Evidence map›Paper›PMID 32568858›Full record

ArticleCritical care medicine2020

Physical, Mental, and Cognitive Health Status of ICU Survivors Before ICU Admission: A Cohort Study.

Wytske W Geense, Mark van den Boogaard, Marco A A Peters, Koen S Simons, Esther Ewalds, Hester Vermeulen, Johannes G van der Hoeven, Marieke Zegers

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  6. Getting valuable and valid insight in life after ICU: evaluating the representativeness of a large cohort of ICU survivors.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Wytske W GeenseDepartment of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Mark van den BoogaardDepartment of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Marco A A PetersDepartment of Intensive Care Medicine, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands.
Koen S SimonsDepartment of Intensive Care Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
Esther EwaldsDepartment of Intensive Care Medicine, Bernhoven Hospital, Uden, The Netherlands.
Hester VermeulenScientific Center for Quality of Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Johannes G van der HoevenDepartment of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Marieke ZegersDepartment of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Radboud University Nijmegen · NLCanisius-Wilhelmina Ziekenhuis · NLJeroen Bosch Ziekenhuis · NLRadboud University Medical Center · NLZiekenhuis Bernhoven · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough patient's health status before ICU admission is the most important predictor for long-term outcomes, it is often not taken into account, potentially overestimating the attributable effects of critical illness. Studies that did assess the pre-ICU health status often included specific patient groups or assessed one specific health domain. Our aim was to explore patient's physical, mental, and cognitive functioning, as well as their quality of life before ICU admission.

designBaseline data were used from the longitudinal prospective MONITOR-IC cohort study.

settingICUs of four Dutch hospitals. PATIENTS: Adult ICU survivors (n = 2,467) admitted between July 2016 and December 2018.

interventionsNone. MEASUREMENTS AND MAIN

resultsPatients, or their proxy, rated their level of frailty (Clinical Frailty Scale), fatigue (Checklist Individual Strength-8), anxiety and depression (Hospital Anxiety and Depression Scale), cognitive functioning (Cognitive Failure Questionnaire-14), and quality of life (Short Form-36) before ICU admission. Unplanned patients rated their pre-ICU health status retrospectively after ICU admission. Before ICU admission, 13% of all patients was frail, 65% suffered from fatigue, 28% and 26% from symptoms of anxiety and depression, respectively, and 6% from cognitive problems. Unplanned patients were significantly more frail and depressed. Patients with a poor pre-ICU health status were more often likely to be female, older, lower educated, divorced or widowed, living in a healthcare facility, and suffering from a chronic condition.

conclusionsIn an era with increasing attention for health problems after ICU admission, the results of this study indicate that a part of the ICU survivors already experience serious impairments in their physical, mental, and cognitive functioning before ICU admission. Substantial differences were seen between patient subgroups. These findings underline the importance of accounting for pre-ICU health status when studying long-term outcomes.

Indexed as

Health StatusAdolescentAdultAgedAged, 80 and overAge FactorsAnxietyCognitionCognitive DysfunctionDepressionFatigueFemaleFrailtyHumansIntensive Care UnitsLongitudinal Studies

Identifiers

PMID32568858
PMCPMC7434217
OpenAlexW3036006818

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.