阻塞性睡眠呼吸暂停患者勃起功能障碍相关因素分析

Analysis of Factors Related to Erectile Dysfunction in Patients with Obstructive Sleep Apnea

摘要: 目的：分析OSA患者发生ED的相关因素，并探讨其可能的机制。方法：选取2022年1月~2022年6月在新疆维吾尔自治区人民医院高血压科就诊的OSA受试者732例，依据国际勃起功能指数量表(IIEF-5)评估勃起功能，将254例ED患者作为病例组，478例非ED受试者作为对照组。分析比较两组患者一般资料、PSG指标、相关量表评分的差异，多因素Logistic回归分析ED的相关因素，Spearman相关用于分析IIEF-5评分和AHI与其他因素的相关性。结果：ED与非ED患者在年龄(P < 0.001)、腹围(P = 0.002)、腰围(P = 0.001)、AHI (P = 0.015)、平均血氧饱和度(P = 0.003)、嗜睡评分(P = 0.005)和抑郁评分(P < 0.001)等方面有明显差异。多因素Logistic回归分析显示，年龄[OR = 1.053, 95%CI (1.032~1.073), P < 0.001]、腰围[OR = 1.030, 95%CI (1.014~1.047), P < 0.001]、抑郁状态[OR = 1.059, 95%CI (1.040~1.078), P < 0.001]是ED的影响因素。Spearman相关分析显示，OSA患者的IIEF-5评分与AHI (r = −0.088, P < 0.018)呈负相关。结论：OSA与ED明显相关，年龄、腰围及抑郁状态是OSA患者ED的独立危险因素。

Abstract: Objective: To analyze the factors related to the occurrence of erectile dysfunction (ED) in patients with obstructive sleep apnea (OSA) and to explore the potential mechanisms involved. Methods: A total of 732 subjects with OSA, who visited the Hypertension Department of the People’s Hospital of Xinjiang Uygur Autonomous Region from January 2022 to June 2022, were selected. Erectile func-tion was assessed using the International Index of Erectile Function-5 (IIEF-5). Among them, 254 patients with ED were designated as the case group, while 478 non-ED subjects formed the control group. The study involved analyzing and comparing general information, polysomnography (PSG) indicators, and related scale scores between the two groups. Multifactorial logistic regression analy-sis was used to identify factors related to ED, and Spearman’s correlation was utilized to analyze the relationship between IIEF-5 scores, Apnea-Hypopnea Index (AHI), and other factors. Results: Signif-icant differences were observed between ED and non-ED patients in terms of age (P < 0.001), ab-dominal circumference (P = 0.002), waist circumference (P = 0.001), AHI (P = 0.015), mean blood oxygen saturation (P = 0.003), sleepiness score (P = 0.005), and depression score (P < 0.001). Mul-tifactorial logistic regression analysis revealed that age [OR = 1.053, 95%CI (1.032~1.073), P < 0.001], waist circumference [OR = 1.030, 95%CI (1.014~1.047), P < 0.001], and depression [OR = 1.059, 95%CI (1.040~1.078), P < 0.001] are influencing factors for ED. Spearman’s correlation analysis showed a negative correlation between the IIEF-5 score and AHI (r = −0.088, P < 0.018) in OSA patients. Conclusion: There is a significant correlation between OSA and ED. Age, waist circum-ference, and depression status are independent risk factors for ED in patients with OSA.