Evidence map›Paper›PMID 31233518›Full record

ArticlePloS one2019

Incident infection following acute kidney injury with recovery to baseline creatinine: A propensity score matched analysis.

Benjamin R Griffin, Zhiying You, John Holmen, Megan SooHoo, Katja M Gist, James F Colbert, Michel Chonchol, Sarah Faubel, Anna Jovanovich

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Acute kidney injury and subsequent risk of late-onset infection among extremely low gestational age newborns.Journal of perinatology : official journal of the California Perinatal Association · 2025
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  14. Acute Kidney Injury and Fluid Overload in Pediatric Cardiac Surgery.Current treatment options in pediatrics · 2019
    Article
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

9 authors.

Benjamin R GriffinDivision of Renal Diseases and Hypertension, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States of America.
Zhiying YouDivision of Renal Diseases and Hypertension, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States of America.
John HolmenIntermountain Healthcare System, Salt Lake City, UT, United States of America.ORCID 0000-0003-1852-5174
Megan SooHooDepartment of Pediatrics, Children's Hospital Colorado, Aurora, CO, United States of America.
Katja M GistDepartment of Pediatrics, Children's Hospital Colorado, Aurora, CO, United States of America.
James F ColbertDivision of Infectious Diseases, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States of America.
Michel ChoncholDivision of Renal Diseases and Hypertension, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States of America.
Sarah FaubelDivision of Renal Diseases and Hypertension, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States of America.
Anna JovanovichDivision of Renal Diseases and Hypertension, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States of America.ORCID 0000-0001-9416-453X

Funding

TRAINING IN RENAL &ELECTROLYTE DISEASE &HYPERTENSIONT32DK007135 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JOHNSON, RICHARD JOSEPH, KENDRICK, JESSICA B · 1986 to 2024
$5.3M
Aging-associated changes in gut microbiome drive sepsis severityK08AG061144 · NIA · UNIVERSITY OF COLORADO DENVER · PI COLBERT, JAMES F · 2019 to 2023
$799k
Aging-related changes in gut microbiome mediate septic kidney injuryR03AG056353 · NIA · UNIVERSITY OF COLORADO DENVER · PI COLBERT, JAMES F · 2017 to 2018
$233k
CSRD VA IK2 CX001030NIA NIH HHS K08 AG061144NIA NIH HHS R03 AG056353NIDDK NIH HHS T32 DK007135
6 · The paper itself

Abstract

backgroundSevere acute kidney injury (AKI) is associated with subsequent infection. Whether AKI followed by a return to baseline creatinine is associated with incident infection is unknown.

objectiveWe hypothesized that risk of both short and long term infection would be higher among patients with AKI and return to baseline creatinine than in propensity score matched peers without AKI in the year following a non-infectious hospital admission.

designRetrospective, propensity score matched cohort study.

participantsWe identified 494 patients who were hospitalized between January 1, 1999 and December 31, 2009 and had AKI followed by return to baseline creatinine. These were propensity score matched to controls without AKI. MAIN MEASURES: The predictor variable was AKI defined by International Classification of Diseases, Ninth Revision (ICD-9) codes and by the Kidney Disease Improving Global Outcomes definition, with return to baseline creatinine defined as a decrease in serum creatinine level to within 10% of the baseline value within 7 days of hospital discharge. The outcome variable was incident infection defined by ICD-9 code within 1 year of hospital discharge.

resultsAKI followed by return to baseline creatinine was associated with a 4.5-fold increased odds ratio for infection (odds ratio 4.53 [95% CI, 2.43-8.45]; p<0.0001) within 30 days following discharge. The association between AKI and subsequent infection remained significant at 31-60 days and 91 to 365 days but not during 61-90 days following discharge.

conclusionAmong patients from an integrated health care delivery system, non-infectious AKI followed by return to baseline creatinine was associated with an increased odds ratio for infection in the year following discharge.

Indexed as

Propensity ScoreAcute Kidney InjuryCase-Control StudiesCreatinineFemaleHumansInfectionsMaleMatched-Pair AnalysisMiddle AgedSurvival AnalysisCreatinine

Identifiers

PMID31233518
PMCPMC6590794

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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.