Mini-Mental State Research Articles

White Matter Hyperintensities and Cognitive Functions in People With the R544C Variant of the NOTCH3 Gene Without Stroke or Dementia.

NOTCH3 pathologic variants cause cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), which presents with stroke and dementia and is characterized by white matter hyperintensities (WMHs) on brain MRI. The R544C variant is a common pathologic variant in Taiwan, but not all carriers exhibit significant symptoms. We investigated whether WMHs occur before clinical symptoms in carriers with pathogenic variants, examined factors associated with WMHs, and explored their relationship with cognitive functions. We enrolled 63 R544C carriers without overt clinical disease (WOCD) and 37 age-matched and sex-matched noncarriers as controls from the Taiwan Precision Medicine Initiative data set. All participants underwent clinical interviews, comprehensive neuropsychological assessments, and brain MRI. We calculated total and regional WMH volumes, determined the age at which WMHs began increasing in carriers, and examined the relationship between WMHs and neuropsychological performance. Factors associated with WMH volumes were analyzed using multivariable linear regression models. Compared with controls, R544C carriers WOCD had increased WMH volume, except in the occipital and midbrain areas, and showed a rapid increase in WMHs starting at age 48. They scored lower on the Mini-Mental State Examination (median = 28.4 vs 29.0, p = 0.048), Montreal Cognitive Assessment (MoCA) (median = 28.3 vs 29.0, p = 0.013), and memory and executive function tests than controls. After adjusting for age, sex, and education, MoCA scores were associated with whole-brain (r = -0.387, padj = 0.008) and regional WMHs (all padj < 0.05) except in the midbrain area. Age (β = 0.034, 95% CI 0.021-0.046, p < 0.001), hypercholesterolemia (β = 0.375, 95% CI 0.097-0.653, p = 0.009), and the vascular risk factor (VRF) index (β = 0.132, 95% CI 0.032-0.242, p = 0.019) were associated with the WMH severity in carriers. Our study revealed that WMHs are extensively distributed in R544C carriers WOCD. They exhibited a rapid increase in WMHs beginning at age 48, approximately 7 years earlier than the reported age at symptomatic onset. Age was the strongest predictive factor of WMHs, and VRF, particularly hypercholesterolemia, might be modifying factors of WMHs.

Performance of the Healthy Aging Brain Care Monitor Self Report in Monitoring Post-Intensive Care Syndrome Among Acute Respiratory Failure Survivors

Objectives: To describe the performance of the Healthy Aging Brain Care Monitor Self Report (HABC-M SR) in assessment of post-intensive care syndrome (PICS) among Acute Respiratory Failure ICU survivors. Design: Secondary data analysis of a randomized controlled trial. Setting: Patients evaluated by a nurse care coordinator in an out-of-hospital setting. Patients: English-speaking adults 18 years old or older who were admitted to the ICU with acute respiratory failure requiring invasive or noninvasive mechanical ventilation for greater than or equal to 24 hours. Interventions: Patients randomized to the intervention arm of the mobile critical care recovery program, a negative trial testing multidisciplinary care to improve quality of life. Measurements and Main Results: HABC-M SR scale was used to assess PICS in the intervention group at ICU discharge, 3, and 6 months post-discharge. Hospital Anxiety and Depression Scale; Pain, Enjoyment of Life, and General Activity Scale; Timed Up and Go; and Patient-Reported Outcomes Measurement Information System sleep scores were obtained at the same time. Mini-Mental State Examination (MMSE) was administered at baseline and 6 months. ICU survivors reported mild PICS symptoms, which improved over 6 months (mean HABC-M SR scores: baseline [8.5, sd 7.6], 3 mo [5.3 mo, sd 6.6 mo], and 6 mo [5.2 mo, sd 6.9 mo; p &lt; 0.001]). HABC-M SR total score had moderate internal consistency that improved over time (Cronbach’s alpha = 0.78 at baseline and 0.84 at 6 mo). The psychological subscale of HABC-M SR was moderately correlated with standardized scales for mood, pain, and sleep. The cognitive subscale was not significantly correlated with MMSE. Conclusions: While HABC-M SR correlated with mood, physical, and sleep symptoms, the cognitive subscale was less sensitive compared with standardized scales.

Exploring the relationship among Alzheimer’s disease, aging and cognitive scores through neuroimaging-based approach

Alzheimer’s disease (AD) is a fatal neurodegenerative disorder, with the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR) serving significant roles in monitoring its progression. We hypothesize that while cognitive assessment scores can detect AD-related brain changes, the targeted brain regions may differ. Additionally, given AD’s strong association with aging, we propose that specific brain regions are influenced by both AD pathology and aging, exhibiting strong correlations with both. To test these hypotheses, we developed a 3D convolutional network with a mixed-attention mechanism to recognize AD subjects from structural magnetic resonance imaging (sMRI) data and utilize 3D convolutional methods to pinpoint brain regions significantly correlated with the AD, MMSE, CDR and age. All models were trained and internally validated on 417 samples from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), and the classification model was externally validated on 382 samples from the Australian Imaging and Lifestyle flagship (AIBL). This approach provided robust support for using MMSE and CDR in assessing AD progression and visually illustrated the relationship between aging and AD. The analysis revealed correlations among the four identification tasks (AD, MMSE, CDR and age) and highlighted asymmetric brain lesions in both AD and aging. Notably, we found that AD can accelerate aging to some extent, and a significant correlation exists between the rate of aging and cognitive assessment scores. This offers new insights into the relationship between AD and aging.

Changes in brain functional connectivity between on and off states and their relationship with cognitive impairment in Parkinson’s disease

Parkinson’s disease (PD) is characterized by motor and non-motor symptoms. Cognitive decline is crucial in disease progression and affect quality of life; however, their underlying mechanisms in PD remain unclear. We explored the relationship between cognitive impairment and functional connectivity (FC) using resting-state functional magnetic resonance imaging in 26 patients with sporadic PD, focusing on the changes in FC between on and off states. Cognitive function was assessed using the Mini-Mental State Examination (MMSE) score. The correlation between MMSE scores and changes in FC values during on and off states was assessed using Pearson’s correlation coefficient. The correlation between changes in FC during the on and off periods and cognitive function differed for each cognitive function item. MMSE memory scores were positively correlated with FC between the brainstem and the left cerebral hemisphere. MMSE attention scores were positively correlated with FC between the bilateral thalamus and frontal lobes and negatively correlated with FC between the left cerebral hemispheres. These findings may facilitate our understanding of the neural correlates underlying cognitive impairment in PD and help develop treatment strategies to preserve cognitive function.

Mini-mental status examination phenotyping for Alzheimer’s disease patients using both structured and narrative electronic health record features

Abstract Objective This study aims to automate the prediction of Mini-Mental State Examination (MMSE) scores, a widely adopted standard for cognitive assessment in patients with Alzheimer’s disease, using natural language processing (NLP) and machine learning (ML) on structured and unstructured EHR data. Materials and Methods We extracted demographic data, diagnoses, medications, and unstructured clinical visit notes from the EHRs. We used Latent Dirichlet Allocation (LDA) for topic modeling and Term-Frequency Inverse Document Frequency (TF-IDF) for n-grams. In addition, we extracted meta-features such as age, ethnicity, and race. Model training and evaluation employed eXtreme Gradient Boosting (XGBoost), Stochastic Gradient Descent Regressor (SGDRegressor), and Multi-Layer Perceptron (MLP). Results We analyzed 1654 clinical visit notes collected between September 2019 and June 2023 for 1000 Alzheimer’s disease patients. The average MMSE score was 20, with patients averaging 76.4 years old, 54.7% female, and 54.7% identifying as White. The best-performing model (ie, lowest root mean squared error (RMSE)) is MLP, which achieved an RMSE of 5.53 on the validation set using n-grams, indicating superior prediction performance over other models and feature sets. The RMSE on the test set was 5.85. Discussion This study developed a ML method to predict MMSE scores from unstructured clinical notes, demonstrating the feasibility of utilizing NLP to support cognitive assessment. Future work should focus on refining the model and evaluating its clinical relevance across diverse settings. Conclusion We contributed a model for automating MMSE estimation using EHR features, potentially transforming cognitive assessment for Alzheimer’s patients and paving the way for more informed clinical decisions and cohort identification.

Feasibility and psychometric properties of Integrated Care for Older People Screening Tool for Taiwanese (ICOPES-TW) cognitive screening test

Introduction: Intrinsic capacity, a concept proposed by the World Health Organization, includes multidimensions to better understand older adults’ health conditions for successful healthy aging. One of the key dimensions of intrinsic capacity is cognition. The present study aimed to examine if the cognitive test in Integrated Care for Older People Screening Tool for Taiwanese (ICOPES-TW) is a suitable instrument for screening cognition impairment. Methods: Older adults from community or medical center settings in Tainan were recruited (n=553; mean±SD age=75.80±8.32; 60.8% females). All participants were administered the ICOPES-TW cognitive test, the Mini-Mental State Examination (MMSE), Lawton’s Instrumental Activities of Daily Living (IADL), and Barthel Index (BI) in an in-person interview conducted by a well-trained research assistant. Results: The ICOPES-TW cognitive test was highly correlated with the MMSE total score (r=-0.752) and moderately correlated with IADL (r=-0.426) and BI scores (r=-0.390). When using a cutoff score of 1 for the ICOPES-TW cognitive test, its accuracy to identify cognitive impairment defined by the MMSE was 60% (sensitivity=0.98, specificity=0.41). When using cutoff score of 2, the accuracy was 83% (sensitivity=0.69, specificity=0.90). Moreover, the ICOPES-TW cognitive test had similar properties to the MMSE in terms of known-group validity (distinguishing different age and educational level groups). Conclusions: Using ICOPES-TW cognitive test with appropriate cutoff point in different healthcare settings could help providers and researchers quickly identify if an older adult has a cognitive impairment. However, the screening ability of ICOPES-TW cognitive test was deemed fair but future studies are recommended to help improve it.

Anti‐saccade can be used as a screening tool for early cognitive impairment: a correlation study based on anti‐saccade parameters and cognitive function

AbstractBackgroundEye movement tasks, especially anti‐saccade tasks, have been used to assess cognitive function in patients with neuropsychiatric disorders. Although it has been shown that individuals with cognitive impairment perform worse on anti‐saccades tasks, there is a lack of systematic evaluation of the sensitivity of parameters of anti‐saccades to assess different subtypes of cognitive impairment.MethodsA total of 158 participants were enrolled in this study, consisting of 66 men and 92 women, with an average age of 50.2 ± 10 years. The comparison of pro‐saccade reaction time, anti‐saccade reaction time, and error rates in the saccade task between individuals with cognitive impairments and a normal group was conducted. Furthermore, we systematically analyzed the correlations between the performance in neurological function tests (Mini‐Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Stroop) and these anti‐saccade parameters. Especially, the correlation between these parameters and cognitive function in different domains of the MoCA task were also evaluated.ResultsThe pro‐saccade reaction time, anti‐saccade reaction time and error rate were negatively correlated with the MMSE and MoCA scores (P &lt; 0.001), and positively correlated with the time used in Stroop tasks. Among them, the error rate had the strongest correlation with the performance of MMSE, MoCA and Stroop tasks (MoCA: P &lt; 0.0001, r2 = −0.608; MMSE: P &lt; 0.0001, r2 = −0.344; Stroop: P &lt; 0.0001, r2 = 0.455). Among the seven cognitive domains examined by the MoCA task, error rates had relatively high correlations with visuospatial/executive (P &lt; 0.0001, r2 = −0.4660) and delayed recall (P &lt; 0.0001, r2 = −0.4228) compared to naming, language (P = 0.0004, r2 = −0.0788), attention (P = 0.0004, r2 = −0.0780), abstraction (P &lt; 0.0001, r2 = −0.1515), orientation (P &lt; 0.0001, r2 = −0.1075). Moreover, pro‐saccade reaction time, anti‐saccade reaction time and error rate of people with high MoCA scores were significantly higher than those of people with low MoCA scores, which can be used to identify people with mild cognitive impairment.ConclusionsOur study's results provide valuable clinical evidence supporting the effectiveness of anti‐saccades in assessing cognitive impairment, which is beneficial for screening and timely clinical intervention in individuals with specific cognitive impairment.

Association of time in range with cognitive impairment in middle-aged type 2 diabetic patients

ObjectiveThis study investigated the association of Time In Range (TIR) obtained from Blood Glucose Monitoring (BGM) with Cognitive Impairment (CI) inpatients with middle-aged Type 2 Diabetes Mellitus (T2DM) and further explored whether a TIR goal for T2DM in adults with > 70% possess a protective effect on cognitive function.Research design and methodsA total of 274 inpatients with T2DM aged 40–64 years, who underwent seven-point BGM ( pre meals and 120 min post meals and at bedtime) were recruited in this cross-sectional study. TIR was defined as the percentage of blood glucose within the target range of 3.9-10.0mmol/L. Subjects were divided into Normal Cognitive Function (NCF) (n = 160) and CI (n = 114) groups according to the results of the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE). The association of TIR and other glycemic metrics, calculated from seven-point BGM data, with cognitive dysfunction was analyzed.ResultsThe prevalence of CI was 41.6% in patients with middle-aged T2DM (median age 58 years). TIR was lower in CI group than in NCF group (28.6% vs. 42.9%, P = 0.004). The prevalence of CI decreased with ascending tertiles of TIR (p for trend < 0.05). Binary logistic regression analysis showed a significant association between TIR and CI (odds ratio [OR] = 0.84, p < 0.001) after adjusting for confounders (age, education, marital status, age at Diabetes Mellitus (DM) onset, cerebrovascular disease). Further adjustment of Standard Deviation (SD)(OR = 0.84, p = 0.001) or Coefficient of Variation (CV)(OR = 0.83, p < 0.001), TIR was still associated with CI. While a TIR goal of > 70% probably possessed independent protective effect on cognitive function (OR = 0.25, p = 0.001) after controlling for confounders above.ConclusionsTIR obtained from BGM was related to CI in middle-aged T2DM individuals and a TIR goal of > 70% probably possessed a protective effect on cognitive function for middle-aged T2DM .

Body mass index, waist circumference, hip circumference, abdominal volume index, and cognitive function in older Chinese people: a nationwide study

BackgroundNumerous studies have indicated an obesity paradox in observational research on aging health, where being normal weight or underweight adversely affects cognitive function, while moderate obesity may offer protective benefits. This study aims to investigate the association between body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), abdominal volume index (AVI), and the joint effect of BMI and HC on cognitive impairment in older Chinese people.MethodsA total of 10,579 participants aged 65 years and older from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included in this cross-sectional study. BMI, WC, HC, WHtR, WHR, and AVI were calculated from height, weight, WC, and HC measurements, where weight, WC, and HC were obtained by direct measurement. Mini-Mental State Examination was used to assess cognitive impairment. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated using binary logistic regression. Non-linear correlations were investigated using restricted cubic spline curves.ResultsIn multivariate logistic regression models fully adjusted for confounding variables, our analyses showed significant negative associations of WC [OR 0.93 (95%CI 0.88–0.98), P = .012], HC [OR 0.92 (95%CI 0.87–0.97), P = .004], lower WHR (Q2) [OR 0.85 (95%CI 0.72-1.00), P = .044], and AVI [OR 0.93 (95%CI 0.88–0.98), P = .011] with cognitive impairment. Nonlinear curve analysis showed that the risk of cognitive impairment was lowest when the BMI was about 25.5 kg/m², suggesting that the optimal BMI for older Chinese people to maintain good cognitive ability may be in the overweight range. In addition, there was a non-linear “N” shaped relationship between HC and cognitive impairment, with HC having the highest risk of cognitive impairment at about 82 cm and the lowest risk at about 101 cm. The joint effects analysis indicated that the lowest risk was observed among those with normal or higher BMI but higher HC compared with participants with normal BMI levels and lower HC levels.ConclusionIn older Chinese people, a low-waisted and high-hip circumference body figure is favorable for cognitive function in older people. It also found a significant association between AVI and cognitive impairment. The joint analysis of BMI and HC suggests that maintaining a normal or higher BMI with a higher HC may be more conducive to maintaining good cognitive function.

Angioarchitectural alterations in the retina and choroid in frontotemporal dementia

Objective Frontotemporal dementia (FTD) is a progressive neurodegenerative disorder that affects the frontal and temporal lobes of the brain, leading to cognitive decline and personality changes. The objective of this cross-sectional study was to characterize angioarchitectural changes in the retina and choroid of individuals with FTD compared to cognitively normal controls using optical coherence tomography (OCT) and OCT angiography (OCTA). Methods Cross-sectional comparison of patients with FTD and controls with normal cognition. All participants underwent Mini-Mental State Examination (MMSE) at the time of imaging. Outcome measures included OCT parameters: retinal nerve fiber layer (RNFL) thickness, ganglion cell layer-inner plexiform layer (GC-IPL) thickness, central subfield thickness (CST), subfoveal choroidal thickness (SFCT), choroidal vascularity index (CVI); and OCTA superficial capillary plexus parameters: foveal avascular zone (FAZ) area, 3x3mm and 6x6mm macular perfusion density (PD) and vessel density (VD), 4.5x4.5mm peripapillary capillary perfusion density (CPD) and capillary flux index (CFI). Generalized estimating equation analysis was used to account for the inclusion of 2 eyes from the same participant. Results 29 eyes of 19 patients with FTD and 85 eyes of 48 controls were analyzed. In FTD, 3x3mm macular PD (p = 0.02) and VD (p = 0.02) and CFI (p = 0.01) were reduced compared to controls. There was no difference in average 4.5x4.5mm CPD, RNFL thickness, GC-IPL thickness, CST, SFCT, CVI, FAZ, or 6x6mm VD or PD between FTD and controls (all p &gt; 0.05); however, there was a trend toward lower macular 6x6mm PD and VD in patients with FTD. Conclusion Decline of peripapillary and macular OCT and OCTA parameters merit further investigation as potential biomarkers for FTD detection. Noninvasive retinal and choroidal imaging may hold promise for earlier detection, and future longitudinal studies will clarify their role in monitoring of FTD.

Association between whole egg consumption and cognitive function in older adults: Birjand longitudinal aging study

OBJECTIVE: Egg consumption could reduce the chance of cognitive decline. We aimed to assess this possible protective effect using data from the Birjand longitudinal aging study (BLAS). METHODS: In this cross-sectional study, the association between number of whole eggs consumed per week and cognitive impairment was assessed on 1352 participants in the context of the first wave of BLAS conducted on September 2018 to April 2019. Six Item Cognitive Impairment Test (6-CIT), Mini-Mental State Examination (MMSE), Verbal Fluency Test (VFT) and abbreviated mental test (AMT) questionnaires were used to assess the cognitive function. Analyses have been conducted using multiple logistic regression. RESULTS: Participants ate an average of 2.4 eggs per week. Older adults with moderate and high egg consumption (2–3 eggs/week and ≥4 eggs/week, respectively) performed better at 6-CIT (OR: 0.61, 95% CI: 0.46; 0.80; and 0.58, 95% CI: 0.41; 0.82), AMT (0.67, 95% CI: 0.52; 0.87; and 0.56, 95% CI: 0.39; 0.80) and all 4 cognitive tests combined (0.47, 95% CI: 0.30; 0.73; and 0.44, 95% CI: 0.24; 0.78). VFT was not associated, and MMSE score was only associated with high egg intake (0.53, 95% CI: 0.38; 0.74). High egg intake was more protective of cognitive decline (≥40%) than the moderate intake (30–40%). The significance of most associations disappeared after adjustment for confounders and covariates. CONCLUSIONS: In summary, the findings of this study suggest a potential inverse relationship, displaying an ascending trend, between weekly egg consumption and cognitive function among elderly Iranians.

D-hypovitaminosis in menopausal disorders clinic: Correction possibilities

Introduction. The postmenopausal period being a significant part of a modern woman’s life. The persistence of menopausal disorders clinic can be combined with the hypovitaminosis D state, which, in turn, can further aggravate the existing symptoms. Vitamin D supplementation may be one of the pharmacological approaches to correct menopausal disorders.Aim. To evaluate the contribution of hypovitaminosis D to the clinic of menopausal disorders; to determine the clinical efficacy of using cholecalciferol in late postmenopausal residents of Yekaterinburg.Materials and methods. During the period from 2018 to 2021, 144 late postmenopausal patients from 56 to 79 years old living in Yekaterinburg and do not need outside help in everyday life took part. The following parameters of anthropometry, the severity of modified menopausal index (MMI), hospital anxiety and depression scales (HADS), Mini-Mental State Examination (MMSE), an assessment of serum 25(OH)D level (chemiluminescent immunoassay; Access 2, Beckman Coulter, USA) were studied. Clinical efficacy of cholecalciferol was evaluated in 68 patients in the prospective cohort study design. Micellated water-soluble form of cholecalciferol in standard doses recommended by the Russian Association of Endocrinologists (RAE) was used.Results. Vitamin D deficiency and insufficiency are associated with increased parameters of body weight (p = 0.048), waist circumference (p = 0.018) and hips (p = 0.016), increased cases of decreased performance (p = 0.046) and subclinical symptoms anxiety (p = 0.033). Supplementation of standard therapeutic and maintenance doses of cholecalciferol for 6 months contributed to a significant reduction in neurovegetative component of modified menopausal index in 54.4% of cases (p = 0.035) and improvement in cognitive function parameters in 50.0% of cases (p = 0.023) in late postmenopausal patients.Conclusions. The use of cholecalciferol in adequate doses can be considered as an important component of complex therapy for women in late postmenopausal period.

Protocol for a prospective, longitudinal cohort study on the incidence of dementia after the onset of delirium in patients with mild cognitive impairment: MDDCohort (Mild Cognitive Impairment Delirium Dementia)

BackgroundMild cognitive impairment (MCI) is a major risk factor for delirium. Few studies with mid- to long-term follow-up periods have examined delirium, MCI, and the conversion of MCI to dementia. This prospective, longitudinal cohort study aims to assess the incidence of dementia after delirium onset in patients with MCI and to develop an artificial intelligence algorithm for predicting the conversion of MCI to dementia.MethodsA 30-day evaluation for delirium will be performed for adults aged ≥ 65 years diagnosed with MCI who score 18–23 on the Korean Mini-Mental State Exam. Individuals exhibiting delirium at least once will be classified into the delirium group and the remainder into the non-delirium group. Over 3 years, patients will undergo follow-ups for survival and conversion to dementia at 30-day intervals to analyze risk factors for delirium and clinical outcomes. Differences between the two groups will be analyzed using the chi-square and independent t-tests. Kaplan-Meier survival and Cox proportional hazard regression will be used to assess the effects on 30-day, 60-day, 12-month, 24-month, and 36-month mortality, whereas linear regression will be used to assess the length of stay at long-term care facilities and medical costs.DiscussionThe results will emphasize the importance of preventing delirium in MCI patients, and preventive interventions can be strengthened.Trial RegistrationNCT05113446 (ClinicalTrials.gov). Registered 9 November 2021 - Retrospectively registered.

Impact of intravenous infusion of lidocaine on intrapulmonary shunt and postoperative cognitive function in patients undergoing one-lung ventilation.

Intravenous infusion of lidocaine as an anesthesia adjuvant can improve patient outcomes, but its impact on intrapulmonary shunt during one-lung ventilation (OLV) has not been clarified. To determine the effect of intravenous lidocaine infusion on intrapulmonary shunt during OLV and postoperative cognitive function in video-assisted thoracoscopic surgery (VATS). Sixty patients who underwent OLV for thoracic surgery were randomized to receive intravenous infusion of lidocaine (lidocaine group, n = 30) or normal saline (control group, n = 30) for anesthesia induction. Arterial and venous blood gases were measured during two-lung ventilation and at 15 and 30 min after OLV (OLV + 15 and OLV + 30). The Mini-Mental State Examination was administered before the surgery and at postoperative 12 months to assess patient cognitive function. No significant difference was found in intrapulmonary shunt fraction (Qs/Qt) between the lidocaine group and the control group at OLV + 15 (p = 0.493) and OLV + 30 (p = 0.754). The lidocaine group used significantly lower doses of propofol and remifentanil compared to the control group (both p < 0.001). Furthermore, no significant difference was observed in the incidence of postoperative cognitive dysfunction between the lidocaine group and the control group at 1 year post-operation (3.3% vs 6.7%, p = 0.554). Intravenous lidocaine administered in VATS had no significant impact on intrapulmonary shunt during OLV or postoperative cognitive function. However, it significantly reduced the doses of anesthetics used during the surgery.

Chronic pain in older adults with disabilities is associated with cognitive impairment-a prospective cohort study.

Chronic pain may be an important factor influencing cognitive impairment; however, there is limited research on that link in older adults with disabilities. We aimed to determine the association between chronic pain and cognitive impairment in older adults with disabilities. This 24-month prospective cohort study involved 143 Japanese older adults (≥65 years of age) with long-term care insurance. Chronic pain was defined as pain persisting for ≥3 months, and cognitive impairment was defined as a Mini-Mental State Examination score ≤ 23. We employed logistic regression analysis with chronic pain as the independent variable and cognitive impairment as the dependent variable after propensity score matching (PSM). Sixty-six participants were selected using PSM, and logistic regression analysis showed that chronic pain was significantly associated with cognitive impairment (odds ratio: 4.103, 95% confidence interval: 1.455-11.567, P = 0.008). To prevent cognitive impairment in older adults with disabilities, the management of chronic pain should be considered, as they are related.

Enlarged choroid plexus related to atrophy of hippocampal subfield volumes and glymphatic dysfunction in benzodiazepine use disorder.

The aim of this study was to explore the relationship of choroid plexus (CP) volume with hippocampal subregion volume and glymphatic system in patients with benzodiazepine use disorders (BUD). Eighty-four participants were recruited including 23 patients with BUD, 29 patients with chronic insomnia (CI) and 32 healthy controls (HC). The morphological alterations in CP, hippocampal subfield volumes and diffusion tensor image analysis along the perivascular space (DTI-ALPS) index were compared between the three groups and the relationships between CP volume and hippocampal subfield volumes and the glymphatic system were further investigated. Compared with the HC individuals, the CP volumes augmented and hippocampal subfield volumes reduced in patients with BUD (P < .05) but not in patients with CI (P > .05). In patients with BUD, there were extensive relationships between augmented CP volume and decreased hippocampal subfield volumes (P < .05, r = -0.421--0.513). CP volume was negatively related with the DTI-ALPS index (r = -0.582, P = .004) within the BUD group. In patients with BUD, the volume of bilateral cornu ammonis (CA)1 body, molecular layer (ML) body, hippocampal tail, left CA1 head volumes, right dentate gyrus body volumes, and right CA4 body volumes were positively related with the Montreal Cognitive Assessment scores (P < .05, r = 0.422-0.683). Right CA1 and ML body volumes positively related with the Mini-Mental State Examination scores (P < .05, r = 0.503-0.575). The enlarged CP related to atrophy of hippocampal subfield volumes and the glymphatic system dysfunction were shown in BUD patients.

Analysis of Speech Features in Alzheimer’s Disease with Machine Learning: A Case-Control Study

Background: Changes in the speech and language of patients with Alzheimer’s disease (AD) have been reported. Using machine learning to characterize these irregularities may contribute to the early, non-invasive diagnosis of AD. Methods: We conducted cognitive function assessments, including the Mini-Mental State Examination, with 83 patients with AD and 75 healthy elderly participants, and recorded pre- and post-assessment conversations to evaluate participants’ speech. We analyzed the characteristics of the spectrum, intensity, fundamental frequency, and minute temporal variation (∆) of the intensity and fundamental frequency of the speech and compared them between patients with AD and healthy participants. Additionally, we evaluated the performance of the speech features that differed between the two groups as single explanatory variables. Results: We found significant differences in almost all elements of the speech spectrum between the two groups. Regarding the intensity, we found significant differences in all the factors except for the standard deviation between the two groups. In the performance evaluation, the areas under the curve revealed by logistic regression analysis were higher for the center of gravity (0.908 ± 0.036), mean skewness (0.904 ± 0.023), kurtosis (0.932 ± 0.023), and standard deviation (0.977 ± 0.012) of the spectra. Conclusions: This study used machine learning to reveal speech features of patients diagnosed with AD in comparison with healthy elderly people. Significant differences were found between the two groups in all components of the spectrum, paving the way for early non-invasive diagnosis of AD in the future.

Deferiprone in Alzheimer Disease

Interventions that substantially slow neurodegeneration are needed to address the growing burden of Alzheimer disease (AD) to societies worldwide. Elevated brain iron observed in AD has been associated with accelerated cognitive decline and may be a tractable drug target. To investigate whether the brain-permeable iron chelator deferiprone slows cognitive decline in people with AD. This phase 2, double-masked, placebo-controlled randomized clinical trial of 12-month duration was conducted at 9 sites in Australia between August 2, 2018, and April 1, 2023. Patients older than 54 years with amyloid-confirmed mild cognitive impairment or early AD (a Mini-Mental State Examination score of 20 or higher) were screened. Randomization was 2:1 and masked to participants and all study staff. Deferiprone 15 mg/kg twice a day or placebo administered orally for 12 months. The primary outcome was a composite cognitive measure assessed at baseline, 6 months, and 12 months using a neuropsychological test battery (NTB) of memory, executive function, and attention tasks. Secondary outcomes included change in brain iron burden measured by quantitative susceptibility mapping (QSM) magnetic resonance imaging (target engagement), brain volume changes (secondary efficacy measure), and adverse events (safety analysis). Of 167 patients screened for eligibility, 81 were included, with 53 randomly assigned to the deferiprone group (mean [SD] age, 73.0 [8.0] years; 29 male [54.7%]) and 28 to the placebo group (mean [SD] age, 71.6 [7.2] years; 17 male [60.7%]); 54 participants completed the study (7 [25.0%] withdrew from the placebo group and 20 [37.7%] from the deferiprone group). In an intention-to-treat analysis, participants in the deferiprone group showed accelerated cognitive decline on the NTB primary outcome (β for interaction = -0.50; 95% CI, -0.80 to -0.20) compared with placebo (change in NTB composite z score for deferiprone, -0.80 [95% CI, -0.98 to -0.62]; for placebo, -0.30 [95% CI, -0.54 to -0.06]). Secondary analysis revealed that this result was driven by worsening performance on executive function tests. The QSM confirmed that deferiprone decreased iron in the hippocampus compared with placebo (change in hippocampal QSM for deferiprone, -0.36 ppb [95% CI, -0.76 to 0.04 ppb]; for placebo, 0.32 ppb [95% CI, -0.12 to 0.75 ppb]; β for interaction = -0.68 [95% CI, -1.27 to -0.09]). Longitudinal hippocampal volume loss was not affected by deferiprone, but exploratory analysis of other brain regions revealed increased volume loss with deferiprone in frontal areas. The frequency of the adverse effect of neutropenia (4 participants [7.5%] in the deferiprone group) was higher than in similar studies (1.6%-4.4%). These trial findings show that deferiprone 15 mg/kg twice a day decreased hippocampal QSM and accelerated cognitive decline in patients with amyloid-confirmed early AD, suggesting that lowering iron with deferiprone is detrimental to patients with AD. ClinicalTrials.gov Identifier: NCT03234686.

Associations of Cognitive Function with Serum Magnesium and Phosphate in Hemodialysis Patients: A Cross-Sectional Analysis of the Osaka Dialysis Complication Study (ODCS)

Cognitive impairment and dementia are common in patients with chronic kidney disease, including those undergoing hemodialysis. Since magnesium and phosphate play important roles in brain function and aging, alterations in these and other factors related to bone mineral disorder (MBD) may contribute to low cognitive performance in patients on hemodialysis. This cross-sectional study examined the associations between cognitive function and MBD-related factors among 1207 patients on maintenance hemodialysis. Cognitive function was assessed by the Modified Mini-Mental State examination (3MS). The exposure variables of interest were serum magnesium, phosphate, calcium, calcium–phosphate product, intact parathyroid hormone, fetuin-A, T50 calciprotein crystallization test, use of phosphate binders, use of cinacalcet, and use of vitamin D receptor activators. Multivariable-adjusted linear regression models were used to examine the associations between 3MS and each of the exposure variables independent of 13 potential non-mineral confounders. We found that lower 3MS was associated with lower serum magnesium, lower phosphate, lower calcium–phosphate product, and nonuse of phosphate binders. These results suggest that magnesium and phosphate play potentially protective roles against cognitive impairment in this population.

Sensitive written hedgehog PICture Naming and Immediate Recall (PICNIR) as a valid and brief test of semantic and short-term episodic memory for very mild cognitive impairment.

Semantic and short-term episodic memory are impaired in some brain disorders including Alzheimer's disease. Development and validation of an almost self-administered, but cognitively demanding four-minute test identifying very mild cognitive impairment (vMCI). The innovative hedgehog PICture Naming and Immediate Recall (PICNIR) consisted of two parts. The first task was to write down the names of 20 black-and-white pictures to evaluate long-term semantic memory and language. The second task involves immediate recall and writing the names of as many previously named pictures as possible in one minute. The PICNIR is assessed using the number of naming errors (NE) and correctly recalled picture names (PICR). The PICNIR and a neuropsychological battery were administered to 190 elderly individuals living independently in the community. They were divided into those with vMCI (n = 43 with Montreal Cognitive Assessment (MoCA) 24 ± 3 points) and sociodemographically matched cognitively normal (CN) individuals (n = 147 with MoCA 26 ± 3). Both subgroups had predicted mean Mini-Mental State Examination scores of 28-29 points. Compared to CN, vMCI participants made more NE (0.3 ± 0.6 versus 0.6 ± 0.9; p = 0.02) and recalled fewer PICR (8.9 ± 2.2 versus 6.8 ± 2.2; p < 0.000001). Discriminative validity was satisfactory using the area under the ROC curve (AUC): 0.76 for PICR, 0.74 for MoCA, 0.67 for MoCA-five-word recall, and 0.59 for NE. The AUCs of PICR and MoCA were comparable and larger than those of MoCA five-point recall or NE. Logical Memory scores, RAVLT scores, Digit symbol, and animal fluency correlated with PICR. The picture-based PICNIR is an ultra-brief, sensitive cognitive test valid for assessing very mild cognitive impairment. Its effectiveness should be validated for other languages and cultures.