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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.
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.
Abstract:
Background: People diagnosed with schizophrenia have a much reduced life expectancy compared to the general population, and a more than doubled risk of dying from cardiovascular disease (CVD). Existing CVD risk calculators can be used to detect people with an elevated predicted risk of CVD to inform interventions to reduce risk. Aims: This study aimed to compare four different risk calculators for 10-year predicted CVD risk in a sample of people with schizophrenia. Methods: Thirty participants with a diagnosis of schizophrenia spectrum disorders living within Greater Manchester, United Kingdom took part. Ten-year predicted cardiovascular risk scores were calculated using four different models: QRISK3, Framingham, PRIMROSE BMI, and PRIMROSE lipid. Risk estimates and classified risk categories were compared. Results: QRISK3 identified 11 (39%) as having >10% risk of a CV event within 10 years, 4 (14%) of whom exceeded 20%. The Framingham model identified 4 (14%) as exceeding 10%, none of whom exceeded 20%. PRIMROSE risk calculators identified no participants as having >10% risk of a CV event within 10 years. Pairwise concordance correlation coefficients between types of model ranged 0.22-0.77. Mean (± SD) age was 40 (± 10) years but QRISK3's mean "Heart age" was 58 (± 14) years. Conclusion: Risk calculators generate differing predicted CVD risk scores for patients with schizophrenia. Using one risk calculator might yield different recommended monitoring and treatment plans compared to another. Clinicians should therefore take into account other patient-related factors, such as patients' preferences and other underlying physical conditions when making treatment decisions.
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