基于3种方法的COVID-19与心肌损伤的开发和验证
Xiaoqian Yu1, Liling Wang2, Chengzhen Zhang3
1Hospital of Shandong Technology and Business University, Yantai, China.
Medicine
|June 30, 2025
概括
一个新的预测模型识别了COVID-19患者心肌损伤的关键风险因素. 该模型使用年龄,酒精史,血压,心率,BMI和cystatin C,有助于早期检测和管理新型冠状病毒肺炎中心脏并发症.
科学领域:
- 心脏病学 心脏病学
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
背景情况:
- 新型冠状病毒肺炎 (COVID-19) 是一个重大的全球健康威胁.
- 心肌损伤影响了大量的COVID-19患者 (59.6%),但临床预测模型尚未开发.
- 对心脏并发症的有效预测对于管理COVID-19患者至关重要.
研究的目的:
- 开发和验证COVID-19患者心肌损伤的临床预测模型.
- 为了确定与心肌损伤相关的关键临床风险因素,在这个人群中.
- 改善COVID-19心脏并发症的早期检测和临床管理.
主要方法:
- 从2022年12月到2023年12月对1737名COVID-19患者的回顾性分析.
- 利用后勤回归技术 (1-因素,最佳子集,LASSO) 来选风险因素.
- 构建了一个多因素物流回归模型,并使用ROC曲线和校准分析评估其性能.
主要成果:
- 确定了年龄,酒精消费史,透静血压,心率,体重指数和囊素C作为心肌损伤的重要风险因素.
- 预测模型表现出良好的预测效率,预测集的曲线下面面积 (AUC) 为0.78 (0.75-0.81).
- 校准曲线显示了高精度,训练和验证集的平均误差为0.02.
结论:
- 在COVID-19患者中成功开发了一种强大的心肌损伤临床预测模型.
- 该模型有效地整合了易于访问的临床参数来进行风险评估.
- 这种工具可以帮助临床医生识别高风险个体,促进及时干预和改善患者的治疗结果.
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