Connections between Cognitive Impairment and Atrial Fibrillation in Patients with Diabetes Mellitus Type 2

Risk factors for mild cognitive impairment in type 2 diabetes mellitus older adult: a systematic review and meta-analysis

AIMS

Numerous of evidence suggest that older adults with diabetes are more likely to experience mild cognitive impairment (MCI), therefore identifying risk factors is crucial. Thus, the purpose of this study was to investigate the risk factors for the development of MCI in older diabetics.

METHODS

The MEDLINE, Web of Science, Scopus, and Embase databases were searched for pertinent research on the risk factors for the beginning of MCI. The remaining studies were assessed using predetermined inclusion and exclusion criteria after duplicate studies were eliminated. The Comprehensive Meta-Analysis software (version 2) was used to analyze the data. The Egger test was used to examine publication bias, while the I-square statistic was used to evaluate study heterogeneity. 95 % confidence limits and odds ratios were used in the analysis.

RESULTS

Thirty studies were authorized for assessment and statistical analysis using the systematic review procedure. These studies' findings indicate that, using both univariate and multivariate analyses, the odds ratio for the occurrence of MCI in older people with diabetes is higher for factors like low educational attainment (univariate analysis: OR = 0.706, CI95 %: 0.622-0.801, P ≤ 0.001 and multivariate analysis: OR = 0.753, CI95 %: 0.637-0.831, P = 0.001), duration of diabetes (univariate analysis: OR = 1.249, CI95 %: 1.111-1.405, P ≤ 0.001 and multivariate analysis: OR = 1.174, CI95 %: 1.006-1.370, P = 0.042), abnormal Hemoglobin A1c (HbA1C) levels (univariate analysis: OR = 1.744, CI95 %: 1.277-2.383, P ≤ 0.001 and multivariate analysis: OR = 1.248, CI95 %: 1.091-1.427, P ≤ 0.001), retinopathy(OR = 2.163, CI95 %: 1.686-2.776, P ≤ 0.001), nephropathy(OR = 1.568, CI95 %: 1.151-2.135, P = 0.004), neuropathy(OR = 1.334, CI95 %: 0.686-2.591, P = 0.396), depression(univariate analysis: OR = 1.649, CI95 %: 1.016-2.841, P = 0.046, and multivariate analysis: OR = 1.957, CI95 %: 1.322-2.856, P ≤ 0.001), and stroke(univariate analysis: OR = 1.820, CI95 %: 1.172-2.827, P = 0.008. multivariate analysis: OR = 1.496, CI95 %: 1.184-1.899, P = 0.001). Furthermore, univariate data analysis revealed that age(OR = 1.067, CI95 %: 1.011-1.126, P = 0.019), high total cholesterol(OR = 0.934, CI95 %: 0.866-1.008, P = 0.076), fasting blood sugar(OR = 1.129, CI95 %: 1.017-1.254, P = 0.023), the presence of hypertension(OR = 1.572, CI95 %: 1.147-2.155, P = 0.005), and kidney disease(OR = 1.676, CI95 %: 0.972-2.89, P = 0.063), all affect the odds ratio for the development of MCI in older adults with diabetes.

CONCLUSION

factors like low education, long-term diabetes, abnormal HbA1C levels, retinopathy, nephropathy, depression, and stroke, as well as high total cholesterol, fasting blood glucose, high blood pressure, and kidney disease, increase the risk of developing MCI in older diabetics. These cases in diabetic patients require special attention.

Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction-A Study Protocol

Acute ischemic stroke (AIS) is frequently associated with long-term post-stroke cognitive impairment (PSCI) and dementia. While the mechanisms behind PSCI are not fully understood, the brain and cognitive reserve concepts are topics of ongoing research exploring the ability of individuals to maintain intact cognitive performance despite ischemic injuries. Brain reserve refers to the brain's structural capacity to compensate for damage, with markers like hippocampal atrophy and white matter lesions indicating reduced reserve. Cognitive reserve involves the brain's ability to optimize performance and use alternative networks to maintain function. Advanced methods of MRI and EEG processing may better assess brain reserve and cognitive reserve, with emerging predictive models integrating these measures to improve PSCI prediction. This article provides the design of a hospital-based study investigating the predictive role of functional connectivity and MRI radiomics in assessing PSCI occurrence one year after AIS. One hundred forty-four patients will be enrolled following strict inclusion/exclusion criteria. The patients will undergo comprehensive assessments, including neuropsychological testing, brain MRI, and quantitative EEG (QEEG), across four visits over a year. The primary outcome will be PSCI occurrence, and it will be assessed at six and twelve months after AIS. Secondary outcomes will include PSCI severity, recurrent AIS, and mortality. Statistical analyses will be performed to identify predictive factors using Cox proportional hazards models, and predictive models based on QEEG, MRI radiomics, and clinical data will be built. Early detection of AIS patients prone to developing PSCI might outline more effective therapeutic approaches, reducing the social and economic burden of ischemic stroke.

Relationship Between Depression and Decreased Activity Level and Cognitive Impairment in Patients with Diabetes Mellitus Type 2 and/or Atrial Fibrillation

Background: The interdependence between type 2 diabetes mellitus (DM-2), atrial fibrillation (AF), and cognitive decline (CD)/dementia is a debated topic. In this study, we highlighted the influence of DM-2 and FA individually and in association on the severity of CD/dementia. Methods: This study comprises 248 patients with very high cardiovascular risk (VHCVR) according to Systematic Coronary Risk Evaluation (SCORE2), of whom 184 had DM-2 and/or AF, and 64 were age-matched controls (without DM-2/AF), admitted to the Municipal Hospital Timisoara. Results: Mini-Mental-State-Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living Score (ADL), and Instrumental Activities of Daily Living Score (IADL) were significantly decreased, and Geriatric Depression Scale (GDS-15) increased in patients with DM-2 and AF in comparison to controls (p < 0.05), with the subjects with DM-2 and AF having more severe CD compared to those with only one of these two pathologies. The logistic regression model showed that the risk of CD (MMSE < 27) or dementia (MMSE < 24) increased significantly in patients with DM-2 and/or AF depending on the SCORE2 values, ADL, and GDS-15. In DM-2 and/or AF patients, an increase of 1% in SCORE2 was associated with an elevation of 2.40% in the odds of CD and of 4.30% of dementia. In these patients, depression (GDS score) increased the risk of CD by 36.3%, and if ADL improved, the risk of CD decreased by 44.0%. Conclusions: Our findings suggest a direct association between CD, DM-2, and AF with SCORE2, cognitive parameters, ADL, and depression. In patients with DM-2 and/or AF, it is important to identify subclinical CD to prevent the evolution to dementia.

Impact of depression and cardiovascular risk factors on cognitive impairment in patients with atrial fibrillation: A Systematic review and meta-analysis

BACKGROUND

Atrial fibrillation (AF) is a common cardiac arrhythmia associated with significant cardiovascular morbidity and mortality, as well as cognitive impairment (CI). The interplay between AF and CI is complex, involving various pathophysiological changes and numerous risk factors. Among them, depression has emerged as a significant contributor to both AF and CI, further complicating the relationship between these conditions.

OBJECTIVES

This systematic review and meta-analysis aimed to investigate the influence of depression on the development of cognitive impairment in AF patients and assess the predictive value of the CHA2DS2-VASc score for CI risk.

METHODS

We searched PubMed, Scopus, and Web of Science for relevant studies without language or date restrictions. Ten studies, comprising 1,605,577 participants, were included. A random-effects model was used for meta-analysis, and heterogeneity was assessed using I2 statistics. Funnel plots and Egger's test evaluated publication bias.

RESULTS

Depression significantly increased the risk of CI in AF patients (OR: 2.23, 95 % CI: 1.54-3.21, p < 0.01; I2=99 %). This association persisted in studies excluding baseline CI (OR: 1.95, 95 % CI: 1.33-2.85, p < 0.01; I2=88 %). Subgroup analysis confirmed these results for both prospective (OR: 1.78, 95 % CI: 0.92-3.44, p = 0.02; I2=65 %) and retrospective studies (OR: 2.63, 95 % CI: 1.75-3.93, p < 0.01; I2=100 %). Analysis of CHA2DS2-VASc risk factors showed associations with CI, particularly cerebrovascular disease (OR: 1.86, 95 % CI: 1.61-2.16).

CONCLUSIONS

Our findings support the association between depression and cognitive impairment in AF patients, demonstrating the importance of addressing mental health in cardiovascular care. Future research is necessary for a comprehensive understanding of this association.

Neurocognitive impairment and its associated factors among patients with diabetes mellitus who have follow up at referral hospital in Northwest, Ethiopia

Background

Neurocognitive impairment is a condition that makes it difficult for a person to make decisions that affect memory, learning new things, concentration on daily activities, and can range from mild to severe forms. It is a major health problem, less known and less addressed complication of diabetes mellitus.

Objectives

The aim of the study is to assess prevalence of neurocognitive impairment and associated factors among diabetic mellitus patients.

Methods

We conducted an institutional-based cross-sectional study involving 512 diabetic patients under follow-up at XXX Specialized Hospital from March 1 to April 30, 2023. Data on cognition, behavior, and depression were collected using standardized tools, including the Mini Mental State Examination for cognition, the CAGE assessment tool for alcohol-related behavior, and the PHQ-9 for depression. These assessments were conducted through face-to-face interviews and chart reviews. A diagnosis of diabetes is confirmed in adults when fasting blood glucose levels exceed 126 mg/dl in three consecutive follow-up measurements. Data entry was performed using Epidata version 4.6, and analysis was conducted using SPSS version 26. Variables with a P-value < 0.25 in bivariate analysis were included in multivariable logistic regression. Statistical significance was set at P ≤ 0.05 with a 95% CI. Results were presented using tables, graphs, and descriptive text.

Results

The prevalence of neurocognitive impairment among diabetic patients at XXX Comprehensive Specialized Hospital was 28.3% [95% CI: 24.57-32.39]. Factors associated with this impairment included being female (AOR=2.29 [95% CI: 1.43-3.67]), rural residence (AOR=3.16 [95% CI: 2.01-4.95]), comorbidity (AOR=3.30 [95% CI: 2.08-5.23]), diabetes duration of 6-10 years (AOR=1.72 [95% CI: 1.01-2.94]), diabetes duration >10 years, and blood sugar level >126 mg/dl (AOR=2.25 [95% CI: 1.42-3.57]). Patients are encouraged to adhere to proper medication regimens to effectively control their blood glucose levels. This study found a high prevalence of neurocognitive impairment (NCI) among diabetic patients, affecting about one-fourth based on MMSE scores. Key risk factors identified include female gender, rural residence, comorbidities, longer duration of diabetes, and elevated blood glucose levels.

Factors Influencing the Development and Severity of Cognitive Decline in Patients with Chronic Heart Failure

Background and Objectives: Considering the increasing prevalence of chronic heart failure (CHF) and cognitive decline (CD) observed in recent decades and the complex interrelation between these two pathologies often encountered in the same patient, in this study, we aimed to highlight the connection between CHF, defined as recommended by the European Society of Cardiology guidelines, and CD, evaluated by employing five neuropsychological scales. Materials and Methods: Our study was conducted on 190 patients with very high cardiovascular risk profiles admitted between 5 September 2021 and 15 November 2023 in the Municipal Emergency Hospital Timisoara. Of these, 103 had CHF (group A) and 87 did not (group B). Results: Although similar concerning age, sex distribution, and risk factors (excepting lipid profile), patients from group A had lower Mini Mental State Evaluation (MMSE) and Montreal Cognitive Assessment (MoCA levels (p = 0.003, respectively, p = 0.017) scores, more reduced daily activity (p = 0.021), and more severe depression (p = 0.015) compared to group B. We documented statistically significant correlations between left-ventricular ejection fraction (LVEF) and the levels of N-terminal pro-B-type natriuretic peptide (NT-pro-BNP), as well as with the results of MMSE (r = 0.226, p = 0.002 and r = -0.275, p = 0.005, respectively), daily activity, and depression (p ˂ 0.001). Multi-logistic regression models indicated age, blood pressure values, decreased daily activity, and depression as risk factors for CD in patients with CHF. Conclusions: In patients with CHF, there is an increased propensity of CD, with a direct relationship between MMSE and LVEF levels and an indirect one between MMSE and NT-pro-BNP levels. The concomitance of depression and reduced activity levels are aggravating CD in these patients.

A Systematic Review of Resilience in At-Risk Youth for Psychotic Disorders: An Analysis of Protective and Risk Factors from Recent Literature

Psychotic disorders in youth pose significant challenges for mental health services, necessitating a detailed understanding of the interplay between risk factors and resilience. This systematic review aimed to assess how resilience factors might buffer the adverse effects of risk factors on the development of psychosis among youth, thereby informing targeted interventions. Studies were selected based on criteria including a focus on individuals aged up to 25 years old at risk for psychosis, the examination of both risk factors and resilience, and the use of validated instruments for measuring outcomes. Literature searches were conducted across several databases, such as PubMed, Scopus, and Web of Science. Data extraction emphasized odds ratios (ORs) and hazard ratios (HRs) for risk factors, including familial, developmental, and socio-environmental influences. The review included and analyzed nine studies, encompassing a diverse sample of 140,972 participants. Significant findings indicate that highly supportive familial and community environments significantly reduce the risk of psychosis onset. For instance, children with strong family support and engagement in structured activities demonstrated a 40% lower incidence of developing psychotic symptoms [p < 0.05]. Furthermore, the presence of neurobehavioral deficits, such as impaired verbal memory and attention, emerged as significant predictors of psychosis, with these children exhibiting a threefold increase in risk compared to their peers [OR = 3.2, 95% CI: 2.1-4.8, p < 0.01]. Resilience factors play a critical role in mitigating the impact of psychosocial and neurobiological risks in the development of psychosis among youths. Interventions enhancing resilience could potentially alter the trajectory of psychosis development, emphasizing the need for early and targeted psychosocial interventions to support at-risk populations. This study underscores the importance of fostering resilience through both individual-focused and community-based strategies to prevent the onset of psychotic disorders in vulnerable young populations.

Atrial fibrillation and prediabetes: A liaison that merits attention!

Atrial fibrillation (AF) and prediabetes share common pathophysiological mechanisms with endothelial dysfunction and inflammation playing a key role. The resultant vicious cycle which sets in culminates in a higher atherogenicity and thermogenicity of the vascular system resulting in increased major adverse cardiac or cerebrovascular event (MACCE) events. However, the same has not convincingly been verified in real-world settings. In the recent retrospective study by Desai et al amongst AF patients being admitted to hospitals following MACCE, prediabetes emerged as an independent risk factor for MACCE after adjusting for all confounding variables. However, certain questions like the role of metformin, quantifying the risk for MACCE amongst prediabetes compared to diabetes, the positive impact of reversion to normoglycemia remain unanswered. We provide our insights and give future directions for dedicated research in this area to clarify the exact relationship between the two.

Association between Cardiometabolic Index and Cognitive Function: A Cross-Sectional Study in a Diabetic-Based Population

INTRODUCTION

Diabetes is a significant risk factor for cognitive impairment. Therefore, early identification of cognitive impairment in diabetic patients is particularly important. The aim of this study was to assess the relationship between Cardiometabolic index (CMI) and cognitive function in a diabetic population.

METHODS

A cross-sectional study was conducted by collecting information from the National Health and Nutrition Examination Survey (NHANES) 2011-2014. Multiple linear regression models were used to investigate the correlation between CMI and low cognitive function in a diabetic population. Threshold effects analysis and fitted smoothing curves were used to describe the nonlinear links. Interaction tests and subgroup analyses were also performed.

RESULTS

A total of 1,050 people participated in this study, including 561 men and 489 women. In the fully corrected model, CMI was positively associated with low cognitive performance as assessed by CERAD Word List Learning Test (CERAD W-L), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST) (OR = 1.37 [1.14, 1.72], p = 7.4 × 10-3), (OR = 1.21 [1.04, 1.51], p = 1.26 × 10-2), and (OR = 1.27 [1.08, 1.63], p = 2.53 × 10-2). Our study found that diabetic patients with higher CMI were at greater risk of developing low cognitive function. The effect of the subgroups on the positive association of CMI with cognitive impairment was not significant. A non-linear association between low cognitive performance and CMI was determined by CERAD W-L, AFT, and DSST (log-likelihood ratio <5 × 10-2). In addition, our also study found that CMI was a better predictor of cognitive impairment in diabetes than weight-adjusted waist index (WWI).

CONCLUSION

Increased CMI is associated with an increased risk of cognitive impairment in people with diabetes. CMI can be used as a new anthropometric measure for predicting cognitive impairment in diabetes, with stronger predictive power than WWI.