开发和内部验证一个实用的模型,以预测30天死亡率的严重急性胰腺炎患者的发展和内部验证
Ying Chen1,2, Qing Li1,2, Liang Ma1,2
1Department of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Annals of medicine
|July 21, 2023
概括
一个新的模型预测了入住ICU的严重急性胰腺炎 (SAP) 患者的30天死亡率. 该模型使用易于获得的生物化学标记,以帮助SAP结果的临床决策.
科学领域:
- 关键护理医学 关键护理医学
- 胃肠病学 胃肠病学
- 生物统计学 生物统计学
背景情况:
- 严重急性胰腺炎 (SAP) 是一种严重的疾病,在重症监护室 (ICU) 死亡率高.
- 准确预测SAP死亡率对于及时干预和资源分配至关重要.
研究的目的:
- 开发和验证一个30天死亡率预测模型,用于重症急性胰腺炎患者入住ICU.
- 确定与SAP死亡率相关的关键临床和生化指标.
主要方法:
- 对149名在48小时内被送往重症监护室的SAP患者的回顾性审查.
- 逐步回归分析以建立使用临床和生化数据的预测模型.
- 使用引导和计算C指数进行内部验证.
主要成果:
- 发现的关键预测因素包括年龄,阿斯巴酸胺转移酶 (AST),性酸酶 (ALP),甘油三 (TG) 和肌素 (CREA).
- 开发的模型表现出强大的预测性能,曲线下的面积 (AUC) 为0.875.5.
- 内部验证证实了该模型的稳定性,其C指数为0.859.
结论:
- 已经建立了一个精细的预测模型,使用易于获得的生化参数来确定ICU患者30天SAP死亡率.
- 该模型显示出有希望的准确性,并可能有助于临床管理.
- 在广泛临床应用之前,需要外部和前性验证.
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