Validation of a Computerized Dementia Diagnosis Algorithm
Author Information
Author(s): Prince Martin J, de Rodriguez Juan Llibre, Noriega L, Lopez A, Acosta Daisy, Albanese Emiliano, Arizaga Raul, Copeland John RM, Dewey Michael, Ferri Cleusa P, Guerra Mariella, Huang Yueqin, Jacob KS, Krishnamoorthy ES, McKeigue Paul, Sousa Renata, Stewart Robert J, Salas Aquiles, Sosa Ana Luisa, Uwakwa Richard
Primary Institution: King's College London
Hypothesis
Can a computerized algorithm for diagnosing dementia based on DSM-IV criteria be validated against clinician diagnoses in a population-based study?
Conclusion
The DSM-IV criterion may be specific but is incompletely sensitive to clinically relevant dementia cases, while the 10/66 dementia diagnosis is broader and more sensitive.
Supporting Evidence
- The DSM-IV algorithm confirmed 86.7% of severe dementia cases.
- The 10/66 algorithm identified 100% of severe cases.
- Clinician diagnoses agreed better with the 10/66 dementia diagnosis than with the DSM-IV algorithm.
- 71% of clinically diagnosed cases met the memory impairment criterion for DSM-IV.
- 85% of clinically diagnosed cases met the social and occupational impairment criterion.
Takeaway
This study created a computer program to help doctors diagnose dementia and found that it sometimes misses less severe cases, while another method catches more cases.
Methodology
The study used a computerized algorithm based on DSM-IV criteria and validated it against clinician diagnoses in a population-based sample in Cuba.
Potential Biases
The study may have overestimated concordance due to the use of the same structured assessments for all diagnoses.
Limitations
The study's reliance on clinician diagnoses and the potential for overdiagnosis with the 10/66 algorithm may affect the results.
Participant Demographics
Participants were aged 65 and over from various catchment areas in Cuba.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI 0.74–0.83
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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