诺莫格拉姆模型用于预测心力衰竭住院患者的急性损伤
Ruochen Xu1, Kangyu Chen1, Qi Wang1
1Heart Failure Center, The First Affiliated Hospital of USTC, University of Science and Technology of China, 230001 Hefei, Anhui, China.
Reviews in cardiovascular medicine
|September 4, 2024
概括
急性损伤 (AKI) 是心力衰竭 (HF) 患者的常见并发症. 一种使用肺炎,年龄,D-二次体和白蛋白的新型诺莫格拉姆模型可以预测住院HF患者的AKI风险.
科学领域:
- 心脏病学 心脏病学
- 腎臟病學 (nephrology) 是一種醫學.
- 临床预测模型临床预测模型
背景情况:
- 急性损伤 (AKI) 经常使急性心力衰竭 (HF) 复杂化,导致更长的住院时间和更差的结果.
- 鉴定HF患者AKI的风险因素对于及时干预至关重要.
研究的目的:
- 在住院HF患者中确定AKI的独立风险因素.
- 在这个人群中开发和验证AKI的诺米克风险预测模型.
主要方法:
- 分析了967名住院HF患者的队列.
- 最小绝对收缩和选择运算符 (LASSO) 回归和多变量后勤回归被用来确定预测因素.
- 使用训练和测试套件构建和验证了一个名图.
主要成果:
- 在该队列中,AKI的发病率为19%.
- 独立预测AKI的因素包括年龄,肺炎,D-二次体和白蛋白.
- 诺米图表显示了中度的可分辨性,AUC为0.760 (训练) 和0.744 (测试).
结论:
- 纳米图包括肺炎,年龄,D-二次体和白蛋白,可以预测HF患者的AKI风险.
- 该模型显示中等的预测准确性,可以帮助临床决策.
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