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

IF 4 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Ahmed Arafa, Rena Kashima, Yuka Yasui, Haruna Kawachi, Chisa Matsumoto, Saya Nosaka, Masayuki Teramoto, Miki Matsuo, Yoshihiro Kokubo
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引用次数: 0

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.

使用特定医学检查项目开发动脉粥样硬化性心血管疾病的新评分:适用性研究。
背景:我们之前从Suita研究中开发了预测日本人中风、冠心病和心血管疾病的风险模型。然而,在国家层面应用这些模型是具有挑战性的,因为其中一些风险因素与日本政府健康检查中收集的风险因素不同,如Tokutei Kenshin。因此,我们进行了这项研究,以根据Suita研究的数据,开发中风、CHD和动脉粥样硬化性CVD(ASCVD)的新风险模型。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名参与者,年龄在30-84岁之间,最初没有中风和冠心病。所有参与者都接受了基线健康检查,包括评估其生活方式和病史的问卷、体检以及血液和尿液分析。采用多变量校正Cox回归法确定卒中、CHD和ASCVD(脑梗死或CHD)的危险因素。使用C统计量进行判别,使用Hosmer Lemeshow进行校准,对模型的性能进行评估。我们还制定了三个简单评分(0至100),可以预测中风、CHD和ASCVD的10年发病率。结果:在110428人年内(中位随访=116.6年),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、冠心病和ASCVD风险相关。男性和高密度脂蛋白减少或低密度脂蛋白增加的人患冠心病和ASCVD的风险更高。尿蛋白与中风和ASCVD风险增加有关。风险模型的C统计量大于0.750,拟合优度的p值大于0.30。45-54分的中风、心血管疾病和ASCVD事件的10年发病率分别为3.8%、3.5%和5.7%,65-74分的发病率为10.3%、11.8%和19.6%,≥85分的发生率分别为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,开发了新的中风、CHD和ASCVD的Suita风险模型。我们还开发了新的风险评分来预测10年内发生的中风、CHD和ASCVD。
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来源期刊
Environmental Health and Preventive Medicine
Environmental Health and Preventive Medicine PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
7.90
自引率
2.10%
发文量
44
审稿时长
10 weeks
期刊介绍: The official journal of the Japanese Society for Hygiene, Environmental Health and Preventive Medicine (EHPM) brings a comprehensive approach to prevention and environmental health related to medical, biological, molecular biological, genetic, physical, psychosocial, chemical, and other environmental factors. Environmental Health and Preventive Medicine features definitive studies on human health sciences and provides comprehensive and unique information to a worldwide readership.
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