Cardiovascular risk predictors in Primary Health Care: reflections on the adoption of non-laboratory models

Authors

  • Kananda Oliveira Garcia Ruiz Universidade Federal de São João del Rei, Curso de Medicina – São João del Rei (MG), Brazil https://orcid.org/0009-0004-8463-551X
  • Mariela Svízzero Amaral Universidade Federal de São João del Rei, Curso de Medicina – São João del Rei (MG), Brazil https://orcid.org/0009-0008-3821-211X
  • Rafael Fonseca Drumond Universidade Federal de São João del Rei, Curso de Medicina – São João del Rei (MG), Brazil https://orcid.org/0000-0003-0054-9493
  • Vitor de Oliveira Ribeiro Universidade Federal de São João del Rei, Curso de Medicina – São João del Rei (MG), Brazil https://orcid.org/0009-0001-2074-1346
  • Beatriz Pimentel de Oliveira Andrade Universidade Federal de São João del Rei, Curso de Medicina – São João del Rei (MG), Brazil https://orcid.org/0009-0003-4684-7653
  • José Victor Ribeiro Silva Gomes Universidade Federal de São João del Rei, Curso de Medicina – São João del Rei (MG), Brazil https://orcid.org/0000-0003-2971-5715
  • Milena Henriques Fialho Universidade Federal de São João del Rei, Curso de Medicina – São João del Rei (MG), Brazil https://orcid.org/0009-0004-2665-4544
  • Laila Cristina Moreira Damázio Universidade Federal de São João del Rei, Curso de Medicina – São João del Rei (MG), Brazil https://orcid.org/0000-0001-7370-8892

DOI:

https://doi.org/10.5712/rbmfc21(48)4494

Keywords:

Primary Health Care, Longitudinal Studies, Framingham Heart Study, Cardiovascular Risk

Abstract

Introduction: Cardiovascular diseases (CVD) are multifactorial and represent the leading cause of morbidity and mortality in Brazil. Therefore, early identification and management of chronic conditions that act as risk factors are essential. Consequently, cardiovascular risk (CVR) stratifiers were developed to predict the probability of an individual experiencing cardiovascular events over a 10-year period. These tools are important in preventive, therapeutic, and epidemiological contexts, especially in Primary Health Care (PHC). Objective: To discuss the use of CVR stratifiers in PHC, comparing the laboratory-based and non-laboratory-based versions of predictive models (the Framingham Risk 90 Score for Cardiovascular Disease [FRS-CVD] and the HEARTS program calculator, respectively). Methods: This is a cross-sectional, exploratory, and epidemiological study conducted between March 2022 and June 2024, using a convenience sample. The sample included individuals aged 40 to 75 years, with hypertension and/or diabetes, without a history of cardiovascular events, and users of the municipality’s PHC services in São João del Rei (Minas Gerais, Brazil). Participants were required to have serum cholesterol tests performed within the past year. Data from 89 patients were collected and analyzed using Cohen’s kappa coefficient. Results: The sample was predominantly female (68.5%), aged over 60 years (50.5%), and nonsmokers (88.75%). A predominance of intermediate/high risk was observed in both scores, with the HEARTS calculator classifying more individuals as high risk. In contrast, only the FRS-CVD classified patients into very high- or critical-risk categories. The study found minimal agreement between the two tools when assessing the CVR of the same patient. Conclusions: CVR assessment is fundamental in PHC. Clinically, it guides preventive, therapeutic, and educational actions based on patient risk. At the population level, understanding CVR by region helps the formulation of more effective public health policies. However, discrepancies between laboratory and non-laboratory scores may hinder clinical decision-making. Therefore, it is essential to use tools appropriate to the context and develop instruments tailored to the clinical and epidemiological profile of the Brazilian population. This ensures better resource allocation in PHC and greater efficiency in cardiovascular care withing this setting.

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Published

2026-08-17

How to Cite

1.
Ruiz KOG, Amaral MS, Drumond RF, Ribeiro V de O, Andrade BP de O, Gomes JVRS, et al. Cardiovascular risk predictors in Primary Health Care: reflections on the adoption of non-laboratory models. Rev Bras Med Fam Comunidade [Internet]. 2026 Aug. 17 [cited 2026 Aug. 27];21(48):1-11. Available from: https://rbmfc.org.br/rbmfc/article/view/4494

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