Evidence map›Paper›PMID 40535148›Full record

ArticleFrontiers in cardiovascular medicine2025

Predicting prognosis of sepsis in patients based on right ventricular strain imaging development and validation of a nomogram model.

Qinxin Wang, Hongmin Chen, Bingyi Zhang, Chang Zhou, Boyuan Xing, Chang Li, Shijin Xu, Yun Liu

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Article in Frontiers in cardiovascular medicine, 2025. 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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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

8 authors.

Qinxin Wang *Department of Ultrasound Imaging, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.
Hongmin Chen *Department of Ultrasound Imaging, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.
Bingyi ZhangDepartment of Ultrasound Imaging, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.
Chang ZhouDepartment of Ultrasound Imaging, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.
Boyuan XingDepartment of Ultrasound Imaging, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.
Chang LiDepartment of General Practice, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.
Shijin XuDepartment of Ultrasound Imaging, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.
Yun LiuDepartment of Ultrasound Imaging, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The right ventricle (RV) plays a significant role in septic myocardial injury and associated organ dysfunction. Hence, identifying right ventricular systolic dysfunction (RVSD) early is crucial for improving outcomes in septic patients, yet current research on RVSD in sepsis remains limited. Objective: The study aims to identify risk factors for adverse outcomes in septic patients and construct a nomogram prediction model incorporating right ventricular strain and right ventricle-pulmonary artery coupling parameters. Methods: This single-center prospective study included 156 sepsis patients admitted from September 2021 to October 2024. General clinical, laboratory, and echocardiographic data were collected within 72 h of sepsis diagnosis. Prognosis was used to divide patients into two groups. Lasso regression was used to examine the baseline features of both groups. Multivariable logistic regression analysis and a nomogram were used to predict sepsis prognosis. The relationship between RVSD and 28-day mortality was examined. Results: Within 28 days, 52 of 141 sepsis patients died. Univariate analysis showed that the non-survivor cohort was older and had higher APACHE II and Sequential Organ Failure Assessment (SOFA) ratings and procalcitonin, B-type natriuretic peptide, cTnI, and lactate. RV-free wall strain (-18.9% ± 1.6% vs. -20.1% ± 1.5%, Conclusion: The RV-GS/PASP ratio demonstrated significant prognostic utility for predicting clinical outcomes in sepsis patients. Furthermore, the nomogram model incorporating age, SOFA score, procalcitonin, lactate, and RV-FWS exhibited excellent discriminative ability, with an AUC of 0.907.

Indexed as

nomogram modelprognostic analysisright ventricular systolic dysfunctionsepsisstrain

Identifiers

PMID40535148
PMCPMC12174150

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