Turku Bioscience Centre, University of Turku and Åbo Akademi University.
Department of Future Technologies.
J Hypertens. 2020 Mar;38(3):511-518. doi: 10.1097/HJH.0000000000002282.
The Systolic Blood Pressure Intervention Trial (SPRINT) reported that lowering SBP to below 120 mmHg (intensive treatment) reduced cardiovascular morbidity and mortality among adults with hypertension but increased the incidence of adverse events, particularly acute kidney injury (AKI). The goal of this study was to develop an accurate risk estimation tool for comparing the risk of cardiovascular events and adverse kidney-related outcomes between standard and intensive antihypertensive treatment strategies.
By applying Lasso regression on the baseline characteristics and health outcomes of 8760 participants with complete baseline information in the SPRINT trial, we developed predictive models for primary cardiovascular disease (CVD) outcome and incidence of AKI. Both models were validated against an independent test set of the SPRINT trial (one third of data not used for model building) and externally against the cardiovascular and renal outcomes available in Action to Control Cardiovascular Risk in Diabetes Blood Pressure trial, consisting of 4733 participants with type 2 diabetes mellitus.
Lasso regression identified a subset of variables that accurately predicted the primary CVD outcome and the incidence of AKI (areas under receiver-operating characteristic curves 0.70 and 0.77, respectively). Based on the validated risk models, an easy-to-use risk assessment tool was developed and made available as an easy-to-use online tool.
By predicting the risks of CVD and AKI at baseline, the developed tool can be used to weigh the benefits of intensive versus standard blood pressure control and to identify those who are likely to benefit most from intensive treatment.
收缩压干预试验(SPRINT)报告称,将收缩压降至 120mmHg 以下(强化治疗)可降低高血压患者的心血管发病率和死亡率,但会增加不良事件的发生率,特别是急性肾损伤(AKI)。本研究的目的是开发一种准确的风险估计工具,用于比较标准和强化降压治疗策略的心血管事件和不良肾脏相关结局的风险。
通过对 SPRINT 试验中 8760 名具有完整基线信息的参与者的基线特征和健康结果应用套索回归,我们为主要心血管疾病(CVD)结局和 AKI 发生率开发了预测模型。这两个模型都针对 SPRINT 试验的独立测试集(未用于模型构建的三分之一数据)进行了验证,并针对 2 型糖尿病患者的心血管和肾脏结局可用的 ACTION 试验进行了外部验证,共纳入 4733 名患者。
套索回归确定了一组能够准确预测主要 CVD 结局和 AKI 发生率的变量(受试者工作特征曲线下面积分别为 0.70 和 0.77)。基于验证的风险模型,开发了一种易于使用的风险评估工具,并作为易于使用的在线工具提供。
通过预测基线时 CVD 和 AKI 的风险,开发的工具可用于权衡强化与标准血压控制的益处,并确定最有可能从强化治疗中获益的人群。