dc.contributor.author | Ordunez, Pedro | |
dc.contributor.author | Tajer, Carlos | |
dc.contributor.author | Gaziano, Thomas | |
dc.contributor.author | Rodriguez, Yenny A. | |
dc.contributor.author | Rosende, Andres | |
dc.contributor.author | Jaffe, Marc G. | |
dc.date.accessioned | 2022-06-29T19:45:05Z | |
dc.date.available | 2022-06-29T19:45:05Z | |
dc.date.issued | 2022-07-05 | |
dc.identifier.citation | Ordunez 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.2022.91 | en_US |
dc.identifier.issn | 1680 5348 | |
dc.identifier.uri | https://iris.paho.org/handle/10665.2/56129 | |
dc.description.abstract | Dear 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.iso | en | en_US |
dc.relation.ispartofseries | Rev Panam Salud Publica;46, jul. 2022 | |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 IGO | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/igo/ | * |
dc.subject | Noncommunicable Diseases | en_US |
dc.subject | Cardiovascular Diseases | en_US |
dc.subject | Heart Disease Risk Factors | en_US |
dc.subject | Hypertension | en_US |
dc.subject | Medical Informatics Applications | en_US |
dc.subject | Quality of Health Care | |
dc.subject | Americas | |
dc.title | Authors’ response to the letter “Concerning The HEARTS app: a clinical tool for cardiovascular risk and hypertension management in primary health care” | en_US |
dc.type | Journal articles | en_US |
dc.rights.holder | Pan American Health Organization | en_US |
paho.articletype | Letters | en_US |
paho.isfeatured | 0 | en_US |
dc.identifier.doi | https://doi.org/10.26633/RPSP.2022.91 | |
paho.source.centercode | US1.1 | en_US |
dc.relation.ispartofjournal | Revista Panamericana de Salud Pública | es_ES |
dc.relation.ispartofjournal | Pan American Journal of Public Health | |