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Rodríguez-García R, González-Lamuño L, Santullano M, Martín-Carro B, Fernández-Martín JL, Cienfuegos Basanta MDC, Forcelledo L, Palomo Antequera C. Clinical features and disease progression of elderly patients at the ICU setting. Med Intensiva 2024; 48:254-262. [PMID: 38519374 DOI: 10.1016/j.medine.2024.02.009] [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: 11/24/2023] [Accepted: 01/28/2024] [Indexed: 03/24/2024]
Abstract
OBJECTIVE To describe and characterize a cohort of octogenarian patients admitted to the ICU of the University Central Hospital of Asturias (HUCA). DESIGN Retrospective, observational and descriptive study of 14 months' duration. SETTING Cardiac and Medical intensive care units (ICU) of the HUCA (Oviedo). PARTICIPANTS Patients over 80 years old who were admitted to the ICU for more than 24 h. INTERVENTIONS None. MAIN VARIABLES OF INTEREST Age, sex, comorbidity, functional dependence, treatment, complications, evolution, mortality. RESULTS The most frequent reasons for admission were cardiac surgery and pneumonia. The average admission stay was significantly longer in patients under 85 years of age (p = 0,037). 84,3% of the latter benefited from invasive mechanical ventilation compared to 46,2% of older patients (p = <0,001). Patients over 85 years of age presented greater fragility. Admission for cardiac surgery was associated with a lower risk of mortality (HR = 0,18; 95% CI (0,062-0,527; p = 0,002). CONCLUSIONS The results have shown an association between the reason for admission to the ICU and the risk of mortality in octogenarian patients. Cardiac surgery was associated with a better prognosis compared to medical pathology, where pneumonia was associated with a higher risk of mortality. Furthermore, a significant positive association was observed between age and frailty.
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Affiliation(s)
- Raquel Rodríguez-García
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; CIBER-Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.
| | | | | | - Beatriz Martín-Carro
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Redes de Investigación Cooperativa Orientadas a Resultados en Salud (RICORS), RICORS2040 (Enfermedad renal), Instituto de Salud Carlos III, Oviedo, Spain
| | - Jose Luis Fernández-Martín
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Redes de Investigación Cooperativa Orientadas a Resultados en Salud (RICORS), RICORS2040 (Enfermedad renal), Instituto de Salud Carlos III, Oviedo, Spain
| | | | - Lorena Forcelledo
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Carmen Palomo Antequera
- Universidad de Oviedo, Oviedo, Spain; Servicio de Medicina Interna, Hospital Universitario Central de Asturias, Oviedo, Spain
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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.
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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
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Dziegielewski C, Fernando SM, Milani C, Mahdavi R, Talarico R, Thompson LH, Tanuseputro P, Kyeremanteng K. Outcomes and cost analysis of patients with dementia in the intensive care unit: a population-based cohort study. BMC Health Serv Res 2023; 23:1124. [PMID: 37858178 PMCID: PMC10588096 DOI: 10.1186/s12913-023-10095-5] [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: 11/12/2022] [Accepted: 09/30/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND Dementia is a neurological syndrome affecting the growing elderly population. While patients with dementia are known to require significant hospital resources, little is known regarding the outcomes and costs of patients admitted to the intensive care unit (ICU) with dementia. METHODS We conducted a population-based retrospective cohort study of patients with dementia admitted to the ICU in Ontario, Canada from 2016 to 2019. We described the characteristics and outcomes of these patients alongside those with dementia admitted to non-ICU hospital settings. The primary outcome was hospital mortality but we also assessed length of stay (LOS), discharge disposition, and costs. RESULTS Among 114,844 patients with dementia, 11,341 (9.9%) were admitted to the ICU. ICU patients were younger, more comorbid, and had less cognitive impairment (81.8 years, 22.8% had ≥ 3 comorbidities, 47.5% with moderate-severe dementia), compared to those in non-ICU settings (84.2 years, 15.0% had ≥ 3 comorbidities, 54.1% with moderate-severe dementia). Total mean LOS for patients in the ICU group was nearly 20 days, compared to nearly 14 days for the acute care group. Mortality in hospital was nearly three-fold greater in the ICU group compared to non-ICU group (22.2% vs. 8.8%). Total healthcare costs were increased for patients admitted to ICU vs. those in the non-ICU group ($67,201 vs. $54,080). CONCLUSIONS We find that patients with dementia admitted to the ICU have longer length of stay, higher in-hospital mortality, and higher total healthcare costs. As our study is primarily descriptive, future studies should investigate comprehensive goals of care planning, severity of illness, preventable costs, and optimizing quality of life in this high risk and vulnerable population.
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Affiliation(s)
- C Dziegielewski
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
| | - S M Fernando
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Department of Critical Care, Lakeridge Health Corporation, Oshawa, ON, Canada
| | - C Milani
- ICES, University of Ottawa, Ottawa, ON, Canada
| | - R Mahdavi
- ICES, University of Ottawa, Ottawa, ON, Canada
| | - R Talarico
- ICES, University of Ottawa, Ottawa, ON, Canada
| | | | - P Tanuseputro
- ICES, University of Ottawa, Ottawa, ON, Canada
- Bruyere Research Institute, Ottawa, ON, Canada
- Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - K Kyeremanteng
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
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Koutsouki S, Kosmidis D, Nagy EO, Tsaroucha A, Anastasopoulos G, Pnevmatikos I, Papaioannou V. Limitation of Non-Beneficial Interventions and their Impact on the Intensive Care Unit Costs. J Crit Care Med (Targu Mures) 2023; 9:230-238. [PMID: 37969880 PMCID: PMC10644299 DOI: 10.2478/jccm-2023-0028] [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] [Received: 05/29/2023] [Accepted: 09/30/2023] [Indexed: 11/17/2023] Open
Abstract
Introduction Using a plan to limit non-beneficial life support interventions has significantly reduced harm and loss of dignity for patients at the end of life. The association of these limitations with patients' clinical characteristics and health care costs in the intensive care unit (ICU) needs further scientific evidence. Aim of the study To explore decisions to limit non-beneficial life support interventions, their correlation with patients' clinical data, and their effect on the cost of care in the ICU. Material and Methods We included all patients admitted to the general ICU of a hospital in Greece in a two-year (2019-2021) prospective study. Data collection included patient demographic and clinical variables, data related to decisions to limit (withholding, withdrawing) non-beneficial interventions (NBIs), and economic data. Comparisons were made between patients with and without limitation decisions. Results NBIs were limited in 164 of 454 patients (36.12%). Patients with limitation decisions were associated with older age (70y vs. 62y; p<0,001), greater disease severity score (APACHE IV, 71 vs. 50; p<0,001), longer length of stay (7d vs. 4.5d; p<0,001), and worse prognosis of death (APACHE IV PDR, 48.9 vs. 17.35; p<0,001). All cost categories and total cost per patient were also higher than the patient without limitation of NBIs (9247,79€ vs. 8029,46€, p<0,004). The mean daily cost has not differed between the groups (831,24€ vs. 832,59€; p<0,716). However, in the group of patients with limitations, all cost categories, including the average daily cost (767.31€ vs. 649.12€) after the limitation of NBIs, were reduced to a statistically significant degree (p<0.001). Conclusions Limiting NBIs in the ICU reduces healthcare costs and may lead to better management of ICU resource use.
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Affiliation(s)
| | - Dimitrios Kosmidis
- Nursing Department, International Hellenic University, Didymoteicho, Greece
| | | | - Alexandra Tsaroucha
- Postgraduate program on Bioethics, Laboratory of Bioethics, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
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Li L, Lu X, Qin S, Huang D. Association between geriatric nutritional risk index and 28 days mortality in elderly patients with sepsis: a retrospective cohort study. Front Med (Lausanne) 2023; 10:1258037. [PMID: 37822466 PMCID: PMC10562554 DOI: 10.3389/fmed.2023.1258037] [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] [Received: 07/14/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023] Open
Abstract
Background There is a significant controversy surrounding the impact of the geriatric nutritional risk index (GNRI) on mortality among elderly septic patients. This retrospective cohort study aimed to investigate the association between GNRI at admission and 28 days mortality in elderly septic patients. Methods We retrospectively analyzed data collected from the MIMIC IV database between 2009 and 2019, which included 2,834 septic patients aged 65 years and above. The exposure variable was the GNRI, determined according to albumin levels, height, and weight. The primary outcome was 28 days mortality. We employed multivariable Cox regression analyses and Kaplan-Meier survival curves to examine the association between GNRI and 28 days mortality. We used restricted cubic splines to determine if there was a non-linear relationship between 28 days mortality and GNRI in elderly patients with sepsis and to examine the presence of a threshold saturation effect. In addition, interaction tests were conducted to identify subgroups that exhibited significant differences. Results A total of 2,834 elderly patients with sepsis participated in the study. Following adjustment, multivariable Cox regression analyses demonstrated that the GNRI was related to 28 days mortality (HR = 0.97, p < 0.001, 95% CI: 0.97-0.98). An L-shaped connection between GNRI and 28 days mortality was discovered via restricted cubic spline analysis, with an inflection point of 98.1. On the left side of the inflection point, GNRI levels were significantly negatively linked with 28 days mortality (HR = 0.967, 95% CI: 0.959-0.974; p < 0.001), and on the right side, there was no significant correlation (HR = 1.043, 95% CI: 0.984-1.106; p = 0.1549). Conclusion In this analysis of data from a large cohort of elderly septic patients, GNRI scores on admission were correlated with a 28 days risk of death from sepsis in the elderly suggesting that GNRI scores could serve as a valuable indicator for evaluating mortality rates among elderly septic patients in the intensive care unit (ICU).
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Bruno RR, Wernly B, Bagshaw SM, van den Boogaard M, Darvall JN, De Geer L, de Gopegui Miguelena PR, Heyland DK, Hewitt D, Hope AA, Langlais E, Le Maguet P, Montgomery CL, Papageorgiou D, Seguin P, Geense WW, Silva-Obregón JA, Wolff G, Polzin A, Dannenberg L, Kelm M, Flaatten H, Beil M, Franz M, Sviri S, Leaver S, Guidet B, Boumendil A, Jung C. The Clinical Frailty Scale for mortality prediction of old acutely admitted intensive care patients: a meta-analysis of individual patient-level data. Ann Intensive Care 2023; 13:37. [PMID: 37133796 PMCID: PMC10155148 DOI: 10.1186/s13613-023-01132-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/20/2023] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND This large-scale analysis pools individual data about the Clinical Frailty Scale (CFS) to predict outcome in the intensive care unit (ICU). METHODS A systematic search identified all clinical trials that used the CFS in the ICU (PubMed searched until 24th June 2020). All patients who were electively admitted were excluded. The primary outcome was ICU mortality. Regression models were estimated on the complete data set, and for missing data, multiple imputations were utilised. Cox models were adjusted for age, sex, and illness acuity score (SOFA, SAPS II or APACHE II). RESULTS 12 studies from 30 countries with anonymised individualised patient data were included (n = 23,989 patients). In the univariate analysis for all patients, being frail (CFS ≥ 5) was associated with an increased risk of ICU mortality, but not after adjustment. In older patients (≥ 65 years) there was an independent association with ICU mortality both in the complete case analysis (HR 1.34 (95% CI 1.25-1.44), p < 0.0001) and in the multiple imputation analysis (HR 1.35 (95% CI 1.26-1.45), p < 0.0001, adjusted for SOFA). In older patients, being vulnerable (CFS 4) alone did not significantly differ from being frail. After adjustment, a CFS of 4-5, 6, and ≥ 7 was associated with a significantly worse outcome compared to CFS of 1-3. CONCLUSIONS Being frail is associated with a significantly increased risk for ICU mortality in older patients, while being vulnerable alone did not significantly differ. New Frailty categories might reflect its "continuum" better and predict ICU outcome more accurately. TRIAL REGISTRATION Open Science Framework (OSF: https://osf.io/8buwk/ ).
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Affiliation(s)
- Raphael Romano Bruno
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany
| | - Bernhard Wernly
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical Private University, Paracelsusstraße 37, 5110, Oberndorf, Austria
- Institute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, 2-124 Clinical Sciences Building, 8440 112Th ST, Edmonton, AB, T6G 2B7, Canada
| | - Mark van den Boogaard
- Department of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jai N Darvall
- Intensive Care Unit and Department of Anaesthesia & Pain Management, The Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia
| | - Lina De Geer
- Department of Anaesthesiology and Intensive Care, Linköping University Hospital, Linköping, Sweden
| | | | - Daren K Heyland
- Clinical Evaluation Research Unit, and Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada
| | - David Hewitt
- Glasgow Royal Infirmary Intensive Care Unit, Glasgow, Scotland
| | - Aluko A Hope
- Division of Pulmonary, Allergy, and Critical Care Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Emilie Langlais
- Réanimation Chirurgicale, CHU Rennes, Université Rennes 1, Rennes, France
| | - Pascale Le Maguet
- Département d'Anesthésie Réanimation, CHU Rennes, Rennes, France
- Service d'Anesthésie, CH Quimper, Quimper, France
| | - Carmel L Montgomery
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, 2-124 Clinical Sciences Building, 8440 112Th ST, Edmonton, AB, T6G 2B7, Canada
- Faculty of Nursing, University of Alberta, Edmonton Clinic Health Academy, 3-171, Edmonton, AB, T6G 1C9, Canada
| | - Dimitrios Papageorgiou
- Faculty of Health and Caring Sciences Department of Nursing, University of West Attica (UWA) Athens, Egaleo, Greece
| | - Philippe Seguin
- Réanimation Chirurgicale, CHU Rennes, Université Rennes 1, Rennes, France
| | - Wytske W Geense
- Department of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J Alberto Silva-Obregón
- Department of Intensive Care Medicine, Hospital Universitario de Guadalajara, Guadalajara, Spain
| | - Georg Wolff
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany
| | - Amin Polzin
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany
| | - Lisa Dannenberg
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany
| | - Malte Kelm
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany
- CARID (Cardiovascular Research Institute Düsseldorf), University Hospital of Düsseldorf, Germany, Düsseldorf, Germany
| | - Hans Flaatten
- Department of Clinical Medicine, Department of Anaesthesia and Intensive Care, University of Bergen, Haukeland University Hospital, Bergen, Norway
| | - Michael Beil
- Dept. of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Marcus Franz
- Clinic of Internal Medicine I, Department of Cardiology, Friedrich Schiller University, 07737, Jena, Germany
| | - Sigal Sviri
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Susannah Leaver
- General Intensive Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - 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, 75012, Paris, France
- Service de Réanimation Médicale, Hôpitaux de Paris, Hôpital Saint-Antoine, 75012, Paris, France
| | - Ariane Boumendil
- 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, 75012, Paris, France
- Service de Réanimation Médicale, Hôpitaux de Paris, Hôpital Saint-Antoine, 75012, Paris, France
| | - Christian Jung
- Medical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
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Inaba M, Naito H, Yorifuji T, Nakamichi C, Maeyama H, Ishikawa H, Shime N, Uemori S, Ishihara S, Takaoka M, Ohtsuka T, Harada M, Nozaki S, Kohama K, Sakurai R, Sato S, Muramatsu S, Yamashita K, Mayumi T, Aita K, Nakao A. Impact of frailty on long-term mortality in older patients receiving intensive care via the emergency department. Sci Rep 2023; 13:5433. [PMID: 37012346 PMCID: PMC10070345 DOI: 10.1038/s41598-023-32519-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 03/28/2023] [Indexed: 04/05/2023] Open
Abstract
The aim of this study was to evaluate whether frailty was associated with 6-month mortality in older adults who were admitted to the intensive care unit (ICU) with an illness requiring emergency care. The investigation was a prospective, multi-center, observational study conducted among the ICUs of 17 participating hospitals. Patients ≥ 65 years of age who were admitted to the ICU directly from an emergency department visit were assessed to determine their baseline Clinical Frailty Scale (CFS) scores before the illness and were surveyed 6 months after admission. Among 650 patients included in the study, the median age was 79 years old, and overall mortality at 6 months was as low as 21%, ranging from 6.2% in patients with CFS 1 to 42.9% in patients with CFS ≥ 7. When adjusted for potential confounders, CFS score was an independent prognostic factor for mortality (one-point increase in CFS, adjusted risk ratio with 95% confidence interval 1.19 [1.09-1.30]). Quality of life 6 months after admission worsened as baseline CFS score increased. However, there was no association between total hospitalization cost and baseline CFS. CFS is an important predictor of long-term outcomes among critically ill older patients requiring emergent admission.
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Affiliation(s)
- Mototaka Inaba
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata, Okayama, 700-8558, Japan.
| | - Hiromichi Naito
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata, Okayama, 700-8558, Japan.
| | - Takashi Yorifuji
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan
| | - Chikaaki Nakamichi
- Advanced Emergency and Critical Care Center, National Hospital Organization, Nagasaki Medical Center, Omura, Japan
| | - Hiroki Maeyama
- Emergency and Critical Care Center, Tsuyama Chuo Hospital, Tsuyama, Japan
| | - Hideki Ishikawa
- Trauma and Resuscitation Center, Teikyo University Hospital, Tokyo, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Sadayori Uemori
- Department of Emergency, Yodogawa Christian Hospital, Osaka, Japan
| | - Satoshi Ishihara
- Department of Emergency and Critical Care, Hyogo Emergency Medical Center, Kobe, Japan
| | - Makoto Takaoka
- Acute Care Division, Harima-Himeji General Medical Center, Himeji, Japan
| | - Tsuyoshi Ohtsuka
- Emergency Department, National Hospital Organization Yokohama Medical Center, Yokohama, Japan
| | - Masahiro Harada
- Department of Emergency and Critical Care, National Hospital Organization Kumamoto Medical Center, Kumamoto, Japan
| | - Satoshi Nozaki
- Emergency Department, Okayama Saiseikai General Hospital, Okayama, Japan
| | - Keisuke Kohama
- Department of Emergency, Disaster, and Critical Care Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Ryota Sakurai
- Department of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Shuho Sato
- Emergency Medical Center, Saiseikai Senri Hospital, Suita, Japan
| | - Shun Muramatsu
- Emergency Department, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Kazunori Yamashita
- Acute and Critical Care Center, Nagasaki University Hospital, Nagasaki, Japan
| | - Toshihiko Mayumi
- Department of Emergency Medicine, University of Occupational and Environmental Health Hospital, Kitakyushu, Japan
| | - Kaoruko Aita
- Uehiro Division, Center for Death and Life Studies and Practical Ethics, Graduate School of Humanities and Sociology, University of Tokyo, Tokyo, Japan
| | - Atsunori Nakao
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata, Okayama, 700-8558, Japan
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8
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Riad HM, Boulton AJ, Slowther AM, Bassford C. Investigating the impact of brief training in decision-making on treatment escalation to intensive care using objective structured clinical examination-style scenarios. J Intensive Care Soc 2023; 24:53-61. [PMID: 36874284 PMCID: PMC9975798 DOI: 10.1177/17511437221105979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background The decision to admit patients to the intensive care unit (ICU) is complex. Structuring the decision-making process may be beneficial to patients and decision-makers alike. The aim of this study was to investigate the feasibility and impact of a brief training intervention on ICU treatment escalation decisions using the Warwick model- a structured decision-making framework for treatment escalation decisions. Methods Treatment escalation decisions were assessed using Objective Structured Clinical Examination-style scenarios. Participants were ICU and anaesthetic registrars with experience of making ICU admission decisions. Participants completed one scenario, followed by training with the decision-making framework and subsequently a second scenario. Decision-making data was collected using checklists, note entries and post-scenario questionnaires. Results Twelve participants were enrolled. Brief decision-making training was successfully delivered during the normal ICU working day. Following training participants demonstrated greater evidence of balancing the burdens and benefits of treatment escalation. On visual analogue scales of 0-10, participants felt better trained to make treatment escalation decisions (4.9 vs 6.8, p = 0.017) and felt their decision-making was more structured (4.7 vs 8.1, p = 0.017).Overall, participants provided positive feedback and reported feeling more prepared for the task of making treatment escalation decisions. Conclusion Our findings suggest that a brief training intervention is a feasible way to improve the decision-making process by improving decision-making structure, reasoning and documentation. Training was implemented successfully, acceptable to participants and participants were able to apply their learning. Further studies of regional and national cohorts are needed to determine if training benefit is sustained and generalisable.
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Affiliation(s)
- Hisham M Riad
- Department of Anaesthesia, Critical Care and Pain, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Adam J Boulton
- Academic Department of Anaesthesia, Critical Care, Pain and Resuscitation, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, UK.,Warwick Medical School, University of Warwick, Coventry, UK
| | | | - Christopher Bassford
- Department of Anaesthesia, Critical Care and Pain, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK
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Haakenstad A, Yearwood JA, Fullman N, Bintz C, Bienhoff K, Weaver MR, Nandakumar V, LeGrand KE, Knight M, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abeldaño Zuñiga RA, Adedeji IA, Adekanmbi V, Adetokunboh OO, Afzal MS, Afzal S, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmadi A, Ahmadi S, Ahmed A, Ahmed Rashid T, Aji B, Akande-Sholabi W, Alam K, Al Hamad H, Alhassan RK, Ali L, Alipour V, Aljunid SM, Ameyaw EK, Amin TT, Amu H, Amugsi DA, Ancuceanu R, Andrade PP, Anjum A, Arabloo J, Arab-Zozani M, Ariffin H, Arulappan J, Aryan Z, Ashraf T, Atnafu DD, Atreya A, Ausloos M, Avila-Burgos L, Ayano G, Ayanore MA, Azari S, Badiye AD, Baig AA, Bairwa M, Bakkannavar SM, Baliga S, Banik PC, Bärnighausen TW, Barra F, Barrow A, Basu S, Bayati M, Belete R, Bell AW, Bhagat DS, Bhagavathula AS, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhattacharyya K, Bhurtyal A, Bhutta ZA, Bibi S, Bijani A, Bikbov B, Biondi A, Bolarinwa OA, Bonny A, Brenner H, Buonsenso D, Burkart K, Busse R, Butt ZA, Butt NS, Caetano dos Santos FL, Cahuana-Hurtado L, Cámera LA, Cárdenas R, Carneiro VLA, Catalá-López F, Chandan JS, Charan J, Chavan PP, Chen S, Chen S, Choudhari SG, Chowdhury EK, Chowdhury MAK, Cirillo M, Corso B, Dadras O, Dahlawi SMA, Dai X, Dandona L, Dandona R, Dangel WJ, Dávila-Cervantes CA, Davletov K, Deuba K, Dhimal M, Dhimal ML, Djalalinia S, Do HP, Doshmangir L, Duncan BB, Effiong A, Ehsani-Chimeh E, Elgendy IY, Elhadi M, El Sayed I, El Tantawi M, Erku DA, Eskandarieh S, Fares J, Farzadfar F, Ferrero S, Ferro Desideri L, Fischer F, Foigt NA, Foroutan M, Fukumoto T, Gaal PA, Gaihre S, Gardner WM, Garg T, Getachew Obsa A, Ghafourifard M, Ghashghaee A, Ghith N, Gilani SA, Gill PS, Goharinezhad S, Golechha M, Guadamuz JS, Guo Y, Gupta RD, Gupta R, Gupta VK, Gupta VB, Hamiduzzaman M, Hanif A, Haro JM, Hasaballah AI, Hasan MM, Hasan MT, Hashi A, Hay SI, Hayat K, Heidari M, Heidari G, Henry NJ, Herteliu C, Holla R, Hossain S, Hossain SJ, Hossain MBH, Hosseinzadeh M, Hostiuc S, Hoveidamanesh S, Hsieh VCR, Hu G, Huang J, Huda MM, Ifeagwu SC, Ikuta KS, Ilesanmi OS, Irvani SSN, Islam RM, Islam SMS, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Jahani MA, Jahanmehr N, Jain R, Jakovljevic M, Janodia MD, Jayapal SK, Jayaram S, Jha RP, Jonas JB, Joo T, Joseph N, Jürisson M, Kabir A, Kalankesh LR, Kalhor R, Kamath AM, Kamenov K, Kandel H, Kantar RS, Kapoor N, Karanikolos M, Katikireddi SV, Kavetskyy T, Kawakami N, Kayode GA, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khalilov R, Khammarnia M, Khan MN, Khan MAB, Khan M, Khezeli M, Kim MS, Kim YJ, Kisa S, Kisa A, Klymchuk V, Koly KN, Korzh O, Kosen S, Koul PA, Kuate Defo B, Kumar GA, Kusuma D, Kyu HH, Larsson AO, Lasrado S, Lee WC, Lee YH, Lee CB, Li S, Lucchetti G, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Malta DC, Mansournia MA, Mantovani LG, Martinez-Valle A, Martins-Melo FR, Masoumi SZ, Mathur MR, Maude RJ, Maulik PK, McKee M, Mendoza W, Menezes RG, Mensah GA, Meretoja A, Meretoja TJ, Mestrovic T, Michalek IM, Mirrakhimov EM, Misganaw A, Misra S, Moazen B, Mohammadi M, Mohammed S, Moitra M, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradi G, Moreira RS, Mosser JF, Mostafavi E, Mouodi S, Nagarajan AJ, Nagata C, Naghavi M, Nangia V, Narasimha Swamy S, Narayana AI, Nascimento BR, Nassereldine H, Nayak BP, Nazari J, Negoi I, Nepal S, Neupane Kandel S, Ngunjiri JW, Nguyen HLT, Nguyen CT, Ningrum DNA, Noubiap JJ, Oancea B, Oghenetega OB, Oh IH, Olagunju AT, Olakunde BO, Omar Bali A, Omer E, Onwujekwe OE, Otoiu A, Padubidri JR, Palladino R, Pana A, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Pasupula DK, Pathak PK, Patton GC, Pawar S, Pereira J, Pilania M, Piroozi B, Podder V, Pokhrel KN, Postma MJ, Prada SI, Quazi Syed Z, Rabiee N, Radhakrishnan RA, Rahman MM, Rahman M, Rahman M, Rahman MHU, Rahmani AM, Ranabhat CL, Rao CR, Rao SJ, Rasella D, Rawaf S, Rawaf DL, Rawal L, Renzaho AM, Reshmi B, Resnikoff S, Rezapour A, Riahi SM, Ripon RK, Sacco S, Sadeghi M, Saeed U, Sahebkar A, Sahiledengle B, Sahoo H, Sahu M, Salama JS, Salamati P, Samy AM, Sanabria J, Santric-Milicevic MM, Sathian B, Sawhney M, Schmidt MI, Seidu AA, Sepanlou SG, Seylani A, Shaikh MA, Sheikh A, Shetty A, Shigematsu M, Shiri R, Shivakumar KM, Shokri A, Singh JA, Sinha DN, Skryabin VY, Skryabina AA, Sofi-Mahmudi A, Sousa RARC, Stephens JH, Sun J, Szócska M, Tabarés-Seisdedos R, Tadbiri H, Tamiru AT, Thankappan KR, Topor-Madry R, Tovani-Palone MR, Tran MTN, Tran BX, Tripathi N, Tripathy JP, Troeger CE, Uezono DR, Ullah S, Ullah A, Unnikrishnan B, Vacante M, Valadan Tahbaz S, Valdez PR, Vasic M, Veroux M, Vervoort D, Violante FS, Vladimirov SK, Vlassov V, Vo B, Waheed Y, Wamai RG, Wang YP, Wang Y, Ward P, Wiangkham T, Yadav L, Yahyazadeh Jabbari SH, Yamagishi K, Yaya S, Yazdi-Feyzabadi V, Yi S, Yiğit V, Yonemoto N, Younis MZ, Yu C, Yunusa I, Zaman SB, Zastrozhin MS, Zhang ZJ, Zhong C, Zuniga YMH, Lim SS, Murray CJL, Lozano R. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Glob Health 2022; 10:e1715-e1743. [PMID: 36209761 PMCID: PMC9666426 DOI: 10.1016/s2214-109x(22)00429-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 05/13/2022] [Accepted: 09/23/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019. METHODS We distinguished the overall HAQ Index (ages 0-74 years) from scores for select age groups: the young (ages 0-14 years), working (ages 15-64 years), and post-working (ages 65-74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development. FINDINGS Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9-21·3), as well as among the young (22·5, 19·9-24·7), working (17·2, 15·2-19·1), and post-working (15·1, 13·2-17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6-33·0) on average in low-SDI countries to 83·4 (82·4-84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4-89·0), working (33·8-82·8), and post-working (30·4-79·1) groups. Absolute convergence in HAQ Index was estimated in the young group only. In contrast, divergence was estimated among the working and post-working groups, driven by slow progress in low-SDI countries. INTERPRETATION Although major gaps remain across levels of social and economic development, convergence in the young group is an encouraging sign of reduced disparities in health-care access and quality. However, divergence in the working and post-working groups indicates that health-care access and quality is lagging at lower levels of social and economic development. To meet the needs of ageing populations, health systems need to improve health-care access and quality for working-age adults and older populations while continuing to realise gains among the young. FUNDING Bill & Melinda Gates Foundation.
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Earp MA, Fassbender K, King S, Douglas M, Biondo P, Brisebois A, Davison SN, Sia W, Wasylenko E, Esau L, Simon J. Association between Goals of Care Designation orders and health care resource use among seriously ill older adults in acute care: a multicentre prospective cohort study. CMAJ Open 2022; 10:E945-E955. [PMID: 36319025 PMCID: PMC9633054 DOI: 10.9778/cmajo.20210155] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The Goals of Care Designation (GCD) is a medical order used to communicate the focus of a patient's care in Alberta, Canada. In this study, we aimed to determine the association between GCD type (resuscitative, medical or comfort) and resource use during hospitalization. METHODS This was a prospective cohort study of newly hospitalized inpatients in Alberta conducted from January to September 2017. Participants were aged 55 years or older with chronic obstructive pulmonary disease, congestive heart failure, cirrhosis, cancer or renal failure; aged 55-79 years and their provider answered "no" to the "surprise question" (i.e., provider would not be surprised if the patient died in the next 6 months); or aged 80 years or older with any acute condition. The exposure of interest was GCD. The primary outcome was health care resource use during admission, measured by length of stay (LOS), intensive care unit hours, Resource Intensity Weights (RIWs), flagged interventions and palliative care referral. The secondary outcome was 30-day readmission. Adjusted regression analyses were performed (adjusted for age, sex, race and ethnicity, Clinical Frailty Scale score, comorbidities and city). RESULTS We included 475 study participants. The median age was 83 (interquartile range 77-87) years, and 93.7% had a GCD at enrolment. Relative to patients with the resuscitative GCD type, patients with the medical GCD type had a longer LOS (1.42 times, 95% confidence interval [CI] 1.10-1.83) and a higher RIW (adjusted ratio 1.14, 95% CI 1.02-1.28). Patients with the comfort and medical GCD types had more palliative care referral (comfort GCD adjusted relative risk (RR) 9.32, 95% CI 4.32-20.08; medical GCD adjusted RR 3.58, 95% CI 1.75-7.33) but not flagged intervention use (comfort GCD adjusted RR 1.06, 95% CI 0.49-2.28; medical GCD adjusted RR 0.98, 95% CI 0.48-2.02) or 30-day readmission (comfort GCD adjusted RR 1.00, 95% CI 0.85-1.19; medical GCD adjusted RR 1.05, 95% CI 0.97-1.20). INTERPRETATION Goals of Care Designation type early during admission was associated with LOS, RIW and palliative care referral. This suggests an alignment between health resource use and the focus of care communicated by each GCD.
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Affiliation(s)
- Madalene A Earp
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Konrad Fassbender
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Seema King
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Maureen Douglas
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Patricia Biondo
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Amanda Brisebois
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Sara N Davison
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Winnie Sia
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Eric Wasylenko
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - LeAnn Esau
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta
| | - Jessica Simon
- Division of Palliative Medicine, Department of Oncology (Earp), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Fassbender), Grey Nuns Community Hospital, St. Marguerite Health Services Centre; Division of Palliative Care Medicine, Department of Oncology (Fassbender), University of Alberta, Edmonton, Alta.; Department of Community Health Sciences (King), Cumming School of Medicine, University of Calgary; Division of Palliative Medicine, Department of Oncology (Douglas), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Covenant Health Palliative Institute (Douglas), Grey Nuns Community Hospital, St. Marguerite Health Services Centre, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Biondo), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine and Oncology (Palliative Care) (Brisebois) and Department of Medicine (Davison, Sia), University of Alberta, Edmonton, Alta.; Division of Palliative Medicine, Department of Oncology (Wasylenko), Cumming School of Medicine, University of Calgary, Calgary, Alta.; John Dossetor Health Ethics Centre, Faculty of Medicine and Dentistry (Wasylenko), University of Alberta, Edmonton, Alta.; Alberta Health Services, South Zone Seniors Health Integrated Home Care/Palliative Care (Esau), Edmonton, Alta.; Departments of Oncology, Medicine and Community Health Sciences (Simon), University of Calgary, Calgary, Alta.
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Mao Z, Wen T, Liu X, Chen J, Hu P, Liu C, Liu H, Kang H, Zhang Z, Zhou F. Geriatric Nutritional Risk Index is Associated with Hospital Death in Elderly Patients with Multiple Organ Dysfunction Syndrome: A Retrospective Study Based on the MIMIC-III Database. Front Nutr 2022; 9:834256. [PMID: 35719142 PMCID: PMC9204224 DOI: 10.3389/fnut.2022.834256] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/21/2022] [Indexed: 11/18/2022] Open
Abstract
Purpose Elderly patients with multiple organ dysfunction syndrome (MODS) have a higher mortality during hospitalization in the intensive care unit (ICU). Elderly patients often suffer from malnutrition. On the basis of the MIMIC-III database, this study analyzed the effect of the baseline nutritional status on the death of elderly patients with MODS during hospitalization. Materials and Methods Elderly patients with MODS were screened out from MIMIC-III 1.4 database. The geriatric nutritional risk index (GNRI) was calculated and used to group patients into: normal nutrition (GNRI > 98) and malnutrition (GNRI ≤ 98) groups. The malnutrition group was divided into mild (92–98), moderate (82–91), and severe (≤81) groups. The differences in the baseline data and the incidence of adverse events between groups were compared. The GAM model was used to determine whether a curve relationship was present between the hospital death of elderly patients with MODS and GNRI and analyze the threshold saturation effect. The multivariate logistic regression was used to calculate the odds ratio (OR) of in-hospital deaths in different GNRI groups. The interaction test was performed to find subgroups with differences. Results A total of 2456 elderly patients with MODS were enrolled. A total of 1,273 (51.8%) and 1183 (48.2%) patients were in the normal nutrition and malnutrition groups, respectively. The mortality rate of patients in the normal nutrition group during hospitalization was lower than that in the malnutrition group (206/1273 vs. 292/1183, X2 = 27.410, P < 0.001; OR = 0.59, 95% CI: 0.48–0.72). The GAM model fitting analysis showed a threshold saturation effect at GNRI = 92. Adjusted OR values with GNRI ≥ 92 began to change to 1, and GNRI and death had no association. At GNRI < 92, high GNRI related to low risk of death. Subgroup analysis of patients with GNRI < 92 showed that the risk of death in elderly male patients was lower than that of female patients. Conclusion GNRI is related to the severity of illness in elderly patients with MODS. At GNRI < 92, moderate to severe malnutrition increases the risk of death in elderly patients with MODS during hospitalization.
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Affiliation(s)
- Zhi Mao
- Department of Critical Care Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Tao Wen
- Department of Critical Care Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Xiaoli Liu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Jinsong Chen
- Department of Gerentology, Zhangzhou Zhengxing Geriatrics Hospital, Zhangzhou, China
| | - Pan Hu
- Department of Critical Care Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Chao Liu
- Department of Critical Care Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Hui Liu
- Department of Critical Care Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Hongjun Kang
- Department of Critical Care Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Zhengbo Zhang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Center for Artificial Intelligence in Medicine, Chinese Peoples Liberation Army General Hospital, Beijing, China
- Department of Biomedical Engineering, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Feihu Zhou
- Department of Critical Care Medicine, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
- *Correspondence: Feihu Zhou
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12
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Fronczek J, Flaatten H, Guidet B, Polok K, Andersen FH, Andrew BY, Artigas A, Beil M, Cecconi M, Christensen S, de Lange DW, Fjølner J, Górka J, Joannidis M, Jung C, Kusza K, Leaver S, Marsh B, Morandi A, Moreno R, Oeyen S, Owczuk R, Agvald-Öhman C, Pinto BB, Rhodes A, Schefold JC, Soliman IW, Valentin A, Walther S, Watson X, Zafeiridis T, Szczeklik W. Short-term mortality of patients ≥80 years old admitted to European intensive care units: an international observational study. Br J Anaesth 2022; 129:58-66. [DOI: 10.1016/j.bja.2022.03.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/27/2022] [Accepted: 03/27/2022] [Indexed: 11/02/2022] Open
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13
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Models of Care in Geriatric Intensive Care—A Scoping Review on the Optimal Structure of Care for Critically Ill Older Adults Admitted in an ICU. Crit Care Explor 2022; 4:e0661. [PMID: 35382113 PMCID: PMC8974598 DOI: 10.1097/cce.0000000000000661] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
A growing proportion of critically ill patients admitted in ICUs are older adults. The need for improving care provided to older adults in critical care settings to optimize functional status and quality of life for survivors is acknowledged, but the optimal model of care remains unknown. We aimed to identify and describe reported models of care.
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14
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Dziegielewski C, Talarico R, Imsirovic H, Qureshi D, Choudhri Y, Tanuseputro P, Thompson LH, Kyeremanteng K. Characteristics and resource utilization of high-cost users in the intensive care unit: a population-based cohort study. BMC Health Serv Res 2021; 21:1312. [PMID: 34872546 PMCID: PMC8647444 DOI: 10.1186/s12913-021-07318-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 11/01/2021] [Indexed: 11/10/2022] Open
Abstract
Background Healthcare expenditure within the intensive care unit (ICU) is costly. A cost reduction strategy may be to target patients accounting for a disproportionate amount of healthcare spending, or high-cost users. This study aims to describe high-cost users in the ICU, including health outcomes and cost patterns. Methods We conducted a population-based retrospective cohort study of patients with ICU admissions in Ontario from 2011 to 2018. Patients with total healthcare costs in the year following ICU admission (including the admission itself) in the upper 10th percentile were defined as high-cost users. We compared characteristics and outcomes including length of stay, mortality, disposition, and costs between groups. Results Among 370,061 patients included, 37,006 were high-cost users. High-cost users were 64.2 years old, 58.3% male, and had more comorbidities (41.2% had ≥3) when likened to non-high cost users (66.1 years old, 57.2% male, 27.9% had ≥3 comorbidities). ICU length of stay was four times greater for high-cost users compared to non-high cost users (22.4 days, 95% confidence interval [CI] 22.0–22.7 days vs. 5.56 days, 95% CI 5.54–5.57 days). High-cost users had lower in-hospital mortality (10.0% vs.14.2%), but increased dispositioning outside of home (77.4% vs. 42.2%) compared to non-high-cost users. Total healthcare costs were five-fold higher for high-cost users ($238,231, 95% CI $237,020–$239,442) compared to non-high-cost users ($45,155, 95% CI $45,046–$45,264). High-cost users accounted for 37.0% of total healthcare costs. Conclusion High-cost users have increased length of stay, lower in-hospital mortality, and higher total healthcare costs when compared to non-high-cost users. Further studies into cost patterns and predictors of high-cost users are necessary to identify methods of decreasing healthcare expenditure. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-07318-y.
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Affiliation(s)
| | | | | | - Danial Qureshi
- ICES, University of Ottawa, Ottawa, Ontario, Canada.,Bruyere Research Institute, Ottawa, Ontario, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Yasmeen Choudhri
- Department of Life Sciences, Queen's University, Kingston, Ontario, Canada
| | - Peter Tanuseputro
- ICES, University of Ottawa, Ottawa, Ontario, Canada.,Bruyere Research Institute, Ottawa, Ontario, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Kwadwo Kyeremanteng
- Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
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15
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Ramedani S, Clark JY, Knoedler JJ, MacDonald S, Kaag MG, Merrill SB, Raman JD. Topical antiseptic at time of transrectal ultrasound prostate biopsy is associated with fewer severe clinical infections and improves antibiotic stewardship. Prostate Int 2021; 9:185-189. [PMID: 35059355 PMCID: PMC8740380 DOI: 10.1016/j.prnil.2021.05.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 04/13/2021] [Accepted: 05/06/2021] [Indexed: 11/16/2022] Open
Abstract
Background The 2017 AUA White Paper on prevention of prostate needle biopsy (PNB) complications highlights an algorithm for reducing procedural related infections. The incorporation of topical rectal antiseptic (TRS) at time of transrectal PNB is listed as one such modality. We present data on over 1000 transrectal PNB procedures to determine the impact of TRS on 1) infectious complications and 2) use of augmented procedural antibiotics. Methods The records of 1181 transrectal PNB procedures performed over a 10-year period were reviewed. In 2013, TRS with either 10% povidone iodine or 4% chlorhexidine was more regularly incorporated into PNB procedures. Clinical and procedural factors were analyzed for association with post-procedure infections. Infectious complications outcomes were compared in patients receiving TRS (n = 566) versus those who had not (n = 615). Results A total of 990 men underwent 1181 transrectal PNB procedures. Median age of the cohort was 63 years with a median PSA of 7 ng/dL. Of them, 86% of the men were Caucasian, 28% had undergone at least one prior biopsy, 14% were diabetic, and 6% had prior hospitalization within 6 months of the procedure. Five hundred sixty-six patients (48%) received TRS at time of biopsy. Perioperative IV adjunctive antibiotics were used less frequently in patients receiving TRS (13.4% vs. 28.6%, p < 0.001). Furthermore, patients receiving TRS experienced lower rates of clinical infections (1.2% vs. 2.4%, p = 0.14), as well as lower likelihood of severe infections evidenced by decreased rates of hospital admission (0.5% vs. 2.3%, p = 0.013). Rectal vault bacteriology obtained before and after TRS was available in 180 men noting a 98.1% decrease in colony counts after local treatment. Conclusions TRS at time of transrectal PNB was associated with decreased use of IV procedural antibiotics as well as decreased severity of infections post-biopsy. This simple technique enhances antibiotic stewardship while simultaneously improving quality outcomes of the procedure.
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16
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Bruno RR, Wernly B, Kelm M, Boumendil A, Morandi A, Andersen FH, Artigas A, Finazzi S, Cecconi M, Christensen S, Faraldi L, Lichtenauer M, Muessig JM, Marsh B, Moreno R, Oeyen S, Öhman CA, Pinto BB, Soliman IW, Szczeklik W, Valentin A, Watson X, Leaver S, Boulanger C, Walther S, Schefold JC, Joannidis M, Nalapko Y, Elhadi M, Fjølner J, Zafeiridis T, De Lange DW, Guidet B, Flaatten H, Jung C. Management and outcomes in critically ill nonagenarian versus octogenarian patients. BMC Geriatr 2021; 21:576. [PMID: 34666709 PMCID: PMC8524896 DOI: 10.1186/s12877-021-02476-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 09/17/2021] [Indexed: 11/10/2022] Open
Abstract
Background Intensive care unit (ICU) patients age 90 years or older represent a growing subgroup and place a huge financial burden on health care resources despite the benefit being unclear. This leads to ethical problems. The present investigation assessed the differences in outcome between nonagenarian and octogenarian ICU patients. Methods We included 7900 acutely admitted older critically ill patients from two large, multinational studies. The primary outcome was 30-day-mortality, and the secondary outcome was ICU-mortality. Baseline characteristics consisted of frailty assessed by the Clinical Frailty Scale (CFS), ICU-management, and outcomes were compared between octogenarian (80–89.9 years) and nonagenarian (> 90 years) patients. We used multilevel logistic regression to evaluate differences between octogenarians and nonagenarians. Results The nonagenarians were 10% of the entire cohort. They experienced a higher percentage of frailty (58% vs 42%; p < 0.001), but lower SOFA scores at admission (6 + 5 vs. 7 + 6; p < 0.001). ICU-management strategies were different. Octogenarians required higher rates of organ support and nonagenarians received higher rates of life-sustaining treatment limitations (40% vs. 33%; p < 0.001). ICU mortality was comparable (27% vs. 27%; p = 0.973) but a higher 30-day-mortality (45% vs. 40%; p = 0.029) was seen in the nonagenarians. After multivariable adjustment nonagenarians had no significantly increased risk for 30-day-mortality (aOR 1.25 (95% CI 0.90–1.74; p = 0.19)). Conclusion After adjustment for confounders, nonagenarians demonstrated no higher 30-day mortality than octogenarian patients. In this study, being age 90 years or more is no particular risk factor for an adverse outcome. This should be considered– together with illness severity and pre-existing functional capacity - to effectively guide triage decisions. Trial registration NCT03134807 and NCT03370692.
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Affiliation(s)
- Raphael Romano Bruno
- Department of Cardiology, Pulmonary Diseases, and Vascular Medicine, Medical Faculty, Heinrich Heine University of Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany
| | - Bernhard Wernly
- Department of Anaesthesiology, Perioperative Medicine and Intensive Care Medicine, Paracelsus Medical University, Salzburg, Austria.,Division of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Malte Kelm
- Department of Cardiology, Pulmonary Diseases, and Vascular Medicine, Medical Faculty, Heinrich Heine University of Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.,Cardiovascular Research Institute Düsseldorf (CARID), Duesseldorf, Germany
| | - Ariane Boumendil
- Service de Réanimation Médicale, Publique-Hôpital de Paris, Hôpital Saint-Antoine, F-75012, Paris, France
| | - Alessandro Morandi
- Department of Rehabilitation Hospital Ancelle di Cremona, Cremona, Italy.,Geriatric Research Group, Brescia, Italy
| | - Finn H Andersen
- Department Of Anaesthesia and Intensive Care, Ålesund Hospital, Ålesund, Norway.,NTNU, Dep of Circulation and Medical Imaging, Trondheim, Norway
| | - Antonio Artigas
- Department of Intensive Care Medicine, CIBERes Corporacion Sanitaria Universitaria Parc Tauli, Barcelona, Spain
| | - Stefano Finazzi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, BG, Italy
| | - Maurizio Cecconi
- Department of Anaesthesia, IRCCS Instituto Clínico Humanitas, Humanitas University, Milan, Italy
| | - Steffen Christensen
- Department of Anaesthesia and Intensive Care Medicine, Aarhus University Hospital, Aarhus, Denmark
| | | | | | - Johanna M Muessig
- Department of Cardiology, Pulmonary Diseases, and Vascular Medicine, Medical Faculty, Heinrich Heine University of Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany
| | - Brian Marsh
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Rui Moreno
- Unidade de Cuidados Intensivos Neurocríticos e Trauma, Faculdade de Ciências Médicas de Lisboa, Hospital de São José, Centro Hospitalar Universitário de Lisboa Central, Nova Médical School, Lisbon, Portugal
| | - Sandra Oeyen
- Department of Intensive Care, 1K12IC Ghent University Hospital, Ghent, Belgium
| | | | | | - Ivo W Soliman
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Wojciech Szczeklik
- Intensive Care and Perioperative Medicine Division, Jagiellonian University Medical College, Kraków, Poland
| | | | | | - Susannah Leaver
- Research Lead Critical Care Directorate St George's Hospital, London, UK
| | - Carole Boulanger
- NAHP Committee ESICM, Intensive Care Unit, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - Sten Walther
- Linkoping University Hospital, Linkoping, Sweden
| | - Joerg C Schefold
- Department of Intensive Care Medicine, Inselspital, Universitätsspital, University of Bern, Bern, Switzerland
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Yuriy Nalapko
- European Wellness International, ICU, Luhansk, Ukraine
| | | | - Jesper Fjølner
- Department of Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | | | - Dylan W De Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Bertrand Guidet
- Service de Réanimation Médicale, Publique-Hôpital de Paris, Hôpital Saint-Antoine, F-75012, Paris, France.,Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, F-75013, Paris, France.,INSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, F-75013, Paris, France
| | - Hans Flaatten
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Anaestesia and Intensive Care, Haukeland University Hospital, Bergen, Norway
| | - Christian Jung
- Department of Cardiology, Pulmonary Diseases, and Vascular Medicine, Medical Faculty, Heinrich Heine University of Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
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17
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Zhang X, Zhang W, Lou H, Luo C, Du Q, Meng Y, Wu X, Zhang M. Risk factors for prolonged intensive care unit stays in patients after cardiac surgery with cardiopulmonary bypass: A retrospective observational study. Int J Nurs Sci 2021; 8:388-393. [PMID: 34631988 PMCID: PMC8488808 DOI: 10.1016/j.ijnss.2021.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/28/2021] [Accepted: 09/02/2021] [Indexed: 11/26/2022] Open
Abstract
Objectives Patients after cardiac surgery with cardiopulmonary bypass (CPB) require a stay in the ICU postoperatively. This study aimed to investigate the incidence of prolonged length of stay (LOS) in the ICU after cardiac surgery with CPB and identify associated risk factors. Methods The current investigation was an observational, retrospective study that included 395 ICU patients who underwent cardiac surgery with CPB at a tertiary hospital in Guangzhou from June 2015 to June 2017. Data were obtained from the hospital database. Binary logistic regression modeling was used to analyze risk factors for prolonged ICU LOS. Results Of 395 patients, 137 (34.7%) had a prolonged ICU LOS (>72.0 h), and the median ICU LOS was 50.9 h. Several variables were found associated with prolonged ICU LOS: duration of CPB, prolonged mechanical ventilation and non-invasive assisted ventilation use, PaO2/FiO2 ratios within 6 h after surgery, type of surgery, red blood cell infusion during surgery, postoperative atrial arrhythmia, postoperative ventricular arrhythmia (all P < 0.05). Conclusions These findings are clinically relevant for identifying patients with an estimated prolonged ICU LOS, enabling clinicians to facilitate earlier intervention to reduce the risk and prevent resulting delayed recovery.
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Affiliation(s)
- Xueying Zhang
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
| | - Wenxia Zhang
- Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Hongyu Lou
- Digestive Disease Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Chuqing Luo
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
| | - Qianqian Du
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
| | - Ya Meng
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
| | - Xiaoyu Wu
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
| | - Meifen Zhang
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
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18
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Schouela N, Kyeremanteng K, Thompson LH, Neilipovitz D, Shamy M, D'Egidio G. Cost of Futile ICU Care in One Ontario Hospital. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2021; 58:469580211028577. [PMID: 34218711 PMCID: PMC8261843 DOI: 10.1177/00469580211028577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Critical care is a costly and finite resource that provides the ability to manage
patients with life-threatening illnesses in the most advanced forms available.
However, not every condition benefits from critical care. There are
unrecoverable health states in which it should not be used to perpetuate. Such
situations are considered futile. The determination of medical futility remains
controversial. In this study we describe the length of stay (LOS), cost, and
long-term outcomes of 12 cases considered futile and that have been or were
considered for adjudication by Ontario’s Consent and Capacity Board (CBB). A
chart review was undertaken to identify patients admitted to the Intensive Care
Unit (ICU), whose care was deemed futile and cases were considered for, or
brought before the CCB. Costs for each of these admissions were determined using
the case-costing system of The Ottawa Hospital Data Warehouse. All 12 patients
identified had a LOS of greater than 4 months (range: 122-704 days) and a median
age 83.5 years. Seven patients died in hospital, while 5 were transferred to
long term or acute care facilities. All patients ultimately died without
returning to independent living situations. The total cost of care for these 12
patients was $7 897 557.85 (mean: $658 129.82). There is a significant economic
cost of providing resource-intensive critical care to patients in which these
treatments are considered futile. Clinicians should carefully consider the
allocation of finite critical care resources in order to utilize them in a way
that most benefits patients.
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Affiliation(s)
| | | | | | | | - Michel Shamy
- University of Ottawa, Ottawa, ON, Canada.,Ottawa Hospital Research Institute, Ottawa, ON, Canada
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19
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Yang MC, Wang YC, Chen IS, Huang WC. Thickness of rectus abdominis measured by ultrasound in critically ill patients after abdominal surgery: A retrospective cohort study. Eur J Anaesthesiol 2021; 38:684-691. [PMID: 33399371 DOI: 10.1097/eja.0000000000001407] [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: 11/26/2022]
Abstract
BACKGROUND Early identification of patients at high risk of prolonged mechanical ventilation is important in critical care. Sarcopenia, the loss of muscle mass and function, has been reported to be associated with extended mechanical ventilation and prolonged ICU stay. Although ultrasound is noninvasive and widely used in critical care, there is no standard method of using it to assess sarcopenia. OBJECTIVES The study aims to investigate the relationship between outcomes of critically ill patients and the ratio of BMI to the thickness of rectus abdominis measured by a standardised ultrasound examination. DESIGN A retrospective cohort study. SETTING Surgical ICU of a tertiary referral hospital, from October 2017 to June 2018. The thickness of rectus abdominis (RA) was measured while performing extended focused assessment sonography for trauma. BMI was divided by the thickness of rectus abdominis over the upper abdomen to derive the BMI-RA thickness ratio. PATIENTS Sixteen male and 11 female patients admitted to ICU after major abdominal surgery. MAIN OUTCOME MEASURES The primary outcome was in-hospital mortality, and the secondary outcomes were durations of mechanical ventilation, ICU stay and hospital stay. The disease severity, serum albumin level and BMI-RA thickness ratio were also analysed. RESULTS Ultrasound measurement was easy to perform without adverse effects. The BMI-RA thickness ratio was significantly higher in nonsurvivors and was associated with ICU stay, hospital stay and duration of mechanical ventilation. Multivariable logistic regression showed that the BMI-RA thickness ratio was a predictor of in-hospital mortality. CONCLUSION The BMI-RA thickness ratio is related to the outcomes of patients transferred to ICU after major abdominal surgery. Measuring the thickness of rectus abdominis by ultrasound is well tolerated and easy to perform in surgical ICU. Larger prospective studies are required to confirm current findings.
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Affiliation(s)
- Ming-Chieh Yang
- From the Division of Critical Care Medicine, E-Da Cancer Hospital (M-CY), Department of Surgery, Kaohsiung Veterans General Hospital (I-SC), Department of Critical Care Medicine, Kaohsiung Veterans General Hospital (Y-CW, W-CH), School of Medicine, National Yang-Ming University (M-CY, W-CH) and Department of Physical Therapy, Fooyin University, Kaohsiung, Taiwan (W-CH)
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20
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Noritomi DT, Ranzani OT, Ferraz LJR, Dos Santos MC, Cordioli E, Albaladejo R, Serpa Neto A, Correa TD, Berwanger O, de Morais LC, Schettino G, Cavalcanti AB, Rosa RG, Biondi RS, Salluh JI, Azevedo LCP, Pereira AJ. TELE-critical Care verSus usual Care On ICU PErformance (TELESCOPE): protocol for a cluster-randomised clinical trial on adult general ICUs in Brazil. BMJ Open 2021; 11:e042302. [PMID: 34155070 PMCID: PMC8217943 DOI: 10.1136/bmjopen-2020-042302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION Daily multidisciplinary rounds (DMRs) consist of systematic patient-centred discussions aiming to establish joint therapeutic goals for the next 24 hours of intensive care unit (ICU) care. The aim of the present study protocol is to evaluate whether an intervention consisting of guided DMRs, supported by a remote specialist and audit/feedback on care performance will reduce ICU length of stay compared with a control group. METHODS AND ANALYSIS A multicentre, controlled, cluster-randomised superiority trial including 30 ICUs in Brazil (15 intervention and 15 control), from August 2019 to June 2021. In a parallel assignment, ICUs are randomised to a complex-intervention composed by daily rounds carried out through Tele-ICU by a remote ICU physician; development of local quality indicators dashboards coupled with monthly meetings with local leadership; and dissemination of evidence-based clinical protocols versus usual care. Primary outcome is ICU length of stay. Secondary outcomes include classification of the unit according to the profiles defined by the standardised resource use and the standardised mortality rate, hospital mortality, incidence of healthcare-associated infections, ventilator-free days at 28 days, patient-days receiving oral or enteral feeding, patient-days under light sedation or alert and calm, rate of patients under normoxaemia. All adult patients admitted after the beginning of the study in each participant ICU will be enrolled. Inclusion criteria (clusters): public Brazilian ICUs with a minimum of 8 ICU beds interested/committed to participating in the study. Exclusion criteria (clusters): units with fully established DMRs by an intensivist, specialised or step-down units. ETHICS AND DISSEMINATION The study protocol was approved by the institutional review board (IRB) of the coordinator centre, and by IRBs of each enrolled hospital/ICU. Statistical analysis protocol is being prepared for submission before the end of patient's enrolment. Results will be disseminated through conferences, peer-reviewed journals and to each participating unit. TRIAL REGISTRATION NUMBER NCT03920501; Pre-results.
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Affiliation(s)
- Danilo Teixeira Noritomi
- Critical Care Medicine, Hospital Israelita Albert Einstein, Sao Paulo, SP, Brazil
- Clinical Governance, DASA, Sao Paulo, Brazil
- Telemedicine, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Otavio T Ranzani
- Pulmonary Division, Heart Institute, Hospital das Clinicas, Universidade de Sao Paulo Faculdade de Medicina Hospital das Clinicas, Sao Paulo, SP, Brazil
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Catalunya, Spain
| | | | - Maura C Dos Santos
- Critical Care Medicine, Hospital Israelita Albert Einstein, Sao Paulo, SP, Brazil
- Telemedicine, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Eduardo Cordioli
- Telemedicine, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | - Ary Serpa Neto
- Critical Care Medicine, Hospital Israelita Albert Einstein, Sao Paulo, SP, Brazil
- Brazilian Research in Intensive Care Network - BRICNET, São Paulo, SP, Brazil
| | - Thiago D Correa
- Critical Care Medicine, Hospital Israelita Albert Einstein, Sao Paulo, SP, Brazil
- Brazilian Research in Intensive Care Network - BRICNET, São Paulo, SP, Brazil
| | - Otávio Berwanger
- Academic Research Organization, Hospital Israelita Albert Einstein, Sao Paulo, São Paulo, Brazil
| | - Lubia Caus de Morais
- Critical Care Medicine, Hospital Israelita Albert Einstein, Sao Paulo, SP, Brazil
| | - Guilherme Schettino
- Institute of Social Responsibility, Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Alexandre Biasi Cavalcanti
- Brazilian Research in Intensive Care Network - BRICNET, São Paulo, SP, Brazil
- HCor Research Institute, Sao Paulo, SP, Brazil
| | - Regis Goulart Rosa
- Brazilian Research in Intensive Care Network - BRICNET, São Paulo, SP, Brazil
- Intensive Care, HMV, Porto Alegre, Rio Grande do Sul, Brazil
| | - Rodrigo Santos Biondi
- Instituto de Cardiologia do Distrito Federal, Brasília, Distrito Federal, Brazil
- Hospital Brasília, Brasília, DF, Brazil
| | - Jorge If Salluh
- Brazilian Research in Intensive Care Network - BRICNET, São Paulo, SP, Brazil
- Department of Critical Care and Graduate Program in Translational Medicine, D'Or Institute for Research and Education, Rio de Janeiro, Brazil, Rio de Janeiro, Brazil
| | - Luciano Cesar Pontes Azevedo
- Brazilian Research in Intensive Care Network - BRICNET, São Paulo, SP, Brazil
- Intensive Care Unit, Hospital Sírio-Libanês, São Paulo, SP, Brazil
- Emergency Medicine Department, University of Sao Paulo, Sao Paulo, São Paulo, Brazil
| | - Adriano Jose Pereira
- Critical Care Medicine, Hospital Israelita Albert Einstein, Sao Paulo, SP, Brazil
- Telemedicine, Hospital Israelita Albert Einstein, São Paulo, Brazil
- Postgraduate Program of Health Sciences, Universidade Federal de Lavras, Lavras, MG, Brazil
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Zhou D, Li Z, Shi G, Zhou J. Effect of heart rate on hospital mortality in critically ill patients may be modified by age: a retrospective observational study from large database. Aging Clin Exp Res 2021; 33:1325-1335. [PMID: 32638341 DOI: 10.1007/s40520-020-01644-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 06/25/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Heart rate has been found associated with mortality in critically ill patients. However, whether the association differs between the elderly and non-elderly patients was unknown. METHODS We conducted a retrospective observational study of adult patients admitted to the intensive care unit (ICU) in the United States. Demographic, vital signs, laboratory tests, and interventions were extracted and compared between the elderly and non-elderly patients. The main exposure was heart rate, the proportion of time spent in heart rate (PTS-HR) was calculated. The primary outcome was hospital mortality. The multivariable logistic regression model was performed to assess the relationship between PTS-HR and hospital mortality, and interaction between PTS-HR and age categories was explored. RESULTS 104,276 patients were included, of which 52,378 (50.2%) were elderly patients and 51,898 (49.8%) were non-elderly patients. The median age was 66 (IQR 54-76) years. After adjusting for confounders, PTS-HR < 60 beats per minute (bpm) (OR 0.972, 95% CI [0.945, 0.998], p = 0.031, Pinteraction = 0.001) and 60-80 bpm (OR 0.925, 95% CI [0.912, 0.938], p < 0.001, Pinteraction = 0.553) were associated with decreased risk of mortality; PTS-HR 80-100 bpm was associated with decreased mortality in the non-elderly patients (OR 0.955, 95% CI [0.941,0.975], p < 0.001) but was associated with increased mortality in the very elderly patients (OR 1.018, 95% CI [1.003,1.029], p = 0.017, Pinteraction < 0.001). PTS-HR > 100 bpm (OR 1.093, 95% CI [1.081,1.105], p < 0.001, Pinteraction = 0.004) was associated with increased mortality. CONCLUSIONS The effect of heart rate on hospital mortality differs between the elderly and non-elderly critically ill patients.
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Grabda M, Lim FA. Palliative Care Consult Among Older Adult Patients in Intensive Care Units: An Integrative Review. Crit Care Nurs Q 2021; 44:248-262. [PMID: 33595971 DOI: 10.1097/cnq.0000000000000358] [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: 11/26/2022]
Abstract
A review of the literature indicates that there are many benefits of palliative care consultations for patients in the intensive care unit (ICU). Patients who received palliative care treatment were found to have a better emotional state, received less invasive procedures, and had a shorter ICU length of stay. It is noted that patients who could benefit from palliative care treatments may not be identified due to failures to meet the criteria for palliative care consultations. A culture change is needed to improve palliative services, and to standardize when and how it is used.
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Affiliation(s)
- Marina Grabda
- New York University Langone Health Hospital (Ms Grabda); and NYU Meyers College of Nursing, New York (Dr Lim)
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Mayr FB, Plowman JL, Blakowski S, Sell-Shemansky K, Young JM, Yende S. Feasibility of a Home-Based Palliative Care Intervention for Elderly Multimorbid Survivors of Critical Illness. Am J Crit Care 2021; 30:e12-e31. [PMID: 33385209 DOI: 10.4037/ajcc2021117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND Elderly patients frequently experience deteriorating health after critical illness, which may threaten their independence and predispose them to unplanned hospital readmissions and premature death. OBJECTIVES To evaluate the operational feasibility of a 90-day home-based palliative care intervention in multimorbid elderly Veteran survivors of critical illness. METHODS A multidisciplinary home-based palliative care intervention was provided for multimorbid elderly veterans who were discharged home after admission to the intensive care unit for sepsis, pneumonia, heart failure, or exacerbation of chronic obstructive lung disease. RESULTS Fifteen patients enrolled in the study, 11 (73%) of whom completed all visits; thus the prespecified goal of >70% completion was met. Median (interquartile range [IQR]) age of the patients was 76 (69-87) years. Participants had a median (IQR) of 8 (7-8) concurrent chronic health conditions, were moderately debilitated at baseline, and were all male. The median (IQR) time to the first study visit was 8 (5-12) days. Patients had a median (IQR) of 8 (5-11) in-home visits and 6 (3-7) telephone encounters during the 90-day study period. Nurses spent a median (IQR) cumulative time of 330 (240-585) minutes on home visits and 30 (10-70) minutes on telephone visits. The median (IQR) time per home provider visit was 90 (75-90) minutes. We estimated the median (IQR) cost per patient to be $2321 ($1901-$3331). CONCLUSION A comprehensive home-based palliative care intervention is operationally feasible in elderly multi-morbid survivors of critical illness and may result in improved physical functioning and quality of life and fewer unplanned emergency department visits.
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Affiliation(s)
- Florian B. Mayr
- Florian B. Mayr is a staff physician, Critical Care Service Line, VA Pittsburgh Healthcare System, and an assistant professor, Clinical Research, Investigation, and Modeling of Acute Illness Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Judith L. Plowman
- Judith L. Plowman is a staff physician, Community Based Care Service Line, VA Pittsburgh Healthcare System
| | - Sandra Blakowski
- Sandra Blakowski is a section chief, Medicine Service Line, Division of Palliative Care and Hospice, VA Pittsburgh Healthcare System
| | - Kimberly Sell-Shemansky
- Kimberly Sell-Shemansky is a vice-president, Community Based Care Service Line, VA Pittsburgh Healthcare System
| | - Joleene M. Young
- Joleene M. Young is a nurse practitioner, Critical Care Service Line, VA Pittsburgh Healthcare System
| | - Sachin Yende
- Sachin Yende is a vice-president, Critical Care Service Line, VA Pittsburgh Healthcare System, and a professor, Clinical Research, Investigation, and Modeling of Acute Illness Center, Department of Critical Care Medicine, University of Pittsburgh
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Hill A, Heyland DK, Rossaint R, Arora RC, Engelman DT, Day AG, Stoppe C. Longitudinal Outcomes in Octogenarian Critically Ill Patients with a Focus on Frailty and Cardiac Surgery. J Clin Med 2020; 10:jcm10010012. [PMID: 33374545 PMCID: PMC7793078 DOI: 10.3390/jcm10010012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/13/2020] [Accepted: 12/21/2020] [Indexed: 02/07/2023] Open
Abstract
Cardiac surgery (CSX) can be lifesaving in elderly patients (age ≥ 80 years) but may still be associated with complications and functional decline. Frailty represents a determinant to outcomes in critically ill patients, but little is known about its influence on elderly CSX-patients. This is a secondary exploratory analysis of a multi-center, prospective observational cohort study of 610 elderly patients admitted to the ICU and followed for one year to document long-term outcomes. CSX-ICU-patients (n = 49) were compared to surgical ICU patients (n = 184) with regard to demographics, frailty, and outcomes. Of all surgical patients, 102 (43%) were considered vulnerable or frail. The subdistribution hazard ratio (SHR) of time to discharge home (TTDH) for vulnerable/frail vs. fit/well patients was 0.54 (95% confidence interval (CI), 0.34, 0.86, p = 0.007). The p-value for effect modification between surgery group (CSX vs. surgical ICU patients) and Clinical Frailty Scale (CFS) group was not significant (p = 0.37) suggesting that the observed difference in the CFS effect between the CSX and surgical ICU patients is consistent with random error. A further subgroup analysis shows that among surgical ICU patients, the SHR of time to discharge home (TTDH) for vulnerable/frail vs. fit/well patients was 0.49 (95% CI, 0.29, 0.83) while the corresponding SHR for CSX patients was 0.77 (0.32–1.88). In conclusion, preoperative frailty reduced the rate of discharge to home in both surgical and CSX patients, but a larger sample of CSX patients is needed to adequately address this question in this patient group.
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Affiliation(s)
- Aileen Hill
- Department of Intensive Care Medicine, University Hospital RWTH, D-52074 Aachen, Germany
- 3CARE—Cardiovascular Critical Care & Anesthesia Evaluation and Research, D-52074 Aachen, Germany
- Correspondence: (A.H.); (C.S.)
| | - Daren K. Heyland
- Clinical Evaluation Research Unit, Department of Critical Care Medicine, Queen’s University, Kingston General Hospital, Kingston, ON K7L 2V7, Canada;
| | - Rolf Rossaint
- Department of Anesthesiology, University Hospital RWTH, D-52074 Aachen, Germany;
| | - Rakesh C. Arora
- Section of Cardiac Surgery, Department of Surgery, Max Rady College of Medicine, Winnipeg, MB R2H 2A6, Canada;
| | - Daniel T. Engelman
- Heart and Vascular Program, Baystate Health, Medical School-Baystate, University of Massachusetts, Springfield, MA 01199, USA;
| | - Andrew G. Day
- KGH Research Institute, Kingston Health Sciences Centre, Kingston, ON K7L 2V7, Canada;
| | - Christian Stoppe
- 3CARE—Cardiovascular Critical Care & Anesthesia Evaluation and Research, D-52074 Aachen, Germany
- Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Würzburg, 97080 Würzburg, Germany
- Correspondence: (A.H.); (C.S.)
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Long term outcomes for elderly patients after emergency intensive care admission: A cohort study. PLoS One 2020; 15:e0241244. [PMID: 33119649 PMCID: PMC7595304 DOI: 10.1371/journal.pone.0241244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 10/11/2020] [Indexed: 11/19/2022] Open
Abstract
Background Elderly patients (≥ 80 years of age) surviving an episode of critical illness suffer long-term morbidity and risk of mortality. Identifying high risk groups could assist in informing discussions with patients and families. Aim To determine factors associated with long-term survival following ICU admission. Design A cohort study of patients aged ≥ 80 years of age admitted to the ICU as an emergency. Methods Patients admitted from January 2010 to December 2018 were included in the study. Primary outcome was five year survival. Mortality was assessed using a multivariable flexible parametric survival analysis adjusted for demographics, and clinically relevant covariates. Results There were 828 patients. Mean age was 84 years (SD 3.2) and 419 (51%) were male. Patients were categorised into medical (423 (51%)) and surgical (405 (49%)) admissions. Adjusted hazard ratios (aHR) for mortality were highest for serum lactate (>8 mmol/l aHR 2.56 (C.I. 1.79–3.67)), lowest systolic blood pressure (< 70 mmHg aHR 2.04 (C.I. 1.36–3.05)) and pH (< 7.05 aHR 4.70 (C.I 2.67–8.21)). There were no survivors beyond one year with severe abnormalities of pH and lactate (< 7.05 and > 8 mmol/l respectively). Relative survival for medical patients was below that expected for the general population for the duration of the study. Conclusion Overall five-year survival was 27%. For medical and surgical patients it was 19% and 35% respectively. Survival at 30 days and one year was 61% and 46%. The presence of features of circulatory shock predicted poor short and long term survival.
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Clinical characteristics and cost of hospital stay of octogenarians and nonagenarians in intensive care nephrology unit. Int Urol Nephrol 2020; 53:147-153. [PMID: 32949335 DOI: 10.1007/s11255-020-02647-z] [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: 04/30/2020] [Accepted: 09/07/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE As the population gets older, the elderly and very elderly patients are increasingly been treated in nephrology intensive care units (ICU). In this study we evaluated the characteristics and outcomes of the octogenarians (80-89 years old), nonagenarians (≥ 90 years old) and compared them with elderly (65-79 years old) patients treated in nephrology ICU. METHODS Eighteen nonagenarians, 70 octogenarians and 88 elderly patients were included in the study. Indication for hospitalization, presence of comorbid diseases, and requirement for acute dialysis treatment were investigated. Need for mechanical ventilation, vasopressors, central venous catheterization, urinary catheterization, anticoagulation, and transfusion of blood products were evaluated. Mortality rate and hospital cost were calculated. Data about survival at 1 month after discharge was collected. RESULTS Causes of hospitalization, need for dialysis treatment, mechanical ventilation, vasopressors, central venous catheterization, urinary catheterization, anticoagulation, and transfusion of blood products were not different between age groups. Diabetes mellitus and malignancy were more frequent in elderly, whereas dementia/Alzheimer's disease was more common in nonagenarians. Although, mortality in ICU was increased as the age increased, it was statistically insignificant. However, 1 month mortality rate after discharge from hospital was increased especially in nonagenarians. In nonagenarians infection, whereas in octogenarians need for dialysis treatment, were related with mortality. Length of intensive care stay and hospital cost did not differ between age groups. CONCLUSION Length of nephrology intensive care stay, mortality rate and hospital cost did not differ for very elderly age groups, but mortality risk was higher for nonagenarians after discharge from hospital.
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28
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Haas LEM, Bakhshi-Raiez F, van Dijk D, de Lange DW, de Keizer NF. Outcomes of Intensive Care Patients Older Than 90 Years: An 11-Year National Observational Study. J Am Geriatr Soc 2020; 68:1842-1846. [PMID: 32592608 DOI: 10.1111/jgs.16624] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 04/04/2020] [Accepted: 04/07/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND/OBJECTIVES Many intensive care unit (ICU) physicians are reluctant to admit patients aged 90 years and older, although evidence to support these decisions is scarce. Although the body of evidence on outcomes of patients aged 80 years and older is growing, it does not include patients aged 90 years and older. The aim of this study was to compare the short- and long-term mortality of ICU patients aged 90 years and older in the Netherlands with ICU patients aged 80 to 90 years, that is, octogenarians. DESIGN Multicenter national cohort study over an 11-year period (2008-2018), using data of the National Intensive Care Evaluation (NICE) registry and the Dutch insurance claims registry. SETTING All 82 ICUs in the Netherlands. PARTICIPANTS All patients aged 80 years and older at the time of ICU admission. MEASUREMENTS A total of 104,754 patients aged 80 years and older, of whom 9,495 (9%) were 90 years and older, were admitted to Dutch ICUs during the study period. RESULTS ICU mortality of the patients aged 90 years and older was lower (13.8% vs 16.1%; P < .001) and hospital mortality was similar (26.1% vs 25.7%; P = .41) compared with octogenarians. After 3 months, mortality was higher for the patients aged 90 years and older (43.1% vs 33.7%; P < .001) and after 1-year mortality was 55.0% vs 42.7%; P < .001. CONCLUSION In the Netherlands, mortality rates of patients aged 90 years and older admitted to the ICU are not as disappointing as often assumed. They have a lower ICU mortality and a similar hospital mortality compared with octogenarians. Nevertheless, their longer term mortality is higher compared with octogenarians. However, almost 3 of 4 patients leave the hospital alive, and almost half of the patients aged 90 years and older are still alive 1 year after their ICU admission. J Am Geriatr Soc 68:1842-1846, 2020.
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Affiliation(s)
- Lenneke E M Haas
- Department of Intensive Care, Diakonessenhuis Utrecht, Utrecht, The Netherlands
| | - Ferishta Bakhshi-Raiez
- Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
| | - Diederik van Dijk
- Department of Intensive Care, University Medical Centre, University Utrecht, Utrecht, The Netherlands
| | - Dylan W de Lange
- Department of Intensive Care, University Medical Centre, University Utrecht, Utrecht, The Netherlands
| | - Nicolette F de Keizer
- Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
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Frailty and Associated Outcomes and Resource Utilization Among Older ICU Patients With Suspected Infection. Crit Care Med 2020; 47:e669-e676. [PMID: 31135504 DOI: 10.1097/ccm.0000000000003831] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVES Suspected infection and sepsis are common conditions seen among older ICU patients. Frailty has prognostic importance among critically ill patients, but its impact on outcomes and resource utilization in older patients with suspected infection is unknown. We sought to evaluate the association between patient frailty (defined as a Clinical Frailty Scale ≥ 5) and outcomes of critically ill patients with suspected infection. We also evaluated the association between frailty and the quick Sequential Organ Failure Assessment score. DESIGN Analysis of a prospectively collected registry. SETTING Two hospitals within a single tertiary care level hospital system between 2011 and 2016. PATIENTS We analyzed 1,510 patients 65 years old or older (at the time of ICU admission) and with suspected infection at the time of ICU admission. Of these, 507 (33.6%) were categorized as "frail" (Clinical Frailty Scale ≥ 5). INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS The primary outcome was in-hospital mortality. A total of 558 patients (37.0%) died in-hospital. Frailty was associated with increased risk of in-hospital death (adjusted odds ratio, 1.81 [95% CIs, 1.34-2.49]). Frailty was also associated with higher likelihood of discharge to long-term care (adjusted odds ratio, 2.06 [95% CI, 1.50-2.64]) and higher likelihood of readmission within 30 days (adjusted odds ratio, 1.83 [95% CI, 1.38-2.34]). Frail patients had increased ICU resource utilization and total costs. The combination of frailty and quick Sequential Organ Failure Assessment greater than or equal to 2 further increased the risk of death (adjusted odds ratio, 7.54 [95% CI, 5.82-9.90]). CONCLUSIONS The presence of frailty among older ICU patients with suspected infection is associated with increased mortality, discharge to long-term care, hospital readmission, resource utilization, and costs. This work highlights the importance of clinical frailty in risk stratification of older ICU patients with suspected infection.
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Aung YN, Nur AM, Ismail A, Aljunid SM. Determining the Cost and Length of Stay at Intensive Care Units and the Factors Influencing Them in a Teaching Hospital in Malaysia. Value Health Reg Issues 2020; 21:149-156. [PMID: 31958748 DOI: 10.1016/j.vhri.2019.09.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 09/03/2019] [Accepted: 09/30/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVES Escalating healthcare costs calls for the efficiency of health services, especially in the intensive care unit (ICU) where the bulk of resources are used. This study aims to identify the length of stay (LOS) and cost of care at ICUs, which are proxy indicators of efficiency and the factors determining them. METHODS A cross-sectional study of patients requiring ICU admissions in a teaching hospital in Malaysia from 2013 to 2015 was conducted. The cost at the ICU was estimated using the step down approach. Factors that determined the cost and LOS at the ICU were also explored by using multivariate regression analysis. RESULTS Each day of stay cost $427 (USD) at the pediatric intensive care unit and $1324 at the general intensive care unit. The mean LOS at the ICU was 5.7 days (standard deviation [SD]: 8.4) with a median of 4 days (95% confidence interval [CI] 1-16.7 days). Average cost of care at the ICU per episode of care was $5473 (SD $6499), and the median was $3463. ICU patients spent 29.3% of the total stay and 47.2% of the cost at ICU units. Upon multivariate regression analysis, severity, case base-group, and type of ICU that the patient was admitted to were associated with the cost and LOS at ICU. CONCLUSIONS Compared with critical care practices in hospitals from more developed nations, a Malaysian teaching hospital required a longer length of ICU stay. Hence, implementations of strategies that can reduce the length of stay and hospital costs without compromising healthcare quality are required.
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Affiliation(s)
- Yin Nwe Aung
- Department of Pathology and Community Medicine, Faculty of Medicine and Health Sciences, UCSI University, Kuala Lumpur, Malaysia; International Center for Casemix and Clinical Coding, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
| | - Amrizal M Nur
- International Center for Casemix and Clinical Coding, Universiti Kebangsaan Malaysia, Bangi, Malaysia
| | - Aniza Ismail
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bangi, Malaysia
| | - Syed M Aljunid
- International Center for Casemix and Clinical Coding, Universiti Kebangsaan Malaysia, Bangi, Malaysia; Department of Health Policy and Management, Faculty of Public Health, Kuwait University, Kywait City, Kuwait
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Risk Factors for 1-Year Mortality and Hospital Utilization Patterns in Critical Care Survivors: A Retrospective, Observational, Population-Based Data Linkage Study. Crit Care Med 2019; 47:15-22. [PMID: 30444743 DOI: 10.1097/ccm.0000000000003424] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
OBJECTIVES Clear understanding of the long-term consequences of critical care survivorship is essential. We investigated the care process and individual factors associated with long-term mortality among ICU survivors and explored hospital use in this group. DESIGN Population-based data linkage study using the Secure Anonymised Information Linkage databank. SETTING All ICUs between 2006 and 2013 in Wales, United Kingdom. PATIENTS We identified 40,631 patients discharged alive from Welsh adult ICUs. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Primary outcome was 365-day survival. The secondary outcomes were 30- and 90-day survival and hospital utilization in the 365 days following ICU discharge. Kaplan-Meier curves were plotted to compare survival rates. Cox proportional hazards regression models were used to determine risk factors of mortality. Seven-thousand eight-hundred eighty-three patients (19.4%) died during the 1-year follow-up period. In the multivariable Cox regression analysis, advanced age and comorbidities were significant determinants of long-term mortality. Expedited discharge due to ICU bed shortage was associated with higher risk. The rate of hospitalization in the year prior to the critical care admission was 28 hospitalized days/1,000 d; post critical care was 88 hospitalized days/1,000 d for those who were still alive; and 57 hospitalized days/1,000 d and 412 hospitalized days/1,000 d for those who died by the end of the study, respectively. CONCLUSIONS One in five ICU survivors die within 1 year, with advanced age and comorbidity being significant predictors of outcome, leading to high resource use. Care process factors indicating high system stress were associated with increased risk. More detailed understanding is needed on the effects of the potentially modifiable factors to optimize service delivery and improve long-term outcomes of the critically ill.
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Outcomes and Costs of Patients Admitted to the ICU Due to Spontaneous Intracranial Hemorrhage. Crit Care Med 2019; 46:e395-e403. [PMID: 29406421 DOI: 10.1097/ccm.0000000000003013] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Spontaneous intracranial hemorrhage, including subarachnoid hemorrhage and intracerebral hemorrhage, is associated with significant morbidity and mortality. Although many of these patients will require ICU admission, little is known regarding their outcomes and the costs incurred. We evaluated this population in order to identify outcomes and cost patterns. DESIGN Retrospective cohort analysis of a health administrative database. SETTING Two ICUs within a single hospital system. PATIENTS Eight-thousand four-hundred forty-seven patients admitted to ICU from 2011 to 2014, of whom 332 had a diagnosis of spontaneous intracranial hemorrhage. Control patients were defined as randomly selected age, sex, and comorbidity index-matched nonintracranial hemorrhage ICU patients (1:4 matching ratio). INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Mean age of ICU intracranial hemorrhage patients was 60.1 years, and 120 (36.1%) died prior to discharge. Intracranial hemorrhage was associated with a mean total cost of $75,869, compared with $52,471 in control patients (p < 0.01). Mean cost per survivor of intracranial hemorrhage patients was $118,813. Subarachnoid hemorrhage was associated with significantly higher mean total costs than intracerebral hemorrhage ($92,794 vs $53,491; p < 0.01) and higher mean cost per day ($4,377 vs $3,604; p < 0.01). Patients with intracranial hemorrhage who survived to hospital discharge were significantly costlier than decedents ($100,979 vs $30,872; p < 0.01). Intracranial hemorrhage associated with oral anticoagulant use had a mean total cost of $152,373, compared with $66,548 in nonoral anticoagulant intracranial hemorrhage (p < 0.01). CONCLUSIONS Patients admitted to ICU with intracranial hemorrhage have high costs and high mortality, leading to elevated cost per survivor. Subarachnoid hemorrhage patients incur greater costs than intracerebral hemorrhage patients, and oral anticoagulant-associated intracerebral hemorrhage is particularly costly. Our findings provide novel information regarding financial impact of this common ICU population.
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Aung YN, Nur AM, Ismail A, Aljunid SM. Characteristics and outcome of high-cost ICU patients. CLINICOECONOMICS AND OUTCOMES RESEARCH 2019; 11:505-513. [PMID: 31447570 PMCID: PMC6684796 DOI: 10.2147/ceor.s209108] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 07/01/2019] [Indexed: 12/01/2022] Open
Abstract
Purpose Care at ICUs is expensive and variable depending on the type of care that the patients received. Knowing the characteristics of the patient and his or her disease is always useful for improving health services and cost containment. Patients and methods An observational study was conducted at four different intensive care units of an academic medical institution. Demographic characteristics, disease-management casemix information, cost and outcome of the high costing decile, and the rest of the cases were compared. Results A total of 3,220 discharges were included in the study. The high-cost group contributed 35.4% of the ICU stays and 38.8% of the total ICU expenditure. Diseases of the central nervous system had higher odds to be in the top decile of costly patients whereas the cardiovascular system was more likely to be in the non-high cost category. The high-cost patients were more likely to have death as an outcome (19.2% vs 9.3%; p<0.001). The most common conditions that were in the high-cost groups were craniotomy, other ear, nose, mouth, and throat operations, simple respiratory system operations, complex intestinal operations, and septicemia. These five diagnostic groups made up 43% of the high-cost decile. Conclusion High-cost patients utilized almost 40% of the ICU cost although they were only 10% of the ICU patients. The chances of admission to the ICU increased with older age and severity level of the disease. Central nervous system diseases were the major problem of patients aged 46–69 years old. In addition to cost reduction strategies at the treatment level, detailed analysis of these cases was needed to explore and identify pre-event stage prevention strategies.
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Affiliation(s)
- Yin Nwe Aung
- Department of Laboratory Diagnostic Services and Community Medicine, Faculty of Medicine and Health Sciences, UCSI University, Kuala Lumpur, Malaysia.,International Centre for Casemix and Clinical Coding, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Amrizal M Nur
- International Centre for Casemix and Clinical Coding, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Aniza Ismail
- International Centre for Casemix and Clinical Coding, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.,Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Syed M Aljunid
- International Centre for Casemix and Clinical Coding, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.,Department of Health Policy and Management, Faculty of Public Health, Kuwait University, Hawally, Kuwait
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A comparison of very old patients admitted to intensive care unit after acute versus elective surgery or intervention. J Crit Care 2019; 52:141-148. [DOI: 10.1016/j.jcrc.2019.04.020] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 04/04/2019] [Accepted: 04/18/2019] [Indexed: 11/23/2022]
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Oh DK, Na W, Park YR, Hong SB, Lim CM, Koh Y, Huh JW. Medical resource utilization patterns and mortality rates according to age among critically ill patients admitted to a medical intensive care unit. Medicine (Baltimore) 2019; 98:e15835. [PMID: 31145326 PMCID: PMC6709157 DOI: 10.1097/md.0000000000015835] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
There is ongoing controversy about how to address the growing demand for intensive care for critically ill elderly patients. We investigated resource utilization patterns and mortality rates according to age among critically ill patients.We retrospectively analyzed the medical records of patients admitted to a medical intensive care unit (ICU) in a tertiary referral teaching hospital between July 2006 and June 2015. Patients were categorized into non-elderly (age <65 years, n = 4140), young-elderly (age 65-74 years, n = 2306), and old-elderly (age ≥75 years, n = 1508) groups.Among 7954 admissions, the mean age was 61.5 years, and 5061 (63.6%) were of male patients. The proportion of comorbidities increased with age (64.6% in the non-elderly vs 81.4% in the young-elderly vs 82.8% in the old-elderly, P < .001 and P for trend <.001), whereas the baseline Sequential Organ Failure Assessment (SOFA) score decreased with age (8.1 in the non-elderly vs 7.2 in the young-elderly vs 7.2 in the old-elderly, P < .001, R = -.092 and P for trend <.001). Utilization rates of mechanical ventilation (48.6% in the non-elderly vs 48.3% in the young-elderly vs 45.5% in the old-elderly, P = .11) and renal replacement therapy (27.5% in the non-elderly vs 25.5% in the young-elderly vs 24.8% in the old-elderly, P = .069) were comparable between the age groups. The 28-day ICU mortality rates were lower in the young-elderly and the old-elderly groups than in the non-elderly group (35.6% in the non-elderly vs 34.2% in the young-elderly, P = .011; and vs 32.6% in the old-elderly, P = .002).A substantial number of critically ill elderly patients used medical resources as non-elderly patients and showed favorable clinical outcomes. Our results support that underlying medical conditions rather than age per se need to be considered for determining intensive care.
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Affiliation(s)
- Dong Kyu Oh
- Department of Pulmonary and Critical Care Medicine
| | - Wonjun Na
- Department of Medical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine
| | - Yu Rang Park
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, South Korea
| | | | - Chae-Man Lim
- Department of Pulmonary and Critical Care Medicine
| | - Younsuck Koh
- Department of Pulmonary and Critical Care Medicine
| | - Jin-Won Huh
- Department of Pulmonary and Critical Care Medicine
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Fernando SM, Bagshaw SM, Rochwerg B, McIsaac DI, Thavorn K, Forster AJ, Tran A, Reardon PM, Rosenberg E, Tanuseputro P, Kyeremanteng K. Comparison of outcomes and costs between adult diabetic ketoacidosis patients admitted to the ICU and step-down unit. J Crit Care 2018; 50:257-261. [PMID: 30640078 DOI: 10.1016/j.jcrc.2018.12.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Revised: 12/21/2018] [Accepted: 12/24/2018] [Indexed: 12/26/2022]
Abstract
PURPOSE There is wide variation in the utilization of Intensive Care Unit (ICU) beds for treatment and monitoring of adult patients with Diabetic Ketoacidosis (DKA). We sought to compare the outcomes and hospital costs of adult DKA patients admitted to ICUs as compared to those admitted to step-down units. MATERIALS AND METHODS We included consecutive adult patients from two hospitals with a diagnosis of DKA. Patients were either admitted to the ICU, or a step-down unit, which has a nurse-to-patient ratio of 2:1, but does not have capability for mechanical ventilation or administration of vasoactive agents. The primary outcome was in-hospital mortality. RESULTS We included 872 patients in the analysis. 71 (8.1%) were admitted to ICU, while 801 (91.9%) were admitted to a step-down unit. We found no difference in in-hospital mortality between patients admitted to the ICU and those admitted to the step-down unit (adjusted odds ratio [OR]: 1.14, 95% confidence interval [CI]: 0.87-2.64). Mean total hospital costs were significantly higher for patients admitted to the ICU ($20,428 vs. $6484, P < 0.001). CONCLUSIONS Adult DKA patients admitted to a step-down unit had comparable in-hospital mortality and lower hospital costs as compared to those admitted to the ICU.
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Affiliation(s)
- Shannon M Fernando
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada; Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada.
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Bram Rochwerg
- Department of Medicine, Division of Critical Care, McMaster University, Hamilton, ON, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Daniel I McIsaac
- Department of Anesthesiology and Pain Medicine, University of Ottawa, Ottawa, ON, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Kednapa Thavorn
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Alan J Forster
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Alexandre Tran
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada; Department of Surgery, University of Ottawa, Ottawa, ON, Canada
| | - Peter M Reardon
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada; Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Erin Rosenberg
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Peter Tanuseputro
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada; Institut du Savoir Montfort, Ottawa, ON, Canada
| | - Kwadwo Kyeremanteng
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada; Institut du Savoir Montfort, Ottawa, ON, Canada
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Guidet B, Vallet H, Boddaert J, de Lange DW, Morandi A, Leblanc G, Artigas A, Flaatten H. Caring for the critically ill patients over 80: a narrative review. Ann Intensive Care 2018; 8:114. [PMID: 30478708 PMCID: PMC6261095 DOI: 10.1186/s13613-018-0458-7] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 11/14/2018] [Indexed: 12/25/2022] Open
Abstract
Background There is currently no international recommendation for the admission or treatment of the critically ill older patients over 80 years of age in the intensive care unit (ICU), and there is no valid prognostic severity score that includes specific geriatric assessments. Main body In this review, we report recent literature focusing on older critically ill patients in order to help physicians in the multiple-step decision-making process. It is unclear under what conditions older patients may benefit from ICU admission. Consequently, there is a wide variation in triage practices, treatment intensity levels, end-of-life practices, discharge practices and frequency of geriatrician’s involvement among institutions and clinicians. In this review, we discuss important steps in caring for critically ill older patients, from the triage to long-term outcome, with a focus on specific conditions in the very old patients. Conclusion According to previous considerations, we provide an algorithm presented as a guide to aid in the decision-making process for the caring of the critically ill older patients. Electronic supplementary material The online version of this article (10.1186/s13613-018-0458-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bertrand Guidet
- Assistance Publique - Hôpitaux de Paris (AP-HP), Service de Réanimation Médicale, Hôpital Saint-Antoine, 184 rue du Faubourg Saint-Antoine, 75012, Paris, France. .,Sorbonne Universités, Université Pierre et Marie Curie - Paris 06, Paris, France. .,INSERM, UMR_S 1136, Institute Pierre Louis d'Épidémiologie et de Santé Publique, 75013, Paris, France.
| | - Helene Vallet
- INSERM, UMR_S 1136, Institute Pierre Louis d'Épidémiologie et de Santé Publique, 75013, Paris, France.,Assistance Publique - Hôpitaux de Paris (AP-HP), Service de gériatrie, Hôpital Pitié salpêtrière, 75013, Paris, France
| | - Jacques Boddaert
- Sorbonne Universités, Université Pierre et Marie Curie - Paris 06, Paris, France.,Assistance Publique - Hôpitaux de Paris (AP-HP), Service de gériatrie, Hôpital Pitié salpêtrière, 75013, Paris, France
| | - Dylan W de Lange
- Department of Intensive Care, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Alessandro Morandi
- Department of Rehabilitation Hospital Ancelle di Cremona, Cremona, Italy.,Geriatric Research Group, Brescia, Italy
| | - Guillaume Leblanc
- Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Université Laval, Québec City, QC, Canada.,Centre de recherche du CHU de Québec - Université Laval, Population Health and Optimal Health Practices Research Unit (Trauma - Emergency - Critical Care Medicine), Université Laval, Québec City, QC, Canada
| | - Antonio Artigas
- Department of Intensive Care Medecine, CIBER EnfermedadesRespiratorias, Corporacion Sanitaria Universitaria Parc Tauli, Autonomous University of Barcelona, Sabadell, Spain
| | - Hans Flaatten
- Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Haas LEM, van Beusekom I, van Dijk D, Hamaker ME, Bakhshi-Raiez F, de Lange DW, de Keizer NF. Healthcare-related costs in very elderly intensive care patients. Intensive Care Med 2018; 44:1896-1903. [PMID: 30255319 DOI: 10.1007/s00134-018-5381-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 09/19/2018] [Indexed: 01/06/2023]
Abstract
INTRODUCTION The long-term outcome of "very old intensive care unit patients" (VOPs; ≥ 80 years) is often disappointing. Little is known about the healthcare costs of these VOPs in comparison to younger ICU patients and the very elderly in the general population not admitted to the ICU. METHODS Data from a national health insurance claims database and a national quality registry for ICUs were combined. Costs of VOPs admitted to the ICU in 2013 were compared with costs of younger ICU patients (two groups, respectively 18-65 and 65-80 years old) and a matched control group of very elderly subjects who were not admitted to the ICU. We compared median costs and median costs per day alive in the year before ICU admission (2012), the year of ICU admission (2013) and the year after ICU admission (2014). RESULTS A total of 9272 VOPs were included and compared to three equally sized study groups. Median costs for VOPs in 2012, 2013 and 2014 (€5944, €35,653 and €12,565) are higher compared to the ICU 18-65 population (€3022, €30,223 and €5052, all p < 0.001) and the very elderly control population (€3590, €4238 and €4723, all p < 0.001). Compared to the ICU 65-80 population, costs of VOPs are higher in the year before and after ICU admission (€4323 and €6750, both p < 0.001), but not in the year of ICU admission (€34,448, p = 0.950). The median healthcare costs per day alive in the year before, the year of and the year after ICU admission are all higher for VOPs than for the other groups (p < 0.001). CONCLUSIONS VOPs required more healthcare resources in the year before, the year of and the year after ICU admission compared to younger ICU patients and the very elderly control population, except compared to the ICU 65-80 population in the year of ICU admission. Healthcare costs per day alive, however, are substantially higher for VOPs than for all other study groups in all three studied years.
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Affiliation(s)
- L E M Haas
- Department of Intensive Care Medicine, Diakonessenhuis Utrecht, PO box 80250, 3508 TG, Utrecht, The Netherlands.
| | - Ilse van Beusekom
- Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
| | - Diederik van Dijk
- Department of Intensive Care Medicine, University Medical Center, Utrecht University, Utrecht, The Netherlands
| | - Marije E Hamaker
- Department of Geriatrics, Diakonessenhuis, Utrecht, The Netherlands
| | - Ferishta Bakhshi-Raiez
- Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
| | - Dylan W de Lange
- National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands.,Department of Intensive Care Medicine, University Medical Center, Utrecht University, Utrecht, The Netherlands
| | - Nicolette F de Keizer
- Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
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Characteristics, Outcomes, and Cost Patterns of High-Cost Patients in the Intensive Care Unit. Crit Care Res Pract 2018; 2018:5452683. [PMID: 30245873 PMCID: PMC6139208 DOI: 10.1155/2018/5452683] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 06/26/2018] [Accepted: 07/16/2018] [Indexed: 11/17/2022] Open
Abstract
Background ICU care is costly, and there is a large variation in cost among patients. Methods This is an observational study conducted at two ICUs in an academic centre. We compared the demographics, clinical data, and outcomes of the highest decile of patients by total costs, to the rest of the population. Results A total of 7,849 patients were included. The high-cost group had a longer median ICU length of stay (26 versus 4 days, P < 0.001) and amounted to 49% of total costs. In-hospital mortality was lower in the high-cost group (21.1% versus 28.4%, P < 0.001). Fewer high-cost patients were discharged home (23.9% versus 45.2%, P < 0.001), and a large proportion were transferred to long-term care (35.1% versus 12.1%, P < 0.001). Patients with younger age or a diagnosis of subarachnoid hemorrhage, acute respiratory failure, or complications of procedures were more likely to be high cost. Conclusions High-cost users utilized half of the total costs. While cost is associated with LOS, other drivers include younger age or admission for respiratory failure, subarachnoid hemorrhage, or after a procedural complication. Cost-reduction interventions should incorporate strategies to optimize critical care use among these patients.
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40
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Fernando SM, Rochwerg B, Reardon PM, Thavorn K, Seely AJE, Perry JJ, Barnaby DP, Tanuseputro P, Kyeremanteng K. Emergency Department disposition decisions and associated mortality and costs in ICU patients with suspected infection. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2018; 22:172. [PMID: 29976238 PMCID: PMC6034286 DOI: 10.1186/s13054-018-2096-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 06/15/2018] [Indexed: 12/29/2022]
Abstract
Background Following emergency department (ED) assessment, patients with infection may be directly admitted to the intensive care unit (ICU) or alternatively admitted to hospital wards or sent home. Those admitted to the hospital wards or sent home may experience future deterioration necessitating ICU admission. Methods We used a prospectively collected registry from two hospitals within a single tertiary care hospital network between 2011 and 2014. Patient information, outcomes, and costs were stored in the hospital data warehouse. Patients were categorized into three groups: (1) admitted directly from the ED to the ICU; (2) initially admitted to the hospital wards, with ICU admission within 72 hours of initial presentation; or (3) sent home from the ED, with ICU admission within 72 hours of initial presentation. Using multivariable logistic regression, we sought to compare outcomes and total costs between groups. Total costs were evaluated using a generalized linear model. Results A total of 657 patients were included; of these, 338 (51.4%) were admitted directly from the ED to the ICU, 246 (37.4%) were initially admitted to the wards and then to the ICU, and 73 (11.1%) were initially sent home and then admitted to the ICU. In-hospital mortality was lowest among patients admitted directly to the ICU (29.5%), as compared with patients admitted to the ICU from wards (42.7%) or home (61.6%) (P < 0.001). As compared with direct ICU admission, disposition to the ward was associated with an adjusted OR of 1.75 (95% CI, 1.22–2.50; P < 0.01) for mortality, and disposition home was associated with an adjusted OR of 4.02 (95% CI, 2.32–6.98). Mean total costs were lowest among patients directly admitted to the ICU ($26,748), as compared with those admitted from the wards ($107,315) and those initially sent home ($71,492) (P < 0.001). Cost per survivor was lower among patients directly admitted to the ICU ($37,986) than either those initially admitted to the wards ($187,230) or those sent home ($186,390) (P < 0.001). Conclusions In comparison with direct admission to the ICU, patients with suspected infection admitted to the ICU who have previously been discharged home or admitted to the ward are associated with higher in-hospital mortality and costs. Electronic supplementary material The online version of this article (10.1186/s13054-018-2096-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shannon M Fernando
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada. .,Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada.
| | - Bram Rochwerg
- Division of Critical Care, Department of Medicine, McMaster University, Hamilton, ON, Canada.,Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Peter M Reardon
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.,Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Kednapa Thavorn
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Andrew J E Seely
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.,School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Department of Surgery, University of Ottawa, Ottawa, ON, Canada
| | - Jeffrey J Perry
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada.,School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Douglas P Barnaby
- Department of Emergency Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Peter Tanuseputro
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Bruyere Research Institute, Ottawa, ON, Canada.,Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Kwadwo Kyeremanteng
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
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Zhu Y, Yin H, Zhang R, Ye X, Wei J. Gastric versus postpyloric enteral nutrition in elderly patients (age ≥ 75 years) on mechanical ventilation: a single-center randomized trial. Crit Care 2018; 22:170. [PMID: 29976233 PMCID: PMC6034338 DOI: 10.1186/s13054-018-2092-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 06/08/2018] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The risk of ventilator-associated pneumonia (VAP) is reduced when postpyloric enteral nutrition (EN) is administered compared to when gastric EN is administered in specific populations. In the present study, we tested the hypothesis that postpyloric EN is superior to gastric EN in reducing the incidence of VAP in elderly patients (age ≥ 75 years) who are admitted to the intensive care unit (ICU) and require mechanical ventilation. METHODS We performed a single-center randomized clinical trial involving elderly patients (age ≥ 75 years) who were admitted to the ICU and required mechanical ventilation. The patients were randomly assigned to either the postpyloric EN group or the gastric EN group. The primary outcome was the VAP rate. RESULTS Of the 836 patients screened, 141 patients were included in the study (70 in the postpyloric EN group and 71 in the gastric EN group). The patients in the postpyloric EN group were 82.0 (75.0-99.0) years old (male 61.4%), and those in the gastric EN group were 82.0 (75.0-92.0) years old (male 63.4%). The Acute Physiology and Chronic Health Evaluation II scores were 28.09 ± 6.75 in the postpyloric EN group and 27.80 ± 7.60 in the gastric EN group (P = 0.43). VAP was observed in 8 of 70 patients (11.4%) in the postpyloric EN group and in 18 of 71 patients (25.4%) in the gastric EN group, which resulted in a significant between-group difference (OR 0.38, 95% CI 0.15-0.94; P = 0.04). In the postpyloric EN group, there were significant reductions in vomiting (12 patients in the postpyloric EN group vs 29 patients in the gastric EN group; OR 0.30, 95% CI 0.14-0.65; P = 0.002) and abdominal distension (18 patients in the postpyloric EN group vs 33 patients in the gastric EN group; OR 0.40, 95% CI 0.20-0.81; P = 0.01). No significant differences were observed between the two groups regarding mortality and other secondary outcomes. CONCLUSIONS Our study demonstrated that, compared with gastric EN, postpyloric EN reduced the VAP rate among elderly patients who were admitted to the ICU and required mechanical ventilation. TRIAL REGISTRATION Chinese Clinical Trial Registry, ChiCTR-IPR-16008485 . Registered on 17 May 2016.
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Affiliation(s)
- Youfeng Zhu
- 0000 0004 1790 3548grid.258164.cDepartment of Intensive Care Unit, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220 China
| | - Haiyan Yin
- 0000 0004 1790 3548grid.258164.cDepartment of Intensive Care Unit, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220 China
| | - Rui Zhang
- 0000 0004 1790 3548grid.258164.cDepartment of Intensive Care Unit, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220 China
| | - Xiaoling Ye
- 0000 0004 1790 3548grid.258164.cDepartment of Intensive Care Unit, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220 China
| | - Jianrui Wei
- 0000 0004 1790 3548grid.258164.cInstitute of Clinical Nutrition, Guangzhou Red Cross Hospital, Medical College, Jinan University, Tongfuzhong Road No. 396, Guangzhou, 510220 China
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Outcomes and healthcare-associated costs one year after intensive care-treated cardiac arrest. Resuscitation 2018; 131:128-134. [PMID: 29958958 DOI: 10.1016/j.resuscitation.2018.06.028] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 06/15/2018] [Accepted: 06/25/2018] [Indexed: 01/03/2023]
Abstract
BACKGROUND Despite the significant socioeconomic burden associated with cardiac arrest (CA), data on CA patients' long-term outcome and healthcare-associated costs are limited. The aim of this study was to determine one-year survival, neurological outcome and healthcare-associated costs for ICU-treated CA patients. METHODS This is a single-centre retrospective study on adult CA patients treated in Finnish tertiary hospital's ICUs between 2005 and 2013. Patients' personal identification number was used to crosslink data between several nationwide databases in order to obtain data on one-year survival, neurological outcome, and healthcare-associated costs. Healthcare-associated costs were calculated for every patient stratified by cardiac arrest location (OHCA = out-of-hospital cardiac arrest, IHCA = all in-hospital cardiac arrest, ICU-CA = in-ICU cardiac arrest) and initial cardiac rhythm. Cost-effectiveness was estimated by dividing total healthcare-associated costs for all patients from the respective group by the number of survivors and survivors with favourable neurological outcome. RESULTS The study population included 1,024 ICU-treated CA patients. The sum of costs for all patients was €50,847,540. At one-year after CA, 58% of OHCAs, 44% of IHCAs, and 39% of ICU-CAs were alive. Of one-year survivors 97% of OHCAs, 88% of IHCAs, and 93% of ICU-CAs had favourable neurological outcome. Effective cost per one-year survivor was €76,212 for OHCAs, €144,168 for IHCAs, and €239,468 for ICU-CAs. Effective cost per one-year survivor with favourable neurological outcome was €81,196 for OHCAs, €164,442 for IHCAs, and €257,207 for ICU-CAs. CONCLUSIONS In-ICU CA patients had the lowest one-year survival with the effective cost per survivor three times higher than for OHCAs.
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Le Borgne P, Maestraggi Q, Couraud S, Lefebvre F, Herbrecht JE, Boivin A, Michard B, Castelain V, Kaltenbach G, Bilbault P, Schneider F. Critically ill elderly patients (≥ 90 years): Clinical characteristics, outcome and financial implications. PLoS One 2018; 13:e0198360. [PMID: 29856809 PMCID: PMC5983531 DOI: 10.1371/journal.pone.0198360] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 05/17/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Patients aged over 90 are being admitted to intensive care units (ICUs) with increasing frequency. The appropriateness of such decisions still remains controversial due to questionable outcome, limited resources and costs. Our objective was to determine the clinical characteristics and outcome in elderly patients (≥ 90 years) admitted in a medical ICU, with an additional focus on medico-economic implications. METHODS We reviewed the charts of all patients (≥ 90 years) admitted to our ICU. We compared them with all other ICU patients (< 90 years), sought to identify ICU mortality predictors and also performed a long-term survival follow-up. RESULTS In the study group of 317 stays: median age was 92 years (IQR: 91-94 years); most patients were female (71.3%.). Acute respiratory failure (52.4%) was the main admission diagnosis; mean SAPS II was 55.6±21.3; half the stays (49.2%) required mechanical ventilation (duration: 7.2±8.8 days); withholding and withdrawing decisions were made for 33.4% of all stays. ICU and hospital mortality rates were 35.7% and 42.6% respectively. Mechanical ventilation (OR = 4.83, CI95%: 1.59-15.82) was an independent predictor of ICU mortality whereas age was not (OR = 0.88, CI95%: 0.72-1.08). Social security reimbursement was significantly lower in the study group compared with all other ICU stays, both per stay (13,160 vs 22,092 Euros, p< 0.01) and per day of stay (p = 0.03). CONCLUSION Among critically ill elderly patients (≥ 90 years), chronological age was not an independent factor of ICU mortality. ICU care-related costs in this population should not be considered as a limiting factor for ICU admission.
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Affiliation(s)
- Pierrick Le Borgne
- Emergency Department, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
- INSERM (French National Institute of Health and Medical Research), UMR 1260, Regenerative NanoMedicine (RNM), Fédération de Médecine Translationnelle (FMTS), University of Strasbourg, Strasbourg, France
- * E-mail:
| | - Quentin Maestraggi
- Medical Intensive Care Unit and UMR 1121, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
| | - Sophie Couraud
- Emergency Department, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
| | - François Lefebvre
- Department of Public Health, University Hospital of Strasbourg, Strasbourg, France
| | - Jean-Etienne Herbrecht
- Medical Intensive Care Unit and UMR 1121, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
| | - Alexandra Boivin
- Medical Intensive Care Unit and UMR 1121, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
| | - Baptiste Michard
- Medical Intensive Care Unit and UMR 1121, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
| | - Vincent Castelain
- Medical Intensive Care Unit and UMR 1121, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
| | - Georges Kaltenbach
- Department of Geriatrics, University Hospital of Strasbourg, Strasbourg, France
| | - Pascal Bilbault
- Emergency Department, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
- INSERM (French National Institute of Health and Medical Research), UMR 1260, Regenerative NanoMedicine (RNM), Fédération de Médecine Translationnelle (FMTS), University of Strasbourg, Strasbourg, France
| | - Francis Schneider
- Medical Intensive Care Unit and UMR 1121, Hautepierre Hospital, University Hospital of Strasbourg, Strasbourg, France
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Fernando SM, Reardon PM, Ball IM, van Katwyk S, Thavorn K, Tanuseputro P, Rosenberg E, Kyeremanteng K. Outcomes and Costs of Patients Admitted to the Intensive Care Unit Due to Accidental or Intentional Poisoning. J Intensive Care Med 2018; 35:386-393. [PMID: 29357777 DOI: 10.1177/0885066617754046] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Acute poisoning represents a major cause of morbidity and mortality, and many of these patients are admitted to the intensive care unit (ICU). However, little is known regarding ICU costs of acute poisoning. METHODS This was a retrospective matched database analysis of patients admitted to the ICU with acute poisoning from 2011 to 2014. It was performed in 2 ICUs within a single tertiary care hospital system. All patient information, outcomes, and costs were stored in the hospital data warehouse. Control patients were defined as randomly selected age-, sex-, severity index-, and comorbidity index-matched nonpoisoned ICU patients (1:4 matching ratio). RESULTS A total of 8452 critically ill patients were admitted during the study period, of whom 277 had a diagnosis of acute poisoning. The mean age was 44.5 years, and the most common xenobiotics implicated were sedative hypnotics (20.2%), antidepressants (15.2%), and opioids (10.5%). Of these, 73.6% of poisonings were deemed intentional. In-hospital mortality of poisoned patients was 5.1%, compared to 11.1% for control patients (P < .01). The median ICU length of stay (LOS) for poisoned patients was 3.0 days, compared with 4.0 days for control patients (P < .01). The mean total cost for poisoned patients was CAD$18 958. Control patients had a significantly higher mean total cost of CAD$60 628 (P < .01). The xenobiotics associated with the highest costs were acetaminophen (CAD$18 585), toxic alcohols (CAD$16 771), and opioids (CAD$12 967). CONCLUSIONS In our cohort, we confirmed the long-held belief that patients admitted to the ICU with a primary diagnosis of poisoning have a lower mortality rate, ICU LOS, and overall cost per ICU admission than nonpoisoned patients. However, poisoned patients still accrue significant daily costs, with the highest costs attributed to xenobiotics with known antidotes, such as acetaminophen, toxic alcohols, and opioids.
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Affiliation(s)
- Shannon M Fernando
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Peter M Reardon
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Ian M Ball
- Division of Critical Care Medicine, Department of Medicine, Western University, London, Ontario, Canada.,Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Sasha van Katwyk
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Kednapa Thavorn
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Peter Tanuseputro
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,Bruyere Research Institute, Ottawa, Ontario, Canada.,Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Erin Rosenberg
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Kwadwo Kyeremanteng
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
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Suarez-de-la-Rica A, Castro-Arias C, Latorre J, Gilsanz F, Maseda E. Prognosis and predictors of mortality in critically ill elderly patients. ACTA ACUST UNITED AC 2017; 65:143-148. [PMID: 29242031 DOI: 10.1016/j.redar.2017.11.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 11/03/2017] [Accepted: 11/06/2017] [Indexed: 10/18/2022]
Abstract
OBJECTIVES to evaluate mortality of patients≥80 years admitted to the Surgical Intensive Care Unit (SICU), global hospital mortality and factors related to it. MATERIAL AND METHODS observational retrospective study of patients≥80 years admitted to SICU between June 2012 and June 2015. RESULTS a total of 299 patients were included, 54 of them died in the SICU (18.1%) and 80 patients (26.8%) died during their hospital stay. SICU mortality was independently related to age (OR=1.125; 95%CI: 1.042-1.215; P=.003), SAPS II (OR=1.026; 95% CI: 1.008-1.044; P=.004), need for renal replacement therapy (RRT) (OR=1.960; 95%CI: 1.046-3.671; P=.036) and need for mechanical ventilation for more than 24hours (OR=2.834; 95%CI: 1.244-6.456; P=.013). Factors independently related to hospital mortality were age (OR=1.125; 95%CI: 1.054-1.192; P<.001), SOFA score (OR=1.154; 95% CI: 1.079-1.235; P<.001), need for RRT (OR=1.924; 95%CI: 1.121-3.302; p=0.018) and need for mechanical ventilation for more than 24hours (OR=3.144; 95% CI: 1.771-5.584; P<.001). CONCLUSIONS In critically ill patients over 80 years hospital mortality was independently related to age, SOFA score, RRT need and need for mechanical ventilation for more than 24hours. Our results raise important issues about end-of-life care and life-sustaining interventions in elderly, critically ill patients.
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Affiliation(s)
- A Suarez-de-la-Rica
- Servicio de Anestesiología y Reanimación, Hospital Universitario La Paz, Madrid, España.
| | - C Castro-Arias
- Servicio de Anestesiología y Reanimación, Hospital Universitario La Paz, Madrid, España
| | - J Latorre
- Servicio de Anestesiología y Reanimación, Hospital Universitario La Paz, Madrid, España
| | - F Gilsanz
- Servicio de Anestesiología y Reanimación, Hospital Universitario La Paz, Madrid, España
| | - E Maseda
- Servicio de Anestesiología y Reanimación, Hospital Universitario La Paz, Madrid, España
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Guidet B, Leblanc G, Simon T, Woimant M, Quenot JP, Ganansia O, Maignan M, Yordanov Y, Delerme S, Doumenc B, Fartoukh M, Charestan P, Trognon P, Galichon B, Javaud N, Patzak A, Garrouste-Orgeas M, Thomas C, Azerad S, Pateron D, Boumendil A. Effect of Systematic Intensive Care Unit Triage on Long-term Mortality Among Critically Ill Elderly Patients in France: A Randomized Clinical Trial. JAMA 2017; 318:1450-1459. [PMID: 28973065 PMCID: PMC5710364 DOI: 10.1001/jama.2017.13889] [Citation(s) in RCA: 138] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
IMPORTANCE The high mortality rate in critically ill elderly patients has led to questioning of the beneficial effect of intensive care unit (ICU) admission and to a variable ICU use among this population. OBJECTIVE To determine whether a recommendation for systematic ICU admission in critically ill elderly patients reduces 6-month mortality compared with usual practice. DESIGN, SETTING, AND PARTICIPANTS Multicenter, cluster-randomized clinical trial of 3037 critically ill patients aged 75 years or older, free of cancer, with preserved functional status (Index of Independence in Activities of Daily Living ≥4) and nutritional status (absence of cachexia) who arrived at the emergency department of one of 24 hospitals in France between January 2012 and April 2015 and were followed up until November 2015. INTERVENTIONS Centers were randomly assigned either to use a program to promote systematic ICU admission of patients (n=1519 participants) or to follow standard practice (n=1518 participants). MAIN OUTCOMES AND MEASURES The primary outcome was death at 6 months. Secondary outcomes included ICU admission rate, in-hospital death, functional status, and quality of life (12-Item Short Form Health Survey, ranging from 0 to 100, with higher score representing better self-reported health) at 6 months. RESULTS One patient withdrew consent, leaving 3036 patients included in the trial (median age, 85 [interquartile range, 81-89] years; 1361 [45%] men). Patients in the systematic strategy group had an increased risk of death at 6 months (45% vs 39%; relative risk [RR], 1.16; 95% CI, 1.07-1.26) despite an increased ICU admission rate (61% vs 34%; RR, 1.80; 95% CI, 1.66-1.95). After adjustments for baseline characteristics, patients in the systematic strategy group were more likely to be admitted to an ICU (RR, 1.68; 95% CI, 1.54-1.82) and had a higher risk of in-hospital death (RR, 1.18; 95% CI, 1.03-1.33) but had no significant increase in risk of death at 6 months (RR, 1.05; 95% CI, 0.96-1.14). Functional status and physical quality of life at 6 months were not significantly different between groups. CONCLUSIONS AND RELEVANCE Among critically ill elderly patients in France, a program to promote systematic ICU admission increased ICU use but did not reduce 6-month mortality. Additional research is needed to understand the decision to admit elderly patients to the ICU. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01508819.
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Affiliation(s)
- Bertrand Guidet
- Assistance Publique–Hôpitaux de Paris (AP-HP), Hôpital Saint-Antoine, Service de Réanimation Médicale, Paris, France
- Sorbonne Universités, Université Pierre et Marie Curie, Paris, France
- Institut National de la Santé et de la Recherche Médicale (INSERM), UMR S 1136, Institut Pierre Louis d’Épidémiologie et de Santé Publique, Paris, France
| | - Guillaume Leblanc
- Assistance Publique–Hôpitaux de Paris (AP-HP), Hôpital Saint-Antoine, Service de Réanimation Médicale, Paris, France
- Department of Anesthesiology and Critical Care, Université Laval, Québec City, Québec, Canada
| | - Tabassome Simon
- Sorbonne Universités, Université Pierre et Marie Curie, Paris, France
- AP-HP, Hôpital Saint-Antoine, Department of Pharmacology and Unité de Recherche Clinique de l’Est Parisien, Paris, France
| | - Maguy Woimant
- AP-HP, Hôpital Avicenne, Service d’Accueil des Urgences (SAU), Bobigny, France
| | - Jean-Pierre Quenot
- CHU de Dijon, Service de Réanimation Médicale, Dijon, France
- Equipe LIPNESS, INSERM UMR 866, Université de Bourgogne Franche Comté, Dijon, France
| | | | | | | | | | | | | | | | | | | | | | - Anabela Patzak
- AP-HP, Hôpital européen Georges-Pompidou, SAU, Paris, France
| | | | - Caroline Thomas
- AP-HP, Hôpital Saint-Antoine, Service de Gériatrie Aiguë, Paris, France
| | - Sylvie Azerad
- AP-HP, Hôpital Ambroise Paré, Unité de Recherche Clinique Paris Île-de-France Ouest, Boulogne-Billancourt, 92104, France
| | - Dominique Pateron
- Sorbonne Universités, Université Pierre et Marie Curie, Paris, France
- AP-HP, Hôpital Saint-Antoine, SAU, Paris, France
| | - Ariane Boumendil
- Assistance Publique–Hôpitaux de Paris (AP-HP), Hôpital Saint-Antoine, Service de Réanimation Médicale, Paris, France
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Bassford C. Decisions regarding admission to the ICU and international initiatives to improve the decision-making process. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2017; 21:174. [PMID: 28683758 PMCID: PMC5500948 DOI: 10.1186/s13054-017-1749-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 05/31/2017] [Indexed: 12/03/2022]
Affiliation(s)
- Christopher Bassford
- General Critical Care, University Hospital, Clifford Bridge Road, Coventry, CV2 2DX, UK. .,University of Warwick, Coventry, UK.
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