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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2023
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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. |
format | Online Article Text |
id | pubmed-10277046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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