Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
J Womens Health (Larchmt). 2021 Oct;30(10):1431-1439. doi: 10.1089/jwh.2021.0166. Epub 2021 Aug 12.
Preterm delivery is associated with a 1.4- to 2-fold increased risk of cardiovascular disease (CVD), but inclusion of preterm delivery in CVD risk prediction algorithms has not been tested. We evaluated whether including preterm delivery and parity in CVD risk scores improved identification of women at high risk versus scores based on traditional risk factors. We predicted 10-year CVD risk using 119,587 observations contributed by 76,512 women ≥40 years of age and 20-year CVD risk with 72,533 women ≥40 years of age and 72,872 women ≥30 years of age from the Nurses' Health Study II. Cox proportional hazards models were fit with established CVD risk factors (Model 1) and established risk factors plus preterm delivery and parity (Model 2). We evaluated model fit, calibration, discrimination, and risk reclassification. Very preterm delivery (<32 weeks) was associated with CVD in all 10- and 20-year models that included the established CVD risk factors (, hazard ratio: 1.61, 95% confidence interval: 1.19 to 2.20 in 10-year risk model). Model 2 had improved fit relative to Model 1, but discrimination was not improved in Model 2 based on the C-difference or net reclassification index. Similar models for 20-year CVD risk prediction at age ≥30 years indicated improved discrimination when including preterm delivery and parity. Incorporating preterm delivery and parity into CVD risk scores appears most useful when women are young, before they develop established CVD risk factors. Observed improvements in risk prediction were small and warrant further investigation to confirm our findings and assess utility in a clinical setting.
早产与心血管疾病 (CVD) 的风险增加 1.4 至 2 倍相关,但尚未对将早产纳入 CVD 风险预测算法进行测试。我们评估了在 CVD 风险评分中包含早产和产次是否可以改善对高风险女性的识别,与基于传统风险因素的评分相比。我们使用来自护士健康研究 II 的 76,512 名年龄≥40 岁的女性的 119,587 次观察和 72,533 名年龄≥40 岁和 72,872 名年龄≥30 岁的女性的 20 年 CVD 风险来预测 10 年 CVD 风险。Cox 比例风险模型与既定的 CVD 风险因素(模型 1)和既定的风险因素加早产和产次(模型 2)相拟合。我们评估了模型拟合、校准、区分度和风险再分类。非常早产(<32 周)与所有包含既定 CVD 风险因素的 10 年和 20 年模型中的 CVD 相关(风险比:1.61,95%置信区间:10 年风险模型中的 1.19 至 2.20)。与模型 1 相比,模型 2 的拟合度有所提高,但基于 C 差异或净重新分类指数,模型 2 的区分度并未提高。在年龄≥30 岁的女性中,用于预测 20 年 CVD 风险的类似模型表明,纳入早产和产次可以提高区分度。将早产和产次纳入 CVD 风险评分似乎在女性年轻时最有用,此时她们尚未发展出既定的 CVD 风险因素。观察到的风险预测改善很小,需要进一步研究来确认我们的发现,并评估在临床环境中的实用性。