Literature DB >> 23002253

Evaluation of the NICE mini-GRACE risk scores for acute myocardial infarction using the Myocardial Ischaemia National Audit Project (MINAP) 2003-2009: National Institute for Cardiovascular Outcomes Research (NICOR).

Alexander D Simms1, Stephanie Reynolds, Karen Pieper, Paul D Baxter, Brian A Cattle, Phillip D Batin, John I Wilson, John E Deanfield, Robert M West, Keith A A Fox, Alistair S Hall, Christopher P Gale.   

Abstract

OBJECTIVE: To evaluate the performance of the National Institute for Health and Clinical Excellence (NICE) mini-Global Registry of Acute Coronary Events (GRACE) (MG) and adjusted mini-GRACE (AMG) risk scores.
DESIGN: Retrospective observational study.
SETTING: 215 acute hospitals in England and Wales. PATIENTS: 137 084 patients discharged from hospital with a diagnosis of acute myocardial infarction (AMI) between 2003 and 2009, as recorded in the Myocardial Ischaemia National Audit Project (MINAP). MAIN OUTCOME MEASURES: Model performance indices of calibration accuracy, discriminative and explanatory performance, including net reclassification index (NRI) and integrated discrimination improvement.
RESULTS: Of 495 263 index patients hospitalised with AMI, there were 53 196 ST elevation myocardial infarction and 83 888 non-ST elevation myocardial infarction (NSTEMI) (27.7%) cases with complete data for all AMG variables. For AMI, AMG calibration was better than MG calibration (Hosmer-Lemeshow goodness of fit test: p=0.33 vs p<0.05). MG and AMG predictive accuracy and discriminative ability were good (Brier score: 0.10 vs 0.09; C statistic: 0.82 and 0.84, respectively). The NRI of AMG over MG was 8.1% (p<0.05). Model performance was reduced in patients with NSTEMI, chronic heart failure, chronic renal failure and in patients aged ≥85 years.
CONCLUSIONS: The AMG and MG risk scores, utilised by NICE, demonstrated good performance across a range of indices using MINAP data, but performed less well in higher risk subgroups. Although indices were better for AMG, its application may be constrained by missing predictors.

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Year:  2012        PMID: 23002253     DOI: 10.1136/heartjnl-2012-302632

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  21 in total

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Authors:  S Siregar; M E Pouw; K G M Moons; M I M Versteegh; M L Bots; Y van der Graaf; C J Kalkman; L A van Herwerden; R H H Groenwold
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5.  Should patients with acute coronary disease be stratified for management according to their risk? Derivation, external validation and outcomes using the updated GRACE risk score.

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6.  Geographic variation in the treatment of non-ST-segment myocardial infarction in the English National Health Service: a cohort study.

Authors:  T B Dondo; M Hall; A D Timmis; A T Yan; P D Batin; G Oliver; O A Alabas; P Norman; J E Deanfield; K Bloor; H Hemingway; C P Gale
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Review 8.  Risk stratification in non-ST elevation acute coronary syndromes: Risk scores, biomarkers and clinical judgment.

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10.  Effects of prehospital 12-lead ECG on processes of care and mortality in acute coronary syndrome: a linked cohort study from the Myocardial Ischaemia National Audit Project.

Authors:  Tom Quinn; Sigurd Johnsen; Chris P Gale; Helen Snooks; Scott McLean; Malcolm Woollard; Clive Weston
Journal:  Heart       Date:  2014-04-14       Impact factor: 5.994

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