Abstract
Background: The Clinical Dementia Rating Scale Sum of Boxes (CDRSOB) score is known to be highly indicative of cognitive-functional status and is regularly employed for clinical and research purposes. Objective: Our aim is to determine whether CDRSOB is consistent with clinical diagnosis in evaluating drug class associations with risk of progression to mild cognitive impairment (MCI) and dementia. Methods: We employed weighted Cox regression analysis on longitudinal NACC data, to identify drug classes associated with disease progression risk, using clinical diagnosis and CDRSOB as the outcome. Results: Aspirin (antiplatelet/NSAID), angiotensin II inhibitors (antihypertensive), and Parkinson's disease medications were significantly associated with reduced risk of progression to MCI/dementia and Alzheimer's disease medications were associated with increased MCI-to-Dementia progression risk with both clinical diagnosis and CDRSOB as the outcome. However, certain drug classes/subcategories, like anxiolytics, antiadrenergics, calcium (Ca2+) channel blockers, and diuretics (antihypertensives) were associated with reduced risk of disease progression, and SSRIs (antidepressant) were associated with increased progression risk only with CDRSOB. Additionally, metformin (antidiabetic medication) was associated with reduced MCI-to-Dementia progression risk only with clinical diagnosis as the outcome. Conclusions: Although the magnitude and direction of the effect were primarily similar for both diagnostic outcomes, we demonstrate that choice of diagnostic measure can influence the significance of risk/protection attributed to drug classes and consequently the conclusion of findings. A consensus must be reached within the research community with respect to the most accurate diagnostic outcome to identify risk and improve reproducibility.
Original language | English |
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Pages (from-to) | 631-644 |
Number of pages | 14 |
Journal | Journal of Alzheimer's Disease |
Volume | 100 |
Issue number | 2 |
Early online date | 15 Jun 2024 |
DOIs | |
Publication status | Published (in print/issue) - 16 Jul 2024 |
Bibliographical note
Publisher Copyright:© 2024 - IOS Press. All rights reserved.
Data Access Statement
The processed data can be found in results section in the manuscript and Supplementary Tables. R codes for data preparation and analysis are available on GitHub (https://github.com/DamanKaurT/NACC-medication-analysis-Oct23). NACC asks investigators to not share the data with individuals who are not collaborators on the project for which the data was requested. This is partially because they have distinctions between commercial and non-commercial recipients in place due to the option for NACC participants to elect to decline sharing of their data with commercial entities. Additionally, NACC has a data use agreement in place to help prevent misuse of the data. Lastly, this is helpful in their tracking of proposals, publications and data requests. NACC data is available through request to any interested researcher regardless of commerciality. However, commercial requests will only be able to receive a subset of the data due to the consent restrictions mentioned above. At the time of the request submission, investigators will be asked to provide details of the proposal and will need to submit a data use agreement. Requests can be submitted on their website (https://naccdata.org/requesting-data/submit-data-request).Previously Published Datasets: National Alzheimer’s Coordinating Center: Besser et al. 2018, Morris et al. 2006, since 2005, https://naccdata.org/, The NIA Alzheimer’s Disease Research Centers Program.
Keywords
- mild Cognitive Impairment
- dementia
- Alzheimer's disease
- risk factors
- CDRSOB
- diagnosis
- antidepressants
- anticoagulants
- antihypertensives
- metformin
- mild cognitive impairment
- Antihypertensive Agents/therapeutic use
- Prospective Studies
- Humans
- Male
- Cognitive Dysfunction/diagnosis
- Mental Status and Dementia Tests
- Dementia/diagnosis
- Disease Progression
- Aged, 80 and over
- Female
- Aged
- Longitudinal Studies
- Cohort Studies