Journal of clinical epidemiology · 2008
Predictive values of acute coronary syndrome discharge diagnoses differed in the Danish National Patient Registry.
СтатьяПоддержка исследования: вне правительства СШАВалидационное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Joensen Albert Marni, Jensen Majken K, Overvad Kim, Dethlefsen Claus, Schmidt Erik, Rasmussen Lars, Tjønneland Anne, Johnsen Søren
Аннотация
OBJECTIVE: To investigate the predictive value of acute coronary syndrome (ACS) diagnoses, including unstable angina pectoris, myocardial infarction, and cardiac arrest, in the Danish National Patient Registry.
STUDY DESIGN AND SETTING: We identified all first-time ACS diagnoses in the Danish National Patient Registry among participants in the Danish cohort study "Diet, Cancer and Health" through the end of 2003. We retrieved and reviewed medical records based on current European Society of Cardiology criteria for ACS.
RESULTS: We reviewed hospital medical records of 1,577 out of 1,654 patients (95.3%) who had been hospitalized with a first-time ACS diagnosis. The overall positive predictive value for ACS was 65.5% (95% confidence interval [CI]=63.1-67.9%). Stratification by sub-diagnosis and hospital department produced significantly higher positive predictive values for myocardial infarction diagnoses (81.9%; 95% CI=79.5-84.2%) and among patients who received an ACS diagnosis in a ward (80.1%; 95% CI=77.7-82.3%).
CONCLUSION: The ACS diagnoses contained in hospital discharge registries should be used with caution. If validation is not possible, restricting analyses to patients with myocardial infarction and/or patients discharged from wards might be a useful alternative.
STUDY DESIGN AND SETTING: We identified all first-time ACS diagnoses in the Danish National Patient Registry among participants in the Danish cohort study "Diet, Cancer and Health" through the end of 2003. We retrieved and reviewed medical records based on current European Society of Cardiology criteria for ACS.
RESULTS: We reviewed hospital medical records of 1,577 out of 1,654 patients (95.3%) who had been hospitalized with a first-time ACS diagnosis. The overall positive predictive value for ACS was 65.5% (95% confidence interval [CI]=63.1-67.9%). Stratification by sub-diagnosis and hospital department produced significantly higher positive predictive values for myocardial infarction diagnoses (81.9%; 95% CI=79.5-84.2%) and among patients who received an ACS diagnosis in a ward (80.1%; 95% CI=77.7-82.3%).
CONCLUSION: The ACS diagnoses contained in hospital discharge registries should be used with caution. If validation is not possible, restricting analyses to patients with myocardial infarction and/or patients discharged from wards might be a useful alternative.