Acute Coronary Syndromes Clinical Trial
Official title:
Cardiovascular Disease Research Using Linked Bespoke Studies and Electronic Records
The purpose of this study is to determine the extent to which South Asian ethnicity is both an etiologic and prognostic factor for coronary disease, and investigate factors influencing outcomes.
Coronary death rates among first-generation migrants from South Asia are higher than those
of the White majority population. Understanding the relative contribution of incidence and
case fatality to overall coronary death rates allows preventive interventions to be targeted
where they are likely to be more efficacious.
We seek to do this by meta-analysing new data with previously published work identified
after systematic review of published literature. We will combine studies spanning different
modes of presentation with coronary disease from 'normal' populations to suspected stable
angina to higher-risk patients diagnosed with ACS within a national registry [MINAP].
Initially we will undertake retrospective cohort studies using four new databases (The
aetiologic healthy population study, the Whitehall II Study; The chest pain clinic cohort
with new-onset chest pain; the coronary angiography cohort (ACRE) and an acute coronary
syndrome cohort, the Myocardial Infarction National Audit Project (MINAP).
We will define ethnicity according to the UK Office for National Statistics 1991 census
categories. All four cohorts are flagged for mortality with the Office for National
Statistics.
We will use a combined non-fatal outcome (non-fatal myocardial infarction and admission with
angina) in the aetiologic cohort, as well as risk of coronary death. We will assess risk of
coronary death in the chest pain clinic and coronary angiogram cohorts and all-cause death
in the acute coronary syndrome cohort as cause-specific death is unavailable. We will assess
prognosis for coronary death in Whitehall-II among those who had had typical angina at
baseline. We will perform Cox proportional hazards regression adjusted for age (as a
continuous variable), sex, hypertension, blood cholesterol, smoking and diabetes in all
cohorts. We will then stratify these analyses in our prognostic studies by age, diabetes,
ACS type, deprivation, smoking and secondary prevention management and formally examine
whether a statistical difference exists between the hazard ratio of strata with the
Bland-Altman two-tailed test of interaction.
We will combine results of new and older studies and calculate pooled odds ratios, weights,
and 95% confidence intervals using a random effects model. Heterogeneity will be examined
using the I2 statistic.
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Observational Model: Cohort, Time Perspective: Retrospective
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