Evidence map›Paper›PMID 33632288›Full record

ArticleCritical care (London, England)2021

Frailty status among older critically ill patients with severe acute kidney injury.

William Beaubien-Souligny, Alan Yang, Gerald Lebovic, Ron Wald, Sean M Bagshaw

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  6. Survive or thrive after ICU: what's the score?Annals of intensive care · 2023
    Article
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  8. Utility of frailty as a predictor of acute kidney injury in patients with aneurysmal subarachnoid hemorrhage.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2023
    Article
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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

5 authors at 3 institutions in 1 country.

William Beaubien-SoulignyDivision of Nephrology, Centre Hospitalier de L'Université de Montréal, Montreal, Canada.ORCID 0000-0003-3030-8703
Alan YangApplied Health Research Centre, St. Michael's Hospital, Toronto, Canada.
Gerald LebovicApplied Health Research Centre, St. Michael's Hospital, Toronto, Canada.
Ron WaldDivision of Nephrology, St. Michael's Hospital and University of Toronto, Toronto, Canada.
Sean M BagshawDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, School of Public Health, University of Alberta, 2-124 Clinical Science Building, 8440-112 Street, Edmonton, AB, T6G2B7, Canada. bagshaw@ualberta.ca.
St. Michael's Hospital · CACentre Hospitalier de l’Université de Montréal · CAUniversity of Alberta · CA

Funding

Canadian frailty network 2013-RFP2012-15-06Fonds de Recherche du Québec - Santé Training award (Phase 3)
6 · The paper itself

Abstract

backgroundFrailty status among critically ill patients with acute kidney injury (AKI) is not well described despite its importance for prognostication and informed decision-making on life-sustaining therapies. In this study, we aim to describe the epidemiology of frailty in a cohort of older critically ill patients with severe AKI, the outcomes of patients with pre-existing frailty before AKI and the factors associated with a worsening frailty status among survivors.

methodsThis was a secondary analysis of a prospective multicentre observational study that enrolled older (age > 65 years) critically ill patients with AKI. The clinical frailty scale (CFS) score was captured at baseline, at 6 months and at 12 months among survivors. Frailty was defined as a CFS score of ≥ 5. Demographic, clinical and physiological variables associated with frailty as baseline were described. Multivariable Cox proportional hazard models were constructed to describe the association between frailty and 90-day mortality. Demographic and clinical factors associated with worsening frailty status at 6 months and 12 months were described using multivariable logistic regression analysis and multistate models.

resultsAmong the 462 patients in our cohort, median (IQR) baseline CFS score was 4 (3-5), with 141 (31%) patients considered frail. Pre-existing frailty was associated with greater hazard of 90-day mortality (59% (n = 83) for frail vs. 31% (n = 100) for non-frail; adjusted hazards ratio [HR] 1.49; 95% CI 1.11-2.01, p = 0.008). At 6 months, 68 patients (28% of survivors) were frail. Of these, 57% (n = 39) were not classified as frail at baseline. Between 6 and 12 months of follow-up, 9 (4% of survivors) patients transitioned from a frail to a not frail status while 10 (4% of survivors) patients became frail and 11 (5% of survivors) patients died. In multivariable analysis, age was independently associated with worsening CFS score from baseline to 6 months (adjusted odds ratio [OR] 1.08; 95% CI 1.03-1.13, p = 0.003).

conclusionsPre-existing frailty is an independent risk factor for mortality among older critically ill patients with severe AKI. A substantial proportion of survivors experience declining function and worsened frailty status within one year.

Indexed as

Acute Kidney InjuryAgedAged, 80 and overAnalysis of VarianceCohort StudiesCorrelation of DataCritical IllnessFemaleFrail ElderlyFrailtyHumansKaplan-Meier EstimateMaleOdds RatioProspective StudiesAcute kidney injuryAgingFrailtyFunctional statusPatient-oriented outcomesQuality of lifeRenal replacement therapy

Identifiers

PMID33632288
PMCPMC7908639
OpenAlexW3131993856

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.