4.6 Article

Using Big Data for Cardiovascular Health Surveillance: Insights From 10.3 Million Individuals in the CANHEART Cohort

Journal

CANADIAN JOURNAL OF CARDIOLOGY
Volume 38, Issue 10, Pages 1558-1566

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.cjca.2022.06.007

Keywords

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Funding

  1. ICES - Ontario Ministry of Health (MOH)
  2. Ministry of Long-Term Care (MLTC)
  3. Institute of Circulatory and Respiratory Health (ICRH, Canadian Institutes of Health Research (CIHR) Chronic Diseases Team operating grant) [TCA 118349]
  4. CIHR foundation [FDN-143313, FDN-154333]
  5. CIHR Strategy for Patient-Oriented Research Innovative Clinical Trial Multi-Year Grant [MYG-151211]
  6. Heart and Stroke Foundation National New Investigator-Ontario Clinician Scientist Award
  7. Ontario Ministry of Research, Innovation and Science Early Researcher Award
  8. Tier 1 Canada Research Chair in Health Services Research and an Eaton Scholar award from the Department of Medicine, University of Toronto
  9. Jack Tu Chair in Cardiovascular Outcomes Research

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This study utilized large electronic population-based databases to conduct cardiovascular health surveillance in Ontario, Canada. The findings showed that the cardiovascular risk-factor burden and preventive care among adults in Ontario were similar to the results from health survey data. However, there were slight differences in glucose and systolic blood pressure levels.
Background: 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, Canadadusing routinely collected datad and compare estimates with health survey data. Methods: 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. Results: 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). Conclusions: 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.

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