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The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study.
Guidet, Bertrand; de Lange, Dylan W; Boumendil, Ariane; Leaver, Susannah; Watson, Ximena; Boulanger, Carol; Szczeklik, Wojciech; Artigas, Antonio; Morandi, Alessandro; Andersen, Finn; Zafeiridis, Tilemachos; Jung, Christian; Moreno, Rui; Walther, Sten; Oeyen, Sandra; Schefold, Joerg C; Cecconi, Maurizio; Marsh, Brian; Joannidis, Michael; Nalapko, Yuriy; Elhadi, Muhammed; Fjølner, Jesper; Flaatten, Hans.
Afiliação
  • Guidet B; Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Saint Antoine Hospital, AP-HP, Hôpital Saint-Antoine, service de réanimation, F75012, Paris, France. bertrand.guidet@aphp.fr.
  • de Lange DW; Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands.
  • Boumendil A; AP-HP, Hôpital Saint-Antoine, service de réanimation, F75012, Paris, France.
  • Leaver S; Research Lead Critical Care Directorate St George's Hospital, London, UK.
  • Watson X; St George's University Hospital, London, UK.
  • Boulanger C; Chair NAHP Section ESICM, Intensive Care Unit, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK.
  • Szczeklik W; Intensive Care and Perioperative Medicine Division, Jagiellonian University Medical College, Kraków, Poland.
  • Artigas A; Department of Intensive Care Medicine, CIBER Enfermedades Respiratorias, Sabadell and Critical Care Department, Corporacion Sanitaria Universitaria Parc Tauli, Autonomous University of Barcelona, Sagrado Corazon-General de Cataluña University Hospitals, Quiron Salud, Barcelona, Spain.
  • Morandi A; Department of Rehabilitation Hospital Ancelle di Cremona Italy, Geriatric Research Group, Brescia, Italy.
  • Andersen F; Department of Anaesthesia and Intensive Care, NTNU, Dep of Circulation and Medical Imaging, Ålesund Hospital, Trondheim, Ålesund, Norway.
  • Zafeiridis T; Intensive Care Unit General Hospital of Larissa Tsakalof Larissa, Larissa, Greece.
  • Jung C; Division of Cardiology, Pulmonology and Vascular Medicine, University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.
  • Moreno R; Faculdade de Ciências Médicas de Lisboa (Nova Médical School), Unidade de Cuidados Intensivos Neurocríticos e Trauma. Hospital de São José, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal.
  • Walther S; Linkoping University Hospital, Linkoping, Sweden.
  • Oeyen S; Department of Intensive Care 1K12IC Ghent University Hospital, Ghent, Belgium.
  • Schefold JC; Department of Intensive Care Medicine, Inselspital, Universitätsspital, University of Bern, Bern, Switzerland.
  • Cecconi M; Department of Anesthesia and Intensive Care Medicine, Humanitas Clinical and Research Center - IRCCS, Via Alessandro Manzoni 56, 20089, Rozzano, MI, Italy.
  • Marsh B; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Rozzano, MI, Italy.
  • Joannidis M; Mater Misericordiae University Hospital, Dublin, Ireland.
  • Nalapko Y; Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria.
  • Elhadi M; European Wellness International, ICU, Luhansk, Ukraine.
  • Fjølner J; Alkhums Hospital, ICU, Tripoli, Libya.
  • Flaatten H; Department of Intensive Care, Aarhus University Hospital, Aarhus, Denmark.
Intensive Care Med ; 46(1): 57-69, 2020 01.
Article em En | MEDLINE | ID: mdl-31784798
ABSTRACT

PURPOSE:

Premorbid conditions affect prognosis of acutely-ill aged patients. Several lines of evidence suggest geriatric syndromes need to be assessed but little is known on their relative effect on the 30-day survival after ICU admission. The primary aim of this study was to describe the prevalence of frailty, cognition decline and activity of daily life in addition to the presence of comorbidity and polypharmacy and to assess their influence on 30-day survival.

METHODS:

Prospective cohort study with 242 ICUs from 22 countries. Patients 80 years or above acutely admitted over a six months period to an ICU between May 2018 and May 2019 were included. In addition to common patients' characteristics and disease severity, we collected information on specific geriatric syndromes as potential predictive factors for 30-day survival, frailty (Clinical Frailty scale) with a CFS > 4 defining frail patients, cognitive impairment (informant questionnaire on cognitive decline in the elderly (IQCODE) with IQCODE ≥ 3.5 defining cognitive decline, and disability (measured the activity of daily life with the Katz index) with ADL ≤ 4 defining disability. A Principal Component Analysis to identify co-linearity between geriatric syndromes was performed and from this a multivariable model was built with all geriatric information or only one CFS, IQCODE or ADL. Akaike's information criterion across imputations was used to evaluate the goodness of fit of our models.

RESULTS:

We included 3920 patients with a median age of 84 years (IQR 81-87), 53.3% males). 80% received at least one organ support. The median ICU length of stay was 3.88 days (IQR 1.83-8). The ICU and 30-day survival were 72.5% and 61.2% respectively. The geriatric conditions were median (IQR) CFS 4 (3-6); IQCODE 3.19 (3-3.69); ADL 6 (4-6); Comorbidity and Polypharmacy score (CPS) 10 (7-14). CFS, ADL and IQCODE were closely correlated. The multivariable analysis identified predictors of 1-month mortality (HR; 95% CI) Age (per 1 year increase) 1.02 (1.-1.03, p = 0.01), ICU admission diagnosis, sequential organ failure assessment score (SOFA) (per point) 1.15 (1.14-1.17, p < 0.0001) and CFS (per point) 1.1 (1.05-1.15, p < 0.001). CFS remained an independent factor after inclusion of life-sustaining treatment limitation in the model.

CONCLUSION:

We confirm that frailty assessment using the CFS is able to predict short-term mortality in elderly patients admitted to ICU. Other geriatric syndromes do not add improvement to the prediction model. Since CFS is easy to measure, it should be routinely collected for all elderly ICU patients in particular in connection to advance care plans, and should be used in decision making.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atividades Cotidianas / Comorbidade / Avaliação de Resultados em Cuidados de Saúde / Unidades de Terapia Intensiva Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged80 / Female / Humans / Male País/Região como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atividades Cotidianas / Comorbidade / Avaliação de Resultados em Cuidados de Saúde / Unidades de Terapia Intensiva Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged80 / Female / Humans / Male País/Região como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article