Better Indigenous Risk stratification for Cardiac Health study (BIRCH) protocol.pdf (530.17 kB)
Better Indigenous Risk stratification for Cardiac Health study (BIRCH) protocol: rationale and design of a cross-sectional and prospective cohort study to identify novel cardiovascular risk indicators in Aboriginal Australian and Torres Strait Islander adults
journal contributionposted on 2021-06-16, 01:53 authored by Marc GW Rémond, Simon Stewart, Melinda CarringtonMelinda Carrington, Thomas MarwickThomas Marwick, Bronwyn A Kingwell, Peter Meikle, Darren O’Brien, Nathaniel S Marshall, Graeme P Maguire
Background: Of the estimated 10-11 year life expectancy gap between Indigenous (Aboriginal and Torres Strait Islander people) and non-Indigenous Australians, approximately one quarter is attributable to cardiovascular disease (CVD). Risk prediction of CVD is imperfect, but particularly limited for Indigenous Australians. The BIRCH (Better Indigenous Risk stratification for Cardiac Health) project aims to identify and assess existing and novel markers of early disease and risk in Indigenous Australians to optimise health outcomes in this disadvantaged population. It further aims to determine whether these markers are relevant in non-Indigenous Australians. Methods/design: BIRCH is a cross-sectional and prospective cohort study of Indigenous and non-Indigenous Australian adults (≥ 18 years) living in remote, regional and urban locations. Participants will be assessed for CVD risk factors, left ventricular mass and strain via echocardiography, sleep disordered breathing and quality via home-based polysomnography or actigraphy respectively, and plasma lipidomic profiles via mass spectrometry. Outcome data will comprise CVD events and death over a period of five years. Discussion: Results of BIRCH may increase understanding regarding the factors underlying the increased burden of CVD in Indigenous Australians in this setting. Further, it may identify novel markers of early disease and risk to inform the development of more accurate prediction equations. Better identification of at-risk individuals will promote more effective primary and secondary preventive initiatives to reduce Indigenous Australian health disadvantage.
JournalBMC Cardiovascular Disorders
Pagination9p. (p. 1-9)
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Science & TechnologyLife Sciences & BiomedicineCardiac & Cardiovascular SystemsCardiovascular System & CardiologyCardiovascular diseaseRisk stratificationAboriginalTorres Strait islanderIndigenousEchocardiographyLipidomicsSleepCORONARY-HEART-DISEASELEFT-VENTRICULAR MASSOBSTRUCTIVE SLEEP-APNEAPREDICTIONASSOCIATIONLIPIDOMICSMORTALITYFAILUREDYSFUNCTIONPREVALENCEHumansSleep Apnea SyndromesCardiovascular DiseasesVentricular Dysfunction, LeftLipidsPolysomnographyPrognosisRisk AssessmentRisk FactorsProspective StudiesCross-Sectional StudiesResearch DesignTime FactorsOceanic Ancestry GroupAustraliaDyslipidemiasMass SpectrometryHealth Status DisparitiesActigraphyCardiovascular System & Hematology