Evidence map›Paper›PMID 42216223›Full record

ArticleThrombosis journal2026

Thrombosis biomarkers: utility in early diagnosis and prognosis of severe pneumonia.

Yanru Fan, Rufei Ma, Yuan Zhang, Biao Hu, Huiling Wang, Lan Gao

Abstract read
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Article in Thrombosis journal, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yanru FanClinical Lab Department, Henan Provincial People's Hospital, No. 7, Wei Wu Road, Jinshui District, Zhengzhou, China.
Rufei MaClinical Lab Department, Henan Provincial People's Hospital, No. 7, Wei Wu Road, Jinshui District, Zhengzhou, China.
Yuan ZhangClinical Lab Department, Henan Provincial People's Hospital, No. 7, Wei Wu Road, Jinshui District, Zhengzhou, China.
Biao HuClinical Lab Department, Henan Provincial People's Hospital, No. 7, Wei Wu Road, Jinshui District, Zhengzhou, China.
Huiling WangClinical Lab Department, Henan Provincial People's Hospital, No. 7, Wei Wu Road, Jinshui District, Zhengzhou, China.
Lan GaoClinical Lab Department, Henan Provincial People's Hospital, No. 7, Wei Wu Road, Jinshui District, Zhengzhou, China. LanGao0129@163.com.

Funding

Henan Province Science and Technology Research Program Project SBGJ202103016Technology Research Program Project from the Henan Provincial 22102310301the Provincial Natural Science Foundation of Henan 222300420355the Provincial Natural Science Foundation of Henan 232300421278
6 · The paper itself

Abstract

backgroundPneumonia is a major health problem and the most important causes of mortality in all age groups worldwide. We investigated new automation technology to detect plasma biomarkers, including thrombinantithrombin complex (TAT), α2-plasmininhibitor-plasmin complex (PIC), soluble thrombomodulin (sTM), and tissue plasminogen activator-inhibitor complex (t-PAI·C), and evaluated their diagnostic performance and prognostic value for severe pneumonia patients.

methodsWe collected 414 patients date with pneumonia. sTM, t-PAI·C, TAT, PIC were measured by qualitative chemiluminescence immunoassay performed on HISCL analyzers. Other laboratory tests were evaluated on the day of non-severe pneumonia and severe pneumonia diagnosis.

resultsThere were significant differences in sTM, t-PAI·C, TAT, PIC (p < 0.0001), WBC (p = 0.023), PCT (p = 0.007) and IL-6 (p = 0.002) between the severe pneumonia and non-severe pneumonia groups, Logistic regression analysis showed that sTM (p = 0.001), t-PAI·C (p = 0.001), TAT (p = 0.022), PIC (p = 0.000) and APTT (p = 0.013) were independent risk factors for severe pneumonia. Logistic regression analysis showed that t-PAI·C (p = 0.006) was an independent risk factor for hospital mortality in severe pneumonia. The AUC of sTM combined with t-PAI·C, TAT and PIC on diagnosis of patients with severe pneumonia was 0.868 (95% CI: 0.837, 0.899). Kaplan-Meier survival analysis with a log-rank test showed the in-hospital death rate of severe pneumonia was higher in the high TAT (≥ 5.58ng/mL) level than in group with low TAT (< 5.58ng/mL) level (log rank < 0.029). The same trend with high t-PAI·C was also found in severe pneumonia patients (log rank < 0.021).

conclusionsThe thrombosis markers are helpful for the diagnosis and prognostic assessment of severe pneumonia.

Indexed as

Severe pneumoniaSoluble thrombomodulinThrombinantithrombin complexTissue plasminogen activator-inhibitor complexα2-plasmininhibitor- plasmin complex

Identifiers

PMID42216223
PMCPMC13435470

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