开发和验证一个预后模型的早期死亡风险在患有发性心肌炎的患者
Jingjing Zhang1, Chuanyu Gao2, Jing Zhang1
1Department of Coronary Care Unit, People's Hospital of Zhengzhou University, Heart Center of Henan Provincial People's Hospital/Central China Fuwai Hospital, Zhengzhou, China.
Cardiovascular diagnosis and therapy
|May 19, 2025
概括
发性心肌炎 (FM) 是一种严重的疾病. 这项研究确定了七个关键因素,可以预测 FM 患者的早期死亡率,有助于早期风险分层和改善结果.
科学领域:
- 心脏病学 心脏病学
- 关键护理医学 关键护理医学
- 医疗信息学 医疗信息学
背景情况:
- 发性心肌炎 (FM) 具有显著的死亡风险.
- 早期识别高风险 FM 患者对于及时干预至关重要.
- 这项研究解决了改善FM风险分层的需求.
研究的目的:
- 确定在发性心肌炎中早期死亡的独立预测因素.
- 开发和验证 FM 患者早期死亡率的预测模型.
- 为高风险的FM个体增强临床决策.
主要方法:
- 对119名住院 FM 患者 (2018-2023) 的回顾性分析.
- 用单变量和LASSO考克斯回归来进行因子识别.
- 开发并验证了一个使用bootstrap,ROC和DCA的nomogram.
主要成果:
- 七个因素被确定为独立预测因素:呼吸道症状,心肺复苏,肌素,直接胆红素,TSH,乳酸和LVEF.
- 预测模型在培训和验证集中表现出强大的区分能力,具有高的AUC和C指数值.
- 卡普兰-梅尔分析和DCA证实了该模型在分层风险和提供临床实用性的能力.
结论:
- 已经开发了一种有效的预测模型,用于FM的早期死亡率.
- 该模型结合了七个关键的临床和实验室因素.
- 这种工具可以帮助早期识别高风险的 FM 患者.
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