1
|
Yotruangsri T, Phinyo P, Buawangpong N, Nantsupawat N, Angkurawaranon C, Pinyopornpanish K. Survival analysis of older adults with dementia: predicting factors after unplanned hospitalization in Maharaj Nakorn Chiang Mai Hospital. BMC Geriatr 2024; 24:11. [PMID: 38172741 PMCID: PMC10765674 DOI: 10.1186/s12877-023-04558-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/02/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Hospitalization in individuals with dementia can be associated with negative and unintended outcomes. Research indicates that people with dementia experience more hospital admissions in comparison to individuals without dementia. This study aims to assess the survival time of individuals with dementia who experience unplanned hospitalization and examine the factors that are associated with mortality in this population. METHODS This retrospective cohort study was conducted using data from older adults with dementia who survived unplanned hospitalizations at Maharaj Nakorn Chiang Mai Hospital between January 1, 2009, and December 31, 2016. The association between factors and mortality were analyzed using a multivariable Cox proportional hazards model. RESULTS One hundred and eighty-one cases were included. The mean age of the study population was 80.07 (SD 7.49) years, and the majority were female (56.91%). The median survival time of the studied cohort was 3.06 years (95% CI 3.14-3.60). The multivariable analysis revealed that older age (aHR = 1.02, 95% CI 1.00-1.05), a diagnosis of mixed-type dementia (aHR = 3.45, 95% CI 1.17-10.14), higher Charlson comorbidity index score (aHR = 1.19, 95% CI 1.04-1.36), higher serum creatinine level (aHR = 1.35, 95% CI 1.10-1.66), insertion of endotracheal tube (aHR = 1.95, 95% CI 1.07-3.54), and readmission within 30 days (aHR = 1.88, 95% CI 1.18-2.98) were associated with an increased risk of mortality. CONCLUSIONS We identified several notable predictors of mortality. Healthcare providers can use the findings of this study to identify patients who may be at higher risk of mortality and develop targeted interventions which may improve patient outcomes.
Collapse
Affiliation(s)
- Thanachat Yotruangsri
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
| | - Phichayut Phinyo
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Center for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Musculoskeletal Science and Translational Research (MSTR), Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Nida Buawangpong
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Nopakoon Nantsupawat
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Chaisiri Angkurawaranon
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Kanokporn Pinyopornpanish
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand.
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand.
| |
Collapse
|