1
|
Statlender L, Theou O, Merchshiev R, Shochat T, Kagan I, Cooper L. The pictorial fit-frail scale: a novel tool for frailty assessment in critically ill older adults. BMC Geriatr 2025; 25:105. [PMID: 39962424 PMCID: PMC11831822 DOI: 10.1186/s12877-025-05773-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Accepted: 02/07/2025] [Indexed: 02/21/2025] Open
Abstract
BACKGROUND Frailty is a state of high vulnerability to adverse health outcomes. It is an important factor influencing the prognosis of older, critically ill patients. Several methods to assess frailty were evaluated in the critical care setting. The Pictorial Fit-Frail Scale (PFFS) is a validated quick and easy-to-use tool for frailty assessment. It takes < 5 min to fill by the patient or caregiver; it requires no clinical examination by medical staff. This study evaluated the use of the PFFS in an intensive care unit (ICU). METHODS A single-center retrospective study, performed in an 18-bed mixed medical-surgical ICU in a university-affiliated tertiary hospital. As of 1/9/2022, all older patients are routinely asked to fill out the PFFS. Patients were grouped based on their PFFS score. Baseline characteristics and admission outcomes were compared. Correlation between the PFFS and prognostic scores was examined. Mortality was analyzed using logistic and Cox regressions. RESULTS 168 patients were included. 56 (33.33%) patients were non-frail, 81 (48.21%) were mildly-moderately frail, and 31 (18.45%) were severely frail. There were no differences in baseline characteristics or prognostic scores between frailty groups. No correlation was found between PFFS, age, APACHE2, and SOFA24. Multivariate logistic regression demonstrated an association between frailty and 90d but not with ICU mortality. Cox regression demonstrated higher mortality in the mild-moderate frailty (HR 2.053, 95%CI 1.009, 4.179) and severe frailty (HR 4.353, (95% CI 1.934, 9.801)) groups compared to the non-frail group. CONCLUSION Frailty assessment by the PFFS in the ICU is feasible. Frailty is a distinct characteristic of older, critically ill patients and is independently associated with 90d mortality.
Collapse
Affiliation(s)
- Liran Statlender
- Department of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel.
- School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Olga Theou
- School of Physiotherapy, Dalhousie University, Halifax, NS, B3H 4R2, Canada
- Geriatric Medicine, Dalhousie University, Halifax, NS, B3H 2E1, Canada
| | - Regina Merchshiev
- Department of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel
| | - Tzippy Shochat
- Statistical consulting unit, Rabin Medical Centre, Petah Tikva, Israel
| | - Ilya Kagan
- Department of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel
- School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Institute for Nutrition Research, Felsenstein Medical Research Centre, Petah Tikva, Israel
| | - Lisa Cooper
- School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Geriatric Medicine, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
| |
Collapse
|
2
|
Eymundsdottir H, Blondal BS, Geirsdottir ÓG, Ramel A. Poor Activities of Daily Living Predict Future Weight Loss in Older Adults After Hospital Discharge-Secondary Analysis of a Randomized Trial. J Aging Phys Act 2025; 33:42-50. [PMID: 39151910 DOI: 10.1123/japa.2023-0104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 05/23/2024] [Accepted: 06/06/2024] [Indexed: 08/19/2024]
Abstract
This study examined whether participants with poor activities of daily living (ADLs) at hospital discharge had increased weight loss after 6 months of follow-up and whether nutrition therapy can prevent this weight loss. This dietary randomized controlled trial (N = 104) examined community-dwelling older adults (66-95 years) discharged from hospital and at risk for malnutrition, receiving either 6 months of nutrition therapy (intervention) or only standard care (control). ADL was assessed using seven questions on self-care based on the Katz et al.'s method. At discharge, 45 (43%), 36 (35%), and 23 (22%) had high, medium, and poor ADL, respectively, with no differences between the control and intervention groups according to chi-square test. Participants in the control group with poor ADL had significantly higher weight loss than participants with high ADL (age- and sex-adjusted analysis of covariance: 3.6 kg; 95% confidence interval [1.0, 6.1] kg, p = .007). No such difference was observed in the intervention group. Participants with poor ADL at hospital discharge develop lower body weight by around 3.5 kg 6 months later when compared with participants with high ADL. Receiving nutrition therapy could help older adults with poor ADL to maintain body weight after hospital discharge.
Collapse
Affiliation(s)
| | - Berglind S Blondal
- Faculty of Food Science and Nutrition, School of Health, University of Iceland, Reykjavik, Iceland
| | - Ólöf G Geirsdottir
- Faculty of Food Science and Nutrition, School of Health, University of Iceland, Reykjavik, Iceland
| | - Alfons Ramel
- Faculty of Food Science and Nutrition, School of Health, University of Iceland, Reykjavik, Iceland
| |
Collapse
|
3
|
Hu Q, Zeng Y, Cai L, Liang H, Lv J, Luo J, Liang Y. Exploring geriatric syndromes among physically disabled older adults: A network analysis. Geriatr Nurs 2025; 62:54-61. [PMID: 39864111 DOI: 10.1016/j.gerinurse.2025.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 11/25/2024] [Accepted: 01/16/2025] [Indexed: 01/28/2025]
Abstract
OBJECTIVE To explore the network structure of common geriatric syndromes and conditions in physically disabled older adults. METHODS We chose fourteen common geriatric syndromes and conditions from the dataset and estimated networks with the partial correlation network method. We tested the stability and accuracy of the network using the package "bootnet" in R software. RESULTS The common geriatric syndromes and conditions were positively connected within the network, and strong connections emerged between chronic pain and dyspnea, and urinary incontinence and vision impairment. Polypharmacy, chronic pain, cognitive impairment and urinary incontinence were strongly and directly connected with the network. CONCLUSION Healthcare professionals, caregivers, and older adults should pay more attention to the occurrence and development of these four syndromes as well as the interactions between the different syndromes during intervention planning. Interventions targeting multiple geriatric syndromes or a factor common to various syndromes may be more feasible and more effective.
Collapse
Affiliation(s)
- Qingyang Hu
- Fudan University School of Public Health, Shanghai 200032, China
| | - Yixuan Zeng
- Fudan University School of Public Health, Shanghai 200032, China
| | - Lingying Cai
- School of Nursing, Fudan University, Shanghai 200032, China
| | - Hong Liang
- School of Social Development and Public Policy, Fudan University, Shanghai 200032, China
| | - Juan Lv
- West China School of Nursing, Sichuan University, Sichuan 610041, China; Department of Geriatrics, West China Hospital, Sichuan University, Sichuan 610041, China
| | - Jingjing Luo
- Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200032, China; Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai 210043, China; Jiahua Laboratory, Guangdong 528000, China
| | - Yan Liang
- School of Nursing, Fudan University, Shanghai 200032, China.
| |
Collapse
|
4
|
Alves D, Sobrosa P, Morais Passos R, Silva F, Ferreira A, Corga da Silva R, Silva D. Cerebral Toxoplasmosis Mimicking a Brain Neoplasm in an Inaugural HIV-Positive Patient: The Importance of Early Decision-Making and Background Assessment in the Emergency Department. Cureus 2025; 17:e76936. [PMID: 39906422 PMCID: PMC11793835 DOI: 10.7759/cureus.76936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/04/2025] [Indexed: 02/06/2025] Open
Abstract
Intracranial lesions can present a diagnostic challenge in patients without previously known immunosuppression. When focal neurological signs and seizures occur in a patient with no established medical history, an expansive brain lesion may be initially interpreted as a neoplasm, influencing early clinical decisions regarding the extent of supportive measures. However, opportunistic infections, such as cerebral toxoplasmosis, should remain on the differential diagnosis - particularly after consideration of the patient's background and potential epidemiological risks. We present the case of a middle-aged woman of African origin who presented with new-onset seizures and a prolonged history of anorexia and weight loss. Initial neuroimaging suggested a primary or metastatic brain tumor, raising concerns regarding the patient's prognosis and the appropriateness of aggressive support in the emergency setting. The patient received corticosteroids and anticonvulsants in the emergency department (ED), with a subsequent need to start noninvasive ventilation. Further laboratory workup revealed the inaugural human immunodeficiency virus (HIV) and Toxoplasma gondii infection rather than a neoplastic process. Following targeted antimicrobial therapy and initiation of antiretroviral treatment (ART), she demonstrated remarkable neurological and functional recovery. This case underscores the importance of maintaining a broad differential diagnosis in the ED, performing a thorough background evaluation of patients, and sustaining supportive management until a definitive diagnosis is established.
Collapse
Affiliation(s)
- Diogo Alves
- Critical Care, Unidade Local de Saúde do Alto Minho, Viana do Castelo, PRT
| | - Patrícia Sobrosa
- Internal Medicine, Unidade Local de Saúde do Alto Minho, Viana do Castelo, PRT
| | - Rita Morais Passos
- Critical Care, Unidade Local de Saúde do Alto Minho, Viana do Castelo, PRT
| | - Francisco Silva
- Critical Care, Hospital de Viana do Castelo, Viana do Castelo, PRT
| | - António Ferreira
- Internal Medicine, Unidade Local de Saúde do Alto Minho, Viana do Castelo, PRT
| | | | - Duarte Silva
- Internal Medicine, Unidade Local de Saúde do Alto Minho, Viana do Castelo, PRT
| |
Collapse
|
5
|
Shiotsuka J, Masuyama T, Uchino S, Sasabuchi Y, Suzuki R, Ono S, Yoshinaga K, Iizuka Y, Sanui M. Utilization and outcomes of life-supporting interventions in older ICU patients in Japan: a nationwide registry study. Intensive Care Med 2025; 51:115-124. [PMID: 39774864 DOI: 10.1007/s00134-024-07759-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 12/06/2024] [Indexed: 01/11/2025]
Abstract
PURPOSE The purpose of this study is to describe the implementation of life-supporting interventions and the short-term outcomes of older patients in ICUs in Japan. METHODS All adult patients admitted to ICUs participating in the Japanese Intensive Care Patient Database (JIPAD) from April 1, 2015, to March 31, 2022, were eligible for inclusion. Information, including life-supporting interventions, was retrieved from the database. Patients were divided into six age groups. The primary outcome of interest was the proportion of receiving a composite of the following interventions: mechanical ventilation, continuous renal replacement therapy, and veno-venous or veno-arterial extracorporeal membrane oxygenation. RESULTS Data of a total of 233,093 patients were analyzed. The median age was 71 years, with 18.2% of the patients in their 80s, 5303 patients in their 90s (2.3%), and 67 patients in their 100s. Many life-supporting interventions were provided to older patients. The proportion of patients older than 90 years who received the composite interventions decreased from 40.4% in 18-59 to 27.6% in 90-99. Non-invasive ventilation (NIV) use increased with age, resulting in a consistent proportion of patients receiving either NIV or mechanical ventilation until their 90s. ICU mortality for patients aged 80 years or older was 5.6%, and hospital mortality for this age group was 12.9%. Approximately half of the patients in their 80s and 60% of those older than 90 years did not return home. CONCLUSION Although life-supporting interventions tended to decrease with age, a considerable number of patients of advanced age still received these interventions.
Collapse
Affiliation(s)
- Junji Shiotsuka
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University, Tochigi, Japan
| | - Tomoyuki Masuyama
- Department of Emergency and Critical Care Medicine, Dokkyo Medical University, Tochigi, Japan.
| | - Shigehiko Uchino
- Department of Anesthesiology and Critical Care Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan
| | - Yusuke Sasabuchi
- Department of Real-World Evidence, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Reina Suzuki
- Department of General Internal Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan
| | - Shohei Ono
- Department of Anesthesiology and Critical Care Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan
| | - Koichi Yoshinaga
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University, Tochigi, Japan
| | - Yusuke Iizuka
- Department of Anesthesiology and Critical Care Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan
| | - Masamitsu Sanui
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University, Tochigi, Japan
| |
Collapse
|
6
|
Kim DK, Kim S, Kang DH, Ju H, Oh DK, Lee SY, Park MH, Lim CM, Hyon Y, Lee SI. Influence of underlying condition and performance of sepsis bundle in very old patients with sepsis: a nationwide cohort study. Ann Intensive Care 2024; 14:179. [PMID: 39630376 PMCID: PMC11618279 DOI: 10.1186/s13613-024-01415-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 11/13/2024] [Indexed: 12/08/2024] Open
Abstract
BACKGROUND Sepsis is a life-threatening condition that affects individuals of all ages; however, it presents unique challenges in very old patients due to their complex medical histories and potentially compromised immune systems. This study aimed to investigate the influence of underlying conditions and the performance of sepsis bundle protocols in very old patients with sepsis. METHODS We conducted a nationwide cohort study of adult patients with sepsis prospectively collected from the Korean Sepsis Alliance Database. Underlying conditions, prognosis, and their association with sepsis bundle compliance in patients with sepsis aged ≥ 80 years were analyzed. RESULTS Among the 11,981 patients with sepsis, 3,733 (31.2%) were very old patients aged ≥ 80 years. In-hospital survivors (69.8%) were younger, less likely male, with higher BMI, lower Charlson Comorbidity Index, lower Clinical Frailty Scale, and lower Sequential Organ Failure Assessment (SOFA) scores. The in-hospital survivor group had lower lactate measurement but higher fluid therapy and vasopressor usage within the 1-h bundle. Similar trends were seen in the 3-h and 6-h bundles. Furthermore, in-hospital survivors were more likely to receive appropriate empiric antibiotics within 24 h. In-hospital mortality was associated with age, Clinical Frailty Scale, SOFA score, comorbidities, Life sustaining treatment issue, interventions in the ICU and vasopressor use in the 1-h sepsis bundle. CONCLUSIONS Addressing underlying conditions and enhancing sepsis bundle adherence is crucial for better outcomes in very old patients with sepsis. Personalized approaches and increased awareness are essential. Further research should explore interventions to optimize sepsis care in this population.
Collapse
Affiliation(s)
- Duk Ki Kim
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University School of Medicine, Munhwaro 282Jung Gu, Daejeon, 35015, Republic of Korea
| | - Soyun Kim
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University School of Medicine, Munhwaro 282Jung Gu, Daejeon, 35015, Republic of Korea
| | - Da Hyun Kang
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University School of Medicine, Munhwaro 282Jung Gu, Daejeon, 35015, Republic of Korea
| | - Hyekyeong Ju
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University School of Medicine, Munhwaro 282Jung Gu, Daejeon, 35015, Republic of Korea
| | - Dong Kyu Oh
- Department of Pulmonary and Critical Care Medicine, Dongkang Medical Center, Ulsan, Republic of Korea
| | - Su Yeon Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Mi Hyeon Park
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Chae-Man Lim
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - YunKyong Hyon
- Data-Analytic Research Team, National Institute for Mathematical Sciences, Daejon, Republic of Korea
| | - Song I Lee
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University School of Medicine, Munhwaro 282Jung Gu, Daejeon, 35015, Republic of Korea.
| |
Collapse
|
7
|
Bruno RR, Wernly B, Artigas A, Fuest K, Schaller SJ, Dannenberg L, Kindgen-Milles D, Kelm M, Beil M, Sviri S, Elhadi M, Joannidis M, Oeyen S, Kondili E, Moreno R, Leaver S, Guidet B, De Lange DW, Flaatten H, Szczeklik W, Jung C. Contemporary assessment of short- and functional 90-days outcome in old intensive care patients suffering from COVID-19. J Crit Care 2024; 86:154984. [PMID: 39631193 DOI: 10.1016/j.jcrc.2024.154984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 10/22/2024] [Accepted: 11/21/2024] [Indexed: 12/07/2024]
Abstract
PURPOSE There are limited data about the outcome of old intensive care (ICU) patients suffering from Covid-19 in the post-vaccination era. This study distinguishes the pre- and post-acute illness living conditions of ICU survivors from non-survivors. METHODS This prospective international multicenter study included 642 old (≥ 70 years) ICU patients, including data ranging from pre-illness condition to functional 90-days follow-up. The primary endpoint was the difference of living conditions of ICU-survivors before ICU admission and 90-days after ICU discharge. Secondary outcomes were 90-days mortality, and quality of life. RESULTS A total of 642 patients were included. Significantly more ICU survivors lived at their own homes without support before ICU admission than non-survivors (p = 0.016), while more non-survivors resided in nursing homes (p = 0.016). ICU mortality was 39 %, 30-days and 90 days mortality were 47 %and 55 %. After 90 days, only 22 % maintained the same living conditions. Surviving patients viewed ICU admission positively after 90 days, while relatives were more uncertain. Quality of life indicated a self-reported average score of 60 (50-75). CONCLUSION Living conditions influence the outcome of critically ill old patients suffering from Covid-19. Only a minority returned to their initial habitat after ICU survival. Trial registration numberNCT04321265.
Collapse
Affiliation(s)
- Raphael Romano Bruno
- Heinrich-Heine-University Duesseldorf, Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Duesseldorf, Germany
| | - Bernhard Wernly
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical University, Salzburg, Austria; Institute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Antonio Artigas
- Department of Intensive Care Medicine, CIBER Enfermedades Respiratorias, Corporacion Sanitaria Universitaria Parc Tauli, Autonomous University of Barcelona, Sabadell, Spain
| | - Kristina Fuest
- Technical University of Munich, School of Medicine and Health, Department of Anesthesiology and Intensive Care Medicine, Munich, Germany
| | - Stefan J Schaller
- Medical University of Vienna, Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Division of General Anaesthesia and Intensive Care Medicine, Vienna, Austria; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine (CCM/CVK), Berlin, Germany
| | - Lisa Dannenberg
- Heinrich-Heine-University Duesseldorf, Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Duesseldorf, Germany
| | | | - Malte Kelm
- Heinrich-Heine-University Duesseldorf, Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Duesseldorf, Germany; Heinrich-Heine University, Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Düsseldorf, Germany; CARID (Cardiovascular Research Institute Düsseldorf), Düsseldorf, Germany
| | - Michael Beil
- Dept. of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel
| | - Sigal Sviri
- Dept. of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel
| | | | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Sandra Oeyen
- Department of Intensive Care 1K12IC, Ghent University Hospital, Ghent, Belgium
| | - Eumorfia Kondili
- Department of Intensive Care Medicine, Intensive Care Unit, University Hospital of Heraklion, Greece
| | - Rui Moreno
- Hospital de São José, Unidade Local de Saúde São José, Centro Clinico Académico de Lisboa (CCAL), Lisboa, Portugal; Faculdade de Ciências da Saúde, Uniuversidade da Beira Interior, Covilhã, Portugal
| | - Susannah Leaver
- General Intensive Care, St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Bertrand Guidet
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe: Épidémiologie Hospitalière Qualité et Organisation Des Soins, F-75012 Paris, France; Assistance Publique - Hôpitaux de Paris, Hôpital Saint-Antoine, Service de Réanimation Médicale, Paris F-75012, France
| | - Dylan W De Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, the Netherlands
| | - Hans Flaatten
- Department of Clinical Medicine, University of Bergen, Department of Research and Development, Haukeland University Hospital, Bergen, Norway
| | - Wojciech Szczeklik
- Jagiellonian University Medical College, Center for Intensive Care and Perioperative Medicine, Krakow, Poland
| | - Christian Jung
- Heinrich-Heine-University Duesseldorf, Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Duesseldorf, Germany; Heinrich-Heine University, Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Düsseldorf, Germany; CARID (Cardiovascular Research Institute Düsseldorf), Düsseldorf, Germany.
| |
Collapse
|
8
|
Hiser SL, Fatima A, Dinglas VD, Needham DM. Updates on Post-Intensive Care Syndrome After Acute Respiratory Distress Syndrome: Epidemiology, Core Outcomes, Interventions, and Long-Term Follow-Up. Clin Chest Med 2024; 45:917-927. [PMID: 39443008 DOI: 10.1016/j.ccm.2024.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2024]
Abstract
Acute respiratory distress syndrome (ARDS) survivors often experience post-intensive care syndrome (PICS), is defined as new or worsened impairments in physical, cognitive and/or mental health status persisting beyond hospital discharge. These impairments negatively impact survivors' quality of life and their return to work or usual activities. Moreover, family members are also impacted as recognized by the term, PICS-Family (PICS-F). PICS poses an increased burden on the health care system and has a negative societal impact. There are ongoing efforts to understand risk factors for PICS-related impairments; design and evaluate interventions for specific impairments (including the use of an ARDS survivorship core outcome set); and refine and evaluate ICU recovery clinics to support and treat survivors and their families.
Collapse
Affiliation(s)
- Stephanie L Hiser
- Department of Health, Human Function, and Rehabilitation Sciences, The George Washington University, Washington, DC, USA; Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Outcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD, USA.
| | - Arooj Fatima
- Outcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, 1830 East Monument Street, 5th floor, Baltimore, MD 21287, USA
| | - Victor D Dinglas
- Outcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, 1830 East Monument Street, 5th floor, Baltimore, MD 21287, USA
| | - Dale M Needham
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Outcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, 1830 East Monument Street, 5th floor, Baltimore, MD 21287, USA; School of Nursing, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
9
|
Schwarz GL, Skaar E, Miljeteig I, Hufthammer KO, Burns KEA, Kvåle R, Flaatten H, Schaufel MA. ICU Admission Preferences in the Hypothetical Event of Acute Critical Illness: A Survey of Very Old Norwegians and Their Next-of-Kins. Crit Care Explor 2024; 6:e1185. [PMID: 39652434 PMCID: PMC11630954 DOI: 10.1097/cce.0000000000001185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2024] Open
Abstract
OBJECTIVES To explore older patients' ICU admission preferences and their next-of-kins' ability to predict these preferences. DESIGN Self-administered survey. SETTING Three outpatient clinics, urban tertiary teaching hospital, Norway. PATIENTS Purposive sample of outpatients 80 years old or older regarded as potential ICU candidates and their next-of-kins. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS We asked about the patients' ICU admission preferences in three hypothetical scenarios of acute critical illness. Next-of-kin respondents were asked to make a proxy statement regarding the older respondents' wishes regarding ICU admission. For each treatment choice, all respondents could provide their level of confidence. Additionally, we sought to identify demographic and healthcare-related characteristics that potentially influenced ICU admission preferences and proxy accuracy. Of 202 outpatients 80 years old or older, equal proportions opted for (39%; CI, 33-45%) and against (40%; CI, 34-46%) ICU admission, and one in five (21%; CI, 17-26%) did not wish to engage decision-making. Male gender, religiosity, and prior ICU experience increased the likelihood of older respondents opting for ICU admission. Although next-of-kins' proxy statements only weakly agreed with the older respondents' true ICU admission preferences (52%; CI, 45-59%), they agreed with the next-of-kins' own ICU admission preferences (79%; CI, 73-84%) to a significantly higher degree. Decisional confidence was high for both the older and the next-of-kin respondents. CONCLUSIONS In this purposive sample of Norwegian potential ICU candidates 80 years old or older, we found substantial variation in the ICU admission preferences of very old patients. The next-of-kins' proxy statements did not align with the ICU admission preferences of the older respondents in half of the pairs, but next-of-kins' and older respondents' confidence levels in rendering these judgments were high.
Collapse
Affiliation(s)
- Gabriele Leonie Schwarz
- Department of Surgical Services, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Elisabeth Skaar
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ingrid Miljeteig
- Bergen Centre for Ethics and Priority Setting, University of Bergen, Bergen, Norway
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Karl Ove Hufthammer
- Centre for Clinical Research, Haukeland University Hospital, Bergen, Norway
- Centre for Care Research West, Western Norway University of Applied Sciences, Bergen, Norway
| | - Karen E. A. Burns
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Department of Medicine, Division of Critical Care, Unity Health Toronto—Saint Michael’s Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, ON, Canada
| | - Reidar Kvåle
- Department of Surgical Services, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Hans Flaatten
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Research and Development, Haukeland University Hospital, Bergen, Norway
| | - Margrethe A. Schaufel
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway
| |
Collapse
|
10
|
Charpentier A, Garnier M, Deschasse G, Vandenberghe W, Beuscart JB, Visade F. The 1-year trajectory of older patients transferred from an intensive care unit to an acute geriatric unit. Eur Geriatr Med 2024:10.1007/s41999-024-01108-5. [PMID: 39602072 DOI: 10.1007/s41999-024-01108-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Accepted: 11/07/2024] [Indexed: 11/29/2024]
Abstract
PURPOSE The benefits of intensive care (in terms of the maintenance of functional independence and a reduction in the mortality rate in older patients) are still subject to debate, and the value of geriatric care of older adults discharged from an intensive care unit (ICU) has not been extensively studied. The objective of the present study was to examine the 1-year trajectory of patients transferred from an ICU to an acute geriatric unit (AGU). METHODS We conducted an ambispective, descriptive, single-center study of older adults aged 75 and over from the DAMAGE cohort and having been transferred from an ICU to an AGU. The outcomes (functional independence, according to the Katz Activities of Daily Living (ADL) scale, place of living, and mortality) were documented on discharge from the AGU and 3 and 12 months thereafter. RESULTS Of the 3,500 older adults in the DAMAGE cohort, 130 patients had been admitted to an ICU and transferred to an AGU. Before hospitalization, the median ADL score was 5 out of 6 (interquartile range [IQR] 4-6), with a majority of people living at home (n = 106, 82%). On discharge from the AGU, 113 patients were alive and had a median ADL score of 4 (IQR [2-5]). Fifty-nine patients (52.2%) were discharged to home. At 3 months and 12 months post-discharge, respectively, 97 (85.8%) and 79 (69.9%) patients were still alive and were functionally independent (median ADL scores: 4.5 (IQR [4; 5.5] and 5 (IQR [4-6])); 75 (66.4%) and 57 (50.4%) were still living at home. CONCLUSION Our results show that many older adults transferred from ICU to an AGU maintain their functional independence, which enables them to be discharged to home and remain there for at least the following year. Further research should address the detection of geriatric syndromes at an early stage and the identification of patients who could benefit from the ICU-AGU trajectory.
Collapse
Affiliation(s)
| | - M Garnier
- Department of Geriatrics, Lille Catholic Hospitals, Lille, France
| | - G Deschasse
- Department of Geriatrics, CHU Amiens-Picardie, Amiens, France
- ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Univ. Lille, CHU Lille, 59000, Lille, France
| | - W Vandenberghe
- Department of Statistics, Lille Catholic Hospitals, Lille, France
| | - J B Beuscart
- ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Univ. Lille, CHU Lille, 59000, Lille, France
| | - F Visade
- Department of Geriatrics, Lille Catholic Hospitals, Lille, France.
- ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Univ. Lille, CHU Lille, 59000, Lille, France.
| |
Collapse
|
11
|
Kroken BA, Bergum D, Berg KS, Espinasse M, Fossum OK, Garratt AM, Klepstad P, Kvåle R, Strand B, Flaatten HK, Frisvold SK. Frailty and health-related life quality in long-term follow up of intensive care patients above 65 years old: Protocol for a Norwegian prospective, observational multicenter study. Acta Anaesthesiol Scand 2024; 68:1595-1600. [PMID: 39353584 DOI: 10.1111/aas.14532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 09/09/2024] [Indexed: 10/04/2024]
Abstract
BACKGROUND Frailty is strongly correlated with mortality in intensive care unit patients, yet routine screening among intensive care patients is rarely performed. The aim of this study is to assess frailty and health-related quality of life (HRQoL) in patients before intensive care admission and to compare this with outcomes after 3 and 12-months. The Clinical Frailty Scale and EQ-5D-5L will be used to assess frailty and HRQoL, respectively. METHODS This is an ongoing, prospective observational study including patients from five Norwegian ICU's. Inclusion criteria are patients aged ≥65 years requiring invasive mechanical ventilation for ≥24 h. The Clinical Frailty Scale and EQ-5D-5L are administered at baseline (before critical illness) and at 3- and 12-months post-inclusion. Additional data collected includes patient characteristics, ICU treatment details, illness severity and mortality. The EQ-5D-5L will be compared to Norwegian population norms and assessed for measurement properties. RESULTS Inclusion started July 2022 and will be stopped at 350 patients. The study will be completed in 2025. CONCLUSION The study will assess the feasibility and measurement properties of the Clinical Frailty Scale and EQ-5D-5L in ICU survivors by telephone at long-term follow-up study and will give additional information on the frailty and HRQoL of intensive care survivors. CLINICAL TRIAL REGISTRATION The study is registered in ClinicalTrials.gov NCT06012942. Protocol version 2.7.1, 19.05.2023.
Collapse
Affiliation(s)
- B A Kroken
- Department of Clinical Medicine, UiT the Arctic University of Norway, Tromso, Norway
- Department of Anaesthesia and Intensive care, University Hospital of North Norway, Tromso, Norway
| | - D Bergum
- Department of Anaesthesiology and Intensive Care Medicine, St Olavs University Hospital, Trondheim, Norway
| | - K S Berg
- Department of Anaesthesia and Intensive Care Medicine, Surgical Clinic, Nordland Hospital Trust, Bodø, Norway
- Faculty of Nursing and Health Sciences, Nord University, Bodø, Norway
| | - M Espinasse
- Department of Clinical Research, University Hospital of North Norway, Tromso, Norway
| | - O K Fossum
- Department of Anaesthesia and Intensive care, Akershus University Hospital, Oslo, Norway
| | - A M Garratt
- Division for the Health Services, Norwegian Institute of Public Health, Oslo, Norway
| | - Pal Klepstad
- Department of Anaesthesiology and Intensive Care Medicine, St Olavs University Hospital, Trondheim, Norway
| | - Reidar Kvåle
- Department of Research and Development, Haukeland University Hospital, Bergen, Norway
- Department of Anaesthesia and Intensive Care, Haukeland University, Bergen, Norway
- K1, Medical Faculty, University of Bergen, Bergen, Norway
| | - B Strand
- Department of Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Shirin K Frisvold
- Department of Clinical Medicine, UiT the Arctic University of Norway, Tromso, Norway
- Department of Anaesthesia and Intensive care, University Hospital of North Norway, Tromso, Norway
| |
Collapse
|
12
|
Bruno RR, Schemmelmann M, Hornemann J, Moecke HME, Demirtas F, Palici L, Marinova R, Kanschik D, Binnebößel S, Spomer A, Guidet B, Leaver S, Flaatten H, Szczeklik W, Mikiewicz M, De Lange DW, Quenard S, Beil M, Kelm M, Jung C. Sublingual microcirculatory assessment on admission independently predicts the outcome of old intensive care patients suffering from shock. Sci Rep 2024; 14:25668. [PMID: 39463395 PMCID: PMC11514226 DOI: 10.1038/s41598-024-77357-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 10/22/2024] [Indexed: 10/29/2024] Open
Abstract
Shock is a life-threatening condition. This study evaluated if sublingual microcirculatory perfusion on admission is associated with 30-day mortality in older intensive care unit (ICU) shock patients. This trial prospectively recruited ICU patients (≥ 80 years old) with arterial lactate above 2 mmol/L, requiring vasopressors despite adequate fluid resuscitation, regardless of shock cause. All patients received sequential sublingual measurements on ICU admission (± 4 h) and 24 (± 4) hours later. The primary endpoint was 30-day mortality. From September 4th, 2022, to May 30th, 2023, 271 patients were screened, and 44 included. Patients were categorized based on the median percentage of perfused small vessels (sPPV) into those with impaired and sustained microcirculation. 71% of videos were of good or acceptable quality without safety issues. Patients with impaired microcirculation had significantly shorter ICU and hospital stays (p = 0.015 and p = 0.019) and higher 30-day mortality (90.0% vs. 62.5%, p = 0.036). Cox regression confirmed the independent association of impaired microcirculation with 30-day mortality (adjusted hazard ratio 3.245 (95% CI 1.178 to 8.943, p = 0.023). Measuring sublingual microcirculation in critically ill older patients with shock on ICU admission is safe, feasible, and provides independent prognostic information about outcomes.Trial registration NCT04169204.
Collapse
Affiliation(s)
- Raphael Romano Bruno
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Mara Schemmelmann
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Johanna Hornemann
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Helene Mathilde Emilie Moecke
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Filiz Demirtas
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Lina Palici
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Radost Marinova
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Dominika Kanschik
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Stephan Binnebößel
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Armin Spomer
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Bertrand Guidet
- Equipe: épidémiologie hospitalière qualité et organisation des soins, Sorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, 75012, France
- Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Antoine, service de réanimation médicale, Paris, 75012, France
| | - Susannah Leaver
- General Intensive care, St George's University Hospitals NHS Foundation trust, London, UK
| | - Hans Flaatten
- Department of Clinical Medicine, Department of Anaestesia and Intensive Care, University of Bergen, Haukeland University Hospital, Bergen, Norway
| | - Wojciech Szczeklik
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Maciej Mikiewicz
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Dylan W De Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, the Netherlands
| | - Stanislas Quenard
- Equipe: épidémiologie hospitalière qualité et organisation des soins, Sorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, 75012, France
- Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Antoine, service de réanimation médicale, Paris, 75012, France
| | - Michael Beil
- General and Medical Intensive Care Units, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Malte Kelm
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
- CARID (Cardiovascular Research Institute Düsseldorf), Duesseldorf, Germany
| | - Christian Jung
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
- CARID (Cardiovascular Research Institute Düsseldorf), Duesseldorf, Germany.
- Division of Cardiology, Pulmonology, and Vascular Medicine, University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
| |
Collapse
|
13
|
Misset B, Diep AN, Bertrand A, Piagnerelli M, Hoste E, Michaux I, De Waele E, Dumoulin A, Jorens PG, van der Hauwaert E, Vallot F, Swinnen W, De Schryver N, de Mey N, Layios N, Mesland JB, Robinet S, Cavalier E, Donneau AF, Moutschen M, Laterre PF. Immunological sub-phenotypes and response to convalescent plasma in COVID-19 induced ARDS: a secondary analysis of the CONFIDENT trial. Ann Intensive Care 2024; 14:160. [PMID: 39432177 PMCID: PMC11493925 DOI: 10.1186/s13613-024-01392-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 10/10/2024] [Indexed: 10/22/2024] Open
Abstract
BACKGROUND Convalescent plasma (CP) reduced the mortality in COVID-19 induced ARDS (C-ARDS) patients treated in the CONFIDENT trial. As patients are immunologically heterogeneous, we hypothesized that clusters may differ in their treatment responses to CP. METHODS We measured 20 cytokines, chemokines and cell adhesion markers using a multiplex technique at the time of inclusion in the CONFIDENT trial in patients of centers having accepted to participate in this secondary study. We performed descriptive statistics, unsupervised hierarchical cluster analysis, and examined the association between the clusters and CP effect on day-28 mortality. RESULTS Of the 475 patients included in CONFIDENT, 391 (82%) were sampled, and 196/391 (50.1%) had been assigned to CP. We identified four sub-phenotypes representing 89 (22.8%), 178 (45.5%), 38 (9.7%), and 86 (22.0%) patients. The most contributing biomarkers in the principal component analysis were IL-1β, IL-12p70, IL-6, IFN-α, IL-17A, IFN-γ, IL-13, TFN-α, total IgG, and CXCL10. Sub-phenotype-1 displayed a lower immune response, sub-phenotype-2 a higher adaptive response, sub-phenotype-3 the highest innate antiviral, pro and anti-inflammatory response, and adhesion molecule activation, and sub-phenotype-4 a higher pro and anti-inflammatory response, migration protein and adhesion molecule activation. Sub-phenotype-2 and sub-phenotype-4 had higher severity at the time of inclusion. The effect of CP treatment on mortality appeared higher than standard care in each sub-phenotype, without heterogeneity between sub-phenotypes (p = 0.97). CONCLUSION In patients with C-ARDS, we identified 4 sub-phenotypes based on their immune response. These sub-phenotypes were associated with different clinical profiles. The response to CP was similar across the 4 sub-phenotypes. TRIAL REGISTRATION Ethics Committee of the University Hospital of Liège CE 2020/239. CLINICALTRIALS gov NCT04558476. Registered 2020-09-11, https://www. CLINICALTRIALS gov/study/NCT04558476 .
Collapse
Affiliation(s)
- Benoît Misset
- Department of Intensive Care Medicine, Liège University, CHU de Liège, Liege, Belgium.
- Department of Intensive Care Medicine, University Hospital of Liège, Domaine Universitaire du Sart-Tilman, 4000, Liège, Belgium.
| | - Anh Nguyet Diep
- Biostatistic Unit, Public Health Department, Liège University, Liege, Belgium
| | - Axelle Bertrand
- Department of Intensive Care Medicine, Liège University, CHU de Liège, Liege, Belgium
| | - Michael Piagnerelli
- Department of Intensive Care Medicine, Marie-Curie University Hospital, Université Libre de Bruxelles, Charleroi, Belgium
| | - Eric Hoste
- Department of Intensive Care Medicine, University Hospital, Ghent, Belgium
| | - Isabelle Michaux
- Department of Intensive Care, Université Catholique de Louvain, CHU UCL Namur, Yvoir, Belgium
| | - Elisabeth De Waele
- Department of Clinical Nutrition, Vrije Universiteit Brussel Brussels University Hospital, Jette, Belgium
| | - Alexander Dumoulin
- Department of Intensive Care Medicine, Delta General Hospital, Roeselare, Belgium
| | - Philippe G Jorens
- Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, LEMP, Edegem, Belgium
| | | | - Frédéric Vallot
- Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai, Belgium
| | - Walter Swinnen
- Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde, Belgium
| | - Nicolas De Schryver
- Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies, Belgium
| | - Nathalie de Mey
- Department of Intensive Care Medicine, OLV General Hospital, Aalst, Belgium
| | - Nathalie Layios
- Department of Intensive Care Medicine, Liège University, CHU de Liège, Liege, Belgium
| | - Jean-Baptiste Mesland
- Department of Intensive Care Medicine, Saint-Luc University Hospital, Brussels, Belgium
| | - Sébastien Robinet
- Department of Intensive Care Medicine, Liège University, CHU de Liège, Liege, Belgium
| | - Etienne Cavalier
- Department of Clinical Chemistry, University of Liege, CIRM, CHU de Liège, Liege, Belgium
| | | | | | | |
Collapse
|
14
|
Coppola S, Radovanovic D, Pozzi T, Danzo F, Rocco C, Lazzaroni G, Santus P, Chiumello D. Non-invasive respiratory support in elderly hospitalized patients. Expert Rev Respir Med 2024; 18:789-804. [PMID: 39267448 DOI: 10.1080/17476348.2024.2404696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 09/01/2024] [Accepted: 09/11/2024] [Indexed: 09/17/2024]
Abstract
INTRODUCTION The proportion of elderly people among hospitalized patients is rapidly growing. Between 7% to 25% of ICU patients are aged 85 and over and noninvasive respiratory support is often offered to avoid the risks of invasive mechanical ventilation or in patients with a 'do-not-intubate' order. However, while noninvasive respiratory support has been extensively studied in the general population, there is limited data available on its efficacy in elderly patients with ARF. AREAS COVERED PubMed/Medline, Web of Science, Scopus and Embase online databases were searched for studies that assessed clinical efficacy of high flow nasal cannula, continuous positive airway pressure and noninvasive ventilation in patients ≥ 65 years old with acute de novo ARF, showing that short to mid-term benefits provided by noninvasive respiratory support in elderly patients in terms of reduction of mechanical ventilation risk and mortality are similar to younger patients, if adjusted for the severity of comorbidities and respiratory failure. EXPERT OPINION Noninvasive support strategies can represent an effective opportunity in elderly patients with ARF, especially in patients too frail to undergo endotracheal intubation and in whom received or decided for a 'do not intubate' order. Indeed, noninvasive support has a different impact, depending on the setting.
Collapse
Affiliation(s)
- Silvia Coppola
- Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, Milan, Italy
| | - Dejan Radovanovic
- Division of Respiratory Diseases, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Milan, Italy
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Milan, Italy
| | - Tommaso Pozzi
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Fiammetta Danzo
- Division of Respiratory Diseases, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Cosmo Rocco
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Giada Lazzaroni
- Division of Respiratory Diseases, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Pierachille Santus
- Division of Respiratory Diseases, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Milan, Italy
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Milan, Italy
| | - Davide Chiumello
- Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, Milan, Italy
- Department of Health Sciences, University of Milan, Milan, Italy
- Coordinated Research Center on Respiratory Failure, University of Milan, Milan, Italy
| |
Collapse
|
15
|
Perrella A, Geen O, Ahuja M, Scott S, Kaushik R, Ferrante LE, Brummel NE, Muscedere J, Rochwerg B. Exploring the Impact of Age, Frailty, and Multimorbidity on the Effect of ICU Interventions: A Systematic Review of Randomized Controlled Trials. Crit Care Med 2024; 52:e463-e472. [PMID: 38661459 DOI: 10.1097/ccm.0000000000006315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
OBJECTIVES To date, age, frailty, and multimorbidity have been used primarily to inform prognosis in older adults. It remains uncertain, however, whether these patient factors may also predict response to critical care interventions or treatment outcomes. DATA SOURCES We conducted a systematic search of top general medicine and critical care journals for randomized controlled trials (RCTs) examining critical care interventions published between January 1, 2011, and December 31, 2021. STUDY SELECTION We included RCTs of critical care interventions that examined any one of three subgroups-age, frailty, or multimorbidity. We excluded cluster RCTs, studies that did not report interventions in an ICU, and studies that did not report data examining subgroups of age, frailty, or multimorbidity. DATA EXTRACTION We collected study characteristics (single vs. multicountry enrollment, single vs. multicenter enrollment, funding, sample size, intervention, comparator, primary outcome and secondary outcomes, length of follow-up), study population (inclusion and exclusion criteria, average age in intervention and comparator groups), and subgroup data. We used the Instrument for assessing the Credibility of Effect Modification Analyses instrument to evaluate the credibility of subgroup findings. DATA SYNTHESIS Of 2037 unique citations, we included 48 RCTs comprising 50,779 total participants. Seven (14.6%) RCTs found evidence of statistically significant effect modification based on age, whereas none of the multimorbidity or frailty subgroups found evidence of statistically significant subgroup effect. Subgroup credibility ranged from very low to moderate. CONCLUSIONS Most critical care RCTs do not examine for subgroup effects by frailty or multimorbidity. Although age is more commonly considered, the cut-point is variable, and relative effect modification is rare. Although interventional effects are likely similar across age groups, shared decision-making based on individual patient preferences must remain a priority. RCTs focused specifically on critically ill older adults or those living with frailty and/or multimorbidity are crucial to further address this research question.
Collapse
Affiliation(s)
- Andrew Perrella
- Department of Medicine, Division of Geriatric Medicine, McMaster University, Hamilton, ON, Canada
| | - Olivia Geen
- Department of Medicine, Division of Geriatric Medicine, Trillium Health Partners, Mississauga, ON, Canada
| | - Manan Ahuja
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Stephanie Scott
- Department of Pediatrics, Western University, London, ON, Canada
| | - Ramya Kaushik
- Department of Medicine, Yale University, New Haven, CT
| | - Lauren E Ferrante
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - Nathan E Brummel
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH
| | - John Muscedere
- Department of Critical Care Medicine, Queens University, Kingston, ON, Canada
| | - Bram Rochwerg
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| |
Collapse
|
16
|
Brandvold M, Rustøen T, Hagen M, Stubberud J, van den Boogaard M, Hofsø K. Inter-rater agreement between patient- and proxy-reported cognitive functioning in intensive care unit patients: A cohort study. Aust Crit Care 2024; 37:701-709. [PMID: 38614955 DOI: 10.1016/j.aucc.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 03/01/2024] [Accepted: 03/03/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Health status, including cognitive functioning before critical illness, is associated with long-term outcomes in intensive care unit survivors. Premorbid data are therefore of importance in longitudinal studies. Few patients can self-report at intensive care admission. Consequently, proxy assessments of patients' health status are used. However, it remains unclear how accurately proxies can report on an intensive care patient's cognitive status. OBJECTIVES The aim of this study was to examine the agreement between patient- and proxy-reporting of the Cognitive Failures Questionnaire and to compare the agreement between proxy reports using the latter questionnaire and the Informant Questionnaire of Cognitive Decline in the Elderly as a reference. METHODS The present cohort study is part of a longitudinal multicentre study collecting both patient and proxy data using questionnaires and clinical data from medical records during intensive care unit stays. Agreement on patient and proxy pairs was examined using intraclass correlation coefficient (ICC), Spearman's correlation, percentage agreement, and Gwet's AC1 statistics. Agreement between the proxy-reported questionnaires was examined using percentage agreement and Gwet's AC1 statistics. RESULTS In total, we collected 99 pairs of patient-proxy assessments and 158 proxy-proxy assessments. The ICC for the sum scores revealed moderate agreement (n = 99; ICC = 0.59; 99% confidence interval [CI]: [0.30-0.76]) between patient and proxy. Agreement on items was poor (AC1 = 0.13; 99% CI: [0.01-0.24]) to moderate (AC1 = 0.55; 99% CI: [0.43-0.68]). Agreement using cut-off scores (>43) to indicate cognitive impairment was very good (89.9%, AC1 = 0.87; 99% CI: [0.79-0.95]). Agreement between the proxy-reported Cognitive Failures Questionnaire (>43) and the reference questionnaire (≥3.5) was also very good (n = 158; 85%, AC1 = 0.82; 99% CI: [0.74-0.90]). CONCLUSIONS Proxy assessments of the Cognitive Failures Questionnaire (>43) may be used to indicate cognitive impairment if patients are unable to self-report. Agreement was high between the two questionnaires determined by proxies, showing that these can be used interchangeably to assess cognitive functioning if proxy reporting is needed.
Collapse
Affiliation(s)
- Malin Brandvold
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, P.O. Box 4950, Nydalen, 0424 Oslo, Norway; Faculty of Medicine, Institute of Health and Society, University of Oslo, P.O.box 1089 Blindern, 0318 Oslo, Norway.
| | - Tone Rustøen
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, P.O. Box 4950, Nydalen, 0424 Oslo, Norway; Faculty of Medicine, Institute of Health and Society, University of Oslo, P.O.box 1089 Blindern, 0318 Oslo, Norway
| | - Milada Hagen
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, P.O. Box 4950, Nydalen, 0424 Oslo, Norway; Faculty of Health Sciences, Department of Public Health, Oslo Metropolitan University, P.O. Box 4, St. Olavs Plass 0130 Oslo, Norway
| | - Jan Stubberud
- Department of Psychology, University of Oslo, P.O. Box 1094 Blindern, 0317 Oslo, Norway; Department of Research, Lovisenberg Diaconal Hospital, P.O. Box 4970 Nydalen, 0440 Oslo, Norway
| | - Mark van den Boogaard
- Radboud University Medical Center, Department of Intensive Care, P.O. Box 91016500 HB Nijmegen, the Netherlands
| | - Kristin Hofsø
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, P.O. Box 4950, Nydalen, 0424 Oslo, Norway; Lovisenberg Diaconal University College, Lovisenberggata 15b, 0456 Oslo, Norway; Department of Postoperative and Intensive Care Nursing, Division of Emergencies and Critical Care, Oslo University Hospital, P.O. Box 4950, Nydalen, 0424 Oslo, Norway
| |
Collapse
|
17
|
Xu Y, Zhang W, Ma X, Wu M, Jiang X. Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients. Sci Rep 2024; 14:16738. [PMID: 39033248 PMCID: PMC11271295 DOI: 10.1038/s41598-024-67785-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 07/16/2024] [Indexed: 07/23/2024] Open
Abstract
We developed an interpretable machine learning algorithm that prospectively predicts the risk of thrombocytopenia in older critically ill patients during their stay in the intensive care unit (ICU), ultimately aiding clinical decision-making and improving patient care. Data from 2286 geriatric patients who underwent surgery and were admitted to the ICU of Dongyang People's Hospital between 2012 and 2021 were retrospectively analyzed. Integrated algorithms were developed, and four machine-learning algorithms were used. Selected characteristics included common demographic data, biochemical indicators, and vital signs. Eight key variables were selected using the Least Absolute Shrinkage and Selection Operator and Random Forest Algorithm. Thrombocytopenia occurred in 18.2% of postoperative geriatric patients, with a higher mortality rate. The C5.0 model showed the best performance, with an area under the receiver operating characteristic curve close to 0.85, along with unparalleled accuracy, precision, specificity, recall, and balanced accuracy scores of 0.88, 0.98, 0.89, 0.98, and 0.85, respectively. The support vector machine model excelled at predictively assessing thrombocytopenia severity, demonstrating an accuracy rate of 0.80 in the MIMIC database. Thus, our machine learning-based models have considerable potential in effectively predicting the risk and severity of postoperative thrombocytopenia in geriatric ICU patients for better clinical decision-making and patient care.
Collapse
Affiliation(s)
- Yingting Xu
- Intensive Care Unit, Affiliated Dongyang Hospital of Wenzhou Medical University, No. 60 Wuning West Road, Dongyang, Jinhua, Zhejiang, People's Republic of China
| | - Weimin Zhang
- Intensive Care Unit, Affiliated Dongyang Hospital of Wenzhou Medical University, No. 60 Wuning West Road, Dongyang, Jinhua, Zhejiang, People's Republic of China
| | - Xuchao Ma
- Intensive Care Unit, Affiliated Dongyang Hospital of Wenzhou Medical University, No. 60 Wuning West Road, Dongyang, Jinhua, Zhejiang, People's Republic of China
| | - Muying Wu
- Intensive Care Unit, Affiliated Dongyang Hospital of Wenzhou Medical University, No. 60 Wuning West Road, Dongyang, Jinhua, Zhejiang, People's Republic of China
| | - Xuandong Jiang
- Intensive Care Unit, Affiliated Dongyang Hospital of Wenzhou Medical University, No. 60 Wuning West Road, Dongyang, Jinhua, Zhejiang, People's Republic of China.
| |
Collapse
|
18
|
Zhang M, Kozlowski H, Chew R, Htun NSN, Morris SK, Akladious C, Sarker AR, Lubell Y, Peto TJ. The spectrum of health conditions in community-based cross-sectional surveys in Southeast Asia 2010-21: a scoping review. BMC Public Health 2024; 24:1853. [PMID: 38992660 PMCID: PMC11238468 DOI: 10.1186/s12889-024-19347-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 07/03/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUND Southeast Asia is undergoing an epidemiological transition with non-communicable illnesses becoming increasingly important, yet infectious diseases (tuberculosis, HIV, hepatitis B, malaria) remain widely prevalent in some populations, while emerging and zoonotic diseases threaten. There are also limited population-level estimates of many important heath conditions. This restricts evidence-based decision-making for disease control and prevention priorities. Cross-sectional surveys can be efficient epidemiological tools to measure the prevalence of a wide range of diseases, but no systematic assessment of their coverage of different health conditions has been produced for the region. METHODS We conducted a systematic search in Medline, Embase, Global Health, CINAHL, Scopus, Web of Science Core Collection, and Global Index Medicus, and additionally Google Scholar. Our inclusion criteria were cross-sectional surveys conducted with community-based recruitment, in Bangladesh, Cambodia, Laos, Myanmar, and Thailand, published between January 1, 2010 and January 27, 2021, and reporting the prevalence of any health condition. RESULTS 542 publications from 337 surveys were included. Non-communicable conditions (n = 205) were reported by more surveys than infectious conditions (n = 124). Disability (n = 49), self-report history of any disease or symptoms (n = 35), and self-perceived health status (n = 34), which reflect a holistic picture of health, were studied by many fewer surveys. In addition, 45 surveys studied symptomatic conditions which overlap between non-communicable and infectious conditions. The most surveyed conditions were undernutrition, obesity, hypertension, diabetes, intestinal parasites, malaria, anemia, diarrhea, fever, and acute respiratory infections. These conditions overlap with the most important causes of death and disability in the Global Burden of Disease study. However, other high-burden conditions (e.g. hearing loss, headache disorder, low back pain, chronic liver and kidney diseases, and cancers) were rarely studied. CONCLUSION There were relatively few recent surveys from which to estimate representative prevalences and trends of health conditions beyond those known to be high burden. Expanding the spectrum of health conditions in cross-sectional surveys could improve understanding of evolving disease patterns in the region.
Collapse
Affiliation(s)
- Meiwen Zhang
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
| | - Hannah Kozlowski
- University of Toronto Temerty Faculty of Medicine, Toronto, Canada
- Division of Infectious Diseases and Centre for Global Child Health, Hospital for Sick Children, Toronto, ON, Canada
| | - Rusheng Chew
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Nan Shwe Nwe Htun
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Shaun K Morris
- Division of Infectious Diseases and Centre for Global Child Health, Hospital for Sick Children, Toronto, ON, Canada
| | | | | | - Yoel Lubell
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Thomas J Peto
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| |
Collapse
|
19
|
Muscedere J, Bagshaw SM, Kho M, Mehta S, Cook DJ, Boyd JG, Sibley S, Wang HT, Archambault PM, Albert M, Rewa OG, Ball I, Norman PA, Day AG, Hunt M, Loubani O, Mele T, Sarti AJ, Shahin J. Frailty, Outcomes, Recovery and Care Steps of Critically Ill Patients (FORECAST): a prospective, multi-centre, cohort study. Intensive Care Med 2024; 50:1064-1074. [PMID: 38748266 PMCID: PMC11245420 DOI: 10.1007/s00134-024-07404-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 03/19/2024] [Indexed: 07/14/2024]
Abstract
PURPOSE Frailty is common in critically ill patients but the timing and optimal method of frailty ascertainment, trajectory and relationship with care processes remain uncertain. We sought to elucidate the trajectory and care processes of frailty in critically ill patients as measured by the Clinical Frailty Scale (CFS) and Frailty Index (FI). METHODS This is a multi-centre prospective cohort study enrolling patients ≥ 50 years old receiving life support > 24 h. Frailty severity was assessed with a CFS, and a FI based on the elements of a comprehensive geriatric assessment (CGA) at intensive care unit (ICU) admission, hospital discharge and 6 months. For the primary outcome of frailty prevalence, it was a priori dichotomously defined as a CFS ≥ 5 or FI ≥ 0.2. Processes of care, adverse events were collected during ICU and ward stays while outcomes were determined for ICU, hospital, and 6 months. RESULTS In 687 patients, whose age (mean ± standard deviation) was 68.8 ± 9.2 years, frailty prevalence was higher when measured with the FI (CFS, FI %): ICU admission (29.8, 44.8), hospital discharge (54.6, 67.9), 6 months (34.1, 42.6). Compared to ICU admission, aggregate frailty severity increased to hospital discharge but improved by 6 months; individually, CFS and FI were higher in 45.3% and 50.6% patients, respectively at 6 months. Compared to hospital discharge, 18.7% (CFS) and 20% (FI) were higher at 6 months. Mortality was higher in frail patients. Processes of care and adverse events were similar except for worse ICU/ward mobility and more frequent delirium in frail patients. CONCLUSIONS Frailty severity was dynamic, can be measured during recovery from critical illness using the CFS and FI which were both associated with worse outcomes. Although the CFS is a global measure, a CGA FI based may have advantages of being able to measure frailty levels, identify deficits, and potential targets for intervention.
Collapse
Affiliation(s)
- John Muscedere
- Department of Critical Care Medicine, Kingston Health Sciences Center, Queen's University, 76 Stuart Street, Kingston, ON, K7L 2V7, Canada.
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada
| | - Michelle Kho
- School of Rehabilitation Science, Faculty of Health Science, Physiotherapy Department, McMaster University, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Sangeeta Mehta
- Interdepartmental Division of Critical Care Medicine, Department of Medicine, Sinai Health System, University of Toronto, Toronto, ON, Canada
| | - Deborah J Cook
- Departments of Medicine, Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada
| | - J Gordon Boyd
- Department of Medicine (Neurology) and Critical Care Medicine, Queen's University, Kingston, ON, Canada
| | - Stephanie Sibley
- Department of Critical Care Medicine, Kingston Health Sciences Center, Queen's University, 76 Stuart Street, Kingston, ON, K7L 2V7, Canada
| | - Han T Wang
- Division of Critical Care Medicine, Department of Medicine, Centre Hospitalier de L'Universite de Montreal, Montreal, QC, Canada
| | - Patrick M Archambault
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Québec, QC, Canada
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, Université Laval, Québec, QC, Canada
| | - Martin Albert
- Division of Critical Care Medicine, Department of Medicine, Hôpital du Sacré-Coeur de Montréal Research Center and Université de Montréal, Montreal, QC, Canada
| | - Oleksa G Rewa
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada
| | - Ian Ball
- Department of Medicine and Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
| | - Patrick A Norman
- Kingston General Health Research Institute and Kingston Health Sciences Centre, Kingston, Canada
| | - Andrew G Day
- Kingston General Health Research Institute and Kingston Health Sciences Centre, Kingston, Canada
| | - Miranda Hunt
- Department of Critical Care Medicine, Kingston Health Sciences Center, Queen's University, 76 Stuart Street, Kingston, ON, K7L 2V7, Canada
| | - Osama Loubani
- Department of Critical Care, Dalhousie University, Halifax, ON, Canada
| | - Tina Mele
- Department of Surgery, University of Western Ontario, London, ON, Canada
| | - Aimee J Sarti
- Department of Critical Care, The Ottawa Hospital, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Jason Shahin
- Department of Medicine, McGill University, Montreal, Qc, Canada
| |
Collapse
|
20
|
Lee SI, Huh JW, Hong SB, Koh Y, Lim CM. Age Distribution and Clinical Results of Critically Ill Patients above 65-Year-Old in an Aging Society: A Retrospective Cohort Study. Tuberc Respir Dis (Seoul) 2024; 87:338-348. [PMID: 38419573 PMCID: PMC11222105 DOI: 10.4046/trd.2023.0155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/06/2023] [Accepted: 02/27/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Increasing age has been observed among patients admitted to the intensive care unit (ICU). Age traditionally considered a risk factor for ICU mortality. We investigated how the epidemiology and clinical outcomes of older ICU patients have changed over a decade. METHODS We analyzed patients admitted to the ICU at a university hospital in Seoul, South Korea. We defined patients aged 65 and older as older patients. Changes in age groups and mortality risk factors over the study period were analyzed. RESULTS A total of 32,322 patients were enrolled who aged ≥65 years admitted to the ICUs between January 1, 2007, and December 31, 2017. Patients aged ≥65 years accounted for 35% and of these, the older (O, 65 to 74 years) comprised 19,630 (66.5%), very older (VO, 75 to 84 years) group 8,573 (29.1%), and very very older (VVO, ≥85 years) group 1,300 (4.4%). The mean age of ICU patients over the study period increased (71.9±5.6 years in 2007 vs. 73.2±6.1 years in 2017) and the proportions of the VO and VVO group both increased. Over the period, the proportion of female increased (37.9% in 2007 vs. 43.3% in 2017), and increased ICU admissions for medical reasons (39.7% in 2007 vs. 40.2% in 2017). In-hospital mortality declined across all older age groups, from 10.3% in 2007 to 7.6% in 2017. Hospital length of stay (LOS) decreased in all groups, but ICU LOS decreased only in the O and VO groups. CONCLUSION The study indicates a changing demographic in ICUs with an increase in older patients, and suggests a need for customized ICU treatment strategies and resources.
Collapse
Affiliation(s)
- Song I Lee
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Republic of Korea
| | - Jin Won Huh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang-Bum Hong
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Younsuck Koh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Chae-Man Lim
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
21
|
Beil M, Moreno R, Fronczek J, Kogan Y, Moreno RPJ, Flaatten H, Guidet B, de Lange D, Leaver S, Nachshon A, van Heerden PV, Joskowicz L, Sviri S, Jung C, Szczeklik W. Prognosticating the outcome of intensive care in older patients-a narrative review. Ann Intensive Care 2024; 14:97. [PMID: 38907141 PMCID: PMC11192712 DOI: 10.1186/s13613-024-01330-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 06/10/2024] [Indexed: 06/23/2024] Open
Abstract
Prognosis determines major decisions regarding treatment for critically ill patients. Statistical models have been developed to predict the probability of survival and other outcomes of intensive care. Although they were trained on the characteristics of large patient cohorts, they often do not represent very old patients (age ≥ 80 years) appropriately. Moreover, the heterogeneity within this particular group impairs the utility of statistical predictions for informing decision-making in very old individuals. In addition to these methodological problems, the diversity of cultural attitudes, available resources as well as variations of legal and professional norms limit the generalisability of prediction models, especially in patients with complex multi-morbidity and pre-existing functional impairments. Thus, current approaches to prognosticating outcomes in very old patients are imperfect and can generate substantial uncertainty about optimal trajectories of critical care in the individual. This article presents the state of the art and new approaches to predicting outcomes of intensive care for these patients. Special emphasis has been given to the integration of predictions into the decision-making for individual patients. This requires quantification of prognostic uncertainty and a careful alignment of decisions with the preferences of patients, who might prioritise functional outcomes over survival. Since the performance of outcome predictions for the individual patient may improve over time, time-limited trials in intensive care may be an appropriate way to increase the confidence in decisions about life-sustaining treatment.
Collapse
Affiliation(s)
- Michael Beil
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rui Moreno
- Unidade Local de Saúde São José, Hospital de São José, Lisbon, Portugal
- Centro Clínico Académico de Lisboa, Lisbon, Portugal
- Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| | - Jakub Fronczek
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Yuri Kogan
- Institute for Medical Biomathematics, Bene Ataroth, Israel
| | | | - Hans Flaatten
- Department of Research and Development, Haukeland University Hospital, Bergen, Norway
| | - Bertrand Guidet
- INSERM, Institut Pierre Louis d'Epidémiologie Et de Santé Publique, AP-HP, Hôpital Saint Antoine, Sorbonne Université, Service MIR, Paris, France
| | - Dylan de Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Susannah Leaver
- General Intensive Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Akiva Nachshon
- General Intensive Care Unit, Department of Anaesthesiology, Critical Care and Pain Medicine, Faculty of Medicine, Hebrew University and, Hadassah University Medical Center, Jerusalem, Israel
| | - Peter Vernon van Heerden
- General Intensive Care Unit, Department of Anaesthesiology, Critical Care and Pain Medicine, Faculty of Medicine, Hebrew University and, Hadassah University Medical Center, Jerusalem, Israel
| | - Leo Joskowicz
- School of Computer Science and Engineering and Center for Computational Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sigal Sviri
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Christian Jung
- Department of Cardiology, Pulmonology and Vascular Medicine, Faculty of Medicine, Heinrich-Heine-University, University Duesseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Wojciech Szczeklik
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| |
Collapse
|
22
|
Moïsi L, Mino JC, Guidet B, Vallet H. Frailty assessment in critically ill older adults: a narrative review. Ann Intensive Care 2024; 14:93. [PMID: 38888743 PMCID: PMC11189387 DOI: 10.1186/s13613-024-01315-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/17/2024] [Indexed: 06/20/2024] Open
Abstract
Frailty, a condition that was first defined 20 years ago, is now assessed via multiple different tools. The Frailty Phenotype was initially used to identify a population of "pre-frail" and "frail" older adults, so as to prevent falls, loss of mobility, and hospitalizations. A different definition of frailty, via the Clinical Frailty Scale, is now actively used in critical care situations to evaluate over 65 year-old patients, whether it be for Intensive Care Unit (ICU) admissions, limitation of life-sustaining treatments or prognostication. Confusion remains when mentioning "frailty" in older adults, as to which tools are used, and what the impact or the bias of using these tools might be. In addition, it is essential to clarify which tools are appropriate in medical emergencies. In this review, we clarify various concepts and differences between frailty, functional autonomy and comorbidities; then focus on the current use of frailty scales in critically ill older adults. Finally, we discuss the benefits and risks of using standardized scales to describe patients, and suggest ways to maintain a complex, three-dimensional, patient evaluation, despite time constraints. Frailty in the ICU is common, involving around 40% of patients over 75. The most commonly used scale is the Clinical Frailty Scale (CFS), a rapid substitute for Comprehensive Geriatric Assessment (CGA). Significant associations exist between the CFS-scale and both short and long-term mortality, as well as long-term outcomes, such as loss of functional ability and being discharged home. The CFS became a mainstream tool newly used for triage during the Covid-19 pandemic, in response to the pressure on healthcare systems. It was found to be significantly associated with in-hospital mortality. The improper use of scales may lead to hastened decision-making, especially when there are strains on healthcare resources or time-constraints. Being aware of theses biases is essential to facilitate older adults' access to equitable decision-making regarding critical care. The aim is to help counteract assessments which may be abridged by time and organisational constraints.
Collapse
Affiliation(s)
- L Moïsi
- Department of Geriatrics, Hopital Saint-Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), Sorbonne Université, 75012, Paris, France.
- UVSQ, INSERM, Centre de Recherche en Epidémiologie Et Santé Des Populations, UMR 1018, Université Paris-Saclay, Université Paris-Sud, Villejuif, France.
- Département d'éthique, Faculté de Médecine, Sorbonne Université, Paris, France.
- Service de Gériatrie Aigue, Hopital St Antoine, 184 rue du Fbg St Antoine, 75012, Paris, France.
| | - J-C Mino
- UVSQ, INSERM, Centre de Recherche en Epidémiologie Et Santé Des Populations, UMR 1018, Université Paris-Saclay, Université Paris-Sud, Villejuif, France
- Département d'éthique, Faculté de Médecine, Sorbonne Université, Paris, France
| | - B Guidet
- Service de Réanimation Médicale, Hopital Saint-Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), 184 Rue du Faubourg Saint-Antoine, 75012, Paris, France
- INSERM, UMRS 1136, Institute Pierre Louis d'Épidémiologie Et de Santé Publique, 75013, Paris, France
| | - H Vallet
- Department of Geriatrics, Hopital Saint-Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), Sorbonne Université, 75012, Paris, France
- UMRS 1135, Centre d'immunologie Et de Maladies Infectieuses (CIMI), Institut National de La Santé Et de La Recherche Médicale (INSERM), Paris, France
| |
Collapse
|
23
|
He H, Liu M, Li L, Zheng Y, Nie Y, Xiao LD, Li Y, Tang S. The impact of frailty on short-term prognosis in discharged adult stroke patients: A multicenter prospective cohort study. Int J Nurs Stud 2024; 154:104735. [PMID: 38521005 DOI: 10.1016/j.ijnurstu.2024.104735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 01/02/2024] [Accepted: 02/24/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Frailty is commonly observed in stroke patients and it is associated with adverse outcomes. However, there remains a gap in longitudinal studies investigating the causal relationship between baseline frailty and short-term prognosis in discharged adult stroke patients. OBJECTIVE To examine the causal impact of frailty on non-elective readmission and major adverse cardiac and cerebral events, and investigate its associations with cognitive impairment and post-stroke disability. DESIGN A multicenter prospective cohort study. SETTING Two tertiary hospitals in Central and Northwest China. PARTICIPANTS 667 adult stroke patients in stroke units were included from January 2022 to June 2022. METHODS Baseline frailty was assessed by the Frailty Scale. Custom-designed questions were utilized to assess non-elective readmission and major adverse cardiac and cerebral events as primary outcomes. Cognitive impairment, assessed using the Mini-Mental State Examination Scale (MMSE), and post-stroke disability, measured with the Modified Rankin Scale (mRS), were considered secondary outcomes at a 3-month follow-up. The impact of baseline frailty on non-elective readmission and major adverse cardiac and cerebral events was examined using bivariate and multiple Cox regression analyses. Furthermore, associations between baseline frailty and cognitive impairment, or post-stroke disability, were investigated through generalized linear models. RESULTS A total of 5 participants died, 12 had major adverse cardiac and cerebral events, and 57 had non-selective readmission among 667 adult stroke patients. Frailty was an independent risk factor for non-selective readmission (hazard ratio [HR]: 2.71, 95 % confidence interval [CI]: 1.59, 4.62) and major adverse cardiac and cerebral events (HR: 3.77, 95 % CI: 1.07, 13.22) for stroke patients. Baseline frailty was correlated with cognitive impairment (regression coefficient [β]: -2.68, 95 % CI: -3.78, -1.58) adjusting for socio-demographic and clinical factors and follow-up interval. However, the relationship between frailty and cognitive impairment did not reach statistical significance when further adjusting for baseline MMSE (β: -0.39, 95 % CI: -1.43, 0.64). Moreover, baseline frailty was associated with post-stroke disability (β: 0.36, 95 % CI: 0.08, 0.65) adjusting for socio-demographic and clinical variables, follow-up interval, and baseline mRS. CONCLUSIONS The finding highlights the importance of assessing baseline frailty in discharged adult stroke patients, as it is significantly associated with non-elective readmission, major adverse cardiac and cerebral events, and post-stroke disability at 3 months. These results highlight the crucial role of screening and evaluating frailty status in improving short-term prognosis for adult stroke patients. Interventions should be developed to address baseline frailty and mitigate the short-term prognosis of stroke. TWEETABLE ABSTRACT Baseline frailty predicts non-elective readmission, major adverse cardiac and cerebral events, and post-stroke disability in adult stroke patients. @haiyanhexyyy.
Collapse
Affiliation(s)
- Haiyan He
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, China; Xiangya School of Nursing, Central South University, Changsha, Hunan, China; International Medical Centre, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Minhui Liu
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China.
| | - Li Li
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yueping Zheng
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yuqin Nie
- Department of Nursing, the Second Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Lily Dongxia Xiao
- College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.
| | - Yinglan Li
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, China; Xiangya School of Nursing, Central South University, Changsha, Hunan, China.
| | - Siyuan Tang
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China.
| |
Collapse
|
24
|
Elhadjene N, Maillard N, Falandry C, Morel J. Baseline functional status impairment as a factor predictive of a poor benefit of ICU admission in patients aged over 80 years with severe acute respiratory syndrome coronavirus 2 infection: The frailty-ICU-elderly-COVID (FRICE-CoV) study. EUROPEAN JOURNAL OF ANAESTHESIOLOGY AND INTENSIVE CARE 2024; 3:e0052. [PMID: 39916818 PMCID: PMC11798403 DOI: 10.1097/ea9.0000000000000052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 04/03/2024] [Indexed: 02/09/2025]
Affiliation(s)
- Nory Elhadjene
- From the Département Anesthésie-Réanimation, Centre Hospitalier Universitaire de Saint-Etienne (NE, JM), Université de Lyon, UJM-Saint-Etienne, Laboratoire Interuniversitaire de Biologie de la Motricité, EA 7424, F-42023 (NE, JM), Service de Néphrologie, Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne (NM), Hospices Civils de Lyon, Service de Gériatrie, Centre Hospitalier Lyon Sud (CF) and Université de Lyon, Laboratoire CarMeN, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, Pierre-Bénite, France (CF)
| | - Nicolas Maillard
- From the Département Anesthésie-Réanimation, Centre Hospitalier Universitaire de Saint-Etienne (NE, JM), Université de Lyon, UJM-Saint-Etienne, Laboratoire Interuniversitaire de Biologie de la Motricité, EA 7424, F-42023 (NE, JM), Service de Néphrologie, Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne (NM), Hospices Civils de Lyon, Service de Gériatrie, Centre Hospitalier Lyon Sud (CF) and Université de Lyon, Laboratoire CarMeN, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, Pierre-Bénite, France (CF)
| | - Claire Falandry
- From the Département Anesthésie-Réanimation, Centre Hospitalier Universitaire de Saint-Etienne (NE, JM), Université de Lyon, UJM-Saint-Etienne, Laboratoire Interuniversitaire de Biologie de la Motricité, EA 7424, F-42023 (NE, JM), Service de Néphrologie, Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne (NM), Hospices Civils de Lyon, Service de Gériatrie, Centre Hospitalier Lyon Sud (CF) and Université de Lyon, Laboratoire CarMeN, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, Pierre-Bénite, France (CF)
| | - Jerome Morel
- From the Département Anesthésie-Réanimation, Centre Hospitalier Universitaire de Saint-Etienne (NE, JM), Université de Lyon, UJM-Saint-Etienne, Laboratoire Interuniversitaire de Biologie de la Motricité, EA 7424, F-42023 (NE, JM), Service de Néphrologie, Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne (NM), Hospices Civils de Lyon, Service de Gériatrie, Centre Hospitalier Lyon Sud (CF) and Université de Lyon, Laboratoire CarMeN, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, Pierre-Bénite, France (CF)
| |
Collapse
|
25
|
Vincent JL. Ethical issues surrounding appropriate care for older persons in the Intensive Care Unit. Panminerva Med 2024; 66:146-154. [PMID: 38536008 DOI: 10.23736/s0031-0808.24.05089-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
Increasing numbers of older patients are being admitted to the Intensive Care Unit (ICU) as the world's population ages. The biological process of ageing, senescence, results in altered ability to maintain normal homeostasis and organ function, including of the cardiovascular, immune, and neuromuscular systems. This contributes towards increased frailty in older patients, associated with functional limitations and increased vulnerability. Although widely defined using chronological age, the concept of "old age" is thus multifactorial, including biological, but also psychological and sociocultural aspects, which should all be taken into account when considering what is appropriate in terms of ICU admission and management. As for all patients, but perhaps particularly in this subgroup, decisions regarding ICU admission and treatment and the withdrawing and withholding of life support must be individualized.
Collapse
Affiliation(s)
- Jean-Louis Vincent
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Brussels, Belgium -
| |
Collapse
|
26
|
Jacobs JM, Rahamim A, Beil M, Guidet B, Vallet H, Flaatten H, Leaver SK, de Lange D, Szczeklik W, Jung C, Sviri S. Critical care beyond organ support: the importance of geriatric rehabilitation. Ann Intensive Care 2024; 14:71. [PMID: 38727919 PMCID: PMC11087448 DOI: 10.1186/s13613-024-01306-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024] Open
Abstract
Very old critically ill patients pose a growing challenge for intensive care. Critical illness and the burden of treatment in the intensive care unit (ICU) can lead to a long-lasting decline of functional and cognitive abilities, especially in very old patients. Multi-complexity and increased vulnerability to stress in these patients may lead to new and worsening disabilities, requiring careful assessment, prevention and rehabilitation. The potential for rehabilitation, which is crucial for optimal functional outcomes, requires a systematic, multi-disciplinary approach and careful long-term planning during and following ICU care. We describe this process and provide recommendations and checklists for comprehensive and timely assessments in the context of transitioning patients from ICU to post-ICU and acute hospital care, and review the barriers to the provision of good functional outcomes.
Collapse
Affiliation(s)
- Jeremy M Jacobs
- Department of Geriatric Rehabilitation and the Center for Palliative Care. Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ana Rahamim
- Geriatric Unit, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Michael Beil
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Bertrand Guidet
- Assistance Publique - Hôpitaux de Paris, Hôpital Saint-Antoine, Service de Réanimation Médicale, Paris, France
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France
| | - Helene Vallet
- Department of Geriatrics, Centre d'immunologie et de Maladies Infectieuses (CIMI), Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS 1135, Saint Antoine, Assistance Publique Hôpitaux de Paris,, Sorbonne Université, Paris, France
| | - Hans Flaatten
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Research and Development, Haukeland University Hospital, Bergen, Norway
| | - Susannah K Leaver
- General Intensive Care, Department of Critical Care Medicine, St George's NHS Foundation Trust, London, UK
| | - Dylan de Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Wojciech Szczeklik
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Christian Jung
- Department of Cardiology, Pulmonology and Vascular Medicine, Faculty of Medicine, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Sigal Sviri
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| |
Collapse
|
27
|
Wang B, Su Y, Ma C, Xu L, Mao Q, Cheng W, Lu Q, Zhang Y, Wang R, Lu Y, He J, Chen S, Chen L, Li T, Gao L. Impact of perioperative low-molecular-weight heparin therapy on clinical events of elderly patients with prior coronary stents implanted > 12 months undergoing non-cardiac surgery: a randomized, placebo-controlled trial. BMC Med 2024; 22:171. [PMID: 38649992 PMCID: PMC11036782 DOI: 10.1186/s12916-024-03391-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 04/15/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Little is known about the safety and efficacy of discontinuing antiplatelet therapy via LMWH bridging therapy in elderly patients with coronary stents implanted for > 12 months undergoing non-cardiac surgery. This randomized trial was designed to compare the clinical benefits and risks of antiplatelet drug discontinuation via LMWH bridging therapy. METHODS Patients were randomized 1:1 to receive subcutaneous injections of either dalteparin sodium or placebo. The primary efficacy endpoint was cardiac or cerebrovascular events. The primary safety endpoint was major bleeding. RESULTS Among 2476 randomized patients, the variables (sex, age, body mass index, comorbidities, medications, and procedural characteristics) and percutaneous coronary intervention information were not significantly different between the bridging and non-bridging groups. During the follow-up period, the rate of the combined endpoint in the bridging group was significantly lower than in the non-bridging group (5.79% vs. 8.42%, p = 0.012). The incidence of myocardial injury in the bridging group was significantly lower than in the non-bridging group (3.14% vs. 5.19%, p = 0.011). Deep vein thrombosis occurred more frequently in the non-bridging group (1.21% vs. 0.4%, p = 0.024), and there was a trend toward a higher rate of pulmonary embolism (0.32% vs. 0.08%, p = 0.177). There was no significant difference between the groups in the rates of acute myocardial infarction (0.81% vs. 1.38%), cardiac death (0.24% vs. 0.41%), stroke (0.16% vs. 0.24%), or major bleeding (1.22% vs. 1.45%). Multivariable analysis showed that LMWH bridging, creatinine clearance < 30 mL/min, preoperative hemoglobin < 10 g/dL, and diabetes mellitus were independent predictors of ischemic events. LMWH bridging and a preoperative platelet count of < 70 × 109/L were independent predictors of minor bleeding events. CONCLUSIONS This study showed the safety and efficacy of perioperative LMWH bridging therapy in elderly patients with coronary stents implanted > 12 months undergoing non-cardiac surgery. An alternative approach might be the use of bridging therapy with half-dose LMWH. TRIAL REGISTRATION ISRCTN65203415.
Collapse
Affiliation(s)
- Bin Wang
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yanhui Su
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Cong Ma
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Lining Xu
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Qunxia Mao
- National Research Institute for Family Planning, Beijing, China
| | - Wenjia Cheng
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Qingming Lu
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Ying Zhang
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Rong Wang
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yan Lu
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Jing He
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Shihao Chen
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Lei Chen
- Department of Thoracic Surgery of The First Medical Center, General Hospital of Chinese People's Liberation Army, Beijing, 100853, China.
| | - Tianzhi Li
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Linggen Gao
- Department of Comprehensive Surgery, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| |
Collapse
|
28
|
Cecconi M, Leaver S, Jung C. Caring for frail patients in the ICU: a multidimensional approach. Intensive Care Med 2024; 50:583-586. [PMID: 38498165 DOI: 10.1007/s00134-024-07364-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 02/16/2024] [Indexed: 03/20/2024]
Affiliation(s)
- Maurizio Cecconi
- Department of Biomedical Sciences, Humanitas University, Via Levi Montalcini, Pieve Emanuele, MI, Italy.
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
| | - Susannah Leaver
- Critical Care Directorate, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Christian Jung
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Dusseldorf, Dusseldorf, Germany
- CARID (Cardiovascular Research Institute Düsseldorf), Dusseldorf, Germany
| |
Collapse
|
29
|
Hongo T, Yumoto T, Inaba M, Taito S, Yorifuji T, Nakao A, Naito H. Long-term, patient-centered, frailty-based outcomes of older critical illness survivors from the emergency department: a post hoc analysis of the LIFE Study. BMC Geriatr 2024; 24:257. [PMID: 38491464 PMCID: PMC10941380 DOI: 10.1186/s12877-024-04881-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 03/08/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Evidence indicates frailty before intensive care unit (ICU) admission leads to poor outcomes. However, it is unclear whether quality of life (QOL) and activities of daily living (ADL) for survivors of critical illness admitted to the ICU via the emergency department remain consistent or deteriorate in the long-term compared to baseline. This study aimed to evaluate long-term QOL/ADL outcomes in these patients, categorized by the presence or absence of frailty according to Clinical Frailty Scale (CFS) score, as well as explore factors that influence these outcomes. METHODS This was a post-hoc analysis of a prospective, multicenter, observational study conducted across Japan. It included survivors aged 65 years or older who were admitted to the ICU through the emergency department. Based on CFS scores, participants were categorized into either the not frail group or the frail group, using a threshold CFS score of < 4. Our primary outcome was patient-centered outcomes (QOL/ADL) measured by the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) and the Barthel Index six months post-ICU admission, comparing results from baseline. Secondary outcomes included exploration of factors associated with QOL/ADL six months post-ICU admission using multiple linear regression analyses. RESULTS Of 514 candidates, 390 participants responded to the EQ-5D-5L questionnaire, while 237 responded to the Barthel Index. At six months post-admission, mean EQ-5D-5L values declined in both the not frail and frail groups (0.80 to 0.73, p = 0.003 and 0.58 to 0.50, p = 0.002, respectively); Barthel Index scores also declined in both groups (98 to 83, p < 0.001 and 79 to 61, p < 0.001, respectively). Multiple linear regression analysis revealed that baseline frailty (β coefficient, -0.15; 95% CI, - 0.23 to - 0.07; p < 0.001) and pre-admission EQ-5D-5L scores (β coefficient, 0.14; 95% CI, 0.02 to 0.26; p = 0.016) affected EQ-5D-5L scores at six months. Similarly, baseline frailty (β coefficient, -12.3; 95% CI, - 23.9 to - 0.80; p = 0.036) and Barthel Index scores (β coefficient, 0.54; 95% CI, 0.30 to 0.79; p < 0.001) influenced the Barthel Index score at six months. CONCLUSIONS Regardless of frailty, older ICU survivors from the emergency department were more likely to experience reduced QOL and ADL six months after ICU admission compared to baseline.
Collapse
Affiliation(s)
- Takashi Hongo
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Tetsuya Yumoto
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
| | - Mototaka Inaba
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Shunsuke Taito
- Department of Clinical Practice and Support, Hiroshima University Hospital, 1-2-3 Minamiku Kasumi, Hiroshima, 734-0037, Japan
| | - Takashi Yorifuji
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Atsunori Nakao
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Hiromichi Naito
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| |
Collapse
|
30
|
Duncan CF, Lonsdale DO, Farrah H, Farnell-Ward S, Ryan C, Watson X, Cecconi M, Fjølner J, Szczeklik W, Moreno R, Artigas A, Joannidis M, de Lange DW, Guidet B, Flaatten H, Jung C, Leaver SK. 30-Day Mortality among Very Old Patients Admitted to European Intensive Care Units for Major Trauma. Gerontology 2024; 70:715-723. [PMID: 38387455 DOI: 10.1159/000537718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 02/05/2024] [Indexed: 02/24/2024] Open
Abstract
INTRODUCTION Cases of major trauma in the very old (over 80 years) are increasingly common in the intensive care unit (ICU). Predicting outcome is challenging in this group of patients as chronological age is a poor marker of health and poor predictor of outcome. Increasingly, decisions are guided by the use of organ dysfunction scores of both acute conditions (e.g., sequential organ failure assessment [SOFA] score) and chronic health issues (e.g., clinical frailty scale [CFS]). Recent work suggests that increased CFS is associated with a worse outcome in elderly major trauma patients. We aimed to test whether this association held true in the very old (over 80) or whether SOFA had a stronger association with 30-day outcome. METHODS Data from the very elderly intensive care patient (VIP)-1 and VIP-2 studies for patients over 80 years old with major trauma admissions were merged. These participants were recruited from 20 countries across Europe. Baseline characteristics, level of care provided, and outcome (ICU and 30-day mortality) were summarised. Uni- and multivariable regression analyses were undertaken to determine associations between CFS and SOFA score in the first 24 h, type of major trauma, and outcomes. RESULTS Of the 8,062 acute patients recruited to the two VIP studies, 498 patients were admitted to intensive care because of major trauma. Median age was 84 years, median SOFA score was 6 (IQR 3, 9), and median CFS was 3 (IQR 2, 5). Survival for 30 days was 54%. Median and interquartile range of CFS were the same for survivors and non-survivors. In the logistic regression analysis, CFS was not associated with increased mortality. SOFA score (p < 0.001) and trauma with head injury (p < 0.01) were associated with increased mortality. CONCLUSIONS Major trauma admissions in the very old are not uncommon, and 30-day mortality is high. We found that CFS was not a helpful predictor of mortality. SOFA and trauma with head injury were associated with worse outcomes in this patient group.
Collapse
Affiliation(s)
- Chris F Duncan
- Department of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Dagan O Lonsdale
- Department of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK
- Department of Clinical Pharmacology, University of London, London, UK
| | - Helen Farrah
- Department of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Sarah Farnell-Ward
- Department of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Christine Ryan
- Department of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Ximena Watson
- Department of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Maurizio Cecconi
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Anesthesia and Intensive Care, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Jesper Fjølner
- Department of Anaesthesia and Intensive Care, Viborg Regional Hospital, Vyborg, Denmark
| | - Wojciech Szczeklik
- Intensive Care and Perioperative Medicine Division, Jagiellonian University Medical College, Krakow, Poland
| | - Rui Moreno
- Hospital de São José, Centro Hospitalar Universitário de Lisboa Central, Faculdade de Ciências Médicas de Lisboa, Nova Médical School, Lisbon, Portugal
- Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| | - Antonio Artigas
- Department of Intensive Care Medicine, Parc Tauli University Hospital, Institut d'Investigació I innovació Parc tauli (I3PT), Autonomous University of Barcelona, Sabadell, Spain
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Dylan W de Lange
- Department of Intensive Care Medicine, Dutch Poisons Information Center (DPIC), University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Bertrand Guidet
- Sorbonne Université, INSERM, Institut Pierre Louis D'Epidémiologie Et de Santé Publique, Saint Antoine Hospital, AP-HP, Hôpital Saint-Antoine, Service de Réanimation, Paris, France
| | - Hans Flaatten
- Department of Anaesthesia and Intensive Care, Department of Clinical Medicine, Haukeland University Hospital Bergen, Department of Anaesthesia and Intensive Care and University of Bergen, Bergen, Norway
| | - Christian Jung
- Division of Cardiology, Pulmonology and Vascular Medicine, University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Susannah K Leaver
- Department of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK
| |
Collapse
|
31
|
Pasieka P, Surówka A, Fronczek J, Skwara E, Czuczwar M, Borys M, Krawczyk P, Ziętkiewicz M, Nowak ŁR, Żukowski M, Kotfis K, Cwyl K, Skowronek J, Solek-Pastuszka J, Biernawska J, Grudzień P, Nasiłowski P, Popek N, Cyrankiewicz W, Sierakowska K, Mudyna W, Białka S, Studzińska D, Bernas S, Piechota M, Machała W, Sadowski Ł, Stefaniak J, Owczuk R, Szymkowiak M, Gawda R, Kozera N, Adamik B, Goździk W, Wieczorek A, Janc J, Kluzik A, Trzebicki J, Zatorski P, Gola W, Hymczak H, Krzych LJ, Czajka S, Kościuczuk U, Kudliński B, Flaatten H, Szczeklik W. Prevalence of life-sustaining treatment limitations in Polish very old intensive care patients (VIPs). A post-hoc analysis of two prospective observational studies. J Crit Care 2024; 79:154439. [PMID: 37832351 DOI: 10.1016/j.jcrc.2023.154439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023]
Abstract
PURPOSE Several initiatives have recently focused on raising awareness about limitations of treatment in Poland. We aimed to assess if the propensity to limit LST among elderly patients in 2018-2019 increased compared to 2016-2017. METHODS We analysed Polish cohorts from studies VIP1 (October 2016 - May 2017) and VIP2 (May 2018 - May 2019) that enrolled critical patients aged >80. We collected data on demographics, clinical features limitations of LST. Primary analysis assessed factors associated with prevalence of limitations of LST, A secondary analysis explored differences between patients with and without limitations of LST. RESULTS 601 patients were enrolled. Prevalence of LST limitations was 16.1% in 2016-2017 and 20.5% in 2018-2019. No difference was found in univariate analysis (p = 0.22), multivariable model showed higher propensity towards limiting LST in the 2018-2019 cohort compared to 2016-2017 cohort (OR 1.07;95%CI, 1.01-1.14). There was higher mortality and a longer length of stay of patients with limitations of LST compared to the patients without limitations of LST. (11 vs. 6 days, p = 0.001). CONCLUSIONS The clinicians in Poland have become more proactive in limiting LST in critically ill patients ≥80 years old over the studied period, however the prevalence of limitations of LST in Poland remains low.
Collapse
Affiliation(s)
- Paweł Pasieka
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland.
| | - Anna Surówka
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Jakub Fronczek
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Evan Skwara
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Mirosław Czuczwar
- 2nd Department of Anaesthesiology and Intensive Care Medical University of Lublin, Poland
| | - Michał Borys
- 2nd Department of Anaesthesiology and Intensive Care Medical University of Lublin, Poland
| | - Paweł Krawczyk
- Department of Anaesthesiology and Intensive Care Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Mirosław Ziętkiewicz
- Department of Anaesthesiology and Intensive Care Medicine, Jagiellonian University Medical College, Kraków, Poland; 2nd Department of Anaesthesiology and Intensive Care, John Paul II Hospital in Kraków, Poland
| | - Łukasz R Nowak
- Department of Intensive Care and Anaesthesiology, 5(th) Military Clinical Hospital in Kraków, Poland
| | - Maciej Żukowski
- Department of Anaesthesiology, Intensive Therapy and Acute Intoxications, Pomeranian Medical University in Szczecin, Poland
| | - Katarzyna Kotfis
- Department of Anaesthesiology, Intensive Therapy and Acute Intoxications, Pomeranian Medical University in Szczecin, Poland
| | - Katarzyna Cwyl
- Anesthesia and Intensive Care Unit, Regional Health Center in Lubin, Poland
| | - Jacek Skowronek
- St. Raphael Hospital, Department of Anaesthesiology and Intensive Care, Kraków, Poland
| | - Joanna Solek-Pastuszka
- Department of Clinical Anesthesiology and Intensive Therapy PUM, Pomeranian Medical University SPSK 1, Szczecin, Poland
| | - Jowita Biernawska
- Department of Clinical Anesthesiology and Intensive Therapy PUM, Pomeranian Medical University SPSK 1, Szczecin, Poland
| | - Paweł Grudzień
- Department of Anaesthesiology and Intensive Therapy, E. Szczeklik Specialist Hospital in Tarnów, Poland
| | - Paweł Nasiłowski
- Department of Anaesthesiology and Intensive Therapy, G. Narutowicz Specialist Hospital in Kraków, Poland; Department of Anaesthesiology and Intensive Care, St Ann Hospital in Miechów, Poland
| | - Natalia Popek
- Department of Anaesthesiology and Intensive Therapy, S. Żeromski Specialist Hospital in Kraków, Poland
| | - Waldemar Cyrankiewicz
- Department of Anaesthesiology and Intensive Therapy, Antoni Jurasz University Hospital No. 1, Bydgoszcz, Poland
| | - Katarzyna Sierakowska
- Department of Anaesthesiology and Intensive Therapy, Antoni Jurasz University Hospital No. 1, Bydgoszcz, Poland; Department of Anaesthesiology and Intensive Therapy, Nicolaus Copernicus University Ludwik Rydygier Collegium Medicum, Bydgoszcz, Poland
| | - Wojciech Mudyna
- Department of Anaesthesiology and Intensive Therapy, Ludwik Rydygier Memorial Specialized Hospital in Kraków, Poland
| | - Szymon Białka
- Department of Anaesthesiology and Critical Care, School of Medicine with Division of Dentistry in Zabrze, Medical University of Silesia, Zabrze, Poland
| | - Dorota Studzińska
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland; Department of Anaesthesiology and Intensive Care, St John Grande Hospital in Kraków, Poland
| | - Szymon Bernas
- Department of Anaesthesiology and Intensive Therapy - Centre for Artificial Extracorporeal Kidney and Liver Support, The Dr Wł. Biegański Regional Specialist Hospital in Lodz, Poland
| | - Mariusz Piechota
- Department of Anaesthesiology and Intensive Therapy - Centre for Artificial Extracorporeal Kidney and Liver Support, The Dr Wł. Biegański Regional Specialist Hospital in Lodz, Poland
| | - Waldemar Machała
- Department of Anaesthesiology and Intensive Therapy, Central Teaching Hospital of the Medical University of Lodz, Poland
| | - Łukasz Sadowski
- Department of Anaesthesiology and Intensive Therapy, Central Teaching Hospital of the Medical University of Lodz, Poland
| | - Jan Stefaniak
- Department of Anaesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdańsk, Poland
| | - Radosław Owczuk
- Department of Anaesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdańsk, Poland
| | - Małgorzata Szymkowiak
- Department of Anaesthesiology and Intensive Care, Provincial Hospital in Poznań, Poland
| | - Ryszard Gawda
- Department of Anesthesiology and Intensive Care, Institute of Medical Sciences, University of Opole, Poland
| | - Natalia Kozera
- Department of Anaesthesiology and Intensive Therapy, Wroclaw University Hospital, Wrocław Medical University, Wrocław, Poland
| | - Barbara Adamik
- Clinical Department of Anesthesiology and Intensive Therapy, Wroclaw Medical University, Poland
| | - Waldemar Goździk
- Clinical Department of Anesthesiology and Intensive Therapy, Wroclaw Medical University, Poland
| | - Agnieszka Wieczorek
- Anaesthesia and Intensive Care Unit, 4(th) Military Hospital in Wrocław, Poland
| | - Jarosław Janc
- Anaesthesia and Intensive Care Unit, 4(th) Military Hospital in Wrocław, Poland
| | - Anna Kluzik
- Department of Anaesthesiology, Intensive Therapy and Pain Treatment, Poznan University of Medical Sciences, Poznan, Poland; Department of Teaching Anaesthesiology and Intensive Therapy, Poznan University of Medical Sciences, Poznan, Poland
| | - Janusz Trzebicki
- University Clinical Center of the Medical University of Warsaw - Infant Jesus Clinical Hospital, I Department of Anaesthesiology and Intensive Care, Warsaw, Poland
| | - Paweł Zatorski
- University Clinical Center of the Medical University of Warsaw - Infant Jesus Clinical Hospital, I Department of Anaesthesiology and Intensive Care, Warsaw, Poland
| | - Wojciech Gola
- Faculty of Medicine and Health Sciences, Jan Kochanowski University, Kielce, Poland
| | - Hubert Hymczak
- 1st Depratment of Department of Anaesthesiology and Intensive Care, John Paul II Hospital in Kraków, Poland; Faculty of Medicine and Health Sciences, Andrzej Frycz Modrzewski Kraków University, Kraków, Poland
| | - Lukasz J Krzych
- Department of Anaesthesiology and Intensive Care, University Clinical Center, School of Medicine in Katowice - Medical University of Silesia, Poland
| | - Szymon Czajka
- Department of Anaesthesiology and Intensive Care, University Clinical Center, School of Medicine in Katowice - Medical University of Silesia, Poland
| | - Urszula Kościuczuk
- Department of Anaesthesiology and Intensive Therapy, Medical Unibersity of Białystok, Poland
| | - Bartosz Kudliński
- Clinical Department of Anaesthesiology and Intensive Care, University Hospital in Zielona Góra, Poland
| | - Hans Flaatten
- Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Norway
| | - Wojciech Szczeklik
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland
| |
Collapse
|
32
|
Guidet B, Vallet H, Flaatten H, Joynt G, Bagshaw SM, Leaver SK, Beil M, Du B, Forte DN, Angus DC, Sviri S, de Lange D, Herridge MS, Jung C. The trajectory of very old critically ill patients. Intensive Care Med 2024; 50:181-194. [PMID: 38236292 DOI: 10.1007/s00134-023-07298-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 11/27/2023] [Indexed: 01/19/2024]
Abstract
The demographic shift, together with financial constraint, justify a re-evaluation of the trajectory of care of very old critically ill patients (VIP), defined as older than 80 years. We must avoid over- as well as under-utilisation of critical care interventions in this patient group and ensure the inclusion of health care professionals, the patient and their caregivers in the decision process. This new integrative approach mobilises expertise at each step of the process beginning prior to intensive care unit (ICU) admission and extending to long-term follow-up. In this review, several international experts have contributed to provide recommendations that can be universally applied. Our aim is to define a minimum core dataset of information to be shared and discussed prior to ICU admission and to facilitate the shared-decision-making process with the patient and their caregivers, throughout the patient journey. Documentation of uncertainty may contribute to a tailored level of care and ultimately to discussions around possible limitations of life sustaining treatments. The goal of ICU care is not only to avoid death, but more importantly to maintain an acceptable quality of life and functional autonomy after hospital discharge. Societal consideration is important to highlight, together with alternatives to ICU admission. We discuss challenges for the future and potential areas of research. In summary, this review provides a state-of-the-art current overview and aims to outline future directions to address the challenges in the treatment of VIP.
Collapse
Affiliation(s)
- Bertrand Guidet
- Medical ICU, Assistance Publique, Hôpitaux de Paris, Hôpital Saint-Antoine, Service de Réanimation Médicale, 75012, Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, 75013, Paris, France.
| | - Helene Vallet
- Department of Geriatrics, Sorbonne Université, Institut National de la Santé Et de la Recherche Médicale (INSERM), UMRS 1135, Centre d'immunologie et de Maladies Infectieuses (CIMI), Saint Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), 75012, Paris, France
| | - Hans Flaatten
- Department of Clinical Medicine, Haukeland University Hospital, University of Bergen, Department of Research and Development, Haukeland University Hospital, Bergen, Norway
| | - Gavin Joynt
- Department of Anaesthesia and Intensive Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada
| | | | - Michael Beil
- Department of Medical Intensive Care, Faculty of Medicine, Hebrew University and Hadassah University Medical Center, Jerusalem, Israel
| | - Bin Du
- Medical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Daniel N Forte
- Departament of Emergency Medicine, Faculdade de Medicina, Universidade de São Paulo, Hospital Sírio-Libanês, São Paulo, Brazil
| | - Derek C Angus
- Critical Care Medicine, UPMC and University of Pittsburgh, Pittsburgh, USA
| | - Sigal Sviri
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dylan de Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Margaret S Herridge
- Interdepartmental Division of Critical Care Medicine, Critical Care and Respiratory Medicine, University Health Network, Toronto General Research Institute, Institute of Medical Sciences, University of Toronto, Toronto, Canada
| | - Christian Jung
- Department of Cardiology, Pulmonology and Angiology, University Hospital, Düsseldorf, Germany
| |
Collapse
|
33
|
Ibarz M, Haas LEM, Ceccato A, Artigas A. The critically ill older patient with sepsis: a narrative review. Ann Intensive Care 2024; 14:6. [PMID: 38200360 PMCID: PMC10781658 DOI: 10.1186/s13613-023-01233-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
Sepsis is a significant public health concern, particularly affecting individuals above 70 years in developed countries. This is a crucial fact due to the increasing aging population, their heightened vulnerability to sepsis, and the associated high mortality rates. However, the morbidity and long-term outcomes are even more notable. While many patients respond well to timely and appropriate interventions, it is imperative to enhance efforts in identifying, documenting, preventing, and treating sepsis. Managing sepsis in older patients poses greater challenges and necessitates a comprehensive understanding of predisposing factors and a heightened suspicion for diagnosing infections and assessing the risk of sudden deterioration into sepsis. Despite age often being considered an independent risk factor for mortality and morbidity, recent research emphasizes the pivotal roles of frailty, disease severity, and comorbid conditions in influencing health outcomes. In addition, it is important to inquire about the patient's preferences and establish a personalized treatment plan that considers their potential for recovery with quality of life and functional outcomes. This review provides a summary of the most crucial aspects to consider when dealing with an old critically ill patient with sepsis.
Collapse
Affiliation(s)
- Mercedes Ibarz
- Department of Intensive Care Medicine, Hospital Universitari Sagrat Cor, Quirón Salud, Viladomat 288, 08029, Barcelona, Spain.
| | - Lenneke E M Haas
- Department of Intensive Care Medicine, Diakonessenhuis Utrecht, Utrecht, the Netherlands
| | - Adrián Ceccato
- Department of Intensive Care Medicine, Hospital Universitari Sagrat Cor, Quirón Salud, Viladomat 288, 08029, Barcelona, Spain
- Department of Intensive Care Medicine, CIBER Enfermedades Respiratorias, Corporación Sanitaria Universitaria Parc Tauli, Autonomous University of Barcelona, Sabadell, Spain
| | - Antonio Artigas
- Department of Intensive Care Medicine, CIBER Enfermedades Respiratorias, Corporación Sanitaria Universitaria Parc Tauli, Autonomous University of Barcelona, Sabadell, Spain
- Institut d'investigació i innovació Parc Tauli (I3PT-CERCA), Sabadell, Spain
| |
Collapse
|
34
|
Cecconi M, Spies CD, Moreno R. Economic sustainability of intensive care in Europe. Intensive Care Med 2024; 50:136-140. [PMID: 38054995 DOI: 10.1007/s00134-023-07268-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 11/03/2023] [Indexed: 12/07/2023]
Affiliation(s)
- Maurizio Cecconi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy.
- IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy.
| | - Claudia D Spies
- Department of Anesthesiology and Intensive Care Medicine (CCM/CVK), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Rui Moreno
- Faculdade de Ciências Médicas de Lisboa (Nova Medical School), Hospital de São José, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal
- Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| |
Collapse
|
35
|
Pasieka PM, Kurek M, Skupnik W, Skwara E, Bezshapkin V, Fronczek J, Kluzik A, Kudliński B, Białka S, Studzińska D, Krzych ŁJ, Czajka S, Stefaniak J, Owczuk R, Sołek-Pastuszka J, Biernawska J, Zorska J, Krawczyk P, Cwyl K, Żukowski M, Kotfis K, Zegan-Barańska M, Wieczorek A, Mudyna W, Piechota M, Bernas S, Machała W, Sadowski Ł, Serwa M, Czuczwar M, Borys M, Ziętkiewicz M, Kozera N, Adamik B, Goździk W, Nasiłowski P, Zatorski P, Trzebicki J, Gałkin P, Gawda R, Kościuczuk U, Cyrankiewicz W, Sierakowska K, Gola W, Hymczak H, Flaatten H, Szczeklik W. Predictors of outcomes of patients ≥ 80 years old admitted to intensive care units in Poland - a post-hoc analysis of the VIP2 prospective observational study. Anaesthesiol Intensive Ther 2024; 56:61-69. [PMID: 38741445 PMCID: PMC11022638 DOI: 10.5114/ait.2024.138192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 01/24/2024] [Indexed: 05/16/2024] Open
Abstract
INTRODUCTION Elderly patients pose a significant challenge to intensive care unit (ICU) clinicians. In this study we attempted to characterise the population of patients over 80 years old admitted to ICUs in Poland and identify associations between clinical features and short-term outcomes. MATERIAL AND METHODS The study is a post-hoc analysis of the Polish cohort of the VIP2 European prospective observational study enrolling patients > 80 years old admitted to ICUs over a 6-month period. Data including clinical features, clinical frailty scale (CFS), geriatric scales, interventions within the ICU, and outcomes (30-day and ICU mortality and length of stay) were gathered. Univariate analyses comparing frail (CFS > 4) to non-frail patients and survivors to non-survivors were performed. Multivariable models with CFS, activities of daily living score (ADL), and the cognitive decline questionnaire IQCODE as predictors and ICU or 30-day mortality as outcomes were formed. RESULTS A total of 371 patients from 27 ICUs were enrolled. Frail patients had significantly higher ICU (58% vs. 44.45%, P = 0.03) and 30-day (65.61% vs. 54.14%, P = 0.01) mortality compared to non-frail counterparts. The survivors had significantly lower SOFA score, CFS, ADL, and IQCODE than non-survivors. In multivariable analysis CFS (OR 1.15, 95% CI: 1.00-1.34) and SOFA score (OR 1.29, 95% CI: 1.19-1.41) were identified as significant predictors for ICU mortality; however, CFS was not a predictor for 30-day mortality ( P = 0.07). No statistical significance was found for ADL, IQCODE, polypharmacy, or comorbidities. CONCLUSIONS We found a positive correlation between CFS and ICU mortality, which might point to the value of assessing the score for every patient admitted to the ICU. The older Polish ICU patients were characterised by higher mortality compared to the other European countries.
Collapse
Affiliation(s)
- Paweł Melchior Pasieka
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Michał Kurek
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Wojciech Skupnik
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Evan Skwara
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Valentyn Bezshapkin
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Jakub Fronczek
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Anna Kluzik
- Department of Anaesthesiology, Intensive Therapy and Pain Treatment, Poznan University of Medical Sciences, Poznan, Poland
- Department of Teaching Anaesthesiology and Intensive Therapy, Poznan University of Medical Sciences, Poznan, Poland
| | - Bartosz Kudliński
- Clinical Department of Anaesthesiology and Intensive Care, University Hospital in Zielona Gora, Poland
| | - Szymon Białka
- Department of Anaesthesiology and Critical Care, School of Medicine with Division of Dentistry in Zabrze, Medical University of Silesia, Zabrze, Poland
| | - Dorota Studzińska
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
- Department of Anaesthesiology and Intensive Care, St. John Grande Hospital in Krakow, Poland
| | - Łukasz J. Krzych
- Department of Anaesthesiology and Intensive Care, University Clinical Centre, School of Medicine in Katowice – Medical University of Silesia, Katowice, Poland
| | - Szymon Czajka
- Department of Anaesthesiology and Intensive Care, University Clinical Centre, School of Medicine in Katowice – Medical University of Silesia, Katowice, Poland
| | - Jan Stefaniak
- Department of Anaesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdansk, Poland
| | - Radosław Owczuk
- Department of Anaesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdansk, Poland
| | - Joanna Sołek-Pastuszka
- Department of Clinical Anaesthesiology and Intensive Therapy, Pomeranian Medical University SPSK 1, Szczecin, Poland
| | - Jowita Biernawska
- Department of Clinical Anaesthesiology and Intensive Therapy, Pomeranian Medical University SPSK 1, Szczecin, Poland
| | - Joanna Zorska
- Department of Anaesthesiology and Intensive Care Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Paweł Krawczyk
- Department of Anaesthesiology and Intensive Care Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Katarzyna Cwyl
- Anesthesia and Intensive Care Unit, Regional Health Centre in Lublin, Poland
| | - Maciej Żukowski
- Department of Anaesthesiology, Intensive Therapy and Acute Intoxications, Pomeranian Medical University in Szczecin, Poland
| | - Katarzyna Kotfis
- Department of Anaesthesiology, Intensive Therapy and Acute Intoxications, Pomeranian Medical University in Szczecin, Poland
| | - Małgorzata Zegan-Barańska
- Department of Anaesthesiology, Intensive Therapy and Acute Intoxications, Pomeranian Medical University in Szczecin, Poland
| | | | - Wojciech Mudyna
- Department of Anaesthesiology and Intensive Therapy, Ludwik Rydygier Memorial Specialist Hospital in Krakow, Poland
| | - Mariusz Piechota
- Department of Anaesthesiology and Intensive Therapy – Centre for Artificial Extracorporeal Kidney and Liver Support, Lodz, Poland
| | - Szymon Bernas
- Department of Anaesthesiology and Intensive Therapy – Centre for Artificial Extracorporeal Kidney and Liver Support, Lodz, Poland
| | - Waldemar Machała
- Department of Anaesthesiology and Intensive Therapy, Central Teaching Hospital of the Medical University of Lodz, Poland
| | - Łukasz Sadowski
- Department of Anaesthesiology and Intensive Therapy, Central Teaching Hospital of the Medical University of Lodz, Poland
| | - Marta Serwa
- Department of Anaesthesiology and Intensive Therapy, Central Teaching Hospital of the Medical University of Lodz, Poland
| | - Mirosław Czuczwar
- 2 Department of Anaesthesiology and Intensive Care, Medical University of Lublin, Poland
| | - Michał Borys
- 2 Department of Anaesthesiology and Intensive Care, Medical University of Lublin, Poland
| | - Mirosław Ziętkiewicz
- Department of Anaesthesiology and Intensive Care Medicine, Jagiellonian University Medical College, Krakow, Poland
- 2 Department of Anaesthesiology and Intensive Care, John Paul II Hospital in Krakow, Poland
| | - Natalia Kozera
- Department of Anaesthesiology and Intensive Therapy, Wroclaw University Hospital, Wroclaw Medical University, Wroclaw, Poland
| | - Barbara Adamik
- Clinical Department of Anaesthesiology and Intensive Therapy, Wroclaw Medical University, Wroclaw, Poland
| | - Waldemar Goździk
- Clinical Department of Anaesthesiology and Intensive Therapy, Wroclaw Medical University, Wroclaw, Poland
| | - Paweł Nasiłowski
- Department of Anaesthesiology and Intensive Therapy, G. Narutowicz Specialist Hospital in Krakow, Poland
- Department of Anaesthesiology and Intensive Care, St. Ann Hospital in Miechow, Poland
| | - Paweł Zatorski
- I Department of Anaesthesiology and Intensive Care, University Clinical Center of the Medical University of Warsaw – Infant Jesus Clinical Hospital, Warsaw, Poland
| | - Janusz Trzebicki
- I Department of Anaesthesiology and Intensive Care, University Clinical Center of the Medical University of Warsaw – Infant Jesus Clinical Hospital, Warsaw, Poland
| | - Piotr Gałkin
- Department of Anaesthesiology and Intensive Care, Regional Hospital in Bialystok, Poland
| | - Ryszard Gawda
- Department of Anaesthesiology and Intensive Care, Institute of Medical Sciences, University of Opole, Poland
| | - Urszula Kościuczuk
- Department of Anaesthesiology and Intensive Care, Medical University of Bialystok, Poland
| | - Waldemar Cyrankiewicz
- Department of Anaesthesiology and Intensive Therapy, Antoni Jurasz University Hospital No. 1, Bydgoszcz, Poland
| | - Katarzyna Sierakowska
- Department of Anaesthesiology and Intensive Therapy, Antoni Jurasz University Hospital No. 1, Bydgoszcz, Poland
- Department of Anaesthesiology and Intensive Therapy, Nicolaus Copernicus University Ludwik Rydygier Collegium Medicum, Bydgoszcz, Poland
| | - Wojciech Gola
- Faculty of Medicine and Health Sciences, Jan Kochanowski University, Kielce, Poland
| | - Hubert Hymczak
- 1 Department of Anaesthesiology and Intensive Care, John Paul II Hospital in Krakow, Poland
- Faculty of Medicine and Health Sciences, Andrzej Frycz Modrzewski Krakow University, Krakow, Poland
| | - Hans Flaatten
- Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway
| | - Wojciech Szczeklik
- Centre for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| |
Collapse
|
36
|
Sert ET, Kokulu K, Mutlu H, Yortanlı BC. Effects of Clinical Frailty Scale Score on Adverse Outcomes and Length of Emergency Department Stay Before Intensive Care Unit Admission. J Emerg Med 2024; 66:e10-e19. [PMID: 37919186 DOI: 10.1016/j.jemermed.2023.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 08/18/2023] [Accepted: 08/31/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Older adults living with frailty who require treatment in hospitals are increasingly seen in emergency departments (EDs). OBJECTIVE This study investigated the effects of frailty severity according to the Clinical Frailty Scale (CFS) on adverse outcomes and length of stay in the ED before intensive care unit (ICU) admission. METHODS We conducted this prospective observational study with patients 65 years or older and admitted to the ICU from March 1, 2021 to December 31, 2022. We divided the patients into four groups according to their CFS scores. We determined the effects of frailty severity on length of ED stay and clinical outcomes using logistic regression analysis. RESULTS Of the 920 patients included in the study, 25.4% were nonfrail, 26.2% had mild frailty, 25.9% had moderate frailty, and 22.5% had severe frailty. In the regression analysis, compared with those who were nonfrail, the length of ED stay was significantly longer for those with moderate frailty (odds ratio [OR] 2.13; 95% confidence interval [CI] 1.63-2.90) or severe frailty (OR 3.32; 95% CI 1.92-3.87), but the result was not significant for those with mild frailty (OR 1.65; 95% CI 1.21-2.45). ICU mortality was significantly higher among patients with mild, moderate, or severe frailty than among those who were nonfrail. CONCLUSIONS We found CFS score to be a predictor of length of ED stay and adverse outcomes. Accordingly, CFS evaluation can provide an idea of the length of ED stay and the likelihood of adverse outcomes.
Collapse
Affiliation(s)
- Ekrem Taha Sert
- Department of Emergency Medicine, Aksaray University Medical School, Aksaray, Turkey
| | - Kamil Kokulu
- Department of Emergency Medicine, Aksaray University Medical School, Aksaray, Turkey
| | - Hüseyin Mutlu
- Department of Emergency Medicine, Aksaray University Medical School, Aksaray, Turkey
| | | |
Collapse
|
37
|
Liu X, Shen M, Lie M, Zhang Z, Liu C, Li D, Mark RG, Zhang Z, Celi LA. Evaluating Prognostic Bias of Critical Illness Severity Scores Based on Age, Sex, and Primary Language in the United States: A Retrospective Multicenter Study. Crit Care Explor 2024; 6:e1033. [PMID: 38239408 PMCID: PMC10796141 DOI: 10.1097/cce.0000000000001033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2024] Open
Abstract
OBJECTIVES Although illness severity scoring systems are widely used to support clinical decision-making and assess ICU performance, their potential bias across different age, sex, and primary language groups has not been well-studied. DESIGN SETTING AND PATIENTS We aimed to identify potential bias of Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE) IVa scores via large ICU databases. SETTING/PATIENTS This multicenter, retrospective study was conducted using data from the Medical Information Mart for Intensive Care (MIMIC) and eICU Collaborative Research Database. SOFA and APACHE IVa scores were obtained from ICU admission. Hospital mortality was the primary outcome. Discrimination (area under receiver operating characteristic [AUROC] curve) and calibration (standardized mortality ratio [SMR]) were assessed for all subgroups. INTERVENTIONS Not applicable. MEASUREMENTS AND MAIN RESULTS A total of 196,310 patient encounters were studied. Discrimination for both scores was worse in older patients compared with younger patients and female patients rather than male patients. In MIMIC, discrimination of SOFA in non-English primary language speakers patients was worse than that of English speakers (AUROC 0.726 vs. 0.783, p < 0.0001). Evaluating calibration via SMR showed statistically significant underestimations of mortality when compared with overall cohort in the oldest patients for both SOFA and APACHE IVa, female patients (1.09) for SOFA, and non-English primary language patients (1.38) for SOFA in MIMIC. CONCLUSIONS Differences in discrimination and calibration of two scores across varying age, sex, and primary language groups suggest illness severity scores are prone to bias in mortality predictions. Caution must be taken when using them for quality benchmarking and decision-making among diverse real-world populations.
Collapse
Affiliation(s)
- Xiaoli Liu
- Center for Artificial Intelligence in Medicine, The General Hospital of PLA, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA
| | - Max Shen
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Margaret Lie
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Zhongheng Zhang
- Department of Emergency Medicine, Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chao Liu
- Department of Critical Care Medicine, The First Medical Center, The General Hospital of PLA, Beijing, China
| | - Deyu Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Roger G Mark
- Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA
| | - Zhengbo Zhang
- Center for Artificial Intelligence in Medicine, The General Hospital of PLA, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Leo Anthony Celi
- Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| |
Collapse
|
38
|
Schenk A, Kowark A, Berger M, Rossaint R, Schmid M, Coburn M. Pre-Interventional Risk Assessment in The Elderly (PIRATE): Development of a scoring system to predict 30-day mortality using data of the Peri-Interventional Outcome Study in the Elderly. PLoS One 2023; 18:e0294431. [PMID: 38127877 PMCID: PMC10734910 DOI: 10.1371/journal.pone.0294431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 11/01/2023] [Indexed: 12/23/2023] Open
Abstract
Risk assessment before interventions in elderly patients becomes more and more vital due to an increasing number of elderly patients requiring surgery. Existing risk scores are often not tailored to marginalized groups such as patients aged 80 years or older. We aimed to develop an easy-to-use and readily applicable risk assessment tool that implements pre-interventional predictors of 30-day mortality in elderly patients (≥80 years) undergoing interventions under anesthesia. Using Cox regression analysis, we compared different sets of predictors by taking into account their ease of availability and by evaluating predictive accuracy. Coefficient estimates were utilized to set up a scoring system that was internally validated. Model building and evaluation were based on data from the Peri-Interventional Outcome Study in the Elderly (POSE), which was conducted as a European multicenter, observational prospective cohort study. Our risk assessment tool, named PIRATE, contains three predictors assessable at admission (urgency, severity and living conditions). Discriminatory power, as measured by the concordance index, was 0.75. The estimated prediction error, as measured by the Brier score, was 0.036 (covariate-free reference model: 0.043). PIRATE is an easy-to-use risk assessment tool that helps stratifying elderly patients undergoing interventions with anesthesia at increased risk of mortality. PIRATE is readily available and applies to a wide variety of settings. In particular, it covers patients needing elective or emergency surgery and undergoing in-hospital or day-case surgery. Also, it applies to all types of interventions, from minor to major. It may serve as a basis for multidisciplinary and informed shared decision-making.
Collapse
Affiliation(s)
- Alina Schenk
- Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Ana Kowark
- Department of Anaesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
- Department of Anaesthesiology, Medical Faculty University Hospital RWTH Aachen, Aachen, Germany
| | - Moritz Berger
- Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Rolf Rossaint
- Department of Anaesthesiology, Medical Faculty University Hospital RWTH Aachen, Aachen, Germany
| | - Matthias Schmid
- Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Mark Coburn
- Department of Anaesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
| | | |
Collapse
|
39
|
Wernly B, Bruno RR, Beil M, Flaatten H, Kelm M, Sigal S, Szczeklik W, Elhadi M, Joannidis M, Koköfer A, Oeyen S, Marsh B, Moreno R, Wernly S, Leaver S, De Lange DW, Guidet B, Jung C. Frailty's influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale. Ann Intensive Care 2023; 13:126. [PMID: 38091131 PMCID: PMC10719192 DOI: 10.1186/s13613-023-01223-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023] Open
Abstract
INTRODUCTION Frailty is widely acknowledged as influencing health outcomes among critically ill old patients. Yet, the traditional understanding of its impact has predominantly been through frequentist statistics. We endeavored to explore this association using Bayesian statistics aiming to provide a more nuanced understanding of this multifaceted relationship. METHODS Our analysis incorporated a cohort of 10,363 older (median age 82 years) patients from three international prospective studies, with 30-day all-cause mortality as the primary outcome. We defined frailty as Clinical Frailty Scale ≥ 5. A hierarchical Bayesian logistic regression model was employed, adjusting for covariables, using a range of priors. An international steering committee of registry members reached a consensus on a minimal clinically important difference (MCID). RESULTS In our study, the 30-day mortality was 43%, with rates of 38% in non-frail and 51% in frail groups. Post-adjustment, the median odds ratio (OR) for frailty was 1.60 (95% CI 1.45-1.76). Frailty was invariably linked to adverse outcomes (OR > 1) with 100% probability and had a 90% chance of exceeding the minimal clinically important difference (MCID) (OR > 1.5). For the Clinical Frailty Scale (CFS) as a continuous variable, the median OR was 1.19 (1.16-1.22), with over 99% probability of the effect being more significant than 1.5 times the MCID. Frailty remained outside the region of practical equivalence (ROPE) in all analyses, underscoring its clinical importance regardless of how it is measured. CONCLUSIONS This research demonstrates the significant impact of frailty on short-term mortality in critically ill elderly patients, particularly when the Clinical Frailty Scale (CFS) is used as a continuous measure. This approach, which views frailty as a spectrum, enables more effective, personalized care for this vulnerable group. Significantly, frailty was consistently outside the region of practical equivalence (ROPE) in our analysis, highlighting its clinical importance.
Collapse
Affiliation(s)
- Bernhard Wernly
- Institute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University of Salzburg, 5020, Salzburg, Austria
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical University Salzburg, 5020, Salzburg, Austria
| | - Raphael Romano Bruno
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany
| | - Michael Beil
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, 91120, Jersualem, Israel
| | - Hans Flaatten
- Department of Clinical Medicine, University of Bergen, Department of Anaestesia and Intensive Care, Haukeland University Hospital, 5021, Bergen, Norway
| | - Malte Kelm
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany
- Cardiovascular Research Institute Düsseldorf (CARID), Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany
| | - Sviri Sigal
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, 91120, Jersualem, Israel
| | - Wojciech Szczeklik
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, 31-008, Krakow, Poland
| | - Muhammed Elhadi
- Faculty of Medicine, University of Tripoli, R6XF+46G, Tripoli, Libya
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, 6020, Innsbruck, Austria
| | - Andreas Koköfer
- Department of Anaesthesiology, Perioperative Medicine and Intensive Care, Paracelsus Medical University of Salzburg, 5020, Salzburg, Austria
| | - Sandra Oeyen
- Department of Intensive Care 1K12IC, Ghent University Hospital, 9000, Ghent, Belgium
| | - Brian Marsh
- Mater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland
| | - Rui Moreno
- Centro Hospitalar de Lisboa Central, Faculdade de Ciências Médicas de Lisboa, Nova Medical School, Lisboa, Portugal
- Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| | - Sarah Wernly
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical University Salzburg, 5020, Salzburg, Austria
| | - Susannah Leaver
- General Intensive Care, St. George´S University Hospital NHS Foundation Trust, London, SW17 0QT, UK
| | - Dylan W De Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, 3584 CX, Utrecht, Utrecht, The Netherlands
| | - Bertrand Guidet
- Inserm, Service de'Réanimation, Sorbonne Université, Hôpital Saint-Antoine, Institut Pierre-Louis d'épidémiologie Et de Santé Publique, AP-HP, 184, Rue du Faubourg-Saint-Antoine, 75012, Paris, France
| | - Christian Jung
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
- Faculty of Medicine, University of Tripoli, R6XF+46G, Tripoli, Libya.
- Division of Cardiology, Pulmonology and Vascular Medicine, University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
| |
Collapse
|
40
|
Lenkeit A, Oppong MD, Dinger TF, Gümüs M, Rodemerk J, Chihi M, Ahmadipour Y, Uerschels AK, Dammann P, Deuschl C, Wrede KH, Sure U, Jabbarli R. The role of previous medical history and secondary complications for the outcome of aneurysmal subarachnoid hemorrhage in elderly patients. Clin Neurol Neurosurg 2023; 235:108027. [PMID: 37949039 DOI: 10.1016/j.clineuro.2023.108027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/11/2023] [Accepted: 10/26/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Aneurysmal subarachnoid hemorrhage (SAH) presents a devastating diagnosis for elderly individuals, resulting in high morbidity and mortality rates. The aim of the study was to analyze the impact of medical history and complications during SAH on the outcome of elderly patients. METHODS Consecutive SAH cases aged ≥ 65 years old treated in our hospital between 01/2003 and 06/2016 were included (n = 218). Data on comorbidities, previous medication, initial severity, secondary complications, and the outcome were collected. Study endpoints were occurrence of cerebral infarcts, in-hospital mortality, and unfavorable outcome at 6 months after SAH. RESULTS Cerebral infarcts were documented in 111 (51.2 % ) individuals. Multivariate analysis showed that angiographic vasospasm caused an increase (adjusted odds ratio [aOR] = 3.11, p = 0.022) in the risk of infarction, whereas aspirin treatment decreased (aOR = 0.25, p = 0.001) the risk of infarction. In turn, increasing age (aOR = 1.11, p = 0.002), intracranial hypertension (>20 mmHg, aOR = 3.32, p = 0.006) and acute kidney failure (aOR = 6.65, p = 0.035) during SAH were independently related to the risk of in-hospital mortality (n = 50; 22.9 % ). Finally, patients' age (aOR = 1.09, p = 0.022), high initial SAH burden (WFNS ≥ 4: aOR = 7.5, p < 0.0001; intraventricular hemorrhage: aOR = 4.38, p = 0.007), aneurysm clipping (aOR = 4.07, p = 0.018), and intracranial hypertension during SAH (aOR = 4.08, p = 0.006) were independent predictors of unfavorable outcome (n = 106/192; 55.5 % ). Previous medical history showed no negative impact on the severity, course and outcome of SAH. CONCLUSION About half of elderly SAH patients face poor outcomes after aneurysm securing. The initial severity of and complications during SAH are the major contributors to poor treatment results. Our findings might help to optimize the treatment strategies.
Collapse
Affiliation(s)
- Annika Lenkeit
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany.
| | - Marvin Darkwah Oppong
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | - Thiemo Florin Dinger
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | - Meltem Gümüs
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | - Jan Rodemerk
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | - Mehdi Chihi
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | - Yahya Ahmadipour
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | | | - Philipp Dammann
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | - Cornelius Deuschl
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Karsten H Wrede
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | - Ulrich Sure
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| | - Ramazan Jabbarli
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
| |
Collapse
|
41
|
Uzel R, Rezar R, Bruno RR, Wernly S, Jung C, Delle Karth G, Datz C, Hoppichler F, Wernly B. Frailty as a predictor of mortality and readmission rate in secondary mitral regurgitation. Wien Klin Wochenschr 2023; 135:696-702. [PMID: 36633679 PMCID: PMC9836337 DOI: 10.1007/s00508-022-02138-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 11/24/2022] [Indexed: 01/13/2023]
Abstract
INTRODUCTION Selection in patients with functional mitral regurgitation (MR) to identify responders to interventions is challenging. In these patients, frailty might be used as a multidimensional parameter to summarize the resilience to stressors. Our objective was to evaluate frailty as a predictor of outcome in patients with moderate to severe secondary MR. METHODS We conducted a single-center retrospective observational cohort study and included 239 patients with moderate to severe secondary MR aged 65 years or older between 2014 and 2020. Echocardiography was performed at baseline; frailty was evaluated using the clinical frailty scale (CFS). The combined primary endpoint was hospitalization for heart failure and all-cause mortality. RESULTS A total of 53% (127) of all patients were classified as CFS 4 (living with mild frailty) or higher. Frail patients had a higher risk for the combined endpoint (hazard ratio, HR 3.70, 95% confidence interval, CI 2.12-6.47; p < 0.001), 1‑year mortality (HR 5.94, 95% CI 1.76-20.08; p < 0.001) even after adjustment for EuroSCORE2. The CFS was predictive for the combined endpoint (AUC 0.69, 95% CI 0.62-0.75) and outperformed EuroSCORE2 (AUC 0.54, 95% CI 0.46-0.62; p = 0.01). In sensitivity analyses, we found that frailty was associated with adverse outcomes at least in trend in all subgroups. CONCLUSION For older, medically treated patients with moderate to severe secondary mitral regurgitation, frailty is an independent predictor for the occurrence of death and heart failure-related readmission within 1 year and outperformed the EuroSCORE2. Frailty should be assessed routinely in patients with heart failure to guide clinical decision making for mitral valve interventions or conservative treatment.
Collapse
Affiliation(s)
- Robert Uzel
- Department of Internal Medicine, Saint John of God Hospital, Teaching Hospital of the Paracelsus Medical Private University, Kajetanerplatz 1, 5020, Salzburg, Austria.
- Department of Cardiology, Klinik Floridsdorf, Brünner Str. 68, 1210, Vienna, Austria.
| | - Richard Rezar
- Department of Cardiology and Intensive Care Medicine, Paracelsus Medical University of Salzburg, Müllner Hauptstr. 48, 5020, Salzburg, Austria
| | - Raphael Romano Bruno
- Department of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany
| | - Sarah Wernly
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical Private University, Paracelsusstr. 37, 5110, Oberndorf, Austria
| | - Christian Jung
- Department of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany
| | - Georg Delle Karth
- Department of Cardiology, Klinik Floridsdorf, Brünner Str. 68, 1210, Vienna, Austria
| | - Christian Datz
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical Private University, Paracelsusstr. 37, 5110, Oberndorf, Austria
| | - Friedrich Hoppichler
- Department of Internal Medicine, Saint John of God Hospital, Teaching Hospital of the Paracelsus Medical Private University, Kajetanerplatz 1, 5020, Salzburg, Austria
- Special Institute for Preventive Cardiology and Nutrition, SIPCAN-Initiative für ein gesundes Leben, Salzburg, Austria
| | - Bernhard Wernly
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical Private University, Paracelsusstr. 37, 5110, Oberndorf, Austria
- Institute of general practice, family medicine and preventive medicine, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria
| |
Collapse
|
42
|
Remelli F, Scaramuzzo G, Capuzzo M, Maietti E, Berselli A, Denti M, Zani G, Squadrani E, La Rosa R, Volta CA, Volpato S, Spadaro S. Frailty trajectories in ICU survivors: A comparison between the clinical frailty scale and the Tilburg frailty Indicator and association with 1 year mortality. J Crit Care 2023; 78:154398. [PMID: 37531923 DOI: 10.1016/j.jcrc.2023.154398] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 07/03/2023] [Accepted: 07/24/2023] [Indexed: 08/04/2023]
Abstract
PURPOSE To test the agreement of the Clinical Frailty Scale (CFS) and the Tilburg Frailty Indicator (TFI), their association with 3, 6 months and 1-year mortality and the trajectory of frailty in a mixed population of ICU survivors. MATERIAL AND METHODS This is a prospective, multicenter, longitudinal study on ICU survivors ≥18 years old with an ICU stay >72 h. For each patient, sociodemographic and clinical data were collected. Frailty was assessed during ICU stay and at 3, 6, 12 months after ICU discharge, through both CFS and TFI. RESULTS 124 patients with a mean age of 66 years old were enrolled. The baseline prevalence of frailty was 15.3% by CFS and 44.4% by TFI. Baseline CFS and TFI correlated but showed low agreement (Cohen's K = 0.23, p < 0.001). Baseline CFS score, but not TFI, was significantly associated to 1 year mortality. Moreover, CFS score during the follow-up was independently associated 1-year mortality (OR = 1.43; 95% CI: 1.18-1.73). CONCLUSIONS CFS and TFI identify different populations of frail ICU survivors. Frail patients before ICU according to CFS have a significantly higher mortality after ICU discharge. The CFS during follow-up is an independent negative prognostic factor of long-term mortality in the ICU population.
Collapse
Affiliation(s)
| | - Gaetano Scaramuzzo
- Department of Translational Medicine, University of Ferrara, Italy; Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria of Ferrara, Italy.
| | - Maurizia Capuzzo
- Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria of Ferrara, Italy
| | - Elisa Maietti
- Department of Biomedical and Neuromotor Science, University of Bologna, Italy
| | - Angela Berselli
- Anesthesia and Intensive Care, Azienda Ospedaliera Carlo Poma, Mantova, Italy
| | - Marianna Denti
- Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria of Ferrara, Italy
| | - Gianluca Zani
- Anesthesia and Intensive Care, Ospedale Santa Maria delle Croci, Ravenna, Italy
| | - Eleonora Squadrani
- Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria of Ferrara, Italy
| | - Riccardo La Rosa
- Department of Translational Medicine, University of Ferrara, Italy
| | - Carlo Alberto Volta
- Department of Translational Medicine, University of Ferrara, Italy; Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria of Ferrara, Italy
| | - Stefano Volpato
- Department of Medical Science, University of Ferrara, Italy; Geriatrics and Orthogeriatrics Unit, Azienda Ospedaliero-Universitaria of Ferrara, Italy
| | - Savino Spadaro
- Department of Translational Medicine, University of Ferrara, Italy; Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria of Ferrara, Italy
| |
Collapse
|
43
|
Affiliation(s)
- Jean-Pierre Michel
- Medical University of Geneva, Geneva, Switzerland
- French Academy of Medicine, Paris, France
| | - Fiona Ecarnot
- Department of Cardiology, University Hospital Besancon, Boulevard Fleming, 25000, Besancon, France.
- EA3920, University of Franche-Comté, Besancon, France.
| |
Collapse
|
44
|
Higuchi R, Nanasato M, Furuichi Y, Hosoya Y, Haraguchi G, Takayama M, Isobe M. Outcomes of Octogenarians and Nonagenarians in a Contemporary Cardiac Care Unit - Insights From 2,242 Patients Admitted Between 2019 and 2021. Circ Rep 2023; 5:430-436. [PMID: 37969231 PMCID: PMC10632070 DOI: 10.1253/circrep.cr-23-0078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 11/17/2023] Open
Abstract
Background: The number of octo- and nonagenarians admitted to cardiac care units (CCUs) has been increasing in the context of an aging society; however, clinical details and outcomes for these patients are scarce. Methods and Results: Data from 2,242 consecutive patients admitted to the CCU between 2019 and 2021 (age <80 years, 1,390 [62%]; octogenarians, 655 [29%]; nonagenarians, 197 [8.7%]) were reviewed using the in-hospital database for the Tokyo CCU Network. The primary cause of admission was acute coronary syndrome in younger patients and octogenarians (58% and 49%, respectively) and acute heart failure (AHF) in nonagenarians (42%). The proportions of females, underweight, hypertension, atrial fibrillation, myocardial infarction, stroke, previous heart failure, anemia, and malnutrition were higher among octo- and nonagenarians than among younger patients. In-hospital and 1-year mortality rates were greater in octo- and nonagenarians (younger vs. octogenarian vs. nonagenarian, 2.0% vs. 3.8% vs. 5.6% and 4.1% vs. 11.9% vs. 19.0%, respectively). Multivariate analysis revealed that 1-year mortality was associated with octo-/nonagenarian status (odds ratio [OR] 2.24 and 2.64), AHF (OR 2.88), body mass index (OR per 1-kg/m2 0.91), and albumin concentration (OR per 1-g/dL 0.27). Conclusions: Approximately 40% of patients admitted to the CCU were octo- or nonagenarians, and being an octo- or nonagenarian, having AHF, a lower body mass index, and lower albumin concentrations were associated with 1-year mortality after CCU admission.
Collapse
Affiliation(s)
- Ryosuke Higuchi
- Department of Cardiology, Sakakibara Heart Institute Fuchu Japan
| | - Mamoru Nanasato
- Department of Cardiology, Sakakibara Heart Institute Fuchu Japan
| | - Yuko Furuichi
- Department of Anesthesiology, Sakakibara Heart Institute Fuchu Japan
| | - Yumiko Hosoya
- Department of Cardiology, Sakakibara Heart Institute Fuchu Japan
| | - Go Haraguchi
- Department of Intensive Care, Sakakibara Heart Institute Fuchu Japan
| | | | | |
Collapse
|
45
|
Nickel CH, Kellett J. Assessing Physiologic Reserve and Frailty in the Older Emergency Department Patient: Should the Paradigm Change? Clin Geriatr Med 2023; 39:475-489. [PMID: 37798060 DOI: 10.1016/j.cger.2023.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
Older patients are more vulnerable to acute illness or injury because of reduced physiologic reserve associated with aging. Therefore, their assessment in the emergency department (ED) should include not only vital signs and their baseline values but also changes that reflect physiologic reserve, such as mobility, mental status, and frailty. Combining aggregated vitals sign scores and frailty might improve risk stratification in the ED. Implementing these changes in ED assessment may require the introduction of senior-friendly processes to ensure ED treatment is appropriate to the older patients' immediate discomfort, personal goals, and likely prognosis.
Collapse
Affiliation(s)
- Christian H Nickel
- Emergency Department, University Hospital Basel, University of Basel, Petersgraben 2, Basel CH-4031, Switzerland.
| | - John Kellett
- Department of Emergency Medicine, Odense University Hospital, University of Southern Denmark, Denmark
| |
Collapse
|
46
|
Sonaglioni A, Lombardo M, Grasso E, Nicolosi GL, Foti N, Lonati C, Harari S. Presumed Takotsubo syndrome is associated with high in-hospital mortality in very elderly frail females: a case series. Aging Clin Exp Res 2023; 35:2851-2856. [PMID: 37581859 DOI: 10.1007/s40520-023-02517-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 07/23/2023] [Indexed: 08/16/2023]
Abstract
Given the aging of general population, very elderly females with Takotsubo syndrome (TTS) are not rarely encountered in clinical practice. Although coronary angiography with left ventriculography is the gold standard diagnostic tool to exclude or confirm TTS, currently, this invasive procedure is less frequently performed in older patients with several comorbidities, such as renal failure, anemia, infections, neurological disorders, malignancy, and severe frailty. In these patients, a "presumed" TTS is diagnosed on the basis of clinical presentation, electrocardiogram, cardiac biomarkers, and echocardiographic findings without coronary angiography. While, in younger patients, TTS is generally a benign condition, in very elderly females, it is associated with higher in-hospital mortality and poor prognosis. Herein, we present four cases of ultra-octogenarian females diagnosed with "presumed TTS", who did not undergo coronary angiography due to severe frailty and multiple comorbidities and who exhibited poor outcome. This could arise the question if an early more aggressive approach could have changed final results. Probably, the solution could only be a personalized decision deriving from a profound and detailed discussion of each case through a multidisciplinary team approach.
Collapse
Affiliation(s)
| | | | - Enzo Grasso
- Division of Cardiology, MultiMedica IRCCS, Milan, Italy
| | | | - Nicolò Foti
- Division of Internal Medicine, MultiMedica IRCCS, Milan, Italy
| | - Chiara Lonati
- Division of Internal Medicine, MultiMedica IRCCS, Milan, Italy.
- Department of Clinical Sciences and Community Health, Università di Milano, Milan, Italy.
| | - Sergio Harari
- Division of Internal Medicine, MultiMedica IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Università di Milano, Milan, Italy
| |
Collapse
|
47
|
Beumeler LFE, Bethlehem C, Hoogstins-Vlagsma TT, van Zutphen T, Buter H, Navis GJ, Boerma EC. The prevalence of mental frailty in ICU survivors and informal caregiver strain: A 1-year retrospective study of the Frisian aftercare cohort. J Intensive Care Soc 2023; 24:356-363. [PMID: 37841292 PMCID: PMC10572478 DOI: 10.1177/17511437221139547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Abstract
Background Intensive care unit (ICU) survivors often suffer from long-term mental problems and a reduced health-related quality of life (HRQoL). Symptoms of depression, anxiety, and post-traumatic stress disorder may render patients mentally frail post-ICU, resulting in impaired recovery and an increased informal caregiver burden. The aim of this study was to investigate the prevalence of mental frailty up to 12 months after ICU admission and pinpoint markers for early risk-assessment in clinical practice. Methods A retrospective cohort study (2012-2018) in which clinical and post-ICU data of long-stay (⩾48 h) ICU-patients was used. Mental frailty was identified as clinically relevant symptoms of depression, anxiety, or post-traumatic distress disorder at 12 months after discharge. Results The prevalence of mental frailty at 12 months post-ICU among the total group of 239 patients was 38%. Mental frailty was defined as clinically relevant symptoms of depression, anxiety, and/or trauma. To achieve this, previously validated cut off values were used for the HADS (HADS-Anxiety ⩾ 8; HADS-Depression ⩾ 8) and TSQ (⩾6), and CSI (⩾7). Conclusion A significant proportion of ICU-survivors can be identified as mentally frail, which is associated with impaired HRQoL at baseline and post-ICU, and high caregiver strain. These findings emphasize the need for integrative aftercare programs for both the patient and their informal caregivers.
Collapse
Affiliation(s)
- Lise F E Beumeler
- Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands
- Department of Intensive Care, Medical Centre Leeuwarden, Leeuwarden, The Netherlands
| | - Carina Bethlehem
- Department of Intensive Care, Medical Centre Leeuwarden, Leeuwarden, The Netherlands
| | | | - Tim van Zutphen
- Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands
- Faculty of Medical Sciences, University Medical Centre Groningen, The Netherlands
| | - Hanneke Buter
- Department of Intensive Care, Medical Centre Leeuwarden, Leeuwarden, The Netherlands
| | - Gerjan J Navis
- Faculty of Medical Sciences, University Medical Centre Groningen, The Netherlands
| | - E Christiaan Boerma
- Department of Intensive Care, Medical Centre Leeuwarden, Leeuwarden, The Netherlands
| |
Collapse
|
48
|
Misset B, Piagnerelli M, Hoste E, Dardenne N, Grimaldi D, Michaux I, De Waele E, Dumoulin A, Jorens PG, van der Hauwaert E, Vallot F, Lamote S, Swinnen W, De Schryver N, Fraipont V, de Mey N, Dauby N, Layios N, Mesland JB, Meyfroidt G, Moutschen M, Compernolle V, Gothot A, Desmecht D, Taveira da Silva Pereira MI, Garigliany M, Najdovski T, Bertrand A, Donneau AF, Laterre PF. Convalescent Plasma for Covid-19-Induced ARDS in Mechanically Ventilated Patients. N Engl J Med 2023; 389:1590-1600. [PMID: 37889107 PMCID: PMC10755833 DOI: 10.1056/nejmoa2209502] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
BACKGROUND Passive immunization with plasma collected from convalescent patients has been regularly used to treat coronavirus disease 2019 (Covid-19). Minimal data are available regarding the use of convalescent plasma in patients with Covid-19-induced acute respiratory distress syndrome (ARDS). METHODS In this open-label trial, we randomly assigned adult patients with Covid-19-induced ARDS who had been receiving invasive mechanical ventilation for less than 5 days in a 1:1 ratio to receive either convalescent plasma with a neutralizing antibody titer of at least 1:320 or standard care alone. Randomization was stratified according to the time from tracheal intubation to inclusion. The primary outcome was death by day 28. RESULTS A total of 475 patients underwent randomization from September 2020 through March 2022. Overall, 237 patients were assigned to receive convalescent plasma and 238 to receive standard care. Owing to a shortage of convalescent plasma, a neutralizing antibody titer of 1:160 was administered to 17.7% of the patients in the convalescent-plasma group. Glucocorticoids were administered to 466 patients (98.1%). At day 28, mortality was 35.4% in the convalescent-plasma group and 45.0% in the standard-care group (P = 0.03). In a prespecified analysis, this effect was observed mainly in patients who underwent randomization 48 hours or less after the initiation of invasive mechanical ventilation. Serious adverse events did not differ substantially between the two groups. CONCLUSIONS The administration of plasma collected from convalescent donors with a neutralizing antibody titer of at least 1:160 to patients with Covid-19-induced ARDS within 5 days after the initiation of invasive mechanical ventilation significantly reduced mortality at day 28. This effect was mainly observed in patients who underwent randomization 48 hours or less after ventilation initiation. (Funded by the Belgian Health Care Knowledge Center; ClinicalTrials.gov number, NCT04558476.).
Collapse
Affiliation(s)
- Benoît Misset
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Michael Piagnerelli
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Eric Hoste
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Nadia Dardenne
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - David Grimaldi
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Isabelle Michaux
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Elisabeth De Waele
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Alexander Dumoulin
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Philippe G Jorens
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Emmanuel van der Hauwaert
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Frédéric Vallot
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Stoffel Lamote
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Walter Swinnen
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Nicolas De Schryver
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Vincent Fraipont
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Nathalie de Mey
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Nicolas Dauby
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Nathalie Layios
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Jean-Baptiste Mesland
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Geert Meyfroidt
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Michel Moutschen
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Veerle Compernolle
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - André Gothot
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Daniel Desmecht
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Maria I Taveira da Silva Pereira
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Mutien Garigliany
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Tome Najdovski
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Axelle Bertrand
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Anne-Françoise Donneau
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| | - Pierre-François Laterre
- From the Departments of Intensive Care Medicine (B.M., N.L., A.B.), Infectious Diseases (M.M.), Immunohematology (A.G.), and Microbiology (M.I.T.S.P.), University Hospital of Liège, the Biostatistics Unit, Public Health Department (N. Dardenne, A.-F.D.), and the Department of Animal Pathology (D.D., M.G.), Liège University, and the Department of Intensive Care Medicine, Citadelle General Hospital (V.F.), Liège, the Department of Intensive Care Medicine, Centre Hospitalier Universitaire (CHU) de Charleroi-Marie Curie Hospital, Université Libre de Bruxelles, Charleroi (M.P.), the Department of Intensive Care Medicine, Ghent University Hospital (E. Hoste), and the Faculty of Medicine and Health Sciences (V.C.), Ghent University, Ghent, the Department of Intensive Care Medicine, Cliniques Universitaires de Bruxelles-Erasme, Université Libre de Bruxelles (D.G.), the Division of Infectious Diseases, Saint-Pierre University Hospital (N. Dauby), and the Department of Intensive Care Medicine, Saint-Luc University Hospital (J.-B.M., P.-F.L.), Brussels, the Department of Intensive Care, Université Catholique de Louvain (UCL), CHU UCL Namur, Yvoir (I.M.), the Department of Intensive Care Medicine, Brussels University Hospital, Vrije Universiteit Brussel, Jette (E.D.W.), the Department of Intensive Care Medicine, Delta General Hospital, Roeselare (A.D.), the Department of Intensive Care Medicine, Antwerp University Hospital, University of Antwerp, Edegem (P.G.J.), the Department of Intensive Care Medicine, Imelda General Hospital, Bonheiden (E. Hauwaert), the Department of Intensive Care Medicine, Wallonie Picarde General Hospital, Tournai (F.V.), the Department of Intensive Care Medicine, Groeninge General Hospital, Kortrijk (S.L.), the Department of Intensive Care Medicine, Sint Blasius General Hospital, Dendermonde (W.S.), the Department of Intensive Care Medicine, Saint-Pierre Medical Clinic, Ottignies (N.D.S.), the Department of Intensive Care Medicine, Onze-Lieve-Vrouw General Hospital, Aalst (N.M.), the Department of Intensive Care Medicine, University Hospitals Leuven, Leuven (G.M.), Blood Services from the Red Cross, Mechelen (V.C.), Blood Services from the Red Cross, Suarlée (T.N.), and the Department of Intensive Care Medicine, Centre Hospitalier Régional Mons-Hainaut, Mons (P.-F.L.) - all in Belgium
| |
Collapse
|
49
|
Polok K, Fronczek J, Putowski Z, Czok M, Guidet B, Jung C, de Lange D, Leaver S, Moreno R, Flatten H, Szczeklik W. Validity of the total SOFA score in patients ≥ 80 years old acutely admitted to intensive care units: a post-hoc analysis of the VIP2 prospective, international cohort study. Ann Intensive Care 2023; 13:98. [PMID: 37798561 PMCID: PMC10555975 DOI: 10.1186/s13613-023-01191-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 09/17/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Little is known about the performance of the Sequential Organ Failure Assessment (SOFA) score in older critically ill adults. We aimed to evaluate the prognostic impact of physiological disturbances in the six organ systems included in the SOFA score. METHODS We analysed previously collected data from a prospective cohort study conducted between 2018 and 2019 in 22 countries. Consecutive patients ≥ 80 years old acutely admitted to intensive care units (ICUs) were eligible for inclusion. Patients were followed up for 30 days after admission to the ICU. We used logistic regression to study the association between increasing severity of organ dysfunction and mortality. RESULTS The median SOFA score among 3882 analysed patients was equal to 6 (IQR: 4-9). Mortality was equal to 26.1% (95% CI 24.7-27.5%) in the ICU and 38.7% (95% CI 37.1-40.2%) at day 30. Organ failure defined as a SOFA score ≥ 3 was associated with variable adjusted odds ratios (aORs) for ICU mortality dependant on the organ system affected: respiratory, 1.53 (95% CI 1.29-1.81); cardiovascular 1.69 (95% CI 1.43-2.01); hepatic, 1.74 (95% CI 0.97-3.15); renal, 1.87 (95% CI 1.48-2.35); central nervous system, 2.79 (95% CI 2.34-3.33); coagulation, 2.72 (95% CI 1.66-4.48). Modelling consecutive levels of organ dysfunction resulted in aORs equal to 0.57 (95% CI 0.33-1.00) when patients scored 2 points in the cardiovascular system and 1.01 (0.79-1.30) when the cardiovascular SOFA equalled 3. CONCLUSIONS Different components of the SOFA score have different prognostic implications for older critically ill adults. The cardiovascular component of the SOFA score requires revision.
Collapse
Affiliation(s)
- Kamil Polok
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, ul. Wrocławska 1-3, 30 - 901, Kraków, Poland
- Department of Pulmonology, Jagiellonian University Medical College, Kraków, Poland
| | - Jakub Fronczek
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, ul. Wrocławska 1-3, 30 - 901, Kraków, Poland
| | - Zbigniew Putowski
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, ul. Wrocławska 1-3, 30 - 901, Kraków, Poland
| | - Marcelina Czok
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, ul. Wrocławska 1-3, 30 - 901, Kraków, Poland
| | - Bertrand Guidet
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie Et de Santé Publique, Equipe: Epidémiologie Hospitalière Qualité Et Organisation Des Soins, 75012, Paris, France
- Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Christian Jung
- Department of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany
| | - Dylan de Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Susannah Leaver
- Department of Critical Care, St George's Hospital, London, UK
| | - Rui Moreno
- Hospital de São José, Centro Hospitalar Universitário de Lisboa Central, Faculdade de Ciências Médicas de Lisboa (Nova Médical School), Lisbon, Portugal
- Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| | - Hans Flatten
- Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Wojciech Szczeklik
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, ul. Wrocławska 1-3, 30 - 901, Kraków, Poland.
| |
Collapse
|
50
|
Liu X, Hu P, Yeung W, Zhang Z, Ho V, Liu C, Dumontier C, Thoral PJ, Mao Z, Cao D, Mark RG, Zhang Z, Feng M, Li D, Celi LA. Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation. Lancet Digit Health 2023; 5:e657-e667. [PMID: 37599147 DOI: 10.1016/s2589-7500(23)00128-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 05/31/2023] [Accepted: 06/22/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND Comorbidity, frailty, and decreased cognitive function lead to a higher risk of death in elderly patients (more than 65 years of age) during acute medical events. Early and accurate illness severity assessment can support appropriate decision making for clinicians caring for these patients. We aimed to develop ELDER-ICU, a machine learning model to assess the illness severity of older adults admitted to the intensive care unit (ICU) with cohort-specific calibration and evaluation for potential model bias. METHODS In this retrospective, international multicentre study, the ELDER-ICU model was developed using data from 14 US hospitals, and validated in 171 hospitals from the USA and Netherlands. Data were extracted from the Medical Information Mart for Intensive Care database, electronic ICU Collaborative Research Database, and Amsterdam University Medical Centers Database. We used six categories of data as predictors, including demographics and comorbidities, physical frailty, laboratory tests, vital signs, treatments, and urine output. Patient data from the first day of ICU stay were used to predict in-hospital mortality. We used the eXtreme Gradient Boosting algorithm (XGBoost) to develop models and the SHapley Additive exPlanations method to explain model prediction. The trained model was calibrated before internal, external, and temporal validation. The final XGBoost model was compared against three other machine learning algorithms and five clinical scores. We performed subgroup analysis based on age, sex, and race. We assessed the discrimination and calibration of models using the area under receiver operating characteristic (AUROC) and standardised mortality ratio (SMR) with 95% CIs. FINDINGS Using the development dataset (n=50 366) and predictive model building process, the XGBoost algorithm performed the best in all types of validations compared with other machine learning algorithms and clinical scores (internal validation with 5037 patients from 14 US hospitals, AUROC=0·866 [95% CI 0·851-0·880]; external validation in the US population with 20 541 patients from 169 hospitals, AUROC=0·838 [0·829-0·847]; external validation in European population with 2411 patients from one hospital, AUROC=0·833 [0·812-0·853]; temporal validation with 4311 patients from one hospital, AUROC=0·884 [0·869-0·897]). In the external validation set (US population), the median AUROCs of bias evaluations covering eight subgroups were above 0·81, and the overall SMR was 0·99 (0·96-1·03). The top ten risk predictors were the minimum Glasgow Coma Scale score, total urine output, average respiratory rate, mechanical ventilation use, best state of activity, Charlson Comorbidity Index score, geriatric nutritional risk index, code status, age, and maximum blood urea nitrogen. A simplified model containing only the top 20 features (ELDER-ICU-20) had similar predictive performance to the full model. INTERPRETATION The ELDER-ICU model reliably predicts the risk of in-hospital mortality using routinely collected clinical features. The predictions could inform clinicians about patients who are at elevated risk of deterioration. Prospective validation of this model in clinical practice and a process for continuous performance monitoring and model recalibration are needed. FUNDING National Institutes of Health, National Natural Science Foundation of China, National Special Health Science Program, Health Science and Technology Plan of Zhejiang Province, Fundamental Research Funds for the Central Universities, Drug Clinical Evaluate Research of Chinese Pharmaceutical Association, and National Key R&D Program of China.
Collapse
Affiliation(s)
- Xiaoli Liu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing, China; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Pan Hu
- Department of Anesthesiology, The 920 Hospital of Joint Logistic Support Force of Chinese PLA, Kunming Yunnan, China; Department of Critical Care Medicine, The First Medical Center of PLA General Hospital, Beijing, China
| | - Wesley Yeung
- Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Cardiology, National University Heart Centre, Singapore
| | - Zhongheng Zhang
- Department of Emergency Medicine, Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Vanda Ho
- Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore
| | - Chao Liu
- Department of Critical Care Medicine, The First Medical Center of PLA General Hospital, Beijing, China
| | - Clark Dumontier
- New England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, MA, USA; Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
| | - Patrick J Thoral
- Center for Critical Care Computational Intelligence, Department of Intensive Care Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Zhi Mao
- Department of Critical Care Medicine, The First Medical Center of PLA General Hospital, Beijing, China
| | - Desen Cao
- Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing, China
| | - Roger G Mark
- Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Zhengbo Zhang
- Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing, China
| | - Mengling Feng
- Saw Swee Hock School of Public Health and the Institute of Data Science, National University of Singapore, Singapore
| | - Deyu Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China; National Key Lab for Virtual Reality Technology and Systems, Beihang University, Beijing, China.
| | - Leo Anthony Celi
- Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA
| |
Collapse
|