Evidence map›Paper›PMID 31784798›Full record

ArticleIntensive care medicine2020

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.

Bertrand Guidet, Dylan W de Lange, Ariane Boumendil, Susannah Leaver, Ximena Watson, Carol Boulanger, Wojciech Szczeklik, Antonio Artigas, Alessandro Morandi, Finn Andersen and 14 more

3 registry-linked trialsAbstract read
In one paragraph

Article in Intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 211 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04321265 unknown statusnot on this map

Outcomes and Prognostic Factors in Coronavirus Disease (COVID-19) in Very Old Intensive Care Patients

TypeobservationalSponsorHeinrich-Heine University, DuesseldorfRan2020 to 2023Enrolled1,500ConditionsCOVID-19, Elderly Patients, Critical Illness, Survival
NCT06117462 unknown statusnot on this mapstarted 2023, after this paper: background citation

Frailty in Critical Care Unit's Patients

TypeobservationalSponsorAssiut UniversityRan2023 to 2024Enrolled116ConditionsCFSArmsAssesment of CFS
NCT07035951 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

The VIP-3 (Very Old Intensive Care Patients) Study: Decision-making in the Older Intensive Care Unit (ICU) Patient: How Are Family Meetings Implemented Across Diverse Cultures in Europe?

TypeobservationalSponsorSt George's, University of LondonRan2025 to 2026Enrolled2,000ConditionsFamily Members, Critical Illness, Frailty, Communication
3 · Its place in the literature

Who cites it

211 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  2. [Frailty in intensive care medicine].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026
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151 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Bertrand GuidetSorbonne 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.ORCID http://orcid.org/0000-0002-7643-6770
Dylan W de LangeDepartment of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands.
Ariane BoumendilAP-HP, Hôpital Saint-Antoine, service de réanimation, F75012, Paris, France.
Susannah LeaverResearch Lead Critical Care Directorate St George's Hospital, London, UK.
Ximena WatsonSt George's University Hospital, London, UK.
Carol BoulangerChair NAHP Section ESICM, Intensive Care Unit, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK.
Wojciech SzczeklikIntensive Care and Perioperative Medicine Division, Jagiellonian University Medical College, Kraków, Poland.
Antonio ArtigasDepartment 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.
Alessandro MorandiDepartment of Rehabilitation Hospital Ancelle di Cremona Italy, Geriatric Research Group, Brescia, Italy.
Finn AndersenDepartment of Anaesthesia and Intensive Care, NTNU, Dep of Circulation and Medical Imaging, Ålesund Hospital, Trondheim, Ålesund, Norway.
Tilemachos ZafeiridisIntensive Care Unit General Hospital of Larissa Tsakalof Larissa, Larissa, Greece.
Christian JungDivision of Cardiology, Pulmonology and Vascular Medicine, University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.
Rui MorenoFaculdade 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.
Sten WaltherLinkoping University Hospital, Linkoping, Sweden.
Sandra OeyenDepartment of Intensive Care 1K12IC Ghent University Hospital, Ghent, Belgium.
Joerg C SchefoldDepartment of Intensive Care Medicine, Inselspital, Universitätsspital, University of Bern, Bern, Switzerland.
Maurizio CecconiDepartment of Anesthesia and Intensive Care Medicine, Humanitas Clinical and Research Center - IRCCS, Via Alessandro Manzoni 56, 20089, Rozzano, MI, Italy.
Brian MarshMater Misericordiae University Hospital, Dublin, Ireland.
Michael JoannidisDivision of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria.
Yuriy NalapkoEuropean Wellness International, ICU, Luhansk, Ukraine.
Muhammed ElhadiAlkhums Hospital, ICU, Tripoli, Libya.
Jesper FjølnerDepartment of Intensive Care, Aarhus University Hospital, Aarhus, Denmark.
Hans FlaattenDep. of Clinical Medicine, University of Bergen, Bergen, Norway.
VIP2 study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePremorbid 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.

methodsProspective 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.

resultsWe 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.

conclusionWe 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.

Indexed as

Activities of Daily LivingAged, 80 and overCognitionComorbidityEuropeFemaleFrailtyHospitalizationHumansIntensive Care UnitsKaplan-Meier EstimateMaleMultivariate AnalysisOutcome Assessment, Health CarePrevalenceProportional Hazards ModelsActivities of daily livingCognitive functioningComorbidityCritical careElderlyFrailtyOutcomePrediction

Identifiers

PMID31784798
PMCPMC7223711

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.