Clinical Dementia Rating Research Articles

Lecanemab Questions.

The recently published results of the 18-month randomized controlled trial of lecanemab, reporting the efficacy of the drug in slowing the progression of early Alzheimer disease, quickly led to approval by the FDA and widespread acceptance of lecanemab treatment. However, there are a number of matters that deserve further consideration. The success of blinding was not assessed, even as infusion reactions and the cerebral pathology underlying amyloid-related imaging abnormalities could have signaled to many participants that they were on drug, potentially exerting a potent placebo effect. The value of the outcome to participants is not defined in the absolute terms necessary for clinical decision-making, and the difference attributable to lecanemab was between 18% and 46% of estimates of the minimal clinically important difference on the Clinical Dementia Rating Scale Sum of Boxes. The attenuation of change on the Alzheimer's Disease Assessment Scale-Cognitive 14 achieved by lecanemab at 18 months was 50% of that achieved by donepezil at 6 months. Lecanemab treatment imposes a high treatment burden. The fact that the burden commences at the initiation of lecanemab treatment, whereas the benefit accrues years later requires us to take into account value discounting over time, which would significantly reduce the benefit/burden ratio. Finally, treatment with monoclonal antibodies to cerebral amyloid has consistently been associated with progressive cerebral atrophy. At the least, these issues should be raised in treatment discussions with patients. They also suggest a need to very seriously reconsider how we evaluate clinical trial results preparatory to translating them into clinical practice. Some suggestions are provided.

Influences of amyloid-β and tau on white matter neurite alterations in dementia with Lewy bodies

Dementia with Lewy bodies (DLB) is a neurodegenerative condition often co-occurring with Alzheimer’s disease (AD) pathology. Characterizing white matter tissue microstructure using Neurite Orientation Dispersion and Density Imaging (NODDI) may help elucidate the biological underpinnings of white matter injury in individuals with DLB. In this study, diffusion tensor imaging (DTI) and NODDI metrics were compared in 45 patients within the dementia with Lewy bodies spectrum (mild cognitive impairment with Lewy bodies (n = 13) and probable dementia with Lewy bodies (n = 32)) against 45 matched controls using conditional logistic models. We evaluated the associations of tau and amyloid-β with DTI and NODDI parameters and examined the correlations of AD-related white matter injury with Clinical Dementia Rating (CDR). Structural equation models (SEM) explored relationships among age, APOE ε4, amyloid-β, tau, and white matter injury. The DLB spectrum group exhibited widespread white matter abnormalities, including reduced fractional anisotropy, increased mean diffusivity, and decreased neurite density index. Tau was significantly associated with limbic and temporal white matter injury, which was, in turn, associated with worse CDR. SEM revealed that amyloid-β exerted indirect effects on white matter injury through tau. We observed widespread disruptions in white matter tracts in DLB that were not attributed to AD pathologies, likely due to α-synuclein-related injury. However, a fraction of the white matter injury could be attributed to AD pathology. Our findings underscore the impact of AD pathology on white matter integrity in DLB and highlight the utility of NODDI in elucidating the biological basis of white matter injury in DLB.

Brain Age Is Associated with Cognitive Outcomes of Cholinesterase Inhibitor Treatment in Patients with Mild Cognitive Impairment.

The effect of cholinesterase inhibitor (ChEI) on mild cognitive impairment (MCI) is controversial. Brain age has been shown to predict Alzheimer's disease conversion from MCI. The study aimed to show that brain age is related to cognitive outcomes of ChEI treatment in MCI. Brain MRI, the Clinical Dementia Rating (CDR) and Mini-Mental State Exam (MMSE) scores were retrospectively retrieved from a ChEI treatment database. Patients who presented baseline CDR of 0.5 and received ChEI treatment for at least 2 years were selected. Patients with stationary or improved cognition as verified by the CDR and MMSE were categorized to the ChEI-responsive group, and those with worsened cognition were assigned to the ChEI-unresponsive group. A gray matter brain age model was built with a machine learning algorithm by training T1-weighted MRI data of 362 healthy participants. The model was applied to each patient to compute predicted age difference (PAD), i.e. the difference between brain age and chronological age. The PADs were compared between the two groups. 58 patients were found to fit the ChEI-responsive criteria in the patient data, and 58 matched patients that fit the ChEI-unresponsive criteria were compared. ChEI-unresponsive patients showed significantly larger PAD than ChEI-responsive patients (8.44±8.78 years versus 3.87±9.02 years, p = 0.0067). Gray matter brain age is associated with cognitive outcomes after 2 years of ChEI treatment in patients with the CDR of 0.5. It might facilitate the clinical trials of novel therapeutics for MCI.

Assessing tilavonemab efficacy in early Alzheimer's disease via longitudinal item response theory modeling.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by declines in cognitive and functional severities. This research utilized the Clinical Dementia Rating (CDR) to assess the influence of tilavonemab on these deteriorations. Longitudinal Item Response Theory (IRT) models were employed to analyze CDR domains in early-stage AD patients. Both unidimensional and multidimensional models were contrasted to elucidate the trajectories of cognitive and functional severities. We observed significant temporal increases in both cognitive and functional severities, with the cognitive severity deteriorating at a quicker rate. Tilavonemab did not demonstrate a statistically significant effect on the progression in either severity. Furthermore, a significant positive association was identified between the baselines and progression rates of both severities. While tilavonemab failed to mitigate impairment progression, our multidimensional IRT analysis illuminated the interconnected progression of cognitive and functional declines in AD, suggesting a comprehensive perspective on disease trajectories. Utilized longitudinal Item Response Theory (IRT) models to analyze the Clinical Dementia Rating (CDR) domains in early-stage Alzheimer's disease (AD) patients, comparing unidimensional and multidimensional models.Observed significant temporal increases in both cognitive and functional severities, with cognitive severity deteriorating at a faster rate, while tilavonemab showed no statistically significant effect on either domain's progression.Found a significant positive association between the baseline severities and their progression rates, indicating interconnected progression patterns of cognitive and functional declines in AD.Introduced the application of multidimensional longitudinal IRT models to provide a comprehensive perspective on the trajectories of cognitive and functional severities in early AD, suggesting new avenues for future research including the inclusion of time-dependent random effects and data-driven IRT models.

Marijuana use among community-dwelling older adults: A population-based study.

There is a paucity of population-level data on marijuana use and mental health and functioning in older adults. We analyzed cross-sectional data (n=910) from a well-characterized cohort, the Monongahela-Youghiogheny Healthy Aging Team (MYHAT) study. MYHAT is an age-stratified random sample of the population age 65years and older from a small-town in the USA. Half the sample was female and half were over 75 (Mean age=77). Most participants were non-Hispanic White. Marijuana use was assessed by self-report and symptoms of mood disorders were screened using the modified Centers for Epidemiological Studies-Depression Scale and the Generalized Anxiety Disorder screener. Cognition was assessed by the Mini-Mental State Examination and a neuropsychological test battery; functioning using the OARS Activities of Daily Living and Instrumental Activities of Daily Living; and overall assessment using the Clinical Dementia Rating (CDR®). One in five MYHAT participants had a history of marijuana use and 5% reported recent use, primarily for pain (41%) and recreation/relaxation (37%). Recent use was associated with cigarette and alcohol use, symptoms of depression or anxiety, and impairments in attention. Twenty-percent of community-dwelling older adults living in a US state where recreational marijuana use is illegal had a history of marijuana use. Recent marijuana use was less common but, consistent with prior research, associated with other substance use and poorer mental health.

Juxtaventricular and periventricular white matter hyperintensities (WMH) are associated with cognitive dysfunction in Patients with Alzheimer’s Disease

Introduction White matter hyperintensities (WMH) is common among the elderly. WMH are associated with accelerated cognitive dysfunction and increased risk for Alzheimer`s disease (AD). Although WMHs play a key role in lowering the threshold for the clinical expression of dementia in AD-related pathology, the clinical significance of their location is not fully understood.Objectives The aim of this study was twofold: 1) To investigate the quantitative association between WMH and cognitive function in AD; 2) To investigate whether there is any difference in the association between subclassified WMH and cognitive function in AD.MethodsA total of 171 patients with AD underwent clinical evaluations including volumetric brain MRI study and neuropsychological tests using the CERAD-K neuropsychological assessment battery. WMH volume was calculated using automated quantification method with SPM and MATLAB image processing software. According to the distance from the lateral ventricular surface, WMH within 3 mm, WMH within 3-13 mm, and WMH over 13 mm were classified as juxtaventricular WMH (JVWMH), periventricular WMH (PVWMH) and deep WMH (DWMH), respectively. WMH volume data was logarithmically transformed because it was right-skewed.ResultsWMH volume in AD was 20.7 ± 18.2 ml. Total WMH volume was associated with poor performance in categorical verbal fluency test (p = 0.008) and word list memory test (p = 0.023). JVWMH volume was associated with poor performances on categorical verbal fluency test (p = 0.013) and forward digit span test (p = 0.037). PVWMH volume was associated with poor performances on categorical verbal fluency test (p = 0.011) and word list memory test (p = 0.021), whereas DWMH volume showed no association with cognitive tests. Total WMH and PVWMH volume were also related to Clinical Dementia Rating scale sum of boxes score (p=0.022).Image:ConclusionsGreater JVWMH and PVWMH are related with concurrent impairments in semantic memory and frontal function independent of the hippocampal volume. However, DWMH volume is not associated with any cognitive function. Only PVWMH among subclassified WMH are related to the severity of AD.Disclosure of InterestNone Declared

Characterization of African-American Super-Agers in the National Alzheimer's Coordinating Center cohort.

"Super-agers" are adults aged ≥80 with cognitive performance similar to persons two to three decades younger. Characteristics such as larger hippocampal volume, APOE-ε4 allele absence, higher educational attainment, female sex, and lifelong cognitive stimulation are associated with cognitive performance compatible with super-aging. These findings are based on predominantly white research samples. Limited data are available on African-American super-agers. To fill this gap, we explored potential factors associated with super-aging in older African-American adults. Data from African-American participants aged ≥80 in the National Alzheimer's Coordinating Center (NACC) dataset were analyzed. Using global Clinical Dementia Rating (CDR) scores, participants were first categorized as impaired (score ≥0.5) or non-impaired/normal cognition (NC) (score = 0). From the NC group, super-agers were identified using NACC-data-driven cutoffs. Participants were considered super-agers if their memory performance was similar to persons aged 50-60 with NC, and their performance on other domains was within one standard deviation of the mean for persons aged ≥80. We examined group characteristics (NC, super-ager, impaired) using chi-square and ANOVA with pairwise comparisons. Multinomial logistic regression, adjusted for sex and education, evaluated correlates of super-ager group assignment. Data for 1285 African-American participants aged ≥80 were analyzed. We identified 24.7% (n = 316) NC, 4.8% (n = 61) super-agers, and 70.6% (n = 905) impaired. Super-agers were mostly female and more educated, had similar vascular comorbidities as the other groups, and had less sleep disorders, depression, and alcohol use. After adjusting for sex and education, super-ager group assignment was associated with less sleep disorders, less depression, and moderate alcohol use. Participants with controlled vascular risk, mental health, alcohol use, and sleep disorders tended to be in the super-ager group. These factors may be important focus areas in clinical practice to support cognitive resilience with aging in older African-American adults.

Association between T1w/T2w ratio in white matter and cognitive function in Alzheimer’s disease

Loss of myelin in the brain may lead to cognitive decline in Alzheimer's disease (AD). The ratio of T1 weighted/T2 weighted (T1w/T2w) on magnetic resonance imaging has been used as a proxy for myelin content in the brain. Using this approach, we investigated the correlation between the white matter (WM) T1w/T2w ratio and both cognitive scores and disease progression in AD. A total of 93 participants who were cognitively unimpaired or diagnosed with mild cognitive impairment or AD dementia were recruited between March 2021 and November 2022. All participants were assessed using neuropsychological tests, and a subset of the participants was assessed every 1 year to monitor disease progression. We observed significant positive associations between the WM T1w/T2w ratio and executive function within the fornix, sagittal stratum, anterior internal capsule, and body of the corpus callosum (False discovery rate [FDR]-corrected P-value < 0.05). There was a marginal interaction between the WM T1w/T2w ratio of the left anterior internal capsule and the longitudinal change in sum of boxes of the Clinical Dementia Rating Scale (FDR-corrected P-value = 0.05). The present study demonstrated that the WM T1w/T2w ratio was associated with executive function and disease progression, suggesting that it may be a novel neuroimaging marker for AD.

Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia

The default mode network (DMN) is a large neural network that has a significant correlation with Alzheimer's disease (AD). Grey matter volume (GMV) and functional connectivity (FC) involving the regions of the DMN have been noted to differ significantly between AD and healthy older adults. Nevertheless, there is a paucity of data on the structural and functional changes in the DMN of AD patients in Malaysia. We conducted a cross-sectional study in Klang Valley, Malaysia, to evaluate AD subjects compared to healthy controls (HC) using a resting-state functional MRI (rs-fMRI) experiment. We recruited 22 subjects (AD=11, HC=11) and conducted neuropsychological tests such as the Montreal Cognitive Assessment (MoCA), Mini Mental State Examination (MMSE), and Clinical Dementia Rating (CDR). The subjects then underwent rs-fMRI scans, and subsequently, we quantitatively analysed the GMV by Voxel based Morphometry (VBM) using the structural data. We also utilised the CONN toolbox on Statistical Parametric Mapping (SPM) software to evaluate the FC and activation of the nodes of the DMN. In comparison with the HC group, the AD group demonstrated a reduction in GMV in the right and left inferior temporal gyrus, left superior frontal gyrus, right superior frontal gyrus medial segment, right gyrus rectus, right temporal lobe, left putamen, and right precuneus. Moreover, there was a significant decrease in the FC of the nodes of the DMN noted on rs-fMRI (cluster-size corrected p&lt;0.05). In particular, the precuneus and anterior cingulate cortex had decreased FC in AD compared to HC. Hence, structural and resting-state fMRI can detect distinct imaging biomarkers of AD based on GMV and DMN functional connectivity profiles. This tool can be used as a non-invasive tool for improving the feature detection and diagnosis of AD in the Malaysian population.

Disentangling and quantifying the relative cognitive impact of concurrent mixed neurodegenerative pathologies

Neurodegenerative pathologies such as Alzheimer disease neuropathologic change (ADNC), Lewy body disease (LBD), limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), and cerebrovascular disease (CVD) frequently coexist, but little is known about the exact contribution of each pathology to cognitive decline and dementia in subjects with mixed pathologies. We explored the relative cognitive impact of concurrent common and rare neurodegenerative pathologies employing multivariate logistic regression analysis adjusted for age, gender, and level of education. We analyzed a cohort of 6,262 subjects from the National Alzheimer’s Coordinating Center database, ranging from 0 to 6 comorbid neuropathologic findings per individual, where 95.7% of individuals had at least 1 neurodegenerative finding at autopsy and 75.5% had at least 2 neurodegenerative findings. We identified which neuropathologic entities correlate most frequently with one another and demonstrated that the total number of pathologies per individual was directly correlated with cognitive performance as assessed by Clinical Dementia Rating (CDR®) and Mini-Mental State Examination (MMSE). We show that ADNC, LBD, LATE-NC, CVD, hippocampal sclerosis, Pick disease, and FTLD-TDP significantly impact overall cognition as independent variables. More specifically, ADNC significantly affected all assessed cognitive domains, LBD affected attention, processing speed, and language, LATE-NC primarily affected tests related to logical memory and language, while CVD and other less common pathologies (including Pick disease, progressive supranuclear palsy, and corticobasal degeneration) had more variable neurocognitive effects. Additionally, ADNC, LBD, and higher numbers of comorbid neuropathologies were associated with the presence of at least one APOE ε4 allele, and ADNC and higher numbers of neuropathologies were inversely correlated with APOE ε2 alleles. Understanding the mechanisms by which individual and concomitant neuropathologies affect cognition and the degree to which each contributes is an imperative step in the development of biomarkers and disease-modifying therapeutics, particularly as these medical interventions become more targeted and personalized.

Assessment of Behavioral and Psychological Symptoms in Dementia, Associated Risk Factors and Clinical Correlates

Background: The presence of behavioral and psychological symptoms in dementia (BPSD) are associated with hospitalization, rapid cognitive decline, poor quality of life and higher caregiver burden. Thus, we aim to characterize the BPSD symptoms, its relationship to dementia-related risk factors and their predictive value, if any.Methodology: In 48 adults (mean age: 70.27 ± 10.08) with major neurocognitive disorder (MNCD) as per diagnostic and statistical manual of mental disorders, 5th edition and with Hindi mental status examination scores less than or equal to 23 were recruited. Patients were assessed for cognition by hindi Montreal cognitive assessment (HMOCA) and the clinical dementia rating scale (CDR). BPSD and caregiver burden were assessed using the neuropsychiatric inventory (NPI) and burden assessment schedule (BAS). The correlation of NPI scores with socio-demographic variables and clinical variables was assessed. A forward stepwise linear regression (using p-value &lt; .05) was used to identify possible predictors of the NPI scores.Results: The majority of participants were predominantly males, 25 (52.1%), from urban regions, belonged to middle-class socio-economic status and had severe grading (HMOCA (&lt; 10) of MNCD (25 (52.2%) but had moderate caregiver burden (25 (52.2%)). The most common MNCD type was due to Alzheimer’s disease (22 (45.8%)). Cortical atrophy and ischemic infarcts were the most common neuroimaging abnormalities reported (7 (14.9%)). Mean HMOCA, clinical dementia rating scale (CDR), NPI and BAS scores were 9.13 ± 6.96, 1.50 ± 1.05, 41.79 ± 27.06 and 68.65 ± 22.84, respectively. The most common BPSD domains were sleep disturbance (60.4%) and hallucinations (56.25%). Among the established risk factors, hypertension was present in the highest proportion (21 (43.8%)). As per the stepwise logistic regression model CDR scores, smoking status and HTN were predicted risk factors (R²: 0.452; p = 0.045).Conclusion: Irritability/agitation is most prevalent BPSD. The severity of MNCD, smoking and hypertension may help in the prediction of BPSD and their role may have to be explored in further studies.

Abstract P329: Lifetime Risk of Dementia: The Atherosclerosis Risk in Communities (ARIC) Study

Introduction: Prior studies suggest that 15-20% of adults will develop dementia after midlife. However, current lifetime risk estimates are based on limited dementia ascertainment, potentially resulting in underestimation. Methods: We conducted a prospective cohort analysis using data from the Atherosclerosis Risk in Communities Study (ARIC) (baseline 1990-1992). We used non-parametric cumulative incidence function estimation to calculate lifetime risk of dementia while accounting for the competing risk of death, overall and stratified by demographics and APOE ε 4 status. Dementia was ascertained until December 31, 2019 by: (1) cognitive testing at study visits, with diagnoses generated using a standardized computer algorithm and confirmed by a panel of experts; (2) semiannual telephone cognitive testing and Clinical Dementia Rating interviews with informants; and (3) ICD codes from hospital records and death certificates. Results: We included 13,358 participants (mean age: 57 years; 25% of Black race; 55% female sex; 31% carried at least one APOE ε 4 allele). Over a median follow-up of 24 (IQR: 20, 29) years, there were 2,812 incident cases of dementia. At age 55, the lifetime risk of dementia (up to age 95) was 43% (Fig A) . Adults with two copies of the APOE ε 4 allele had substantially higher lifetime risk (61%) of dementia compared to those with one copy (48%) and those none (40%), with differences beginning at age ~70 years (Fig B) . Lifetime risk was higher in women and Black adults (Fig C-D) . Conclusion: More than 4 in 10 adults will develop dementia after midlife. Comprehensive capture of dementia in the ARIC study results in lifetime risk estimate substantially exceeding prior research.

Efficacy and safety of gantenerumab in the treatment of Alzheimer's disease: A meta-analysis of randomized controlled trials

IntroductionGantenerumab has garnered considerable attention for its potential to modify the natural course of Alzheimer's disease. However, recent studies have shown mixed results for the use of this medication for the treatment of Alzheimer's Disease. Therefore, this review compared the effects of Gantenerumab with placebo in patients with Alzheimer's disease. MethodsLiterature searches were conducted in PubMed, Embase and Cochrane database from inception to December 2023. Two independent authors (MS and LV) performed the study selection, data extraction and quality assessment. The outcomes of this review were: Clinical Dementia Rating - Sum of Boxes (CDR-SB), the Alzheimer's Disease Assessment Scale (ADAS-Cog), the Mini-Mental State Evaluation (MMSE) and the incidence of Amyloid-Related Imaging Abnormalities with Edema (ARIA-E) or Amyloid-Related Imaging Abnormalities with Hemosiderosis (ARIA-H). Meta-analysis were performed using Review Manager 5.4 (Cochrane Collaboration). ResultsFour studies reporting data for 2,848 patients were included in this review. The lenght of follow-up assessments ranged from 50 to 104 weeks. When compared to placebo, Gantenerumab was significantly associated with a lower ADAS-Cog score (MD -1.05; 95 % CI: -1.85 to -0.25) and lower MMSE score (MD -0.31; 95 % CI: -0.55 to -0.07). There were no differences in the CDR-SB score. Gantenerumab group had a higher incidence of ARIA-E (RR 8.94; 95 % CI: 6.22 to 12.84). ConclusionGantenerumab showed negative effects on cognitive outcomes of people with Alzheimer's Disease. There was a higher incidence of ARIA-E and ARIA-H for gantenerumab. Additional high quality studies are needed to draw more robust conclusions about this treatment.

Neuropsychiatric Symptoms in Frontotemporal Dementia: More Than Just Noise?

Neuropsychiatric symptoms cause significant suffering and poor quality of life for patients and their caregivers. They are not considered specific to frontotemporal dementia (FTD); therefore, their clinical role and impact might be underestimated. The aims of the present study are to: 1) describe the prevalence of neuropsychiatric symptoms in FTD starting from the prodromal stage, 2) define their association with disease severity, 3) identify symptoms which are unrelated to FTD-specific symptoms, and 4) assess their association with clinical features and outcomes. In this retrospective study, we analyzed data of 461 FTD patients, including behavioral variant of FTD (bvFTD, n = 318) and primary progressive aphasia (PPA, n = 143). Neuropsychiatric symptoms were assessed using the Neuropsychiatric Inventory, and patients' staging and global disease severity were estimated using the Clinical Dementia Rating plus NACC FTLD. The most common neuropsychiatric symptoms in prodromal FTD were irritability (48%), depression (35%), and anxiety (34%); delusions were reported in 6%of prodromal bvFTD cases. The severity of most neuropsychiatric symptoms increased with global disease severity. Psychosis (delusions and hallucinations) and mood symptoms (depression and anxiety) were mostly independent from FTD-specific symptoms. Psychosis was associated with older age, higher disease severity, shorter survival rate, and was higher in bvFTD than in PPA. Neuropsychiatric symptoms are common in patients with FTD, also in the prodromal phase. Psychosis might be unrelated to FTD pathology, and be associated with worse clinical outcomes. The prompt detection and treatment of these symptoms might improve patient's management and quality of life.

Does the Cognitive Change Index Predict Future Cognitive and Clinical Decline? Longitudinal Analysis in a Demographically Diverse Cohort.

The Cognitive Change Index (CCI) is a widely-used measure of self-perceived cognitive ability and change. Unfortunately, it is unclear if the CCI predicts future cognitive and clinical decline. We evaluated baseline CCI to predict transition from normal cognition to cognitive impairment in nondemented older adults and in predementia groups including, subjective cognitive decline, motoric cognitive risk syndrome, and mild cognitive impairment. Different versions of the CCI were assessed to uncover any differential risk sensitivity. We also examined the effect of ethnicity/race on CCI. Einstein Aging Study participants (N = 322, Mage = 77.57±4.96, % female=67.1, Meducation = 15.06±3.54, % non-Hispanic white = 46.3) completed an expanded 40-item CCI version (CCI-40) and neuropsychological evaluation (including Clinical Dementia Rating Scale [CDR], Montreal Cognitive Assessment, and Craft Story) at baseline and annual follow-up (Mfollow-up=3.4 years). CCI-40 includes the original 20 items (CCI-20) and the first 12 memory items (CCI-12). Linear mixed effects models (LME) and generalized LME assessed the association of CCI total scores at baseline with rate of decline in neuropsychological tests and CDR. In the overall sample and across predementia groups, the CCI was associated with rate of change in log odds on CDR, with higher CCI at baseline predicting faster increase in the odds of being impaired on CDR. The predictive validity of the CCI broadly held across versions (CCI-12, 20, 40) and ethnic/racial groups (non-Hispanic black and white). Self-perception of cognitive change on the CCI is a useful marker of dementia risk in demographically/clinically diverse nondemented samples. All CCI versions successfully predicted decline.

Psychosis in Alzheimer’s disease is associated with specific changes in brain MRI volume, cognition and neuropathology

Psychosis in Alzheimer’s Disease (AD) is prevalent and indicates poor prognosis. However, the neuropathological, cognitive and brain atrophy patterns underlying these symptoms have not been fully elucidated. In this study, we evaluated 178 patients with AD neuropathological change (ADNC) and ante-mortem volumetric brain magnetic resonance imaging (MRI). Presence of psychosis was determined using the Neuropsychiatric Inventory Questionnaire. Clinical Dementia Rating Sum-of-boxes (CDR-SB) was longitudinally compared between groups with a follow-up of 3000 days using mixed-effects multiple linear regression. Neuropsychological tests closest to the time of MRI and brain regional volumes were cross-sectionally compared. Psychosis was associated with lower age of death, higher longitudinal CDR-SB scores, multi-domain cognitive deficits, higher neuritic plaque severity, Braak stage, Lewy Body pathology (LB) and right temporal lobe regional atrophy. Division according to the presence of LB showed differential patterns of AD-typical pathology, cognitive deficits and regional atrophy. In conclusion, psychosis in ADNC with and without LB has clinical value and associates with subgroup patterns of neuropathology, cognition and regional atrophy.

Enlarged perivascular spaces are associated with white matter injury, cognition and inflammation in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy.

Enlarged perivascular spaces have been previously reported in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, but their significance and pathophysiology remains unclear. We investigated associations of white matter enlarged perivascular spaces with classical imaging measures, cognitive measures and plasma proteins to better understand what enlarged perivascular spaces represent in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy and whether radiographic measures of enlarged perivascular spaces would be of value in future therapeutic discovery studies for cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Twenty-four individuals with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy and 24 age- and sex-matched controls were included. Disease status was determined based on the presence of NOTCH3 mutation. Brain imaging measures of white matter hyperintensity, brain parenchymal fraction, white matter enlarged perivascular space volumes, clinical and cognitive measures as well as plasma proteomics were used in models. White matter enlarged perivascular space volumes were calculated via a novel, semiautomated pipeline, and levels of 7363 proteins were quantified in plasma using the SomaScan assay. The relationship of enlarged perivascular spaces with global burden of white matter hyperintensity, brain atrophy, functional status, neurocognitive measures and plasma proteins was modelled with linear regression models. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy and control groups did not exhibit differences in mean enlarged perivascular space volumes. However, increased enlarged perivascular space volumes in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy were associated with increased white matter hyperintensity volume (β = 0.57, P = 0.05), Clinical Dementia Rating Sum-of-Boxes score (β = 0.49, P = 0.04) and marginally with decreased brain parenchymal fraction (β = -0.03, P = 0.10). In interaction term models, the interaction term between cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy disease status and enlarged perivascular space volume was associated with increased white matter hyperintensity volume (β = 0.57, P = 0.02), Clinical Dementia Rating Sum-of-Boxes score (β = 0.52, P = 0.02), Mini-Mental State Examination score (β = -1.49, P = 0.03) and marginally with decreased brain parenchymal fraction (β = -0.03, P = 0.07). Proteins positively associated with enlarged perivascular space volumes were found to be related to leukocyte migration and inflammation, while negatively associated proteins were related to lipid metabolism. Two central hub proteins were identified in protein networks associated with enlarged perivascular space volumes: CXC motif chemokine ligand 8/interleukin-8 and C-C motif chemokine ligand 2/monocyte chemoattractant protein 1. The levels of CXC motif chemokine ligand 8/interleukin-8 were also associated with increased white matter hyperintensity volume (β = 42.86, P = 0.03), and levels of C-C motif chemokine ligand 2/monocyte chemoattractant protein 1 were further associated with decreased brain parenchymal fraction (β = -0.0007, P < 0.01) and Mini-Mental State Examination score (β = -0.02, P < 0.01) and increased Trail Making Test B completion time (β = 0.76, P < 0.01). No proteins were associated with all three studied imaging measures of pathology (brain parenchymal fraction, enlarged perivascular spaces, white matter hyperintensity). Based on associations uncovered between enlarged perivascular space volumes and cognitive functions, imaging and plasma proteins, we conclude that white matter enlarged perivascular space volumes may capture pathologies contributing to chronic brain dysfunction and degeneration in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy.

Systemic inflammatory markers and their association with Alzheimer's disease: A cross-sectional analysis.

To investigate the possible role of systemic inflammatory markers (interleukin; IL-6, C-reactive protein; CRP, and albumin levels) in the development of Alzheimer's dementia (AD) and also find their association with the severity of disease. It was a cross-sectional study. Patients with Alzheimer's dementia (AD) and vascular dementia (VaD) from outpatient settings in tertiary care hospitals and non-demented controls (NDC) were recruited from the community. Individuals aged 50 years and older (n = 110) were included. Serum levels of IL-6, CRP, and albumin levels in patients with AD, VaD, and NDC were measured. The clinical Dementia Rating Scale was used for staging the severity of dementia. Serum levels of IL-6, CRP, and serum albumin were compared in study subjects and also analyzed with the severity of dementia in dementia subgroups. Our main finding was that serum levels of IL-6 were significantly elevated in patients with AD and VaD (7.79 and 6.60) as compared to NDC (2.98) (P < 0.001). No significant difference in CRP or albumin levels was observed between the three groups. Serum IL-6 and CRP showed a positive correlation with the severity of AD, though the correlation was significant only for IL-6 (r = 0.777). The serum albumin levels showed a statistically significant negative correlation with the severity of AD (r > 0.3 but <0.5). The study demonstrates a notable association between systemic inflammatory markers, particularly IL-6, and the severity of AD, indicating their potential role in its pathogenesis. These findings suggest that targeting these markers could offer new insights into therapeutic strategies for AD.

Prevalence of swallowing disorder in different dementia subtypes among older adults: a meta-analysis.

Ageing process and abnormal protein accumulation in dementia damage neural pathways affecting the swallowing process and leading to swallowing disorder. To estimate the prevalence of swallowing disorder among older adults with different dementia subtypes. We conducted a systematic search across multiple databases, including PubMed, Embase, Scopus, Web of Science and OVID Medline. The meta-analysis employed R (version 4.0.2) and utilised a generalised linear mixed model with a random-effect approach to estimate the pooled prevalence of swallowing disorder among older adults, considering various dementia subtypes. The quality of included studies was assessed using Hoy's criteria. Heterogeneity was identified through Cochrane's Q and I2 statistics. To further explore heterogeneity, moderator analysis was performed to identify the contributing variables among the included studies. Eighteen studies with 12,532 older adults with different dementia subtypes were enrolled in our meta-analysis. The pooled prevalence of swallowing disorder among older adults with dementia was 58%, with 46.5% for Alzheimer's dementia, 34.9% for Parkinson's dementia, 18.8% for vascular dementia, 16.3% for mixed dementia and 12.2% for Lewy body dementia. According to assessment tools, Alzheimer's dementia had the highest prevalence, with 58% in instrumental assessments and 39% in clinical assessments. Medical history, Alzheimer's dementia, moderate-to-severe Clinical Dementia Rating, delayed oral phase, delayed pharyngeal phase and poor tongue motility contributed to the heterogeneity of the included studies. More than half of older adults with dementia demonstrate to have swallowing disorder. Our findings offer valuable insights to healthcare professionals for the identification of swallowing disorder in ageing population with dementia.

Comparative Efficacy and Safety of Monoclonal Antibodies for Cognitive Decline in Patients with Alzheimer's Disease: A Systematic Review and Network Meta-Analysis.

Recent clinical trials of anti-Aβ monoclonal antibodies (mAbs) in the treatment of early Alzheimer's disease (AD) have produced encouraging cognitive and clinical results. The purpose of this network meta-analysis (NMA) was to compare and rank mAb drugs according to their efficacy and safety. PubMed, Embase, Web of Science, and the Cochrane Library were searched for randomized controlled trials testing various mAbs for the treatment of cognitive decline in patients with AD, up to March 31, 2023. R software (version 4.2.3) along with JAGS and STATA software (version 15.0) were used for statistical analysis. Odds ratio (OR) for binary variables, mean difference (MD) for continuous variables, and their 95% confidence intervals (CI) were utilized to estimate treatment effects and rank probabilities for each mAb in terms of safety and efficacy outcomes. We calculated the surface under the cumulative ranking area (SUCRA) to evaluate each mAb, with higher SUCRA values indicating better efficacy or lower likelihood of adverse events. Thirty-three randomized controlled trials with a total of 21,087 patients were included in the current NMA, involving eight different mAbs. SUCRA values showed that aducanumab (87.01% and 99.37%, respectively) was the most likely to achieve the best therapeutic effect based on the changes of Mini-Mental State Examination (MMSE) and Clinical Dementia Rating scale Sum of Boxes (CDR-SB) scores. Donanemab (88.50% and 99.00%, respectively) performed better than other therapies for Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-cog) and Positron Emission Tomography-Standardized Uptake Value ratio (PET-SUVr). Lecanemab (87.24%) may be the most promising way to slow down the decrease of Alzheimer's Disease Cooperative Study-Activities of Daily Living (ADCS-ADL) score. In the analysis of the incidence of adverse events (subjects with any treatment-emergent adverse event), gantenerumab (89.12%) had the least potential for adverse events, while lecanemab (0.79%) may cause more adverse events. Solanezumab (95.75% and 80.38%, respectively) had the lowest incidence of amyloid-related imaging abnormalities characterized by edema and effusion (ARIA-E) and by cerebral microhemorrhages (ARIA-H) of the included immunotherapies. While SUCRA values provided a comprehensive measure of treatment efficacy, the inherent statistical uncertainty required careful analysis in clinical application. Despite immunotherapies significantly increasing the risks of adverse events and ARIA, the data suggest that mAbs can effectively improve the cognitive function of patients with mild and moderate AD. According to the NMA, aducanumab was the most likely to achieve significant improvements in different cognitive and clinical assessments (statistically improved MMSE and CDR-SB), followed by donanemab (statistically improved ADAS-Cog, and PET-SUVr) and lecanemab (statistically improved ADCS-ADL).