Evidence map›Paper›PMID 22732288›Full record

ArticleCritical care medicine2012

Body mass index and acute kidney injury in the acute respiratory distress syndrome.

Graciela J Soto, Angela J Frank, David C Christiani, Michelle Ng Gong

Abstract readComparative Study
In one paragraph

Article in Critical care medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% 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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it, 136 citations in OpenAlex.

  1. Pooled it
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  7. Observational
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Graciela J SotoDivision of Critical Care Medicine, Jay B. Langner Critical Care Service, Department of Medicine, Montefiore Medical Center, Bronx, NY 10467, USA. gsoto@montefiore.org
Angela J Frank
David C Christiani
Michelle Ng Gong
Montefiore Medical Center · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025750 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$20.5M
MOLECULAR EPIDEMIOLOGY OF ARDSR01HL060710 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2000 to 2015
$8.4M
Early Insulin Therapy and Development of ARDSR01HL086667 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GONG, MICHELLE NG · 2007 to 2011
$2.2M
Surrogate Consent in ResearchR01HL084060 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GONG, MICHELLE NG · 2006 to 2010
$2.1M
Clinical and Translational Science Award-K12KL2RR025749 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$991k
Clinical and Translational Science Award-T32 (TL1)TL1RR025748 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$385k
NCRR NIH HHS KL2 RR025749NCRR NIH HHS TL1 RR025748NCRR NIH HHS UL1 RR025750NHLBI NIH HHS R01 HL060710NHLBI NIH HHS R01 HL084060NHLBI NIH HHS R01 HL086667NHLBI NIH HHS R01 HL 60710NHLBI NIH HHS R01 HL 84060NHLBI NIH HHS R01 HL 86667
6 · The paper itself

Abstract

objectivesObesity is increasingly encountered in intensive care units but the relationship between obesity and acute kidney injury is unclear. We aimed to evaluate whether body mass index was associated with acute kidney injury in the acute respiratory distress syndrome and to examine the association between acute kidney injury and mortality in patients with and without obesity.

designRetrospective study.

settingMassachusetts General Hospital and Beth Israel Deaconess Medical Center. PATIENTS: Seven hundred fifty-one patients with acute respiratory distress syndrome.

interventionsNone. MEASUREMENTS AND MAIN

resultsAcute kidney injury was defined as meeting the "Risk" category according to modified Risk, Injury, Failure, Loss, End-stage criteria based on creatinine and glomerular filtration rate because urine output was only available on the day of intensive care unit admission. Body mass index was calculated from height and weight at intensive care unit admission. The prevalence of acute kidney injury increased significantly with increasing weight (p = .01). The odds of acute kidney injury were twice in obese and severely obese patients compared to patients with normal body mass index, after adjusting for predictors of acute kidney injury (age, diabetes, Acute Physiology and Chronic Health Evaluation III, aspiration, vasopressor use, and thrombocytopenia [platelets ≤ 80,000/mm]). After adjusting for the same predictors, body mass index was significantly associated with acute kidney injury (odds ratio(adj) 1.20 per 5 kg/m increase in body mass index, 95% confidence interval 1.07-1.33). On multivariate analysis, acute kidney injury was associated with increased acute respiratory distress syndrome mortality (odds ratio(adj) 2.76, 95% confidence interval 1.72-4.42) whereas body mass index was associated with decreased mortality (odds ratio(adj) 0.81 per 5 kg/m increase in body mass index, 95% confidence interval 0.71-0.93) after adjusting for mortality predictors.

conclusionsIn acute respiratory distress syndrome patients, obesity is associated with increased development of acute kidney injury, which is not completely explained by severity of illness or shock. Although increased body mass index is associated with decreased mortality, acute kidney injury remained associated with higher mortality even after adjusting for body mass index.

Indexed as

Cause of DeathAcademic Medical CentersAcute Kidney InjuryAdultAgedAged, 80 and overAge DistributionAnalysis of VarianceBody Mass IndexCohort StudiesComorbidityConfidence IntervalsCritical CareCritical IllnessFemaleHospital Mortality

Identifiers

PMID22732288
PMCPMC3423468
OpenAlexW1973973453

What OpenQuestion holds

Textmetadata
LicenceTDM
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.