Literature DB >> 11759116

Epidemiological consequences of introducing new biochemical markers for detection of acute myocardial infarction.

T Graven1, O Krüger, G Brønstad.   

Abstract

OBJECTIVE: To evaluate how the use of different biochemical markers of myocardial injury affects the recorded numbers of cases of diagnosed acute myocardial infarction (AMI) and unstable angina pectoris (UAP) and also the observed in-hospital mortality of AMI.
DESIGN: 442 patients admitted with suspected acute coronary syndrome (ACS) were studied. Based on the World Health Organization (WHO) criteria, the patients were classified into five categories: acute Q-wave myocardial infarction (QMI): acute non-Q-wave myocardial infarction (NQMI); UAP; stable angina pectoris; and chest pain of non-cardiac origin.
RESULTS: Using total creatine kinase (tCK) as the "gold standard" for diagnosis, we found 172 AMI. 100 UAP and 170 with other diagnoses. If we used CK-MB (>6 microg/L) or cTnl (> 1 microg/L) for diagnosing AMI, the numbers of AMI increased significantly by 50 (29%) and 64 (37%), respectively. Using tCk, CK-MB or cTnl for diagnosing AMI, the observed in-hospital mortality was 14%, 11% and 10%, respectively. The group of patients with elevated cTnl but negative tCK had similar long-term survival as the group of patients with cTnI >30 microg/L, comprising 95% of the patients with the diagnosis AMI based on tCK.
CONCLUSION: The introduction of new biochemical markers for detection of AMI may lead to significant changes in the recorded incidence and in-hospital mortality of AMI. New biochemical markers of myocardial injury must be validated against the traditional markers as they are introduced into clinical practice by the new diagnostic criteria.

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Year:  2001        PMID: 11759116     DOI: 10.1080/14017430152581332

Source DB:  PubMed          Journal:  Scand Cardiovasc J        ISSN: 1401-7431            Impact factor:   1.589


  1 in total

1.  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

  1 in total

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