Search Results (610)

Background/Objectives: Cognitive impairment in older adults has emerged as a growing public health concern, particularly in relation to COVID-19 infection and its associated neuropsychiatric symptoms. The identification of modifiable risk factors may contribute to the development of targeted preventive strategies. This study aimed to assess predictors of cognitive impairment in older adults with and without recent SARS-CoV-2 infection. Methods: A prospective cohort study was conducted from June 2023 to March 2024 at a tertiary hospital in western Mexico. Adults aged 65 years or older with confirmed SARS-CoV-2 infection within the previous six months, along with uninfected controls, were enrolled. Cognitive function (Mini-Mental State Examination), depression (PHQ-9), anxiety (Geriatric Anxiety Inventory), insomnia (Insomnia Severity Index), functional status (Katz Index and Lawton–Brody Scale), and laboratory markers were evaluated at baseline, three months, and six months. The primary outcome was cognitive impairment at six months. Independent predictors were identified using a multivariable generalized linear mixed-effects model. Results: Among the 111 participants, 20 (18.8%) developed cognitive impairment within six months. Low serum magnesium (adjusted risk ratio [aRR] 2.73; 95% CI 1.04–7.17; p = 0.041) and depression (aRR 5.57; 95% CI 1.88–16.48; p = 0.002) were independently associated with a higher risk. A significant synergistic among COVID-19, depression, and hypomagnesemia was observed (RR 44.30; 95% CI 9.52–206.21; p < 0.001), corresponding to the group with simultaneous presence of all three factors compared to the group with none. Conclusions: Depression and hypomagnesemia appear to be independent predictors of cognitive impairment in older adults with recent COVID-19 infection. These findings suggest potential targets for prevention and support the implementation of routine neuropsychiatric and biochemical assessments in this population. Full article

Background: Vascular dysfunction is increasingly recognized as a shared contributor to both cognitive impairment and late-life depression (LLD). However, the combined diagnostic value of cerebral hemodynamics, neuroimaging markers, and neuropsychological outcomes remains underexplored. This study aimed to investigate the associations be-tween transcranial Doppler (TCD) ultrasound parameters, cognitive performance, and depressive symptoms in older adults with mild cognitive impairment (MCI) and LLD. Importantly, we evaluated the integrative value of TCD-derived indices alongside MRI-confirmed white matter lesions (WMLs) and standardized neurocognitive and affective assessments. Methods: In this cross-sectional study, 96 older adults were enrolled including 78 cognitively unimpaired individuals and 18 with MCI. All participants underwent structured clinical, neuropsychological, and imaging evaluations including the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Geriatric Depression Scale (GDS-15), MRI-based Fazekas scoring of WMLs, and TCD ultrasonography of the middle cerebral artery. Hemodynamic variables included mean blood flow velocity (MBFV), end-diastolic velocity (EDV), pulsatility index (PI), and resistive index (RI). Logistic regression and receiver operating characteristic (ROC) analyses were used to identify independent predictors of MCI. Results: Participants with MCI showed significantly lower MBFV and EDV, and higher PI and RI (p < 0.05 for all) compared with cognitively unimpaired participants. In multivariate analysis, lower MBFV (OR = 0.64, p = 0.02) and EDV (OR = 0.70, p = 0.03), and higher PI (OR = 3.2, p < 0.01) and RI (OR = 1.9, p < 0.01) remained independently associated with MCI. ROC analysis revealed excellent discriminative performance for RI (AUC = 0.919) and MBFV (AUC = 0.879). Furthermore, PI correlated positively with depressive symptom severity, while RI was inversely related to the GDS-15 scores. Conclusions: Our findings underscore the diagnostic utility of TCD-derived hemodynamic parameters—particularly RI and MBFV—in identifying early vascular contributions to cognitive and affective dysfunction in older adults. The integration of TCD with MRI-confirmed WML assessment and standardized cognitive/mood measures represents a novel and clinically practical multi-modal approach for neurovascular profiling in aging populations. Full article

Background/Objectives: Cardiovascular diseases (CVDs) are frequently associated with psychiatric and cognitive comorbidities. These conditions have been shown to significantly impact quality of life and clinical outcomes. This study aims to evaluate the prevalence of anxiety, depression, and cognitive deficits in patients with CVD and to compare the results with existing evidence in the literature. Methods: A total of 74 patients were assessed using the following standardized screening tools: Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE), Beck Depression Inventory-II (BDI-II), and Beck Anxiety Inventory (BAI). A systematic review was then conducted to compare the findings with those reported in the literature. Results: Most previous studies using the MoCA reported an over 70% absence of cognitive impairment, whereas this study shows a balanced distribution between the absence of (32.4%) and mild (35%) or moderate (32%) impairment. Studies with the MMSE indicated high rates of absence of cognitive deficits (74–79%), but here, the rate of absence was lower (58%), with an increase in mild impairment (42%). Regarding depression, compared with studies showing only absence or moderate/severe forms, this study reveals a more balanced profile, with 57% without depression and with varying severity levels (22% mild, 19% moderate, and 3% severe). Finally, for anxiety, unlike previous asymmetric distributions, greater variability was observed, with 58% without anxiety and significant percentages of mild (26%), moderate (12%), and severe (4%) anxiety. Conclusions: The results highlight a significant and varied prevalence of anxiety, depression, and cognitive deficits, emphasizing the importance of a multidimensional assessment to improve clinical management and therapeutic outcomes. Full article

Background: Comprehensive Geriatric Assessment (CGA) is essential for evaluating older cancer patients, but significant gaps persist in both research and clinical practice. This study aimed (I) to identify the CGA elements that most influence anti-cancer treatment decisions in older patients and (II) to explore the predictive value of CGA components for mortality. Methods: This observational study included older patients with newly diagnosed, histologically confirmed solid or hematological cancers, recruited consecutively from 2003 to 2023. Participants were followed for four years. The data collected included CGA measures of functional (Activities of Daily Living-ADL), cognitive (Mini-Mental State Examination-MMSE), and emotional (Geriatric Depression Scale-GDS) domains. Patients were categorized into frail, vulnerable, or fit groups based on Balducci’s criteria. Statistical analyses included decision tree modeling and Cox regression to identify predictors of mortality. Results: A total of 7022 patients (3222 females) were included, with a mean age of 78.3 ± 12.9 years. The key CGA factors influencing treatment decisions were ADL (first step), cohabitation status (second step), and age (last step). After four years, 21.9% patients had died. Higher GDS scores (OR 1.04, 95% CI 1.01–1.07, p = 0.04) were independently associated with survival in men and living with family members (OR 1.67, 95% CI 1.35–2.07, p < 0.001) in women. Younger patients (<77 years) showed both MMSE and GDS as significant risk factors for mortality. Conclusions: Functional capacity, cohabitation status, and GDS scores are crucial for guiding treatment decisions and predicting mortality in older cancer patients, emphasizing the need for a multidimensional geriatric assessment. Full article

Background/Objectives: Cognitive dysfunction is frequently observed in chronic migraine (CM) patients, but the contributing medical and psychological factors remain unclear. This study investigated associations between the cognitive reserve and medical, psychological, and lifestyle factors in individuals with CM. Methods: A retrospective review was conducted at a tertiary referral center in Taiwan. Cognitive function was evaluated via the mini-mental state examination (MMSE), while anxiety and depression were evaluated via the Beck Anxiety and Depression Inventories. Clinical variables included monthly headache days, headache intensity (numerical rating scale), migraine-related disability, and use of preventive medications. Multivariable linear regression analyses were performed to identify independent predictors of the cognitive reserve after adjusting for relevant covariates. Results: Among 50 participants (86.0% women; mean age 42.48 ± 13.47 years), six (12.0%) exhibited objective cognitive impairment (MMSE < cutoff). After a covariate adjustment, higher headache intensity was significantly associated with a lower cognitive reserve in anxiety and depression models. Patients with objective cognitive impairment reported significantly higher levels of pain, anxiety, and depression. Conclusions: The headache intensity, anxiety, and depression were significantly linked to a lower cognitive reserve in CM patients. These findings highlight the importance of incorporating routine psychological and cognitive assessments in CM care and suggest potential targets for integrative treatment strategies. Full article

Hip fractures in elderly patients pose significant clinical challenges, confronting us with high morbidity and mortality rates. A comprehensive geriatric assessment plays an important role in determining prognosis as well as the indication for surgery. Aim: In this study, we aim to (1) assess frailty-based functional status in seniors with hip fractures, (2) evaluate geriatric assessment’s predictive value for postoperative recovery, and (3) analyze 1-year postoperative survival. Material and Methods: This prospective study included 60 senior patients admitted for hip fracture in the Orthopedics Department. Patients were examined using geriatric assessment instruments Mini Mental State Examination (MMSE), Geriatric Depression Scale (GDS), Mini Nutritional Assessment (MNA), and Frailty Groningen Indicator (GFI). We recorded the sex, marital status, number of comorbidities, and number of recommended drugs. Results: In total, 65% of patients were frail pre-surgery; the proportion increased post-surgery to 86.7%; (p = 0.005). Age greater than 80 years and unmarried marital status were associated with higher frailty risk (p = 0.04; p = 0.03). Preoperatively, important predictors of frailty were mild–moderate cognitive impairment (p = 0.017), mild–moderate depression (p = 0.01), and malnutrition (p = 0.04). Postoperatively, only mild–moderate cognitive impairment (p = 0.04) and mild–moderate depression (p = 0.01) proved to be important predictors of frailty. According to the ROC curve, good predictors of postoperative frailty were shown to be preoperative frailty and the degree of polypharmacy and comorbidity. Of all parameters predictive of postoperative frailty, only the number of medications reached statistical significance (p < 0.038). The study identified a 1-year all-cause mortality rate of 42.6% in elderly patients who underwent hip fracture surgery, with a significant association between mortality and preoperative MMSE, GDS, and MNA scores. Conclusions: Complex geriatric assessment of senior patients with hip fracture can stratify postoperative risk and predict 1-year mortality and postoperative functional recovery. Key predictors include cognitive status, depression, malnutrition, and comorbidities. Multidisciplinary care and standardized evaluation are essential for improving outcomes. Full article

Recent studies have demonstrated the high analytical and diagnostic performance of plasma p-tau217 using well-defined cohorts. We aimed to assess the analytical, diagnostic, and prognostic utility of plasma p-tau217 as a routine biomarker in symptomatic patients attending our memory clinic. We also sought to identify optimal cutoff points that align with cerebrospinal fluid (CSF) amyloid beta (Aβ) status. A total of 276 cognitively impaired patients were included, with 81 mild cognitive impairment (MCI) patients followed for a mean of 56 (±15.8) months to evaluate progression to Alzheimer’s disease (AD). CSF and blood biomarkers of AD were quantified using the Lumipulse G platform. Plasma p-tau217 levels showed strong correlations with CSF Aβ42/Aβ40 (r = −0.707), p-tau181/Aβ42 (r = 0.842), and p-tau181 (r = 0.728). Plasma p-tau217 levels were significantly higher in the A + T + group than in A − T +/− (p < 0.001) and outperformed other plasma markers in detecting CSF Aβ pathology (AUC 0.924).Additionally, p-tau217 moderated cognitive changes over time as measured by the Mini-mental state examination (MMSE) (F(2, 70) = 13.995, p < 0.001) and outperformed other plasma biomarkers in predicting progression from MCI to AD (AUC 0.876). Using a dual cutoff strategy, 72% of patients were classified with 94.9% concordance with CSF Aβ status. Plasma p-tau217 shows strong potential as a non-invasive, cost-effective diagnostic and prognostic tool in clinical settings. Full article

Depression and cognitive impairment frequently co-occur in older adults, but their temporal relationship remains unclear. While depression is often considered a risk factor for cognitive decline, evidence is mixed, particularly in individuals with mild cognitive impairment or early dementia (MCI/ED). This study analyzed longitudinal data from 1086 participants (M = 74.49, SD = 7.24) in the SMART4MD clinical trial, conducted in Spain and Sweden over 18 months, with assessments every six months. Cognitive impairment was measured using the Mini-Mental State Examination, and depression was assessed with the Geriatric Depression Scale-15. Findings revealed a concurrent association between depressive symptoms and cognitive impairment. In regression mixed analysis, depression levels predicted increased cognitive decline over time, but no evidence was found for cognitive impairment predicting future depression. These associations were confirmed using a bivariate latent growth curve model with cross-lagged paths, which revealed early but attenuating bidirectional effects between depression and cognition. These results highlight depression as a medium-term risk factor for cognitive decline, emphasizing the importance of addressing depressive symptoms to mitigate cognitive deterioration in MCI/ED populations. Full article

Background/Objectives: Neuropsychological assessment tools adapted for digital formats are crucial to expanding access and improving cognitive evaluation in post-stroke patients. This study aimed to examine the reliability, convergent validity, and criterion-related validity (concurrent and known-groups) of TRIACOG-Online, a computerized cognitive screening tool designed to assess multiple domains in post-stroke adults in person or remotely. Methods: 98 participants (47 neurologically healthy adults and 51 post-stroke patients) completed a sociodemographic questionnaire, the Mini-Mental State Examination—MMSE, G-38—Nonverbal Intelligence Test, and the TRIACOG-Online assessment. Evaluations were conducted in person, computer mediated. Results: TRIACOG-Online demonstrated high internal consistency (Cronbach’s α = 0.872; McDonald’s ω = 0.923). Statistically significant differences were found between groups in episodic memory, attention, executive functions, and numerical processing, with healthy individuals outperforming post-stroke participants. Effect sizes were medium to large in several domains, especially for visual memory. Validity evidence based on the relationship with external variables was supported by negative correlations with age and positive correlations with education and reading and writing habits, particularly in the clinical group. Educational level showed stronger associations with verbal memory and language, suggesting a protective role in post-stroke cognitive performance. TRIACOG-Online scores demonstrated evidence of convergent validity with MMSE and G-38. Conclusions: TRIACOG-Online shows strong psychometric properties for the cognitive assessment of post-stroke adults. Its computerized format represents a promising tool for clinical and research use in neuropsychology, especially for bedside applications. Full article

Objectives: To identify cognitive domains predictive of dynamic balance performance in older adults and inform targeted cognitive-motor interventions aimed at improving balance and reducing fall risk. Methods: This cross-sectional study used hierarchical multiple regression to analyze relationships between cognitive domains and dynamic balance among 62 community-dwelling older adults (≥65 years). Balance was assessed using the Y Balance Test (YBT) and Timed Up and Go Test (TUG), while cognitive function was measured using the Mini-Mental State Examination (global cognition), Stroop Test (inhibition), N-back Test (working memory), and Deary–Liewald Reaction Time Test (processing speed). Statistical analyses were conducted using SPSS, version 28, with significance set at p < 0.05. Results: Although all cognitive domains correlated with dynamic balance, regression analyses indicated that only global cognition and inhibition were significant predictors. Specifically, global cognition significantly predicted both TUG and YBT performance, whereas inhibition uniquely predicted YBT performance (all p < 0.05). Conclusions: Our findings suggest global cognition and inhibition are key cognitive predictors of dynamic balance in older adults. Assessing these domains could identify individuals at risk of impaired balance, facilitating the design of targeted, personalized cognitive-motor interventions. Future research should investigate cognitively enriched exercise programs, including digital therapeutics and wearable technologies, to effectively target these cognitive domains, enhance balance outcomes, and promote sustained physical activity adherence in aging populations. Full article

Background: Primary aldosteronism is characterized by elevated aldosterone levels, leading to adverse effects such as hypertension, hypokalaemia and increased risk for cardiovascular and cerebrovascular events. Aldosterone impacts the central nervous system by promoting vascular remodelling and oxidative stress, potentially impairing cognitive function. The presence of mineralocorticoid receptors in the hippocampus, a key region for cognition, further suggest a link between primary aldosteronism and cognitive dysfunction. This study aims to further explore the association between hyperaldosteronism and cognitive impairment. Methods: In this pilot study we examined 15 individuals with primary aldosteronism and arterial hypertension alongside 15 age- and sex-matched controls with essential hypertension, all free of previous cerebrovascular events. Clinical and archival laboratory data were obtained. Cognitive function was assessed using the Mini-Mental State Examination and Montreal Cognitive Assessment. Results: Participants with primary aldosteronism had higher blood pressure values, longer duration of hypertension, lower serum potassium levels and higher 24 h urine albumin excretion rate compared to controls. Comorbidities, other characteristics and laboratory values were comparable across the two groups. No differences were observed in Mini-Mental State Examination scores, but Montreal Cognitive Assessment scores were significantly lower in the primary aldosteronism group (25.1 ± 2.2 vs. 27.1 ± 2.2, p = 0.021). Trends of poorer performance in language and attention/executive function domains were noted in primary aldosteronism individuals, as well as a higher number of pathological Montreal Cognitive Assessment scores (7 vs. 3). No significant correlations were found between cognitive test results and aldosterone concentrations or blood pressure in primary aldosteronism group. However, importantly, multiple regression analysis showed that aldosterone levels have a significant impact on Montreal Cognitive Assessment test, independent of blood pressure or duration of hypertension. Conclusions: This study supports an association between hyperaldosteronism and cognitive dysfunction, underscoring the need for more active detection and targeted treatment of primary aldosteronism. These findings warrant further research in larger cohorts to better elucidate this relationship. Full article

Background/Objectives: Cognitive deficiency associated with chronic alcohol consumption in older people remains an under-investigated public health issue in Romania, particularly concerning rural–urban disparities and the impact of reversible hepatic dysfunction on cognitive performance. To evaluate cognitive function at hospital admission and discharge using the Mini-Mental State Examination (MMSE); to identify rural–urban disparities; and to analyze the relationship between hepatic markers and MMSE scores in older people with chronic alcohol consumption. Methods: This retrospective, single-center observational study was conducted on 152 patients aged ≥55 years, hospitalized between January 2021 and December 2023 at the “Elisabeta Doamna” Psychiatric Hospital, Galați. Demographic variables, MMSE scores (at admission and discharge), and hepatic parameters (AST, ALT, GGT, total bilirubin, and ammonia) were collected. Statistical analysis included descriptive statistics, chi-square tests for categorical variables, paired t-tests or ANOVA for MMSE scores, and Pearson correlations between MMSE and hepatic markers (α = 0.05). Results: At admission, 94% of patients had an MMSE score < 24. The mean MMSE score increased from 23.4 ± 4.1 to 25.0 ± 3.7 at discharge (Δ = +1.6; p < 0.001). Patients from rural areas (63.8% of the sample) had significantly lower MMSE scores at admission compared to urban patients (22.6 ± 3.9 vs. 24.8 ± 4.2; p = 0.02). However, no statistically significant difference was observed between rural and urban patients regarding cognitive improvement during hospitalization (p = 0.88), indicating that the initial gap persisted at discharge. GGT levels were inversely correlated with MMSE scores (r = −0.41; p < 0.001), suggesting a contribution of hepatic dysfunction to cognitive decline. Conclusions: Alcohol-related cognitive impairment is highly prevalent among older patients hospitalized for withdrawal, with partial reversibility observed through inpatient management. The observed rural disparities and the association between hepatic dysfunction and cognitive performance highlight the need of concurrent MMSE and hepatic screening, with prioritized interventions in rural settings. Prospective, multicenter studies are warranted to validate these findings and to identify additional prognostic biomarkers. Full article

Background: This study aimed to evaluate the impact of physical activity levels on selected biochemical markers (glucose, insulin, cholesterol, triglycerides, interleukin-6 [IL-6]), brain-derived neurotrophic factor (BDNF), cognitive functions, and additional macronutrient intake in postmenopausal women. Method: A total of 72 generally healthy women aged 55–73 from western Poland participated in the study. Physical activity levels were assessed using the International Physical Activity Questionnaire (IPAQ), resulting in two distinct groups: 56 women in the lower activity level group and 16 in the higher activity level group. We calculated body mass index (BMI), measured body composition and blood pressure, and conducted cognitive assessments, including the Mini-Mental State Examination (MMSE), motor and psychomotor skills tests, the Clock Drawing Test, and the Geriatric Depression Scale (GDS). Nutritional intake was evaluated using a detailed 3-day food record to analyze macronutrient consumption and total caloric intake. Results: A statistically significant difference in total blood cholesterol levels (p = 0.0277) was observed between the two groups, with the higher physical activity group showing elevated cholesterol levels. Although no other biochemical markers showed statistically significant differences, variations in BDNF, glucose, triglycerides, IL-6, and insulin levels were noted between groups. Moreover, correlations between these markers and cognitive performance, like motor and psychomotor speeds, varied depending on physical activity level. The analyzed dietary pattern of the studied group shows slight deviations from current nutritional recommendations. Conclusions: The findings suggest that physical activity level may influence certain biochemical markers and cognitive functions in postmenopausal women. While these results highlight the potential benefits of physical activity, further research is needed to clarify underlying mechanisms and to validate physical activity as an effective strategy for improving postmenopausal health. Full article

Background/Objectives: In the last decade, there has been a notable increase in the prevalence of cognitive decline among the elderly population. This phenomenon is further compounded by the concurrent rise in life expectancy, indicating a growing concern for the health and well-being of individuals in this demographic. Dementia has become a disease with a strong social impact, not exclusively limited to its health dimension. It is generally accepted that lifestyle factors and psychological attitudes toward life challenges may serve as protective mechanisms against pathological cognitive decline. The objective of this contribution is to evaluate the impact of lifestyle factors (e.g., physical activity, employment history, nutrition, technology use, etc.), stressors (e.g., illness, rare events, abandonments, home moving, etc.), and sociability (e.g., marriage, active friend network, children proximity, work relationships, etc.) at the onset of pathological cognitive frailty. Methods: In this study, a semi-structured interview was administered to 32 individuals over the age of 65 during their initial neuropsychological evaluation for suspected dementia. Results: Linear regressions with Mini Mental State Examination scores indicated that lifestyle and sociability factors offer a degree of protection against cognitive decline, while stressors were found to be unrelated to this phenomenon. Conclusions: The utilization of contemporary technologies, the possession of a driver’s license, and the maintenance of an active social network have been demonstrated to possess a high degree of predictive value with respect to cognitive reserve in the context of aging. Full article

Objective: To clarify the relationship between constipation and depressive symptoms among the elderly. Methods: This single-center, cross-sectional study was performed using baseline data obtained at the time of enrollment in the prospective cohort of the JUSTICE-TOKYO study. Participants underwent assessments including patient profiling, drug use history, the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale 15 (GDS-15), gastrointestinal-related quality of life (QOL), and the constipation scoring system (CSS). Geriatric depressive symptoms were evaluated based on GDS-15. We investigated correlations between GDS-15 scores and various abdominal symptoms and assessed risk factors for geriatric depressive symptoms using multiple regression analysis. Results: A total of 984 elderly participants (57% female, mean age 78.1 ± 6.1 year) were included. The GDS-15 scores were significantly correlated with body mass index (BMI) (r = −0.056) and MMSE (r = −0.092), reflex-related QOL (r = 0.253), pain-related QOL (r = 0.229), fullness-related QOL (r = 0.269), constipation-related QOL (r = 0.329), diarrhea-related QOL (r = 0.264), and CSS (r = 0.285) scores. Multiple regression analysis indicated that BMI (β = −0.069, p = 0.020) and MMSE (β = −0.074, p = 0.013), constipation-related QOL (β = 0.136, p = 0.002), reflex-related QOL (β = 0.126, p < 0.001), diarrhea-related QOL (β = 0.095, p = 0.006), and CSS (β = 0.098, p = 0.016) scores were significantly correlated with GDS-15 scores. Conclusions: Depressive symptoms among older individuals are associated with various abdominal symptoms, particularly constipation. However, the causality between depressive symptoms and constipation cannot be inferred due to the study’s cross-sectional design. Full article