The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study

Abstract Background The COVID-19 pandemic has led highly developed healthcare systems to the brink of collapse due to the large numbers of patients being admitted into hospitals. One of the potential prognostic indicators in patients with COVID-19 is frailty. The degree of frailty could be used to a...

Full description

Bibliographic Details
Main Authors: Christian Jung, Hans Flaatten, Jesper Fjølner, Raphael Romano Bruno, Bernhard Wernly, Antonio Artigas, Bernardo Bollen Pinto, Joerg C. Schefold, Georg Wolff, Malte Kelm, Michael Beil, Sigal Sviri, Peter Vernon van Heerden, Wojciech Szczeklik, Miroslaw Czuczwar, Muhammed Elhadi, Michael Joannidis, Sandra Oeyen, Tilemachos Zafeiridis, Brian Marsh, Finn H. Andersen, Rui Moreno, Maurizio Cecconi, Susannah Leaver, Ariane Boumendil, Dylan W. De Lange, Bertrand Guidet, COVIP study group
Format: Article
Language:English
Published: BMC 2021-04-01
Series:Critical Care
Subjects:
Online Access:https://doi.org/10.1186/s13054-021-03551-3
id doaj-cc56eb45c9fe4788a0d6c8efb8fd5675
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Christian Jung
Hans Flaatten
Jesper Fjølner
Raphael Romano Bruno
Bernhard Wernly
Antonio Artigas
Bernardo Bollen Pinto
Joerg C. Schefold
Georg Wolff
Malte Kelm
Michael Beil
Sigal Sviri
Peter Vernon van Heerden
Wojciech Szczeklik
Miroslaw Czuczwar
Muhammed Elhadi
Michael Joannidis
Sandra Oeyen
Tilemachos Zafeiridis
Brian Marsh
Finn H. Andersen
Rui Moreno
Maurizio Cecconi
Susannah Leaver
Ariane Boumendil
Dylan W. De Lange
Bertrand Guidet
COVIP study group
spellingShingle Christian Jung
Hans Flaatten
Jesper Fjølner
Raphael Romano Bruno
Bernhard Wernly
Antonio Artigas
Bernardo Bollen Pinto
Joerg C. Schefold
Georg Wolff
Malte Kelm
Michael Beil
Sigal Sviri
Peter Vernon van Heerden
Wojciech Szczeklik
Miroslaw Czuczwar
Muhammed Elhadi
Michael Joannidis
Sandra Oeyen
Tilemachos Zafeiridis
Brian Marsh
Finn H. Andersen
Rui Moreno
Maurizio Cecconi
Susannah Leaver
Ariane Boumendil
Dylan W. De Lange
Bertrand Guidet
COVIP study group
The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study
Critical Care
COVID-19
Frailty
Outcome
Elderly
Pandemia
author_facet Christian Jung
Hans Flaatten
Jesper Fjølner
Raphael Romano Bruno
Bernhard Wernly
Antonio Artigas
Bernardo Bollen Pinto
Joerg C. Schefold
Georg Wolff
Malte Kelm
Michael Beil
Sigal Sviri
Peter Vernon van Heerden
Wojciech Szczeklik
Miroslaw Czuczwar
Muhammed Elhadi
Michael Joannidis
Sandra Oeyen
Tilemachos Zafeiridis
Brian Marsh
Finn H. Andersen
Rui Moreno
Maurizio Cecconi
Susannah Leaver
Ariane Boumendil
Dylan W. De Lange
Bertrand Guidet
COVIP study group
author_sort Christian Jung
title The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study
title_short The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study
title_full The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study
title_fullStr The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study
title_full_unstemmed The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study
title_sort impact of frailty on survival in elderly intensive care patients with covid-19: the covip study
publisher BMC
series Critical Care
issn 1364-8535
publishDate 2021-04-01
description Abstract Background The COVID-19 pandemic has led highly developed healthcare systems to the brink of collapse due to the large numbers of patients being admitted into hospitals. One of the potential prognostic indicators in patients with COVID-19 is frailty. The degree of frailty could be used to assist both the triage into intensive care, and decisions regarding treatment limitations. Our study sought to determine the interaction of frailty and age in elderly COVID-19 ICU patients. Methods A prospective multicentre study of COVID-19 patients ≥ 70 years admitted to intensive care in 138 ICUs from 28 countries was conducted. The primary endpoint was 30-day mortality. Frailty was assessed using the clinical frailty scale. Additionally, comorbidities, management strategies and treatment limitations were recorded. Results The study included 1346 patients (28% female) with a median age of 75 years (IQR 72–78, range 70–96), 16.3% were older than 80 years, and 21% of the patients were frail. The overall survival at 30 days was 59% (95% CI 56–62), with 66% (63–69) in fit, 53% (47–61) in vulnerable and 41% (35–47) in frail patients (p < 0.001). In frail patients, there was no difference in 30-day survival between different age categories. Frailty was linked to an increased use of treatment limitations and less use of mechanical ventilation. In a model controlling for age, disease severity, sex, treatment limitations and comorbidities, frailty was independently associated with lower survival. Conclusion Frailty provides relevant prognostic information in elderly COVID-19 patients in addition to age and comorbidities. Trial registration Clinicaltrials.gov: NCT04321265 , registered 19 March 2020.
topic COVID-19
Frailty
Outcome
Elderly
Pandemia
url https://doi.org/10.1186/s13054-021-03551-3
work_keys_str_mv AT christianjung theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT hansflaatten theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT jesperfjølner theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT raphaelromanobruno theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT bernhardwernly theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT antonioartigas theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT bernardobollenpinto theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT joergcschefold theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT georgwolff theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT maltekelm theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT michaelbeil theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT sigalsviri theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT petervernonvanheerden theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT wojciechszczeklik theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT miroslawczuczwar theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT muhammedelhadi theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT michaeljoannidis theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT sandraoeyen theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT tilemachoszafeiridis theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT brianmarsh theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT finnhandersen theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT ruimoreno theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT mauriziocecconi theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT susannahleaver theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT arianeboumendil theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT dylanwdelange theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT bertrandguidet theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT covipstudygroup theimpactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT christianjung impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT hansflaatten impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT jesperfjølner impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT raphaelromanobruno impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT bernhardwernly impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT antonioartigas impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT bernardobollenpinto impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT joergcschefold impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT georgwolff impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT maltekelm impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT michaelbeil impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT sigalsviri impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT petervernonvanheerden impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT wojciechszczeklik impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT miroslawczuczwar impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT muhammedelhadi impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT michaeljoannidis impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT sandraoeyen impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT tilemachoszafeiridis impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT brianmarsh impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT finnhandersen impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT ruimoreno impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT mauriziocecconi impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT susannahleaver impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT arianeboumendil impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT dylanwdelange impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT bertrandguidet impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
AT covipstudygroup impactoffrailtyonsurvivalinelderlyintensivecarepatientswithcovid19thecovipstudy
_version_ 1721509838856388608
spelling doaj-cc56eb45c9fe4788a0d6c8efb8fd56752021-04-25T11:21:52ZengBMCCritical Care1364-85352021-04-012511910.1186/s13054-021-03551-3The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP studyChristian Jung0Hans Flaatten1Jesper Fjølner2Raphael Romano Bruno3Bernhard Wernly4Antonio Artigas5Bernardo Bollen Pinto6Joerg C. Schefold7Georg Wolff8Malte Kelm9Michael Beil10Sigal Sviri11Peter Vernon van Heerden12Wojciech Szczeklik13Miroslaw Czuczwar14Muhammed Elhadi15Michael Joannidis16Sandra Oeyen17Tilemachos Zafeiridis18Brian Marsh19Finn H. Andersen20Rui Moreno21Maurizio Cecconi22Susannah Leaver23Ariane Boumendil24Dylan W. De Lange25Bertrand Guidet26COVIP study groupDepartment of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University DuesseldorfDepartment of Clinical Medicine, University of BergenDepartment of Intensive Care, Aarhus University HospitalDepartment of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University DuesseldorfDepartment of Cardiology, Paracelsus Medical UniversityDepartment of Intensive Care Medicine, CIBER Enfermedades Respiratorias, Corporacion Sanitaria Universitaria Parc Tauli, Autonomous University of BarcelonaDepartment of Acute Medicine, Geneva University HospitalsDepartment of Intensive Care Medicine, Inselspital, Universitätsspital, University of BernDepartment of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University DuesseldorfDepartment of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University DuesseldorfDepartment of Medical Intensive Care, Hadassah University Medical CenterDepartment of Medical Intensive Care, Hadassah University Medical CenterGeneral Intensive Care Unit, Hadassah University Medical CenterCenter for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College2nd Department of Anesthesiology and Intensive Care, Medical University of LublinFaculty of Medicine, University of TripoliDivision of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University InnsbruckDepartment of Intensive Care 1K12IC, Ghent University HospitalIntensive Care Unit General Hospital of LarissaMater Misericordiae University HospitalDepartment of Anaesthesia and Intensive Care, Ålesund HospitalUnidade de Cuidados Intensivos Neurocríticos e Trauma, Hospital de São José, Centro Hospitalar Universitário de Lisboa Central, Faculdade de Ciências Médicas de Lisboa, Nova Médical SchoolDepartment of Anaesthesia, IRCCS Instituto Clínico Humanitas, Humanitas UniversityGeneral Intensive Care, St George’s University Hospitals NHS Foundation TrustSorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 1136, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Equipe: épidémiologie hospitalière qualité et organisation des soinsDepartment of Intensive Care Medicine, University Medical Center, University UtrechtSorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 1136, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Equipe: épidémiologie hospitalière qualité et organisation des soinsAbstract Background The COVID-19 pandemic has led highly developed healthcare systems to the brink of collapse due to the large numbers of patients being admitted into hospitals. One of the potential prognostic indicators in patients with COVID-19 is frailty. The degree of frailty could be used to assist both the triage into intensive care, and decisions regarding treatment limitations. Our study sought to determine the interaction of frailty and age in elderly COVID-19 ICU patients. Methods A prospective multicentre study of COVID-19 patients ≥ 70 years admitted to intensive care in 138 ICUs from 28 countries was conducted. The primary endpoint was 30-day mortality. Frailty was assessed using the clinical frailty scale. Additionally, comorbidities, management strategies and treatment limitations were recorded. Results The study included 1346 patients (28% female) with a median age of 75 years (IQR 72–78, range 70–96), 16.3% were older than 80 years, and 21% of the patients were frail. The overall survival at 30 days was 59% (95% CI 56–62), with 66% (63–69) in fit, 53% (47–61) in vulnerable and 41% (35–47) in frail patients (p < 0.001). In frail patients, there was no difference in 30-day survival between different age categories. Frailty was linked to an increased use of treatment limitations and less use of mechanical ventilation. In a model controlling for age, disease severity, sex, treatment limitations and comorbidities, frailty was independently associated with lower survival. Conclusion Frailty provides relevant prognostic information in elderly COVID-19 patients in addition to age and comorbidities. Trial registration Clinicaltrials.gov: NCT04321265 , registered 19 March 2020.https://doi.org/10.1186/s13054-021-03551-3COVID-19FrailtyOutcomeElderlyPandemia