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Jcvrisk: An R Package for Population-level Estimation of Cardiovascular Risk Scores in Japanese Adults
Hiroshi Okumiyama1, Ryosuke Fujii1, Yoshiki Tsuboi1
1Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences.
Insights
A new R package, Jcvrisk, estimates cardiovascular disease (CVD) risk scores for Japanese adults. Despite stable risk factors, the Jcvrisk package revealed an increasing trend in 10-year CVD risk over 20 years.
Area of Science:
- Public Health
- Biostatistics
- Epidemiology
Background:
- Cardiovascular disease (CVD) is a major cause of mortality in Japan.
- Existing CVD risk scores lack population-level estimation tools for Japanese individuals.
- The Jcvrisk R package was developed to address this gap by integrating major Japanese CVD risk models.
Purpose of the Study:
- To develop and validate the Jcvrisk R package for estimating cardiovascular disease risk scores in the Japanese population.
- To apply the Jcvrisk package to a longitudinal study to assess trends in CVD risk.
Main Methods:
- Utilized longitudinal data from the Yakumo Study (2000-2020).
- Integrated four major Japanese CVD risk models (EPOCH, Hisayama, Suita, JALS) into the Jcvrisk package.
- Analyzed temporal trends in CVD risk scores by summarizing data every five years.
Main Results:
- The study population comprised individuals around 60 years old.
- Key risk factors like smoking prevalence and HDL-C showed minor changes over 20 years.
- All calculated CVD risk scores demonstrated a consistent upward trend in 10-year CVD risk.
Conclusions:
- The Jcvrisk R package provides essential functions for calculating CVD risk scores for Japanese adults.
- This tool is valuable for researchers and policymakers monitoring cardiovascular risk at individual and population levels in Japan.
Background:
Cardiovascular disease (CVD) remains a leading cause of death in Japan. Although several CVD risk scores tailored for Japanese individuals have been developed, no tools are available to estimate these scores at the population level. We developed the "Jcvrisk" R package, which integrates four major Japanese CVD risk models recommended by the clinical guideline from the Japanese Circulation Society (JCS). As a showcase, we applied the Jcvrisk package to longitudinal population-based study to evaluate trends in estimated different risk scores.
Methods:
We used longitudinal data from the Yakumo Study, an annual health checkup for residents in Yakumo, Hokkaido. This package includes four risk models with 14 risk scores from representative cardiovascular cohort studies, including three Evidence for Cardiovascular Prevention From Observational Cohorts scores, one Hisayama score, two Suita scores, and eight Japan Atherosclerosis Longitudinal Study scores. For temporal comparisons of CVD risk scores, we summarized scores from 2000 to 2020 every 5 years.
Results:
The mean age of participants throughout all study years was around 60 years. Most risk factors did not change remarkably over the 20 years, with only a decrease in smoking prevalence and an increase in high density lipoprotein cholesterol. However, all CVD risk scores consistently indicated an upward trend in 10-year CVD risk.
Conclusion:
Jcvrisk package includes functions to calculate CVD risk scores for Japanese adults. The package serves as a valuable tool for researchers and policymakers aiming to assess and monitor cardiovascular risk at both individual and the population level in Japan.
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