The impact of New Zealand CVD risk chart adjustments for family history and ethnicity on eligibility for treatment (PREDICT CVD-5)
NZ Literature Abstract
posted by Research Admin on 26 May 2010
Authors
Susan Wells
Andrew J. Kerr
Joanna Broad
Tania Riddell
Timothy Kenealy
Rod T. Jackson
Year of Publication
2007
Source
The New Zealand Medical Journal, 120(1261)
Publication Type
Journal article (peer reviewed)
Publication Status
Completed
Abstract
Current New Zealand cardiovascular (CVD) risk management guidelines advocate targeting treatment to patients with a high 5-year CVD risk assessed using a calculator derived from the Framingham Heart Study. For some high-risk population subgroups, a 5% upward adjustment to their calculated 5-year CVD risk is recommended. The authors estimated the impact of these adjustments on eligibility for treatment in a primary care setting. Between 2002 and 2006, 23,709 patients visiting their primary care provider in Auckland had CVD risk assessments as part of an opportunistic screening programme using PREDICT, a web-based clinical decision support system. The authors calculated their baseline CVD risk with and without the 5% upward adjustment for family history of premature ischaemic CVD or for being of Māori, Pacific or Indian subcontinent ethnicity. A baseline CVD risk could be calculated for 23,693 (99.9%) patients of whom 90% were between ages 35 and 74 years. Unadjusted risk scores classified the majority (70%) below the 10% 5-year risk threshold for specific individualised treatment. A further 11% were between 10 to 15% risk (recommended to receive individualised lifestyle counselling in general practice) and 19% had a greater than 15% risk (recommended for drug treatment and referral to a dietician in addition to individualised lifestyle counselling). Over a quarter of patients were recorded as having a premature family history of CVD; 21% were Māori, Pacific, or Indian subcontinent and thus met the criteria for a single 5% upward adjustment. This increased the number of people eligible for drug treatment, intensive lifestyle management, and dietician referral by approximately 20% and individualised lifestyle assessment and counselling by 50%. The authors conclude that the upward adjustments to the calculated CVD risk recommended by the New Zealand CVD risk management guidelines has the potential to substantially increase resource requirements for CVD preventive services in primary care. Moreover the true impact is likely to be underestimated given other adjustment factors related to diabetes risk that were not available in this dataset. Given the impact of these relatively small changes to the CVD risk calculator, locally developed and validated risk equations are urgently needed.
Type of Study
Quantitative, Analysis
How to Access
Available free online at http://www.nzma.org.nz/journal/120-1261/2712/
