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在中国患有抑郁症的患者中开发和验证消化道疾病风险预测模型
Xinming Chen1,2, Chenxiong Zhang3, Yunsheng He4
1First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Geriatrics & gerontology international
|February 12, 2026
概括
这项研究开发了一种预测模型,以识别患有抑郁症的个体有消化道疾病的高风险. 该模型有助于早期检测和针对胃肠道疾病的个性化预防战略.
科学领域:
- 医疗信息学 医疗信息学
- 胃肠病学 胃肠病学
- 精神病学是一个精神病学.
背景情况:
- 抑郁症与消化道疾病的风险增加有关.
- 早期识别高风险个体对于及时干预至关重要.
研究的目的:
- 在抑郁症患者中开发和验证消化道疾病的风险预测模型.
- 为了促进早期识别和指导个性化预防干预.
主要方法:
- 利用了中国健康与退休长度研究 (CHARLS) 的数据 (2011年,2015年).
- 使用极端梯度提升 (XGBoost),LASSO回归和物流回归用于因子识别.
- 使用ROC曲线,校准曲线,DCA和CIC构建和验证了一个名ogram模型.
主要成果:
- 包括4006名抑郁患者;31.4%患有胃肠道疾病.
- 主要预测因素:UA,HCT,睡眠质量,运动困难,高血压,胸痛,慢性肺,心脏,脏疾病,关节炎.
- 外部验证AUC:0.693,证明了良好的预测准确性和临床实用性.
结论:
- 开发的模型有效地预测了抑郁症患者的胃肠道疾病.
- 能够对高风险人群进行早期识别和有针对性的预防措施.
- 旨在减少这一群体中胃肠道疾病的发生率.
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