Evidence map›Paper›PMID 40113721›Full record

ArticleJournal of nephrology2025

Epidemiology, trajectories and outcomes of acute kidney injury among hospitalized patients: a large retrospective multicenter cohort study.

Esra Adiyeke, Yuanfang Ren, Shmuel Fogel, Parisa Rashidi, Mark Segal, Elizabeth A Shenkman, Azra Bihorac, Tezcan Ozrazgat-Baslanti

Abstract readMulticenter Study
In one paragraph

Article in Journal of nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Esra AdiyekeIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Yuanfang RenIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Shmuel FogelIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Parisa RashidiIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Mark SegalDepartment of Medicine, Division of Nephrology, Hypertension, and Renal Transplantation, University of Florida, PO Box 100224, Gainesville, FL, 32610-0224, USA.
Elizabeth A ShenkmanDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Azra BihoracIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Tezcan Ozrazgat-BaslantiIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA. tezcan@ufl.edu.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
Development and Validation of Computational Algorithms to Assess Kidney Health in Electronic Health RecordsK01DK120784 · NIDDK · UNIVERSITY OF FLORIDA · PI OZRAZGAT BASLANTI, TEZCAN · 2020 to 2023
$580k
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001427NIDDK NIH HHS K01 DK120784
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a clinical syndrome affecting almost one-fifth of hospitalized patients, as well as over half of the patients who are admitted to the intensive care unit (ICU). Stratifying AKI patients into groups based on severity and duration would facilitate targeted efforts for treating AKI.

methodsIn a retrospective, multicenter longitudinal cohort study of 2,187,254 hospital encounters from 935,679 patients who were admitted between 2012 and 2020 to health centers in the OneFlorida + Network, we analyzed the impact of AKI trajectories (i.e. rapidly reversed AKI, persistent AKI with renal recovery, and persistent AKI without renal recovery) on patients' clinical outcomes, including hospital, 30-day, 1-year, and 3-year mortality, kidney replacement therapy, new chronic kidney disease (CKD) within 90 days or 1-year of discharge, CKD progression within 1-year of discharge, resource utilization, hospital disposition, and major complications during hospitalization.

resultsAmong all encounters, 14% of patients had AKI, of whom 63%, 21%, and 16% had Stage 1, 2, and 3, respectively, as the worst AKI stage. The fraction of patients with persistent AKI was 31%. Patients with AKI had worse clinical outcomes and increased resource utilization compared to patients without the condition. One-year mortality was 5 times greater for patients with persistent AKI compared to those without AKI.

conclusionsPersistent AKI was associated with prolonged hospitalization, increased ICU admission and greater mortality compared to the other groups. This may emphasize the critical need for devising strategies targeting effective management of AKI and prevention of persisting AKI.

Indexed as

Acute Kidney InjuryHospitalizationAgedAged, 80 and overDisease ProgressionFemaleHospital MortalityHumansIntensive Care UnitsLongitudinal StudiesMaleMiddle AgedRenal Insufficiency, ChronicRenal Replacement TherapyRetrospective StudiesSeverity of Illness IndexAcute kidney injuryEpidemiologyPersistentRecoverySurvivalTrajectory

Identifiers

PMID40113721
PMCPMC12670628

What Socratic 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 Socratic graph.