Red blood cell distribution width to albumin ratio (RAR) is associated with low cognitive performance in American older adults: NHANES 2011–2014

BMC Geriatrics, Год журнала: 2025, Номер 25(1)

Опубликована: Март 7, 2025

The red blood cell distribution width to albumin ratio (RAR) is a novel comprehensive biomarker of inflammation and nutrition, which has emerged as reliable prognostic indicator for adverse outcomes mortality in patients with various diseases. However, the association between RAR low cognitive performance older adults remains unclear. This study aims investigate relationship among United States. study, retrospective analysis, included 2,765 participants aged 60 years from National Health Nutrition Examination Survey (NHANES) conducted 2011 2014. Low was assessed using word learning subset Consortium Establish Registry Alzheimer's Disease (CERAD), Digit Symbol Substitution Test (DSST), Animal Fluency (AFT). defined scores below lowest quartile each test. evaluated weighted multivariable logistic regression, restricted cubic splines (RCS), subgroup analyses. After adjusting all potential confounders, independently linearly positively associated both DSST AFT performance. Specifically, compared first RAR, those fourth had adjusted ORs (95% CIs) 1.81 (1.03, 3.20) 1.68 (1.05, 2.67) Subgroup analysis did not reveal significant interactions stratification variables. significantly Maintaining lower may be crucial strategy mitigating risk decline elderly population.

Язык: Английский

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Association Between Preoperative Anemia and Cognitive Function in a Large Cohort Study of Older Patients Undergoing Elective Surgery

Anesthesia & Analgesia, Год журнала: 2024, Номер unknown

Опубликована: Июль 5, 2024

The etiology of anemia has tremendous overlap with the disease states responsible for cognitive decline. We used data from a perioperative database older adults undergoing elective surgery anesthesia to (1) examine relationships among preoperative blood markers, screeners function, and chronic status; (2) relationship these factors operative outcomes. primary goal this study was investigate association between markers cognition measured by screener. Secondary goals were (ie, American Society Anesthesiologists [ASA] frailty), outcomes discharge disposition, 1-year mortality, number surgical complications, length hospital stay, intensive care unit [ICU] stay).

Язык: Английский

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SLEEP DISORDERS AND RISK OF ALZHEIMER'S DISEASE: A TWO-WAY ROAD

Ageing Research Reviews, Год журнала: 2024, Номер unknown, С. 102514 - 102514

Опубликована: Сен. 1, 2024

Язык: Английский

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Associations and Mediating Pathways Between Childhood Adversity and Risk of Dementia: A Cohort Study in the UK Biobank

The Journals of Gerontology Series A, Год журнала: 2024, Номер 79(8)

Опубликована: Май 9, 2024

While childhood adversity (CA) is known to be associated with multiple adverse outcomes, its link dementia an area limited exploration and inconsistent agreement. The study aimed examine the longitudinal associations of CA incident all-cause quantify potential mediating pathways. Data from UK Biobank. CA, encompassing neglect abuse, was evaluated retrospectively by online mental health questionnaire. Physical performance, psychological factors, lifestyles, biological indicators assessed at baseline were considered mediators. Incident defined International Classification Diseases, Tenth Revision codes obtained through self-reported medical conditions, primary care, hospital admission, death registrations. Cox proportional hazard models applied estimate associations. Mediation analyses conducted on mediators their contribution. This cohort comprised 150 152 nondemented individuals (mean [SD] age, 55.9 [7.7] years) (2006-2010). Compared who did not experience those exposed any exhibited a 30.0% higher risk (hazard ratio = 1.300, 95% confidence interval [CI]: 1.129-1.496). Each additional 15.5% (95% CI: 8.8%-22.5%, pfor trend < .001) increased risks. Depression, smoking, low grip strength explained 8.7%, 2.4%, 0.9% associations, respectively. Biomarkers involving inflammation, erythrocytes, liver, kidney function mediated 0.6%-1.4%. revealed detrimental effects identified some mediators, namely depression, strength, several targeted biomarkers. In addition calling more attention findings underscore importance interventions targeting modifiable in preventing dementia.

Язык: Английский

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Neuropathology-based approach reveals novel Alzheimer's Disease genes and highlights female-specific pathways and causal links to disrupted lipid metabolism: insights into a vicious cycle

Acta Neuropathologica Communications, Год журнала: 2025, Номер 13(1)

Опубликована: Янв. 4, 2025

Abstract Dementia refers to an umbrella phenotype of many different underlying pathologies with Alzheimer’s disease (AD) being the most common type. Neuropathological examination remains gold standard for accurate AD diagnosis, however, that we know about genetics is based on Genome-Wide Association Studies (GWAS) clinically defined AD. Such studies have identified multiple susceptibility variants a significant portion heritability unexplained and highlighting phenotypic genetic heterogeneity entity. Furthermore, despite women’s increased dementia, there lack sex-specific understanding background disorder. Here, aim tackle by specifically concentrating neuropathological features pursuing analysis. We bring together 14 genomic neuropathology datasets (6960 individuals) integrate our GWAS findings transcriptomic data aiming also identify biomarkers progression. uncover novel associations neuropathology, including BIN1 OPCML. Our analysis points role in women as well loci QRFPR SGCZ. Post-GWAS analyses illuminate functional biological mechanisms reveal differences. Finally, through PheWAS Mendelian Randomization analysis, causal links pointing disrupted lipid metabolism, impaired peripheral immune response liver dysfunction part vicious cycle fuels neurodegeneration.

Язык: Английский

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In Response

Anesthesia & Analgesia, Год журнала: 2025, Номер 140(2), С. e10 - e11

Опубликована: Янв. 10, 2025

Howell, Keith MD; Tighe, Patrick Price, Catherine C. PhD; Garvan, Cynthia PhD Author Information

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Machine learning models for dementia screening to classify brain amyloid positivity on positron emission tomography using blood markers and demographic characteristics: a retrospective observational study

Alzheimer s Research & Therapy, Год журнала: 2025, Номер 17(1)

Опубликована: Янв. 21, 2025

Abstract Background Intracerebral amyloid β (Aβ) accumulation is considered the initial observable event in pathological process of Alzheimer’s disease (AD). Efficient screening for pathology critical identifying patients early treatment. This study developed machine learning models to classify positron emission tomography (PET) Aβ-positivity participants with preclinical and prodromal AD using data accessible primary care physicians. Methods retrospective observational assessed classification performance combinations demographic characteristics, routine blood test results, cognitive scores PET learning. Participants mild impairment (MCI) or normal function who visited Oita University Hospital had participated USUKI met eligibility criteria were included. The endpoint was assessment presence absence intracerebral Aβ five (i.e., variables), each constructed three algorithms, resulting a total 15 patterns. L2-regularized logistic regression, kernel Support Vector Machine (SVM) Elastic Net algorithms used construct 34 pre-selected variables (12 11 results). Results Data from 262 records (260 unique participants) analyzed. mean (standard deviation [SD]) participant age 73.8 (7.8) years. Using receiver operating characteristic (ROC) area under curve (AUC) (SD) Model 0 (basic characteristics) 0.67 (0.01). Classification similar 1 characteristics Mini Mental State Examination [MMSE] subscores) 2 (demographic results) cross-validated ROC AUC 0.70 (0.01) both. 3 MMSE 4 (Model ApoE4 phenotype) showed improved 0.73 0.76 (0.01), respectively. In thyroid-stimulating hormone corpuscular volume tended be largest contributors classification. performances SVM algorithms. Conclusions this useful classifying physician visits. Trial registration UMIN Clinical Trials Registry (UMIN000051776, registered on 31/08/2023).

Язык: Английский

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Estimation of machine learning-based models to predict dementia risk in patients with atherosclerotic cardiovascular diseases: a UK Biobank study (Preprint)

JMIR Aging, Год журнала: 2025, Номер 8, С. e64148 - e64148

Опубликована: Янв. 21, 2025

Background The atherosclerotic cardiovascular disease (ASCVD) is associated with dementia. However, the risk factors of dementia in patients ASCVD remain unclear, necessitating development accurate prediction models. Objective aim study to develop a machine learning model for use predict using available clinical and sociodemographic data. Methods This prognostic included between 2006 2010, registration follow-up data ending on April 2023 based UK Biobank. We implemented data-driven strategy, identifying predictors from 316 variables developing incident dementia, Alzheimer disease, vascular within 5, 10, longer-term ASCVD. Results A total 29,561 were included, 1334 (4.51%) developed during median time 10.3 (IQR 7.6-12.4) years. best (UK Biobank model) was light gradient boosting machine, comprising 10 including age, complete pairs matching tasks, mean correctly identify matches, sphered cell volume, glucose levels, forced expiratory volume 1 second z score, C-reactive protein, vital capacity, engaging activities, age first had sexual intercourse. achieved following performance metrics all dementia: area under receiver operating characteristic curve: 0.866 (SD 0.027), accuracy: 0.883 0.010), sensitivity: 0.637 0.084), specificity: 0.914 0.012), precision: 0.479 0.031), F1-score: 0.546 0.043). Meanwhile, this well-calibrated (Kolmogorov-Smirnov test showed goodness-of-fit P value>.99) maintained robust across different temporal cohorts. Besides, beneficial potential practice decision curve analysis. Conclusions findings suggest that predictive modeling could inform clinicians about at

Язык: Английский

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Conditions for Nutritional Care of Elderly Individuals with Dementia and Their Caregivers: An Exploratory Study

Nutrients, Год журнала: 2025, Номер 17(6), С. 1007 - 1007

Опубликована: Март 13, 2025

Background/Objective: Although the context, personal conditions, and caregivers’ abilities influence nutrition of older people with dementia, adequate parameters are not always applied to identify these conditions. The aim this study was characterize nutritional care needs dementia their caregivers. Method: This descriptive exploratory conducted in Colombia. An intentional sample included 73 elderly individuals described participants’ characteristics GCPC-UN-D survey. Their conditions include medical history, objective tests, interviews. We used Edinburgh Scale evaluate feeding behavior QUALID tool quality life. measured caregiver competence using CUIDAR tool. Results: Adults 78.8 years on average, low middle socio-economic status, education levels, multiple comorbidities, have adverse well-being support except for spiritual component. These adults visible issues including muscle mass indices (47.9%), levels (arm 61.6%; calf 58.9%), vitamin D (50.7%), high cholesterol (57.9%) altered hematocrit red blood cell counts (46.4%). required supervision (41%) or help (23%) nutrition. Caregivers were predominantly women an average age 32.4 years, moderate caregiving competences (70.43%), experienced burden (83.6%), had orientation management (30.1%). Conclusions: Elderly significant problems. caregivers lacked ensure care. dyads need a strategy improve healthcare experience.

Язык: Английский

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Bayesian estimation of shared polygenicity identifies drug targets and repurposable medicines for human complex diseases

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Abstract Background Complex diseases may share portions of their polygenic architectures which can be leveraged to identify drug targets with low off-target potential or repurposable candidates. However, the literature lacks methods make these inferences at scale using publicly available data. Methods We introduce a Bayesian model estimate structure trait only gene-based association test statistics from GWAS summary data and returns gene-level posterior risk probabilities (PRPs). PRPs were used infer shared polygenicity between 496 pairs we measures that prioritize effects repurposing potential. Results Across 32 traits, estimated 69.5 97.5% disease-associated genes are multiple number druggable associated single disease ranged 1 (multiple sclerosis) 59 (schizophrenia). Estimating genetic architecture ALS all other traits identified KIT gene as potentially harmful target because its deleterious triglycerides, but also TBK1 SCN11B putatively safer non-association any 31 traits. additionally found 21 candidate repourposable for Alzheimer’s (AD) (e.g., PLEKHA1, PPIB ) 5 GAK, DGKQ ). Conclusions The sets have limited generally smaller compared pleiotropic targets, both represent promising directions future experimental studies.

Язык: Английский

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