Evidence map›Paper›PMID 37853103›Full record

ArticleScientific reports2023

Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis.

Esra Adiyeke, Yuanfang Ren, Ziyuan Guan, Matthew M Ruppert, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Biomolecules · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Esra AdiyekeIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Yuanfang RenIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Ziyuan GuanIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Matthew M RuppertIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Parisa RashidiIntelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
Azra Bihorac *Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA. abihorac@ufl.edu.
Tezcan Ozrazgat-Baslanti *Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.

Funding

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 TR000064NIDDK NIH HHS K01 DK120784
6 · The paper itself

Abstract

Persistence of acute kidney injury (AKI) or insufficient recovery of renal function was associated with reduced long-term survival and life quality. We quantified AKI trajectories and describe transitions through progression and recovery among hospitalized patients. 245,663 encounters from 128,271 patients admitted to UF Health between 2012 and 2019 were retrospectively categorized according to the worst AKI stage experienced within 24-h periods. Multistate models were fit for describing characteristics influencing transitions towards progressed or regressed AKI, discharge, and death. Effects of age, sex, race, admission comorbidities, and prolonged intensive care unit stay (ICU) on transition rates were examined via Cox proportional hazards models. About 20% of encounters had AKI; where 66% of those with AKI had Stage 1 as their worst AKI severity during hospitalization, 18% had Stage 2, and 16% had Stage 3 AKI (12% with kidney replacement therapy (KRT) and 4% without KRT). At 3 days following Stage 1 AKI, 71.1% (70.5-71.6%) were either resolved to No AKI or discharged, while recovery proportion was 38% (37.4-38.6%) and discharge proportion was 7.1% (6.9-7.3%) following AKI Stage 2. At 14 days following Stage 1 AKI, patients with additional frail conditions stay had lower transition proportion towards No AKI or discharge states. Multistate modeling framework is a facilitating mechanism for understanding AKI clinical course and examining characteristics influencing disease process and transition rates.

Indexed as

Acute Kidney InjuryIntensive Care UnitsDisease ProgressionHumansRenal Replacement TherapyRetrospective StudiesRisk Factors

Identifiers

PMID37853103
PMCPMC10584933

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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.