Personalizing the Intensity of Blood Pressure Control: Modeling the Heterogeneity of Risks and Benefits From SPRINT (Systolic Blood Pressure Intervention Trial).
Personalizing the Intensity of Blood Pressure Control: Modeling the Heterogeneity of Risks and Benefits From SPRINT (Systolic Blood Pressure Intervention Trial).
复制标题
DOI:
10.1161/circoutcomes.117.003624
复制
发表时间:
2017-04
期刊:
影响因子:
--
通讯作者:
Spertus JA
中科院分区:
文献类型:
--
作者:
Patel KK;Arnold SV;Chan PS;Tang Y;Pokharel Y;Jones PG;Spertus JA
In SPRINT (Systolic blood PRessure INtervention Trial), patients with hypertension and high cardiovascular risk treated with intensive blood pressure (BP) control (< 120mmHg) had fewer major adverse cardiovascular events (MACE) and deaths, but higher rates of treatment-related serious adverse events (SAE), than patients randomized to standard BP control (<140mmHg). However, the degree of benefit or harm for an individual patient could vary due to heterogeneity in treatment effect. Using patient-level data from 9361 randomized patients in SPRINT, we developed models to predict risk for MACE or death and treatment-related SAE to allow for individualized BP treatment goals based on each patient’s projected risk and benefit of intensive vs. standard BP control. Models were internally validated using bootstrap resampling and externally validated on 4741 patients from the ACCORD-BP trial. Among 9361 SPRINT patients, 755 (8.1%) patients had a MACE or death event and 338 (3.6%) had a treatment-related SAE over a median follow-up of 3.3 years. The MACE/death and the SAE model had c-statistics of 0.72 and 0.70 respectively in the derivation cohort and 0.69 and 0.65 in ACCORD. The MACE/death model had 10 variables including treatment interactions with age, baseline SBP and DBP and the SAE model had 8 variables including treatment interaction with number of BP medications. Intensive BP treatment was associated with a mean 2.2% ± 2.6% lower risk of MACE/death compared with standard treatment (range = 20.7% lower risk to 19.6% greater risk among individual patients) and a mean 2.2% ± 1.2% higher risk for SAEs (range = 0.5% to 15.8% more harm in individual patients). To translate the findings from SPRINT to clinical practice, we developed prediction models to tailor the intensity of BP control based on the projected risk and benefit for each unique patient. This approach should be prospectively tested to better engage patients in shared medical decision-making and to improve outcomes.