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利用特定体检项目开发动脉粥样硬化性心血管疾病新评分:Suita 研究。

Development of new scores for atherosclerotic cardiovascular disease using specific medical examination items: the Suita Study.

机构信息

Department of Preventive Cardiology, National Cerebral and Cardiovascular Center.

Department of Public Health, Faculty of Medicine, Beni-Suef University.

出版信息

Environ Health Prev Med. 2023;28:61. doi: 10.1265/ehpm.23-00099.

Abstract

BACKGROUND

We previously developed risk models predicting stroke, coronary heart disease (CHD), and cardiovascular disease (CVD) among Japanese people from the Suita Study. Yet, applying these models at the national level was challenging because some of the included risk factors differed from those collected in the Japanese governmental health check-ups, such as Tokutei-Kenshin. We, therefore, conducted this study to develop new risk models for stroke, CHD, and atherosclerotic CVD (ASCVD), based on data from the Suita Study. The new models used traditional cardiovascular risk factors similar to those in the Japanese governmental health check-ups.

METHODS

We included 7,413 participants, aged 30-84 years, initially free from stroke and CHD. All participants received baseline health examinations, including a questionnaire assessing their lifestyle and medical history, medical examination, and blood and urine analysis. The risk factors of stroke, CHD, and ASCVD (cerebral infarction or CHD) were determined using the multivariable-adjusted Cox regression. The models' performance was assessed using the C-statistics for discrimination and the Hosmer-Lemeshow for calibration. We also developed three simple scores (zero to 100) that could predict the 10-year incidence of stroke, CHD, and ASCVD.

RESULTS

Within 110,428 person-years (median follow-up = 16.6 years), 410 stroke events, 288 CHD events, and 527 ASCVD events were diagnosed. Age, smoking, hypertension, and diabetes were associated with stroke, CHD, and ASCVD risk. Men and those with decreased high-density lipoproteins or increased low-density lipoproteins showed a higher risk of CHD and ASCVD. Urinary proteins were associated with an increased risk of stroke and ASCVD. The C-statistic values of the risk models were >0.750 and the p-values of goodness-of-fit were >0.30. The 10-year incidence of stroke, CVD, and ASCVD events was 3.8%, 3.5%, and 5.7% for scores 45-54, 10.3%, 11.8%, and 19.6% for scores 65-74, and 27.7%, 23.5%, and 60.5% for scores ≥85, respectively.

CONCLUSIONS

We developed new Suita risk models for stroke, CHD, and ASCVD using variables similar to those in the Japanese governmental health check-ups. We also developed new risk scores to predict incident stroke, CHD, and ASCVD within 10 years.

摘要

背景

我们之前开发了预测日本人中风、冠心病(CHD)和心血管疾病(CVD)风险的模型,这些模型来自于 Suita 研究。然而,由于一些纳入的风险因素与日本政府健康检查中收集的因素不同,例如 Tokutei-Kenshin,因此在全国范围内应用这些模型具有挑战性。因此,我们进行了这项研究,以基于 Suita 研究的数据,为中风、CHD 和动脉粥样硬化性 CVD(ASCVD)开发新的风险模型。新模型使用了与日本政府健康检查中类似的传统心血管风险因素。

方法

我们纳入了 7413 名年龄在 30-84 岁之间、最初无中风和 CHD 的参与者。所有参与者均接受了基线健康检查,包括评估生活方式和病史的问卷、体格检查以及血液和尿液分析。使用多变量调整的 Cox 回归确定中风、CHD 和 ASCVD(脑梗死或 CHD)的风险因素。使用判别能力的 C 统计量和校准的 Hosmer-Lemeshow 评估模型的性能。我们还开发了三个简单的评分(0-100),可以预测 10 年内中风、CHD 和 ASCVD 的发病风险。

结果

在 110428 人年(中位随访时间=16.6 年)期间,诊断出 410 例中风事件、288 例 CHD 事件和 527 例 ASCVD 事件。年龄、吸烟、高血压和糖尿病与中风、CHD 和 ASCVD 风险相关。男性和高密度脂蛋白降低或低密度脂蛋白升高的人患 CHD 和 ASCVD 的风险更高。尿蛋白与中风和 ASCVD 的风险增加相关。风险模型的 C 统计量值>0.750,拟合优度的 p 值>0.30。评分 45-54 的 10 年中风、CVD 和 ASCVD 事件发生率分别为 3.8%、3.5%和 5.7%,评分 65-74 的 10 年中风、CVD 和 ASCVD 事件发生率分别为 10.3%、11.8%和 19.6%,评分≥85 的 10 年中风、CVD 和 ASCVD 事件发生率分别为 27.7%、23.5%和 60.5%。

结论

我们使用与日本政府健康检查中相似的变量为中风、CHD 和 ASCVD 开发了新的 Suita 风险模型。我们还开发了新的风险评分,以预测 10 年内中风、CHD 和 ASCVD 的发病风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5be/10613553/22bc5e6f54c0/ehpm-28-061-g001.jpg

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