Leibowitz Morton, Cohen-Stavi Chandra, Basu Sanjay, Balicer Ran D
Clalit Research Institute, Chief Physician's Office, Clalit Health Services, 101 Arlozorov Street, Tel Aviv, Israel.
Stanford University, Medical School Office Building X-322, 1265 Welch Road, Mail Code 5411, Stanford, CA, 94305, USA.
Curr Cardiol Rep. 2017 Jun;19(6):52. doi: 10.1007/s11886-017-0858-6.
The aim of this study was to review and assess the evidence for low-density lipoprotein cholesterol (LDL-C) treatment goals as presented in current guidelines for primary and secondary prevention of cardiovascular disease.
Different sets of guidelines and clinical studies for secondary prevention have centered on lower absolute LDL-C targets [<70 mg/dL (<1.8 mmol/L)], greater percent reductions of LDL-C (≥50%), or more intense treatment to achieve greater reductions in cardiovascular risk. Population-based risk models serve as the basis for statin initiation in primary prevention. Reviews of current population risk models for primary prevention show moderate ability to discriminate [with c-statistics ranging from 0.67 to 0.77 (95% CIs from 0.62 to 0.83) for men and women] with poor calibration and overestimation of risk. Individual clinical trial data are not compelling to support specific LDL-C targets and percent reductions in secondary prevention. Increasing utilization of electronic health records and data analytics will enable the development of individualized treatment goals in both primary and secondary prevention.
本研究旨在回顾和评估当前心血管疾病一级和二级预防指南中提出的低密度脂蛋白胆固醇(LDL-C)治疗目标的证据。
不同的二级预防指南和临床研究集中在更低的绝对LDL-C目标[<70mg/dL(<1.8mmol/L)]、更大幅度的LDL-C降低百分比(≥50%)或更强化的治疗以实现更大程度的心血管风险降低。基于人群的风险模型是一级预防中启动他汀类药物治疗的基础。对当前一级预防人群风险模型的综述显示,其鉴别能力中等[男性和女性的c统计量范围为0.67至0.77(95%置信区间为0.62至0.83)],校准不佳且风险高估。个体临床试验数据并不足以支持二级预防中的特定LDL-C目标和降低百分比。电子健康记录和数据分析的使用增加将有助于制定一级和二级预防中的个体化治疗目标。