医学
内科学
危险系数
比例危险模型
多囊卵巢
队列
疾病
心肌梗塞
体质指数
风险因素
生物标志物
置信区间
肥胖
胰岛素抵抗
生物化学
化学
作者
X L Zhao,Jing Wang,Dan Sun,Dabao Xu,Yao Lu
标识
DOI:10.1093/eurjpc/zwae375
摘要
Abstract Aims Whether polycystic ovary syndrome (PCOS) is an independent risk factor for long-term cardiovascular disease (CVD) is unclear, and the risk of CVD in easily overlooked young nonobese PCOS patients is unknown. This study aimed to investigate the associations of PCOS with CVD and identify the management priorities. Methods and results 3864 participants (645 with PCOS) from UK Biobank were recruited from 2006–2010. The cumulative incidences of the CVD were calculated and compared between patients with and without PCOS via the log rank test. Cox proportional risk regression models were used to assess the relationships of PCOS with CVD and the impact of PCOS treatments on CVD risk. Polygenic risk scores and linkage disequilibrium score regression were used to assess the genetic-level associations. Then proteomics subgroup cohort was conducted to explore the significant biomarker involved in the PCOS–CVD associations. Compared with participants without PCOS, participants with PCOS had greater risks of CVD (hazard ratio (HR)=1.77, 95% confidence interval (CI)=1.19-2.65), coronary artery disease (HR=2.27, 95% CI=1.35-3.81) and myocardial infarction (HR=2.08, 95% CI=1.11-3.90) independent of genetic risk, especially for young nonobese PCOS patients (Pfor interaction <0.05). Current commonly used treatments did not affect CVD incidence. Proteomics cohort revealed that discoidin, CUB and LCCL domain-containing protein 2 (DCBLD2) may be specific CVD biomarker for patients with PCOS. Conclusion Patients with PCOS had an increased risk of CVD, and young nonobese PCOS patients should be prioritized for CVD risk management. These findings support the necessity of clinical surveillance and suggest DCBLD2 as a possible CVD biomarker in females with PCOS.
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