Chu Anna, Hennessy Deirdre A, Johnston Sharon, Udell Jacob A, Lee Douglas S, Jia Jing, Tu Jack V, Ko Dennis T
ICES, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada.
Statistics Canada, Ottawa, Ontario, Canada.
Can J Cardiol. 2022 Oct;38(10):1558-1566. doi: 10.1016/j.cjca.2022.06.007. Epub 2022 Jun 13.
The increasing availability of large electronic population-based databases offers unique opportunities to conduct cardiovascular health surveillance traditionally done using surveys. We aimed to examine cardiovascular risk-factor burden, preventive care, and disease incidence among adults in Ontario, Canada-using routinely collected data-and compare estimates with health survey data.
In the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) initiative, multiple health administrative databases were linked to create a population-based cohort of 10.3 million adults without histories of cardiovascular disease. We examined cardiovascular risk-factor burden and screening and outcomes between 2016 and 2020. Risk- factor burden was also compared with cycles 3 to 5 (2012 to 2017) of the Canadian Health Measures Survey (CMHS), which included 9473 participants across Canada.
Mean age of our study cohort was 47.9 ± 17.0 years, and 52.0% were women. Lipid and diabetes assessment rates among individuals 40 to 79 years were 76.6% and 78.2%, respectively, and lowest among men 40 to 49 years of age. Total cholesterol levels and diabetes and hypertension rates among men and women 20 to 79 years were similar to Canadian Health Measures Survey (CHMS) findings (total cholesterol: 4.80/4.98 vs 4.94/5.25 mmol/L; diabetes: 8.2%/7.1% vs 8.1%/6.0%; hypertension: 21.4%/21.6% vs 23.9%/23.1%, respectively); however, patients in the CANHEART study had slightly higher mean glucose (men: 5.79 vs 5.44; women: 5.39 vs 5.09 mmol/L) and systolic blood pressures (men: 126.2 vs 118.3; women: 120.6 vs 115.7 mm Hg).
Cardiovascular health surveillance is possible through linkage of routinely collected electronic population-based datasets. However, further investigation is needed to understand differences between health administrative and survey measures cross-sectionally and over time.
基于人群的大型电子数据库越来越容易获取，这为开展传统上通过调查进行的心血管健康监测提供了独特的机会。我们旨在利用常规收集的数据，研究加拿大安大略省成年人的心血管危险因素负担、预防保健和疾病发病率，并将估计值与健康调查数据进行比较。
在门诊护理研究团队心血管健康（CANHEART）倡议中，多个健康管理数据库相链接，创建了一个由1030万无心血管疾病史的成年人组成的基于人群的队列。我们研究了2016年至2020年期间的心血管危险因素负担、筛查情况及结果。危险因素负担也与加拿大健康措施调查（CMHS）的第3至5轮（2012年至2017年）进行了比较，CMHS在加拿大全国范围内纳入了9473名参与者。
我们研究队列的平均年龄为47.9±17.0岁，52.0%为女性。40至79岁个体的血脂和糖尿病评估率分别为76.6%和78.2%，在40至49岁男性中最低。20至79岁男性和女性的总胆固醇水平、糖尿病和高血压患病率与加拿大健康措施调查（CHMS）的结果相似（总胆固醇：4.80/4.98对4.94/5.25 mmol/L；糖尿病：8.2%/7.1%对8.1%/6.0%；高血压：21.4%/21.6%对23.9%/23.1%）；然而，CANHEART研究中的患者平均血糖略高（男性：5.79对5.44；女性：5.39对5.09 mmol/L），收缩压也略高（男性：126.2对118.3；女性：120.6对115.7 mmHg）。
通过链接常规收集的基于人群的电子数据集进行心血管健康监测是可行的。然而，需要进一步调查以了解健康管理措施和调查措施在横断面和随时间变化方面的差异。
