The Effect of the ‘Touch Screen-Based Cognitive Training’ for Children with Severe Cognitive Impairment in Special Education

Traditional education in special schools have some limitations. We aimed to investigate if the ‘touch screen-based cognitive training’ is feasible and effective for children with severe cognitive impairment (developmental age 18–36 months) in special education. In this case, 29 children were randomly allocated to intervention (n = 17, ‘touch screen-based cognitive training’, 30 min/session, 3 times/week, 12 weeks) and control (n = 12, traditional education) groups. Psychoeducational Profile-Revised (PEP-R), Early Childhood Behavior Questionnaire (ECBQ), Sequenced Language Scale for Infants (SELSI), Pediatric Evaluation of Disability Inventory (PEDI), and Goal Attainment Scale (GAS) were measured before and after 12 weeks of education. The ‘touch screen-based cognitive training’ was applicable in special education. When repeated measures analysis of variance (ANOVA) was used, significant groupⅹtime effect was found for GAS, and significant group effect was found for ECBQ (attentional shifting) and GAS. When adjusting for pre-education measurements, the intervention had a significant effect on the post-education measurements of ECBQ (attentional shifting) and GAS (p < 0.05). No relationship existed between the degree of improvements and the severeness of developmental delay in the measurements. ‘Touch screen-based cognitive training’ in special school was feasible and it improved cognition in children with severe cognitive impairment (developmental age 18–36 months), irrespective of the severeness of the developmental delay.

Atrial fibrillation and geriatric syndromes: an association beyond traditional risk factors

Objectives Atrial fibrillation (AF) is particularly frequent in nonagenarian patients, in whom geriatric syndromes (GS) are also often present and may interfere with treatment decision-making and impact prognosis. Previous work has identified an association between AF and GS in older adults; however, available data is limited for nonagenarian patients and other possibly associated factors. Therefore, this study aims to describe the association between AF and GS in nonagenarian patients. Methods This is a cross-sectional study of 205 nonagenarian patients followed in a third-level hospital's Geriatric Cardiology Clinic. Sociodemographic factors, comorbidities, and GS were investigated. To determine the association between AF and GS, multivariate logistic regression analyses were carried out, taking into account other correlations. Results The mean age of participants was 92.56 (SD 2.39) years; 124 (60.5%) were women. AF was present in 30.7% of participants. Most common GS were sarcopenia (77.6%), risk of malnutrition or malnutrition (69.8%), frailty (52.2%), depressive symptoms (45.9%), cognitive impairment (27.3%), and severe disability for activities of daily living (25.4%). In the multivariate logistic regression analysis, AF was independently associated with frailty (OR 2.57; CI 95% 1.32–5.01; p=0.006), malnutrition (OR 1.95; CI 95% 1.3–8, p=0.045), moderate to severe cognitive impairment (OR 2.15; CI 95% 1.11–4.14; p=0.023), and depressive symptoms (OR 5.84; CI 95% 1.16–4.12, p=0.016). Conclusions AF is independently associated with frailty, malnutrition, depressive symptoms, moderate to severe cognitive impairment and severe functional disability in nonagenarian patients. FUNDunding Acknowledgement Type of funding sources: None.

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis

Background Little is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents. Methods Minimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs). Results In older nursing home residents at admission, three physical frailty subgroups were identified: “mild physical frailty” (prevalence: 7.6%), “moderate physical frailty” (44.5%) and “severe physical frailty” (47.9%). Those in “moderate physical frailty” or “severe physical frailty” had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in “severe physical frailty” also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to “moderate physical frailty” [aOR (95%CI)moderate cognitive impairment: 1.01 (0.99–1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01–1.05)] and much higher odds to the “severe physical frailty” subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35–2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58–5.90)]. Conclusions Findings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.

Predictors of incident malnutrition—a nutritionDay analysis in 11,923 nursing home residents

Background/Objectives Malnutrition (MN) in nursing home (NH) residents is associated with poor outcome. In order to identify those with a high risk of incident MN, the knowledge of predictors is crucial. Therefore, we investigated predictors of incident MN in older NH-residents. Subjects/Methods NH-residents participating in the nutritionDay-project (nD) between 2007 and 2018, aged ≥65 years, with complete data on nutritional status at nD and after 6 months and without MN at nD. The association of 17 variables (general characteristics (n = 3), function (n = 4), nutrition (n = 1), diseases (n = 5) and medication (n = 4)) with incident MN (weight loss ≥ 10% between nD and follow-up (FU) or BMI (kg/m2) < 20 at FU) was analyzed in univariate generalized estimated equation (GEE) models. Significant (p < 0.1) variables were selected for multivariate GEE-analyses. Effect estimates are presented as odds ratios and their respective 99.5%-confidence intervals. Results Of 11,923 non-malnourished residents, 10.5% developed MN at FU. No intake at lunch (OR 2.79 [1.56–4.98]), a quarter (2.15 [1.56–2.97]) or half of the meal eaten (1.72 [1.40–2.11]) (vs. three-quarter to complete intake), the lowest BMI-quartile (20.0–23.0) (1.86 [1.44–2.40]) (vs. highest (≥29.1)), being between the ages of 85 and 94 years (1.46 [1.05; 2.03]) (vs. the youngest age-group 65–74 years)), severe cognitive impairment (1.38 [1.04; 1.84]) (vs. none) and being immobile (1.28 [1.00–1.62]) (vs. mobile) predicted incident MN in the final model. Conclusion 10.5% of non-malnourished NH-residents develop MN within 6 months. Attention should be paid to high-risk groups, namely residents with poor meal intake, low BMI, severe cognitive impairment, immobility, and older age.

Serum levels of non-enzymatic antioxidants in female dementia patients with respect to the degree of cognitive impairment

The aim of this study was to investigate the correlation between the severity of cognitive impairment in Alzheimer’s disease (AD) and vascular dementia (VD) and the serum antioxidant status of uric acid (UA), albumin (ALB) and bilirubin (BIL) in female patients. The cross-sectional study included 90 subjects, aged ≥65, divided into three groups: 30 patients with AD, 30 patients with VD and 30 control subjects. For cognitive assessment, all participants underwent the Montreal Cognitive Assessment (MoCA). Serum concentrations of ALB, UA and BIL were determined spectrophotometrically. The AD patients had a significant decrease of UA and increase of serum BIL. Upon stratification according to the degree of cognitive impairment, lower UA concentrations were found in patients with severe cognitive impairment, whereas increased BIL was found in patients with moderate cognitive impairment. Patients with VD were characterized by hypoalbuminemia and upon stratification this finding was evident among patients with severe cognitive impairment. The MoCA score correlated positively with BIL in AD patients. The obtained data supports the protective role of serum antioxidants in the pathogenesis of dementia. Further on, we suggest further longitudinal research to confirm the combined use of these parameters as potential biomarkers in AD and VD.

Multiple imputation to quantify misclassification in observational studies of the cognitively impaired: an application for pain assessment in nursing home residents

Background Despite experimental evidence suggesting that pain sensitivity is not impaired by cognitive impairment, observational studies in nursing home residents have observed an inverse association between cognitive impairment and resident-reported or staff-assessed pain. Under the hypothesis that the inverse association may be partially attributable to differential misclassification due to recall and communication limitations, this study implemented a missing data approach to quantify the absolute magnitude of misclassification of pain, pain frequency, and pain intensity by level of cognitive impairment. Methods Using the 2016 Minimum Data Set 3.0, we conducted a cross-sectional study among newly admitted US nursing home residents. Pain presence, severity, and frequency is assessed via resident-reported measures. For residents unable to communicate their pain, nursing home staff document pain based on direct resident observation and record review. We estimate a counterfactual expected level of pain in the absence of cognitive impairment by multiply imputing modified pain indicators for which the values were retained for residents with no/mild cognitive impairment and set to missing for residents with moderate/severe cognitive impairment. Absolute differences (∆) in the presence and magnitude of pain were calculated as the difference between documented pain and the expected level of pain. Results The difference between observed and expected resident reported pain was greater in residents with severe cognitive impairment (∆ = -10.2%, 95% Confidence Interval (CI): -10.9% to -9.4%) than those with moderate cognitive impairment (∆ = -4.5%, 95% CI: -5.4% to -3.6%). For staff-assessed pain, the magnitude of apparent underreporting was similar between residents with moderate impairment (∆ = -7.2%, 95% CI: -8.3% to -6.0%) and residents with severe impairment (∆ = -7.2%, 95% CI: -8.0% to -6.3%). Pain characterized as “mild” had the highest magnitude of apparent underreporting. Conclusions In residents with moderate to severe cognitive impairment, documentation of any pain was lower than expected in the absence of cognitive impairment. This finding supports the hypothesis that an inverse association between pain and cognitive impairment may be explained by differential misclassification. This study highlights the need to develop analytic and/or procedural solutions to correct for recall/reporter bias resulting from cognitive impairment.

Predictors of Changes in Cognitive Function in Older Korean Adults: The 2006–2018 Korean Longitudinal Study of Aging

Cognitive decline with normal aging varies widely among individuals. This study aimed to investigate predictors of longitudinal changes in cognitive function in community-dwelling Korean adults aged 65 years and older. Data from 727 older adults who participated in the Korean Longitudinal Study of Aging (KLoSA) survey from 2006 (baseline) until 2018 (seventh wave) were used. Cognitive performance was assessed with the Korean Mini-Mental State Examination. The participants were retrospectively classified into normal cognition, mild cognitive impairment, and moderate/severe cognitive impairment. Education, income, religion, living area, alcohol intake, smoking, physical activity, handgrip strength, functional dependency, depression, comorbidity, medications, fall experience, and unintentional weight loss were included as covariates. A linear mixed regression analysis showed that a steeper decline in cognitive function over time was significantly associated with parameters of poor socio-economic status, health conditions, and unhealthy behaviors. Individuals with mild cognitive impairment or moderate/severe cognitive impairment were likely to have steeper cognitive declines compared with individuals with normal cognition. The current findings of the study showed that age-related cognitive decline was multifactorial in older Korean adults.

Sex characteristics of cognitive functions assessed by the MMSE and MoCA scores in patients with coronary artery disease

Aim. To study the sex characteristics of cognitive functions in a cohort of patients undergoing coronary artery bypass grafting (CABG) by comparing the results of Mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores.Material and methods. The prospective cohort study included 272 people, including 74 women aged 41 to 82 years, who were admitted to the Research Institute of Complex Issues of Cardiovascular Diseases for CABG surgery. All patients underwent clinical, laboratory, electrophysiological and ultrasound examinations. The Charlson comorbidity index (CCI) was calculated. Assessment of cognitive functions was carried out using the MMSE and MoCA scores. All types of statistical analysis were performed using the STATISTICA 10 program (StatSoft Inc., USA).Results. It was found that women scheduled for CABG have an older age and a higher CCI score compared to men (p=0,008). According to the MMSE, the likelihood of moderate and severe cognitive impairment in men compared with women was 1,36 times higher (odds ratio (OR), 1,35; 95% confidence interval (CI), 0,79-2,32, Z=1,11, p=0,27). The MoCA scores showed that half of the male (49%) and female (50%) participants had severe cognitive impairment. The likelihood of moderateand severe cognitive impairment in men compared with women was 1,33 times higher (OR, 1,33; 95% CI, 0,68-2,59, Z=0,841, p=0,40). According to subtests of the MoCA, men were better in naming (p=0,002), abstraction (p=0,005), and women outperformed men in verbal fluency (p=0,04). Regression analysis revealed that the most significant negative predictors for cognitive status as measured by the MMSE and MoCA scores for men and women were age and CCI.Conclusion. Women scheduled for CABG, having the worst clinical and demographic indicators, are comparable with men in cognitive status using the MMSE score. The MoCA score shows sex differences in naming, abstraction, and verbal fluency domains and revealed a higher percentage of severe cognitive disorders (up to 50%) compared to the MMSE score (7-9%). In male and female candidates for CABG, age and comorbidities are negatively associated with cognitive status.