All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality

Detalhes bibliográficos
Autor(a) principal: Santos, João Vasco
Data de Publicação: 2022
Outros Autores: Viana, João, Pinto, Carla, Souza, Júlio, Lopes, Fernando, Freitas, Alberto, Lopes, Sílvia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/140922
Resumo: Publisher Copyright: © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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spelling All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortalityCharlson Comorbidity IndexDiagnosis-Related GroupsElixhauser Comorbidity IndexIn-hospital mortalityPredictionRisk of MortalitySeverity of IllnessMedicine (miscellaneous)Information SystemsHealth InformaticsHealth Information ManagementPublisher Copyright: © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.The aims of this study were to assess All-Patient Refined Diagnosis-Related Groups’ (APR-DRG) Severity of Illness (SOI) and Risk of Mortality (ROM) as predictors of in-hospital mortality, comparing with Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI) scores. We performed a retrospective observational study using mainland Portuguese public hospitalizations of adult patients from 2011 to 2016. Model discrimination (C-statistic/ area under the curve) and goodness-of-fit (R-squared) were calculated. Our results comprised 4,176,142 hospitalizations with 5.9% in-hospital deaths. Compared to the CCI and ECI models, the model considering SOI, age and sex showed a statistically significantly higher discrimination in 49.6% (132 out of 266) of APR-DRGs, while in the model with ROM that happened in 33.5% of APR-DRGs. Between these two models, SOI was the best performer for nearly 20% of APR-DRGs. Some particular APR-DRGs have showed good discrimination (e.g. related to burns, viral meningitis or specific transplants). In conclusion, SOI or ROM, combined with age and sex, perform better than more widely used comorbidity indices. Despite ROM being the only score specifically designed for in-hospital mortality prediction, SOI performed better. These findings can be helpful for hospital or organizational models benchmarking or epidemiological analysis.Escola Nacional de Saúde Pública (ENSP)Comprehensive Health Research Centre (CHRC) - Pólo ENSPCentro de Investigação em Saúde Pública (CISP/PHRC)RUNSantos, João VascoViana, JoãoPinto, CarlaSouza, JúlioLopes, FernandoFreitas, AlbertoLopes, Sílvia2022-06-27T22:24:42Z2022-062022-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/140922eng0148-5598PURE: 44981859https://doi.org/10.1007/s10916-022-01805-3info: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:RCAAP2024-05-22T18:02:54Zoai:run.unl.pt:10362/140922Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:02:54Repositório 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 All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality
title All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality
spellingShingle All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality
Santos, João Vasco
Charlson Comorbidity Index
Diagnosis-Related Groups
Elixhauser Comorbidity Index
In-hospital mortality
Prediction
Risk of Mortality
Severity of Illness
Medicine (miscellaneous)
Information Systems
Health Informatics
Health Information Management
title_short All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality
title_full All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality
title_fullStr All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality
title_full_unstemmed All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality
title_sort All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) severity of illness and risk of mortality as predictors of in-hospital mortality
author Santos, João Vasco
author_facet Santos, João Vasco
Viana, João
Pinto, Carla
Souza, Júlio
Lopes, Fernando
Freitas, Alberto
Lopes, Sílvia
author_role author
author2 Viana, João
Pinto, Carla
Souza, Júlio
Lopes, Fernando
Freitas, Alberto
Lopes, Sílvia
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Escola Nacional de Saúde Pública (ENSP)
Comprehensive Health Research Centre (CHRC) - Pólo ENSP
Centro de Investigação em Saúde Pública (CISP/PHRC)
RUN
dc.contributor.author.fl_str_mv Santos, João Vasco
Viana, João
Pinto, Carla
Souza, Júlio
Lopes, Fernando
Freitas, Alberto
Lopes, Sílvia
dc.subject.por.fl_str_mv Charlson Comorbidity Index
Diagnosis-Related Groups
Elixhauser Comorbidity Index
In-hospital mortality
Prediction
Risk of Mortality
Severity of Illness
Medicine (miscellaneous)
Information Systems
Health Informatics
Health Information Management
topic Charlson Comorbidity Index
Diagnosis-Related Groups
Elixhauser Comorbidity Index
In-hospital mortality
Prediction
Risk of Mortality
Severity of Illness
Medicine (miscellaneous)
Information Systems
Health Informatics
Health Information Management
description Publisher Copyright: © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-27T22:24:42Z
2022-06
2022-06-01T00:00:00Z
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/10362/140922
url http://hdl.handle.net/10362/140922
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0148-5598
PURE: 44981859
https://doi.org/10.1007/s10916-022-01805-3
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.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
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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