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October 11, 2025Open Access

Estimating the Predictive Value of the Cardiovascular Disease Risk Model “Score” Among the Kazakh People

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YSYerbolat Saruarov

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Overview

Cohort study explores SCORE model's accuracy in predicting cardiovascular disease risk in Kazakhstan, highlighting improved detection methods.

Key Points

  • AUC of the SCORE model improved from 0.88 in 2012 to 0.92 in 2020, indicating better predictive capability.
  • The study analyzed 660 patients over an 8-year period, emphasizing the importance of early detection of cardiovascular disease risk.
  • Pearson correlation rates ranged around 0.996, supporting the reliability of SCORE in assessing risk factors among the population.
  • The proportion of individuals identified as high-risk for CVD increased from 2.5% to 4.4% between 2012 and 2020, emphasizing rising prevalence.

Cite This Study

Yerbolat Saruarov (2025) studied this question.

synapsesocial.com/papers/68e9b1c1ba7d64b6fc1322fehttps://doi.org/10.47526/yjohs-2025.1-11
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