Objective: To analyze the clinical significance of hypoxia index (HI) in assessing the severity of hypoxemia in obstructive sleep apnoea hypopnea syndrome(OSAHS). Methods: A total of 127 patients with a complaint of snoring visiting our hospital were recruited from February 2014 to January 2016. All patients received polysomnography (PSG) test. The PSG results were analyzed by a technician and the SpO(2) data were analyzed by a pre-designed computer software. The patients were grouped according to apnea hypopnea index (AHI) and lowest oxygen saturation (LSpO(2)) respectively. Receiver operating characteristic (ROC) curve was used to evaluate the best HI diagnostic value. Results: The HI (median) of the simple snoring, mild, moderate and severe OSAHS groups (according to AHI) were 0.027(0.004, 0.554), 0.281(0.045, 0.353), 0.429(0.099, 1.677), 21.714(2.737, 95.473), respectively. There were statistically significant correlation between HI and AHI, LSpO(2), ≥3% oxygen desaturation index(ODI(3)), the correlation coefficient being 0.78, -0.92, 0.87(U value were 8.76, -10.34, 9.72, all P<0.01). Grouped according to LSpO(2), the HI was significantly different between groups (H value were 7.62-14.39, all P<0.05). Conclusion: If the HI diagnostic value was set reasonably, it might be used as an effective index for evaluating the severity of OSAHS.
目的： 分析低氧指数评估OSAHS严重程度的临床应用价值。 方法： 回顾性分析2014年2月至2016年1月以睡眠打鼾为主诉就诊于福建医科大学附属第二医院并接受多导睡眠监测(PSG)监测的患者127例，其中男109例，女18例，年龄 (42±13)岁，体重指数(27.2±4.5) kg/m(2)，AHI (35.8±25.3)次/min，LSpO(2) (74.3±13.2)%。根据AHI将患者分为单纯打鼾组(10例)、轻度组(19例)、中度组(31例)和重度组(67例)。对PSG结果进行人工分析，根据脉搏血氧饱和度(SpO(2))由人工设定的计算机程序生成低氧指数。根据最低脉搏血氧饱和度(LSpO(2))将患者分为无低氧组、轻度低氧组、中度低氧组和重度低氧组，分析各组低氧指数并采用ROC曲线分析确定最佳诊断界值。 结果： 根据AHI分组，单纯打鼾组、轻度组、中度组及重度组的低氧指数分别为0.027(0.004，0.554)、0.281(0.045，0.353)、0.429(0.099，1.677)、21.714(2.737，95.473)；相关性分析显示低氧指数与AHI、LSpO(2)、≥3%氧减指数(ODI(3))的相关系数分别为0.78、－0.92、0.87(U值分别为8.76、－10.34，9.72，均P<0.01)。根据LSpO(2)分组，各组之间低氧指数的差异均有统计学意义(H值为7.62～14.39，均P<0.05)。低氧指数为0.003、0.900、26.735可作为无低氧、轻度低氧、中度低氧及重度低氧的诊断界值。 结论： 通过合理地设定界值，低氧指数可作为OSAHS患者的病情严重程度的有效评估指标之一。.
Keywords: Anoxia; Diagnosis; Polysomnography; Sleep apnea syndromes.