Petersen Criteria Research Articles

Searching for genetic determinants for left ventricular non-compaction.

Left ventricular non-compaction (LVNC) is still a pathology around which there are numerous controversies regarding the criteria for its diagnosis, presentation, prognosis, and even classification into the appropriate group of diseases. So far, about 190 genes in which mutations may be associated with LVNC have been described, and in each of them, several to several dozen different loci have been discovered. We decided to analyze the frequency of single nucleotide variants (SNVs) in correlation to Petersen's criteria. We retrospectively analyzed the results of cardiac magnetic resonance (CMR) studies. Twenty-three patients who met Petersen's criteria agreed to participate in the research and take blood samples for genetic testing. Next, we prospectively included 24 volunteers who did not meet Petersen's criteria. Petersen's criteria were complied with ratio of non-compacted to compacted myocardium (NC/C) ≥2.3. A total of 47 DNA samples were analyzed based on the selected regions of the following genes: β-myosin heavy chain (MYH7), α-cardiac actin (ACTC1), cardiac troponin T (TNNT2), myosin binding protein-C (MYBPC3), LIM-domain binding protein 3 (LBD3), and taffazin (TAZ). In total, 248 substitutions in exons and introns were obtained for all analyzed samples. No statistically significant differences were detected between the mentioned groups. No significant difference in either downward or upward trends in the number of substitutions in relation to the increasing trabeculation is observed. We indicated differences in the occurrence of the studied SNVs between groups, especially for rs8037241 (3'UTR region of ACTC1) and rs2675686 (LDB3), but they also did not show statistical significance. Although we did not find a significant correlation between the co-occurrence of individual mutations with LVNC, it is worth noting that the presence of one of the four mutations in the range rs8037241 (ACTC1 3'UTR), rs3729998 (TNNT2e. 12), and rs727503240 (MYH7e. 39) increases the risk of LVNC more than 4 times. An inverse association between the number of SNVs and the meeting the Petersen's criteria was demonstrated for studied LDB3 region and rs397516254 in exon 39 of the MYH7 gene. To our knowledge, no studies have been published comparing the prevalence of selected SNVs in a group of healthy subjects and in a group meeting the Petersen criteria for LVNC. Among both completely healthy individuals who did not meet the Petersen criteria for LVNC as well as those with symptoms who met these criteria we found a similar incidence of SNVs in the ACTC1, TNNT2, LDB3 and MYH7 genes segments analyzed. Further studies are required to confirm or exclude "potentially protective" SNV in the 39th exon of MYH7 (rs397516254) and the role of co-occurrence of individual SNVs in rs8037241 (ACTC1 3'UTR), rs3729998 (TNNT2), and rs727503240 (MYH7) for the increase of the risk of LVNC.

Prevalence of Mild and Severe Cognitive Impairment in World Trade Center Exposed Fire Department of the City of New York (FDNY) and General Emergency Responders.

The emergency personnel who responded to the World Trade Center (WTC) attacks endured severe occupational exposures, yet the prevalence of cognitive impairment remains unknown among WTC-exposed-FDNY-responders. The present study screened for mild and severe cognitive impairment in WTC-exposed FDNY responders using objective tests, compared prevalence rates to a cohort of non-FDNY WTC-exposed responders, and descriptively to meta-analytic estimates of MCI from global, community, and clinical populations. A sample of WTC-exposed-FDNY responders (n = 343) was recruited to complete an extensive battery of cognitive, psychological, and physical tests. The prevalences of domain-specific impairments were estimated based on the results of norm-referenced tests, and the Montreal Cognitive Assessment (MoCA), Jak/Bondi criteria, Petersen criteria, and the National Institute on Aging and Alzheimer's Association (NIA-AA) criteria were used to diagnose MCI. NIA-AA criteria were also used to diagnose severe cognitive impairment. Generalized linear models were used to compare prevalence estimates of cognitive impairment to a large sample of WTC-exposed-non-FDNY responders from the General Responder Cohort (GRC; n = 7102) who completed the MoCA during a similar time frame. Among FDNY responders under 65 years, the unadjusted prevalence of MCI varied from 52.57% to 71.37% depending on the operational definition of MCI, apart from using a conservative cut-off applied to MoCA total scores (18 < MoCA < 23), which yielded a markedly lower crude prevalence (24.31%) compared to alternative criteria. The prevalence of MCI was higher among WTC-exposed-FDNY-responders, compared to WTC-exposed-non-FDNY-GRC-responders (adjusted RR = 1.53, 95% C.I. = [1.24, 1.88], p < .001) and meta-analytic estimates from different global, community, and clinical populations. Following NIA-AA diagnostic guidelines, 4.96% of WTC-exposed-FDNY-responders met the criteria for severe impairments (95% CI = [2.91% to 7.82%]), a prevalence that remained largely unchanged after excluding responders over the age of 65 years. There is a high prevalence of mild and severe cognitive impairment among WTC-responders highlighting the putative role of occupational/environmental and disaster-related exposures in the etiology of accelerated cognitive decline.

Association of Advanced Glycation End Products with Cognitive Function: HealthyDance Study.

The current research on advanced glycosylation end products (AGEs) and cognitive function is limited. We aimed to investigate the relationship between multiple plasma AGEs and cognitive function and mild cognitive impairment (MCI). Baseline data from The Lifestyle and Healthy Aging of Chinese Square Dancer Study was used in this cross-sectional study. Ultra-high-performance liquid chromatography tandem mass spectrometry was used to determine plasma levels of carboxymethyl lysine (CML), carboxyethyl lysine (CEL), and methyl imidazolinone (MG-H1). Four cognitive tests were used to obtain the four cognitive domain scores and the composite z scores. The Petersen criteria were used to diagnose MCI. The data were analyzed by multivariable linear and logistic regression models. This study included 1,018 participants (median age 61.0 years, 87.3% female). After multivariate adjustment, the βs of the highest quartile of CML and CEL compared to the lowest quartile were -0.28 (-0.38, -0.17) and -0.13 (-0.23, -0.03), respectively, for the composite z score. For the four cognitive domains, CML was negatively correlated with memory, attention, and executive function, and CEL was negatively associated with memory and language function. In addition, higher CML was associated with a higher odds of MCI. MG-H1 was not associated with cognitive function. High plasma AGE levels were correlated with poorer cognitive function, particularly CML and CEL, higher levels of CML were also associated with higher odds of MCI. To clarify the effects of different AGEs on cognitive function and the underlying mechanisms, further longitudinal and experimental studies are needed.

Association of the serum levels of saturated fatty acids and mild cognitive impairment: a cross-sectional study.

To investigate the association of serum saturated fatty acids (SFAs) and prevalent mild cognitive impairment (MCI) among middle-aged and elderly Chinese. A total of 607 Chinese adults aged at least 45 years were included in the baseline survey of The Lifestyle and Healthy Aging of Chinese Square Dancer Study. Serum concentrations of individual SFAs including 6 even-chain SFAs (C14:0, C16:0, C18:0, C20:0, C22:0, and C24:0) and 4 odd-chain SFAs (C15:0, C17:0, C21:0, and C23:0), were quantified by Gas chromatography system with a mass spectrometer. According to Petersen's criteria, prevalent MCI was diagnosed by neurologists through uniformed neuropsychological tests, including trail-making test-part B (TMT-B), auditory verbal learning test (AVLT), digit symbol substitution test (DSST), and verbal fluency test (VFT). The median age was 62 years with an interquartile range of 57.0 to 67.0 years, and 86 (14.17%) participants were living with MCI. Higher levels of either even-chain or odd-chain individual SFAs were associated with the higher odds of MCI, and their odds ratios (ORs) and 95% confidence intervals (95%CIs) were 2.054 (1.012 to 4.171) for C14:0, 2.246 (1.061 to 4.755) for C16:0, 2.789 (1.321 to 5.886) for C18:0, and 2.329 (1.136 to 4.778) for C15:0, and 2.761 (1.310 to 5.820) for C17:0, respectively. The serum concentration of SFAs was positively related to the odds of MCI in middle-aged and elderly adults. Determining the link between SFAs profiles and MCI may inform a better understanding of the potential role of saturated fat intake on cognitive function.

Association of objective sleep duration with cognition and brain aging biomarkers in older adults.

The neuropathological mechanisms underlying the association between sleep duration and mild cognitive impairment remain poorly understood. This population-based study included 2032 dementia-free people (age ≥ 60 years; 55.1% women) derived from participants in the Multimodal Interventions to Delay Dementia and Disability in Rural China; of these, data were available in 841 participants for Alzheimer's plasma biomarkers (e.g. amyloid-β, total tau and neurofilament light chain), 1044 for serum microvascular biomarkers (e.g. soluble adhesion molecules) and 834 for brain MRI biomarkers (e.g. whiter matter, grey matter, hippocampus, lacunes, enlarged perivascular spaces and white matter hyperintensity WMH). We used electrocardiogram-based cardiopulmonary coupling analysis to measure sleep duration, a neuropsychological test battery to assess cognitive function and the Petersen's criteria to define mild cognitive impairment. Data were analysed with multivariable logistic and general linear models. In the total sample (n = 2032), 510 participants were defined with mild cognitive impairment, including 438 with amnestic mild cognitive impairment and 72 with non-amnestic mild cognitive impairment. Long sleep duration (>8 versus 6-8 h) was significantly associated with increased likelihoods of mild cognitive impairment and non-amnestic mild cognitive impairment and lower scores in global cognition, verbal fluency, attention and executive function (Bonferroni-corrected P < 0.05). In the subsamples, long sleep duration was associated with higher plasma amyloid-β40 and total tau, a lower amyloid-β42/amyloid-β40 ratio and smaller grey matter volume (Bonferroni-corrected P < 0.05). Sleep duration was not significantly associated with serum-soluble adhesion molecules, white matter hyperintensity volume, global enlarged perivascular spaces and lacunes (P > 0.05). Alzheimer's and neurodegenerative pathologies may represent common pathways linking long sleep duration with mild cognitive impairment and low cognition in older adults.

Strategic Lacunes Associated With Mild Cognitive Impairment in Rural Chinese Older Adults: A Population-Based Study.

Lacunes are associated with cognitive impairment. We sought to identify strategic lacune locations associated with mild cognitive impairment (MCI) and subtypes of MCI among older adults, and further to examine the role of white matter hyperintensities and perivascular spaces in the association. This population-based cross-sectional study included 1230 dementia-free participants in the brain magnetic resonance imaging substudy (2018-2020) in MIND-China (Multimodal Interventions to Delay Dementia and Disability in Rural China). Lacunes were visually identified in frontal lobe, parieto-occipital lobe, temporal lobe, insula, basal ganglia, thalamus, cerebellum, and brainstem. MCI, amnestic MCI (aMCI), and nonamnestic MCI (naMCI) were defined following the Petersen's criteria. Data were analyzed using logistic regression models. Of the 1230 participants (age, ≥60 years; mean age, 69.40; SD, 4.30 years; 58.5% women), lacunes were detected in 357 people and MCI was defined in 286 individuals, including 243 with aMCI and 43 with naMCI. Lacunes in the supratentorial area, internal capsula, putamen/pallidum, and insula was significantly associated with increased odds ratio of MCI (multivariable-adjusted odds ratio ranged 1.40-3.21; P<0.05) and aMCI (multivariable-adjusted odds ratio ranged 1.46-3.36; P<0.05), whereas lacunes in the infratentorial area and brainstem were significantly associated with naMCI (multivariable-adjusted odds ratio ranged 2.68-3.46; P<0.01). Furthermore, the associations of lacunes in insula and internal capsula with MCI and aMCI, as well as the associations of lacunes in infratentorial area and brainstem with naMCI were present independent of white matter hyperintensities volume and perivascular spaces number. Lacunes in the internal capsula, putamen/pallidum, insula, and brainstem may represent the strategic lacunes that are independently associated with MCI, aMCI, or naMCI in Chinese older adults. URL: https://www.chictr.org.cn; Unique identifier: ChiCTR1800017758.

Predictive model for identifying mild cognitive impairment in patients with type 2 diabetes mellitus: A CHAID decision tree analysis.

As the population ages, mild cognitive impairment (MCI) and type 2 diabetes mellitus (T2DM) become common conditions that often coexist. Evidence has shown that MCI could lead to reduced treatment compliance, medication management, and self-care ability in T2DM patients. Therefore, early identification of those with increased risk of MCI is crucial from a preventive perspective. Given the growing utilization of decision trees in prediction of health-related outcomes, this study aimed to identify MCI in T2DM patients using the decision tree approach. This hospital-based case-control study was performed in the Endocrinology Department of Xiangya Hospital affiliated to Central South University between March 2021 and December 2022. MCI was defined based on the Petersen criteria. Demographic characteristics, lifestyle factors, and T2DM-related information were collected. The study sample was randomly divided into the training and validation sets in a 7:3 ratio. Univariate and multivariate analyses were performed, and a decision tree model was established using the chi-square automatic interaction detection (CHAID) algorithm to identify key predictor variables associated with MCI. The area under the curve (AUC) value was used to evaluate the performance of the established decision tree model, and the performance of multivariate regression model was also evaluated for comparison. A total of 1001 participants (705 in the training set and 296 in the validation set) were included in this study. The mean age of participants in the training and validation sets was 60.2 ± 10.3 and 60.4 ± 9.5 years, respectively. There were no significant differences in the characteristics between the training and validation sets (p>.05). The CHAID decision tree analysis identified six key predictor variables associated with MCI, including age, educational level, household income, regular physical activity, diabetic nephropathy, and diabetic retinopathy. The established decision tree model had 15 nodes composed of 4 layers, and age is the most significant predictor variable. It performed well (AUC=.75 [95% confidence interval (CI): .71-.78] and .67 [95% CI: .61-.74] in the training and validation sets, respectively), was internally validated, and had comparable predictive value compared to the multivariate logistic regression model (AUC=.76 [95% CI: .72-.80] and .69 [95% CI: .62-.75] in the training and validation sets, respectively). The established decision tree model based on age, educational level, household income, regular physical activity, diabetic nephropathy, and diabetic retinopathy performed well with comparable predictive value compared to the multivariate logistic regression model and was internally validated. Due to its superior classification accuracy and simple presentation as well as interpretation of collected data, the decision tree model is more recommended for the prediction of MCI in T2DM patients in clinical practice.

Distress Symptoms of Old Age and Mild Cognitive Impairment are Two Distinct Dimensions in Older Adults Without Major Depression.

Studies in old adults showed bidirectional interconnections between amnestic mild cognitive impairment (aMCI) and affective symptoms and that adverse childhood experiences (ACE) may affect both factors. Nevertheless, these associations may be confined to older adults with clinical depression. To delineate the relationship between clinical symptoms of aMCI and affective symptoms in older adults without major depression (MDD) or dysfunctions in activities of daily living (ADL). This case-control study recruited 61 participants with aMCI (diagnosed using Petersen's criteria) and 59 older adults without aMCI and excluded subjects with MDD and ADL dysfunctions. We uncovered 2 distinct dimensions, namely distress symptoms of old age (DSOA), comprising affective symptoms, perceived stress and neuroticism, and mild cognitive dysfunctions, comprising episodic memory test scores, the total Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. A large part of the variance (37.9%) in DSOA scores was explained by ACE, negative life events (health and financial problems), a subjective feeling of cognitive decline, and education (all positively). ACE and NLE have a highly significant impact on the DSOA score and are not associated with aMCI or its severity. Cluster analysis showed that the diagnosis of aMCI is overinclusive because some subjects with DSOA symptoms may be incorrectly classified as aMCI. The clinical impact is that clinicians should carefully screen older adults for DSOA after excluding MDD. DSOA might be misinterpreted as aMCI.

Critical Values of Daily Sedentary Time and Its Longitudinal Association with Mild Cognitive Impairment Considering APOE ε4: A Prospective Cohort Study.

Long sedentary time and physical inactivity are negatively related to cognition, but the cut-off value remains unclear, and apolipoprotein E polymorphism ε4 (APOE ε4) is a known genetic risk factor of mild cognitive impairment (MCI). To explore longitudinal association of sedentary time and MCI, and to identify a cutoff value that increases the risk of developing MCI, taking into account APOE ε4 stratification and its interactions. A prospective cohort study. Population-based study. We included 4932 older adults from Tianjin Elderly Nutrition and Cognition (TENC) cohort study recruited from March 2018 to June 2021 with 3.11 years of median follow-up time. The primary outcome was newly diagnosed MCI, which was diagnosed by a modified version of the Petersen's criteria. The information of sedentary time (hours/day) and physical activity (MET-h/week) were obtained by questionnaire. Cox proportional hazard regression models and restricted spline curve were conducted. A total of 4932 participants were included (mean [SD] age, 67.85 [4.96] years; 2627 female [53.3%] and 2305 male [46.7%]), 740 newly onset MCI patients were identified. Longer sedentary time was associated with higher risk of MCI for all participants (HR:1.069, 95%CI: 1.034, 1.105), especially in APOE ε4 non-carriers (HR:1.083, 95%CI: 1.045, 1.123) whether adjusted potential confounders. Sedentary time had synergistic interactions with APOE ε4 (β:1.503, 95%CI: 1.163, 1.942) and physical activities (β: 1.495, 95%CI: 1.210, 1.846). Restricted spline curve showed a cut-off value of 3.03 hours/day. Long sedentary time (≥3.03 hours/day) could increase MCI risk, especially in APOE ε4 non-carriers, people with higher PA, aged 65 and above.

Abnormalities of Rest-Activity and Light Exposure Rhythms Associated with Cognitive Function in Patients with Mild Cognitive Impairment (MCI).

We aimed to examine the difference in rest-activity rhythm (RAR) and light exposure rhythm (LER) between patients with mild cognitive impairment (MCI) and normal controls (NC), and to verify their relationships with cognitive functions. The neuropsychological battery was administered to participants above 50 years old. The MCI diagnosis was made according to Petersen's criteria. Ten patients with MCI (77.90 ± 6.95 years) and eight NC (74.75 ± 5.06 years) were studied. Actigraphy (Actiwatch 2; Philips Respironics) was recorded at home for 5 days. RAR and LER variables, including interdaily stability (IS), intradaily variability (IV) and relative amplitude, were calculated using nonparametric analyses. The associations between cognitive performance and RAR and LER variables were explored using generalized linear models. There were no significant differences in RAR or LER variables between MCI and NC. There was a significant main effect of RAR-IS on the Stroop Color and Word Test (SCWT), indicating a positive relationship between RAR stability and SCWT performance. There was a significant group by RAR-IS interaction on Trail Making Test-A, indicating a negative relationship in MCI compared to NC. There was a significant group by LER-IV interaction on the Boston Naming Test, indicating a positive relationship in MCI compared to NC. There was no disruption in RAR and LER in patients with MCI. Our study showed that circadian rhythm abnormality was associated with a decline in executive function. However, circadian rhythm abnormality was not associated with declines in processing speed and language function in patients with MCI, implying an altered pathophysiology compared to NC.

THE ASSOCIATION OF A NOVEL PHYSICAL ACTIVITY METRIC WITH COGNITION AND RISK OF DEMENTIA

Abstract Physical activity (PA) is associated with cognitive function and Alzheimer’s disease and related dementias (ADRD). Although associations between continuously measured PA and ADRD have been assessed, multiscale entropy (MSE), which quantifies dynamics of physiological systems over multiple time scales, has not been used to quantify daily activity rhythms in older adults by cognitive status. We examined the association of this novel metric of PA complexity with cognitive function, mild cognitive impairment (MCI), and dementia in participants of the Baltimore Longitudinal Study of Aging. A total of 615 older adults (mean age=73.9±11.3 years, 54.5% women) completed a 7-day wrist-worn accelerometer assessment between 2015-2019. Global cognitive function was measured using the Mini-Mental State Examination (MMSE). Mild cognitive impairment (MCI) or dementia was diagnosed based on Petersen criteria and Diagnostic and Statistical Manual of Mental Disorders, respectively. Unadjusted logistic regression models showed that participants in the lowest tertile of complexity had 2.31 times the odds of low MMSE score (≤26) compared to those in the highest tertile (odds ratio [OR]=2.31, 95% confidence interval [CI]=1.09-4.89). This association lost significance after adjusting for age, sex, race, and education years. The lowest tertile of complexity was also associated with 2.58 times the odds of MCI/dementia diagnosis, adjusting for demographics (OR=2.58, 95% CI=1.06-6.31). These results suggest that lower complexity of accelerometry-detected movement is associated with poorer cognitive function and greater risk of MCI/dementia. Future longitudinal studies are warranted to examine whether altered complexity of daily activity rhythms may act as a preclinical indicator of ADRD.

Prevalence mild cognitive impairment in mexican older adults in a third‐level hospital

AbstractBackgroundMild Cognitive Impairment (MCI) is a common condition among older adults that refers to cognitive deficits that are not derived from daily activities, this condition that can progress to dementia, therefore it deserves special attention since it is prevalent in populations of older adults and It can coexist with geriatric syndromes. we evaluated the epidemiological characteristics in an older population with mild cognitive impairment.MethodA descriptive and cross‐sectional study was carried out, evaluating adults 60 years of age or older, from a dementia clinic at a tertiary level hospital in Mexico. The analytical sample consisted of 700 older adults, from whom patients with Mild Cognitive Impairment were selected, using the Petersen criteria. Epidemiological variables were considered, as well as gait disturbance, geriatric syndromes, among others.ResultThe study found that of the total population of 700 patients, 275 participants were diagnosed with mild cognitive impairment, indicating an estimated overall prevalence of 39.42%. Among those with MCI, 54.1% were in the a‐MCI‐s subtype, 22.5% in the a‐MCI‐md subtype, 18.18% in the na‐MCI‐md subtype, and 5 .09% in the na‐MCI‐s subtype. The prevalence of MCI was higher in women (59.6%) and between 60 and 70 years (55.6%). 46.7% had basic education (&lt;6 years), of which 27.2% belonged to the a‐MCI‐s subtype. in patients with MCI, 28% presented depression, 48.3% gait disturbances. Pre‐frailty was present in 40% of patients. Sensory deprivation was found in 88.3% and polypharmacy in 49.1%. The marital status was predominantly married (61.8%) and 32.3% worked and in terms of comorbidities, a relationship with arterial hypertension (61%) was observed.ConclusionThis study suggests that mild cognitive impairment is common among the elderly population, especially women and people in their 60s and 70s. The a‐MCI‐s subtype was the most common. Mild cognitive impairment was also associated with various comorbidities and geriatric syndromes, including gait disorders, depression, pre‐frailty, sensory deprivation, polypharmacy, and association with arterial hypertension. These findings highlight the importance of identifying and managing mild cognitive impairment and its associated syndromes.

5 Cognitive Rehabilitation Using Teleneuropsychology. A Cohort Study in South America

Objective:The COVID-19 pandemic has affected the continuity of cognitive rehabilitation (CR) worldwide. However, the use of teleneuropsychology (TNP) to provide CR has contributed significantly to the continuity of treatment. The objective of this study was to measure the effects of CR via the TNP on cognition, neuropsychiatric symptoms, and memory strategies in a cohort of patients with Mild Cognitive Impairment (MCI).Participants and Methods:A sample of 60 patients (60% female; age: 72.4±6.96) with MCI according to Petersen criteria was randomly divided into two groups: 30 cases (treatment group) and 30 controls (waiting list group). Subjects were matched for age, sex, and MMSE or MoCA.The treatment group received ten weekly CR sessions of 45 minutes weekly. Pre-treatment (week 0) and post-treatment (week 10) measures were assessed for both groups. Different Linear Mixed Models were estimated to test treatment effect (CR vs. Controls) on each outcome of interest over Time (Pre/Post), controlling for Diagnosis, Age, Sex, and MMSE/MoCA performance.Results:A significant Group (Control/Treatment) x Time (pre/post) interaction revealed that the treatment group at 10 weeks had better scores in cognitive variables: memory (RAVLT learning trials p=0.030; RAVLT delayed recall p=0.029), phonological fluency(p=0.001), activities of daily living (FAQ p=0.001), satisfaction with memory performance (MMQ Satisfaction p=0.004) and use of memory strategies (MMQ Strategy p=0.00), and a significant reduction of affective symptomatology: depression (GDS p=0.00), neuropsychiatric symptoms (NPIQ p=0.045), Forgetfulness (EDO-10 p=0.00), Stress (DAS Stress p=0.00).Conclusions:This is the first study to test CR using teleNP in South America. Our results suggest that CR through teleNP is an effective intervention to improve performance on cognitive variables and reduce neuropsychiatric symptomatology compared to patients with MCI. These results have great significance in the context of the COVID-19 pandemic in South America, where teleNP is proving to be a valuable tool.

Exploring the Impact of Age of Onset of Mild Cognitive Impairment on the Profile of Cognitive and Psychiatric Symptoms.

The present study aims to explore the differences in the manifestation of cognitive decline and psychiatric symptoms across the different ages of MCI onset: early onset (EOMCI: <65 years old), middle onset (MOMCI: 65-75 years old), and late onset (LOMCI: >75 years old). It was hypothesized that individuals with EOMCI will preserve their cognitive functions to a greater extent as compared to individuals with LOMCI, even after adjusting the cognitive performance for age and education through the use of published Greek norms. The level of cognitive decline concerning MOMCI was evaluated for extracting more precise conclusions regarding the impact of the age of onset on the patterns of MCI symptomatology. The analyses of data were conducted in a Greek population of individuals with MCI, who were consecutive visitors of the Outpatient Memory Clinic of Nestor Alzheimer's Centre in Athens, Greece. The sample consisted of 297 participants who fulfilled the following inclusion criteria: MCI diagnosis based on Petersen's criteria, Greek mother language, and absence of a psychiatric history or chronic and incurable organic disease. The overall results support the presence of a cognitive advantage of the EOMCI group compared to the LOMCI group. In the MOMCI group, cognitive performance displayed a tendency to remain intermediate compared to the other two groups. Nonetheless, significant differences were observed when this group was compared with the LOMCI group. The current findings indicate that the age of onset should be taken under consideration in the neuropsychological assessment of individuals with MCI. The specific parameters could have implications in terms of prognosis as well as the design and implementation of tailored interventions.

Dietary Diversity and Mild Cognitive Impairment in Middle-Aged and Older Chinese People: A Cross-Sectional Study.

The evidence concerning dietary diversity and cognitive function remains insufficient. To investigate the association of dietary diversity score (DDS) with mild cognitive impairment (MCI) and cognitive performance in different domains. Data from The Lifestyle and Healthy Aging of Chinese Square Dancer Study was used in this study. DDS was constructed based on the intake frequencies of 9 food groups assessed by a validated food frequency questionnaire. MCI was diagnosed by Petersen's criteria. A neuropsychological test battery was used to assess the performance on cognitive domains, and test scores were standardized to Z scores. Multiple linear regression models and logistic regression models were used to estimate the β and odds ratios and their 95% CIs, respectively. Among 1,982 participants, the mean (SD) age was 63.37 (5.00) years, 1,778 (89.71%) were women, and 279 (14.08%) had MCI. Compared to the DDS quartile (0, 6], the multivariable-adjusted odds ratios (95% CI) were 0.74 (0.48, 1.15) for DDS quartile (6, 7], 0.65 (0.43, 0.97) for DDS quartile (7, 8], and 0.55 (0.37, 0.84) for DDS quartile (8, 9]. Furthermore, higher DDS was positively associated with better performance of cognitive domains, including global cognitive function (β= 0.20, 95% CI: 0.12, 0.30), episodic memory (β= 0.21, 95% CI: 0.07, 0.35), attention (β= 0.15, 95% CI: 0.03, 0.26), language fluency (β= 0.24, 95% CI: 0.10, 0.38), and executive function (β= - 0.24, 95% CI: - 0.38, - 0.10). This study indicated that higher DDS was associated with better cognitive function among middle-aged and older Chinese people.

Association of Unhealthy Lifestyle and Genetic Risk Factors With Mild Cognitive Impairment in Chinese Older Adults

Apolipoprotein E polymorphism ε4 (APOE ε4) and methylenetetrahydrofolate reductase (MTHFR) TT genotype are genetic risk factors of mild cognitive impairment (MCI), but whether this risk can be changed by modifiable lifestyle factors is unknown. To explore whether unhealthy lifestyle (unhealthy dietary intake, current smoking, nonlimited alcohol consumption, and irregular physical activities) is associated with a higher risk of age-related MCI considering genetic risk. This population-based cohort study used data from Tianjin Elderly Nutrition and Cognition (TENC) study participants, recruited from March 1, 2018, through June 30, 2021, and followed up until November 30, 2022. Participants were Chinese adults aged 60 years or older who completed the neuropsychological assessments, general physical examinations, and a personal interview. Healthy lifestyle was defined according to the Chinese Dietary Guidelines 2022, including healthy diet, regular physical activity, limited alcohol consumption, and no current smoking, categorized into healthy and unhealthy lifestyles according to weighted standardized lifestyle score. Genetic risk was defined by MTHFR TT genotype and APOE ε4, categorized into low and high genetic risk according to weighted standardized genetic risk score. The main outcome was newly diagnosed MCI as identified using a modified version of Petersen criteria. Hazard ratios (HRs) and 95% CIs were estimated using Cox proportional hazard regression models. A total of 4665 participants were included (mean [SD] age, 67.9 [4.9] years; 2546 female [54.6%] and 2119 male [45.4%]); 653 participants with new-onset MCI (mean [SD] age, 68.4 [5.4] years; 267 female [40.9%] and 386 male [59.1%]) were identified after a median follow-up of 3.11 years (range, 0.82-4.61 years). Individuals with a low genetic risk and an unhealthy lifestyle (HR, 3.01; 95% CI, 2.38-3.79), a high genetic risk and a healthy lifestyle (HR, 2.65; 95% CI, 2.03-3.44), and a high genetic risk and an unhealthy lifestyle (HR, 3.58; 95% CI, 2.73-4.69) had a higher risk of MCI compared with participants with a low genetic risk and a healthy lifestyle. There was a synergistic interaction between lifestyle categories and genetic risk (β = 3.58; 95% CI, 2.73-4.69). In this cohort study of TENC participants, the findings show that unhealthy lifestyle and high genetic risk were significantly associated with a higher risk of MCI among Chinese older adults. Unhealthy lifestyle factors were associated with a higher risk of MCI regardless of genetic risk, and lifestyle and genetic risk had synergistic interactions. These findings could contribute to the development of dietary guidelines and the prevention of early-stage dementia.

Relationship between Whole-Blood Magnesium and Cognitive Performance among Chinese Adults.

To explore the association between magnesium levels and the odds of mild cognitive impairment (MCI). In this cross-sectional study of 1006 participants (≥55 years) from China, whole-blood magnesium concentration was measured using inductively coupled plasma mass spectrometry. MCI was diagnosed according to Petersen criteria using self-reported cognitive decline and a neuropsychological test battery, including the trail-making test-part B (TMT-B), auditory verbal learning test (AVLT), digit symbol substitution test (DSST), and verbal fluency test (VFT), which measured the assessment of executive, memory, attention, and language functioning, respectively. A logistic regression was used to assess the relationship between magnesium levels and MCI, and linear regression analyses were performed for the association between magnesium and cognitive function score. The MCI group had a significantly lower concentration of magnesium compared to the Non-MCI group (34.7 ± 9.8 vs. 36.7 ± 9.7, p = 0.017). After adjusting for covariates, a negative association was observed between magnesium levels and MCI. Compared with the lowest quartile (median: 25.4 mg/L), the odds ratio for MCI was 0.53 (95%CI 0.32-0.90) for the highest quartile (median: 48.4 mg/L), and there was an inverse dose-response relationship (p for trend = 0.009). In addition, higher levels of magnesium were positively correlated with VFT scores (β = 0.37, 95%CI = 0.11-0.62) and DSST scores (β = 0.50, 95%CI = 0.01~0.98) and negatively correlated with TMT scores (β = -1.73, 95%CI = -3.40--0.07) in the middle-aged and older adults. Whole-blood magnesium was inversely associated with the occurrence of MCI and positively associated with performance in neuropsychological tests assessing attention, executive, and language ability in middle-aged and older adults.

APOEε4 genotype boosts neurodegenerative structural changes in medial temporal lobe areas in adults with Mild Cognitive Impairment

AbstractBackgroundApolipoprotein E ε4 allele (APOEε4) is considered the major genetic risk factor of Alzheimer´s Disease (AD). Structural magnetic resonance imaging (sMRI) studies demonstrated that, compared to APOEε4 non‐carriers, APOEε4 carriers display structural changes in lateral and medial temporal lobe (MTL). However, the knowledge about the impact of this genotype on hippocampal subfields is still limited. The present sMRI study aimed to evaluate volumetric and cortical thickness differences between adults with mild cognitive impairment (MCI) APOEε4 non‐carriers compared with MCI‐APOEε4 carriers.MethodTwelve MCI‐APOEε4 non‐carriers (mean age: 70.33 years, SD: 5.12) and ten MCI‐APOEε4 carriers (mean age: 72.70 years, SD: 6.38), diagnosed as MCI according Petersen criteria (Petersen, 2004; Albert et al., 2011), underwent neuropsychological assessment, cerebrospinal fluid, genetic and MRI examinations. MRI surface‐based morphometry analyses was conducted with the FreeSurfer software to evaluate volumetric and thickness differences in the hippocampal subfields and its surrounding MTL areas.ResultCompared with MCI‐APOEε4 non‐carriers, the MCI‐APOEε4 carriers group showed a significant reduced volume in several areas of the left hemisphere. Specifically, in this hemisphere volumetric changes were found in the entorhinal cortex, the whole hippocampus and in its head, body and tail; the head of presubiculum, the head and body of subiculum, the CA1, CA3, CA4 subfields, the granulate cell of the molecular layer of dentate gyrus and the molecular layer of the hippocampus. This group also displayed a significant reduced volume in the right body of CA3 subfield.ConclusionThese results suggest that, in MCI adults, the presence of the APOEε4 genotype may have an additional neuropathological impact on the structure of brain regions of the MTL with a critical functional role in episodic memory, the most affected neurocognitive system in Alzheimer’s disease (AD). Particularly, the left MTL would show higher vulnerability to neurodegenerative changes in the prodromal stage of AD.

Associations of Microvascular Dysfunction with Mild Cognitive Impairment and Cognitive Function Among Rural-Dwelling Older Adults in China.

Microvascular dysfunction (MVD) may contribute to cognitive impairment and Alzheimer's disease, but evidence is limited. To investigate the association of composite and organ-specific MVD burden with mild cognitive impairment (MCI) and cognition among rural-dwelling Chinese older adults. In this population-based cross-sectional study, we assessed MVD makers using optical coherence tomographic angiography for retinal microvasculature features, brain magnetic resonance imaging scans for cerebral small vessel disease (CSVD), and serum biomarkers for MVD. A composite MVD score was generated from the aforementioned organ-specific parameters. We used a neuropsychological test battery to assess memory, verbal fluency, attention, executive function, and global cognitive function. MCI, amnestic MCI (aMCI), and non-amnestic MCI (naMCI) were diagnosed following the Petersen's criteria. Data was analyzed with the linear and logistic regression models. Of the 274 dementia-free participants (age≥65 years), 56 were diagnosed with MCI, including 47 with aMCI and 9 with naMCI. A composite MVD score was statistically significantly associated with an odds ratio (OR) of 2.70 (95% confidence interval 1.12-6.53) for MCI and β-coefficient of -0.29 (-0.48--0.10) for global cognitive score after adjustment for socio-demographics, lifestyle factors, APOE genotype, the Geriatric Depression Scale score, serum inflammatory biomarkers, and cardiovascular comorbidity. A composite score of retinal microvascular morphology was associated with a multivariable-adjusted OR of 1.72 (1.09-2.73) for MCI and multivariable-adjusted β-coefficient of -0.11 (-0.22--0.01) for global cognitive score. A composite CSVD score was associated with a lower global cognitive score (β= -0.10; -0.17--0.02). Microvascular dysfunction, especially in the brain and retina, is associated with MCI and poor cognitive function among rural-dwelling older adults.

Left-ventricular non-compaction and ventricular arrhythmias

Abstract Funding Acknowledgements Type of funding sources: None. Background Left ventricular non-compaction (LVNC) is a rare, although underdiagnosed, cardiomyopathy deriving from the incomplete development of myocardial tissue. Its presentations range from heart failure to embolism and arrhythmic events with the latter being the most frequent cause of death. Purpose To define the incidence of arrhythmic complications in LVNC and describe the interplay between systolic dysfunction and ventricular events. Methods This is a retrospective evaluation of a prospectively-collected database including all consecutive patients with a definitive diagnosis of LVNC followed-up at the Cardiomyopathy Clinic of our institution from October 2009 to August 2022. We conducted a follow-up analyzing the possible correlation between baseline characteristics and a composite outcome of ventricular arrhythmias (sustained VT or VF), appropriate ICD interventions and sudden cardiac death (SCD). We also extracted a sample from our population with preserved LVEF and compared global longitudinal strain (GLS) in compacted and non-compacted segments. Results 44 patients (29 males, 65.9%) were enrolled in the study; 36 patients (81.8%) underwent a cardiac MRI and 34 (77.3%) resulted positive for Petersen criteria. 26 patients (59.1%) had positive echocardiographic criteria, while 18 patients (40.9%) were positive for both MRI and echocardiographic criteria. Five patients (11%) experienced an arrhythmic event during a median follow-up of 2 years (1 VT, 1 VF and 3 patients with appropriate ICD interventions). No clinical, ECG or lab predictors were found for arrhythmic events apart from a history of non-sustained or sustained ventricular arrhythmias, which was associated with a 36% increased risk of subsequent VT/VF episodes (RR 1.36; 95% CI 1.01-1.85; p=0.01). Notably, LVEF (which was ≤35% in 11% of the patients) was not able to significantly discriminate arrhythmic risk (50.7±13.0% vs. 50.2±7.8%; p=ns). Out of 9 patients with normal LVEF and normal GLS, the segmental LS resulted better in non-compacted cardiac segments vs. compacted ones (-20.0±4.6% vs. -17.5±4.9%; p=0.03). This was mainly due to an increase deformation of endocardial layers of non-compacted segments (-26.4±6.6% vs. -19.7±6.6%; p≤0.001), while epicardial layers were similar in compacted versus non-compacted segments. Conclusions LVNC represents a poorly understood condition where a mixture of genetic and molecular mechanisms create a fertile substrate for the origin of ventricular arrhythmias. Our population reflects this pattern by showing a high percentage (5.5%/year) of patients experiencing the composite outcome. GLS was higher in non-compacted segments due to an apparent hyperdeformation of endocardial layers. In our opinion, this evidence represents a valid resource and a useful weapon to distinguish LVNC from other differential diagnoses such as, for example, dilated cardiomyopathy.