Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI

Detalhes bibliográficos
Autor(a) principal: Xavier, Joana
Data de Publicação: 2023
Outros Autores: Seringa, Joana, Pinto, Fausto J., Magalhães, Teresa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/56238
Resumo: Copyright © 2023 Xavier, Seringa, Pinto and Magalhães. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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spelling Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMIAcute myocardial infarctionCardiovascular diseasesLength of stayPredictive modelsDecision-makingCopyright © 2023 Xavier, Seringa, Pinto and Magalhães. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Background: Cardiovascular diseases are still a significant cause of death and hospitalization. In 2019, circulatory diseases were responsible for 29.9% of deaths in Portugal. These diseases have a significant impact on the hospital length of stay. Length of stay predictive models is an efficient way to aid decision-making in health. This study aimed to validate a predictive model on the extended length of stay in patients with acute myocardial infarction at the time of admission. Methods: An analysis was conducted to test and recalibrate a previously developed model in the prediction of prolonged length of stay, for a new set of population. The study was conducted based on administrative and laboratory data of patients admitted for acute myocardial infarction events from a public hospital in Portugal from 2013 to 2015. Results: Comparable performance measures were observed upon the validation and recalibration of the predictive model of extended length of stay. Comorbidities such as shock, diabetes with complications, dysrhythmia, pulmonary edema, and respiratory infections were the common variables found between the previous model and the validated and recalibrated model for acute myocardial infarction. Conclusion: Predictive models for the extended length of stay can be applied in clinical practice since they are recalibrated and modeled to the relevant population characteristics.This study was funded by Fundação Ciência e Tecnologia, IP national support through CHRC (UIDP/04923/2020).FrontiersRepositório da Universidade de LisboaXavier, JoanaSeringa, JoanaPinto, Fausto J.Magalhães, Teresa2023-02-09T12:13:56Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/56238engFront. Med. 10:90731010.3389/fmed.2023.9073102296-858Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:03:41Zoai:repositorio.ul.pt:10451/56238Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:06:47.543979Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI
title Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI
spellingShingle Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI
Xavier, Joana
Acute myocardial infarction
Cardiovascular diseases
Length of stay
Predictive models
Decision-making
title_short Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI
title_full Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI
title_fullStr Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI
title_full_unstemmed Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI
title_sort Decision-making support systems on extended hospital length of stay: validation and recalibration of a model for patients with AMI
author Xavier, Joana
author_facet Xavier, Joana
Seringa, Joana
Pinto, Fausto J.
Magalhães, Teresa
author_role author
author2 Seringa, Joana
Pinto, Fausto J.
Magalhães, Teresa
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Xavier, Joana
Seringa, Joana
Pinto, Fausto J.
Magalhães, Teresa
dc.subject.por.fl_str_mv Acute myocardial infarction
Cardiovascular diseases
Length of stay
Predictive models
Decision-making
topic Acute myocardial infarction
Cardiovascular diseases
Length of stay
Predictive models
Decision-making
description Copyright © 2023 Xavier, Seringa, Pinto and Magalhães. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
publishDate 2023
dc.date.none.fl_str_mv 2023-02-09T12:13:56Z
2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/56238
url http://hdl.handle.net/10451/56238
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Front. Med. 10:907310
10.3389/fmed.2023.907310
2296-858X
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers
publisher.none.fl_str_mv Frontiers
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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