Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
JAMA. 2024 Sep 24;332(12):989-1000. doi: 10.1001/jama.2024.12537.
Since 2013, the American College of Cardiology (ACC) and American Heart Association (AHA) have recommended the pooled cohort equations (PCEs) for estimating the 10-year risk of atherosclerotic cardiovascular disease (ASCVD). An AHA scientific advisory group recently developed the Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations, which incorporated kidney measures, removed race as an input, and improved calibration in contemporary populations. PREVENT is known to produce ASCVD risk predictions that are lower than those produced by the PCEs, but the potential clinical implications have not been quantified.
To estimate the number of US adults who would experience changes in risk categorization, treatment eligibility, or clinical outcomes when applying PREVENT equations to existing ACC and AHA guidelines.
DESIGN, SETTING, AND PARTICIPANTS: Nationally representative cross-sectional sample of 7765 US adults aged 30 to 79 years who participated in the National Health and Nutrition Examination Surveys of 2011 to March 2020, which had response rates ranging from 47% to 70%.
Differences in predicted 10-year ASCVD risk, ACC and AHA risk categorization, eligibility for statin or antihypertensive therapy, and projected occurrences of myocardial infarction or stroke.
In a nationally representative sample of 7765 US adults aged 30 to 79 years (median age, 53 years; 51.3% women), it was estimated that using PREVENT equations would reclassify approximately half of US adults to lower ACC and AHA risk categories (53.0% [95% CI, 51.2%-54.8%]) and very few US adults to higher risk categories (0.41% [95% CI, 0.25%-0.62%]). The number of US adults receiving or recommended for preventive treatment would decrease by an estimated 14.3 million (95% CI, 12.6 million-15.9 million) for statin therapy and 2.62 million (95% CI, 2.02 million-3.21 million) for antihypertensive therapy. The study estimated that, over 10 years, these decreases in treatment eligibility could result in 107 000 additional occurrences of myocardial infarction or stroke. Eligibility changes would affect twice as many men as women and a greater proportion of Black adults than White adults.
By assigning lower ASCVD risk predictions, application of the PREVENT equations to existing treatment thresholds could reduce eligibility for statin and antihypertensive therapy among 15.8 million US adults.
自 2013 年以来,美国心脏病学会(ACC)和美国心脏协会(AHA)一直推荐使用汇总队列方程(PCE)来估计动脉粥样硬化性心血管疾病(ASCVD)的 10 年风险。最近,一个 AHA 科学顾问小组开发了预测心血管疾病事件风险(PREVENT)方程,该方程纳入了肾脏指标,去除了种族作为输入,并提高了当代人群的校准能力。已知 PREVENT 会产生比 PCE 更低的 ASCVD 风险预测,但尚未量化其潜在的临床意义。
估计当将 PREVENT 方程应用于现有的 ACC 和 AHA 指南时,美国成年人在风险分类、治疗资格或临床结果方面会发生多少变化。
设计、地点和参与者:这是一项全国性的代表性横断面研究,纳入了 7765 名年龄在 30 至 79 岁之间的美国成年人,他们参加了 2011 年至 2020 年 3 月的国家健康和营养调查,其回应率在 47%至 70%之间。
预测的 10 年 ASCVD 风险、ACC 和 AHA 风险分类、他汀类药物或抗高血压治疗的资格以及心肌梗死或中风的预计发生率的差异。
在一个具有全国代表性的 7765 名年龄在 30 至 79 岁的美国成年人样本中(中位年龄为 53 岁;51.3%为女性),据估计,使用 PREVENT 方程将重新分类约一半的美国成年人为较低的 ACC 和 AHA 风险类别(53.0%[95%CI,51.2%-54.8%]),而很少有美国成年人被归类为更高的风险类别(0.41%[95%CI,0.25%-0.62%])。接受或建议预防治疗的美国成年人数量预计将减少 1430 万(95%CI,1260 万-1590 万)用于他汀类药物治疗,减少 262 万(95%CI,202 万-321 万)用于抗高血压治疗。研究估计,在 10 年内,这些治疗资格的减少可能导致 107000 例额外的心肌梗死或中风。资格变更将影响两倍的男性比女性和更多的黑人成年人比白人成年人。
通过分配较低的 ASCVD 风险预测,将 PREVENT 方程应用于现有的治疗阈值可能会减少 1580 万美国成年人接受他汀类药物和抗高血压治疗的资格。