光电容积脉搏波描记法对重症患者合并阻塞性睡眠呼吸暂停综合征的诊断价值

Diagnostic value of photoplethysmography for obstructive sleep apnea syndrome in critically ill patients

  • 摘要:
    目的 探讨光电容积脉搏波描记法(PPG)对伴有打鼾的呼吸系统疾病或心脑血管疾病重症患者合并阻塞性睡眠呼吸暂停综合征(OSAS)的诊断价值。
    方法 纳入2019年1月—2023年10月苏北人民医院内科病房收治的伴有打鼾的呼吸系统疾病或心脑血管疾病重症患者91例, 经知情同意后行整夜多导睡眠监测(PSG)和PPG,通过计算灵敏度、特异度、阳性预测值、阴性预测值及受试者工作特征(ROC)曲线的曲线下面积评价2种方法获得睡眠呼吸暂停参数结果的一致性情况。
    结果 PPG所得呼吸暂停低通气指数(AHI)、总睡眠时间、最低血氧饱和度及血氧饱和度低于90%的时间与PSG比较,差异无统计学意义(P>0.05)。当AHI≥5次/h、AHI≥15次/h, 本组患者诊断灵敏度分别为94.37%、93.10%, 特异度分别为73.68%、90.91%, 阳性预测值分别为91.78%、94.74%, 阴性预测值分别为77.78%、88.23%, ROC曲线的曲线下面积分别为0.961、0.982; 呼吸系统疾病重症患者诊断灵敏度分别为89.29%、87.10%, 特异度分别为84.62%、80.00%, 阳性预测值分别为92.59%、93.10%, 阴性预测值分别为78.57%、72.72%, ROC曲线的曲线下面积分别为0.978、0.987; 心脑血管疾病重症患者诊断灵敏度分别为87.18%、90.32%, 特异度分别为83.33%、89.47%, 阳性预测值分别为91.89%、99.63%, 阴性预测值分别为78.57%、85.56%, ROC曲线的曲线下面积分别为0.942、0.986。
    结论 针对合并OSAS的呼吸系统疾病和心脑血管疾病重症患者, PPG监测结果与PSG具有较高一致性。

     

    Abstract:
    Objective To investigate the diagnostic value of photoplethysmography (PPG) in the detection of obstructive sleep apnea syndrome (OSAS) among critically ill patients with respiratory or cardiocerebrovascular diseases accompanied by snoring.
    Methods A total of 91 critically ill patients with respiratory or cardiocerebrovascular diseases accompanied by snoring, admitted to the internal medicine ward of Subei People's Hospital from January 2019 to October 2023 were enrolled. After informed consent, overnight polysomnography (PSG) and PPG were performed. The consistency of the sleep apnea parameters obtained of the two methods by sensitivity, specificity, positive predictive value, negative predictive value, and the area under the receiver operating characteristic (ROC) curve.
    Results There were no statistically significant differences in apnea-hypopnea index (AHI), total sleep time, lowest oxygen saturation, and time with oxygen saturation below 90% between PPG and PSG (P>0.05). When AHI≥ 5 times/h and AHI≥15 times/h, the diagnostic sensitivity of the patients in this group was 94.37% and 93.10%, respectively, with specificities of 73.68% and 90.91%, positive predictive values of 91.78% and 94.74%, and negative predictive values of 77.78% and 88.23%, and areas under the ROC curves were 0.961 and 0.982, respectively. For critically ill patients with respiratory diseases, the diagnostic sensitivity was 89.29% and 87.10%, respectively, with specificities of 84.62% and 80.00%, positive predictive values of 92.59% and 93.10%, and negative predictive values of 78.57% and 72.72%, and the areas under the ROC curves were 0.978 and 0.987, respectively. For critically ill patients with cardiocerebrovascular diseases, the diagnostic sensitivity was 87.18% and 90.32%, respectively, with specificities of 83.33% and 89.47%, positive predictive values of 91.89% and 99.63%, and negative predictive values of 78.57% and 85.56%, and the areas under the ROC curves were 0.942 and 0.986, respectively.
    Conclusion PPG monitoring results show high consistency with PSG in critically ill patients with respiratory and cardiocerebrovascular diseases combined with OSAS.

     

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