基于NHANES 2007-2018的美国女性尿失禁的抑郁风险预测名录的开发和验证
Yu Liu1, Haibo Zhao1
1Changning Maternity and Infant Health Hospital, East China Normal University, Shanghai, China.
概括
这项研究开发了一种名谱,用于预测尿失禁 (UI) 的女性抑郁风险. 该工具有助于识别需要进一步心理健康评估和治疗的个人.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 精神病学是一个精神病学.
- 医疗信息学 医疗信息学
背景情况:
- 尿失禁 (UI) 是一种普遍影响成年女性的疾病.
- 抑郁症是UI女性中常见的并发症,影响生活质量.
- 需要准确的查工具来识别有风险的人,以便及时进行干预.
研究的目的:
- 开发和验证一种名谱,用于预测患有UI的成年女性抑郁症的可能性.
- 利用来自全国代表性调查的数据来进行可靠的模型开发.
- 为妇科医生提供临床工具,以协助抑郁症查.
主要方法:
- 利用了来自2007-2018年国家健康和营养检查调查 (NHANES) 的6308名UI妇女的数据.
- 用于变量选择的雇佣最小绝对缩小和选择运算符 (LASSO) 回归.
- 通过使用曲线下的接收器操作特征面积 (ROC-AUC),校准曲线和决策曲线分析 (DCA) 评估的诺姆图表性能.
主要成果:
- 建立了一个包含11个预测因素 (包括年龄,睡眠障碍和UI影响) 的名图.
- 诺米图表显示出良好的预测准确性,在训练组中AUC为0.811,在测试组中为0.810.
- 诺米图表被精心校准,并通过DCA被发现是临床有用的.
结论:
- 开发的名图有效地选了患有UI的女性,她们有患抑郁症的高风险.
- 这个工具可以帮助妇科医生识别和管理UI患者的抑郁症.
- 早期识别和治疗可以改善女性体验UI和抑郁症的结果.
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