Can we monitor heart attack in the troponin era: evidence from a population-based cohort study
نویسندگان
چکیده
BACKGROUND Troponins (highly sensitive biomarkers of myocardial damage) increase counts of myocardial infarction (MI) in clinical practice, but their impact on trends in admission rates for MI in National statistics is uncertain. METHODS Cases coded as MI or other cardiac diagnoses in the Hospital Morbidity Data Collection (MI-HMDC) in Western Australia in 1998 and 2003 were classified using revised criteria for MI developed by an International panel convened by the American Heart Association (AHA criteria) using information on symptoms, ECGs and cardiac biomarkers abstracted from samples of medical notes. Age-sex standardized rates of MI-HMDC were compared with rates of MI based on AHA criteria including troponins (MI-AHA) or traditional biomarkers only (MI-AHAck). RESULTS Between 1998 and 2003, rates of MI-HMDC decreased by 3.5% whereas rates of MI-AHA increased by 17%, a difference largely due to increased false-negative cases in the HMDC associated with marked increased use of troponin tests in cardiac admissions generally, and progressively lower test thresholds. In contrast, rates of MI-AHAck declined by 18%. CONCLUSIONS Increasing misclassification of MI-AHA by the HMDC may be due to reluctance by clinicians to diagnose MI based on relatively small increases in troponin levels. These influences are likely to continue. Monitoring MI using AHA criteria will require calibration of commercially available troponin tests and agreement on lower diagnostic thresholds for epidemiological studies. Declining rates of MI-AHA ck are consistent with long-standing trends in MI in Western Australia, suggesting that neither MI-HMDC nor MI-AHA reflect the true underlying population trends in MI.
منابع مشابه
مروری بر مطالعات کوهورت مبتنی بر جمعیت در ایران
Background and purpose: Cohort studies are one of the best types of observational studies in investigating the causal relationship, diseases etiology, and determining the incidence and natural history of diseases. In recent decades cohort studies played a major role in identification of environmental, cardiovascular and cancers risk factors. Considering the important role of cohort studies in p...
متن کاملAnalysis of the relation between coping ways with stress and Cardiac Biomarker Troponin I in coronary heart disease patients
Introduction: Coping ways with stress in coronary heart disease patients can lead to significant changes in levels of Cardiac Biomarker Troponin I, but researchers had not explored it empirically. So, the main objective of this study was to identify the relationship between coping ways with stress and Cardiac Biomarker Troponin I and also, finding coping ways that predict changes in the concent...
متن کاملStudy of the Association between Congenital Heart Defects and Neuroblastoma in Abdominal Sonography
Abstract Background A higher prevalence of congenital heart defects (CHD) in neuroblastoma patients in general population is reported in some publications, however, some authors did not find such an association. The evidence for this relation comes from the observation that, the neural crest cells accompany to the development of the heart and neuroblastoma as well. Materials and Methods We...
متن کاملنارسایی قلب، پیامد و فاکتورهای مرتبط و پیش بینی کننده آن در ایران
Background and purpose: Heart failure (HF) is a serious issue concerning public health in all countries. Assessment and monitoring of mortality and influencing factors are of great importance in HF treatment programs. This study was conducted to determine the incidence of HF and the associated factors in Iran. Materials and methods: In this study, we did two main, independent analyses. One was...
متن کاملDevelopment of a Model for Predicting Heart Attack Based on Fog Computing
Introduction: Various studies have demonstrated the benefits of using distributed fog computing for the Internet of Things (IoT). Fog computing has brought cloud computing capabilities such as computing, storage, and processing closer to IoT nodes. The new model of fog and edge computing, compared to cloud computing, provides less latency for data processing by bringing resources closer to user...
متن کامل