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预测日本高血压新发病例的风险评分。

A risk score predicting new incidence of hypertension in Japan.

机构信息

Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.

出版信息

J Hum Hypertens. 2019 Oct;33(10):748-755. doi: 10.1038/s41371-019-0226-7. Epub 2019 Aug 20.

Abstract

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 χ 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 χ 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.

摘要

高血压的预防始于对风险的认识。我们的目的是利用日本多机构合作队列研究的两个地区的数据,构建一个简单且经过良好验证的、针对日本非高血压人群的基本临床变量风险模型。我们使用了 5105 名同时参加基线调查和 5 年后第二次调查的受试者的数据,构建了一个连续值模型。整个队列的受试者工作特征曲线下面积(AUC)和 Hosmer-Lemeshow χ 统计量分别为 0.826 和 7.06。为了验证,我们将整个队列以 6:4 的比例随机分为 100 次推导和验证集。总结的中位数 AUC 和 Hosmer-Lemeshow χ 统计量分别为 0.83 和 12.2。由每个变量的整数分数组成的点模型的 AUC 为 0.826,与连续值模型相比没有差异。这个简单的风险模型可能有助于一般人群评估新发高血压的风险。

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