Heart 2009;95:1128-1129
Editorials
Point of care testing in acute coronary syndromes: when and how?
Division of Biostatistics, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, UK
Dr C P Gale, Division of Biostatistics, Centre for Epidemiology and Biostatistics, Room 8.001, Level 8, Worsley Building, Clarendon Way, University of Leeds, Leeds LS2 9JT, UK; c.p.gale@leeds.ac.uk
| The first 150 words of the full text of this article appear below. |
Despite advances in their treatment, acute coronary syndromes (ACS) continue to carry significant mortality and morbidity.1 Identifying higher-risk patients, and hence selecting those who would most benefit from more aggressive treatments, forms an integral approach to ACS management and outcome.1 2 Such stratification of patients on admission (near-point testing) is based on patient-specific variables which have been shown in randomised controlled trials (RCTs) and observational databases to be associated with mortality. The logistic regression of these variables on clinical outcomes to generate scores of risk has sought to help doctors identify patients for whom tailored treatment would offer a reduction in mortality risk.
The past few years have seen a palpable increase in the number of ACS risk scores.3–10 This is predominantly because of the wealth of data recorded by RCT and observational datasets, but also because of the relative ease by which simple risk modelling can now be undertaken using
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