在真实世界环境中量化血压就诊变异性:回顾性队列研究

IF 6.9 2区 医学
Yuan Lu, George C Linderman, Shiwani Mahajan, Yuntian Liu, Chenxi Huang, Rohan Khera, Bobak J Mortazavi, Erica S Spatz, Harlan M Krumholz
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引用次数: 0

摘要

背景:临床研究报告了血压值的就诊变异性(VVV)。然而,人们对临床实践中的 VVV 及其是否与真实世界中的患者特征相关却知之甚少:我们进行了一项回顾性队列研究,以量化真实世界环境中收缩压 (SBP) 值的 VVV。我们纳入了耶鲁大学纽黑文卫生系统在 2014 年 1 月 1 日至 2018 年 10 月 31 日期间至少有 2 次门诊就诊的成年人(年龄≥18 岁)。患者水平的 VVV 测量包括给定患者各次就诊时 SBP 的 SD 和变异系数。我们计算了患者层面的总体 VVV 以及患者亚组的 VVV。我们进一步建立了一个多层次回归模型,以评估患者特征对 SBP 变异的解释程度:研究对象包括 537 218 名成年人,共进行了 7 721 864 次 SBP 测量。平均年龄为 53.4 岁(SD 19.0),60.4% 为女性,69.4% 为非西班牙裔白人,18.1% 正在服用抗高血压药物。患者的平均体重指数为 28.4 (5.9) kg/m2,分别有 22.6%、8.0%、9.7% 和 5.6% 的患者有高血压、糖尿病、高脂血症和冠心病病史。每位患者的平均就诊次数为 13.3 次,平均就诊时间为 2.4 年。各次就诊时 SBP 的个体内平均值(SD)和变异系数分别为 10.6 (5.1) mm Hg 和 0.08 (0.04)。在根据人口统计学特征和病史定义的患者亚组中,这些血压变化测量值是一致的。在多变量线性回归模型中,患者特征仅占绝对标准化差异变异的 4%:真实世界中的 VVV 给根据门诊血压读数管理高血压患者带来了挑战,并表明有必要超越偶发的门诊评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study.

Background: Visit-to-visit variability (VVV) in blood pressure values has been reported in clinical studies. However, little is known about VVV in clinical practice and whether it is associated with patient characteristics in real-world setting.

Methods: We conducted a retrospective cohort study to quantify VVV in systolic blood pressure (SBP) values in a real-world setting. We included adults (age ≥18 years) with at least 2 outpatient visits between January 1, 2014 and October 31, 2018 from Yale New Haven Health System. Patient-level measures of VVV included SD and coefficient of variation of a given patient's SBP across visits. We calculated patient-level VVV overall and by patient subgroups. We further developed a multilevel regression model to assess the extent to which VVV in SBP was explained by patient characteristics.

Results: The study population included 537 218 adults, with a total of 7 721 864 SBP measurements. The mean age was 53.4 (SD 19.0) years, 60.4% were women, 69.4% were non-Hispanic White, and 18.1% were on antihypertensive medications. Patients had a mean body mass index of 28.4 (5.9) kg/m2 and 22.6%, 8.0%, 9.7%, and 5.6% had a history of hypertension, diabetes, hyperlipidemia, and coronary artery disease, respectively. The mean number of visits per patient was 13.3, over an average period of 2.4 years. The mean (SD) intraindividual SD and coefficient of variation of SBP across visits were 10.6 (5.1) mm Hg and 0.08 (0.04). These measures of blood pressure variation were consistent across patient subgroups defined by demographic characteristics and medical history. In the multivariable linear regression model, only 4% of the variance in absolute standardized difference was attributable to patient characteristics.

Conclusions: The VVV in real-world practice poses challenges for management of patients with hypertension based on blood pressure readings in outpatient settings and suggest the need to go beyond episodic clinic evaluation.

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来源期刊
Circulation. Cardiovascular Quality and Outcomes
Circulation. Cardiovascular Quality and Outcomes Medicine-Cardiology and Cardiovascular Medicine
CiteScore
9.80
自引率
2.90%
发文量
357
期刊介绍: Circulation: Cardiovascular Quality and Outcomes, an American Heart Association journal, publishes articles related to improving cardiovascular health and health care. Content includes original research, reviews, and case studies relevant to clinical decision-making and healthcare policy. The online-only journal is dedicated to furthering the mission of promoting safe, effective, efficient, equitable, timely, and patient-centered care. Through its articles and contributions, the journal equips you with the knowledge you need to improve clinical care and population health, and allows you to engage in scholarly activities of consequence to the health of the public. Circulation: Cardiovascular Quality and Outcomes considers the following types of articles: Original Research Articles, Data Reports, Methods Papers, Cardiovascular Perspectives, Care Innovations, Novel Statistical Methods, Policy Briefs, Data Visualizations, and Caregiver or Patient Viewpoints.
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