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Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes

PURPOSE: To validate diagnostic codes for hypertrophic cardiomyopathy (HCM), analyze misclassfications, and estimate the prevalence of HCM in an unselected Swedish regional cohort. PATIENTS AND METHODS: Using the hospitals’ electronic medical records (used for the Swedish National Patient Register),...

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Autores principales: Magnusson, Peter, Palm, Andreas, Branden, Eva, Mörner, Stellan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557115/
https://www.ncbi.nlm.nih.gov/pubmed/28848363
http://dx.doi.org/10.2147/CLEP.S139300
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author Magnusson, Peter
Palm, Andreas
Branden, Eva
Mörner, Stellan
author_facet Magnusson, Peter
Palm, Andreas
Branden, Eva
Mörner, Stellan
author_sort Magnusson, Peter
collection PubMed
description PURPOSE: To validate diagnostic codes for hypertrophic cardiomyopathy (HCM), analyze misclassfications, and estimate the prevalence of HCM in an unselected Swedish regional cohort. PATIENTS AND METHODS: Using the hospitals’ electronic medical records (used for the Swedish National Patient Register), we identified 136 patients from 2006 to 2016 with the HCM-related codes 142.1 and 142.2 (International Classification of Diseases). RESULTS: Of a total of 129 residents in the catchment area, 88 patients were correctly classified as HCM (positive predictive value 68.2%) and 41 patients (31.8%) were misclassified as HCM. Among the 88 HCM patients (52.2% males), 74 were alive and 14 were dead (15.9%). This yields an HCM prevalence of 74/183,337, that is, 4.0 diagnosed cases per 10,000 in the adult population aged ≥18 years. The underlying diagnoses of misclassified cases were mainly hypertension (31.7%) and aortic stenosis (22.0%). Other types of cardiomyopathies accounted for several cases of misclassification: dilated (nonischemic or ischemic), left ventricular noncompaction, and Takotsubo. Miscellaneous diagnoses were amyloidosis, pulmonary stenosis combined with ventricular septal defect, aortic insufficiency, athelete’s heart, and atrioventricular conduction abnormality. The mean age was not significantly different between HCM and misclassified patients (65.8±15.8 vs 70.1±13.4 years; P=0.177). There were 47.8% females among HCM and 60.8% females among misclassified (P=0.118). CONCLUSION: One-third of patients diagnosed as HCM are misclassified, so registry data should be interpreted with caution. A correct diagnosis is important for decision-making and implementation of optimal HCM care; efforts should be made to increase awareness of HCM and diagnostic competence throughout the health care system.
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spelling pubmed-55571152017-08-28 Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes Magnusson, Peter Palm, Andreas Branden, Eva Mörner, Stellan Clin Epidemiol Original Research PURPOSE: To validate diagnostic codes for hypertrophic cardiomyopathy (HCM), analyze misclassfications, and estimate the prevalence of HCM in an unselected Swedish regional cohort. PATIENTS AND METHODS: Using the hospitals’ electronic medical records (used for the Swedish National Patient Register), we identified 136 patients from 2006 to 2016 with the HCM-related codes 142.1 and 142.2 (International Classification of Diseases). RESULTS: Of a total of 129 residents in the catchment area, 88 patients were correctly classified as HCM (positive predictive value 68.2%) and 41 patients (31.8%) were misclassified as HCM. Among the 88 HCM patients (52.2% males), 74 were alive and 14 were dead (15.9%). This yields an HCM prevalence of 74/183,337, that is, 4.0 diagnosed cases per 10,000 in the adult population aged ≥18 years. The underlying diagnoses of misclassified cases were mainly hypertension (31.7%) and aortic stenosis (22.0%). Other types of cardiomyopathies accounted for several cases of misclassification: dilated (nonischemic or ischemic), left ventricular noncompaction, and Takotsubo. Miscellaneous diagnoses were amyloidosis, pulmonary stenosis combined with ventricular septal defect, aortic insufficiency, athelete’s heart, and atrioventricular conduction abnormality. The mean age was not significantly different between HCM and misclassified patients (65.8±15.8 vs 70.1±13.4 years; P=0.177). There were 47.8% females among HCM and 60.8% females among misclassified (P=0.118). CONCLUSION: One-third of patients diagnosed as HCM are misclassified, so registry data should be interpreted with caution. A correct diagnosis is important for decision-making and implementation of optimal HCM care; efforts should be made to increase awareness of HCM and diagnostic competence throughout the health care system. Dove Medical Press 2017-08-09 /pmc/articles/PMC5557115/ /pubmed/28848363 http://dx.doi.org/10.2147/CLEP.S139300 Text en © 2017 Magnusson et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Magnusson, Peter
Palm, Andreas
Branden, Eva
Mörner, Stellan
Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes
title Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes
title_full Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes
title_fullStr Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes
title_full_unstemmed Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes
title_short Misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes
title_sort misclassification of hypertrophic cardiomyopathy: validation of diagnostic codes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557115/
https://www.ncbi.nlm.nih.gov/pubmed/28848363
http://dx.doi.org/10.2147/CLEP.S139300
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