Literature DB >> 18468989

Impact of new biomarkers of myocardial damage on trends in myocardial infarction hospital admission rates from population-based administrative data.

F M Sanfilippo1, M S T Hobbs, M W Knuiman, J Hung.   

Abstract

Use of troponin testing in the diagnosis of myocardial infarction substantially increases the number of cases diagnosed as myocardial infarction among suspected cases in comparison with previous criteria. However, the impact of troponin testing on rates reported in national statistics that use routinely collected hospital morbidity data is uncertain. The authors developed Poisson regression models to estimate the effect of troponin testing on long-term trends in hospital admission rates in Perth, Western Australia, from 1980 to 2004. Troponin tests were used for 10.5% of patients with suspected myocardial infarction in 1996, rising rapidly to more than 90% of patients from 2001 onward. Fitted models that assumed a continuing linear decline estimated that 100% use of troponin testing in cases of suspected myocardial infarction would lead to an apparent increase in hospital admission rates of 42% (95% confidence interval (CI): 28, 56) in men and 21% (95% CI: 4, 41) in women as compared with rates that would be expected if previous linear trends had continued. Smaller effects of 30% (95% CI: 14, 48) in men and -2% (95% CI: -21, 20) in women were found in fitted models that assumed an underlying attenuating trend in the rates. Similarly constructed logistic regression trend models found no significant effect of troponin testing on trends in 28-day case-fatality.

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Year:  2008        PMID: 18468989     DOI: 10.1093/aje/kwn107

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  9 in total

1.  The effect of changing diagnostic algorithms on acute myocardial infarction rates.

Authors:  Russell V Luepker; Sue Duval; David R Jacobs; Lindsay G Smith; Alan K Berger
Journal:  Ann Epidemiol       Date:  2011-11       Impact factor: 3.797

2.  Identification of acute myocardial infarction from electronic healthcare records using different disease coding systems: a validation study in three European countries.

Authors:  Preciosa M Coloma; Vera E Valkhoff; Giampiero Mazzaglia; Malene Schou Nielsson; Lars Pedersen; Mariam Molokhia; Mees Mosseveld; Paolo Morabito; Martijn J Schuemie; Johan van der Lei; Miriam Sturkenboom; Gianluca Trifirò
Journal:  BMJ Open       Date:  2013-06-20       Impact factor: 2.692

3.  Determinants of the decline in mortality from acute myocardial infarction in England between 2002 and 2010: linked national database study.

Authors:  Kate Smolina; F Lucy Wright; Mike Rayner; Michael J Goldacre
Journal:  BMJ       Date:  2012-01-25

4.  Can we monitor heart attack in the troponin era? Evidence from a population-based cohort study.

Authors:  Frank M Sanfilippo; Michael S T Hobbs; Matthew W Knuiman; Stephen C Ridout; Pamela J Bradshaw; Judith C Finn; Jamie M Rankin; Peter C Sprivulis; Joseph Hung
Journal:  BMC Cardiovasc Disord       Date:  2011-06-24       Impact factor: 2.298

5.  Trends in hospitalized acute myocardial infarction patients with heart failure in Korea at 1998 and 2008.

Authors:  Jong-Chan Youn; Suk Min Seo; Hye Sun Lee; Jaewon Oh; Min Seok Kim; Jin-Oh Choi; Hae-Young Lee; Hyun-Jai Cho; Seok-Min Kang; Jae Joong Kim; Sang Hong Baek; Eun-Seok Jeon; Hyun-Young Park; Myeong-Chan Cho; Byung-Hee Oh
Journal:  J Korean Med Sci       Date:  2014-04-01       Impact factor: 2.153

6.  Is the incidence of heart attack still decreasing in Australia? Developing reliable methods for monitoring trends in myocardial infarction and coronary heart disease (AUS-MOCHA): a study protocol.

Authors:  Lee Nedkoff; Matthew Knuiman; Michael S T Hobbs; Joseph Hung; Sushma Mathur; John Beilby; Anna Reynolds; Tom G Briffa; Derrick Lopez; Frank M Sanfilippo
Journal:  BMJ Open       Date:  2016-08-24       Impact factor: 2.692

7.  Comparative trends in coronary heart disease subgroup hospitalisation rates in England and Australia.

Authors:  Lee Nedkoff; Raphael Goldacre; Melanie Greenland; Michael J Goldacre; Derrick Lopez; Nick Hall; Matthew Knuiman; Michael Hobbs; Frank M Sanfilippo; F Lucy Wright
Journal:  Heart       Date:  2019-04-04       Impact factor: 5.994

8.  Using a Markov simulation model to assess the impact of changing trends in coronary heart disease incidence on requirements for coronary artery revascularization procedures in Western Australia.

Authors:  Haider R Mannan; Matthew Knuiman; Michael Hobbs
Journal:  BMC Cardiovasc Disord       Date:  2010-01-06       Impact factor: 2.298

9.  Trends from 1996 to 2007 in incidence and mortality outcomes of heart failure after acute myocardial infarction: a population-based study of 20,812 patients with first acute myocardial infarction in Western Australia.

Authors:  Joseph Hung; Tiew-Hwa Katherine Teng; Judith Finn; Matthew Knuiman; Thomas Briffa; Simon Stewart; Frank M Sanfilippo; Steven Ridout; Michael Hobbs
Journal:  J Am Heart Assoc       Date:  2013-10-08       Impact factor: 5.501

  9 in total

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