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

TL;DR
This study develops a nomogram model using right ventricular strain and clinical parameters to predict 28-day mortality in sepsis patients.
Contribution
A novel nomogram model incorporating right ventricular strain and clinical biomarkers is developed and validated for sepsis prognosis.
Findings
Non-survivors had significantly lower right ventricular free wall and global strain compared to survivors.
The nomogram model achieved an AUC of 0.907 for predicting 28-day mortality in sepsis patients.
Age, SOFA score, procalcitonin, lactate, and RV-FWS were identified as independent risk factors for poor outcomes.
Abstract
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. 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. 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…
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Taxonomy
TopicsUltrasound in Clinical Applications · Sepsis Diagnosis and Treatment · Hemodynamic Monitoring and Therapy
