five

Determining Percentiles of Atherosclerotic Cardiovascular Risk According to Sex and Age in a Healthy Brazilian Population

收藏
DataCite Commons2023-07-01 更新2024-08-18 收录
下载链接:
https://scielo.figshare.com/articles/dataset/Determining_Percentiles_of_Atherosclerotic_Cardiovascular_Risk_According_to_Sex_and_Age_in_a_Healthy_Brazilian_Population/23612722/1
下载链接
链接失效反馈
官方服务:
资源简介:
Abstract Background Expressing the risk of atherosclerotic cardiovascular disease (ASCVD) as percentiles of the distribution according to sex and age may provide a better perception of the risk. Objectives To determine percentiles of the 10-year ASCVD risk distribution according to sex and age in a sample of the Brazilian population; to characterize individuals at low 10-year risk but high risk percentile. Methods We analyzed individuals aged 40 to 75 years who underwent routine health evaluations from 2010 to 2020. Persons with known clinical ASCVD, diabetes mellitus, chronic kidney disease, or LDL-cholesterol ≥ 190 mg/dL were excluded. The 10-year ASCVD risk was calculated by the ACC/AHA pooled cohort equations. Local polynomial regression was used to determine risk percentiles. Two-sided p-values < 0.050 were considered statistically significant. Results Our sample comprised 54,145 visits (72% male, median age [interquartile range] 48 [43, 53] years). We constructed sex-specific graphs plotting age against ASCVD risk corresponding to the 10th, 25th, 50th, 75th, and 90th percentiles. Most males up to 47 years and females up to 59 years above the 75th percentile had a 10-year risk < 5%. Individuals at low 10-year risk and risk percentile ≥ 75th had a high prevalence of excess weight and median (interquartile range) LDL-cholesterol levels 136 (109, 158) mg/dL (males) and 126 (105, 147) mg/dL (females). Conclusions We established ASCVD risk percentiles according to sex and age in a large sample of the Brazilian population. This approach may increase risk awareness and help identify younger persons at low 10-year risk who may benefit from more aggressive risk factor control.
提供机构:
SciELO journals
创建时间:
2023-07-01
二维码
社区交流群
二维码
科研交流群
商业服务