Evidence map›Paper›PMID 41717574›Full record

ArticleFrontiers in cardiovascular medicine2026

Development of a risk prediction model for left ventricular thrombosis in STEMI patients.

Jingjing Wang, Ping Ma, QingBin Xu, Lan Hai, Shichang Zhang

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Article in Frontiers in cardiovascular 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jingjing Wang *Department of Critical Care Medicine, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China.
Ping Ma *Department of Cardiovascular Medicine, Cardiovascular and Cerebrovascular Disease Hospital of General Hospital of Ningxia Medical University, Yinchuan, China.
QingBin XuDepartment of Cardiovascular Medicine, Cardiovascular and Cerebrovascular Disease Hospital of General Hospital of Ningxia Medical University, Yinchuan, China.
Lan HaiDepartment of Cardiovascular Medicine, The Fifth People's Hospital of Ningxia, Shizuishan, China.
Shichang ZhangDepartment of Cardiovascular Medicine, Cardiovascular and Cerebrovascular Disease Hospital of General Hospital of Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop a risk prediction model for left ventricular thrombus (LVT) formation in patients with acute ST-segment elevation myocardial infarction (STEMI). Patients and methods: We performed a retrospective analysis of patients with STEMI in our hospital between October 2017 to October 2020. According to transthoracic echocardiography, these patients were included in the LVT group ( Results: The risk prediction model contained seven variables including MCV (OR = 1.251, 95% CI = 1.021-1.531, Conclusion: MCV, D-dimer level, CRP level, LVEF, A-wave velocity, pericardial effusion, and anterior wall infarction were independently related to the occurrence of LVT in STEMI at the acute stage. The multivariate logistic regression risk prediction model developed in this study demonstrates good discrimination and calibration, enabling preliminary risk stratification for LVT in patients with acute STEMI.

Indexed as

acute ST-segment elevation myocardial infarctionleft ventricular thrombusnomogramrisk factorsrisk prediction model

Identifiers

PMID41717574
PMCPMC12913553

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