Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over

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作者
Luciana Pereira Rodrigues
João Ricardo Nickenig Vissoci
Diego Galdino França
Nayara Malheiros Caruzzo
Sandro Rogério Rodrigues Batista
Cesar de Oliveira
Bruno Pereira Nunes
Erika Aparecida Silveira
机构
[1] Federal University of Goiás,Postgraduate Program in Health Sciences, Faculty of Medicine
[2] Duke University,Duke Global Health Institute
[3] State University of Maringá,Faculty of Medicine
[4] Federal University of Goiás,Department of Epidemiology and Public Health
[5] University College London,Faculty of Nursing
[6] Federal University of Pelotas,Department of Health
[7] Government of Goiás,undefined
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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.
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