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A risk score predicting new incidence of hypertension in Japan

机译:预测日本高血压发病率的风险分数

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摘要

The prevention of hypertension starts with the awareness of risk. Our aim was to construct a simple and well-validated risk model for nonhypertensive people in Japan consisting of basic clinical variables, using a dataset for two areas derived from the Japan Multi-Institutional Collaborative Cohort Study. We constructed a continuous-value model using data on 5105 subjects participating in both the baseline survey and a second survey conducted after 5 years. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow chi(2) statistic for the entire cohort were 0.826 and 7.06, respectively. For validation, the entire cohort was randomly divided 100 times into derivation and validation sets at a ratio of 6:4. The summarized median AUC and the Hosmer-Lemeshow chi(2) statistic were 0.83 and 12.2, respectively. The AUC of a point-based model consisting of integer scores assigned to each variable was 0.826 and showed no difference, compared with the continuous-value model. This simple risk model may help the general population to assess their risks of new-onset hypertension.
机译:预防高血压开始于风险的认识。我们的目的是为日本的非专式验证,验证了一个简单且经过良好的验证的风险模型,这些风险模型由基本的临床变量组成,使用了来自日本多机构协同队列研究的两个地区的数据集。我们使用5105个科目的数据构建了连续值模型,参与了基线调查和5年后进行的第二次调查。接收器操作特征曲线(AUC)和整个队列的Hosmer-Lemeshow Chi(2)统计的区域分别为0.826和7.06。为了验证,整个群组以6:4的比例随机划分100次进入派生和验证集。总而言之的中位数AUC和Hosmer-Lemeshow Chi(2)统计分别为0.83和12.2。与分配给每个变量的整数分数组成的基于点的模型的AUC为0.826,与连续值模型相比,没有差异。这种简单的风险模型可以帮助一般人群评估其新发病高血压的风险。

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