预测性心房动的Nomogram模型在COPD患者:风险因素和预后的全面分析和预后
Tao Huang1, Xingjie Huang2, Xueying Cui3
1Department of Critical Care Medicine, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region 541100, P.R. China.
年龄,尿酸 (UA) 和左心房直径 (LAD) 是慢性阻塞性肺病 (COPD) 患者心房动 (AF) 的关键预测因素. 这些因素,以及开发的诺莫格拉姆模型,有助于评估AF风险和患者预后.
科学领域:
- 心脏病学 心脏病学
- 肺部病理学 肺部病理学
- 医疗信息学 医疗信息学
背景情况:
- 心房动 (AF) 是慢性阻塞性肺病 (COPD) 患者常见的并发症.
- 确定COPD中AF的风险因素和预后指标对于临床管理至关重要.
研究的目的:
- 为了确定COPD患者中AF的独立风险因素.
- 确定患有AF的COPD患者长期死亡率的预后指标.
- 开发用于预测AF发生和COPD预后的预测性诺莫格拉姆模型.
主要方法:
- 对286名COPD患者 (2020年1月 - 2022年5月) 的回顾性研究.
- 使用后勤回归和考克斯回归分析来确定风险和预后因素.
- 用于预测和预后评估,构建了Nomogram模型.
- 卡普兰-梅尔生存分析方法.
主要成果:
- 年龄,尿酸 (UA) 和左心脏直径 (LAD) 被确定为COPD患者的AF的独立风险因素.
- LAD和UA是AF患者长期死亡的独立预后因素.
- 开发的诺米图模型显示出良好的预测能力 (AUC=0.886) 和准确性 (C指数=0.886).
结论:
- 年龄,UA和LAD是COPD中AF发展的重要预测因素.
- 开发的诺莫格拉姆模型提供了一个可靠的工具,用于临床风险评估和预后评估COPD患者的AF.
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