Evidence map›Paper›PMID 24553510›Full record

ArticleRevista Brasileira de terapia intensiva

Comparison of the RIFLE, AKIN and KDIGO criteria to predict mortality in critically ill patients.

Talita Machado Levi, Sérgio Pinto de Souza, Janine Garcia de Magalhães, Márcia Sampaio de Carvalho, André Luiz Barreto Cunha, João Gabriel Athayde de Oliveira Dantas, Marília Galvão Cruz, Yasmin Laryssa Moura Guimarães, Constança Margarida Sampaio Cruz

Abstract readComparative Study
In one paragraph

Article in Revista Brasileira de terapia intensiva. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Diuretics for preventing and treating acute kidney injury.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Kidney Transplantation From Donors With Acute Kidney Injury: Are the Concerns Justified? A Systematic Review and Meta-Analysis.Transplant international : official journal of the European Society for Organ Transplantation · 2023
    Pooled it
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  9. Penicillin versus anti-staphylococcal beta-lactams for penicillin-susceptible Staphylococcus aureus blood stream infections: a retrospective cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
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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

9 authors.

Talita Machado LeviUniversidade Estadual de Santa Cruz, Departamento de Clínica Médica, ItabunaBA, Brasil, Departamento de Clínica Médica, Universidade Estadual de Santa Cruz - UESC - Itabuna (BA), Brasil.
Sérgio Pinto de SouzaObras Assistenciais Irmã Dulce, Hospital Santo Antonio, Programa de Residência de Clínica Médica, SalvadorBA, Brasil, Programa de Residência de Clínica Médica, Hospital Santo Antonio, Obras Assistenciais Irmã Dulce - Salvador (BA), Brasil.
Janine Garcia de MagalhãesObras Assistenciais Irmã Dulce, Hospital Santo Antonio, Programa de Residência de Clínica Médica, SalvadorBA, Brasil, Programa de Residência de Clínica Médica, Hospital Santo Antonio, Obras Assistenciais Irmã Dulce - Salvador (BA), Brasil.
Márcia Sampaio de CarvalhoObras Assistenciais Irmã Dulce, Hospital Santo Antonio, Programa de Residência de Clínica Médica, SalvadorBA, Brasil, Programa de Residência de Clínica Médica, Hospital Santo Antonio, Obras Assistenciais Irmã Dulce - Salvador (BA), Brasil.
André Luiz Barreto CunhaObras Assistenciais Irmã Dulce, Hospital Santo Antonio, Programa de Residência de Clínica Médica, SalvadorBA, Brasil, Programa de Residência de Clínica Médica, Hospital Santo Antonio, Obras Assistenciais Irmã Dulce - Salvador (BA), Brasil.
João Gabriel Athayde de Oliveira DantasFaculdade de Tecnologia e Ciências, SalvadorBA, Brasil, Curso Acadêmico, Faculdade de Tecnologia e Ciências - FTC - Salvador (BA), Brasil.
Marília Galvão CruzEscola Bahiana de Medicina e Saúde Pública, SalvadorBA, Brasil, Curso Acadêmico, Escola Bahiana de Medicina e Saúde Pública - Salvador (BA), Brasil.
Yasmin Laryssa Moura GuimarãesEscola Bahiana de Medicina e Saúde Pública, SalvadorBA, Brasil, Curso Acadêmico, Escola Bahiana de Medicina e Saúde Pública - Salvador (BA), Brasil.
Constança Margarida Sampaio CruzEscola Bahiana de Medicina e Saúde Pública, Programa de Pós-Graduação em Medicina e Saúde Humana, SalvadorBA, Brasil, Programa de Pós-Graduação em Medicina e Saúde Humana, Escola Bahiana de Medicina e Saúde Pública - Salvador (BA), Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAcute kidney injury is a common complication in critically ill patients, and the RIFLE, AKIN and KDIGO criteria are used to classify these patients. The present study's aim was to compare these criteria as predictors of mortality in critically ill patients.

methodsProspective cohort study using medical records as the source of data. All patients admitted to the intensive care unit were included. The exclusion criteria were hospitalization for less than 24 hours and death. Patients were followed until discharge or death. Student's t test, chi-squared analysis, a multivariate logistic regression and ROC curves were used for the data analysis.

resultsThe mean patient age was 64 years old, and the majority of patients were women of African descent. According to RIFLE, the mortality rates were 17.74%, 22.58%, 24.19% and 35.48% for patients without acute kidney injury (AKI) in stages of Risk, Injury and Failure, respectively. For AKIN, the mortality rates were 17.74%, 29.03%, 12.90% and 40.32% for patients without AKI and at stage I, stage II and stage III, respectively. For KDIGO 2012, the mortality rates were 17.74%, 29.03%, 11.29% and 41.94% for patients without AKI and at stage I, stage II and stage III, respectively. All three classification systems showed similar ROC curves for mortality.

conclusionThe RIFLE, AKIN and KDIGO criteria were good tools for predicting mortality in critically ill patients with no significant difference between them.

Indexed as

Intensive Care UnitsAcute Kidney InjuryAgedAged, 80 and overCohort StudiesCritical IllnessFemaleHospitalizationHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisProspective StudiesROC Curve

Identifiers

PMID24553510
PMCPMC4031880

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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.