Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
J Hum Hypertens. 2019 Oct;33(10):748-755. doi: 10.1038/s41371-019-0226-7. Epub 2019 Aug 20.
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.
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。