新西兰多民族急性冠状动脉综合征研究(MENZACS):设计和方法

IF 0.5 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiogenetics Pub Date : 2021-06-08 DOI:10.3390/CARDIOGENETICS11020010
M. Legget, V. Cameron, K. Poppe, S. Aish, N. Earle, Yeun-Hyang Choi, K. Bradbury, C. Wall, R. Stewart, A. Kerr, W. Harrison, G. Devlin, R. Troughton, A. Richards, G. Porter, P. Gladding, A. Rolleston, R. Doughty
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Patients with first-time ACS are enrolled and study-specific research data is collected alongside the ANZACS-QI registry. The research blood samples are stored for future genetic/biomarker assays. Dietary information is collected with a food frequency questionnaire and information about physical activity, smoking, and stress is also collected via questionnaire. Detailed family history, ancestry, and ethnicity data are recorded on all participants. Results. During the period between 2015 and 2019, there were 2015 patients enrolled. The mean age was 61 years, with 60% of patients aged <65 years and 21% were female. Ethnicity and cardiovascular (CV) risk factor distribution was similar to ANZACS-QI: 13% Māori, 5% Pacific, 5% Indian, and 74% NZ European. In terms of CV risk factors, 56% were ex-/current smokers, 42% had hypertension, and 19% had diabetes. 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引用次数: 2

摘要

背景。每年约有5000名新西兰人因首次急性冠状动脉综合征(ACS)住院。新西兰多民族急性冠状动脉综合征研究(MENZACS)是一项前瞻性纵向队列研究,嵌入在六家医院的全新西兰急性冠状动脉综合征质量改善(ANZACS-QI)登记处。MENZACS的目的是检查临床、基因组和心脏代谢标志物与acs后的表现和结果之间的关系。方法。首次ACS患者入组,并与ANZACS-QI注册一起收集特定研究数据。研究血液样本被储存起来,以备将来进行遗传/生物标志物分析。饮食信息通过食物频率调查问卷收集,关于体育活动、吸烟和压力的信息也通过调查问卷收集。所有参与者的详细家族史、祖先和种族数据都被记录下来。结果。在2015年至2019年期间,共有2015名患者入组。平均年龄61岁,年龄<65岁的占60%,女性占21%。种族和心血管(CV)危险因素分布与ANZACS-QI相似:13% Māori, 5%太平洋,5%印度,74%新西兰欧洲。在心血管危险因素方面,56%的人曾经/现在吸烟,42%的人患有高血压,19%的人患有糖尿病。ACS亚型为ST段抬高型心肌梗死(STEMI)占41%,非ST段抬高型心肌梗死(NSTEM)占54%,不稳定型心绞痛占5%。99%的MENZACS参与者接受了冠状动脉造影,90%进行了血运重建术;出院时二级预防药物处方率较高。结论。MENZACS代表了一个具有最佳当代管理的队列,将成为研究新西兰多民族环境中导致ACS的环境和遗传因素的重要流行病学生物资源。该研究将利用临床、营养、生活方式、基因组和生物标志物分析来探索影响冠状动脉疾病进展的因素,并建立健康结果的风险预测模型。
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The Multi-Ethnic New Zealand Study of Acute Coronary Syndromes (MENZACS): Design and Methodology
Background. Each year, approximately 5000 New Zealanders are admitted to hospital with first-time acute coronary syndrome (ACS). The Multi-Ethnic New Zealand Study of Acute Coronary Syndromes (MENZACS) is a prospective longitudinal cohort study embedded within the All New Zealand Acute Coronary Syndrome Quality Improvement (ANZACS-QI) registry in six hospitals. The objective of MENZACS is to examine the relationship between clinical, genomic, and cardiometabolic markers in relation to presentation and outcomes post-ACS. Methods. Patients with first-time ACS are enrolled and study-specific research data is collected alongside the ANZACS-QI registry. The research blood samples are stored for future genetic/biomarker assays. Dietary information is collected with a food frequency questionnaire and information about physical activity, smoking, and stress is also collected via questionnaire. Detailed family history, ancestry, and ethnicity data are recorded on all participants. Results. During the period between 2015 and 2019, there were 2015 patients enrolled. The mean age was 61 years, with 60% of patients aged <65 years and 21% were female. Ethnicity and cardiovascular (CV) risk factor distribution was similar to ANZACS-QI: 13% Māori, 5% Pacific, 5% Indian, and 74% NZ European. In terms of CV risk factors, 56% were ex-/current smokers, 42% had hypertension, and 19% had diabetes. ACS subtype was ST elevation myocardial infarction (STEMI) in 41%, non-ST elevation myocardial infarction (NSTEM) in 54%, and unstable angina in 5%. Ninety-nine percent of MENZACS participants underwent coronary angiography and 90% had revascularization; there were high rates of prescription of secondary prevention medications upon discharge from hospital. Conclusion. MENZACS represents a cohort with optimal contemporary management and will be a significant epidemiological bioresource for the study of environmental and genetic factors contributing to ACS in New Zealand’s multi-ethnic environment. The study will utilise clinical, nutritional, lifestyle, genomic, and biomarker analyses to explore factors influencing the progression of coronary disease and develop risk prediction models for health outcomes.
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来源期刊
Cardiogenetics
Cardiogenetics CARDIAC & CARDIOVASCULAR SYSTEMS-
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审稿时长
11 weeks
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