Roche Frédéric, Sforza Emilia, Duverney David, Borderies Jean-René, Pichot Vincent, Bigaignon Odile, Ascher Gilles, Barthélémy Jean-Claude
Service d'Exploration Fonctionnelle CardioRespiratoire, Laboratoire de Physiologie-PPEH, Groupe de Recherche SYNAPSE, CHU Nord, Faculté de Médecine Jacques Lisfranc, Université Jean Monnet, Saint-Etienne, France.
Clin Sci (Lond). 2004 Jul;107(1):105-10. doi: 10.1042/CS20040036.
The prevalence of OSAHS (obstructive sleep apnoea/hypopnoea syndrome) is high in developed countries and it is estimated that the vast majority of patients remain undiagnosed. On the basis of physiological evidence, we evaluated the frequency component of HRI (heart rate increment) as a simple and inexpensive screening tool for OSAHS detection in a first group of patients (group 1) and validated their discriminant capacity in a second group (group 2). The predictive accuracy of hourly %VLFI (frequency-domain HRI variable obtained from nocturnal ECG Holter monitoring) was analysed by comparison with an hour-by-hour respiratory disturbances index assessed by complete polysomnography in 28 consecutive clinically suspected OSAHS patients for group 1 and in 35 patients for group 2. OSAHS was present in 20 patients according to a mean hourly apnoea plus hypopnoea index >10 in group 1, and prevalence reached 77.1% in group 2. Sensitivity, specificity and positive and negative predictive accuracy were calculated and an ROC (receiver operating characteristic) curve was constructed for several polysomnographic threshold values. In group 1, hourly %VLFI appeared as an evident predictor of the apnoea/hypopnoea index (W=0.848, P<0.0001; where W is the area under the curve obtained using ROC curve analysis). Using an appropriate threshold (value > or =3.2%), %VLFI demonstrated a sensitivity of 78.1% and a specificity of 70.4%. These thresholds applied to group 2 yielded a sensitivity of 73.9% and a specificity of 76.6%. Frequency-domain analysis of the HRI appears to be a powerful tool for OSAHS prediction. The simplicity of its analysis and use makes of it a particularly well-suited variable for routine mass screening in high-risk populations undergoing ECG Holter monitoring.
阻塞性睡眠呼吸暂停低通气综合征(OSAHS)在发达国家的患病率很高,据估计绝大多数患者仍未被诊断出来。基于生理学证据,我们评估了心率增量(HRI)的频率成分,将其作为一种简单且经济的筛查工具,用于在第一组患者(第1组)中检测OSAHS,并在第二组患者(第2组)中验证其判别能力。通过与连续28例临床疑似OSAHS的第1组患者以及35例第2组患者的全夜多导睡眠图评估的逐小时呼吸紊乱指数进行比较,分析了每小时%VLFI(从夜间心电图动态监测获得的频域HRI变量)的预测准确性。根据第1组患者平均每小时呼吸暂停加低通气指数>10,有20例患者存在OSAHS,第2组的患病率达到77.1%。计算了敏感性、特异性以及阳性和阴性预测准确性,并针对几个多导睡眠图阈值构建了ROC(受试者工作特征)曲线。在第1组中,每小时%VLFI表现为呼吸暂停/低通气指数的明显预测指标(W = 0.848,P < 0.0001;其中W是使用ROC曲线分析获得的曲线下面积)。使用适当阈值(值≥3.2%)时,%VLFI的敏感性为78.1%,特异性为70.4%。将这些阈值应用于第2组时,敏感性为73.9%,特异性为76.6%。HRI的频域分析似乎是预测OSAHS的有力工具。其分析和使用的简单性使其成为在接受心电图动态监测的高危人群中进行常规大规模筛查的特别合适的变量。