Evidence map›Paper›PMID 41714981›Full record

ArticleBMC infectious diseases2026

Trajectory of early creatinine change is associated with the prognosis of sepsis patients.

Dan Liu, Zhonglin Zhang, Aihua Qin, Xiaofeng Li, Jian Zhao, Huihua Jiang, Yi Zhao, Yuanzhuo Chen, Hu Peng

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Dan Liu *Department of Emergency, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Middle Road, Jingan District, Shanghai, People's Republic of China.
Zhonglin Zhang *Department of Emergency, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Middle Road, Jingan District, Shanghai, People's Republic of China.
Aihua Qin *Department of Transfusion Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
Xiaofeng LiDepartment of Emergency, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Middle Road, Jingan District, Shanghai, People's Republic of China.
Jian ZhaoDepartment of Emergency, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Middle Road, Jingan District, Shanghai, People's Republic of China.
Huihua JiangDepartment of Emergency, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Middle Road, Jingan District, Shanghai, People's Republic of China.
Yi ZhaoDepartment of Emergency, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Middle Road, Jingan District, Shanghai, People's Republic of China.
Yuanzhuo ChenDepartment of Emergency, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Middle Road, Jingan District, Shanghai, People's Republic of China. chenyuanzhuo@tongji.edu.cn.
Hu PengDepartment of Emergency, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Middle Road, Jingan District, Shanghai, People's Republic of China. penghu@tongji.edu.cn.

Funding

National Natural Science Foundation of China 82472196
6 · The paper itself

Abstract

backgroundNumerous studies have investigated the creatinine in patients with sepsis, and many meaningful results have been obtained. However, few studies have measured the creatinine multiple times and established trajectory models for patients with sepsis. Thus, we explored the influence of 72-h creatinine trajectory in patients with sepsis through latent class trajectory models.

methodsData from patients with sepsis were extracted from the Medical Information Mart for Intensive Care-IV database for inclusion in a retrospective cohort study. Three creatinine values within 72 h after hospitalization were extracted, and the interval between each creatinine value was 24 h. The creatinine measured three times after admission was analyzed using latent class trajectory models to construct a trajectory model. The outcome was 28-day mortality. The survival probability of different trajectory groups was investigated using Kaplan-Meier (K-M) analysis, and the relationship between different creatinine trajectories and 28-day mortality risk was investigated using Cox proportional-hazards regression model.

resultsThis study included 8663 patients with sepsis. Five different creatinine trajectories were identified based on model-fit criteria. Class 1 started at a low level and remained stable at that low level; Class 2 showed a gradual upward trend; Class 3 stabilized at a high level; Class 4 exhibited a trend of initially decreasing and then increasing; Class 5 presented an inverted U-shape. The K-M analysis indicated that patients in class 2 had the lowest probability of survival. Univariate and multivariate Cox regression analysis indicated that, with class 1 as a reference, patients in class 2 had the highest 28-day mortality risk (P < 0.001). Subgroup analysis indicated that a nominal interaction occurred between CRRT group and creatinine trajectory in the 28-day mortality (P < 0.05).

conclusionTrajectory of early creatinine change is associated with the prognosis of sepsis patients, patients with persistently elevated creatinine in the first three days had a higher mortality risk. CLINICAL TRIAL: Non-applicable

Indexed as

CreatinineSepsisAgedFemaleHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesCreatinineCreatinineLatent class trajectory modelsSepsis

Identifiers

PMID41714981
PMCPMC13019840

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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.