The usefulness of visual rating of posterior atrophy in predicting rapid cognitive decline in Alzheimer disease: A preliminary study

2019 ◽  
Vol 34 (4) ◽  
pp. 625-632
Author(s):  
Jeewon Suh ◽  
Young Ho Park ◽  
Hang‐Rai Kim ◽  
Jae‐Won Jang ◽  
Min Ju Kang ◽  
...  
Keyword(s):  
Alzheimer Disease ◽  
Cognitive Decline ◽  
Visual Rating ◽  
Preliminary Study ◽  
Rapid Cognitive Decline ◽  
Posterior Atrophy

scholarly journals Predictive Factors of Rapid Cognitive Decline in Patients with Alzheimer Disease

2016 ◽  
Vol 6 (3) ◽  
pp. 549-558 ◽  
Author(s):  
Coralie Barbe ◽  
Isabella Morrone ◽  
J.L. Novella ◽  
Moustapha Dramé ◽  
Aurore Wolak-Thierry ◽  
...  
Keyword(s):  
Alzheimer Disease ◽  
Cognitive Decline ◽  
Caregiver Burden ◽  
Predictive Factors ◽  
Mini Mental State Examination ◽  
Care Plan ◽  
Factors Associated ◽  
Medical Needs ◽  
Rapid Cognitive Decline ◽  
State Examination

Aim: To determine predictive factors associated with rapid cognitive decline (RCD) in elderly patients suffering from Alzheimer disease (AD). Methods: Patients suffering from mild to moderate AD were included. RCD was defined as the loss of at least 3 points on the Mini-Mental State Examination (MMSE) over 12 months. Factors associated with RCD were identified by logistic regression. Results: Among 123 patients included, 61 were followed up until 12 months. RCD occurred in 46% of patients (n = 28). Polymedication (p < 0.0001), the fact that the caregiver was the child or spouse of the patient (p < 0.0001) and autonomy for washing (p < 0.0001) were protective factors against RCD, while the presence of caregiver burden (p < 0.0001) was shown to be a risk factor for RCD. Conclusion: Early detection of the RCD risk in AD patients could make it possible to anticipate the patient’s medical needs and adjust the care plan for caregiver burden.

Predictors of Rapid Cognitive Decline in Patients with Mild-to-Moderate Alzheimer Disease: A Prospective Cohort Study with 12-Month Follow-Up Performed in Memory Clinics

2018 ◽  
Vol 45 (1-2) ◽  
pp. 56-65 ◽  
Author(s):  
Achille E. Tchalla ◽  
Jean-Pierre Clément ◽  
Isabelle Saulnier ◽  
Betty Beaumatin ◽  
Florent Lachal ◽  
...  
Keyword(s):  
Cohort Study ◽  
Alzheimer Disease ◽  
Cognitive Decline ◽  
Mmse Score ◽  
Female Gender ◽  
Psychotic Symptoms ◽  
Factors Associated ◽  
History Of ◽  
Rapid Cognitive Decline ◽  
Treatment Onset

Background/Aims: Alzheimer disease (AD) is particularly devastating, with no cure, no means of prevention, and no proven way to slow progression. AD is associated with the worsening of cognitive function attributable to a variety of factors of which little is known. Our main objective was to determine factors associated with rapid cognitive decline (RCD) in older AD patients. Methods: We conducted a 12-month, prospective, multi-centre cohort study. Community-living individuals aged ≥65 years with mild-to-moderate AD were included. RCD was defined as the loss of ≥3 points/year in the Mini-Mental State Examination (MMSE) score. Potential individual-level predictors were collected at baseline. Results: A total of 521 individuals were included. The mean age was 80.8 ± 9.0 years and 66.0% were females. The average baseline MMSE score was 20.5 ± 4.5. The incidence of RCD was 40.9% (95% confidence interval [CI], 36.7–45.1). RCD was more common in patients with moderate (53.5%) than mild (22.3%) AD. The factors associated with RCD were: a parental history of dementia (odds ratio [OR], 2.32 [95% CI, 1.24–4.21], p = 0.011), psychotic symptoms (OR, 2.06 [95% CI, 1.22–3.48], p = 0.007), malnutrition (OR, 1.61 [95% CI, 1.06–2.63], p = 0.028), and the female gender (OR, 1.48 [95% CI, 1.03–2.15], p = 0.036). An MMSE score < 20 at treatment onset was also associated with RCD (p < 0.001). Conclusion: The factors associated with RCD were an MMSE score < 20 at treatment onset, female gender, psychotic symptoms, malnutrition, and a family history of dementia. These results may be directly relevant to patients, their families, and their physicians, enabling early anticipation of difficult clinical trajectories and poor functional outcomes.

scholarly journals Cognitive trajectories of patients with focal ß-amyloid deposition

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Si Eun Kim ◽  
Byungju Lee ◽  
Hyemin Jang ◽  
Juhee Chin ◽  
Ching Soong Khoo ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Neuropsychological Tests ◽  
Mixed Effects ◽  
Amnestic Mild Cognitive Impairment ◽  
Emission Tomography ◽  
Amyloid Pet ◽  
Cognitive Level ◽  
Visual Rating ◽  
Positron Emission ◽  
The Brain

Abstract Background The presence of ß-amyloid (Aß) in the brain can be identified using amyloid PET. In clinical practice, the amyloid PET is interpreted based on dichotomous visual rating, which renders focal Aß accumulation be read as positive for Aß. However, the prognosis of patients with focal Aß deposition is not well established. Thus, we investigated cognitive trajectories of patients with focal Aß deposition. Methods We followed up 240 participants (112 cognitively unimpaired [CU], 78 amnestic mild cognitive impairment [aMCI], and 50 Alzheimer’s disease (AD) dementia [ADD]) for 2 years from 9 referral centers in South Korea. Participants were assessed with neuropsychological tests and 18F-flutemetamol (FMM) positron emission tomography (PET). Ten regions (frontal, precuneus/posterior cingulate (PPC), lateral temporal, parietal, and striatum of each hemisphere) were visually examined in the FMM scan, and participants were divided into three groups: No-FMM, Focal-FMM (FMM uptake in 1–9 regions), and Diffuse-FMM. We used mixed-effects model to investigate the speed of cognitive decline in the Focal-FMM group according to the cognitive level, extent, and location of Aß involvement, in comparison with the No- or Diffuse-FMM group. Results Forty-five of 240 (18.8%) individuals were categorized as Focal-FMM. The rate of cognitive decline in the Focal-FMM group was faster than the No-FMM group (especially in the CU and aMCI stage) and slower than the Diffuse-FMM group (in particular in the CU stage). Within the Focal-FMM group, participants with FMM uptake to a larger extent (7–9 regions) showed faster cognitive decline compared to those with uptake to a smaller extent (1–3 or 4–6 regions). The Focal-FMM group was found to have faster cognitive decline in comparison with the No-FMM when there was uptake in the PPC, striatum, and frontal cortex. Conclusions When predicting cognitive decline of patients with focal Aß deposition, the patients’ cognitive level, extent, and location of the focal involvement are important.

P4-031 Moderate coffee consumption is associated with a less rapid cognitive decline in elderly men. The fine study

2004 ◽  
Vol 25 ◽  
pp. S481
Author(s):  
Boukje M. van Gelder ◽  
Brian Buijsse ◽  
Sandra Kalmijn ◽  
Marja Tijhuis ◽  
Simona Giampaoli ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Coffee Consumption ◽  
Elderly Men ◽  
Rapid Cognitive Decline

Different rates of cognitive decline in autosomal dominant and late‐onset Alzheimer disease

2021 ◽  
Author(s):  
Virginia D. Buckles ◽  
Chengjie Xiong ◽  
Randall J. Bateman ◽  
Jason Hassenstab ◽  
Ricardo Allegri ◽  
...  
Keyword(s):  
Alzheimer Disease ◽  
Cognitive Decline ◽  
Autosomal Dominant ◽  
Late Onset

scholarly journals The Rate of Cognitive Decline and Risk of Reaching Clinical Milestones in Alzheimer Disease

2003 ◽  
Vol 60 (8) ◽  
pp. 1137 ◽  
Author(s):  
Roee Holtzer ◽  
Domonick J. Wegesin ◽  
Steven M. Albert ◽  
Karen Marder ◽  
Karen Bell ◽  
...  
Keyword(s):  
Alzheimer Disease ◽  
Cognitive Decline

scholarly journals Cognitive Decline in a Colombian Kindred With Autosomal Dominant Alzheimer Disease

2016 ◽  
Vol 73 (4) ◽  
pp. 431 ◽  
Author(s):  
Daniel C. Aguirre-Acevedo ◽  
Francisco Lopera ◽  
Eliana Henao ◽  
Victoria Tirado ◽  
Claudia Muñoz ◽  
...  
Keyword(s):  
Alzheimer Disease ◽  
Cognitive Decline ◽  
Autosomal Dominant

Cognitive decline in Alzheimer disease: Impact of spirituality, religiosity, and QOL

Neurology ◽  
2007 ◽  
Vol 68 (18) ◽  
pp. 1509-1514 ◽  
Author(s):  
Y. Kaufman ◽  
D. Anaki ◽  
M. Binns ◽  
M. Freedman
Keyword(s):  
Alzheimer Disease ◽  
Cognitive Decline ◽  
Disease Impact
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