Evidence map›Paper›PMID 33199414›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2020

Acute Kidney Injury in a National Cohort of Hospitalized US Veterans with COVID-19.

Benjamin Bowe, Miao Cai, Yan Xie, Andrew K Gibson, Geetha Maddukuri, Ziyad Al-Aly

Open access · greenAbstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 5 pooled it
25.3field-weighted citation impact, top 1% 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

124 citing papers in PubMed, 5 syntheses or guidelines pooled it, 213 citations in OpenAlex.

  1. Pooled it
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  6. Trial
  7. 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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64 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Benjamin BoweClinical Epidemiology Center, Research and Development Service, Veterans Affairs St. Louis Health Care System, St. Louis, Missouri.
Miao CaiClinical Epidemiology Center, Research and Development Service, Veterans Affairs St. Louis Health Care System, St. Louis, Missouri.
Yan XieClinical Epidemiology Center, Research and Development Service, Veterans Affairs St. Louis Health Care System, St. Louis, Missouri.
Andrew K GibsonClinical Epidemiology Center, Research and Development Service, Veterans Affairs St. Louis Health Care System, St. Louis, Missouri.ORCID 0000-0002-2291-3770
Geetha MaddukuriNephrology Section, Medicine Service, Veterans Affairs St. Louis Health Care System, St. Louis, Missouri.
Ziyad Al-AlyClinical Epidemiology Center, Research and Development Service, Veterans Affairs St. Louis Health Care System, St. Louis, Missouri.ORCID 0000-0002-2600-0434
Washington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesCoronavirus disease 2019 (COVID-19) is associated with higher risk of AKI. We aimed to describe rates and characterize predictors and health outcomes associated with AKI in a national cohort of US veterans hospitalized with COVID-19. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In a cohort of 5216 US veterans hospitalized with COVID-19 identified through July 23, 2020, we described changes in serum creatinine and examined predictors of AKI and the associations between AKI, health resource utilization, and death, utilizing logistic regressions. We characterized geographic and temporal variations in AKI rates and estimated variance explained by key variables utilizing Poisson regressions.

resultsIn total, 1655 (32%) participants had AKI; 961 (58%), 223 (13%), and 270 (16%) met Kidney Disease Improving Global Outcomes definitions of stage 1, 2, and 3 AKI, respectively, and 201 (12%) received KRT. Eight percent of participants had AKI within 1 day of hospitalization, and 47% did not recover to baseline serum creatinine by discharge. Older age, Black race, male gender, obesity, diabetes, hypertension, and lower eGFR were significant predictors of AKI during hospitalization with COVID-19. AKI was associated with higher mechanical ventilation use (odds ratio, 6.46; 95% confidence interval, 5.52 to 7.57) and longer hospital stay (5.56 additional days; 95% confidence interval, 4.78 to 6.34). AKI was also associated with higher risk of death (odds ratio, 6.71; 95% confidence interval, 5.62 to 8.04); this association was stronger in Blacks (

conclusionsAKI is common during hospitalization with COVID-19 and associated with higher risk of health care resource utilization and death. Nearly half of patients with AKI did not recover to baseline by discharge. Substantial geographic variation and temporal decline in rates and severity of AKI were observed. PODCAST: This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2020_11_16_CJN09610620_final.mp3.

Indexed as

Acute Kidney InjuryAgedAge FactorsBlack or African AmericanComorbidityCOVID-19CreatinineDiabetes MellitusFemaleGlomerular Filtration RateHumansHypertensionLength of StayMaleMiddle AgedObesityCreatinineacute kidney injuryBlack raceCOVID-19diabeteskidney functionLength of staymortalityobesityracial disparitiesrespiratory failure

Identifiers

PMID33199414
PMCPMC7792643
OpenAlexW3104627571

What OpenQuestion holds

Textmetadata
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.