Evidence map›Paper›PMID 39990101›Full record

ArticleKidney medicine2025

Sepsis-Associated Acute Kidney Disease Incidence, Trajectory, and Outcomes.

Hsiu-Yin Chiang, Chih-Chia Liang, Ya-Luan Hsiao, Uyen-Minh Le, Yi-Ching Chang, Pei-Shan Chen, David Ray Chang, I-Wen Ting, Hung-Chieh Yeh, Chin-Chi Kuo

Abstract read
In one paragraph

Article in Kidney medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Hsiu-Yin ChiangBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Chih-Chia LiangDepartment of Biomedical Informatics, College of Medicine, China Medical University, Taichung, Taiwan.
Ya-Luan HsiaoDepartment of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.
Uyen-Minh LeBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Yi-Ching ChangBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Pei-Shan ChenBig Data Center, China Medical University Hospital, Taichung, Taiwan.
David Ray ChangDivision of Nephrology, Department of Internal Medicine, China Medical University Hospital, Baltimore, MD.
I-Wen TingDivision of Nephrology, Department of Internal Medicine, China Medical University Hospital, Baltimore, MD.
Hung-Chieh YehDivision of Nephrology, Department of Internal Medicine, China Medical University Hospital, Baltimore, MD.
Chin-Chi KuoBig Data Center, China Medical University Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: Systematic evaluation of the prognosis from sepsis-associated acute kidney disease (SA-AKD) using real-world data is limited. This study aimed to use data algorithms on the electronic health records to trace the SA-AKD trajectory from acute kidney injury (AKI) to chronic kidney disease (CKD). Study Design: A retrospective cohort study. Setting & Participants: Adult inpatients with first sepsis episode surviving 90 days after AKD in a quaternary referral medical center. Exposure: We defined SA-AKD as having sustained ≥1.5-fold increased serum creatinine levels or initiating kidney replacement therapy after the SA-AKI, and we classified SA-AKD into recovery, relapse, and persistent SA-AKD subgroups. Outcomes: All-cause mortality, kidney replacement therapy (KRT), Analytical Approach: A multivariable Cox proportional hazards models. Results: Of 24,038 eligible inpatients with sepsis, 42.2% had SA-AKI, and 17.6% progressed to SA-AKD (43.6% recovery, 8.3% relapse, 32.2% persistent, and 15.9% unclassified). Compared with the recovery subgroup, the 1-year mortality risk for the relapse, persistent, and unclassified SA-AKD subgroups were 1.57 (adjusted hazard ratios [aHRs]; 95% CI, 1.22-2.01), 1.36 (1.13-1.63), and 0.65 (0.48-0.89), respectively. Risks of KRT initiation were 3.27 (2.14-4.98), 6.01 (4.41-8.19), and 0.98 (0.55-1.74), respectively, and corresponding aHRs for Limitations: Selection bias and information bias could be present because of limiting population to sepsis survivors and because of no standardized follow-up protocol for kidney function. Conclusions: SA-AKD without recovery is associated with increased and long-term risks of KRT initiation, mortality, and increased risk of

Indexed as

acute kidney diseaseacute kidney injurykidney replacement therapymortalitySepsis

Identifiers

PMID39990101
PMCPMC11847305

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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.