Investigating the Agreement Between Cardiovascular Disease Risk Calculators Among People Diagnosed With Schizophrenia

Alexandra Berry1, Richard J Drake1,2, Roger T Webb1

  • 1Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre (MAHSC), University of Manchester, Manchester, United Kingdom.

Frontiers in Psychiatry
|January 12, 2019
PubMed

Insights

Cardiovascular disease (CVD) risk calculators vary significantly when assessing individuals with schizophrenia. Different tools yield different risk scores, impacting treatment decisions for this high-risk population.

Area of Science:

  • Clinical Medicine
  • Psychiatry
  • Cardiology

Background:

  • Individuals with schizophrenia face significantly reduced life expectancy and a doubled risk of cardiovascular disease (CVD).
  • Cardiovascular disease risk calculators are crucial for identifying high-risk individuals and guiding interventions.
  • Schizophrenia poses unique challenges in accurately assessing CVD risk.

Purpose of the Study:

  • To compare the performance of four distinct CVD risk calculators in a cohort of schizophrenia patients.
  • To evaluate the discrepancies in 10-year predicted CVD risk scores across different models.

Main Methods:

  • A sample of 30 individuals diagnosed with schizophrenia spectrum disorders was recruited from Greater Manchester, UK.
  • Ten-year predicted CVD risk was calculated using QRISK3, Framingham, PRIMROSE BMI, and PRIMROSE lipid models.
  • Risk estimates and classifications were compared between the four models.

Main Results:

  • QRISK3 identified 39% of participants as having >10% 10-year CVD risk, with 14% exceeding 20%.
  • The Framingham model identified 14% with >10% risk, while PRIMROSE models identified no participants above this threshold.
  • Significant variability was observed in risk predictions, with concordance correlation coefficients ranging from 0.22 to 0.77. QRISK3 indicated a mean "Heart age" of 58 years for participants averaging 40 years.

Conclusions:

  • Existing CVD risk calculators produce divergent risk predictions for schizophrenia patients.
  • The choice of risk calculator can lead to different clinical management and treatment recommendations.
  • Clinicians must consider patient-specific factors, including preferences and comorbidities, alongside calculator outputs for informed decision-making.

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