AI Article Synopsis

  • Multimorbidity is common among older adults and significantly increases the risk of hospitalisation, readmission, and longer hospital stays.
  • A study involving 8807 Brazilians aged 50 and older found that factors like gender, relationship status, alcohol consumption, and having multiple chronic conditions were linked to higher hospitalisation rates.
  • Network analysis revealed five disease groups that are particularly associated with increased risks for hospitalisation and readmission, highlighting the importance of understanding sociodemographic factors and health conditions in this population.

Article Abstract

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270321PMC
http://dx.doi.org/10.1038/s41598-022-15723-4DOI Listing

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