Evidence map›Paper›PMID 32883700›Full record

Observational studyJournal of the American Society of Nephrology : JASN2021

AKI in Hospitalized Patients with COVID-19.

Lili Chan, Kumardeep Chaudhary, Aparna Saha, Kinsuk Chauhan, Akhil Vaid, Shan Zhao, Ishan Paranjpe, Sulaiman Somani, Felix Richter, Riccardo Miotto and 23 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Society of Nephrology : JASN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 432 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
432citing papers in PubMed, 3 pooled it
77.0field-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

432 citing papers in PubMed, 3 syntheses or guidelines pooled it, 698 citations in OpenAlex.

  1. Pooled it
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  17. Observational
  18. Long COVID and the kidney.Nature reviews. Nephrology · 2025
    Review
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372 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

33 authors at 2 institutions in 2 countries.

Lili ChanDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Kumardeep ChaudharyThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Aparna SahaThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Kinsuk ChauhanDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-1198-3562
Akhil VaidThe Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York.
Shan ZhaoThe Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York.
Ishan ParanjpeThe Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York.
Sulaiman SomaniThe Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York.
Felix RichterDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Riccardo MiottoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Anuradha LalaDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Arash KiaDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Prem TimsinaDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Li LiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0001-6746-4297
Robert FreemanDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-4946-6533
Rong ChenDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Jagat NarulaMount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York.
Allan C JustDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.
Carol HorowitzDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Zahi FayadBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Carlos Cordon-CardoDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York.
Eric SchadtDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Matthew A LevinDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
David L ReichDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Valentin FusterThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Barbara MurphyDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
John C HeDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Alexander W CharneyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Erwin P BöttingerThe Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York.ORCID 0000-0001-6868-6676
Benjamin S GlicksbergDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-4515-8090
Steven G CocaDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-0928-9168
Girish N NadkarniDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
on behalf of the Mount Sinai COVID Informatics Center (MSCIC)
Icahn School of Medicine at Mount Sinai · USHasso Plattner Institute · DE

Funding

Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
Genomic Medicine Pilot For Hypertension And Kidney Disease In Primary CareU01HG007278 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOROWITZ, CAROL R · 2013 to 2018
$5.7M
North East Consortium for Transplant outcomes in APOL1 kidney Recipients (NECTAR) Clinical CenterU01DK116100 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI Darshana Dadhania, Samira Farouk · 2017 to 2026
$2.5M
Impact of Exercise on Kidney Function and Injury among Elders in the LIFE TrialR01DK115562 · NIDDK · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI COCA, STEVEN G, SHLIPAK, MICHAEL G · 2018 to 2020
$2.2M
Impact of early antiretroviral therapy on kidney disease outcomesR01DK112258 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WYATT, CHRISTINA M · 2017 to 2021
$2.1M
Leveraging Clinical Trials of Diabetic Kidney Disease to Advance BiomarkersU01DK106962 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G, PARIKH, CHIRAG R · 2015 to 2019
$1.3M
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and BiomarkersK23DK107908 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NADKARNI, GIRISH NITIN · 2016 to 2020
$930k
NHGRI NIH HHS U01 HG007278NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K23 DK107908NIDDK NIH HHS R01 DK108803NIDDK NIH HHS R01 DK112258NIDDK NIH HHS R01 DK115562NIDDK NIH HHS U01 DK106962NIDDK NIH HHS U01 DK116100NIOSH CDC HHS U01 OH011326
6 · The paper itself

Abstract

backgroundEarly reports indicate that AKI is common among patients with coronavirus disease 2019 (COVID-19) and associated with worse outcomes. However, AKI among hospitalized patients with COVID-19 in the United States is not well described.

methodsThis retrospective, observational study involved a review of data from electronic health records of patients aged ≥18 years with laboratory-confirmed COVID-19 admitted to the Mount Sinai Health System from February 27 to May 30, 2020. We describe the frequency of AKI and dialysis requirement, AKI recovery, and adjusted odds ratios (aORs) with mortality.

resultsOf 3993 hospitalized patients with COVID-19, AKI occurred in 1835 (46%) patients; 347 (19%) of the patients with AKI required dialysis. The proportions with stages 1, 2, or 3 AKI were 39%, 19%, and 42%, respectively. A total of 976 (24%) patients were admitted to intensive care, and 745 (76%) experienced AKI. Of the 435 patients with AKI and urine studies, 84% had proteinuria, 81% had hematuria, and 60% had leukocyturia. Independent predictors of severe AKI were CKD, men, and higher serum potassium at admission. In-hospital mortality was 50% among patients with AKI versus 8% among those without AKI (aOR, 9.2; 95% confidence interval, 7.5 to 11.3). Of survivors with AKI who were discharged, 35% had not recovered to baseline kidney function by the time of discharge. An additional 28 of 77 (36%) patients who had not recovered kidney function at discharge did so on posthospital follow-up.

conclusionsAKI is common among patients hospitalized with COVID-19 and is associated with high mortality. Of all patients with AKI, only 30% survived with recovery of kidney function by the time of discharge.

Indexed as

SARS-CoV-2Acute Kidney InjuryAgedAged, 80 and overCOVID-19FemaleHematuriaHospital MortalityHospitals, PrivateHospitals, UrbanHumansIncidenceInpatientsLeukocytesMaleMiddle Agedacute renal failureclinical nephrologyCOVID-19dialysis

Identifiers

PMID32883700
PMCPMC7894657
OpenAlexW3082170884

What OpenQuestion holds

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Registered trials

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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.