Psychiatry Investig.  2023 Sep;20(9):861-869. 10.30773/pi.2023.0112.

Multimorbidity Pattern and Risk for Mortality Among Patients With Dementia: A Nationwide Cohort Study Using Latent Class Analysis

Affiliations
  • 1Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
  • 2Center for Geriatrics and Gerontology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
  • 3Non-Invasive Neuromodulation Consortium for Mental Disorders, Society of Psychophysiology, Taipei, Taiwan
  • 4Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
  • 5Department of Nursing, Mackay Medical College, Taipei, Taiwan
  • 6Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
  • 7Department of Psychiatry, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
  • 8Department of Psychiatry, Cheng Hsin General Hospital, Taipei, Taiwan
  • 9Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
  • 10Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan
  • 11Department of Neurology, Tri-Service General Hospital, Taipei, Taiwan
  • 12Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, Taipei, Taiwan
  • 13Department of Psychiatry, National Defense Medical Center, Taipei, Taiwan

Abstract


Objective
Individuals with dementia are at a substantially elevated risk for mortality; however, few studies have examined multimorbidity patterns and determined the inter-relationship between these comorbidities in predicting mortality risk.
Methods
This is a prospective cohort study. Data from 6,556 patients who were diagnosed with dementia between 1997 and 2012 using the Taiwan National Health Insurance Research Database were analyzed. Latent class analysis was performed using 16 common chronic conditions to identify mortality risk among potentially different latent classes. Logistic regression was performed to determine the adjusted association of the determined latent classes with the 5-year mortality rate.
Results
With adjustment for age, a three-class model was identified, with 42.7% of participants classified as “low comorbidity class (cluster 1)”, 44.2% as “cardiometabolic multimorbidity class (cluster 2)”, and 13.1% as “FRINGED class (cluster 3, characterized by FRacture, Infection, NasoGastric feeding, and bleEDing over upper gastrointestinal tract).” The incidence of 5-year mortality was 17.6% in cluster 1, 26.7% in cluster 2, and 59.6% in cluster 3. Compared with cluster 1, the odds ratio for mortality was 9.828 (95% confidence interval [CI]=6.708–14.401; p<0.001) in cluster 2 and 1.582 (95% CI=1.281–1.953; p<0.001) in cluster 3.
Conclusion
Among patients with dementia, the risk for 5-year mortality was highest in the subpopulation characterized by fracture, urinary and pulmonary infection, upper gastrointestinal bleeding, and nasogastric intubation, rather than cancer or cardiometabolic comorbidities. These findings may improve decision-making and advance care planning for patients with dementia.

Keyword

Dementia; Latent class analysis; Mortality; Multimorbidity
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