Evidence map›Paper›PMID 34033655›Full record

ArticlePloS one2021

Acute kidney injury: Incidence, risk factors, and outcomes in severe COVID-19 patients.

Danilo Candido de Almeida, Maria do Carmo Pinho Franco, Davi Rettori Pardo Dos Santos, Marina Colella Santos, Isabela Soucin Maltoni, Felipe Mascotte, Alexandra Aparecida de Souza, Paula Massaroni Pietrobom, Eduardo Alexandrino Medeiros, Paulo Roberto Abrão Ferreira and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
2.9field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  6. Electronic Phenotype for Detection, Staging, and Subtyping of Acute Kidney Injury.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
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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 2 institutions in 1 country.

Danilo Candido de AlmeidaNephrology Division, Federal University of São Paulo, São Paulo, Brazil.ORCID 0000-0003-3661-2124
Maria do Carmo Pinho FrancoNephrology Division, Federal University of São Paulo, São Paulo, Brazil.
Davi Rettori Pardo Dos SantosNephrology Division, Federal University of São Paulo, São Paulo, Brazil.
Marina Colella SantosNephrology Division, Federal University of São Paulo, São Paulo, Brazil.
Isabela Soucin MaltoniNephrology Division, Federal University of São Paulo, São Paulo, Brazil.
Felipe MascotteNephrology Division, Federal University of São Paulo, São Paulo, Brazil.
Alexandra Aparecida de SouzaLaboratory of Applied Computing (LABCOM), Federal Institute of Education, Science and Technology of São Paulo, São Paulo, Brazil.
Paula Massaroni PietrobomInfectious Disease Division, Federal University of São Paulo, São Paulo, Brazil.ORCID 0000-0003-0360-9922
Eduardo Alexandrino MedeirosInfectious Disease Division, Federal University of São Paulo, São Paulo, Brazil.
Paulo Roberto Abrão FerreiraInfectious Disease Division, Federal University of São Paulo, São Paulo, Brazil.
Flavia Ribeiro MachadoIntensive Care Unit Division, Federal University of São Paulo, São Paulo, Brazil.
Miguel Angelo GoesNephrology Division, Federal University of São Paulo, São Paulo, Brazil.ORCID 0000-0001-7687-3826
Universidade Federal de São Paulo · BRFederal Institute of São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is a multisystemic disorder that frequently causes acute kidney injury (AKI). However, the precise clinical and biochemical variables associated with AKI progression in patients with severe COVID-19 remain unclear.

methodsWe performed a retrospective study on 278 hospitalized patients who were admitted to the ward and intensive care unit (ICU) with COVID-19 between March 2020 and June 2020, at the University Hospital, São Paulo, Brazil. Patients aged ≥ 18 years with COVID-19 confirmed on RT-PCR were included. AKI was defined according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. We evaluated the incidence of AKI, several clinical variables, medicines used, and outcomes in two sub-groups: COVID-19 patients with AKI (Cov-AKI), and COVID-19 patients without AKI (non-AKI). Univariate and multivariate analyses were performed.

resultsFirst, an elevated incidence of AKI (71.2%) was identified, distributed across different stages of the KDIGO criteria. We further observed higher levels of creatinine, C-reactive protein (CRP), leukocytes, neutrophils, monocytes, and neutrophil-to-lymphocyte ratio (NLR) in the Cov-AKI group than in the non-AKI group, at hospital admission. On univariate analysis, Cov-AKI was associated with older age (>62 years), hypertension, CRP, MCV, leucocytes, neutrophils, NLR, combined hydroxychloroquine and azithromycin treatment, use of mechanical ventilation, and vasoactive drugs. Multivariate analysis showed that hypertension and the use of vasoactive drugs were independently associated with a risk of higher AKI in COVID-19 patients. Finally, we preferentially found an altered erythrocyte and leukocyte cellular profile in the Cov-AKI group compared to the non-AKI group, at hospital discharge.

conclusionsIn our study, the development of AKI in patients with severe COVID-19 was related to inflammatory blood markers and therapy with hydroxychloroquine/azithromycin, with vasopressor requirement and hypertension considered potential risk factors. Thus, attention to the protocol, hypertension, and some blood markers may help assist doctors with decision-making for the management of COVID-19 patients with AKI.

Indexed as

Acute Kidney InjuryAdolescentAdultAgedAged, 80 and overAge FactorsAzithromycinBrazilCOVID-19COVID-19 Drug TreatmentCreatinineFemaleGlomerular Filtration RateHumansHydroxychloroquineMaleAzithromycinCreatinineHydroxychloroquineVasodilator Agents

Identifiers

PMID34033655
PMCPMC8148326
OpenAlexW3164458620

What OpenQuestion holds

Textmetadata
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.