结合sST2/LVMI比率和修改后的MELD得分,可以预测末期心力衰竭死亡率
Wioletta Szczurek-Wasilewicz1,2, Michał Jurkiewicz3, Michał Skrzypek4
12nd Department of Cardiology and Angiology, Silesian Center for Heart Diseases, 41-800 Zabrze, Poland.
International journal of molecular sciences
|January 11, 2025
概括
新的生物标志物,瘤发生率的可溶性抑制2/左心室质量指数 (sST2/LVMI) 结合修改的末期肝病模型 (modMELD) 和MELD-XI,预测末期心力衰竭 (HF) 患者的一年死亡率.
科学领域:
- 心脏病学 心脏病学
- 生物标志物研究 生物标志物研究
- 预测模型的预测建模
背景情况:
- 生物标志物对于管理心力衰竭 (HF) 至关重要,有助于风险分层和治疗监测.
- 预测末期HF的死亡率对于患者管理至关重要.
研究的目的:
- 评估末期HF患者的一年死亡率的预测因素.
- 为了评估sST2/LVMI比率与modMELD和MELD-XI得分相结合的预后值.
主要方法:
- 在2018年至2023年期间连续住院的429名末期高温肺炎患者的前性单中心研究.
- 使用接收器运行特征 (ROC) 曲线分析一年死亡率.
- 作为预测模型的sST2/LVMI-modMELD和sST2/LVMI-MELD-XI比率的评估.
主要成果:
- 134名 (31.2%) 患者在一年内死亡.
- sST2/LVMI-modMELD显示出高预测能力 (AUC:0.92),具有92%的特异性和81%的灵敏度.
- sST2/LVMI-MELD-XI还表现出良好的预测能力 (AUC:0.90),具有85%的特异性和80%的灵敏度.
结论:
- sST2 / LVMI-modMELD和sST2 / LVMI-MELD-XI比率是末期HF的一年死亡率的独立预测指标.
- 这些结合的生物标志物模型在预后准确性方面明显优于它们的单个组件.
- 需要进一步进行大规模试验,以验证这些模型在高频管理中具有更广泛的临床应用.
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