Evidence map›Paper›PMID 33570081›Full record

ArticleJornal brasileiro de nefrologia

Acute kidney injury in patients with Covid-19 in a Brazilian ICU: incidence, predictors and in-hospital mortality.

Rafael Lessa da Costa, Taíza Corrêa Sória, Eliene Ferreira Salles, Ana Venâncio Gerecht, Maurício Faria Corvisier, Márcia Adélia de Magalhães Menezes, Carla da Silveira Ávila, Eduardo Costa de Freitas Silva, Sara Regina Neto Pereira, Luiz Fernando Nogueira Simvoulidis

Abstract read
In one paragraph

Article in Jornal brasileiro de nefrologia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Acute Kidney Injury Among Admitted COVID-19 Patients in Addis Ababa, Ethiopia.International journal of nephrology and renovascular disease · 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

10 authors.

Rafael Lessa da CostaHospital Unimed-Rio, Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-9082-7631
Taíza Corrêa SóriaHospital Unimed-Rio, Rio de Janeiro, RJ, Brasil.
Eliene Ferreira SallesHospital Unimed-Rio, Rio de Janeiro, RJ, Brasil.
Ana Venâncio GerechtHospital Unimed-Rio, Rio de Janeiro, RJ, Brasil.
Maurício Faria CorvisierHospital Unimed-Rio, Rio de Janeiro, RJ, Brasil.
Márcia Adélia de Magalhães MenezesHospital Unimed-Rio, Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-5121-5779
Carla da Silveira ÁvilaHospital Unimed-Rio, Rio de Janeiro, RJ, Brasil.
Eduardo Costa de Freitas SilvaInstituto Unimed-Rio, Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-6514-1205
Sara Regina Neto PereiraInstituto Unimed-Rio, Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0003-4556-4689
Luiz Fernando Nogueira SimvoulidisHospital Unimed-Rio, Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-6301-8441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is little data in the literature on acute kidney injury (AKI) in Covid-19 cases, although relevant in clinical practice in the ICU, especially in Brazil. Our goal was to identify the incidence of AKI, predictive factors and impact on hospital mortality.

methodRetrospective cohort of patients with Covid-19 admitted to the ICU. AKI was defined according to KDIGO criteria. Data was collected from electronic medical records between March 17 and April 26.

resultsOf the 102 patients, 55.9% progressed with AKI, and the majority (66.7%) was classified as stage 3. Multivariate logistic regression showed age (RC 1.101; 95% CI 1.026 - 1.181; p = 0.0070), estimated glomerular filtration rate - eGFR (RC 1.127; 95% CI 1.022 - 1.243; p = 0.0170) and hypertension (RC 3.212; 95% CI 1.065 - 9.690; p = 0.0380) as independent predictors of AKI. Twenty-three patients died. In the group without kidney injury, there were 8.9% deaths, while in the group with AKI, 33.3% of patients died (RR 5.125; 95% CI 1.598 - 16.431; p = 0.0060). The average survival, in days, was higher in the group without AKI. Cox multivariate analysis showed age (RR 1.054; 95% CI 1.014 - 1.095; p = 0.0080) and severe acute respiratory distress syndrome (RR 8.953; 95% CI 1.128 - 71.048; p = 0.0380) as predictors of hospital mortality.

conclusionWe found a high incidence of AKI; and as predictive factors for its occurrence: age, eGFR and hypertension. AKI was associated with higher hospital mortality.

Indexed as

Acute Kidney InjuryCOVID-19BrazilHospital MortalityHumansIncidenceIntensive Care UnitsRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID33570081
PMCPMC8428632

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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.