Evidence map›Paper›PMID 41695599›Full record

ArticleMediators of inflammation2026

The Impact of White Blood Cell Count Trajectories on Prognosis and Secondary Acute Kidney Injury in Sepsis Patients.

Jie Yan, Ailifeire Abudurexiti, Guligeina Yibubula, Wencai Li, Jing Liang

Abstract read
In one paragraph

Article in Mediators of inflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Jie YanClinical Laboratory Diagnostics, The Sixth Affiliated Hospital of Xinjiang Medical University, Urumqi, 830002, Xinjiang, China, xjmu.edu.cn.ORCID https://orcid.org/0009-0000-3892-6886
Ailifeire AbudurexitiSixth Clinical Medical College, Xinjiang Medical University, Urumqi, 830002, Xinjiang, China, xjmu.edu.cn.ORCID https://orcid.org/0009-0007-2753-1572
Guligeina YibubulaSixth Clinical Medical College, Xinjiang Medical University, Urumqi, 830002, Xinjiang, China, xjmu.edu.cn.ORCID https://orcid.org/0009-0005-7474-1893
Wencai LiSixth Clinical Medical College, Xinjiang Medical University, Urumqi, 830002, Xinjiang, China, xjmu.edu.cn.ORCID https://orcid.org/0009-0001-4768-9752
Jing LiangDepartment of Blood Transfusion, The Sixth Affiliated Hospital of Xinjiang Medical University, No. 39 Wuxing South Road, Urumqi, 830002, Xinjiang, China, xjmu.edu.cn.ORCID https://orcid.org/0009-0004-3108-6748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in critically ill patients, yet the prognostic value of longitudinal white blood cell (WBC) dynamics remains underexplored. Most studies rely on single-timepoint measurements, potentially overlooking important dynamic information for risk stratification. Objectives: This study aimed to identify distinct WBC trajectory patterns during the first 7 days of ICU admission and evaluate their associations with mortality and secondary AKI in sepsis patients. Methods: This retrospective cohort study analyzed 15,328 adult sepsis patients from the MIMIC-IV database (version 3.1) between 2008 and 2019. Group-based trajectory modeling (GBTM) was applied to daily WBC counts to identify trajectory subgroups. The primary outcome was 28-day mortality, with secondary outcomes including 90-day mortality and secondary AKI occurring after day 7. Cox proportional hazards regression was used to estimate hazard ratios with 95% confidence intervals. Subgroup analyses evaluated effect consistency across clinically relevant characteristics. Results: Four distinct WBC trajectory groups were identified: high ( Conclusions: Longitudinal WBC trajectory patterns provide superior prognostic information compared to single-timepoint measurements in sepsis patients, with persistently high WBC levels associated with increased mortality and secondary AKI risk.

Indexed as

Acute Kidney InjurySepsisAgedFemaleHumansIntensive Care UnitsLeukocyte CountLeukocytesMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective Studiesacute kidney injurygroup-based trajectory modelingmortalitysepsiswhite blood cell trajectory

Identifiers

PMID41695599
PMCPMC12905007

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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.