Evidence map›Paper›PMID 32669322›Full record

ArticleJournal of the American Society of Nephrology : JASN2020

AKI in Hospitalized Patients with and without COVID-19: A Comparison Study.

Molly Fisher, Joel Neugarten, Eran Bellin, Milagros Yunes, Lindsay Stahl, Tanya S Johns, Matthew K Abramowitz, Rebecca Levy, Neelja Kumar, Michele H Mokrzycki and 4 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 227 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
227citing papers in PubMed, 8 pooled it
44.9field-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

227 citing papers in PubMed, 8 syntheses or guidelines pooled it, 381 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. A systematic review and meta-analysis of COVID-19 in kidney transplant recipients: Lessons to be learned.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
    Pooled it
  7. Pooled it
  8. Pooled it
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. COVID-19 associated acute kidney injury.Infectious diseases & immunity · 2025
    Review
  17. Neutrophils and NETs in kidney disease.Nature reviews. Nephrology · 2025
    Review
  18. Article
  19. Article
  20. Article

167 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

14 authors at 2 institutions in 1 country.

Molly FisherDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York mfisher@montefiore.org.ORCID https://orcid.org/0000-0001-5082-361X
Joel NeugartenDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Eran BellinDepartment of Clinical Epidemiology and Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Milagros YunesDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Lindsay StahlInformation Technology, Montefiore Medical Center, Bronx, New York.
Tanya S JohnsDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Matthew K AbramowitzDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Rebecca LevyDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Neelja KumarDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Michele H MokrzyckiDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Maria CocoDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Mary DominguezDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Kalyan PrudhviDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Ladan GolestanehDivision of Nephrology, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.ORCID https://orcid.org/0000-0003-1848-582X
Albert Einstein College of Medicine · USMontefiore Medical Center · US

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Institutional Career Development CoreKL2TR002558 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MARANTZ, PAUL R · 2018 to 2022
$2.7M
NCATS NIH HHS KL2 TR002558NCATS NIH HHS UL1 TR002556
6 · The paper itself

Abstract

backgroundReports from centers treating patients with coronavirus disease 2019 (COVID-19) have noted that such patients frequently develop AKI. However, there have been no direct comparisons of AKI in hospitalized patients with and without COVID-19 that would reveal whether there are aspects of AKI risk, course, and outcomes unique to this infection.

methodsIn a retrospective observational study, we evaluated AKI incidence, risk factors, and outcomes for 3345 adults with COVID-19 and 1265 without COVID-19 who were hospitalized in a large New York City health system and compared them with a historical cohort of 9859 individuals hospitalized a year earlier in the same health system. We also developed a model to identify predictors of stage 2 or 3 AKI in our COVID-19.

resultsWe found higher AKI incidence among patients with COVID-19 compared with the historical cohort (56.9% versus 25.1%, respectively). Patients with AKI and COVID-19 were more likely than those without COVID-19 to require RRT and were less likely to recover kidney function. Development of AKI was significantly associated with male sex, Black race, and older age (>50 years). Male sex and age >50 years associated with the composite outcome of RRT or mortality, regardless of COVID-19 status. Factors that were predictive of stage 2 or 3 AKI included initial respiratory rate, white blood cell count, neutrophil/lymphocyte ratio, and lactate dehydrogenase level.

conclusionsPatients hospitalized with COVID-19 had a higher incidence of severe AKI compared with controls. Vital signs at admission and laboratory data may be useful for risk stratification to predict severe AKI. Although male sex, Black race, and older age associated with development of AKI, these associations were not unique to COVID-19.

Indexed as

BetacoronavirusHospitalizationAcute Kidney InjuryAdultAgedAged, 80 and overCoronavirus InfectionsCOVID-19FemaleHospital MortalityHumansIncidenceIntensive Care UnitsMaleMiddle AgedPandemicsAKICOVID-19outcomesracerisk factorssex

Identifiers

PMID32669322
PMCPMC7461660
OpenAlexW3043729847

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.