医学
接收机工作特性
置信区间
弗雷明翰风险评分
线性判别分析
多元统计
内科学
判别式
风险评估
统计
心脏病学
人工智能
数学
疾病
计算机安全
计算机科学
作者
Huijuan Zuo,Xiantao Song,Jinwen Wang,Liqun Deng
出处
期刊:Journal of The American Society of Hypertension
日期:2018-12-01
卷期号:12 (12): 833-840
被引量:3
标识
DOI:10.1016/j.jash.2018.11.001
摘要
This study aimed to describe the status of carotid plaques and develop a simple scoring system to predict the risk of carotid lesions in patients with hypertension. Basic testing for carotid plaques was carried out and used for risk score development (the training dataset, n = 2665) and validation (the test dataset, n = 1333). Independent predictors of carotid plaques from the multivariate model were assigned integer weights based on their coefficients and incorporated into a risk score. The discriminant ability of the score was tested by receiver operating characteristic analysis using the test dataset. A total of 1346 of 2665 patients were examined for carotid plaques, which were more frequent in men than in women, and increased with age. The final model included eight significant variables, and these variables were then used to develop a risk score for the prediction of carotid plaques. Receiver operating characteristic analysis demonstrated good discriminant power with a C-statistic of 0.732 (95% confidence interval: 0.713-0.751) and good calibration across quantiles of observed predicted risk (74.6%). We developed a simple risk score for the prediction of carotid plaques based on eight variables. The prediction model showed good discriminant power and calibration.
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