Evidence map›Paper›PMID 40540505›Full record

ArticlePloS one2025

Risk factors analysis of 90-day mortality in patients with sepsis in intensive care unit.

Yuntian Xu, He Zhang, Jiezhi Li, Nan Wang, Huifeng Yuan

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuntian XuDepartment of Critical Care Medicine, The Third Affiliated Hospital of Anhui Medical University, Hefei First People's Hospital, Hefei, China.
He ZhangDepartment of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jiezhi LiDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Nan WangDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Huifeng YuanDepartment of Critical Care Medicine, The Third Affiliated Hospital of Anhui Medical University, Hefei First People's Hospital, Hefei, China.ORCID 0009-0008-8557-4164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence and mortality of sepsis in the intensive care unit (ICU) remain persistently high. This study primarily investigates the risk factors associated with the 90-day mortality in sepsis patients.

methodThis retrospective study included 123 sepsis patients admitted to a hospital in China from January 2015 to December 2018, clinical and abdominal CT data were compared between survivors and non-survivors, logistic regression and Cox regression analyses were performed on the abdominal CT data, Finally, survival curves for different skeletal muscle indices were analyzed using the Kaplan-Meier (K-M) method.

resultIn the abdominal CT scan data, significant differences were observed between survivors and non-survivors in skeletal muscle density (SMD), skeletal muscle area (SMA), skeletal muscle index (SMI), and subcutaneous adipose tissue area (SAT); Cox regression analysis revealed that higher skeletal muscle density (SMD) (HR = 0.953; 95% CI = 0.923-0.984; p = 0.003), skeletal muscle area (SMA) (HR = 0.986; 95% CI = 0.976-0.997; p = 0.011), and skeletal muscle index (SMI) (HR = 0.951; 95% CI = 0.917-0.985; p = 0.005) were significantly associated with lower 90-day mortality compared to non-survivors. Finally, the Kaplan-Meier (K-M) curves demonstrated differences in survival based on the median skeletal muscle index (SMI).

conclusionBody composition parameters assessed by abdominal CT scans are highly associated with 90-day mortality in ICU patients with sepsis. Among them, SMD, SMA, and SMI are valuable prognostic factors.

Indexed as

Intensive Care UnitsSepsisAdultAgedChinaFemaleHospital MortalityHumansKaplan-Meier EstimateMaleMiddle AgedMuscle, SkeletalRetrospective StudiesRisk FactorsTomography, X-Ray Computed

Identifiers

PMID40540505
PMCPMC12180717

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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.