Multimorbidity Patterns and Mortality Risk in Dementia Patients
Author Information
Author(s): Luo Hao, Zhou Jiayi
Primary Institution: The University of Hong Kong
Hypothesis
This study aimed to identify multimorbidity patterns among patients with and without dementia and examine how these patterns were associated with mortality.
Conclusion
The study found that specific combinations of chronic conditions significantly increase the risk of mortality in dementia patients.
Supporting Evidence
- Seven multimorbidity patterns were identified from latent class analysis.
- The pattern characterized by 'dyslipidemia and neurological diseases' was most likely to coexist with dementia.
- Among dementia patients, all multimorbidity patterns except 'unspecific' were associated with increased mortality risk.
- The 'clinically complex' pattern had the highest mortality risk (HR 1.65).
- The 'respiratory disease' pattern had a mortality risk of HR 1.51.
- The 'heart disease' pattern had a mortality risk of HR 1.40.
Takeaway
People with dementia often have other diseases, and having certain combinations of these diseases can make them more likely to die.
Methodology
The study used electronic medical records to identify dementia patients and matched them with non-dementia patients by age, sex, and index date.
Participant Demographics
Mean age was 83.26 years, with 59.6% females.
Statistical Information
Confidence Interval
95% CI: 1.60, 1.70
Digital Object Identifier (DOI)
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