Troponin I and cardiovascular risk prediction in the general population: the BiomarCaRE consortium

AIMS: Our aims were to evaluate the distribution of troponin I concentrations in population cohorts across Europe, to characterize the association with cardiovascular outcomes, to determine the predictive value beyond the variables used in the ESC SCORE, to test a potentially clinically relevant cut-off value, and to evaluate the improved eligibility for statin therapy based on elevated troponin I concentrations retrospectively.

METHODS AND RESULTS: Based on the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) project, we analysed individual level data from 10 prospective population-based studies including 74 738 participants. We investigated the value of adding troponin I levels to conventional risk factors for prediction of cardiovascular disease by calculating measures of discrimination (C-index) and net reclassification improvement (NRI). We further tested the clinical implication of statin therapy based on troponin concentration in 12 956 individuals free of cardiovascular disease in the JUPITER study. Troponin I remained an independent predictor with a hazard ratio of 1.37 for cardiovascular mortality, 1.23 for cardiovascular disease, and 1.24 for total mortality. The addition of troponin I information to a prognostic model for cardiovascular death constructed of ESC SCORE variables increased the C-index discrimination measure by 0.007 and yielded an NRI of 0.048, whereas the addition to prognostic models for cardiovascular disease and total mortality led to lesser C-index discrimination and NRI increment. In individuals above 6 ng/L of troponin I, a concentration near the upper quintile in BiomarCaRE (5.9 ng/L) and JUPITER (5.8 ng/L), rosuvastatin therapy resulted in higher absolute risk reduction compared with individuals <6 ng/L of troponin I, whereas the relative risk reduction was similar.

CONCLUSION: In individuals free of cardiovascular disease, the addition of troponin I to variables of established risk score improves prediction of cardiovascular death and cardiovascular disease.

Routledge International Handbook of Rural Studies.:Understanding the association between rural ethnicity and inequalities

Rural areas are facing demographic transformation. Some localities have experienced significant levels of (internal and international) immigration in recent decades. In other rural places, a shifting minority: majority ratio (arising mainly from increased minority fertility and decreases in the majority population) is altering the rural landscape. It is this context of increasingly diverse rural societies that frames this chapter. It begins by examining inequalities arising from ethnicity in a rural context. The review proceeds by identifying how different factors, including recent patterns of international migration and historical legacies of ethnic diversity, intertwine to produce multi-cultural rural areas. First of all an overview of the significance of the ‘ethnic’ label is presented, recognizing its limitations and also its usefulness. Having established this context the chapter proceeds by highlighting the way in which rural ethnic inequalities are measured and also the particular challenges of measuring rural poverty. The processes that produce inequalities among ethnic groups are examined, with particular attention on migration and space and place, but mindful of historical legacies along with economic transformations and associated recent migration patterns. Finally, the conclusion of the chapter highlights gaps and identifies areas for future research agendas.