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在高血压患者中开发和验证高尿血风险预测模型
Li-Xiang Zhang1, Jiao-Yu Cao1, Xiao-Juan Zhou1
1Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China Hefei 230001, Anhui, China.
American journal of cardiovascular disease
|March 18, 2024
概括
一种新的名谱模型准确地预测高血压患者的高尿血 (HUA). 该工具识别了关键的风险因素,如年龄和BMI,有助于对心血管健康的临床决定.
科学领域:
- 心脏病学 心脏病学
- 腎臟病學 (nephrology) 是一種醫學.
- 预防医学 预防医学
背景情况:
- 高血压是心血管疾病的重要危险因素.
- 超尿血症 (HUA) 越来越多地被认为是高血压患者的并发症.
- 在这个人群中,对HUA的预测工具对于早期干预至关重要.
研究的目的:
- 在患有基本高血压的患者中开发高尿血 (HUA) 的预测模型.
- 评估开发的预测模型的准确性和可靠性.
主要方法:
- 对228名高血压患者进行了回顾性队列研究.
- 患者分为培训 (168) 和验证 (60) 组.
- 后勤回归确定了风险因素;构建和验证了一个名ogram模型.
主要成果:
- HUA的流行率为29.39%.
- 独立的危险因素包括年龄,BMI和冠心病;高密度脂蛋白胆固醇具有保护作用.
- 命名图表显示出强烈的区别 (AUC 0.873和0.841) 和良好的校准.
结论:
- 开发的诺莫格拉姆模型准确地预测高血压患者的HUA风险.
- 该模型显示出优异的区分和校准,证明了其临床实用性.
- 这个工具可以帮助医疗保健专业人员管理高血压患者的HUA.
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