Veterans Affairs Center for Clinical Management Research, HSR&D Center of Excellence, Ann Harbor, MI, USA.
Am J Manag Care. 2012 Aug;18(8):414-20.
Considering cardiovascular (CV) risk could make clinical care more efficient and individualized, but most practice guidelines focus on single risk factors. We sought to determine if hypertension treatment intensification (TI) is more likely in patients with elevated CV risk.
Prospective cohort study of 856 US veterans with diabetes and elevated blood pressure (BP).
We used multilevel logistic regression to compare TI across 3 CV risk groups: those with history of heart disease, a high-risk primary prevention group (10-year event risk >20% but no history of heart disease), and those with low/ medium CV risk (10-year event risk <20%).
There were no significant differences in TI rates across risk groups, with adjusted odds ratios (ORs) of 1.19 (95% confidence interval 0.77-1.84) and 1.18 (0.76-1.83) for high-risk patients and those with a history of CVD, respectively, compared with those of low/medium risk. Several individual risk factors were associated with higher rates of TI: systolic BP, mean BP in the prior year, and higher glycated hemoglobin. Self-reported home BP <140/90 mm Hg was associated with lower rates of TI. Incorporating CV risk into TI decision algorithms could prevent an estimated 38% more cardiac events without increasing the number of treated patients.
While an individual's BP alters clinical decisions about TI, overall CV risk does not appear to play a role in clinical decision making. Adoption of TI decision algorithms that incorporate CV risk could substantially enhance the efficiency and clinical utility of CV preventive care.
考虑心血管(CV)风险可以使临床护理更有效和个体化,但大多数实践指南都侧重于单一风险因素。我们旨在确定高血压治疗强化(TI)是否更可能发生在CV 风险升高的患者中。
对 856 名患有糖尿病和血压升高的美国退伍军人进行前瞻性队列研究。
我们使用多水平逻辑回归来比较 3 个 CV 风险组之间的 TI:有心脏病史的患者、高风险一级预防组(10 年事件风险>20%但无心脏病史)和低/中 CV 风险组(10 年事件风险<20%)。
在风险组之间,TI 率没有显著差异,调整后的优势比(OR)分别为 1.19(95%置信区间 0.77-1.84)和 1.18(0.76-1.83),分别用于高风险患者和有 CVD 病史的患者,与低/中风险组相比。几个个体风险因素与更高的 TI 率相关:收缩压、前一年的平均血压和更高的糖化血红蛋白。自我报告的家庭血压<140/90mmHg 与 TI 率较低相关。将 CV 风险纳入 TI 决策算法可以在不增加治疗患者数量的情况下预防估计 38%更多的心脏事件。
虽然一个人的血压会改变关于 TI 的临床决策,但总体 CV 风险似乎并未在临床决策中发挥作用。采用纳入 CV 风险的 TI 决策算法可以大大提高 CV 预防保健的效率和临床实用性。