Evidence map›Paper›PMID 42164579›Full record

ArticleJournal of intensive medicine2026

Identifying dynamic antithrombin Ⅲ trajectories to predict clinical outcomes in intra-abdominal sepsis.

Yuteng Ma, Yini Sun, Chaoyang Wang, Siang Huang, Qian Gao, Qianyi Xu, Mu Sun, Qiaojie Sun, Ming Dong

Abstract read
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Article in Journal of intensive medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuteng MaDepartment of Gastrointestinal Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Yini SunDepartment of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Chaoyang WangDepartment of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Siang HuangDepartment of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Qian GaoPopulation Health Sciences, University College London, London, UK.
Qianyi XuMedical and Health Division, Clinical Specialty Product Center, Neusoft Corporation, Shenyang, Liaoning, China.
Mu SunMedical and Health Division, Clinical Specialty Product Center, Neusoft Corporation, Shenyang, Liaoning, China.
Qiaojie SunMedical and Health Division, Clinical Specialty Product Center, Neusoft Corporation, Shenyang, Liaoning, China.
Ming DongDepartment of Gastrointestinal Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intra-abdominal infection (IAI) is the leading cause of sepsis and is often complicated by disseminated intravascular coagulation (DIC), leading to increased mortality. Antithrombin Ⅲ (AT Ⅲ), a crucial endogenous anticoagulant, becomes significantly depleted during sepsis due to increased consumption and reduced synthesis. Its levels are closely associated with disease severity and clinical outcomes. Currently, there is a lack of evidence on the dynamic changes of AT Ⅲ and their relationship with the severity and prognosis of sepsis caused by IAI. Methods: This was a prospective observational study. The patients with IAI-induced sepsis admitted to the intensive care unit (ICU) of the First Affiliated Hospital of China Medical University between April 20, 2017, and December 31, 2024, constituted the development cohort. Latent class trajectory modeling (LCTM) was applied to classify patients into different subclasses based on the AT Ⅲ level trajectories over the first 7 days after sepsis diagnosis. Clinical characteristics and outcomes were compared among these subclasses. Additionally, the AT Ⅲ trajectory patterns were validated in an external cohort of IAI patients derived from the China Multicenter Sepsis dataset. Results: Four dynamic AT Ⅲ trajectory subclasses were identified and further validated by data from the development cohort ( Conclusions: This prospective cohort study uncovers heterogeneity in AT Ⅲ trajectories among IAI-induced sepsis, which were closely associated with the disease severity over time. Incorporating Class 1 (initial low AT followed by rapid decline) improves the predictive value for sepsis prognosis.

Indexed as

Antithrombin IIIIntra-abdominal infectionMortalitySepsisTrajectory analysis

Identifiers

PMID42164579
PMCPMC13184478

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