Impact of Different Diagnostic Measures on Drug Class Association with Dementia Progression Risk: A Longitudinal Prospective Cohort Study.

Alzheimer’s disease CDRSOB anticoagulants antidepressants antihypertensives dementia diagnosis metformin mild cognitive impairment risk factors

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
15 Jun 2024
Historique:
medline: 21 6 2024
pubmed: 21 6 2024
entrez: 21 6 2024
Statut: aheadofprint

Résumé

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. 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. 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. 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. 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 38905041
pii: JAD230456
doi: 10.3233/JAD-230456
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Daman Preet Kaur (DP)

Personalised Medicine Centre, School of Medicine, Ulster University, Altnagelvin Hospital, Londonderry/Derry, Northern Ireland, UK.

Magda Bucholc (M)

Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Derry Londonderry, Northern Ireland, UK.

David P Finn (DP)

Pharmacology and Therapeutics, School of Medicine, Galway Neuroscience Centre, University of Ireland, Galway, Republic of Ireland.

Stephen Todd (S)

Altnagelvin Area Hospital, Western Health and Social Care Trust, Derry Londonderry, Northern Ireland, UK.

Kong Fatt Wong-Lin (KF)

Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Derry Londonderry, Northern Ireland, UK.

Paula L McClean (PL)

Personalised Medicine Centre, School of Medicine, Ulster University, Altnagelvin Hospital, Londonderry/Derry, Northern Ireland, UK.

Classifications MeSH