Evidence map›Paper›PMID 30482577›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2019

Risk Factors for Recurrent Acute Kidney Injury in a Large Population-Based Cohort.

Kathleen D Liu, Jingrong Yang, Thida C Tan, David V Glidden, Sijie Zheng, Leonid Pravoverov, Chi-Yuan Hsu, Alan S Go

Open access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Article
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  10. Review
  11. Acute kidney injury results in long-term alterations of kidney lymphatics in mice.American journal of physiology. Renal physiology · 2024
    Article
  12. Article
  13. Observational
  14. Designing acute kidney injury clinical trials.Nature reviews. Nephrology · 2024
    Review
  15. Article
  16. Impact of Diabetes on the Recurrence and Prognosis of Acute Kidney Injury in Older Male Patients: A 10-Year Retrospective Cohort Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022
    Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Kathleen D LiuDivision of Nephrology, Department of Medicine, University of California, San Francisco, CA. Electronic address: kathleen.liu@ucsf.edu.
Jingrong YangDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Thida C TanDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
David V GliddenDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA.
Sijie ZhengDepartment of Nephrology, Kaiser Permanente Oakland Medical Center, Oakland, CA.
Leonid PravoverovDepartment of Nephrology, Kaiser Permanente Oakland Medical Center, Oakland, CA.
Chi-Yuan HsuDivision of Nephrology, Department of Medicine, University of California, San Francisco, CA; Division of Research, Kaiser Permanente Northern California, Oakland, CA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA.
Alan S GoDivision of Nephrology, Department of Medicine, University of California, San Francisco, CA; Division of Research, Kaiser Permanente Northern California, Oakland, CA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA; Department of Medicine, Stanford University School of Medicine, Stanford, CA; Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA.
University of California, San Francisco · USKaiser Permanente · USKaiser Permanente Oakland Medical Center · USStanford University · US

Funding

Prospective Evaluation of Acute Kidney Injury (PEAK) CohotU01DK082223 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2008 to 2018
$4.0M
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
NIDDK NIH HHS R01 DK101507NIDDK NIH HHS U01 DK082223
6 · The paper itself

Abstract

RATIONALE &

objectiveAcute kidney injury (AKI) has numerous sequelae. Repeated episodes of AKI may be an important determinant of adverse outcomes, including chronic kidney disease and death. In a population-based cohort study, we sought to determine the incidence of and predictors for recurrent AKI. STUDY

designRetrospective cohort study. SETTING &

participants38,659 hospitalized members of Kaiser Permanente Northern California who experienced an episode of AKI from 2006 to 2013. PREDICTORS: Demographic, clinical, and laboratory data, including baseline kidney function, proteinuria, hemoglobin level, comorbid conditions, and severity of AKI. OUTCOMES: Incidence and predictors of recurrent AKI. ANALYTICAL APPROACH: Multivariable Cox proportional hazard regression.

results11,048 (28.6%) experienced a second hospitalization complicated by AKI during follow-up (11.2 episodes/100 person-years), with the second episode of AKI occurring a median of 0.6 (interquartile range, 0.2-1.9) years after the first hospitalization. In multivariable analyses, older age, black race, and Hispanic ethnicity were associated with recurrent AKI, along with lower estimated glomerular filtration rate, proteinuria, and anemia. Concomitant conditions, including heart failure, acute coronary syndrome, diabetes, and chronic liver disease, were also multivariable predictors of recurrent AKI. Those who had higher acuity of illness during the initial hospitalization were more likely to have recurrent AKI, but greater AKI severity of the index episode was not independently associated with increased risk for recurrent AKI. In multivariable analysis of matched patients, recurrent AKI was associated with an increased rate of death (HR, 1.66; 95% CI, 1.57-1.77). LIMITATIONS: Analyses were based on clinically available data, rather than protocol-driven timed measurements of kidney function.

conclusionsRecurrent AKI is a common occurrence after a hospitalization complicated by AKI. Based on routinely available patient characteristics, our findings could facilitate identification of the subgroup of patients with AKI who may benefit from more intensive follow-up to potentially avoid recurrent AKI episodes.

Indexed as

Length of StayAcute Kidney InjuryAdultAgedAge FactorsCaliforniaCohort StudiesDisease ProgressionFemaleGlomerular Filtration RateHospitalizationHospital MortalityHumansInsurance, HealthMaleMiddle AgedAcute kidney injury (AKI)community-based cohorthospitalizationrecurrent AKIrenal functionrisk factorrisk stratification

Identifiers

PMID30482577
PMCPMC6647831
OpenAlexW2898441156

What OpenQuestion holds

Textmetadata
LicenceTDM
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.