医学
痴呆
内科学
四分位间距
心脏病学
比例危险模型
冠状动脉钙
冠状动脉疾病
前瞻性队列研究
弗雷明翰风险评分
疾病
作者
Gary Huang,Spencer Hansen,Robyn L. McClelland,Annette L. Fitzpatrick,W.T. Longstreth,Matthew J. Budoff,Nathan D. Wong,Akira Fujiyoshi,Younghoon Kwon,Timothy M. Hughes,Susan R. Heckbert
标识
DOI:10.1016/j.amjcard.2022.01.061
摘要
Baseline coronary artery calcification has been shown to be associated with dementia. However, the value of coronary artery calcium (CAC) progression in the prediction of dementia remains unclear. In this study, we examined the association between CAC progression and dementia in the Multi-Ethnic Study of Atherosclerosis. The Multi-Ethnic Study of Atherosclerosis is a prospective study consisting of 6,814 participants 45 to 84 years of age, free of overt cardiovascular disease at baseline. A total of 5,570 subjects had baseline and follow-up CAC scans approximately 2.5 years apart and were included this analysis. A total of 4,173 of these participants completed cognitive testing with the Cognitive Abilities Screening Instrument (CASI) approximately 10 years after the baseline CAC scan. Dementia diagnoses were identified using International Classification of Diseases codes from hospitalizations, death certificates, and medications used to treat dementia. The absolute change between baseline and follow-up CAC was used to assess CAC progression. Cox proportional hazards and multivariable linear regression models were used to examine the association of CAC progression with incident dementia and with CASI score. Over a median follow-up of 13.2 (interquartile range: 11.2 to 15.3) years, 350 participants developed incident dementia. CAC progression showed no association with dementia risk after adjustment for age, gender, race/ethnicity, vascular risk factors, and baseline CAC score. There was no association of CAC progression with CASI score in any adjusted model. In conclusion, progression of CAC over approximately 2.5 years was not associated with increased risk of dementia after adjustment for demographic variables, vascular risk factors, and baseline CAC.
科研通智能强力驱动
Strongly Powered by AbleSci AI