| 叶连萌.OSAHS患者胃食管反流病风险预测模型构建与评估[J].浙江中西医结合杂志,2025,35(6): |
| OSAHS患者胃食管反流病风险预测模型构建与评估 |
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| 投稿时间：2024-11-11 修订日期：2025-03-18 |
| DOI： |
| 中文关键词: 阻塞性睡眠呼吸暂停低通气综合征 胃食管反流病 风险预测模型 效能评估 |
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| 中文摘要: |
| 目的：构建阻塞性睡眠呼吸暂停低通气综合征（OSAHS）患者胃食管反流病（GERD）风险预测Logistic回归模型，并评估模型效能。方法：选取2021年6月-2023年6月于我院就诊的首发OSAHS患者160例，根据是否合并GERD将患者分为OSAHS合并GERD组79例和OSAHS组81例，组间比较患者人口学特征、生活方式、疾病与健康状态以及多导睡眠监测数据；进一步以Logistic回归分析建立OSAHS合并GERD风险预测模型，并以ROC曲线分析评估模型预测效能。结果：Logistic回归分析显示，影响OSAHS患者发生GERD的因素包括年龄、不良饮食习惯、体质指数（BMI）、HADS焦虑分量表评分、呼吸暂停低通气指数（AHI）和血氧饱和度<90%事件占总睡眠时间百分比（TS90%），将上述因素以X1-X6顺序赋值，得到回归方程Y=0.046X1+1.200X2+0.187X3+0.129X4+0.258X5+ 0.192X6-9.307。进一步ROC曲线分析结果显示，模型评分的AUC为0.695，预测临界值为＞4.108，对应的约登指数、灵敏度、特异度分别为0.312、64.56%和66.67% 。结论：OSAHS合并GERD风险预测模型效能良好，可作为辅助的风险预测工具应用于临床。 |
| 英文摘要: |
| 【】Objective :To construct a Logistic regression model for predicting the risk of gastroesophageal reflux disease ( GERD ) in patients with obstructive sleep apnea hypopnea syndrome ( OSAHS ), and to evaluate the efficacy of the model.Methods :AA total of 160 patients with first-episode OSAHS who were admitted to our hospital from June 2021 to June 2023 were selected. According to whether they were combined with GERD, the patients were divided into OSAHS combined with GERD group ( 79 cases ) and OSAHS group ( 81 cases ). The demographic characteristics, lifestyle, disease and health status, and polysomnography data were compared between the two groups. Logistic regression analysis was used to establish the risk prediction model of OSAHS combined with GERD, and ROC curve analysis was used to evaluate the prediction efficiency of the model.Results:Logistic regression analysis showed that the factors affecting GERD in OSAHS patients included age, poor eating habits, body mass index ( BMI ), HADS anxiety subscale score, apnea hypopnea index ( AHI ) and blood oxygen saturation < 90 % events as a percentage of total sleep time ( TS90 % ). The above factors were assigned in the order of X1-X6 to obtain the regression equation.Y=0.046X1+1.200X2+0.187X3+0.129X4+0.258X5+ 0.192X6-9.307。Further ROC curve analysis showed that the AUC of the model score was 0.695, the predictive critical value was > 4.108, and the corresponding Youden index, sensitivity and specificity were 0.312, 64.56 % and 66.67 %, respectively.Conclusion:The risk prediction model of OSAHS combined with GERD has good performance and can be used as an auxiliary risk prediction tool in clinical practice. |
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