韩国动态血压监测登记研究中的隐匿性未控制高血压的临床特征及预测因素。
Clinical features and predictors of masked uncontrolled hypertension from the Korean Ambulatory Blood Pressure Monitoring Registry.
机构信息
Division of Cardiology, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
Division of Cardiology, Department of Internal Medicine, Chonnam National University Hospital, Gwangju, Korea.
出版信息
Korean J Intern Med. 2021 Sep;36(5):1102-1114. doi: 10.3904/kjim.2020.650. Epub 2021 Jun 18.
BACKGROUND/AIMS: The clinical characteristics of patients with masked uncontrolled hypertension (MUCH) have been poorly defined, and few studies have investigated the clinical predictors of MUCH. We investigated the demographic, clinical, and blood pressure (BP) characteristics of patients with MUCH and proposed a prediction model for MUCH in patients with hypertension.
METHODS
We analyzed 1,986 subjects who were enrolled in the Korean Ambulatory Blood Pressure Monitoring (Kor-ABP) Registry and taking antihypertensive drugs, and classified them into the controlled hypertension (n = 465) and MUCH (n = 389) groups. MUCH was defined as the presence of a 24-hour ambulatory mean systolic BP ≥ 130 mmHg and/or diastolic BP ≥ 80 mmHg in patients treated with antihypertensive drugs, having normal office BP.
RESULTS
Patients in the MUCH group had significantly worse metabolic profiles and higher office BP, and took significantly fewer antihypertensive drugs compared to those in the controlled hypertension group. Multivariate logistic regression analyses identified high office systolic BP and diastolic BP, prior stroke, dyslipidemia, left ventricular hypertrophy (LVH, ≥ 116 g/m2 for men, and ≥ 96 g/m2 for women), high heart rate (≥ 75 beats/min), and single antihypertensive drug use as independent predictors of MUCH. A prediction model using these predictors showed a high diagnostic accuracy (C-index of 0.839) and goodness-of-fit for the presence of MUCH.
CONCLUSION
MUCH is associated with a high-normal increase in office BP and underuse of antihypertensive drugs, as well as dyslipidemia, prior stroke, and LVH, which could underscore achieving optimal BP control. The proposed model accurately predicts MUCH in patients with controlled office BP.
背景/目的:患有隐匿性未控制高血压(MUCH)的患者的临床特征尚未明确界定,很少有研究探讨 MUCH 的临床预测因素。我们研究了 MUCH 患者的人口统计学、临床和血压(BP)特征,并提出了一个用于高血压患者 MUCH 的预测模型。
方法
我们分析了参加韩国动态血压监测(Kor-ABP)登记处并服用抗高血压药物的 1986 名患者,将其分为控制高血压(n = 465)和 MUCH(n = 389)组。MUCH 定义为服用抗高血压药物的患者 24 小时动态平均收缩压≥130mmHg 和/或舒张压≥80mmHg,而诊室血压正常。
结果
与控制高血压组相比, MUCH 组患者的代谢谱明显更差,诊室 BP 更高,服用的抗高血压药物明显更少。多变量逻辑回归分析确定了高诊室收缩压和舒张压、既往卒中、血脂异常、左心室肥厚(LVH,男性≥116g/m2,女性≥96g/m2)、高心率(≥75 次/分)和单一抗高血压药物的使用是 MUCH 的独立预测因素。使用这些预测因素的预测模型显示出很高的诊断准确性(C 指数为 0.839)和 MUCH 存在的拟合优度。
结论
MUCH 与诊室 BP 高正常值升高和抗高血压药物使用不足以及血脂异常、既往卒中和 LVH 相关,这可能强调了实现最佳 BP 控制的重要性。所提出的模型准确预测了诊室 BP 控制良好的患者的 MUCH。