Predictive values of acute coronary syndrome discharge diagnoses differed in the Danish National Patient Registry
AM Joensen, MK Jensen, K Overvad… - Journal of clinical …, 2009 - Elsevier
Journal of clinical epidemiology, 2009•Elsevier
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 …
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 …
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 subdiagnosis 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.
Elsevier