Evidence map›Paper›PMID 27488839›Full record

ArticleCritical care (London, England)2016

The predictive value of early acute kidney injury for long-term survival and quality of life of critically ill patients.

Ivo W Soliman, Jos F Frencken, Linda M Peelen, Arjen J C Slooter, Olaf L Cremer, Johannes J van Delden, Diederik van Dijk, Dylan W de Lange

Abstract read
In one paragraph

Article in Critical care (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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.

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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Survive or thrive after ICU: what's the score?Annals of intensive care · 2023
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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.

Ivo W SolimanDepartment of Intensive Care Medicine, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584, CX, The Netherlands. I.W.Soliman@umcutrecht.nl.
Jos F FrenckenDepartment of Intensive Care Medicine, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584, CX, The Netherlands.
Linda M PeelenDepartment of Intensive Care Medicine, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584, CX, The Netherlands.
Arjen J C SlooterDepartment of Intensive Care Medicine, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584, CX, The Netherlands.
Olaf L CremerDepartment of Intensive Care Medicine, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584, CX, The Netherlands.
Johannes J van DeldenDepartment of Medical Humanities, Julius Center for Health Sciences and Primary Care, Universiteitsweg 100, Utrecht, 3584, CG, The Netherlands.
Diederik van DijkDepartment of Intensive Care Medicine, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584, CX, The Netherlands.
Dylan W de LangeDepartment of Intensive Care Medicine, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584, CX, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrognostic factors for the combination of long-term survival and health-related quality of life (HRQoL) after intensive care unit (ICU) stay have not yet been studied. Our aim was to assess whether early acute kidney injury (eAKI), AKI occurring on the first day of ICU admission, is an independent predictor of this combined one-year outcome.

methodsWe included all patients admitted to the mixed ICU of the University Medical Centre Utrecht between July 2009 and April 2013, excluding patients with chronic dialysis, cardiac surgery, and length of stay shorter than 24 hours. eAKI was defined using the risk, injury, failure, loss, end-stage renal failure (RIFLE) classification, using a newly developed algorithm to classify AKI based on routinely collected patient data. In one-year survivors, HRQoL was measured using the EuroQoL 5D-3L™ (EQ-5D) questionnaire. The primary outcome measure was "poor outcome", defined as an EQ-5D index score <0.4 or death after one year follow up. A multivariable Poisson regression model was performed to adjust for age, comorbidities, admission type and severity of disease factors.

resultsWe enrolled 2,420 patients, of whom 871 (36.0 %) died within one year. An additional 286 of 1549 one-year survivors (11.8 %) experienced low HRQoL. The respective incidence of the RIFLE classes, risk, injury and failure, were 456 (18.8 %), 253 (10.5 %) and 123 (5.1 %). After adjustment for other covariates, the RIFLE classes, injury and failure, were independently associated with poor outcome (adjusted relative risk 1.14, 95 % CI 1.01, 1.29; p = 0.03, and 1.25, 95 % CI 1.01, 1.55; p = 0.04), when compared to no eAKI patients . The constituents of this composite outcome were also analysed separately. In a Cox regression model the RIFLE classes, injury and failure, were significantly associated with mortality (adjusted hazard ratio 1.35, 95 % CI 1.11, 1.65; p <0.01, and 1.78, 95 % CI 1.38, 2.30; p <0.01). In one-year survivors specifically, none of the RIFLE classes were significantly associated with low HRQoL.

conclusionsICU patients with moderate or severe AKI during the first 24 hours have a higher probability of mortality or low HRQoL (combined poor outcome), one year after ICU admission. Together with other available early prognostic factors, information on early acute kidney injury could improve informed decision-making on the continuation or withdrawal of treatment in ICU patients.

Indexed as

Patient Outcome AssessmentPrognosisAcute Kidney InjuryAgedChi-Square DistributionCritical IllnessFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedNetherlandsPoisson DistributionQuality of LifeRegression AnalysisAcute kidney injuryAKICritical careHealth related quality of lifeHRQoLIntensive careLong-termOutcomePrognosis

Identifiers

PMID27488839
PMCPMC4973091

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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.