Hu Xiaoyong, Arthur Vithran Djandan Tadum, Yang Zhaoying, Zou Ting, Tang Rui, Li Hongjian
Department of Hypertension, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Department of Orthopaedics, Xiangya Hospital of Central South University, Changsha, China.
J Int Med Res. 2025 Jan;53(1):3000605241310159. doi: 10.1177/03000605241310159.
In patients with primary hypertension (PH), left ventricular hypertrophy (LVH) is a critical predictor of cardiovascular events. We aimed to identify clinical and laboratory predictors of LVH in patients with PH.
This retrospective cohort study included 2321 patients with PH at the Fifth Affiliated Hospital of Xinjiang Medical University from December 2022 to January 2024. Patients were classified into LVH and non-LVH groups; LVH was defined as left ventricular mass index (LVMI) >115 g/m for men and >95 g/m for women. Univariate and multivariate logistic analysis were used to identify risk factors for LVH.
Univariate analysis revealed significant differences between the LVH and non-LVH groups in age, sex, smoking, systolic blood pressure (SBP), neutrophil-to-lymphocyte ratio (NLR), body mass index, serum creatinine (SCr), lymphocyte count, and hypertension duration. Multivariate analysis identified age, sex, SBP, SCr, and NLR as independent risk factors for LVH. A combined receiver operating characteristic (ROC) model had an area under the ROC curve of 0.711 (95% CI: 0.68-0.74), with 75.3% sensitivity and 59.2% specificity.
Age, sex, SBP, SCr, and NLR were independent predictors for LVH in patients with PH. Our combined diagnostic model provides valuable insight for early LVH screening, aiding timely clinical intervention.
在原发性高血压(PH)患者中,左心室肥厚(LVH)是心血管事件的关键预测指标。我们旨在确定PH患者LVH的临床和实验室预测因素。
这项回顾性队列研究纳入了2022年12月至2024年1月在新疆医科大学第五附属医院就诊的2321例PH患者。患者被分为LVH组和非LVH组;LVH定义为男性左心室质量指数(LVMI)>115g/m²,女性>95g/m²。采用单因素和多因素逻辑分析来确定LVH的危险因素。
单因素分析显示,LVH组和非LVH组在年龄、性别、吸烟、收缩压(SBP)、中性粒细胞与淋巴细胞比值(NLR)、体重指数、血清肌酐(SCr)、淋巴细胞计数和高血压病程方面存在显著差异。多因素分析确定年龄、性别、SBP、SCr和NLR为LVH的独立危险因素。联合受试者工作特征(ROC)模型的ROC曲线下面积为0.711(95%CI:0.68 - 0.74),敏感性为75.3%,特异性为59.2%。
年龄、性别、SBP、SCr和NLR是PH患者LVH的独立预测因素。我们的联合诊断模型为早期LVH筛查提供了有价值的见解,有助于及时进行临床干预。