多导睡眠图监测仪评价急性脑梗死患者OSAHS发生率及影响因素的Logistic回归方程分析

Logistic Regression Equation Analysis of the Incidence of OSAHS and Influencing Factors in Patients with Acute Cerebral Infarction Evaluated by Polysomnography Monitor

目的:探讨多导睡眠图监测仪评价急性脑梗死(ACI)患者阻塞性睡眠呼吸暂停低通气综合征(OSAHS)发生率,Logistic回归方程进一步分析其影响因素。方法:选取2019年5月至2021年9月我院收治的ACI患者192例作为研究对象,均接受多导睡眠图监测仪检查,统计OSAHS发生率,并采用Logistic回归方程分析OSAHS发生影响因素。结果:192例ACI患者经多导睡眠图检测仪检查后,平均AHI为(22.19±18.29)次/h,平均最低血氧饱和度为(80.78±9.67)%,最长低通气时间为(83.3±29.31)s,最长呼吸暂停时间(33.14±26.49)s,OSAHS总发生率为77.08%(148/192);Logistic回归方程分析,BMI>24kg/m2、糖尿病史、最长呼吸暂停时间>40s、仰卧位、是OSAHS发生的危险因素(P<0.05);多导睡眠图监测仪各参数联合预测OSAHS发生效能AUC为0.889(95CI:0.843~0.926),预测敏感度及特异度分别为71.18%、91.43%。结论:受多种因素影响,ACI患者存在OSAHS风险,而多导睡眠图监测对其具有良好的预测价值,临床工作中对于合并上述因素的高危人群,应加强防范,进一步降低OSAHS发生率。

Objective:To investigate the polysomnography monitor to evaluate the incidence of obstructive sleep apnea hypopnea syndrome(OSAHS)in patients with acute cerebral infarction(ACI),and to further analyze its influencing factors by Logistic regression equation.Methods:A total of 192 ACI patients admitted to our hospital from May 2019 to September 2021 were selected as the research objects,and all of them were examined by a polysomnography monitor.The incidence of OSAHS was counted,and the logistic regression equation was used to analyze the influencing factors of OSAHS.Results:After 192 ACI patients were examined by a polysomnography device,the average AHI was(22.19±18.29)times/h,and the average minimum blood oxygen saturation was(80.78±9.67)%.The longest hypopnea time was(83.3±29.31)s,the longest apnea time was(49.96±5.13)s,and the total incidence of OSAHS was 77.08%(148/192).Logistic regression analysis showed that BMI>24 kg/m2,history of diabetes,longest apnea time>40 s,supine position,were risk factors for the occurrence of OSAHS(P<0.05).The AUC of the OSAHS efficacy predicted by the various parameters of the polysomnography monitor was 0.889(95CI:0.843~0.926),and the prediction sensitivity and specificity were 71.18%and 91.43%,respectively.Conclusion:Affected by many factors,patients with ACI are at risk of OSAHS,and polysomnography monitoring has good predictive value.In clinical work,prevention should be strengthened for high-risk groups with the above factors to further reduce the incidence of OSAHS.