Alzheimer's Disease Assessment Scale Research Articles

Improving Regression Analysis with Imputation in a Longitudinal Study of Alzheimer's Disease.

Missing data is prevalent in the Alzheimer's Disease Neuroimaging Initiative (ADNI). It is common to deal with missingness by removing subjects with missing entries prior to statistical analysis; however, this can lead to significant efficiency loss and sometimes bias. It has yet to be demonstrated that the imputation approach to handling this issue can be valuable in some longitudinal regression settings. The purpose of this study is to demonstrate the importance of imputation and how imputation is correctly done in ADNI by analyzing longitudinal Alzheimer's Disease Assessment Scale -Cognitive Subscale 13 (ADAS-Cog 13) scores and their association with baseline patient characteristics. We studied 1,063 subjects in ADNI with mild cognitive impairment. Longitudinal ADAS-Cog 13 scores were modeled with a linear mixed-effects model with baseline clinical and demographic characteristics as predictors. The model estimates obtained without imputation were compared with those obtained after imputation with Multiple Imputation by Chained Equations (MICE). We justify application of MICE by investigating the missing data mechanism and model assumptions. We also assess robustness of the results to the choice of imputation method. The fixed-effects estimates of the linear mixed-effects model after imputation with MICE yield valid, tighter confidence intervals, thus improving the efficiency of the analysis when compared to the analysis done without imputation. Our study demonstrates the importance of accounting for missing data in ADNI. When deciding to perform imputation, care should be taken in choosing the approach, as an invalid one can compromise the statistical analyses.

Machine Learning-Based Perivascular Space Volumetry in Alzheimer Disease.

Impaired perivascular clearance has been suggested as a contributing factor to the pathogenesis of Alzheimer disease (AD). However, it remains unresolved when the anatomy of the perivascular space (PVS) is altered during AD progression. Therefore, this study investigates the association between PVS volume and AD progression in cognitively unimpaired (CU) individuals, both with and without subjective cognitive decline (SCD), and in those clinically diagnosed with mild cognitive impairment (MCI) or mild AD. A convolutional neural network was trained using manually corrected, filter-based segmentations (n = 1000) to automatically segment the PVS in the centrum semiovale from interpolated, coronal T2-weighted magnetic resonance imaging scans (n = 894). These scans were sourced from the national German Center for Neurodegenerative Diseases Longitudinal Cognitive Impairment and Dementia Study. Convolutional neural network-based segmentations and those performed by a human rater were compared in terms of segmentation volume, identified PVS clusters, as well as Dice score. The comparison revealed good segmentation quality (Pearson correlation coefficient r = 0.70 with P < 0.0001 for PVS volume, detection rate in cluster analysis = 84.3%, and Dice score = 59.0%). Subsequent multivariate linear regression analysis, adjusted for participants' age, was performed to correlate PVS volume with clinical diagnoses, disease progression, cerebrospinal fluid biomarkers, lifestyle factors, and cognitive function. Cognitive function was assessed using the Mini-Mental State Examination, the Comprehensive Neuropsychological Test Battery, and the Cognitive Subscale of the 13-Item Alzheimer's Disease Assessment Scale. Multivariate analysis, adjusted for age, revealed that participants with AD and MCI, but not those with SCD, had significantly higher PVS volumes compared with CU participants without SCD (P = 0.001 for each group). Furthermore, CU participants who developed incident MCI within 4.5 years after the baseline assessment showed significantly higher PVS volumes at baseline compared with those who did not progress to MCI (P = 0.03). Cognitive function was negatively correlated with PVS volume across all participant groups (P ≤ 0.005 for each). No significant correlation was found between PVS volume and any of the following parameters: cerebrospinal fluid biomarkers, sleep quality, body mass index, nicotine consumption, or alcohol abuse. The very early changes of PVS volume may suggest that alterations in PVS function are involved in the pathophysiology of AD. Overall, the volumetric assessment of centrum semiovale PVS represents a very early imaging biomarker for AD.

The associations of serum isoleucine with Alzheimer`s disease on assisting diagnosis, predicting conversion and assessing cognition.

Advances in blood biomarker discovery have enabled the improved diagnosis and prognosis of Alzheimer's disease (AD). Most branched-chain amino acids, except isoleucine (Ile), are correlated with both mild cognitive impairment (MCI) and AD. Therefore, this study investigated the association between serum Ile levels and MCI/AD. This study stratified 700 participants from the Alzheimer's Disease Neuroimaging Initiative database into four diagnostic groups: cognitively normal, stable MCI, progressive MCI, and AD. Analysis of covariance and chi-square analyses were used to test the demographic data. Receiver operating curve analyses were used to calculate the diagnostic accuracy of different biomarkers and were compared using MedCalc 20. Additionally, Cox proportional hazards models were used to measure the ability of serum Ile levels to predict disease conversion. Finally, a linear mixed-effects model was used to evaluate the associations between serum Ile levels and cognition, brain structure, and metabolism. Serum Ile concentration was decreased in AD and demonstrated significant diagnostic efficacy. The combination of serum Ile and cerebrospinal fluid (CSF) phosphorylated tau (P-tau) levels improved the diagnostic accuracy in AD compared to T-tau alone. Serum Ile levels significantly predicted the conversion from MCI to AD (cutoff value = 78.3 μM). Finally, the results of this study also revealed a correlation between serum Ile levels and the Alzheimer's Disease Assessment Scale cognitive subscale Q4. Serum Ile level may be a potential biomarker of AD. Ile had independent diagnostic efficacy and significantly improved the diagnostic accuracy of CSF P-tau in AD. Patients with MCI with a lower serum Ile level had a higher risk of progression to AD and a worse cognition assessment.

The association of the 24-hour activity cycle profiles with cognition in older adults with mild cognitive impairment: A cross-sectional study.

The relationship of cognition and the 24-hour activity cycles (24-HAC), encompassing physical activity, sedentary behaviour, and sleep, in older adults with mild cognitive impairment (MCI) remains uncertain. Distinct combinations of 24-HAC behaviours can characterize unique activity profiles and influence cognition. We aimed to characterize 24-HAC activity profiles in older adults with MCI and assess whether differences in cognition exist across profiles. We conducted a cross-sectional analysis utilizing baseline data from three randomized controlled trials involving 253 community-dwelling older adults (55+ years) with MCI (no functional impairment, dementia diagnosis, and Montreal Cognitive Assessment score <26/30). Using MotionWatch8© wrist-worn actigraphy (+5 days), we captured the 24-HAC. Cognition was indexed by the Alzheimer's Disease Assessment Scale Cognitive Plus (ADAS-Cog-Plus). Compositional data and latent profile analyses identified distinct 24-HAC activity profiles. Analysis of covariance examined whether 24-HAC activity profiles differed in cognition. Four distinct activity profiles were identified. Profile 1 ("Average 24-HAC," n=108) engaged in all 24-HAC behaviours around the sample average. Profile 2 ("Active Chillers," n=64) depicted lower-than-average engagement in physical activity and higher-than-average sedentary behaviour. Profile 3 ("Physical Activity Masters," n=56) were the most active and the least sedentary. Profile 4 ("Sedentary Savants," n=25) were the least active and the most sedentary. Sleep was similar across profiles. There were no significant differences in ADAS-Cog-Plus scores between 24-HAC activity profiles (p>0.05). Older adults with MCI exhibited four 24-HAC activity profiles conforming to recommended physical activity and sleep guidelines. Nonetheless, cognition was similar across these profiles.

Discriminant Potential of the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) in Greek Older Adults with Subjective Cognitive Decline and Mild Cognitive Impairment.

Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-Cog) is a widely used screening tool for detecting older adults with Alzheimer's disease among their cognitively healthy peers. A previous study in Greek population showed that ADAS-Cog-Greek (G) is a valid tool and can identify people with Alzheimer's disease from older adult control group; however, there is no current data about whether ADAS-Cog can differentiate older adults with mild cognitive impairment (MCI) from those who have subjective cognitive decline (SCD). The current study aimed to examine the discriminant potential of ADAS-Cog-G in Greek older adults who meet the criteria for SCD or MCI. Four hundred eighty-two community-dwelling older adults, visitors of the Greek Alzheimer Association and Related Disorders, were enrolled in the current study. One hundred seventy-six of them met the criteria for SCD and three hundred six had MCI. Path analysis applied to the data showed that age, as well as educational level affected ADAS-Cog-G performance. Results showed that the cut-off scores, which better discriminate people with SCD from MCI as well as their sensitivity and specificity values, were extracted in participants with high educational level (13 educational years<) and mainly under the age of 75 years. The current study provided evidence concerning the discriminant potential of ADAS-Cog-G to differentiate older adults with SCD from those with MCI in the Greek population, and therefore contributes to the relevant literature on the field.

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.

Clinical variables contributing to the identification of biologically defined subgroups within cognitively unimpaired and mild cognitive impairment individuals.

A lack of consensus exists in linking demographic, behavioral, and cognitive characteristics to biological stages of dementia, defined by the ATN (amyloid, tau, neurodegeneration) classification incorporating amyloid, tau, and neuronal injury biomarkers. Using a random forest classifier we investigated whether 27 demographic, behavioral, and cognitive characteristics allowed distinction between ATN-defined groups with the same cognitive profile. This was done separately for three cognitively unimpaired (CU) (112 A-T-N-; 46 A+T+N+/-; 65 A-T+/-N+/-) and three mild cognitive impairment (MCI) (128 A-T-N-; 223 A+T+N+/-; 94 A-T+/-N+/-) subgroups. Classification-balanced accuracy reached 39% for the CU and 52% for the MCI subgroups. Logical Delayed Recall (explaining 16% of the variance), followed by the Alzheimer's Disease Assessment Scale 13 (14%) and Everyday Cognition Informant (10%), were the most relevant characteristics for classification of the MCI subgroups. Race and ethnicity, marital status, and Everyday Cognition Patient were not relevant (0%). The demographic, behavioral, and cognitive measures used in our model were not informative in differentiating ATN-defined CU profiles. Measures of delayed memory, general cognition, and activities of daily living were the most informative in differentiating ATN-defined MCI profiles; however, these measures alone were not sufficient to reach high classification performance.

Potential impact of unblinding on observed treatment effects in Alzheimer's disease trials.

Adverse effects of monoclonal antibodies against amyloid beta are common, and may affect validity of randomized controlled trials (RCTs) through unblinding of participants. We used observations from published phase 3 RCTs in Alzheimer's disease to calculate the magnitude of unblinding effects on cognition that would be required to explain observed cognitive benefits in RCTs. In trials of lecanemab, aducanumab, and donanemab, incidence of amyloid-related imaging abnormalities with active treatment ranged from 22% to 44%, the vast majority of which presumably led to unblinding. Effects of unblinding on the Clinical Dementia Rating Sum of Boxes required to fully explain observed drug effects ranged from 1.1 point (95% confidence interval: 0.2-2.0) with aducanumab, to 3.3 points (2.1-4.4) with donanemab and 3.7 points (2.0-5.6) with lecanemab. Infusion-related reactions were common, with potential unblinding effects particularly for lecanemab. Similar patterns were observed for the Alzheimer's Disease Assessment Scale Cognitive subscale. Psychological treatment effects due to unblinding may explain a substantial share of observed treatment effects in RCTs.

Predictors of efficacy, tolerability and discontinuation of Transcranial Direct Current Stimulation (tDCS) for Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD): a meta-analysis and meta-regression

Numerous patients with mild cognitive impairment (MCI) or Alzheimer’s disease (AD) are refractory to pharmacological treatment, and non-invasive brain neurostimulation has been investigated as another possibility for improving cognition. The performed meta-analysis and meta-regression verified predictors of efficacy, tolerability, and discontinuation of transcranial direct current stimulation (tDCS) for treating MCI or AD. The analyzed studies used the Mini-Mental State Exam, Montreal Cognitive Assessment, or Alzheimer's Disease Assessment Scale - Cognitive Subscale scores as outcome measures. Databases (PubMed, Embase, and Web of Science - primary collection) were searched, resulting in 12 published randomized and controlled trials. The risk of bias assessment was based on Cochrane Review recommendations, considering study characteristics. Other evaluated outcomes were the number of adverse effects (tolerability) and dropouts. Overall and anodal tDCS improved cognition compared to the sham protocol. Group comparisons did not show statistically significant differences for adverse effects and dropouts. Session duration was a response predictor, as stimulations of up to 20 minutes for ten days or more improved the outcome achievement. The AD diagnosis covariate also affected efficacy. The findings should be interpreted carefully in clinical practice because the stimulation effect may vary among subjects.

Shortening the Alzheimer's disease assessment scale cognitive subscale.

A short yet reliable cognitive measure is needed that separates treatment and placebo for treatment trials for Alzheimer's disease. Hence, we aimed to shorten the Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-Cog) and test its use as an efficacy measure. Secondary data analysis of participant-level data from five pivotal clinical trials of donepezil compared with placebo for Alzheimer's disease (N=2,198). Across all five trials, cognition was appraised using the original 11-item ADAS-Cog. Statistical analysis consisted of sample characterization, item response theory (IRT) to identify an ADAS-Cog short version, and mixed models for repeated-measures analysis to examine the effect sizes of ADAS-Cog change on the original and short versions in the placebo versus donepezil groups. Based on IRT, a short ADAS-Cog was developed with seven items and two response options. The original and short ADAS-Cog correlated at baseline and at weeks 12 and 24 at 0.7. Effect sizes based on mixed modeling showed that the short and original ADAS-Cog separated placebo and donepezil comparably (ADAS-Cog original ES=0.33, 95% CI=0.29, 0.40, ADAS-Cog short ES=0.25, 95% CI =0.23, 0.34). IRT identified a short ADAS-cog version that separated donepezil and placebo, suggesting its clinical potential for assessment and treatment monitoring.

Clinically Important Benefits and Harms of Monoclonal Antibodies Targeting Amyloid for the Treatment of Alzheimer Disease: A Systematic Review and Meta-Analysis.

We conducted a meta-analysis to evaluate clinically meaningful benefits and harms of monoclonal antibodies targeting amyloid in patients with Alzheimer dementia. We searched PubMed, Cochrane CENTRAL, and 5 trial registries, as well as the reference lists of identified studies. We included randomized controlled trials comparing a monoclonal antibody with placebo at a dose consistent with that used in phase 3 trials or for Food and Drug Administration approval. Studies had to report at least 1 clinically relevant benefit or harm. Data were extracted independently by at least 2 researchers for random effects meta-analysis. Changes in cognitive and functional scales were compared between groups, and each difference was assessed to determine if it met the minimal clinically important difference (MCID). We identified 19 publications with 23,202 total participants that evaluated 8 anti-amyloid antibodies. There were small improvements over placebo in the Alzheimer's Disease Assessment Scale (ADAS)-Cog-11 to -14 score (standardized mean difference = -0.07; 95% CI, -0.10 to -0.04), Mini Mental State Examination score (0.32 points; 95% CI, 0.13 to 0.50), and Clinical Dementia Rating-Sum of Boxes scale score (mean difference =-0.18 points; 95% CI, -0.34 to -0.03), and the combined functional scores (standardized mean difference = 0.09; 95% CI, 0.05 to 0.13). None of the changes, including those for lecanemab, aducanumab, and donanemab, exceeded the MCID. Harms included significantly increased risks of amyloid-related imaging abnormalities (ARIA)-edema (relative risk [RR] = 10.29; number needed to harm [NNH] = 9), ARIA-hemorrhage (RR = 1.74; NNH = 13), and symptomatic ARIA-edema (RR = 24.3; NNH = 86). Although monoclonal antibodies targeting amyloid provide small benefits on cognitive and functional scales in patients with Alzheimer dementia, these improvements are far below the MCID for each outcome and are accompanied by clinically meaningful harms.

Multi-center open comparative randomized study of efficacy and safety of Akatinol Memantine 20 mg (single-doses) vs Akatinol Memantine 10 mg (double-doses) in patients with vascular dementia

Evaluation of the efficacy and safety of the drug Acatinol Memantine, 20 mg (once daily) in comparison with the drug Acatinol Memantine, 10 mg (twice daily) in patients with moderate to moderate severe vascular dementia. The study included 130 patients aged 50-85 years of both sexes with instrumentally and clinically confirmed vascular dementia. The patients were randomized into 2 groups. Group I consisted of 65 patients receiving Akatinol Memantine, 20 mg once daily, group II - 65 patients receiving Akatinol Memantine, 10 mg twice daily for 24 weeks. Clinical, parametric and statistical research methods were used. The Alzheimer's disease assessment scale, the cognitive subscale (ADAS-cog), the short mental Status Assessment Scale (MMSE) and the general clinical impression scale for patients condition and illness severity (CGI-C and CGI-S) and the Hamilton Depression Rating scale (HAM-D) were used. Adverse events were collected and analyzed. At week 24, both groups showed statistically significant positive change in ADAS-cog total score: in group I the total score was 27.2±8.76 points (absolute difference from baseline 3.5 points; p<0.01), and in group II - 26.1±7.86 points (absolute difference from baseline 2.5 points; p<0.01) with no statistically significant differences between groups. Evaluation of secondary efficacy criteria (change in ADAS-cog total score at week 12 and MMSE at weeks 4, 12, and 24) also revealed statistically significant benefit in both groups compared to baseline with no significant differences between groups. Statistically significant improvement was noticed on CGI-S and CGI-C scales in both groups. Akatinol Memantine was safe and well tolerated in both groups. The study showed no lesser efficacy and safety of Akatinol Memantine, 20 mg (once daily) compared to Akatinol Memantine, 10 mg (twice daily) in patients with moderate and moderately severe vascular dementia.

Efficacy and safety of chinese herbal medicines combined with chemical drugs for alzheimer's disease: A systematic review and meta-analysis

Objective: To evaluate the efficacy and safety of Chinese herbal medicines (CHMs) combined with chemical drugs for the treatment of Alzheimer's disease (AD). Materials and Methods: Databases were searched to retrieve randomized controlled trials (RCTs) of CHMs combined with tacrine, galantamine, rivastigmine, donepezil, or memantine, following strict inclusion and exclusion criteria. Only research papers published in English, Chinese, and Japanese were considered. The primary outcome was the mini-mental state examination (MMSE) score and the secondary outcomes were AD assessment scale cognitive subscale (ADAS-Cog) score and safety evaluation. Meta-analysis was carried out using RevMan 5.3 and subgroup analysis was conducted to identify the sources of heterogeneity. Results: A total of 15 RCTs with 1386 participants were included in this study. Only donepezil was used in the retrieved literature. Meta-analyses showed that the combination of CHMs with donepezil led to significant improvement in the MMSE score (Z = 9.45; P &lt; 0.00001; weighted mean difference [WMD] =2.68, 95% confidence interval [CI]: 2.12–3.24) and a significant decrease in the ADAS-Cog score (Z = 5.53; P &lt; 0.00001; WMD = −3.79; 95% CI: −5.13–−2.44). Safety evaluation demonstrated that these combination treatments relieved adverse events such as insomnia (risk ratio [RR] =0.20, 95% CI: 0.06–0.68; P = 0.01) and hive (RR = 0.10; 95% CI: 0.01–0.73; P = 0.02). Conclusions: The combination of CHMs with a chemical drug like donepezil led to significant improvements in patient cognition as well as a better safety profile when compared to the application of a chemical drug alone.

Hybrid surgery can improve neurocognitive function in patients with internal carotid artery occlusion

Internal carotid artery occlusion (ICAO) is a relatively uncommon but important cause of transient ischaemic attack and cerebral infarction. Hybrid surgery (HS) improves cerebral perfusion, but its impact on neurocognitive function has been controversial. Patients with symptomatic chronic ICAO treated by hybrid surgery or medical treatment from 2016 to 2019 were included. We recorded and analysed the clinical characteristics, angiographic data, outcomes and cognitive status. Functional assessments, including the National Institutes of Health Stroke Scale (NIHSS), the Barthel Index, and a battery of neuropsychological tests, including the Mini-Mental State Examination (MMSE), Alzheimer Disease Assessment Scale–Cognitive Subtest (ADAS-cog), verbal fluency, and Colour Trail test Parts 1 and 2, were administered. Significant improvements in the ADAS (before, 7.5 ± 6.2 versus after, 5.2 ± 5.7; P = 0.022), MMSE (before, 25.5 ± 2.8 versus after, 28.1 ± 2.3; P = 0.013), and Colour Trail test Part 1 (before, 118.3 ± 26.5 versus after, 96.2 ± 23.1; P = 0.016) were observed six months after HS. Moreover, the abovementioned postprocedure scales were ameliorated in the HS group. This study found that in patients with multiple symptomatic ICAO and objective ipsilateral ischaemia, successful HS leads to improvement in the scores of three cognitive tests.

NeuroEPO plus (NeuralCIM®) in mild-to-moderate Alzheimer’s clinical syndrome: the ATHENEA randomized clinical trial

BackgroundNeuroEPO plus is a recombinant human erythropoietin without erythropoietic activity and shorter plasma half-life due to its low sialic acid content. NeuroEPO plus prevents oxidative damage, neuroinflammation, apoptosis and cognitive deficit in an Alzheimer’s disease (AD) models. The aim of this study was to assess efficacy and safety of neuroEPO plus.MethodsThis was a double-blind, randomized, placebo-controlled, phase 2–3 trial involving participants ≥ 50 years of age with mild-to-moderate AD clinical syndrome. Participants were randomized in a 1:1:1 ratio to receive 0.5 or 1.0 mg of neuroEPO plus or placebo intranasally 3 times/week for 48 weeks. The primary outcome was change in the 11-item cognitive subscale of the AD Assessment Scale (ADAS-Cog11) score from baseline to 48 weeks (range, 0 to 70; higher scores indicate greater impairment). Secondary outcomes included CIBIC+, GDS, MoCA, NPI, Activities of Daily Living Scales, cerebral perfusion, and hippocampal volume.ResultsA total of 174 participants were enrolled and 170 were treated (57 in neuroEPO plus 0.5 mg, 56 in neuroEPO plus 1.0 mg and 57 in placebo group). Mean age, 74.0 years; 121 (71.2%) women and 85% completed the trial. The median change in ADAS-Cog11 score at 48 weeks was −3.0 (95% CI, −4.3 to −1.7) in the 0.5 mg neuroEPO plus group, −4.0 (95% CI, −5.9 to −2.1) in the 1.0 mg neuroEPO plus group and 4.0 (95% CI, 1.9 to 6.1) in the placebo group. The difference of neuroEPO plus 0.5 mg vs. placebo was 7.0 points (95% CI, 4.5–9.5) P = 0.000 and between the neuroEPO plus 1.0 mg vs. placebo was 8.0 points (95% CI, 5.2–10.8) P = 0.000. NeuroEPO plus treatment induced a statistically significant improvement in some of clinical secondary outcomes vs. placebo including CIBIC+, GDS, MoCA, NPI, and the brain perfusion.ConclusionsAmong participants with mild-moderate Alzheimer’s disease clinical syndrome, neuroEPO plus improved the cognitive evaluation at 48 weeks, with a very good safety profile. Larger trials are warranted to determine the efficacy and safety of neuroEPO plus in Alzheimer’s disease.Trial registrationhttps://rpcec.sld.cu Identifier: RPCEC00000232.

The effect of black mulberry (Morus nigra) consumption on cognition in patients with mild-to-moderate Alzheimer's dementia: A pilot feasibility study

The purpose of this study was to test the feasibility and the possible effects of black mulberry on cognitive functions in Alzheimer's disease (AD). A total of 39 participants aged 65+ with mild-to-moderate AD were involved and 20 subjects were administered 20g of black mulberry concentrate daily for 12 weeks (intervention group), while 19 received no intervention (control group). Cognitive assessment utilized with Mini-Mental State Examination (MMSE) and AD Assessment Scale–Cognitive Subscale (ADAS-Cog) tests; Geriatric Depression Scale (GDS-15) used for depression screening. At the end of the study, although MMSE scores decreased (p = 0.003) and GDS-15 scores increased (p = 0.034) in control group, there was no change in intervention group. On the contrary, ADAS-Cog scores decreased in intervention group (p = 0.002) while the control group showed no improvement. This study showed that treatment of black mulberry (Morus nigra) for 12 weeks may slightly improve cognitive function in patients with AD.

Effects of cerebrovascular disease on tau progression and cognitive decline in Alzheimer’s disease

AbstractBackgroundRecent post‐mortem studies suggest that cerebrovascular disease contributes to Alzheimer’s disease (AD) pathophysiology and clinical progression. In particular, cerebral amyloid angiopathy is highly common in AD and has been linked to faster cognitive decline. Yet, in‐vivo evidence on the contribution of cerebrovascular disease to pathobiological and/or clinical AD progression is rare. Thus, we assessed in‐vivo, whether i) higher cerebrovascular burden is associated with accelerated progression of primary AD pathology and ii) whether cerebrovascular burden synergistically accelerates AD‐related cognitive decline.MethodWe included n = 256 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) across the AD spectrum with longitudinal 18F‐flortaucipir tau‐PET (follow‐up∼2.30±1.32 years), 18F‐florbetapir or 18F‐florbetaben Aß‐PET transformed to centiloid (A7: n = 85 Cognitively normal (CN); Aß+: n = 83 CN, n = 57 Mild Cognitive Impairment, n = 31 Dementia). We focused on global white matter hyperintensity (WMH) volume adjusted to intracranial volume and microhemorrhage (MCH) count as well‐established cerebrovascular disease markers. Cognition was probed through the AD Assessment Scale Cognition 13‐item scale (ADAS‐13). Subject‐specific annual changes in tau‐PET and cognition were calculated via linear mixed models, including random slope and intercept. To enhance reproducibility of our findings, statistical analyses were pre‐specified at AsPredicted.org. All statistical models were controlled for age, sex and APOE.ResultUsing linear regression, we found no main effect of cerebrovascular disease markers on baseline amyloid‐PET or tau‐PET (ps&gt;0.05). Further, higher cerebrovascular burden was not associated with faster Aß‐related tau‐PET SUVR increase (Fig. 1A+B). In contrast, higher cerebrovascular burden was associated with accelerated cognitive decline. Specifically, interaction models revealed that a higher MCH count was associated with faster cognitive decline at higher tau levels (Fig. 1C), while higher white matter hyperintensity burden was associated with faster cognitive decline at lower tau levels (Fig. 1D).ConclusionWe found no effect of cerebrovascular disease on primary AD pathology. In contrast, cerebrovascular disease was linked to accelerated tau‐associated cognitive decline. This suggests that cerebrovascular disease may not modulate pathobiological AD trajectories but rather add synergistically to AD symptom severity. This has important therapeutic implications, as treating cerebrovascular disease in addition to primary AD pathology (e.g. amyloid) may yield largest clinical efficacy.

Effects of cerebrovascular disease on tau progression and cognitive decline in Alzheimer’s disease

AbstractBackgroundRecent post‐mortem studies suggest that cerebrovascular disease contributes to Alzheimer’s disease (AD) pathophysiology and clinical progression. In particular, cerebral amyloid angiopathy is highly common in AD and has been linked to faster cognitive decline. Yet, in‐vivo evidence on the contribution of cerebrovascular disease to pathobiological and/or clinical AD progression is rare. Thus, we assessed in‐vivo, whether i) higher cerebrovascular burden is associated with accelerated progression of primary AD pathology and ii) whether cerebrovascular burden synergistically accelerates AD‐related cognitive decline.MethodWe included n = 256 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) across the AD spectrum with longitudinal 18F‐flortaucipir tau‐PET (follow‐up∼2.30±1.32 years), 18F‐florbetapir or 18F‐florbetaben Aβ‐PET transformed to centiloid (Aβ–: n = 85 Cognitively normal (CN); Aβ+: n = 83 CN, n = 57 Mild Cognitive Impairment, n = 31 Dementia). We focused on global white matter hyperintensity (WMH) volume adjusted to intracranial volume and microhemorrhage (MCH) count as well‐established cerebrovascular disease markers. Cognition was probed through the AD Assessment Scale Cognition 13‐item scale (ADAS‐13). Subject‐specific annual changes in tau‐PET and cognition were calculated via linear mixed models, including random slope and intercept. To enhance reproducibility of our findings, statistical analyses were pre‐specified at AsPredicted.org. All statistical models were controlled for age, sex and APOE.ResultUsing linear regression, we found no main effect of cerebrovascular disease markers on baseline amyloid‐PET or tau‐PET (ps&gt;0.05). Further, higher cerebrovascular burden was not associated with faster Aβ‐related tau‐PET SUVR increase (Fig. 1A+B). In contrast, higher cerebrovascular burden was associated with accelerated cognitive decline. Specifically, interaction models revealed that a higher MCH count was associated with faster cognitive decline at higher tau levels (Fig. 1C), while higher white matter hyperintensity burden was associated with faster cognitive decline at lower tau levels (Fig. 1D).ConclusionWe found no effect of cerebrovascular disease on primary AD pathology. In contrast, cerebrovascular disease was linked to accelerated tau‐associated cognitive decline. This suggests that cerebrovascular disease may not modulate pathobiological AD trajectories but rather add synergistically to AD symptom severity. This has important therapeutic implications, as treating cerebrovascular disease in addition to primary AD pathology (e.g. amyloid) may yield largest clinical efficacy.

Prediction of Mild Cognitive Impairment Progression to Alzheimer’s Disease Based on Diffusion Tensor Imaging-Derived Diffusion Parameters: Construction and Validation of a Nomogram

Introduction: The aim of the study was to construct and validate a nomogram that combines diffusion tensor imaging (DTI) parameters and clinically relevant features for predicting the progression of mild cognitive impairment (MCI) to Alzheimer’s disease (AD). Method: A retrospective analysis was conducted on the MRI and clinical data of 121 MCI patients, of whom 32 progressed to AD during a 4-year follow-up period. The MCI patients were divided into training and validation sets at a ratio of 7:3. DTI features were extracted from MCI patient data in the training set, and their dimensionality was reduced to construct a radiomics signature (RS). Then, combining the RS with independent predictors of MCI disease progression, a joint model was constructed, and a nomogram was generated. Finally, the area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used to evaluate the diagnostic and clinical efficacy of the nomogram based on the data from the validation set. Result: The AUCs of the RS in the training and validation sets were 0.81 and 0.84, with sensitivities of 0.87 and 0.78 and specificities of 0.71 and 0.81, respectively. Multiple logistic regression analysis showed that the RS, clinical dementia rating scale score, and Alzheimer's disease assessment scale score were the independent predictors of progression and were thus used to construct the nomogram. The AUCs of the nomogram in the training and validation sets were 0.89 and 0.91, respectively, with sensitivities of 0.78 and 0.89 and specificities of 0.90 and 0.88, respectively. DCA showed that the nomogram was the most valuable model for predicting the progression of MCI to AD and that it provided greater net benefits than other analysed models. Conclusion: Changes in white matter fibre bundles can serve as predictive imaging markers for MCI disease progression, and the combination of white matter DTI features and relevant clinical features can be used to construct a nomogram with important predictive value for MCI disease progression.

60 The Impact of Retirement Status on Cognitive Dysfunction in Alzheimer’s Disease

Objective:Prior research supports retirement may negatively impact cognitive functioning. The current study examined the relationship between retirement status and the level of cognitive dysfunction amongst individuals with Alzheimer’s disease (AD). For the purpose of this study, it was predicted that there would be significantly higher levels of cognitive dysfunction in retired participants after controlling for age.Participants and Methods:Participants (ages 65 to 91) were drawn from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). The sample included 110 participants who were retired and 111 participants who were not retired. Cognitive dysfunction was assessed using the cognitive subscale of the modified Alzheimer’s Disease Assessment Scale (ADAS). A one-way ANCOVA analysis was conducted with cognitive dysfunction as the dependent variable and the age of the participants as a covariate.Results:The results of the one-way ANCOVA showed being retired was a significant predictor of greater cognitive dysfunction amongst individuals with AD after controlling for age (F(df=1, 218) = 231.143, p = &lt; .001, p &lt; .05) and accounted for 52% of the variance in the level of cognitive dysfunction.Conclusions:Being retired is associated with higher levels of cognitive dysfunction in AD after accounting for the effects of age. As such, continued cognitive activity may slow the progression of cognitive declines amongst individuals with AD who are retired. There is a need for future longitudinal research to determine how late retirement may delay the progression of cognitive decline in AD by controlling for other moderator factors such as genetics and work-related stress.