Show simple item record

dc.contributor.authorOrdunez, Pedro
dc.contributor.authorTajer, Carlos
dc.contributor.authorGaziano, Thomas
dc.contributor.authorRodriguez, Yenny A.
dc.contributor.authorRosende, Andres
dc.contributor.authorJaffe, Marc G.
dc.date.accessioned2022-06-29T19:45:05Z
dc.date.available2022-06-29T19:45:05Z
dc.date.issued2022-07-05
dc.identifier.citationOrdunez P, Tajer C, Gaziano T, Rodriguez YA, Rosende A and Jaffe MG. Authors’ response to the letter Concerning The HEARTS app: a clinical tool for cardiovascular risk and hypertension management in primary health care”. Rev Panam Salud Publica. 2022;46:e91. https://doi.org/10.26633/RPSP.2022.91en_US
dc.identifier.issn1680 5348
dc.identifier.urihttps://iris.paho.org/handle/10665.2/56129
dc.description.abstractDear editor, Thanks for the opportunity to reply to the letter from Muñoz Laguna J and Banegas JR (1) regarding the HEARTS app (2). First, the risk score used in the HEARTS app is utterly based on the World Health Organization Cardiovascular Disease (CVD) Risk Chart Working Group study. It is, so far, the most updated, robust, and accessible CVD risk charts for the low-middle income countries globally (3). Indeed, these risk models were first derived in well-established international cohorts with baseline information on all the risk factor variables for the prediction models, had at least one year of follow-up, and provided detailed information on cause-specific mortality and non-fatal CVD events. Moreover, for the recalibration of the models, age and sex-specific incidences of myocardial infarction and stroke from each of the 21 global regions defined by the Global Burden of Disease were used. This was further completed by averaging country-specific risk factor values from the Non-Communicable Disease Risk Factor Collaboration. Therefore, Latin America and the Caribbean (LAC) regional data was used for calibration if not for the initial derivation models due to the lack of available cohort information from this Region at the study time. Finally, the models underwent external validation using individual participant data from 19 other cohorts. Although these countries did not include any from LAC, the external validation results were robust with good C indices. When available and well-established, prediction models using data from the Region may improve the score over time. The risk prediction models in the future could be further calibrated and revised according to country-specific CVD incidence. In summary, the WHO prediction models used by the HEARTS app offer a simple and reliable estimate for risk estimation for the time being. To read the complete letter, please download the manuscript using the link on the left.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesRev Panam Salud Publica;46, jul. 2022
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 IGO*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/igo/*
dc.subjectNoncommunicable Diseasesen_US
dc.subjectCardiovascular Diseasesen_US
dc.subjectHeart Disease Risk Factorsen_US
dc.subjectHypertensionen_US
dc.subjectMedical Informatics Applicationsen_US
dc.subjectQuality of Health Care
dc.subjectAmericas
dc.titleAuthors’ response to the letter “Concerning The HEARTS app: a clinical tool for cardiovascular risk and hypertension management in primary health care”en_US
dc.typeJournal articlesen_US
dc.rights.holderPan American Health Organizationen_US
paho.articletypeLettersen_US
paho.isfeatured0en_US
dc.identifier.doihttps://doi.org/10.26633/RPSP.2022.91
paho.source.centercodeUS1.1en_US
dc.relation.ispartofjournalRevista Panamericana de Salud Públicaes_ES
dc.relation.ispartofjournalPan American Journal of Public Health


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 IGO
This notice should be preserved along with the article's original URL.Attribution-NonCommercial-ShareAlike 3.0 IGO