Blood pressure variability (BPV) represents a cardiovascular risk factor, regardless of mean level of blood pressure (BP). In this post-hoc analysis from the PERson-centredness in Hypertension management using Information Technology (PERHIT) study, we aimed to explore BPV in daily home measurements in hypertensive patients from primary care, to identify factors associated with high BPV and to investigate whether estimated glomerular filtration rate (eGFR) and pulse pressure, as markers of target organ damage (TOD), are associated with BPV. For eight consecutive weeks, 454 participants reported their daily BP and heart rate in their mobile phone, along with reports of lifestyle and hypertension-related factors. Systolic BP (SBP) values were used to calculate BPV with coefficient of variation (CV) as primary estimate. Background characteristics and self-reports were tested between fifths of CV in a linear regression model, adjusted for age and sex. Associations between BPV and eGFR and pulse pressure were tested with linear and logistic regression models. Higher home BPV was associated with higher age, BP, heart rate, and smoking. BPV was lower for participants with low alcohol consumption and treatment with calcium channel blockers. There was a significant association between BPV and pulse pressure (P = 0.015), and between BPV and eGFR (P = 0.049). Participants with high BPV reported more dizziness and palpitations. In conclusion, pulse pressure and eGFR were significantly associated with home BPV. Older age, high BP, heart rate, and smoking were associated with high BPV, but treatment with calcium channel blockers and low alcohol consumption was associated with low BPV. Trial registration: The study was registered with ClinicalTrials.gov [NCT03554382].

无论血压 (BP) 的平均水平如何，血压变异性 (BPV) 都是心血管危险因素。在这项以 PERson 为中心的信息技术高血压管理 (PERHIT) 研究的事后分析中，我们旨在探索初级保健高血压患者日常家庭测量中的 BPV，以确定与高 BPV 相关的因素，并调查是否估计肾小球滤过率 (eGFR) 和脉压作为靶器官损伤 (TOD) 的标志，与 BPV 相关。连续八周，454 名参与者在手机中报告了他们的每日血压和心率，以及生活方式和高血压相关因素的报告。收缩压 (SBP) 值用于计算 BPV，并以变异系数 (CV) 作为主要估计值。在线性回归模型中测试五分之一的 CV 之间的背景特征和自我报告，并根据年龄和性别进行调整。使用线性和逻辑回归模型测试 BPV 和 eGFR 与脉压之间的关联。较高的家庭 BPV 与较高的年龄、血压、心率和吸烟相关。饮酒量低且接受钙通道阻滞剂治疗的参与者的 BPV 较低。BPV 和脉压之间存在显着相关性（P  = 0.015），BPV 和 eGFR 之间存在显着相关性（P  = 0.049）。BPV 高的参与者报告有更多的头晕和心悸症状。总之，脉压和 eGFR 与家庭 BPV 显着相关。年龄较大、高血压、心率和吸烟与高 BPV 相关，但钙通道阻滞剂治疗和低饮酒量与低 BPV 相关。试验注册：该研究已在 ClinicalTrials.gov 注册 [NCT03554382]。