Publications by authors named "R Montesinos"
Article Synopsis
- Blood-based biomarkers like p-tau217 are being studied for their effectiveness in diagnosing Alzheimer's disease (AD), but previous research has mainly focused on non-Hispanic White populations, leading to a knowledge gap across different ethnic backgrounds.
- A new study involving Peruvians, including mestizos and indigenous groups, examined plasma p-tau217 in 525 individuals, revealing significant associations between the biomarker and AD, especially in those with the APOE-e4 allele, although it did not distinguish between healthy controls and mild cognitive impairment (MCI).
- The results indicated that p-tau217 levels correlated well with cognitive performance and had an impressive classification performance (ROC-AUC of 82.82%), marking a significant contribution to understanding AD in diverse
Article Synopsis
- Healthcare providers in Peru feel unprepared to treat dementia patients and knowledge about dementia and Alzheimer's disease is generally low among them.
- A survey conducted in 2020 revealed that many professionals, including doctors and nurses, do not recognize Alzheimer's as a cause of dementia and still believe outdated concepts like "senile dementia" exist.
- The study found that knowledge tends to be higher among those with postgraduate training or more experience, especially in Lima, highlighting a need for improved education and awareness in healthcare settings.
Introduction: People caring for patients with dementia are prone to suffering from burden. Behavioral and psychological symptoms of dementia (BPSD) may have an impact on caregiver burden. In Latin American countries, there is a lack of research on caregiver burden.
View Article and Find Full Text PDFObjective: The performances of popular genome-wide association study (GWAS) models have not been examined yet in a consistent manner under the scenario of genetic admixture, which introduces several challenging aspects: heterogeneity of minor allele frequency (MAF), wide spectrum of case-control ratio, varying effect sizes, etc.
Methods: We generated a cohort of synthetic individuals (N = 19 234) that simulates (i) a large sample size; (ii) two-way admixture (Native American and European ancestry) and (iii) a binary phenotype. We then benchmarked three popular GWAS tools [generalized linear mixed model associated test (GMMAT), scalable and accurate implementation of generalized mixed model (SAIGE) and Tractor] by computing inflation factors and power calculations under different MAFs, case-control ratios, sample sizes and varying ancestry proportions.