Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm

In patients undergoing IMV, IVCdmax, TAPSE, and the tricuspid E-wave peak show strong correlations with VExUS grading. A right ventricular function assessment model based on VExUS grading and the CART algorithm can effectively evaluate right ventricular performance and may serve as a useful tool in identifying venous congestion.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-09-04
DOI
https://doi.org/10.3389/fcvm.2025.1608210
Primary Topic
Ultrasound in Clinical Applications
Type
article
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article

Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm

Jianjun Zhang, JinRong Wang, Pan Gao, Yuanyuan Du et al.
Frontiers in Cardiovascular Medicine
Ultrasound in Clinical Applications
article

Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm

Jianjun Zhang, JinRong Wang, Pan Gao, Yuanyuan Du, Jun Gao
article en

Abstract

In patients undergoing IMV, IVCdmax, TAPSE, and the tricuspid E-wave peak show strong correlations with VExUS grading. A right ventricular function assessment model based on VExUS grading and the CART algorithm can effectively evaluate right ventricular performance and may serve as a useful tool in identifying venous congestion.

Frontiers in Cardiovascular MedicineVol. 12
Hebei Medical University (CN), Harrison International Peace Hospital (CN)
Openalex Percentile: Top 72%
Ultrasound in Clinical Applications
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