Evidence map›Paper›PMID 32282046›Full record

ArticleJAMA network open2020

Association Between Early Recovery of Kidney Function After Acute Kidney Injury and Long-term Clinical Outcomes.

Pavan K Bhatraju, Leila R Zelnick, Vernon M Chinchilli, Dennis G Moledina, Steve G Coca, Chirag R Parikh, Amit X Garg, Chi-Yuan Hsu, Alan S Go, Kathleen D Liu and 6 more

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05247502 (Impact of the Characteristics of Acute Renal Failure in Intensive Care on the Long-term Renal Prognosis), which is not on this map. Cited by 96 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 4 pooled it
11.3field-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.

NCT05247502 recruitingnot on this mapstarted 2022, after this paper: background citation

Impact of the Characteristics of Acute Renal Failure in Intensive Care on the Long-term Renal Prognosis: Prospective Multicenter Cohort Study

TypeobservationalSponsorUniversity Hospital, Clermont-FerrandRan2022 to 2028Enrolled860ConditionsAcute Kidney Injury, Transient Acute Renal Failure, Persistent Acute Renal FailureArmsData observation
3 · Its place in the literature

Who cites it

96 citing papers in PubMed, 4 syntheses or guidelines pooled it, 147 citations in OpenAlex.

  1. Long-term risks of adverse kidney outcomes after acute kidney injury: a systematic review and meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Pooled it
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  5. Impact of an Acute Kidney Injury Prevention Bundle in High-risk Intensive Care Unit Patients: A Single Center Before-After Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
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  20. Anti-Anaerobic Antibiotics, Gut Microbiota, and Sepsis-associated Acute Kidney Injury.American journal of respiratory and critical care medicine · 2025
    Article

36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 11 institutions in 2 countries.

Pavan K BhatrajuDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle.
Leila R ZelnickKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle.
Vernon M ChinchilliPenn State College of Medicine, Department of Public Health Sciences, Hershey, Pennsylvania.
Dennis G MoledinaSection of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Steve G CocaSection of Nephrology, Department of Internal Medicine, Mount Sinai School of Medicine, New York, New York.
Chirag R ParikhDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Amit X GargDivision of Nephrology, Department of Medicine, Western University, London, Ontario, Canada.
Chi-Yuan HsuDivision of Nephrology, Department of Medicine, University of California, San Francisco.
Alan S GoDivision of Nephrology, Department of Medicine, University of California, San Francisco.
Kathleen D LiuDivision of Nephrology, Department of Medicine, University of California, San Francisco.
T Alp IkizlerDivision of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee.
Edward D SiewDivision of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee.
James S KaufmanDivision of Nephrology, New York University School of Medicine, New York.
Paul L KimmelDivision of Renal Diseases and Hypertension, Department of Medicine, George Washington University Medical Center, Washington, DC.
Jonathan HimmelfarbKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle.
Mark M WurfelDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle.
University of Washington · USUniversity of California, San Francisco · USVanderbilt University Medical Center · USGeorge Washington University · USIcahn School of Medicine at Mount Sinai · USJohns Hopkins Medicine · USKaiser Permanente · USPennsylvania State University · USVA NY Harbor Healthcare System · USWestern University · CAYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2021
$21.0M
Study of the Care and Outcomes of REnal InsufficiencyU01DK060902 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2001 to 2025
$19.5M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Data Coordinating Center for the Natural History of AKI ConsortiumU01DK082183 · NIDDK · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CHINCHILLI, VERNON M · 2008 to 2018
$9.7M
Genetic Determinants of Outcomes in Acute Kidney InjuryU01DK084012 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN, WURFEL, MARK M · 2010 to 2019
$6.2M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Impact of Acute Kidney Injury on Kidney Disease ProgressionU01DK082192 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI IKIZLER, TALAT ALP · 2008 to 2018
$5.0M
Prospective Evaluation of Acute Kidney Injury (PEAK) CohotU01DK082223 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2008 to 2018
$4.0M
A Microphysiological System for Kidney Disease Modeling and Drug Efficacy TestingUG3TR002158 · NCATS · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2018
$2.9M
Anti-Inflammatory Interventions in Maintenance Hemodialysis PatientsU01DK099923 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HIMMELFARB, JONATHAN, IKIZLER, TALAT ALP · 2013 to 2018
$2.6M
Identifying opportunities to lower rates of AKI and improve outcomesR01DK101507 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GO, ALAN S, HSU, CHI-YUAN · 2014 to 2017
$2.1M
CIHRNCATS NIH HHS UG3 TR002158NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K23 DK116967NIDDK NIH HHS K23 DK117065NIDDK NIH HHS K24 DK113381NIDDK NIH HHS R01 DK098233NIDDK NIH HHS R01 DK101507NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01 DK082183NIDDK NIH HHS U01 DK082185NIDDK NIH HHS U01 DK082192NIDDK NIH HHS U01 DK082223NIDDK NIH HHS U01 DK084012NIDDK NIH HHS U01 DK099923NIDDK NIH HHS U01 DK106962NIDDK NIH HHS U2C DK114886
6 · The paper itself

Abstract

Importance: The severity of acute kidney injury (AKI) is usually determined based on the maximum serum creatinine concentration. However, the trajectory of kidney function recovery could be an additional important dimension of AKI severity. Objective: To assess whether the trajectory of kidney function recovery within 72 hours after AKI is associated with long-term risk of clinical outcomes. Design, Setting, and Participants: This prospective, multicenter cohort study enrolled 1538 adults with or without AKI 3 months after hospital discharge between December 1, 2009, and February 28, 2015. Statistical analyses were completed November 1, 2018. Participants with or without AKI were matched based on demographic characteristics, site, comorbidities, and prehospitalization estimated glomerular filtration rate. Participants with AKI were classified as having resolving or nonresolving AKI based on previously published definitions. Resolving AKI was defined as a decrease in serum creatinine concentration of 0.3 mg/dL or more or 25% or more from maximum in the first 72 hours after AKI diagnosis. Nonresolving AKI was defined as AKI not meeting the definition for resolving AKI. Main Outcomes and Measures: The primary outcome was a composite of major adverse kidney events (MAKE), defined as incident or progressive chronic kidney disease, long-term dialysis, or all-cause death during study follow-up. Results: Among 1538 participants (964 men; mean [SD] age, 64.6 [12.7] years), 769 (50%) had no AKI, 475 (31%) had a resolving AKI pattern, and 294 (19%) had a nonresolving AKI pattern. After a median follow-up of 4.7 years, the outcome of MAKE occurred in 550 (36%) of all participants. The adjusted hazard ratio for MAKE was higher for patients with resolving AKI (adjusted hazard ratio, 1.52; 95% CI, 1.01-2.29; P = .04) and those with nonresolving AKI (adjusted hazard ratio 2.30; 95% CI, 1.52-3.48; P < .001) compared with participants without AKI. Within the population of patients with AKI, nonresolving AKI was associated with a 51% greater risk of MAKE (95% CI, 22%-88%; P < .001) compared with resolving AKI. The higher risk of MAKE among patients with nonresolving AKI was explained by a higher risk of incident and progressive chronic kidney disease. Conclusions and Relevance: This study suggests that the 72-hour period immediately after AKI distinguishes the risk of clinically important kidney-specific long-term outcomes. The identification of different AKI recovery patterns may improve patient risk stratification, facilitate prognostic enrichment in clinical trials, and enable recognition of patients who may benefit from nephrology consultation.

Indexed as

Long Term Adverse EffectsAcute Kidney InjuryAgedCohort StudiesFemaleFollow-Up StudiesGlomerular Filtration RateHumansMaleMiddle AgedPrognosisProportional Hazards ModelsProspective StudiesRecovery of FunctionTreatment OutcomeUnited States

Identifiers

PMID32282046
PMCPMC7154800
OpenAlexW3016228847

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Registered trials

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.