Isaac Barney, Alexander Chithra, John Roselin, Barney Anitha, Thangakunam Balamugesh, Christopher Devasahayam J
Department of Pulmonary Medicine, Christian Medical College Vellore, Ranipet campus, Ranipet, Tamil Nadu, 632517, India.
Department of Clinical Genetics, Christian Medical College, Vellore, India.
Sci Rep. 2025 Jul 2;15(1):23474. doi: 10.1038/s41598-025-08953-9.
Obesity hypoventilation syndrome (OHS) is a comorbidity in patients with Obstructive sleep apnea (OSA). It has a significant impact on the treatment and outcomes. There is paucity of data on the prevalence of OHS and its associated factors. Our objective was to estimate this for our Indian cohort. This is a retrospective study on consecutive patients who underwent a sleep study for suspicion of OSA from January 2022 to December 2022. Details of these patients were extracted from the electronic medical records, and the sleep studies were analysed. The prevalence of OHS was calculated. Multiple logistic regression analysis was performed to ascertain the independent OHS predictors. In an Indian patient population comprising predominantly southern and eastern Indian residents, 674 who met the specified criteria were included. Their mean age was 51.7 (SD 12.5), 426 (63.2%) were males, and 51.3% were obese. The prevalence of OHS was 5.8%. Only two patients without OSA had OHS. For the BMI ranges 30-40, 40-50, and > 50 kg/m, the prevalence of OHS was 9%, 13%, and 20%, respectively. Multivariate logistic regression analysis found that female gender (OR = 4.1), BMI ≥ 35 kg/m (OR = 3.2), and orthopnoea (OR = 4.8) were independently associated with OHS. Hypothyroidism (OR = 2.2) showed a significant association only in the univariate analysis. In a cohort of Indian patients referred for a sleep study, the prevalence of OHS is low. Increased BMI, female gender and a history of orthopnea were independent predictors of OHS.
肥胖低通气综合征(OHS)是阻塞性睡眠呼吸暂停(OSA)患者的一种合并症。它对治疗和预后有重大影响。关于OHS的患病率及其相关因素的数据较少。我们的目的是对我们的印度队列进行估计。这是一项对2022年1月至2022年12月因疑似OSA而接受睡眠研究的连续患者进行的回顾性研究。从电子病历中提取这些患者的详细信息,并对睡眠研究进行分析。计算OHS的患病率。进行多因素逻辑回归分析以确定OHS的独立预测因素。在主要由印度南部和东部居民组成的印度患者群体中,纳入了674名符合特定标准的患者。他们的平均年龄为51.7岁(标准差12.5),426名(63.2%)为男性,51.3%为肥胖者。OHS的患病率为5.8%。只有两名无OSA的患者患有OHS。对于体重指数(BMI)范围为30 - 40、40 - 50和>50 kg/m²的情况,OHS的患病率分别为9%、13%和20%。多因素逻辑回归分析发现,女性(比值比[OR]=4.1)、BMI≥35 kg/m²(OR = 3.2)和端坐呼吸(OR = 4.8)与OHS独立相关。甲状腺功能减退(OR = 2.2)仅在单因素分析中显示出显著关联。在一组因睡眠研究而转诊的印度患者中,OHS的患病率较低。BMI增加、女性性别和端坐呼吸史是OHS的独立预测因素。