A comparative study of cardiovascular risk stratification methods in type 1 diabetes mellitus patients

Fabiano Malard de Araujo1, Fábio Vasconcellos Comim2, Rodrigo N Lamounier2

  • 1Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil.

PubMed

Insights

The Steno T1 Risk Engine (ST1RE) shows weak agreement with the SBEM classification for predicting cardiovascular events in type 1 diabetes mellitus patients. ST1RE significantly underestimates cardiovascular risk compared to SBEM, especially in younger individuals.

Area of Science:

  • Endocrinology and Diabetes Research
  • Cardiovascular Risk Assessment
  • Public Health

Background:

  • Type 1 diabetes mellitus (T1DM) increases cardiovascular disease (CVD) risk.
  • Accurate CVD risk prediction is crucial for T1DM management.
  • Existing risk engines may require validation in diverse populations.

Purpose of the Study:

  • To evaluate the agreement between the Steno T1 Risk Engine (ST1RE) and the Brazilian Society for Endocrinology and Metabology (SBEM) classification for 10-year cardiovascular event risk in T1DM patients.
  • To identify discrepancies in risk stratification between the two models.

Main Methods:

  • Retrospective analysis of 92 T1DM patients without established CVD or dialysis-dependent CKD.
  • Clinical data including age, BMI, blood pressure, HbA1c, and microvascular complications were collected.
  • Comparison of cardiovascular risk scores generated by ST1RE and SBEM criteria.

Main Results:

  • A weak agreement was observed between ST1RE and SBEM classifications for 10-year cardiovascular risk.
  • SBEM classified 72.8% of patients as high-risk, while ST1RE classified only 15.2%.
  • Discrepancies were pronounced in younger patients (<35 years), with SBEM identifying 60% as high-risk versus 1.8% by ST1RE.

Conclusions:

  • The ST1RE and SBEM classifications show low agreement in predicting cardiovascular events in T1DM patients.
  • ST1RE appears to underestimate cardiovascular risk compared to SBEM, particularly in younger T1DM individuals.
  • Further research is needed to refine CVD risk prediction tools for T1DM.

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