Di Bello Francesco, Pezone Gabriele, Muzii Benedetta, Cilio Simone, Ruvolo Claudia Collà, Scandurra Cristiano, Mocini Edoardo, Creta Massimiliano, Morra Simone, Bochicchio Vincenzo, Salzano Giovanni, Vaira Luigi Angelo, Mangiapia Francesco, Motta Gaetano, Maldonato Nelson Mauro, Longo Nicola, Cantone Elena, Califano Gianluigi
Department of Neurosciences, Reproductive Sciences and Odontostomatology, Urology Unit, University of Naples "Federico II", Naples, Italy.
Department of Experimental Medicine, Sapienza University, Rome, Italy.
Neurourol Urodyn. 2024 Jan;43(1):144-152. doi: 10.1002/nau.25338. Epub 2023 Nov 27.
The aim of the current study is to measure the prevalence and the potential role of International Prostate Symptom Score (IPSS) score as a predictor of obstructive sleep apnea syndrome (OSAS) in male experienced lower urinary tract symptoms (LUTS).
A cross-sectional web-based Italian survey was administered via Google Forms between July 17 and October 31, 2022. The urinary functioning was measured through the IPSS questionnaire. Specifically, we considered symptoms occurring more than "about half the time" (score ≥ 3) as bothering symptoms. Multivariable logistic regression models (LRMs) adjusting for age, body mass index (BMI), International Index of Erectile Function-5, IPSS, and hypertension were fitted to predict OSAS in the cohort of men responding to the survey and experiencing LUTS.
Overall, 58 (24.4%) patients had a confirmed diagnosis of OSAS. The overall median IPSS was 5 (inter quartile range [IQR]: 3-8), respectively. According to IPSS items, 24 (10%), 44 (18.4%), 12 (5%), 12 (5%), 12 (5%), 11 (4.6%), 63 (26.4%) patients exhibit incomplete bladder emptying, urinary frequency, intermittency, urgency, weak stream, straining, nocturia with a score ≥ 3, respectively. After multivariable LRMs predicting the developing OSAS, age (odds ratio [OR]: 1.09, p < 0.001), BMI (OR:1.12, p < 0.001) and IPSS total score (OR:1.08, p = 0.02) were independent predicting factors.
This analysis revealed that the IPSS total score, age, and BMI are independent predictors of OSAS in males. In this context, the use of IPSS in daily practice could be helpful in assessing the LUTS presence and in supporting physicians to identify a hidden sleep apnea condition.
本研究旨在测量国际前列腺症状评分（IPSS）作为男性下尿路症状（LUTS）患者阻塞性睡眠呼吸暂停综合征（OSAS）预测指标的患病率及其潜在作用。
于2022年7月17日至10月31日通过谷歌表单进行了一项基于网络的意大利横断面调查。通过IPSS问卷测量泌尿功能。具体而言，我们将出现频率超过“约一半时间”（评分≥3）的症状视为困扰症状。对年龄、体重指数（BMI）、国际勃起功能指数-5、IPSS和高血压进行调整的多变量逻辑回归模型（LRM），用于预测参与调查且有LUTS的男性队列中的OSAS。
总体而言，58例（24.4%）患者确诊为OSAS。IPSS总分中位数分别为5（四分位间距[IQR]：3-8）。根据IPSS项目，分别有24例（10%）、44例（18.4%）、12例（5%）、12例（5%）、12例（5%）、11例（4.6%）、63例（26.4%）患者存在膀胱排空不完全、尿频、间歇性排尿、尿急、尿流无力、排尿费力、夜尿，且评分≥3。在多变量LRM预测OSAS发生后，年龄（比值比[OR]：1.09，p<0.001）、BMI（OR：1.12，p<0.001）和IPSS总分（OR：1.08，p=0.02）是独立预测因素。
该分析表明，IPSS总分、年龄和BMI是男性OSAS的独立预测因素。在此背景下，在日常实践中使用IPSS有助于评估LUTS的存在，并帮助医生识别潜在的睡眠呼吸暂停情况。
