Department of General Practice, The Yixing Hospital affiliated to Jiangsu University, Yixing, 214200, China.
Department of Respiratory and Critical Care Medicine, Yixing Hospital affiliated to Jiangsu University, Yixing, 214200, China.
Sci Rep. 2024 Mar 13;14(1):6127. doi: 10.1038/s41598-024-56629-7.
Patients with obstructive sleep apnea (OSA) are liable to have resistant hypertension (RH) associated with unfavorable cardiovascular events. It is of necessity to predict OSA patients who are susceptible to resistant hypertension. Hence, we conducted a retrospective study based on the clinical records of OSA patients admitted to Yixing Hospital Affiliated to Jiangsu University from January 2018 to December 2022. According to different time periods, patients diagnosed between January 2018 and December 2021 were included in the training set (n = 539) for modeling, and those diagnosed between January 2022 and December 2022 were enrolled into the validation set (n = 259) for further assessment. The incidence of RH in the training set and external validation set was comparable (P = 0.396). The related clinical data of patients enrolled were collected and analyzed through univariate analysis and least absolute shrinkage and selection operator (LASSO) logistic regression analysis to identify independent risk factors and construct a nomogram. Finally, five variables were confirmed as independent risk factors for OSA patients with RH, including smoking, heart disease, neck circumference, AHI and T90. The nomogram established on the basis of variables above was shown to have good discrimination and calibration in both the training set and validation set. Decision curve analysis indicated that the nomogram was useful for a majority of OSA patients. Therefore, our nomogram might be useful to identify OSA patients at high risk of developing RH and facilitate the individualized management of OSA patients in clinical practice.
患有阻塞性睡眠呼吸暂停(OSA)的患者容易发生与不良心血管事件相关的难治性高血压(RH)。有必要预测易患难治性高血压的 OSA 患者。因此,我们基于 2018 年 1 月至 2022 年 12 月期间在江苏大学宜兴医院就诊的 OSA 患者的临床记录进行了一项回顾性研究。根据不同时期,将 2018 年 1 月至 2021 年 12 月期间诊断的患者纳入训练集(n=539)进行建模,而将 2022 年 1 月至 2022 年 12 月期间诊断的患者纳入验证集(n=259)进行进一步评估。训练集和外部验证集中 RH 的发生率相当(P=0.396)。通过单因素分析和最小绝对收缩和选择算子(LASSO)逻辑回归分析收集和分析纳入患者的相关临床数据,以确定独立危险因素并构建列线图。最后,确定了五个变量是 OSA 合并 RH 患者的独立危险因素,包括吸烟、心脏病、颈围、AHI 和 T90。基于上述变量建立的列线图在训练集和验证集中均表现出良好的区分度和校准度。决策曲线分析表明,该列线图对大多数 OSA 患者有用。因此,我们的列线图可能有助于识别发生 RH 风险较高的 OSA 患者,并有助于在临床实践中对 OSA 患者进行个体化管理。