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目的:探讨多导睡眠监测(PSG)呼吸事件经自动分析与手动分析对诊断阻塞性睡眠呼吸暂停低通气综合征(OSAHS)的差异性。方法:随机选择60例打鼾伴睡眠憋气者进行整晚(7h)的多导睡眠监测得出PSG,对PSG呼吸事件先用软件自动分析,再按公认分型标准行手动分析,对参数进行统计分析。结果:PSG呼吸事件经手动分析得出的AHI、呼吸暂停指数(AI)、低通气指数(HI)、最长呼吸暂停时间(LAT)与自动分析的结果比较,差异有统计学意义(P<0.01或P<0.05),手动分析结果与患者临床症状更相符合。结论:PSG呼吸事件自动分析的结果对病情程度的诊断有一定偏差,为了提高多导睡眠监测仪临床诊断的准确性,提倡常规对PSG行手动分析。
Objective: To investigate the difference of diagnosing obstructive sleep apnea-hypopnea syndrome (OSAHS) by automatic analysis and manual analysis of polysomnography (PSG) respiratory events. Methods: Sixty patients with snoring accompanied with sleep apnea were randomly selected for polysomnography monitoring (PSG) for the whole night (7h). The PSG respiration events were automatically analyzed by software and then manually analyzed according to accepted typing criteria. The parameters were statistically analyzed analysis. Results: The AHI, apnea index (AI), hypoventilation index (HI) and longest apnea time (LAT) of PSG respiration were significantly different from the results of automatic analysis (P < 0.01 or P <0.05). The results of manual analysis were more consistent with the clinical symptoms of patients. CONCLUSIONS: The results of automatic analysis of PSG respiratory events have certain deviations from the diagnosis of PSG. In order to improve the accuracy of clinical diagnosis of polysomnography, conventional manual analysis of PSG is advocated.