Assessment of smell disturbances 6 months after COVID-19 in Polish population.

Considering the frequency and severity of olfactory disorders associated with SARS-CoV-2 infection, attention to the olfactory loss has expanded. The aim of our study was to assess of smell disturbances 6 months after COVID-19. The study population consisted of 2 groups: 196 Post-COVID-19 patients who were hospitalized because of COVID-19, control sample-130 patients without reported smell disorders from general population-Bialystok PLUS study. People from both groups were asked to participate in the Sniffin Sticks Test (half year after the disease). Sniffin Sticks Test consisted of 12 standardized smell samples. The participant's test score was counted based on correct scent recognition. Middle/older age was related with lower likelihood of olfaction recovery. The biggest differences in recognition of particular fragrances were observed for: orange and lemon, lemon and coffee (p.adj < 0.001). Patients had the greatest problem in assessing smell of lemon. The comparison of scores between Delta, Omicron, Wild Type, Wild Type Alpha waves showed statistically significant difference between Delta and Wild Type waves (p = 0.006). Duration of the disease (r = 0.218), age (r = -0.253), IL-6 (r = -0.281) showed significant negative correlations with the score. Statistically significant variables in the case of smell disorders were Omicron wave (CI = 0.045-0.902; P = 0.046) and Wild Type wave (CI = 0.135-0.716; P = 0.007) compared to Delta wave reference. Moreover, patients with PLT count below 150 000/µl had greater olfactory disorders than those with PLT count over 150 000/µl. There are: smell differences between post-COVID-19 patients and healthy population; statistically significant difference between Delta and Wild Type waves in Post-COVID-19 group in score of the Sniffin Sticks Test. Smell disturbances depend on the age, cognitive impairments, clinical characteristics of the COVID-19 disease and sex of the patient.

Protocol: Prospective evaluation of feasibility, added value and satisfaction of remote digital self-assessment for mild cognitive impairment in routine care with the neotivCare app.

INTRODUCTION: Timely diagnosis of mild cognitive impairment (MCI) in Alzheimer's disease is crucial for early interventions, but its implementation is often challenging due to the complexity and time burden of required cognitive assessments. To address these challenges, the usability of new unsupervised digital remote assessment tools needs to be validated in a care context. METHODS AND ANALYSIS: This multicentric healthcare research evaluation survey, re.cogni.ze, aims to evaluate physician satisfaction with a remote digital assessment solution (neotivCare) in primary and specialised routine care in Germany. Over a period of 22 months, physicians in different regions of Germany will recommend the application (app) to approximately 1000 patients for a 12-week self-assessment of cognition. The primary endpoint is the evaluation of physicians' and patients' overall satisfaction with neotivCare and with neuropsychological questionnaires/standard procedures using a Likert scale, while secondary endpoints include user-friendliness, qualitative assessment of acceptance and potential improvements on medical routine services. The study also aims to evaluate the proportion of physicians or patients attributing added value to neotivCare compared with standard paper-pencil tests. The study results will provide insights into the feasibility, efficiency and acceptance of new digital tools for MCI diagnosis in routine care. The re.cogni.ze survey will thus provide proof-of-concept information for the implementation of remote digital cognitive assessment apps for MCI into medical routine care. ETHICS AND DISSEMINATION: This study was approved by the ethics committee of the State Medical Association (Landesärztekammer) Baden-Württemberg, (F-2021-161) as the leading committee and nine ethics committees local to the participating healthcare professionals (Lower Saxony, North Rhine, Westphalia-Lippe, Hesse, Bremen, Berlin, University of Göttingen, Charite, University of Rostock). The results can be shared (upon reasonable quest) to improve routine clinical processes and holistic approaches.

Social frailty and the incidence of motoric cognitive risk syndrome in older adults.

INTRODUCTION: Various associations between social factors and motoric cognitive risk syndrome (MCR) have been reported. However, whether social frailty (integrated from multiple social factors) is associated with MCR is still unclear. METHODS: We included 4657 individuals without MCR at Round 1 of the NHATS as the discovery sample, and 3075 newly recruited individuals from Round 5 of the NHATS as the independent validation sample. Social frailty was assessed by five social items. MCR was defined as the presence of both subjective cognitive complaints and slow gait speed in individuals without dementia or mobility disability. RESULTS: Compared with normal individuals, those with social frailty had higher risk of incident MCR (hazard ratio [HR]: 1.57, 95% confidence interval [CI]: 1.34-1.84). Each additional unfavorable social item was associated with an increased risk of MCR (HR: 1.32, 95% CI: 1.22-1.43). DISCUSSION: Social frailty was associated with an increased risk of incident MCR in older adults. HIGHLIGHTS: Various associations between social factors and motoric cognitive risk syndrome (MCR) have been reported. Social frailty that integrated from multiple social factors was associated with an increased risk of incident MCR. Social frailty should be included in the early screening of individuals to identify those at higher risk of MCR.

Validity, diagnostics and feasibility of the Italian version of the Montreal Cognitive Assessment (MoCA) in Huntington's disease.

BACKGROUND: This study is aimed at assessing the clinimetric properties and feasibility of the Italian version of the Montreal Cognitive Assessment (MoCA) in patients with Huntington's disease (HD). METHODS: N = 39 motor-manifest HD patients, N = 74 Parkinson's disease (PD) patients and N = 92 matched HCs were administered the MoCA. HD patients further underwent the Unified Huntington's Disease Rating Scale (UHDRS), self-report questionnaires for anxiety and depression and a battery of first- and second-level cognitive tests. Construct validity was tested against cognitive and behavioural/psychiatric measures, whereas ecological validity against motor-functional subscales of the UHDRS. Sensitivity to disease severity was tested, via a logistic regression, by exploring whether the MoCA discriminated between patients in Shoulson-Fahn stage ≤ 2 vs. > 2. The same analysis was employed to test its ability to discriminate HD patients from HCs and PD patients. RESULTS: The MoCA converged towards cognitive and behavioural measures but diverged from psychiatric ones, being also associated with motor/functional measures from the UHDRS. In identifying patients with cognitive impairment, adjusted MoCA scores were highly accurate (AUC = .92), yielding optimal diagnostics at the cut-off of < 19.945 (J = .78). The MoCA was able to discriminate patients in the middle-to-advanced from those in the early-to-middle stages of the disease (p = .037), as well as to differentiate HD patients from both HCs (p < .001) and PD patients (p < .001). CONCLUSIONS: The MoCA is a valid, diagnostically sound and feasible cognitive screener in motor-manifest HD patients, whose adoption is thus encouraged in clinical practice and research.

Screening, Assessment, and Pharmacologic Treatment of Mild Cognitive Impairment and Early Alzheimer's Disease: The Role for Monoclonal Antibodies.

The Psychiatric Consultation Service at Massachusetts General Hospital sees medical and surgical inpatients with comorbid psychiatric symptoms and conditions. During their twice-weekly rounds, Dr Stern and other members of the Consultation Service discuss diagnosis and management of hospitalized patients with complex medical or surgical problems who also demonstrate psychiatric symptoms or conditions. These discussions have given rise to rounds reports that will prove useful for clinicians practicing at the interface of medicine and psychiatry.Prim Care Companion CNS Disord. 2023;25(6):23f03544. Author affiliations are listed at the end of this article.

Analysis of Costs for Imaging-Assisted Pharmaceutical Intervention in Alzheimer's Disease with Lecanemab: Snapshot of the First 3 Years.

BACKGROUND: The approval of lecanemab for the treatment of Alzheimer's disease (AD) by the Food and Drug Administration in the United States has sparked controversy over issues of safety, cost, and efficacy. Furthermore, the prognostication of cognitive decline is prohibitively difficult with current methods. The inability to forecast incipient dementia in patients with biological AD suggests a prophylactic scenario wherein all patients with cognitive decline are prescribed anti-AD drugs at the earliest manifestations of dementia; however, most patients with mild cognitive impairment (approximately 77.7%) do not develop dementia over a 3-year period. Prophylactic response therefore constitutes unethical, costly, and unnecessary treatment for these patients. OBJECTIVE: We present a snapshot of the costs associated with the first 3 years of mass availability of anti-AD drugs in a variety of scenarios. METHODS: We consider multiple prognostication scenarios with varying sensitivities and specificities based on neuroimaging studies in patients with mild cognitive impairment to determine approximate costs for the large-scale use of lecanemab. RESULTS: The combination of fluorodeoxyglucose and magnetic resonance was determined to be the most cost-efficient at $177,000 for every positive outcome every 3 years under an assumed adjustment in the price of lecanemab to $9,275 per year. CONCLUSIONS: Imaging-assisted identification of cognitive status in patients with prodromal AD is demonstrated to reduce costs and prevent instances of unnecessary treatment in all cases considered. This highlights the potential of this technology for the ethical prescription of anti-AD medications under a paradigm of imaging-assisted early detection for pharmaceutical intervention in the treatment of AD.

Rivastigmine for Cognitive Impairment in Multiple Sclerosis: A Prospective Randomized Open Label study with Blinded End-Point Assessment.

Background and Objective: Nearly 40-65% patients with MS develop cognitive impairment during the disease. There is no treatment clearly effective in improving the cognitive deficits. To evaluate the efficacy and safety of Rivastigmine in cognitively impaired MS patients. Materials and Methods: This was a parallel group randomized open label study with blinded end-point assessment. The patient allocation to treatment and control arm was done by telephonic contact with an independent statistician who used a computer to generate a random sequence of allocation using permuted block randomization (varying block size of 4 and 6) in 1:1 ratio. The outcome assessor was blinded to this allocation. A total of 60 patients were in included in the study (30 in each arm). Primary outcome was improvement in memory functions (using logical memory subset of Wechsler Memory Scale III, India) assessed after 12 weeks. Secondary outcomes included fatigue, depression, and safety. Results: In modified intention to treat analysis (N = 22), treatment arm showed statistically significant improvement in memory function with mean difference of 7.56 [95% CI (0.67,14.46), p 0.032] as compared to control arm. There was no statistically significant difference in outcomes such as fatigue and depression. Vomiting was the most common side effect. No major adverse events were observed in either group. Conclusion: Rivastigmine is safe and effective in improving memory functions in cognitively impaired MS patients. However, our study has a small sample size and tested only a single domain. Larger studies with a validated single comprehensive neuropsychological test are needed.

Detection of mild cognitive impairment in Parkinson's disease using gradient boosting decision tree models based on multilevel DTI indices.

BACKGROUND: Cognitive dysfunction is the most common non-motor symptom in Parkinson's disease (PD), and timely detection of a slight cognitive decline is crucial for early treatment and prevention of dementia. This study aimed to build a machine learning model based on intra- and/or intervoxel metrics extracted from diffusion tensor imaging (DTI) to automatically classify PD patients without dementia into mild cognitive impairment (PD-MCI) and normal cognition (PD-NC) groups. METHODS: We enrolled PD patients without dementia (52 PD-NC and 68 PD-MCI subtypes) who were assigned to the training and test datasets in an 8:2 ratio. Four intravoxel metrics, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD), and two novel intervoxel metrics, local diffusion homogeneity (LDH) using Spearman's rank correlation coefficient (LDHs) and Kendall's coefficient concordance (LDHk), were extracted from the DTI data. Decision tree, random forest, and eXtreme gradient boosting (XGBoost) models based on individual and combined indices were built for classification, and model performance was assessed and compared via the area under the receiver operating characteristic curve (AUC). Finally, feature importance was evaluated using SHapley Additive exPlanation (SHAP) values. RESULTS: The XGBoost model based on a combination of the intra- and intervoxel indices achieved the best classification performance, with an accuracy of 91.67%, sensitivity of 92.86%, and AUC of 0.94 in the test dataset. SHAP analysis showed that the LDH of the brainstem and MD of the right cingulum (hippocampus) were important features. CONCLUSIONS: More comprehensive information on white matter changes can be obtained by combining intra- and intervoxel DTI indices, improving classification accuracy. Furthermore, machine learning methods based on DTI indices can be used as alternatives for the automatic identification of PD-MCI at the individual level.

Change on the Repeatable Battery for the Assessment of Neuropsychological Status and its relationship to brain amyloid.

BACKGROUND: The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) has been associated with commonly used biomarkers of Alzheimer's disease (AD), including brain amyloid plaque density. However, less is known about if changes in the RBANS across time are also related to brain amyloid deposition. The current study sought to expand on prior work by examining the relationship between changes over time on the RBANS and amyloid deposition via positron emission tomography (PET). METHOD: One-hundred twenty-six older adults with intact or impaired cognition and daily functioning underwent repeat assessment with the RBANS across nearly 16 months, as well as had a baseline amyloid PET scan. RESULTS: In the entire sample, amyloid deposition was significantly related to change on all five Indexes and the Total Scale score of the RBANS, with greater amyloid being associated with worsening cognition. This pattern was also observed in 11 of 12 subtests. CONCLUSIONS: Whereas prior studies have identified a relationship between baseline RBANS and amyloid status, the current findings support that changes in the RBANS are also indicative of AD brain pathology, even if these findings are mediated by cognitive status. Although replication in a more diverse sample is needed, these results continue to support the use of the RBANS in AD clinical trials.

Clinimetrics and feasibility of the Italian version of the Frontal Assessment Battery (FAB) in non-demented Parkinson's disease patients.

BACKGROUND: This study aimed at assessing the cross-sectional and longitudinal clinimetrics and feasibility of the Frontal Assessment Battery (FAB) in non-demented Parkinson's disease (PD) patients. METHODS: N = 109 PD patients underwent the FAB and the Montreal Cognitive Assessment (MoCA). A subsample of patients further underwent a thorough motor, functional and behavioral evaluation (the last including measures of anxiety, depression and apathy). A further subsample was administered a second-level cognitive battery tapping on attention, executive functioning, language, memory, praxis and visuo-spatial abilities. The following properties of the FAB were tested: (1) concurrent validity and diagnostics against the MoCA; (2) convergent validity against the second-level cognitive battery; (4) association with motor, functional and behavioral measures; (5) capability to discriminate patients from healthy controls (HCs; N = 96); (6) assessing its test-retest reliability, susceptibility to practice effects and predictive validity against the MoCA, as well as deriving reliable change indices (RCIs) for it, at a ≈ 6-month interval, within a subsample of patients (N = 33). RESULTS: The FAB predicted MoCA scores at both T0 and T1, converged with the vast majority of second-level cognitive measures and was associated with functional independence and apathy. It accurately identified cognitive impairment (i.e., a below-cut-off MoCA score) in patients, also discriminating patients from HCs. The FAB was reliable at retest and free of practice effects; RCIs were derived according to a standardized regression-based approach. DISCUSSION: The FAB is a clinimetrically sound and feasible screener for detecting dysexecutive-based cognitive impairment in non-demented PD patients.

Continuity of care (COC) and amyloid-ß PET scan: the CARE-IDEAS study.

BACKGROUND: High continuity of care (COC) is associated with better clinical outcomes among older adults. The impact of amyloid-ß PET scan on COC among adults with mild cognitive impairment (MCI) or dementia of uncertain etiology is unknown. METHODS: We linked data from the CARE-IDEAS study, which assessed the impact of amyloid-ß PET scans on outcomes in Medicare beneficiaries with MCI or dementia of uncertain etiology and their care partners, to Medicare claims (2015-2018). We calculated a participant-level COC index using the Bice-Boxerman formula and claims from all ambulatory evaluation and management visits during the year prior to and following the amyloid-ß PET scan. We compared baseline characteristics by scan result (elevated or non-elevated) using standardized differences. To evaluate changes in COC, we used multiple regression models adjusting for sociodemographics, cognitive function, general health status, and the Charlson Comorbidity Index. RESULTS: Among the 1171 cohort members included in our analytic population, the mean age (SD) was 75.2 (5.4) years, 61.5% were male and 93.9% were non-Hispanic white. Over two-thirds (68.1%) had an elevated amyloid-ß PET scan. Mean COC for all patients was 0.154 (SD = 0.102; range = 0-0.73) prior to the scan and 0.158 (SD = 0.105; range = 0-1.0) in the year following the scan. Following the scan, the mean COC index score increased (95% CI) by 0.005 (-0.008, 0.019) points more for elevated relative to not elevated scan recipients, but this change was not statistically significant. There was no association between scan result (elevated vs. not elevated) or any other patient covariates and changes in COC score after the scan. CONCLUSION: COC did not meaningfully change following receipt of amyloid-ß PET scan in a population of Medicare beneficiaries with MCI or dementia of uncertain etiology. Future work examining how care continuity varies across marginalized populations with cognitive impairment is needed.

Assessment of cognitive function and its predictors in patients with multiple sclerosis: a case-control study.

INTRODUCTION: Cognitive dysfunction can be seen in patients with MS (PwMS) and has been gaining attention in recent years. This study aimed to assess cognitive function and its determinants in PwMS using Addenbrooke Cognitive Assessment Battery (ACE-R). MATERIAL AND METHODS: This case-control study was conducted at an outpatient MS clinic in Istanbul. The sample consisted of 60 consecutive patients with definite MS and 60 matched controls. Cognitive function was evaluated by using the ACE-R. Subjective cognitive function, anxiety, depression, and fatigue were evaluated by validated scales. RESULTS: The mean age of the patients was 38.8, and the time since diagnosis was nine years. The majority of the patients had relapsing-remitting MS. Compared to age, sex, and education-matched healthy controls, all ACE-R scores, attention/orientation (p = 0.020), memory (p = 0.003), verbal fluency (p = 0.002), language (p = 0.002), visuospatial (p = 0.001), and general cognitive functioning (p < 0.001), were found to be lower in PwMS. The patients obtained the lowest scores in memory and fluency and the highest in the visuospatial domain. Age, education, mobility, subjective cognitive dysfunction, anxiety, depression, and fatigue were associated with cognitive test scores. However, only education, depression, and fatigue remained significant in the multivariable analysis. CONCLUSION: This study revealed impaired domains of cognitive functioning and its predictors in PwMS. Understanding cognitive dysfunction and its predictors in PwMS may enable healthcare providers to identify patients who might benefit from interventions to improve cognitive function. Assessment of PwMS at outpatient clinics with a practical cognitive test that does not require special competence can be suggested.

The effects of simulated and actual visual impairment on the Montreal Cognitive Assessment.

Many cognitive assessments include a visual component; however, adults may experience a decline in visual acuity with age. Scores on cognitive assessments of adults with visual impairments are typically lower than adults with normal vision, however, it is unclear if these lower scores are a consequence of cognitive or visual impairment. We measured the impact of simulated visual impairment on a cognitive screening measure. Undergraduate students were administered the Montreal Cognitive Assessment (MoCA) under three vision conditions (20/20, simulated 20/80, simulated 20/200). We found a main effect of vision condition on test performance such that there is a statistically significant difference between scores on the 20/20 and 20/80 conditions and 20/200. However, no differences were observed between 20/80 and 20/200. Participants' performance decreased with simulated impairments. A secondary between-subject analysis was conducted on a sample of older adults with and without vision impairment; no differences were found.

Relationship between subjective report and objective assessment of neurocognitive functioning in persons with multiple sclerosis.

OBJECTIVE: Persons with multiple sclerosis (PwMS) are at increased risk for cognitive dysfunction. Considering the impact and potential ramifications of cognitive dysfunction, it is important that cognition is routinely assessed in PwMS. Thus, it is also important to identify a screener that is accurate and sensitive to MS-related cognitive difficulties, which can inform decisions for more resource-intensive neuropsychological testing. However, research focused on available self-report screeners has been mixed, such as with the Multiple Sclerosis Neuropsychological Screening Questionnaire (MSNQ). This study aims to clarify the relationship between subjective and objective assessment of cognitive functioning in MS by examining domain-specific performance and intraindividual variability (IIV). METHODS: 87 PwMS (F = 65, M = 22) completed a comprehensive neuropsychological battery which included self- and informant-report measures of neurocognitive functioning. Scores were examined in relation to mean performance on five domains of cognitive functioning and two measures of IIV. RESULTS: The MSNQ-Self was inversely associated with executive function, verbal memory, and visual memory; it was not associated with IIV. The MSNQ-Informant was inversely associated with executive function and verbal memory, and positively associated with one measure of IIV. The MSNQ-Self showed a correlation of moderate effect size with depression (r = .39) while the MSNQ-Informant did not. CONCLUSIONS: Results suggest that the MSNQ-Self and MSNQ-Informant show similar utility. Our findings also suggest that domains of executive function and memory may be most salient, thus more reflected in subjective reports of cognitive functioning. Future work should further examine the impact of mood disturbance with cognitive performance and IIV.

Incremental medical cost of delirium in elderly patients with cognitive impairment: analysis of a nationwide administrative database in Japan.

OBJECTIVES: Delirium is a neuropsychiatric disorder that commonly occurs in elderly patients with cognitive impairment. The economic burden of delirium in Japan has not been well characterised. In this study, we assessed incremental medical costs of delirium in hospitalised elderly Japanese patients with cognitive impairment. DESIGN: Retrospective, cross-sectional, observational study. SETTING: Administrative data collected from acute care hospitals in Japan between April 2012 and September 2020. PARTICIPANTS: Hospitalised patients ≥65 years old with cognitive impairment were categorised into groups-with and without delirium. Delirium was identified using a delirium identification algorithm based on the International Classification of Diseases 10th Revision codes or antipsychotic prescriptions. OUTCOME MEASURES: Total medical costs during hospitalisation were compared between the groups using a generalised linear model. RESULTS: The study identified 297 600 hospitalised patients ≥65 years of age with cognitive impairment: 39 836 had delirium and 257 764 did not. Patient characteristics such as age, sex, inpatient department and comorbidities were similar between groups. Mean (SD) unadjusted total medical cost during hospitalisation was 979 907.7 (871 366.4) yen for patients with delirium and 816 137.0 (794 745.9) yen for patients without delirium. Adjusted total medical cost was significantly greater for patients with delirium compared with those without delirium (cost ratio=1.09, 95% CI: 1.09 to 1.10; p<0.001). Subgroup analyses revealed significantly higher total medical costs for patients with delirium compared with those without delirium in most subgroups except patients with hemiplegia or paraplegia. CONCLUSIONS: Medical costs during hospitalisation were significantly higher for patients with delirium compared with those without delirium in elderly Japanese patients with cognitive impairment, regardless of patient subgroups such as age, sex, intensive care unit admission and most comorbidities. These findings suggest that delirium prevention strategies are critical to reducing the economic burden as well as psychological/physiological burden in cognitively impaired elderly patients in Japan.

Is Periodontitis Associated with Age-Related Cognitive Impairment? The Systematic Review, Confounders Assessment and Meta-Analysis of Clinical Studies.

It has been suggested that molecular pathological mechanisms responsible for periodontitis can be linked with biochemical alterations in neurodegenerative disorders. Hypothetically, chronic systemic inflammation as a response to periodontitis plays a role in the etiology of cognitive impairment. This study aimed to determine whether periodontitis (PDS) is a risk factor for age-related cognitive impairment (ACI) based on evidence of clinical studies. A comprehensive, structured systematic review of existing data adhering to the Preferred Reporting Items for Systematic Review and Meta Analyses (PRISMA) guidelines was carried out. Five electronic databases, PubMed, Embase, Scopus, Web of Science, and Cochrane, were searched for key terms published in peer-reviewed journals until January 2021. The Newcastle-Ottawa scale was used to assess the quality of studies and risk of bias. The primary and residual confounders were explored and evaluated. A meta-analysis synthesizing quantitative data was carried out using a random-effects model. Seventeen clinical studies were identified, including 14 cohort, one cross-sectional, and two case-control studies. Study samples ranged from 85 to 262,349 subjects, with follow-up between 2 and 32 years, and age above 45 years, except for two studies. The findings of studies suggesting the PDS-ACI relationship revealed substantial differences in design and methods. A noticeable variation related to the treatment of confounders was observed. Quality assessment unveiled a moderate quality of evidence and risk of bias. The subgroups meta-analysis and pooled sensitivity analysis of results from seven eligible studies demonstrated overall that the presence of PDS is associated with an increased risk of incidence of cognitive impairment (OR = 1.36, 95% CI 1.03-1.79), particularly dementia (OR = 1.39, 95% CI 1.02-1.88) and Alzheimer's disease (OR = 1.03 95% CI 0.98-1.07)). However, a considerable heterogeneity of synthesized data (I2 = 96%) and potential publication bias might affect obtained results. While there is a moderate statistical association between periodontitis and dementia, as well as Alzheimer's disease, the risk of bias in the evidence prevents conclusions being drawn about the role of periodontitis as a risk factor for age-related cognitive impairment.

Montreal cognitive assessment as a screening instrument for cognitive impairment in systemic lupus erythematosus patients without overt neuropsychiatric manifestations.

OBJECTIVES: The Montreal Cognitive Assessment (MoCA) is an increasingly used screening tool for cognitive impairment. The aim of this study was to examine how MoCA performed in identifying cognitive impairment (CI) domains in SLE patients compared with formal standardized neuropsychological testing (NPT). Factors related to SLE disease, immunologic and psychological state associated with CI were also explored. METHODS: This cross-sectional study recruited 50 SLE patients without overt neuropsychiatric manifestations from April 2017 to May 2018. The patients were evaluated with MoCA, formal NPT and the Depression, Anxiety, and Stress Scales (DASS) 42-item self-report questionnaire. Values of sensitivity and specificity were computed for different cut-offs of MoCA within each cognitive domain of NPT and descriptive analysis was used to identify the factors affecting cognitive function. RESULTS: The median score for MoCA was 27.5 (range 22-30). Using a MoCA cutoff of <26, 18 (36%) were identified to have CI using NPT compared to 8 (16%) using MoCA. The most frequently affected cognitive domain was executive functioning with 15 affected patients. Sensitivities and specificities of the MoCA range from 50% to 100% and 5.7% to 16.7%, respectively, across cognitive domains. A lower MoCA cutoff of <25 improve sensitivity of identifying impairment in executive functioning from 60% to 80%. In univariate analysis, DASS scores, disease activity, presence of antiphospholipid antibodies, presence of concurrent autoimmune disease, current, and cumulative corticosteroid therapy did not predict cognitive performance. CONCLUSION: MoCA may be a useful screening tool to identify the most frequently affected cognitive domain which is executive functioning using a lower cutoff of <25 in SLE patients without overt neuropsychiatric manifestations.

Establishment and assessment of postoperative cognitive impairment in intermittent hypoxia rats. / é—´æ­‡æ€§ç¼ºæ°§å¤§é¼ æœ¯åŽè®¤çŸ¥åŠŸèƒ½æŸä¼¤æ¨¡åž‹çš„å»ºç«‹.

OBJECTIVES: Obstructive sleep apnea hypopnea syndrome (OSAHS) is a chronic disease characterized by repeated episodes of apnea or hypopnea, accompanied by intermittent awakening and sleep disturbances. The incidence of OSAHS is increasing and has become a serious disease. In recent years, more and more evidence shows that OSAHS is closely related to postoperative neurocognitive disorders, and the preparation of models of postoperative cognitive impairment in intermittent hypoxia animals is an important way to study its pathogenesis and intervention targets. This study aims to explore the establishment and evaluation of the animal model of postoperative cognitive impairment in intermittent hypoxia rats. METHODS: A total of 108 male SD rats were randomly divided into 8 groups: a control group (C group, n=27), a surgery group (S group, n=27), an intermittent hypoxia 7 d group (H1 group, n=9), an intermittent hypoxia 14 d group (H2 group, n=9), an intermittent hypoxia 21 d group (H3 group, n=9), an intermittent hypoxia 7 d operation group (O1 group, n=9), an intermittent hypoxia 14 d operation group (O2 group, n=9), and an intermittent hypoxia 21 d operation group (O3 group, n=9). The rats in the H1, H2 and H3 group treated with intermittent hypoxia for 7, 14, and 21 d, respectively. The rats in the O1, O2 and O3 groups received left lateral hepatic lobectomy after 7, 14, and 21 d intermittent hypoxia, respectively. The rats in each group were subjected to open field test, new object recognition test, and Barnes Maze test. The expression of IL-1ß mRNA in hippocampus of rats was detected at the 1st day after the surgery. RESULTS: Compared with the C, S, and H2 groups, the discrimination index in novel object recognition test 6 h and 1 d after the surgery of the O2 group was significantly lower (P<0.05), the latency and errors in Barnes maze at the 1st day and 2nd day after the surgery were increased significantly (P<0.05) and the expression of IL-1ß mRNA in hippocampus was significantly increased at the 1st day after the operation (P<0.05). However, there was no difference in the preference index in NORT 6 h and 1 d after the surgery, the latency and errors in Barnes maze and the expression of IL-1ß mRNA in hippocampus between the O1 group and the H1 group, the H3 group and the O3 group (all P>0.05). CONCLUSIONS: The rate with intermittent hypoxia 14 d pretreatment with anesthesia and laparotomy could be established the animal model of postoperative cognitive impairment.

European Psychiatric Association guidance on assessment of cognitive impairment in schizophrenia.

BACKGROUND: Impairment in a wide range of cognitive abilities has been consistently reported in individuals with schizophrenia. Both neurocognitive and social cognitive deficits are thought to underlie severe functional disabilities associated with schizophrenia. Despite the key role in schizophrenia outcome, cognition is still poorly assessed in both research and clinical settings. METHODS: In this guidance paper, we provide a systematic review of the scientific literature and elaborate several recommendations for the assessment of cognitive functions in schizophrenia both in research settings and in real-world clinical practice. RESULTS: Expert consensus and systematic reviews provided guidance for the optimal assessment of cognitive functions in schizophrenia. Based on the reviewed evidence, we recommend a comprehensive and systematic assessment of neurocognitive and social cognitive domains in schizophrenia, in all phases of the disorder, as well as in subjects at risk to develop psychosis. This European Psychiatric Association guidance recommends not only the use of observer reports but also self-reports and interview-based cognitive assessment tools. The guidance also provides a systematic review of the state of the art of assessment in the first episode of psychosis patients and in individuals at risk for psychosis. CONCLUSION: The comprehensive review of the evidence and the recommendations might contribute to advance the field, allowing a better cognitive assessment, and avoiding overlaps with other psychopathological dimensions. The dissemination of this guidance paper may promote the development of shared guidelines concerning the assessment of cognitive functions in schizophrenia, with the purpose to improve the quality of care and to obtain recovery.

Montreal Cognitive Assessment (MoCA) and Digit Symbol Substitution Test (DSST) as a screening tool for evaluation of cognitive deficits in schizophrenia.

Cognitive deficit is one of the core features of schizophrenia and is associated with poor functional outcomes. There is a lack of validated criteria to screen and monitor cognitive deficits in schizophrenia. This study aimed to evaluate the concurrent validity and sensitivity of MoCA (Montreal Cognitive Assessment) and DSST (Digit Symbol Substitution Test) in identifying cognitive deficits in Schizophrenia comparing with a comprehensive MCCB [MATRICS (Measurement And Treatment Research to Improve Cognition in Schizophrenia) Consensus Cognitive Battery] equivalent battery. We did clinical and cognitive assessments on 30 patients with schizophrenia and 30 age and gender-matched healthy controls. The Cronbach's Alpha of MoCA was 0.839, and on adding the DSST, it increased to 0.859. In stepwise binary logistic regression, adding DSST to MoCA improved the prediction of cognitive impairment as defined by a comprehensive battery with 86.7% classification accuracy. Receiver operating characteristic curve analysis suggested a score of 25 of MoCA and 59 of DSST as an optimal cut-off in identifying severe cognitive deficits with an additional MoCA cut-off of 27 for identifying mild cognitive deficits. Combined MoCA and DSST is a sensitive and quick method to screen for neurocognitive deficits in schizophrenia.