Publications by authors named "G Huerta"

Background: Alzheimer's disease (AD) is a significant health concern affecting at least 10% of individuals aged 65 and older, with heightened risk in Black and Hispanic/Latino populations. Despite this prevalence, our analysis of University of California Los Angeles (UCLA) electronic health records (EHR) indicates that only 4% of patients aged 65 or older receive an AD diagnosis, with underdiagnosis more prevalent among Black and Hispanic/Latino patients compared to their white counterparts. To address this issue, we propose implementing a concise dementia screening tool (DST) in real-world clinical settings.

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Background And Objectives: The burden of dengue virus (DENV), a mosquito-borne pathogen, remains difficult to assess due to misdiagnosis and underreporting. Moreover, the large proportion of asymptomatic dengue cases impairs comprehensive assessment of its epidemiology even where effective surveillance systems are in place. We conducted a prospective community-based study to assess the incidence of symptomatic dengue cases in Zapopan and neighboring municipalities in the state of Jalisco, Mexico.

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Background: Advanced health assessment is a required course in advanced practice RN (APRN) education, essential to providing the foundation for differential diagnosis (DD) skills and the ability to formulate a plan of care.

Problem: Feedback from clinical preceptors revealed that our doctor of nursing practice (DNP) students struggled to make a DD.

Approach: This educational quality improvement project collected data from 7 cohorts of DNP students in either the Family Nurse Practitioner or Adult Gerontology Nurse Practitioner program to evaluate their readiness for clinical practicums and to inform necessary curriculum revisions.

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Purpose: Intravoxel incoherent motion (IVIM) analysis has attracted the interest of the clinical community due to its close relationship with microperfusion. Nevertheless, there is no clear reference protocol for its implementation; one of the questions being which b-value distribution to use. This study aimed to stress the importance of the sampling scheme and to show that an optimized b-value distribution decreases the variance associated with IVIM parameters in the brain with respect to a regular distribution in healthy volunteers.

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When honey bees () feed on flowers, they extend their proboscis to absorb the nectar, i.e. they perform the proboscis extension response (PER).

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