Evidence map›Paper›PMID 21586153›Full record

ArticleCritical care (London, England)2011

Multiple-center evaluation of mortality associated with acute kidney injury in critically ill patients: a competing risks analysis.

Christophe Clec'h, Frédéric Gonzalez, Alexandre Lautrette, Molière Nguile-Makao, Maïté Garrouste-Orgeas, Samir Jamali, Dany Golgran-Toledano, Adrien Descorps-Declere, Frank Chemouni, Rebecca Hamidfar-Roy and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
5.9field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 4 syntheses or guidelines pooled it, 110 citations in OpenAlex.

  1. Pooled it
  2. Systematic review of locking solutions for non-tunneled hemodialysis catheters.Hemodialysis international. International Symposium on Home Hemodialysis · 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

12 authors at 8 institutions in 1 country.

Christophe Clec'hMedical-Surgical Intensive Care Unit, Avicenne Teaching Hospital, 125 Route de Stalingrad, Bobigny Cedex, France. christophe.clech@avc.aphp.fr
Frédéric Gonzalez
Alexandre Lautrette
Molière Nguile-Makao
Maïté Garrouste-Orgeas
Samir Jamali
Dany Golgran-Toledano
Adrien Descorps-Declere
Frank Chemouni
Rebecca Hamidfar-Roy
Elie Azoulay
Jean-François Timsit
Institut pour l'avancée des biosciences · FRHôpital Avicenne · FRInserm · FRCentre Hospitalier de Gonesse · FRCentre Hospitalier Gabriel-Martin · FRCentre Hospitalier Sud-Essonne Dourdan-Etampes · FRHôpital Albert Michallon · FRHôpital Antoine-Béclère · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn this study, we aimed to assess the association between acute kidney injury (AKI) and mortality in critically ill patients using an original competing risks approach.

methodsUnselected patients admitted between 1997 and 2009 to 13 French medical or surgical intensive care units were included in this observational cohort study. AKI was defined according to the RIFLE criteria. The following data were recorded: baseline characteristics, daily serum creatinine level, daily Sequential Organ Failure Assessment (SOFA) score, vital status at hospital discharge and length of hospital stay. Patients were classified according to the maximum RIFLE class reached during their ICU stay. The association of AKI with hospital mortality with "discharge alive" considered as a competing event was assessed according to the Fine and Gray model.

resultsOf the 8,639 study patients, 32.9% had AKI, of whom 19.1% received renal replacement therapy. Patients with AKI had higher crude mortality rates and longer lengths of hospital stay than patients without AKI. In the Fine and Gray model, independent risk factors for hospital mortality were the RIFLE classes Risk (sub-hazard ratio (SHR) 1.58 and 95% confidence interval (95% CI) 1.32 to 1.88; P < 0.0001), Injury (SHR 3.99 and 95% CI 3.43 to 4.65; P < 0.0001) and Failure (SHR 4.12 and 95% CI 3.55 to 4.79; P < 0.0001); nonrenal SOFA score (SHR 1.19 per point and 95% CI 1.18 to 1.21; P < 0.0001); McCabe class 3 (SHR 2.71 and 95% CI 2.34 to 3.15; P < 0.0001); and respiratory failure (SHR 3.08 and 95% CI 1.36 to 7.01; P < 0.01).

conclusionsBy using a competing risks approach, we confirm in this study that AKI affecting critically ill patients is associated with increased in-hospital mortality.

Indexed as

Acute Kidney InjuryAdultAgedAged, 80 and overCohort StudiesCritical IllnessFemaleFranceHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedRisk Assessment

Identifiers

PMID21586153
PMCPMC3218994
OpenAlexW2126487103

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.