Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study

Detalhes bibliográficos
Autor(a) principal: Broeiro-Gonçalves,Paula
Data de Publicação: 2019
Outros Autores: Nogueira,Paulo, Aguiar,Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452019000100002
Resumo: Introduction: Multimorbidity (MM) by age groups curves behaviour and its relationship with disease severity are not well established. Considering the Charlson Index as a prognosis instrument to measure disease severity, the objectives were to characterise the MM and its severity through the Charlson index in Portuguese inpatients. - Methods: A cross-sectional, descriptive study with an analytical component was drawn through data exported from the hospitalisations Homogeneous Diagnostic Groups database of the Portuguese-NHS during the year 2015. The study included 22 chronic health conditions: the 15 predicted in the Charlson index and 7 more (hypertension, obesity, dyslipidaemia, osteoarthritis, osteoporosis, anxiety and depression). The bi and multivariable analyses were performed through the generalised linear model considering binary logistic regression. In the analysis, the IBM SPSS version 24.0 tool was used. - Results: A total of 800,376 hospitalisations were analysed, from which 42% (336,398) corresponds to males and 58% (463,978) to females. The average age of the sample was 59.8 years, being higher in men (62.34 years) than in women (57.95 years). The mean number of diagnostics per person was 1.6, being greater in men (1.8). Disease severity was also higher in males. The greatest disease severity (Charlson &gt;5) occurred at middle-aged (between 55 and 74 years). Throughout life behaviour of the average number of conditions and the average Charlson index without adjustment for age is similar. By the weight attributed to age, the Charlson index age-adjusted shows a sharper tendency of elevation after the forty years. The distribution by age groups of the age-adjusted Charlson index, categorised according to the cut-offs defined in the methodology (cut-off 0 to <5; cut-off 5 to <9; cut-off =9), showed an abrupt growth for the cut-off =9 at 55/59 years, peaking at 75/79 years, while for cut-off 5 at <9 the most marked growth occurs at 65/69 and the peak about 5 years later than for the cut-off =9. After the 90 years old all measures averages (MM and severity disease) suffer a decline. - Discussion: The results suggest that the greatest disease severity are male associated and occurred at middle ages. There was an association between any MM measure and the Charlson index. The MM curves behaviour showed a decline in nonagenary age, suggesting healthy people live longer. Questioned if the MM and its severity is not a middle age health issue. As limitations, we identified its cross-sectional design and the omission of socioeconomic information and the use of the same medical conditions to measure MM and disease severity. Other studies and analysis models should explore the complexity of the MM phenomenon and its impact on long life.
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spelling Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional StudyMultimorbidityComorbidityDisease burdenDisease severityIntroduction: Multimorbidity (MM) by age groups curves behaviour and its relationship with disease severity are not well established. Considering the Charlson Index as a prognosis instrument to measure disease severity, the objectives were to characterise the MM and its severity through the Charlson index in Portuguese inpatients. - Methods: A cross-sectional, descriptive study with an analytical component was drawn through data exported from the hospitalisations Homogeneous Diagnostic Groups database of the Portuguese-NHS during the year 2015. The study included 22 chronic health conditions: the 15 predicted in the Charlson index and 7 more (hypertension, obesity, dyslipidaemia, osteoarthritis, osteoporosis, anxiety and depression). The bi and multivariable analyses were performed through the generalised linear model considering binary logistic regression. In the analysis, the IBM SPSS version 24.0 tool was used. - Results: A total of 800,376 hospitalisations were analysed, from which 42% (336,398) corresponds to males and 58% (463,978) to females. The average age of the sample was 59.8 years, being higher in men (62.34 years) than in women (57.95 years). The mean number of diagnostics per person was 1.6, being greater in men (1.8). Disease severity was also higher in males. The greatest disease severity (Charlson &gt;5) occurred at middle-aged (between 55 and 74 years). Throughout life behaviour of the average number of conditions and the average Charlson index without adjustment for age is similar. By the weight attributed to age, the Charlson index age-adjusted shows a sharper tendency of elevation after the forty years. The distribution by age groups of the age-adjusted Charlson index, categorised according to the cut-offs defined in the methodology (cut-off 0 to <5; cut-off 5 to <9; cut-off =9), showed an abrupt growth for the cut-off =9 at 55/59 years, peaking at 75/79 years, while for cut-off 5 at <9 the most marked growth occurs at 65/69 and the peak about 5 years later than for the cut-off =9. After the 90 years old all measures averages (MM and severity disease) suffer a decline. - Discussion: The results suggest that the greatest disease severity are male associated and occurred at middle ages. There was an association between any MM measure and the Charlson index. The MM curves behaviour showed a decline in nonagenary age, suggesting healthy people live longer. Questioned if the MM and its severity is not a middle age health issue. As limitations, we identified its cross-sectional design and the omission of socioeconomic information and the use of the same medical conditions to measure MM and disease severity. Other studies and analysis models should explore the complexity of the MM phenomenon and its impact on long life.Escola Nacional de Saúde Pública2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452019000100002Portuguese Journal of Public Health v.37 n.1 2019reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452019000100002Broeiro-Gonçalves,PaulaNogueira,PauloAguiar,Pedroinfo:eu-repo/semantics/openAccess2024-02-06T17:34:28Zoai:scielo:S2504-31452019000100002Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:36:26.337555Repositório 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 Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study
title Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study
spellingShingle Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study
Broeiro-Gonçalves,Paula
Multimorbidity
Comorbidity
Disease burden
Disease severity
title_short Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study
title_full Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study
title_fullStr Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study
title_full_unstemmed Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study
title_sort Multimorbidity and Disease Severity by Age Groups, in Inpatients: Cross-Sectional Study
author Broeiro-Gonçalves,Paula
author_facet Broeiro-Gonçalves,Paula
Nogueira,Paulo
Aguiar,Pedro
author_role author
author2 Nogueira,Paulo
Aguiar,Pedro
author2_role author
author
dc.contributor.author.fl_str_mv Broeiro-Gonçalves,Paula
Nogueira,Paulo
Aguiar,Pedro
dc.subject.por.fl_str_mv Multimorbidity
Comorbidity
Disease burden
Disease severity
topic Multimorbidity
Comorbidity
Disease burden
Disease severity
description Introduction: Multimorbidity (MM) by age groups curves behaviour and its relationship with disease severity are not well established. Considering the Charlson Index as a prognosis instrument to measure disease severity, the objectives were to characterise the MM and its severity through the Charlson index in Portuguese inpatients. - Methods: A cross-sectional, descriptive study with an analytical component was drawn through data exported from the hospitalisations Homogeneous Diagnostic Groups database of the Portuguese-NHS during the year 2015. The study included 22 chronic health conditions: the 15 predicted in the Charlson index and 7 more (hypertension, obesity, dyslipidaemia, osteoarthritis, osteoporosis, anxiety and depression). The bi and multivariable analyses were performed through the generalised linear model considering binary logistic regression. In the analysis, the IBM SPSS version 24.0 tool was used. - Results: A total of 800,376 hospitalisations were analysed, from which 42% (336,398) corresponds to males and 58% (463,978) to females. The average age of the sample was 59.8 years, being higher in men (62.34 years) than in women (57.95 years). The mean number of diagnostics per person was 1.6, being greater in men (1.8). Disease severity was also higher in males. The greatest disease severity (Charlson &gt;5) occurred at middle-aged (between 55 and 74 years). Throughout life behaviour of the average number of conditions and the average Charlson index without adjustment for age is similar. By the weight attributed to age, the Charlson index age-adjusted shows a sharper tendency of elevation after the forty years. The distribution by age groups of the age-adjusted Charlson index, categorised according to the cut-offs defined in the methodology (cut-off 0 to <5; cut-off 5 to <9; cut-off =9), showed an abrupt growth for the cut-off =9 at 55/59 years, peaking at 75/79 years, while for cut-off 5 at <9 the most marked growth occurs at 65/69 and the peak about 5 years later than for the cut-off =9. After the 90 years old all measures averages (MM and severity disease) suffer a decline. - Discussion: The results suggest that the greatest disease severity are male associated and occurred at middle ages. There was an association between any MM measure and the Charlson index. The MM curves behaviour showed a decline in nonagenary age, suggesting healthy people live longer. Questioned if the MM and its severity is not a middle age health issue. As limitations, we identified its cross-sectional design and the omission of socioeconomic information and the use of the same medical conditions to measure MM and disease severity. Other studies and analysis models should explore the complexity of the MM phenomenon and its impact on long life.
publishDate 2019
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dc.publisher.none.fl_str_mv Escola Nacional de Saúde Pública
publisher.none.fl_str_mv Escola Nacional de Saúde Pública
dc.source.none.fl_str_mv Portuguese Journal of Public Health v.37 n.1 2019
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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