1
|
Lv X, Liu X, Li C, Zhou W, Sheng S, Shen Y, Shen T, Ma Q, Ma S, Zhu F. The value of Age-adjusted Charlson and Elixhauser-Van Walraven comorbidity index in predicting prognosis for patients undergoing heart valve surgery. J Cardiothorac Surg 2024; 19:614. [PMID: 39456074 PMCID: PMC11515313 DOI: 10.1186/s13019-024-03116-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Accepted: 10/12/2024] [Indexed: 10/28/2024] Open
Abstract
OBJECTIVE This study aims to compare the efficacy of the Age-adjusted Charlson Comorbidity Index (ACCI) and the Elixhauser-Van Walraven Comorbidity Index (ECI-VW) in predicting mortality risk among patients undergoing heart valve surgery. METHODS Clinical data were extracted from the INSPIRE Database using R language. The Receiver Operating Characteristic (ROC) Curve was employed to assess the predictive accuracy of ACCI and ECI-VW for in-hospital all-cause mortality and post-surgical all-cause mortality at 7 and 28 days. Subgroup analysis was conducted to validate the application efficacy, and the optimal cutoff value was identified. RESULTS The study included 996 patients, with 931 survivors and 65 cases of in-hospital all-cause mortality. The area under the curve (AUC) for ACCI in predicting in-hospital all-cause mortality was 0.658 (95% CI: 0.584, 0.732), while the AUC for ECI-vw in predicting the same outcome was 0.663 (95% CI: 0.584, 0.741). For predicting all-cause mortality within 7 days post-surgery, the AUC of ACCI was 0.680 (95% CI: 0.04, 0.56), and for ECI-vw, it was 0.532 (95% CI: 0.353, 0.712). Regarding the prediction of all-cause mortality within 28 days after surgery, the AUC for ACCI was 0.724 (95% CI: 0.622, 0.827), and for ECI-vw, it was 0.653 (95% CI: 0.538, 0.69). Patients were categorized into two groups based on the ACCI cutoff value of 3.5, including Group 1 (ACCI < 3.5 points, 823 cases) and Group 2 (ACCI > 3.5 points, 173 cases). The overall survival rate for these two patient groups was calculated using the Kaplan-Meier method, revealing that the 28-day postoperative survival rate for patients in Group 1 was significantly higher than that for patients in Group 2 (P < 0.0001). CONCLUSIONS ACCI demonstrates significant predictive value for in-hospital all-cause mortality within 28 days following cardiac valve disease surgery. Patients presenting with an ACCI greater than 3.5 exhibit an increased risk of mortality within 28 days post-surgery compared to those with an ACCI less than 3.5. This finding suggests that the ACCI can serve as a preliminary tool for assessing the prognosis of patients undergoing this type of surgical intervention.
Collapse
Affiliation(s)
- Xingping Lv
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Xiaobin Liu
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Chen Li
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Wei Zhou
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Shuyue Sheng
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Yezhou Shen
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Tuo Shen
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Qimin Ma
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Shaolin Ma
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
| | - Feng Zhu
- Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
| |
Collapse
|
2
|
Moïsi L, Mino JC, Guidet B, Vallet H. Frailty assessment in critically ill older adults: a narrative review. Ann Intensive Care 2024; 14:93. [PMID: 38888743 PMCID: PMC11189387 DOI: 10.1186/s13613-024-01315-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/17/2024] [Indexed: 06/20/2024] Open
Abstract
Frailty, a condition that was first defined 20 years ago, is now assessed via multiple different tools. The Frailty Phenotype was initially used to identify a population of "pre-frail" and "frail" older adults, so as to prevent falls, loss of mobility, and hospitalizations. A different definition of frailty, via the Clinical Frailty Scale, is now actively used in critical care situations to evaluate over 65 year-old patients, whether it be for Intensive Care Unit (ICU) admissions, limitation of life-sustaining treatments or prognostication. Confusion remains when mentioning "frailty" in older adults, as to which tools are used, and what the impact or the bias of using these tools might be. In addition, it is essential to clarify which tools are appropriate in medical emergencies. In this review, we clarify various concepts and differences between frailty, functional autonomy and comorbidities; then focus on the current use of frailty scales in critically ill older adults. Finally, we discuss the benefits and risks of using standardized scales to describe patients, and suggest ways to maintain a complex, three-dimensional, patient evaluation, despite time constraints. Frailty in the ICU is common, involving around 40% of patients over 75. The most commonly used scale is the Clinical Frailty Scale (CFS), a rapid substitute for Comprehensive Geriatric Assessment (CGA). Significant associations exist between the CFS-scale and both short and long-term mortality, as well as long-term outcomes, such as loss of functional ability and being discharged home. The CFS became a mainstream tool newly used for triage during the Covid-19 pandemic, in response to the pressure on healthcare systems. It was found to be significantly associated with in-hospital mortality. The improper use of scales may lead to hastened decision-making, especially when there are strains on healthcare resources or time-constraints. Being aware of theses biases is essential to facilitate older adults' access to equitable decision-making regarding critical care. The aim is to help counteract assessments which may be abridged by time and organisational constraints.
Collapse
Affiliation(s)
- L Moïsi
- Department of Geriatrics, Hopital Saint-Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), Sorbonne Université, 75012, Paris, France.
- UVSQ, INSERM, Centre de Recherche en Epidémiologie Et Santé Des Populations, UMR 1018, Université Paris-Saclay, Université Paris-Sud, Villejuif, France.
- Département d'éthique, Faculté de Médecine, Sorbonne Université, Paris, France.
- Service de Gériatrie Aigue, Hopital St Antoine, 184 rue du Fbg St Antoine, 75012, Paris, France.
| | - J-C Mino
- UVSQ, INSERM, Centre de Recherche en Epidémiologie Et Santé Des Populations, UMR 1018, Université Paris-Saclay, Université Paris-Sud, Villejuif, France
- Département d'éthique, Faculté de Médecine, Sorbonne Université, Paris, France
| | - B Guidet
- Service de Réanimation Médicale, Hopital Saint-Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), 184 Rue du Faubourg Saint-Antoine, 75012, Paris, France
- INSERM, UMRS 1136, Institute Pierre Louis d'Épidémiologie Et de Santé Publique, 75013, Paris, France
| | - H Vallet
- Department of Geriatrics, Hopital Saint-Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), Sorbonne Université, 75012, Paris, France
- UMRS 1135, Centre d'immunologie Et de Maladies Infectieuses (CIMI), Institut National de La Santé Et de La Recherche Médicale (INSERM), Paris, France
| |
Collapse
|
3
|
Davies TW, Kelly E, van Gassel RJJ, van de Poll MCG, Gunst J, Casaer MP, Christopher KB, Preiser JC, Hill A, Gundogan K, Reintam-Blaser A, Rousseau AF, Hodgson C, Needham DM, Schaller SJ, McClelland T, Pilkington JJ, Sevin CM, Wischmeyer PE, Lee ZY, Govil D, Chapple L, Denehy L, Montejo-González JC, Taylor B, Bear DE, Pearse RM, McNelly A, Prowle J, Puthucheary ZA. A systematic review and meta-analysis of the clinimetric properties of the core outcome measurement instruments for clinical effectiveness trials of nutritional and metabolic interventions in critical illness (CONCISE). Crit Care 2023; 27:450. [PMID: 37986015 PMCID: PMC10662687 DOI: 10.1186/s13054-023-04729-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/09/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND CONCISE is an internationally agreed minimum set of outcomes for use in nutritional and metabolic clinical research in critically ill adults. Clinicians and researchers need to be aware of the clinimetric properties of these instruments and understand any limitations to ensure valid and reliable research. This systematic review and meta-analysis were undertaken to evaluate the clinimetric properties of the measurement instruments identified in CONCISE. METHODS Four electronic databases were searched from inception to December 2022 (MEDLINE via Ovid, EMBASE via Ovid, CINAHL via Healthcare Databases Advanced Search, CENTRAL via Cochrane). Studies were included if they examined at least one clinimetric property of a CONCISE measurement instrument or recognised variation in adults ≥ 18 years with critical illness or recovering from critical illness in any language. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist for systematic reviews of Patient-Reported Outcome Measures was used. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses were used in line with COSMIN guidance. The COSMIN checklist was used to evaluate the risk of bias and the quality of clinimetric properties. Overall certainty of the evidence was rated using a modified Grading of Recommendations, Assessment, Development and Evaluation approach. Narrative synthesis was performed and where possible, meta-analysis was conducted. RESULTS A total of 4316 studies were screened. Forty-seven were included in the review, reporting data for 12308 participants. The Short Form-36 Questionnaire (Physical Component Score and Physical Functioning), sit-to-stand test, 6-m walk test and Barthel Index had the strongest clinimetric properties and certainty of evidence. The Short Physical Performance Battery, Katz Index and handgrip strength had less favourable results. There was limited data for Lawson Instrumental Activities of Daily Living and the Global Leadership Initiative on Malnutrition criteria. The risk of bias ranged from inadequate to very good. The certainty of the evidence ranged from very low to high. CONCLUSIONS Variable evidence exists to support the clinimetric properties of the CONCISE measurement instruments. We suggest using this review alongside CONCISE to guide outcome selection for future trials of nutrition and metabolic interventions in critical illness. TRIAL REGISTRATION PROSPERO (CRD42023438187). Registered 21/06/2023.
Collapse
Affiliation(s)
- T W Davies
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK.
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK.
| | - E Kelly
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| | - R J J van Gassel
- Department of Intensive Care Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Surgery, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - M C G van de Poll
- Department of Intensive Care Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Surgery, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - J Gunst
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Louvain, Belgium
| | - M P Casaer
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Louvain, Belgium
| | - K B Christopher
- Division of Renal Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - J C Preiser
- Medical Direction, Erasme University Hospital, Universite Libre de Bruxelles, Brussels, Belgium
| | - A Hill
- Department of Intensive Care Medicine, University Hospital RWTH, 52074, Aachen, Germany
- Department of Anesthesiology, University Hospital RWTH, 52074, Aachen, Germany
| | - K Gundogan
- Division of Intensive Care Medicine, Department of Internal Medicine, Erciyes University School of Medicine, Kayseri, Turkey
| | - A Reintam-Blaser
- Department of Anaesthesiology and Intensive Care, University of Tartu, Tartu, Estonia
- Department of Intensive Care Medicine, Lucerne Cantonal Hospital, Lucerne, Switzerland
| | - A-F Rousseau
- Department of Intensive Care, University Hospital of Liège, Liege, Belgium
| | - C Hodgson
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, 3/553 St Kilda Rd, Melbourne, VIC, 3004, Australia
- Department of Intensive Care and Hyperbaric Medicine, The Alfred, Melbourne, VIC, Australia
| | - D M Needham
- Outcomes After Critical Illness and Surgery (OACIS) Research Group, Johns Hopkins University, Baltimore, MD, USA
- Pulmonary and Critical Care Medicine, Department of Medicine, and Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S J Schaller
- Department of Anesthesiology and Intensive Care Medicine (CVK, CCM), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
- Department of Anesthesiology and Intensive Care, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
| | - T McClelland
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| | - J J Pilkington
- Centre for Bioscience, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester, UK
| | - C M Sevin
- Department of Medicine, Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - P E Wischmeyer
- Department of Anesthesiology, Duke University School of Medicine, DUMC, Box 3094 Mail # 41, 2301 Erwin Road, Durham, NC, 5692 HAFS27710, USA
| | - Z Y Lee
- Department of Anesthesiology, University of Malaya, Kuala Lumpur, Malaysia
- Department of Cardiac, Anesthesiology & Intensive Care Medicine, Charité, Berlin, Germany
| | - D Govil
- Institute of Critical Care and Anesthesia, Medanta: The Medicty, Gurugram, Haryana, India
| | - L Chapple
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - L Denehy
- School of Health Sciences, The University of Melbourne, Melbourne, Australia
- Department of Allied Health, Peter McCallum Cancer Centre, Melbourne, Australia
| | - J C Montejo-González
- Instituto de Investigación I+12, Hospital Universitario, 12 de Octubre, Madrid, Spain
| | - B Taylor
- Department of Research for Patient Care Services, Barnes-Jewish Hospital, St. Louis, MO, USA
| | - D E Bear
- Department of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Department of Nutrition and Dietetics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - R M Pearse
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| | - A McNelly
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - J Prowle
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| | - Z A Puthucheary
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| |
Collapse
|
4
|
Lee YL, Ha SO, Park YS, Yi JH, Hur SB, Lee KH, Hong KY, Sin JY, Kim DH, Cha JK, Kim JH. Baseline and clinical characteristics of older adults admitted to the intensive care unit through the emergency room: Analysis based on age groups. HONG KONG J EMERG ME 2019. [DOI: 10.1177/1024907919880442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background and Objectives: There is currently no consensus on the criteria for admitting older adults to the intensive care unit. Methods: This single-center retrospective study evaluated the baseline and clinical characteristics of older adults admitted to the intensive care unit between January 2017 and June 2017; patients were analyzed according to their age group. Factors associated with in-hospital mortality were specifically determined using logistic regression analysis. Results: Among 582 patients included in the present study, 34.2%, 46.6%, and 19.2% were aged 65–74, 75–84, and over 84 years, respectively. In terms of clinical outcomes, although there were no significant differences in the length of intensive care unit and hospital stay and intensive care unit mortality, significant differences were observed in terms of in-hospital mortality, hospital discharge disposition, and neurologic outcomes at discharge ( p = 0.039, p = 0.005, and p = 0.032, respectively). Predictive factors for in-hospital mortality were age (⩾85 years), initial mental status (stupor to coma), a Korean Triage and Acuity Scale level of 1, underlying diagnosis of cancer, abdominal pain or discomfort, apnea, and a chief compliant of dyspnea. Conclusion: Compared to those aged 65–84 years, in-hospital mortality was 1.96-fold higher in those aged over 84 years. However, the overall mortality in our cohort was not considerably different from that of the younger population. Intensive care unit admission should be considered in selected older adults after evaluating the risk factors for mortality.
Collapse
Affiliation(s)
- Ye Lim Lee
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Sang Ook Ha
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Young Sun Park
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Jeong Hyeon Yi
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Sun Beom Hur
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Ki Ho Lee
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Ki Yong Hong
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Ju Young Sin
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Duk Hwan Kim
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Jun Kwon Cha
- Department of Emergency Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| | - Jin Hyuck Kim
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Anyang, Republic of Korea
| |
Collapse
|
5
|
Abstract
RATIONALE Poor functional status is common after critical illness, and can adversely impact the abilities of intensive care unit (ICU) survivors to live independently. Instrumental activities of daily living (IADL), which encompass complex tasks necessary for independent living, are a particularly important component of post-ICU functional outcome. OBJECTIVES To conduct a systematic review of studies evaluating IADLs in survivors of critical illness. METHODS We searched PubMed, CINAHL, Cochrane Library, SCOPUS, and Web of Science for all relevant English-language studies published through December 31, 2016. Additional articles were identified from personal files and reference lists of eligible studies. Two trained researchers independently reviewed titles and abstracts, and potentially eligible full text studies. Eligible studies included those enrolling adult ICU survivors with IADL assessments, using a validated instrument. We excluded studies involving specific ICU patient populations, specialty ICUs, those enrolling fewer than 10 patients, and those that were not peer-reviewed. Variables related to IADLs were reported using the Patient Reported Outcomes Measurement Information System (PROMIS). RESULTS Thirty of 991 articles from our literature search met inclusion criteria, and 23 additional articles were identified from review of reference lists and personal files. Sixteen studies (30%) published between 1999 and 2016 met eligibility criteria and were included in the review. Study definitions of impairment in IADLs were highly variable, as were reported rates of pre-ICU IADL dependencies (7-85% of patients). Eleven studies (69%) found that survivors of critical illness had new or worsening IADL dependencies. In three of four longitudinal studies, survivors with IADL dependencies decreased over the follow-up period. Across multiple studies, no risk factors were consistently associated with IADL dependency. CONCLUSIONS Survivors of critical illness commonly experience new or worsening IADL dependency that may improve over time. As part of ongoing efforts to understand and improve functional status in ICU survivors, future research must focus on risk factors for IADL dependencies and interventions to improve these cognitive and physical dependencies after critical illness.
Collapse
|
6
|
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.
Collapse
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
| |
Collapse
|
7
|
Rivera-Lopez R, Gutierrez-Rodriguez R, Lopez-Caler C, Aguilar-Alonso E, Castillo-Lorente E, Garcia-Delgado M, Arias-Verdu MD, Iglesias-Posadilla D, Barrueco-Francioni JE, Quesada-Garcia G, Rivera-Fernandez R. Relationship between functional status prior to onset of critical illness and mortality: a prospective multicentre cohort study. Anaesth Intensive Care 2017; 45:351-358. [PMID: 28486893 DOI: 10.1177/0310057x1704500310] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This prospective study aimed to assess the association between prior functional status and hospital mortality for patients admitted to four intensive care units in Spain between 2006 and 2012. Prior functional status was classified into three groups, using a modification of the Glasgow Outcome Scale (GOS), including group 1 with no limitations on activities of daily living; group 2 with some limitations but self-sufficient; and group 3 who were dependent on others for their activities of daily living. Of the 1,757 patients considered (mean Simplified Acute Physiology Score [SAPS] predicted mortality 14.8% and hospital mortality 13.7%), group 1 had the lowest observed hospital mortality (8.3%) compared to the SAPS 3 predicted mortality (11.6%). The observed mortality for group 2 (20.6%) and group 3 (27.4%) were both higher than predicted (19.2% and 21.2% respectively; odds ratio [OR] 1.97, 95% confidence interval [CI] 1.38-2.82 for group 2 and OR 2.90, 95% CI 1.78-4.72 for group 3 compared to group 1). Combining prior functional status and Sequential Organ Failure Assessment (SOFA) score with SAPS 3 further improved the ability of the SAPS 3 scores in predicting hospital mortality (area under the receiver operating characteristic curve 0.85 [95% CI 0.82-0.88] versus 0.84 [95% CI 0.81-0.87] respectively). In summary, patients with limited functional status prior to ICU admission had a higher risk of observed hospital mortality than predicted. Assessing prior functional status using a relatively simple questionnaire, such as a modified GOS, has the potential to improve the accuracy of existing prognostic models.
Collapse
Affiliation(s)
- R Rivera-Lopez
- Cardiologist, Cardiology Care Unit, Hospital Virgen de las Nieves, Granada, Spain
| | | | - C Lopez-Caler
- Intensivist, Intensivist, Intensive Care Unit, Hospital Regional Carlos Haya, Málaga, Spain
| | - E Aguilar-Alonso
- Intensivist, Intensive Care Unit, Hospital Infanta Margarita, Andalusian Health Service, Cordoba, Spain
| | - E Castillo-Lorente
- Intensivist, Intensive Care Unit, Hospital Neurotraumatológico, Jaén, Spain
| | - M Garcia-Delgado
- Intensivist, Intensive Care Unit, Hospital Virgen de las Nieves, Granada, Spain
| | - M D Arias-Verdu
- Intensivist, Intensive Care Unit, Hospital Regional Carlos Haya, Málaga, Spain
| | | | | | - G Quesada-Garcia
- Intensivist, Intensive Care Unit, Hospital Regional Carlos Haya, Málaga, Spain
| | | |
Collapse
|
8
|
Coexisting with dependence and well-being: the results of a pilot study intervention on 75-99-year-old individuals. Int Psychogeriatr 2016; 28:2067-2078. [PMID: 27605494 DOI: 10.1017/s1041610216001277] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The objective of this study is to design and implement an intervention program centered on preventing functional dependence. METHODS A pre/post quasi-experimental (typical case) design study with a control group was conducted on a group of 75-90-year-old individuals with functional dependence (n = 59) at three nursing homes in Madrid (Spain). The intervention program consists of two types of activities developed simultaneously. Some focused on emotional well-being (nine 90-minute sessions, once per week), whereas others focused on improving participants' physical condition (two 30-minute sessions, twice per week). The simple randomized participants included 59 elderly individuals (Intervention Group = 30, Control Group = 29) (mean age 86.80) [SD, 5. 19]. RESULTS Fifty-nine participants were analyzed. The results indicate that the program is effective in improving mood, lowering anxiety levels (d = 0.81), and increasing both self-esteem (d = 0.65) and the perception of self-efficacy (d = 1.04). There are improvements in systolic pressure and functional dependence levels are maintained. Linear simple regression (independent variable pre-Barthel) shows that the pre-intervention dependence level can predict self-esteem after the intervention. CONCLUSION We have demonstrated that the program is innovative with regard to bio-psychosocial care in elderly individuals, is based on actual practice, and is effective in increasing both self-esteem and self-efficacy. These variables positively affect functional capabilities and delay functional dependence.
Collapse
|
9
|
Kim J, Choi SM, Park YS, Lee CH, Lee SM, Yim JJ, Yoo CG, Kim YW, Han SK, Lee J. Factors influencing the initiation of intensive care in elderly patients and their families: A retrospective cohort study. Palliat Med 2016; 30:789-99. [PMID: 26934945 DOI: 10.1177/0269216316634241] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND The number of elderly patients admitted to the intensive care unit is constantly growing. However, a decision regarding intensive care in these populations remains a challenge. AIM To identify factors that influences the decision of elderly patients and their families about whether to initiate intensive care in case of an acute event. DESIGN/PARTICIPANTS Medical records of patients (>80 years), who were admitted to general wards and referred for intensive care, were retrospectively reviewed. Patients who received intensive care were compared with those not agreeing to the initiation of intensive care. RESULTS Among the 125 patients, 45 agreed to receiving intensive care. Baseline characteristics at the time of intensive care unit referral were similar between the intensive care and non-intensive care groups. Only one patient had advance directives before the intensive care unit referral. Lower economic status (odds ratio = 0.27, 95% confidence interval = 0.08-0.94) and cognitive impairment (odds ratio = 0.20, 95% confidence interval = 0.07-0.56) were found associated with a lower likelihood of agreeing to intensive care, while a large number of participants involved in the decision-making process were associated with a higher likelihood of intensive care unit use (odds ratio = 1.82, 95% confidence interval = 1.08-3.09). Mean duration of hospital stay was longer for the intensive care group as compared with the non-intensive care group (28.8 days and 19.8 days, respectively, p = 0.03). However, there was no significant difference in the survival rate. CONCLUSION The initiation of intensive care in elderly patients was influenced not only by medical conditions but also by the patient's economic status and the number of family members involved in the decision-making process.
Collapse
Affiliation(s)
- Junghyun Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sun Mi Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Young Sik Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chang-Hoon Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sang-Min Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jae-Joon Yim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chul-Gyu Yoo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Young Whan Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sung Koo Han
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jinwoo Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| |
Collapse
|
10
|
Reyes JCL, Alonso JV, Fonseca J, Santos ML, Jiménez MDLÁRC, Braniff J. Characteristics and mortality of elderly patients admitted to the Intensive Care Unit of a district hospital. Indian J Crit Care Med 2016; 20:391-7. [PMID: 27555692 PMCID: PMC4968060 DOI: 10.4103/0972-5229.186219] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
AIM To study all the elderly patients (≥75 years) who were admitted in an Intensive Care Unit (ICU) of a Spanish hospital and identify factors associated with mortality. PATIENTS AND METHODS A retrospective, observational data collected prospectively in patients ≥75 years recruited from the ICU in the period of January 2004 to December 2010. RESULTS During the study period, 1661 patients were admitted to our unit, of whom 553 (33.3%) were older than 75 years. The mean age was 79.9 years, 317 (57.3%) were male, and the overall in-hospital mortality was 94 patients (17% confidence interval 14-20.3%). When comparing patients who survived to those who died, we found significant differences in mean age (P = 0.001), Acute Physiologic Assessment and Chronic Health Evaluation II and Simplified Acute Physiology Scoring II (SAPS II) on admission (P < 0.0001, postoperative patients (P = 0.001), and need for mechanical ventilation (P < 0.0001). Comparing age groups, we found statistically significant differences in SAPS II (P = 0.007), diagnosis of non-ST-segment elevation myocardial infarction (P = 0.014), complicated postoperative period (P = 0.001), and pacemaker (P = 0.034). Mortality between the groups was statistically significant (P = 0.004). The survival between the group of 65 and 74 years and patients >75 years was not significant (P = 0.1390). CONCLUSIONS The percentage of elderly patients in our unit is high, with low mortality rates. The age itself is not the sole determinant for admission to the ICU and other factors should be taken into account.
Collapse
Affiliation(s)
- José Carlos Llamas Reyes
- Department of Emergency and Critical Care Medicine, Hospital Comarcal Valle de los Pedroches de Pozoblanco, Cordoba, Spain
| | - Joaquín Valle Alonso
- Department of Accident and Emergency Medicine, Southport and Formby District General Hospital, Merseyside PR8 6PN, UK
| | - Javier Fonseca
- Department of Family Medicine, Centro de Salud Montoro, Cordoba, Spain
| | - Margarita Luque Santos
- Department of Emergency and Critical Care Medicine, Hospital Comarcal Valle de los Pedroches de Pozoblanco, Cordoba, Spain
| | | | - Jay Braniff
- Department of Accident and Emergency Medicine, Southport and Formby District General Hospital, Merseyside PR8 6PN, UK
| |
Collapse
|
11
|
Ladha KS, Zhao K, Quraishi SA, Kurth T, Eikermann M, Kaafarani HMA, Klein EN, Seethala R, Lee J. The Deyo-Charlson and Elixhauser-van Walraven Comorbidity Indices as predictors of mortality in critically ill patients. BMJ Open 2015; 5:e008990. [PMID: 26351192 PMCID: PMC4563218 DOI: 10.1136/bmjopen-2015-008990] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES Our primary objective was to compare the utility of the Deyo-Charlson Comorbidity Index (DCCI) and Elixhauser-van Walraven Comorbidity Index (EVCI) to predict mortality in intensive care unit (ICU) patients. SETTING Observational study of 2 tertiary academic centres located in Boston, Massachusetts. PARTICIPANTS The study cohort consisted of 59,816 patients from admitted to 12 ICUs between January 2007 and December 2012. PRIMARY AND SECONDARY OUTCOME For the primary analysis, receiver operator characteristic curves were constructed for mortality at 30, 90, 180, and 365 days using the DCCI as well as EVCI, and the areas under the curve (AUCs) were compared. Subgroup analyses were performed within different types of ICUs. Logistic regression was used to add age, race and sex into the model to determine if there was any improvement in discrimination. RESULTS At 30 days, the AUC for DCCI versus EVCI was 0.65 (95% CI 0.65 to 0.67) vs 0.66 (95% CI 0.65 to 0.66), p=0.02. Discrimination improved at 365 days for both indices (AUC for DCCI 0.72 (95% CI 0.71 to 0.72) vs AUC for EVCI 0.72 (95% CI 0.72 to 0.72), p=0.46). The DCCI and EVCI performed similarly across ICUs at all time points, with the exception of the neurosciences ICU, where the DCCI was superior to EVCI at all time points (1-year mortality: AUC 0.73 (95% CI 0.72 to 0.74) vs 0.68 (95% CI 0.67 to 0.70), p=0.005). The addition of basic demographic information did not change the results at any of the assessed time points. CONCLUSIONS The DCCI and EVCI were comparable at predicting mortality in critically ill patients. The predictive ability of both indices increased when assessing long-term outcomes. Addition of demographic data to both indices did not affect the predictive utility of these indices. Further studies are needed to validate our findings and to determine the utility of these indices in clinical practice.
Collapse
Affiliation(s)
- Karim S Ladha
- Division of Critical Care Medicine, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts, USA
| | - Kevin Zhao
- Division of Critical Care Medicine, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sadeq A Quraishi
- Division of Critical Care Medicine, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts, USA
| | - Tobias Kurth
- Inserm Research Center for Epidemiology and Biostatistics (U897), Bordeaux, France
- College for Health Sciences, University of Bordeaux, Bordeaux, France
| | - Matthias Eikermann
- Division of Critical Care Medicine, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts, USA
| | - Haytham M A Kaafarani
- Division of Trauma, Emergency Surgery and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Surgery, Harvard Medical School, Boston, Massachusetts, USA
| | - Eric N Klein
- Department of Surgery, Hartford Hospital, Hartford, Connecticut, USA
| | - Raghu Seethala
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jarone Lee
- Division of Trauma, Emergency Surgery and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Surgery, Harvard Medical School, Boston, Massachusetts, USA
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| |
Collapse
|
12
|
Chaves SS, Pérez A, Miller L, Bennett NM, Bandyopadhyay A, Farley MM, Fowler B, Hancock EB, Kirley PD, Lynfield R, Ryan P, Morin C, Schaffner W, Sharangpani R, Lindegren ML, Tengelsen L, Thomas A, Hill MB, Bradley KK, Oni O, Meek J, Zansky S, Widdowson MA, Finelli L. Impact of Prompt Influenza Antiviral Treatment on Extended Care Needs After Influenza Hospitalization Among Community-Dwelling Older Adults. Clin Infect Dis 2015; 61:1807-14. [PMID: 26334053 DOI: 10.1093/cid/civ733] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Accepted: 08/11/2015] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Patients hospitalized with influenza may require extended care on discharge. We aimed to explore predictors for extended care needs and the potential mitigating effect of antiviral treatment among community-dwelling adults aged ≥ 65 years hospitalized with influenza. METHODS We used laboratory-confirmed influenza hospitalizations from 3 influenza seasons. Extended care was defined as new placement in a skilled nursing home/long-term/rehabilitation facility on hospital discharge. We focused on those treated with antiviral agents to explore the effect of early treatment on extended care and hospital length of stay using logistic regression and competing risk survival analysis, accounting for time from illness onset to hospitalization. Treatment was categorized as early (≤ 4 days) or late (>4 days) in reference to date of illness onset. RESULTS Among 6593 community-dwelling adults aged ≥ 65 years hospitalized for influenza, 18% required extended care at discharge. The need for care increased with age and neurologic disorders, intensive care unit admission, and pneumonia were predictors of care needs. Early treatment reduced the odds of extended care after hospital discharge for those hospitalized ≤ 2 or >2 days from illness onset (adjusted odds ratio, 0.38 [95% confidence interval {CI}, .17-.85] and 0.75 [.56-.97], respectively). Early treatment was also independently associated with reduction in length of stay for those hospitalized ≤ 2 days from illness onset (adjusted hazard ratio, 1.81; 95% CI, 1.43-2.30) or >2 days (1.30; 1.20-1.40). CONCLUSIONS Prompt antiviral treatment decreases the impact of influenza on older adults through shorten hospitalization and reduced extended care needs.
Collapse
Affiliation(s)
- Sandra S Chaves
- Influenza Division, Centers for Disease Control and Prevention, Atlanta Georgia
| | - Alejandro Pérez
- Influenza Division, Centers for Disease Control and Prevention, Atlanta Georgia
| | - Lisa Miller
- Colorado Department of Public Health and Environment, Denver
| | - Nancy M Bennett
- Department of Medicine, University of Rochester School of Medicine and Dentistry, New York
| | | | - Monica M Farley
- Department of Medicine, Emory University School of Medicine, Atlanta Atlanta Veterans Affairs Medical Center, Georgia
| | | | | | | | | | - Patricia Ryan
- Maryland Department of Health and Mental Hygiene, Baltimore
| | | | | | | | | | | | | | | | | | | | - James Meek
- Connecticut Emerging Infections Program, Yale School of Public Health, New Haven
| | - Shelley Zansky
- Emerging Infections Program, New York State Department of Health, Albany
| | | | - Lyn Finelli
- Influenza Division, Centers for Disease Control and Prevention, Atlanta Georgia
| |
Collapse
|
13
|
Abstract
OBJECTIVE To review how disability can develop in older adults with critical illness and to explore ways to reduce long-term disability following critical illness. DATA SOURCES We searched PubMed, CINAHL, Web of Science and Google Scholar for studies reporting disability outcomes (i.e., activities of daily living, instrumental activities of daily living, and mobility activities) and/or cognitive outcomes among patients treated in an ICU who were 65 years or older. We also reviewed the bibliographies of relevant citations to identify additional citations. STUDY SELECTION We identified 19 studies evaluating disability outcomes in critically ill patients who were 65 years and older. DATA EXTRACTION Descriptive epidemiologic data on disability after critical illness. DATA SYNTHESIS Newly acquired disability in activities of daily living, instrumental activities of daily living, and mobility activities was commonplace among older adults who survived a critical illness. Incident dementia and less severe cognitive impairment were also highly prevalent. Factors related to the acute critical illness, ICU practices, such as heavy sedation, physical restraints, and immobility, as well as aging physiology, and coexisting geriatric conditions can combine to result in these poor outcomes. CONCLUSIONS Older adults who survive critical illness have physical and cognitive declines resulting in disability at greater rates than hospitalized, noncritically ill and community dwelling older adults. Interventions derived from widely available geriatric care models in use outside of the ICU, which address modifiable risk factors including immobility and delirium, are associated with improved functional and cognitive outcomes and can be used to complement ICU-focused models such as the ABCDEs.
Collapse
|
14
|
Ferrante LE, Pisani MA, Murphy TE, Gahbauer EA, Leo-Summers LS, Gill TM. Functional trajectories among older persons before and after critical illness. JAMA Intern Med 2015; 175:523-9. [PMID: 25665067 PMCID: PMC4467795 DOI: 10.1001/jamainternmed.2014.7889] [Citation(s) in RCA: 244] [Impact Index Per Article: 27.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
IMPORTANCE Little is known about functional trajectories of older persons in the year before and after admission to the intensive care unit (ICU) or how pre-ICU functional trajectories affect post-ICU functional trajectories and death. OBJECTIVES To characterize functional trajectories in the year before and after ICU admission and to evaluate the associations among pre-ICU functional trajectories and post-ICU functional trajectories, short-term mortality, and long-term mortality. DESIGN, SETTING, AND PARTICIPANTS Prospective cohort study of 754 community-dwelling persons 70 years or older, conducted between March 23, 1998, and December 31, 2012, in greater New Haven, Connecticut. The analytic sample included 291 participants who had at least 1 admission to an ICU through December 2011. MAIN OUTCOMES AND MEASURES Functional trajectories in the year before and after an ICU admission based on 13 basic, instrumental, and mobility activities. Additional outcomes included short-term (30 day) and long-term (1 year) mortality. RESULTS The mean (SD) age of participants was 83.7 (5.5) years. Three distinct pre-ICU functional trajectories identified were minimal disability (29.6%), mild to moderate disability (44.0%), and severe disability (26.5%). Seventy participants (24.1%) experienced early death, defined as death in the hospital (50 participants [17.2%]) or death after hospital discharge but within 30 days of admission (20 participants [6.9%]). Among the remaining 221 participants, 3 distinct post-ICU functional trajectories identified were minimal disability (20.8%), mild to moderate disability (28.1%), and severe disability (51.1%). More than half of the participants (53.4%) experienced functional decline or early death after critical illness. The pre-ICU functional trajectories of mild to moderate disability and severe disability were associated with more than double (adjusted hazard ratio [HR], 2.41; 95% CI, 1.29-4.50) and triple (adjusted HR, 3.84; 95% CI, 1.84-8.03) the risk of death within 1 year of ICU admission, respectively. Other factors associated with 1-year mortality included ICU length of stay (adjusted HR, 1.03; 95% CI, 1.00-1.05), mechanical ventilation (adjusted HR, 2.89; 95% CI, 1.91-4.37), and shock (adjusted HR, 2.68; 95% CI, 1.63-4.38). CONCLUSIONS AND RELEVANCE Among older persons with critical illness, more than half died within 1 month or experienced significant functional decline over the following year, with particularly poor outcomes in those who had high levels of premorbid disability. These results may help to inform discussions about prognosis and goals of care before and during critical illness.
Collapse
Affiliation(s)
- Lauren E Ferrante
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Margaret A Pisani
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Terrence E Murphy
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Evelyne A Gahbauer
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Linda S Leo-Summers
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Thomas M Gill
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| |
Collapse
|
15
|
Parry SM, Granger CL, Berney S, Jones J, Beach L, El-Ansary D, Koopman R, Denehy L. Assessment of impairment and activity limitations in the critically ill: a systematic review of measurement instruments and their clinimetric properties. Intensive Care Med 2015; 41:744-62. [PMID: 25652888 DOI: 10.1007/s00134-015-3672-x] [Citation(s) in RCA: 120] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Accepted: 01/16/2015] [Indexed: 01/05/2023]
Abstract
PURPOSE To identify measures used to evaluate the broad constructs of functional impairment and limitations in the critically ill across the continuum of recovery, and to evaluate, synthesise and compare the clinimetric properties of the measures identified. METHODS A systematic review of articles was carried out using the databases Medline (1950-2014), CINAHL (1982-2014), EMBASE (1980-2014), Cochrane Library (2014) and Scopus (1960-2014). Additional studies were identified by searching personal files. Eligibility criteria for selection: Search 1: studies which assessed muscle mass, strength or function using objective non-laboratory measures; Search 2: studies which evaluated a clinimetric property (reliability, measurement error, validity or responsiveness) for one of the measures identified in search one. Two independent reviewers assessed articles for inclusion and assessed risk of bias using the consensus-based standards for selection of health status measurement instruments checklist. RESULTS Thirty-three measures were identified; however, only 20 had established clinimetric properties. Ultrasonography, dynamometry, physical function in intensive care test scored and the Chelsea critical care physical assessment tool performed the strongest for the measurement of impairment of body systems (muscle mass and strength) and activity limitations (physical function), respectively. CONCLUSIONS There is considerable variability in the type of measures utilized to measure physical impairments and limitations in survivors of critical illness. Future work should identify a core set of standardized measures, which can be utilized across the continuum of critical illness recovery embedded within the International Classification of Functioning framework. This will enable improved comparisons between future studies, which in turn will assist in identifying the most effective treatment strategies to ameliorate the devastating longer-term outcomes of a critical illness.
Collapse
Affiliation(s)
- Selina M Parry
- Department of Physiotherapy, School of Health Sciences, The University of Melbourne, Level 7 Alan Gilbert Building, Parkville, Melbourne, VIC, 3010, Australia,
| | | | | | | | | | | | | | | |
Collapse
|
16
|
Verdan C, Casarsa D, Perrout MR, Santos M, Alves de Souza J, Nascimento O, Freire Coutinho ES, Laks J. Lower mortality rate in people with dementia is associated with better cognitive and functional performance in an outpatient cohort. ARQUIVOS DE NEURO-PSIQUIATRIA 2014; 72:278-82. [PMID: 24760091 DOI: 10.1590/0004-282x20140003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Accepted: 12/02/2013] [Indexed: 11/21/2022]
Abstract
UNLABELLED We describe a three-year experience with patients with dementia. METHOD clinical, cognitive and functional evaluation was performed by a multidisciplinary team for persons above 60 years. Mortality was assessed after three years. RESULTS Mini-Mental State Examination (MMSE) (n=2,074) was 15.7 (8.4). Male patients MMSE (n=758) was 15.6 (8.3) and female's (n=1315) was 15.8 (8.3). Instrumental Activities of Daily Living Scale (n=2023) was 16.5 (7.6); females (n=1277) was 16.9 (7.2) and males (n=745) was 15.7(8.2). From these patients, 12.6% (n=209) died within three years. Baseline cognition of patients still alive was higher (p<0.001) than MMSE of those who died [MMSE=16.3 (8.1) vs. 10.6 (7.6)]. Mortality rate decreased 6% (IR=0.94) for each additional point on MMSE. Higher functional status decreases the mortality rate approximately 11% (IR=0.89) independently of age, gender, and education. CONCLUSION Three-year mortality rates are dependent on baseline functional and cognitive status.
Collapse
Affiliation(s)
- Carolina Verdan
- Centro de Doença de Alzheimer e Parkinson, Campos dos Goytacazes, RJ, Brazil
| | - Deborah Casarsa
- Centro de Doença de Alzheimer e Parkinson, Campos dos Goytacazes, RJ, Brazil
| | | | - Marisa Santos
- Instituto Nacional de Cardiologia, Ministério da Saúde, Rio de Janeiro, RJ, Brazil
| | - Jano Alves de Souza
- Departamento de Neurologia, Universidade Federal Fluminense, Niterói, RJ, Brazil
| | - Osvaldo Nascimento
- Departamento de Neurologia, Universidade Federal Fluminense, Niterói, RJ, Brazil
| | | | - Jerson Laks
- Centro de Estudo e Pesquisa do Envelhecimento, Instituto Vital Brazil, Niterói, RJ, Brazil
| |
Collapse
|
17
|
Pintado MC, Villa P, González-García N, Luján J, Molina R, Trascasa M, López-Ramos E, Martínez C, Cambronero JA, de Pablo R. Characteristics and outcomes of elderly patients refused to ICU. ScientificWorldJournal 2013; 2013:590837. [PMID: 24453879 PMCID: PMC3886377 DOI: 10.1155/2013/590837] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Accepted: 10/01/2013] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND There are few data regarding the process of deciding which elderly patients are refused to ICU admission, their characteristics, and outcome. METHODS Prospective longitudinal observational cohort study. We included all consecutive patients older than 75 years, who were evaluated for admission to but were refused to treatment in ICU, during 18 months, with 12-month followup. We collected demographic data, ICU admission/refusal reasons, previous functional and cognitive status, comorbidity, severity of illness, and hospital and 12-month mortality. RESULTS 338 elderly patients were evaluated for ICU admission and 88 were refused to ICU (26%). Patients refused because they were "too ill to benefit" had more comorbidity and worse functional and mental situation than those admitted to ICU; there were no differences in illness severity. Hospital mortality rate of the whole study cohort was 36.3%, higher in patients "too ill to benefit" (55.6% versus 35.8%, P < 0.01), which also have higher 1-year mortality (73.7% versus 42.5%, P < 0.01). High comorbidity, low functional status, unavailable ICU beds, and age were associated with refusal decision on multivariate analysis. CONCLUSIONS Prior functional status and comorbidity, not only the age or severity of illness, can help us more to make the right decision of admitting or refusing to ICU patients older than 75 years.
Collapse
Affiliation(s)
- María-Consuelo Pintado
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
| | - Patricia Villa
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
| | - Natalia González-García
- Palliative Care Unit, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, 28805 Madrid, Spain
| | - Jimena Luján
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
| | - Rocío Molina
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
| | - María Trascasa
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
| | - Esther López-Ramos
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
| | - Cristina Martínez
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
| | - José-Andrés Cambronero
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
| | - Raúl de Pablo
- Intensive Care Unit, Hospital Universitario Príncipe de Asturias, Carretera Alcalá-Meco, s/n, Alcalá de Henares, 28805 Madrid, Spain
- Department of Medicine, University of Alcalá, Alcalá de Henares, 28871 Madrid, Spain
| |
Collapse
|
18
|
Wolters AE, Slooter AJC, van der Kooi AW, van Dijk D. Cognitive impairment after intensive care unit admission: a systematic review. Intensive Care Med 2013. [PMID: 23328935 DOI: 10.1007/s00134‐012‐2784‐9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE There is increasing evidence that critical illness and treatment in an intensive care unit (ICU) may result in significant long-term morbidity. The purpose of this systematic review was to summarize the current literature on long-term cognitive impairment in ICU survivors. METHODS PubMed/MEDLINE, CINAHL, Cochrane Library, PsycINFO and Embase were searched from January 1980 until July 2012 for relevant articles evaluating cognitive functioning after ICU admission. Publications with an adult population and a follow-up duration of at least 2 months were eligible for inclusion in the review. Studies in cardiac surgery patients or subjects with brain injury or cardiac arrest prior to ICU admission were excluded. The main outcome measure was cognitive functioning. RESULTS The search strategy identified 1,128 unique studies, of which 19 met the selection criteria and were included. Only one article compared neuropsychological test performance before and after ICU admission. The 19 studies that were selected reported a wide range of cognitive impairment in 4-62 % of the patients after a follow-up of 2-156 months. CONCLUSION The results of most studies of the studies reviewed suggest that critical illness and ICU treatment are associated with long-term cognitive impairment. Due to the complexity of defining cognitive impairment, it is difficult to standardize definitions and to reach consensus on how to categorize neurocognitive dysfunction. Therefore, the magnitude of the problem is uncertain.
Collapse
Affiliation(s)
- Annemiek E Wolters
- Department of Intensive Care Medicine, University Medical Center Utrecht, Mail Stop F.06.149, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | | | | | | |
Collapse
|
19
|
Cognitive impairment after intensive care unit admission: a systematic review. Intensive Care Med 2013; 39:376-86. [DOI: 10.1007/s00134-012-2784-9] [Citation(s) in RCA: 118] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2011] [Accepted: 10/07/2012] [Indexed: 02/06/2023]
|
20
|
Kuwabara K, Matsuda S, Fushimi K, Ishikawa KB, Horiguchi H, Fujimori K. Associations between the use of critical care procedures and change in functional status at discharge. J Intensive Care Med 2012; 28:296-306. [PMID: 22777898 DOI: 10.1177/0885066612453121] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Quality improvement initiatives in intensive care units (ICUs) have increased survival rates. Changes in functional status following ICU care have been studied, but results are inconclusive because of insufficient consideration of the combinations of critical care procedures used. Using the Japanese administrative database including the Barthel Index (BI) at admission and discharge, we measured the changes in functional status among the adult patients and determined whether longer ICU stay or use of various critical care procedures was associated with functional deterioration. Of the 12 502 528 patients admitted to 1206 hospitals over 5 consecutive years from 2006, we analyzed data from patients aged 15 years or older who survived ICU admission in 320 hospitals. Critical care procedures evaluated were ventilation, blood purification (hemodialysis, hemodiafiltration, or hemadsorption), and cardiac support devices (intra-aortic balloon pump or percutaneous cardiopulmonary support system). Functional outcomes were determined by the difference between BI at admission and at discharge and were divided into improvement, no change, or deterioration. We compared patient characteristics, principal diagnosis, comorbidities, timing of surgical procedure, complications, days in ICU, and use of critical care procedures among the 3 categories. Associations between critical care procedures and functional deterioration were identified using multivariate analysis. Of 234 209 patients with complete BI information, 7137 (3.1%) received blood purification, 27 100 (11.7%) received ventilation, 2888 (1.2%) received blood purification and ventilation, 5613 (2.4%) received a cardiac support device, 247 (0.1%) received a cardiac support device and blood purification, 10 444 (4.5%) received a cardiac support device and ventilation, and 1110 (0.5%) received a cardiac support device, ventilation, and blood purification. Longer use of blood purification or ventilation and a longer ICU stay were associated with functional deterioration. Intensivists should be aware of the effects of critical care procedures on functional deterioration and advance the appropriate use of functional support according to each patient's condition.
Collapse
Affiliation(s)
- Kazuaki Kuwabara
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
| | | | | | | | | | | |
Collapse
|
21
|
Woon FL, Dunn CB, Hopkins RO. Predicting cognitive sequelae in survivors of critical illness with cognitive screening tests. Am J Respir Crit Care Med 2012; 186:333-40. [PMID: 22700858 DOI: 10.1164/rccm.201112-2261oc] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
RATIONALE Survivors of critical illness have a high rate of cognitive impairments that may persist years after hospital discharge. Data are lacking regarding whether cognitive screening tests administered at hospital discharge can be used to predict which critically ill patients are likely to have long-term cognitive sequelae. OBJECTIVES This prospective study assessed whether two cognitive screening tests, the Mini-Mental State Examination (MMSE) and Mini-Cog, administered at hospital discharge, predict cognitive sequelae in survivors of critical illness 6 months after hospital discharge. METHODS Seventy critically ill patients completed the MMSE and Mini-Cog just before hospital discharge. Of these 70 patients, 53 completed a neuropsychological battery 6 months after hospital discharge. MEASUREMENTS AND MAIN RESULTS At hospital discharge, 45 patients (64%) had impaired performance on the MMSE (score < 27, mean = 24.4) and 32 (45%) on the Mini-Cog. Twenty-seven patients (39%) were impaired on both the MMSE and Mini-Cog, whereas only 20 patients (28%) had scores in the normal range on both tests. Cognitive sequelae occurred in 57% of survivors (30 of 53) at 6 months, with predominant dysfunction in the memory (38%) and executive (36%) domains. Logistic regression analyses showed that neither the MMSE nor the Mini-Cog predicted cognitive sequelae at 6 months. CONCLUSIONS A large number of critically ill survivors had cognitive impairments, as assessed by the MMSE and Mini-Cog, at hospital discharge. However, the MMSE and Mini-Cog scores did not predict long-term cognitive sequelae at 6-month follow-up and cannot be used as surrogate endpoints for long-term cognitive impairment.
Collapse
Affiliation(s)
- Fu L Woon
- Neuropsychology Section, Department of Psychiatry, University of Michigan, 2101 Commonwealth Boulevard, Suite C, Ann Arbor, MI 48105, USA.
| | | | | |
Collapse
|
22
|
Leone M, Ragonnet B. [Respect the wishes of our elderly]. ANNALES FRANCAISES D'ANESTHESIE ET DE REANIMATION 2012; 31:103-104. [PMID: 22281233 DOI: 10.1016/j.annfar.2011.11.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
|