Use of clinical risk stratification in non-ST elevation acute coronary syndromes: an analysis from the CONCORDANCE registry

Rong Bing, Shaun Goodmena, Andrew Yan, Keith Fox, Chris Gale, Karice Hyun, Mario D'Souza, Pratap Shetty, John Atherton, Chris Hammett, Derek Chew, David Brieger

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Aims There is little information on clinical risk stratification (CRS) compared to objective risk tools in patients with non-ST elevation acute coronary syndromes (NSTEACS). We quantified CRS use, its agreement with Global Registry of Acute Coronary Events (GRACE) risk scores (GRS), and association with outcomes. Methods and results Data were extracted from the Australian Cooperative National Registry of Acute Coronary Care, Guideline Adherence and Clinical Events (CONCORDANCE), a multi-centre NSTEACS registry. From February 2009 to December 2015, 4512 patients from 41 sites were included. Predictors of CRS use and association with treatment were identified, CRS-GRS agreement determined and prediction of in-hospital and 6-month mortality compared. Clinical risk stratification was documented in 21% of patients. Family history of coronary disease was the only independent predictor of CRS use [odds ratio (OR) 1.23, 95% confidence interval (95% CI) 1.04-1.45]; electrocardiogram changes (OR 0.8, 95% CI 0.68-0.96), elevated biomarkers (OR 0.59, 95% CI 0.48-0.73), dementia (OR 0.56, 95% CI 0.36-0.84), and an urban hospital setting (OR 0.41, 95% CI 0.19-0.89) were independent negative predictors. A treatment-risk paradox was observed: high CRS risk patients received less anticoagulation (79% vs. 88%, P = 0.001) and angiography (83% vs. 71%, P < 0.001). CRS-GRS agreement was poor (kappa coefficient = 0.034) and CRS less predictive for in-hospital (c-statistic 0.54 vs. 0.87, P < 0.001) and 6-month (c-statistic 0.55 vs. 0.74, P < 0.01) mortality. Conclusion In Australia, CRS does not guide treatment, correlate with GRS or predict outcomes. This study suggests the need for greater awareness and integration of validated tools such as the GRACE score to optimally direct treatment and potentially improve outcomes.

Original languageEnglish
Pages (from-to)309-317
Number of pages9
JournalEuropean Heart Journal: Quality of CAre & Clinical Outcomes
Volume4
Issue number4
Early online date2018
DOIs
Publication statusPublished - 1 Oct 2018

Keywords

  • Clinical risk stratification
  • GRACE risk score
  • Non-ST elevation acute coronary syndrome

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