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Chapter 81 Automatic Screening of Sleep Apnea-Hypopnea Syndrome by ECG Derived Respiration

机译:第81章心电图派生呼吸自动筛查睡眠呼吸暂停低通气综合征

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Objective To evaluate the feasibility of Automatic screening Sleep Apnea-Hypopnea Syndrome (SAHS) by Electrocardiogram-Derived Respiration (EDR) of Ambulatory Electrocardiogram (AECG) monitoring. Methods The overnight sleep investigation was administered to 80 subjects by Polysomnogram (PSG) and 24 h AECGng simultaneously. The electrocardiogram analyzers did not know the PSG results at all. They were both asked to give the Apnea Hypopnea Index (AHI) by EDR and PSG respectively. The PSG result was considered as the gold standard so as to evaluate the feasibility of screening SAHS from EDR of AECG monitoring. Results The average age, percentage of male gender, body mass index, history of hypertension were higher in the SAHS(+) patients than those of the S AHS(-) patients. Automatic analysis was performed with software in a sensibility of 75, 87.5 and 100 % respectively. When software sensibility was fixed at 75 %, the sensitivity of screening SAHS with EDR was 26.7 %, with the specificity of 80 %, the positive predictive value of 80 %, the negative predictive value of 26.7 % and the diagnose accordance rate of 40 %. When software sensibility was fixed to 87.5 %, the sensitivity of screening SAHS with EDR was 55 %,with the specificity of 45 %, the positive predictive value of 75 %, the negative predictive value of 25 %, and the diagnose accordance rate of 52.5 %. When software sensibility was fixed to 100 %, the sensitivity of screening SAHS with EDR was 88.3 %, with the specificity of 35 %, the positive predictive value of 84.1 %, the negative predictive value of 50 %, and the diagnose accordance rate of 75 %. Conclusions EDR technique of AECG was useful to screen the suspicious SAHS patients, sensitivity and the diagnosis coincidence rate was high when the sensibility of automatic analysis software was adjusted to 100 %.
机译:目的通过动态心电图(AECG)监测心电图派生呼吸(EDR)评估自动筛查睡眠呼吸暂停低通气综合征(SAHS)的可行性。方法采用多导睡眠图(PSG)和24 h AECGng对80名受试者进行夜间睡眠研究。心电图分析仪根本不知道PSG结果。分别由EDR和PSG要求他们给出呼吸暂停低通气指数(AHI)。 PSG结果被视为黄金标准,以评估从AECG监测的EDR中筛选SAHS的可行性。结果SAHS(+)患者的平均年龄,男性百分比,体重指数,高血压病史均高于S AHS(-)患者。使用软件分别以75%,87.5和100%的灵敏度进行自动分析。当软件敏感性固定为75%时,用EDR筛查SAHS的敏感性为26.7%,特异性为80%,阳性预测值为80%,阴性预测值为26.7%,诊断符合率为40% 。当软件灵敏度固定为87.5%时,用EDR筛查SAHS的敏感性为55%,特异性为45%,阳性预测值为75%,阴性预测值为25%,诊断符合率为52.5 %。当软件敏感性固定为100%时,用EDR筛查SAHS的敏感性为88.3%,特异性为35%,阳性预测值为84.1%,阴性预测值为50%,诊断符合率为75 %。结论AECG的EDR技术可对疑似SAHS患者进行筛查,当自动分析软件的灵敏度调整为100%时具有较高的敏感性和诊断符合率。

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