G Michael Allan1, Scott Garrison, James McCormack. 1. aEvidence-Based Medicine, Department of Family Medicine, University of Alberta, Alberta bFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Abstract
PURPOSE OF REVIEW: The cardiovascular benefit of many preventive interventions (like statins) is strongly dependent on the baseline cardiovascular risk of the patient. Many lipid and vascular primary prevention guidelines advocate for the use of cardiovascular risk calculators. RECENT FINDINGS: There are over 100 cardiovascular risk prediction models, and some of these models have spawned scores of calculators. Only about 25 of these models/calculators have been externally validated. The ability to identify who will have events frequently varies little (<5%) between models. However, disagreement between risk calculators is common with one in three paired comparisons disagreeing on risk category. In part, this disagreement is because calculators vary according to the database they are derived from, choice of clinical endpoints and risk interval duration upon which the estimate is based. Additional risk factors do little to improve the basic risk predictions performance, except perhaps coronary artery calcium which still requires further study before regular use. SUMMARY: The estimates provided by cardiovascular risk calculators are ballpark approximations and have a margin of error. Physicians should use models derived from, or calibrated for, populations similar to theirs and understand the endpoints, duration, and special features of their selected calculator.
PURPOSE OF REVIEW: The cardiovascular benefit of many preventive interventions (like statins) is strongly dependent on the baseline cardiovascular risk of the patient. Many lipid and vascular primary prevention guidelines advocate for the use of cardiovascular risk calculators. RECENT FINDINGS: There are over 100 cardiovascular risk prediction models, and some of these models have spawned scores of calculators. Only about 25 of these models/calculators have been externally validated. The ability to identify who will have events frequently varies little (<5%) between models. However, disagreement between risk calculators is common with one in three paired comparisons disagreeing on risk category. In part, this disagreement is because calculators vary according to the database they are derived from, choice of clinical endpoints and risk interval duration upon which the estimate is based. Additional risk factors do little to improve the basic risk predictions performance, except perhaps coronary artery calcium which still requires further study before regular use. SUMMARY: The estimates provided by cardiovascular risk calculators are ballpark approximations and have a margin of error. Physicians should use models derived from, or calibrated for, populations similar to theirs and understand the endpoints, duration, and special features of their selected calculator.
Authors: G Michael Allan; Adrienne J Lindblad; Ann Comeau; John Coppola; Brianne Hudson; Marco Mannarino; Cindy McMinis; Raj Padwal; Christine Schelstraete; Kelly Zarnke; Scott Garrison; Candra Cotton; Christina Korownyk; James McCormack; Sharon Nickel; Michael R Kolber Journal: Can Fam Physician Date: 2015-10 Impact factor: 3.275
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