Barr ELM

Barzi F

Rohit A

Cunningham J

Tatipata S

McDermott R

Hoy WE

Wang Z

Bradshaw PJ

Dimer L

Thompson PL

Brimblecombe JK

O'Dea K

Connors, Christine

Burgess, Paul

Guthridge S

Brown A

Cass A

Shaw JE

Maple-Brown LJ

2020-08-01

OBJECTIVE: To assess the performance of cardiovascular disease (CVD) risk equations in Indigenous Australians. METHODS: We conducted an individual participant meta-analysis using longitudinal data of 3618 Indigenous Australians (55% women) aged 30-74 years without CVD from population-based cohorts of the Cardiovascular Risk in IndigenouS People(CRISP) consortium. Predicted risk was calculated using: 1991 and 2008 Framingham Heart Study (FHS), the Pooled Cohorts (PC), GloboRisk and the Central Australian Rural Practitioners Association (CARPA) modification of the FHS equation. Calibration, discrimination and diagnostic accuracy were evaluated. Risks were calculated with and without the use of clinical criteria to identify high-risk individuals. RESULTS: When applied without clinical criteria, all equations, except the CARPA-adjusted FHS, underestimated CVD risk (range of percentage difference between observed and predicted CVD risks: -55% to -14%), with underestimation greater in women (-63% to -13%) than men (-47% to -18%) and in younger age groups. Discrimination ranged from 0.66 to 0.72. The CARPA-adjusted FHS equation showed good calibration but overestimated risk in younger people, those without diabetes and those not at high clinical risk. When clinical criteria were used with risk equations, the CARPA-adjusted FHS algorithm scored 64% of those who had CVD events as high risk; corresponding figures for the 1991-FHS were 58% and were 87% for the PC equation for non-Hispanic whites. However, specificity fell. CONCLUSION: The CARPA-adjusted FHS CVD risk equation and clinical criteria performed the best, achieving higher combined sensitivity and specificity than other equations. However, future research should investigate whether modifications to this algorithm combination might lead to improved risk prediction.

Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research Charles Darwin University, Casuarina, Northern Territory, Australia elizabeth.barr@menzies.edu.au.

Clinical and Population Health, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.

Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research Charles Darwin University, Casuarina, Northern Territory, Australia.

Centre for Chronic Disease Prevention, James Cook University - Cairns Campus, Cairns, Queensland, Australia.

School of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Harry Perkins Institute of Medical Research, The University of Western Australia, Perth, Western Australia, Australia.

National Heart Foundation, Perth, Western Australia, Australia.

Nutrition Dietetics and Food, Monash University, Melbourne, Victoria, Australia.

School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia.

Primary Health Care Top End Health Services, Northern Territory Department of Health, Casuarina, Northern Territory, Australia.

Northern Territory Department of Health, Casuarina, Northern Territory, Australia.

Wardliparingga Aboriginal Research Unit, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.

Department of Medicine - Aboriginal Health, University of Adelaide, Adelaide, South Australia, Australia.

Heart . 2020 Aug;106(16):1252-1260. doi: 10.1136/heartjnl-2019-315889. Epub 2020 Jan 16.

0000-0003-4284-1716

0000-0003-2560-2537

https://pubmed.ncbi.nlm.nih.gov/31949024/?otool=iaurydwlib

https://hdl.handle.net/10137/8578

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Performance of cardiovascular risk prediction equations in Indigenous Australians.

Journal Article

Publication