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- Haaksma, Miriam L., et al.
(författare)
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Cognitive and functional progression in Alzheimer disease : A prediction model of latent classes
- 2018
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Ingår i: International Journal of Geriatric Psychiatry. - : Wiley. - 0885-6230 .- 1099-1166. ; 33:8, s. 1057-1064
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Tidskriftsartikel (refereegranskat)abstract
- Objective: We sought to replicate a previously published prediction model for progression, developed in the Cache County Dementia Progression Study, using a clinical cohort from the National Alzheimer's Coordinating Center.Methods: We included 1120 incident Alzheimer disease (AD) cases with at least one assessment after diagnosis, originating from 31 AD centres from the United States. Trajectories of the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating sum of boxes (CDR-sb) were modelled jointly over time using parallel-process growth mixture models in order to identify latent classes of trajectories. Bias-corrected multinomial logistic regression was used to identify baseline predictors of class membership and compare these with the predictors found in the Cache County Dementia Progression Study.Results: The best-fitting model contained 3 classes: Class 1 was the largest (63%) and showed the slowest progression on both MMSE and CDR-sb; classes 2 (22%) and 3 (15%) showed moderate and rapid worsening, respectively. Significant predictors of membership in classes 2 and 3, relative to class 1, were worse baseline MMSE and CDR-sb, higher education, and lack of hypertension. Combining all previously mentioned predictors yielded areas under the receiver operating characteristic curve of 0.70 and 0.75 for classes 2 and 3, respectively, relative to class 1.Conclusions: Our replication study confirmed that it is possible to predict trajectories of progression in AD with relatively good accuracy. The class distribution was comparable with that of the original study, with most individuals being members of a class with stable or slow progression. This is important for informing newly diagnosed AD patients and their caregivers.
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| 2. |
- Tan, Edwin C. K., et al.
(författare)
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Acetylcholinesterase inhibitors and risk of stroke and death in people with dementia
- 2018
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Ingår i: Alzheimer's & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 14:7, s. 944-951
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: The aim of this study was to investigate the association between acetylcholinesterase inhibitor (AChEI) use and risk of ischemic stroke and death in people with dementia.Methods: A cohort study of 44,288 people with dementia registered in the Swedish Dementia Registry from 2007 to 2014. Propensity score-matched competing risk regression models were used to compute hazard ratios and 95% confidence intervals for the association between time-dependent AChEI use and risk of stroke and death.Results: Compared with matched controls, AChEI users had a lower risk of stroke (hazard ratio: 0.85, 95% confidence interval: 0.75-0.95) and all-cause death (hazard ratio: 0.76, 95% confidence interval: 0.72-0.80). After considering competing risk of death, high doses (>= 1.33 defined daily doses) of AChEI remained significantly associated with reduced stroke risk.Discussion: The use of AChEIs in people with dementia may be associated with reduced risk of ischemic stroke and death. These results call for a closer examination of the cardiovascular effects of AChEIs.
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