Huamaní Charles, Rey de Castro Jorge, Mezones-Holguín Edward
Instituto Nacional de Salud, Lima, Peru,
Sleep Breath. 2014 Sep;18(3):467-73. doi: 10.1007/s11325-013-0907-3. Epub 2013 Nov 19.
To evaluate the intensity of nocturnal hypoxemia associated with sleepiness in Peruvian men with a diagnosis of obstructive sleep apnea (OSA).
We carried out a secondary data analysis based on a study which includes patients with OSA who were seen in a private hospital in Lima, Peru from 2006 to 2012. We included male adults who had polysomnographic recordings and who answered the Epworth sleepiness scale (ESE). The intensity of nocturnal hypoxemia (oxygen saturation ≤90%) was classified in four new categories: 0, <1, 1 to 10 and >10% total sleep time with nocturnal hypoxemia (NH). When the ESE score was higher than 10, we used the definitions presence or absence of sleepiness. We used Poisson regression models with robust variance to estimate crude and adjusted prevalence ratios (PR) for association between sleepiness and NH.
518 male patients with OSA were evaluated. Four hundred and fifty-two (87%) patients had NH and 262 (51%) had sleepiness. Of the 142 (27.4%) patients who had >10% total sleep time with NH, 98 (69.0%) showed sleepiness and had a greater probability of sleepiness prevalence, with a crude PR of 1.82 (95% CI 1.31-2.53). This association persisted in the multivariate models.
We found an association between NH and sleepiness. Only patients with the major intensity of NH (over 10% of the total sleep time) had a greater probability of sleepiness. This suggests that sleepiness probably occurs after a chronic process and after overwhelming compensatory mechanisms.
评估诊断为阻塞性睡眠呼吸暂停(OSA)的秘鲁男性夜间低氧血症与嗜睡的关联强度。
我们基于一项研究进行了二次数据分析,该研究纳入了2006年至2012年在秘鲁利马一家私立医院就诊的OSA患者。我们纳入了有多导睡眠图记录且回答了爱泼华嗜睡量表(ESE)的成年男性。夜间低氧血症(血氧饱和度≤90%)的强度分为四个新类别:0、<1、1至10以及夜间低氧血症(NH)占总睡眠时间>10%。当ESE评分高于10分时,我们采用嗜睡存在或不存在的定义。我们使用具有稳健方差的泊松回归模型来估计嗜睡与NH之间关联的粗患病率比(PR)和调整患病率比。
对518例男性OSA患者进行了评估。452例(87%)患者存在NH,262例(51%)患者有嗜睡症状。在142例(27.4%)NH占总睡眠时间>10%的患者中,98例(69.0%)表现出嗜睡,且嗜睡患病率更高,粗PR为1.82(95%CI:1.31 - 2.53)。这种关联在多变量模型中持续存在。
我们发现NH与嗜睡之间存在关联。只有NH强度较大(占总睡眠时间超过10%)的患者嗜睡的可能性更大。这表明嗜睡可能在慢性过程以及代偿机制不堪重负之后出现。