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Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over
Multimorbidity is highly prevalent in older adults and can lead to hospitalisation. We investigate the prevalence, associated factors, and multimorbidity pattern associated to hospitalisation, readmission, and length of stay in the population aged 50 years and older. We analysed baseline data (2015–...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270321/ https://www.ncbi.nlm.nih.gov/pubmed/35804008 http://dx.doi.org/10.1038/s41598-022-15723-4 |
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author | Rodrigues, Luciana Pereira Vissoci, João Ricardo Nickenig França, Diego Galdino Caruzzo, Nayara Malheiros Batista, Sandro Rogério Rodrigues de Oliveira, Cesar Nunes, Bruno Pereira Silveira, Erika Aparecida |
author_facet | Rodrigues, Luciana Pereira Vissoci, João Ricardo Nickenig França, Diego Galdino Caruzzo, Nayara Malheiros Batista, Sandro Rogério Rodrigues de Oliveira, Cesar Nunes, Bruno Pereira Silveira, Erika Aparecida |
author_sort | Rodrigues, Luciana Pereira |
collection | PubMed |
description | Multimorbidity is highly prevalent in older adults and can lead to hospitalisation. We investigate the prevalence, associated factors, and multimorbidity pattern associated to hospitalisation, readmission, and length of stay in the population aged 50 years and older. We analysed baseline data (2015–2016) from the ELSI-Brazil cohort, a representative sample of non-institutionalised Brazilians aged ≥ 50 years. In total, 8807 individuals aged ≥ 50 years were included. Poisson regression with robust variance adjusted for confounders was used to verify the associations with hospitalisation. Multiple linear regression was used to analyse the associations with readmission and length of stay. Network analysis was conducted using 19 morbidities and the outcome variables. In 8807 participants, the prevalence of hospitalisation was 10.0% (95% CI 9.1, 11), mean readmissions was 1.55 ± 1.191, and mean length of stay was 6.43 ± 10.46 days. Hospitalisation was positively associated with male gender, not living with a partner, not having ingested alcoholic beverages in the last month, and multimorbidity. For hospital readmission, only multimorbidity ≥ 3 chronic conditions showed a statistically significant association. Regarding the length of stay, the risk was positive for males and negative for living in rural areas. Five disease groups connected to hospitalisation, readmission and length of stay were identified. To conclude, sociodemographic variables, such as gender, age group, and living in urban areas, and multimorbidity increased the risk of hospitalisation, mean number of readmissions, and mean length of stay. Through network analysis, we identified the groups of diseases that increased the risk of hospitalisation, readmissions, and length of stay. |
format | Online Article Text |
id | pubmed-9270321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92703212022-07-10 Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over Rodrigues, Luciana Pereira Vissoci, João Ricardo Nickenig França, Diego Galdino Caruzzo, Nayara Malheiros Batista, Sandro Rogério Rodrigues de Oliveira, Cesar Nunes, Bruno Pereira Silveira, Erika Aparecida Sci Rep Article Multimorbidity is highly prevalent in older adults and can lead to hospitalisation. We investigate the prevalence, associated factors, and multimorbidity pattern associated to hospitalisation, readmission, and length of stay in the population aged 50 years and older. We analysed baseline data (2015–2016) from the ELSI-Brazil cohort, a representative sample of non-institutionalised Brazilians aged ≥ 50 years. In total, 8807 individuals aged ≥ 50 years were included. Poisson regression with robust variance adjusted for confounders was used to verify the associations with hospitalisation. Multiple linear regression was used to analyse the associations with readmission and length of stay. Network analysis was conducted using 19 morbidities and the outcome variables. In 8807 participants, the prevalence of hospitalisation was 10.0% (95% CI 9.1, 11), mean readmissions was 1.55 ± 1.191, and mean length of stay was 6.43 ± 10.46 days. Hospitalisation was positively associated with male gender, not living with a partner, not having ingested alcoholic beverages in the last month, and multimorbidity. For hospital readmission, only multimorbidity ≥ 3 chronic conditions showed a statistically significant association. Regarding the length of stay, the risk was positive for males and negative for living in rural areas. Five disease groups connected to hospitalisation, readmission and length of stay were identified. To conclude, sociodemographic variables, such as gender, age group, and living in urban areas, and multimorbidity increased the risk of hospitalisation, mean number of readmissions, and mean length of stay. Through network analysis, we identified the groups of diseases that increased the risk of hospitalisation, readmissions, and length of stay. Nature Publishing Group UK 2022-07-08 /pmc/articles/PMC9270321/ /pubmed/35804008 http://dx.doi.org/10.1038/s41598-022-15723-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rodrigues, Luciana Pereira Vissoci, João Ricardo Nickenig França, Diego Galdino Caruzzo, Nayara Malheiros Batista, Sandro Rogério Rodrigues de Oliveira, Cesar Nunes, Bruno Pereira Silveira, Erika Aparecida Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over |
title | Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over |
title_full | Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over |
title_fullStr | Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over |
title_full_unstemmed | Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over |
title_short | Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over |
title_sort | multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270321/ https://www.ncbi.nlm.nih.gov/pubmed/35804008 http://dx.doi.org/10.1038/s41598-022-15723-4 |
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