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Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study)

OBJECTIVES: To validate the diagnoses of acute myocardial infarction (AMI) and stroke recorded in electronic medical records (EMR) and to estimate the population prevalence of both diseases in people aged ≥18 years. DESIGN: Cross-sectional validation study. SETTING: 45 primary care centres. PARTICIP...

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Autores principales: de Burgos-Lunar, Carmen, del Cura-Gonzalez, Isabel, Cárdenas-Valladolid, Juan, Gómez-Campelo, Paloma, Abánades-Herranz, Juan C, Lopez-de-Andres, Ana, Sotos-Prieto, Mercedes, Iriarte-Campo, Victor, Fuentes-Rodriguez, Carmen Y, Gómez-Coronado, Rafael, Salinero-Fort, Miguel A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277046/
https://www.ncbi.nlm.nih.gov/pubmed/37308273
http://dx.doi.org/10.1136/bmjopen-2022-068938
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author de Burgos-Lunar, Carmen
del Cura-Gonzalez, Isabel
Cárdenas-Valladolid, Juan
Gómez-Campelo, Paloma
Abánades-Herranz, Juan C
Lopez-de-Andres, Ana
Sotos-Prieto, Mercedes
Iriarte-Campo, Victor
Fuentes-Rodriguez, Carmen Y
Gómez-Coronado, Rafael
Salinero-Fort, Miguel A
author_facet de Burgos-Lunar, Carmen
del Cura-Gonzalez, Isabel
Cárdenas-Valladolid, Juan
Gómez-Campelo, Paloma
Abánades-Herranz, Juan C
Lopez-de-Andres, Ana
Sotos-Prieto, Mercedes
Iriarte-Campo, Victor
Fuentes-Rodriguez, Carmen Y
Gómez-Coronado, Rafael
Salinero-Fort, Miguel A
author_sort de Burgos-Lunar, Carmen
collection PubMed
description OBJECTIVES: To validate the diagnoses of acute myocardial infarction (AMI) and stroke recorded in electronic medical records (EMR) and to estimate the population prevalence of both diseases in people aged ≥18 years. DESIGN: Cross-sectional validation study. SETTING: 45 primary care centres. PARTICIPANTS: Simple random sampling of diagnoses of AMI and stroke (International Classification of Primary Care-2 codes K75 and K90, respectively) registered by 55 physicians and random age-matched and sex-matched sampling of the records that included in primary care EMRs in Madrid (Spain). PRIMARY AND SECONDARY OUTCOME MEASURES: Sensitivity, specificity, positive and negative predictive values and overall agreement were calculated using the kappa statistic. Applied gold standards were ECGs, brain imaging studies, hospital discharge reports, cardiology reports and neurology reports. In the case of AMI, the ESC/ACCF/AHA/WHF Expert Consensus Document was also used. Secondary outcomes were the estimated prevalence of both diseases considering the sensitivity and specificity obtained (true prevalence). RESULTS: The sensitivity of a diagnosis of AMI was 98.11% (95% CI, 96.29 to 99.03), and the specificity was 97.42% (95% CI, 95.44 to 98.55). The sensitivity of a diagnosis of stroke was 97.56% (95% CI, 95.56 to 98.68), and the specificity was 94.51% (95% CI, 91.96 to 96.28). No differences in the results were found after stratification by age and sex (both diseases). The prevalence of AMI and stroke was 1.38% and 1.27%, respectively. CONCLUSION: The validation results show that diagnoses of AMI and stroke in primary care EMRs constitute a helpful tool in epidemiological studies. The prevalence of AMI and stroke was lower than 2% in the population aged over 18 years.
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spelling pubmed-102770462023-06-19 Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study) de Burgos-Lunar, Carmen del Cura-Gonzalez, Isabel Cárdenas-Valladolid, Juan Gómez-Campelo, Paloma Abánades-Herranz, Juan C Lopez-de-Andres, Ana Sotos-Prieto, Mercedes Iriarte-Campo, Victor Fuentes-Rodriguez, Carmen Y Gómez-Coronado, Rafael Salinero-Fort, Miguel A BMJ Open Cardiovascular Medicine OBJECTIVES: To validate the diagnoses of acute myocardial infarction (AMI) and stroke recorded in electronic medical records (EMR) and to estimate the population prevalence of both diseases in people aged ≥18 years. DESIGN: Cross-sectional validation study. SETTING: 45 primary care centres. PARTICIPANTS: Simple random sampling of diagnoses of AMI and stroke (International Classification of Primary Care-2 codes K75 and K90, respectively) registered by 55 physicians and random age-matched and sex-matched sampling of the records that included in primary care EMRs in Madrid (Spain). PRIMARY AND SECONDARY OUTCOME MEASURES: Sensitivity, specificity, positive and negative predictive values and overall agreement were calculated using the kappa statistic. Applied gold standards were ECGs, brain imaging studies, hospital discharge reports, cardiology reports and neurology reports. In the case of AMI, the ESC/ACCF/AHA/WHF Expert Consensus Document was also used. Secondary outcomes were the estimated prevalence of both diseases considering the sensitivity and specificity obtained (true prevalence). RESULTS: The sensitivity of a diagnosis of AMI was 98.11% (95% CI, 96.29 to 99.03), and the specificity was 97.42% (95% CI, 95.44 to 98.55). The sensitivity of a diagnosis of stroke was 97.56% (95% CI, 95.56 to 98.68), and the specificity was 94.51% (95% CI, 91.96 to 96.28). No differences in the results were found after stratification by age and sex (both diseases). The prevalence of AMI and stroke was 1.38% and 1.27%, respectively. CONCLUSION: The validation results show that diagnoses of AMI and stroke in primary care EMRs constitute a helpful tool in epidemiological studies. The prevalence of AMI and stroke was lower than 2% in the population aged over 18 years. BMJ Publishing Group 2023-06-12 /pmc/articles/PMC10277046/ /pubmed/37308273 http://dx.doi.org/10.1136/bmjopen-2022-068938 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Cardiovascular Medicine
de Burgos-Lunar, Carmen
del Cura-Gonzalez, Isabel
Cárdenas-Valladolid, Juan
Gómez-Campelo, Paloma
Abánades-Herranz, Juan C
Lopez-de-Andres, Ana
Sotos-Prieto, Mercedes
Iriarte-Campo, Victor
Fuentes-Rodriguez, Carmen Y
Gómez-Coronado, Rafael
Salinero-Fort, Miguel A
Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study)
title Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study)
title_full Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study)
title_fullStr Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study)
title_full_unstemmed Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study)
title_short Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study)
title_sort validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in madrid, spain (the e-madveva study)
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277046/
https://www.ncbi.nlm.nih.gov/pubmed/37308273
http://dx.doi.org/10.1136/bmjopen-2022-068938
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