Impact of influenza vaccination history in the clinical course of older adults hospitalized with COVID-19.

BACKGROUND AND PURPOSE: Some studies have shown that influenza vaccination is associated with a lower risk of SARS-CoV-2 infection; in patients with COVID-19 infection, admission to intensive care is reduced, with less need for mechanical ventilation, shorter hospital stays, and reduced mortality. This study aimed to determine if a history of annual influenza vaccination impacts the clinical course of SARS-CoV-2 infection during hospitalization. METHODS: This was an observational, prospective, cohort study of patients older than 65 admitted to the COVID-19 unit from January to June 2021. The history of influenza vaccination over the last 5 years was assessed in each patient during hospitalization. We measured the length of hospital stay, the need for admission to the intensive care unit (ICU), the patient's oxygen requirements, complications during hospitalization, and outcome (medical discharge or death). Patients with a history of vaccination against SARS-CoV-2 were not included. RESULTS: We analyzed 125 patients, 50.4% (n=63) with history of influenza vaccination and 49.6% (n=62) without a history of influenza vaccination. In-hospital mortality was 44.8%, higher in the unvaccinated (54.8%) population (p=0.008). ICU admission was 27% higher in vaccinated (35%) patients (p=0.05). Patients without a history of influenza vaccination had a higher prevalence of cardiac (8% vs. 5%, p=0.04) and renal complications (29% vs. 13%, p=0.02). Patients with a history of vaccination had a greater need for invasive mechanical ventilation (25.4%, p=0.02). CONCLUSION: In this study, a history of influenza vaccination in older adults with SARS-CoV-2 infection was related to lower in-hospital mortality.

Cognition in older adults with healthy aging: analysis of the Mexican Health and Aging Study 2012-2015.

Introduction: Maintaining older adults' health and well-being can be achieved through the optimization of physical and mental health, while preserving independence, social participation, and quality of life. Cognitive change has been described as a normal process of aging and it involves domains such as processing speed, attention, memory, language, visuospatial abilities, and executive functioning, among others. Objective: To describe cognitive changes in older adults with healthy aging. Methods: This is a study that involved data from 14,893 and 14,154 individuals aged >60 years or older from the 2012 and 2015 waves, respectively, who participated in the Mexican Health and Aging Study (MHAS). Participants with healthy aging were identified and described in the MHAS-2012 wave and followed to 2015. Eight cognitive domains evaluated in the Cross-Cultural Cognitive Evaluation (CCCE,) as well as sociodemographic and health characteristics, were described. Criteria for healthy aging involved the following: CCCE ≥ -1.5 standard deviations above the mean on reference norms, independence on basic and instrumental activities of daily living, self-reported "life close to ideal," and preserved functional and social performance. Results: From a total of n = 9,160 older adults from the MHAS-2012 wave, n = 1,080 (11.8%) had healthy aging. In the healthy aging group, the median age was 67 years (IQR: 63-73), 58.1% were female and the median for education was 6 (IQR: 3-8) years. The mean CCCE score was 57 (SD: 16.9) points. In the MHAS-2012 cross-sectional analysis, except for orientation, visuospatial abilities, and verbal fluency, all cognitive domain scores were lower with passing age. When comparing cognitive domain scores in the 225 older adults identified with healthy aging between the 2012 and 2015 MHAS waves, there were almost no observable differences. Conclusion: In the cross-sectional analysis, Mexican adults with healthy aging had lower scores in the verbal learning memory, visual scanning, numeracy, visual memory, and verbal recall domains', as well as lower global cognitive scores in the higher age groups. There were no cognitive changes in the 3 year follow-up, except for a lower gradient of scores in the verbal recall memory domain. Longer prospective studies are needed to characterize greater cognitive changes.

Validation of the Norma Latina Neuropsychological Assessment Battery in Patients with Alzheimer's Disease in Mexico.

To our knowledge, this is the first study reported in the literature that has validated the Norma Latina Battery in a population of people with Alzheimer's disease (AD) in Mexico. The objective of the study was to determine the discriminant validity of the Norma Latina Battery in a group of Mexican individuals with AD and a group of heathy controls (HC). The Norma Latina Battery was administered to 234 Mexican participants (117 HC and 117 individuals with AD). Results show that: (1) the Norma Latina Battery has high discriminative capacity between groups in all domains; (2) participants with AD presented worse scores in each of the cognitive domains compared to the HC and a greater number of low scores in each of the established thresholds or cut-off points; and finally, (3) the Norma Latina Battery had optimal sensitivity and specificity, especially when a set was observed ≥5 scores below the 10th percentile or ≥4 scores below the 5th percentile. In conclusion, it is recommended that both clinicians and researchers use this battery in the evaluation of Mexican people with AD to better understand the prognosis of the disease and its subsequent treatment.

Prescripción potencialmente inapropiada y polifarmacia en adultos mayores con demencia moderada y severa / Potentially inappropriate prescription and polypharmacy in older adults with dementia moderate and severe

Objetivo: Determinar la prevalencia de polifarmacia y prescripciones potencialmente inapropiadas (PPI) en pacientes mayores con demencia moderada y grave. Material y métodos: Este estudio retrospectivo transversal incluyó 180 pacientes diagnosticados con demencia durante junio de 2018 a abril de 2019. Se analizaron variables demográficas, comorbilidades, tipo de demencia, número de fármacos prescritos y la prevalencia de prescripción inadecuada. Resultados: La edad media fue 80,5 (±7,4) años. La demencia más frecuente fue Alzheimer (50%). 150 (83%) y 90 (50%) pacientes fueron detectados con polifarmacia y PPI, respectivamente. Las PPI más frecuentes fueron: fármacos que afectan la probabilidad de caída (22%), el sistema nervioso central y cardiovascular (14%). El riesgo de PPI fue 2,29 veces mayor en aquellos con polifarmacia. Discusión: En pacientes con demencia moderada y severa la polifarmacia aumenta el riesgo de PPI, siendo ambas altamente prevalentes. Revisar constantemente la medicación en esta población es necesario para reducir los riesgos a la salud (AU)

Objective: To determine the prevalence of polypharmacy and potentially inappropriate prescriptions (PIP) in older patients with moderate and severe dementia. Methods: This retrospective, cross-sectional study included 180 patients diagnosed with dementia during June 2018 to April 2019. We analyzed demographic variables, comorbidities, type of dementia, number of drugs prescribed and the prevalence of inadequate prescription. Results: Mean age was 80.5 (±7.4) years. Alzheimer's disease was the most frequent dementia (50%). 150 (83%) and 90 (50%) patients were detected with polypharmacy and PIP, respectively. The most frequent PIP were about drugs that affect individual’s probability of falling (22%), the central nervous system and the cardiovascular system (14%). The risk of PIP was 2,29 times higher in those with polypharmacy. Discussion: Polypharmacy and PPI are highly prevalent in older adults with moderate and severe dementia. Polypharmacy increases the risk of PIP. A continuous evaluation of the medication in this population is necessary to reduce the risk of adverse events (AU)

Detection of Brief Episodes of Atrial Fibrillation Based on Electrocardiomatrix and Convolutional Neural Network.

Background: Brief episodes of atrial fibrillation (AF) may evolve into longer AF episodes increasing the chances of thrombus formation, stroke, and death. Classical methods for AF detection investigate rhythm irregularity or P-wave absence in the ECG, while deep learning approaches profit from the availability of annotated ECG databases to learn discriminatory features linked to different diagnosis. However, some deep learning approaches do not provide analysis of the features used for classification. This paper introduces a convolutional neural network (CNN) approach for automatic detection of brief AF episodes based on electrocardiomatrix-images (ECM-images) aiming to link deep learning to features with clinical meaning. Materials and Methods: The CNN is trained using two databases: the Long-Term Atrial Fibrillation and the MIT-BIH Normal Sinus Rhythm, and tested on three databases: the MIT-BIH Atrial Fibrillation, the MIT-BIH Arrhythmia, and the Monzino-AF. Detection of AF is done using a sliding window of 10 beats plus 3 s. Performance is quantified using both standard classification metrics and the EC57 standard for arrhythmia detection. Layer-wise relevance propagation analysis was applied to link the decisions made by the CNN to clinical characteristics in the ECG. Results: For all three testing databases, episode sensitivity was greater than 80.22, 89.66, and 97.45% for AF episodes shorter than 15, 30 s, and for all episodes, respectively. Conclusions: Rhythm and morphological characteristics of the electrocardiogram can be learned by a CNN from ECM-images for the detection of brief episodes of AF.

Azadirachta indica Leaf Extract as Green Corrosion Inhibitor for Reinforced Concrete Structures: Corrosion Effectiveness against Commercial Corrosion Inhibitors and Concrete Integrity.

The construction industry has extensively demanded novel green inhibition strategies for the conservation and protection of carbon steel-reinforced concrete structures. For the first time, the effect of Azadirachta indica leaf extract (Neem) as a potential corrosion inhibitor of carbon steel in reinforced concrete under corrosion in saline simulated media was evaluated. To assess the corrosion inhibition behavior of the Neem natural organic extract, three inorganic commercial inhibitors were tested to compare following the criteria established by Stratful for half-cell potential under a simulated chloride environment. Moreover, the effect of concrete integrity by the Neem treatment was recorded after different temperature conditions, slump, weight alteration, air content, compressive strength, and chloride-ions penetration. The results suggested that the Neem treatments did not alter the concrete integrity and the physicochemical parameters. We reached a promoted long-term corrosion protection of 95% after 182 days of evaluation. Thus far, our current results open up a new promising "green" road to the conservation of carbon steel in reinforced concrete for the construction industry.

Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach.

The deconvolution process is a key step for quantitative evaluation of fluorescence lifetime imaging microscopy (FLIM) samples. By this process, the fluorescence impulse responses (FluoIRs) of the sample are decoupled from the instrument response (InstR). In blind deconvolution estimation (BDE), the FluoIRs and InstR are jointly extracted from a dataset with minimal a priori information. In this work, two BDE algorithms are introduced based on linear combinations of multi-exponential functions to model each FluoIR in the sample. For both schemes, the InstR is assumed with a free-form and a sparse structure. The local perspective of the BDE methodology assumes that the characteristic parameters of the exponential functions (time constants and scaling coefficients) are estimated based on a single spatial point of the dataset. On the other hand, the same exponential functions are used in the whole dataset in the global perspective, and just the scaling coefficients are updated for each spatial point. A least squares formulation is considered for both BDE algorithms. To overcome the nonlinear interaction in the decision variables, an alternating least squares (ALS) methodology iteratively solves both estimation problems based on non-negative and constrained optimizations. The validation stage considered first synthetic datasets at different noise types and levels, and a comparison with the standard deconvolution techniques with a multi-exponential model for FLIM measurements, as well as, with two BDE methodologies in the state of the art: Laguerre basis, and exponentials library. For the experimental evaluation, fluorescent dyes and oral tissue samples were considered. Our results show that local and global perspectives are consistent with the standard deconvolution techniques, and they reached the fastest convergence responses among the BDE algorithms with the best compromise in FluoIRs and InstR estimation errors.

A randomized placebo-controlled trial evaluating the effect of melatonin on sleep quality in patients with mild-moderate dementia.

BACKGROUND: Patients with dementia may suffer from poor sleep quality as well as insomnia and sleep-wake cycle alterations. OBJECTIVES: The main objective of this study was to evaluate the efficacy of melatonin in improving sleep quality. METHODS: This was a single-center randomized, double-blinded, placebo-controlled study carried out on outpatients with dementia and sleep alterations (according to Diagnostic and Statistical Manual V criteria) from January 2016 to December 2016. Patients aged 65 years or over with a diagnosis of mild-moderate dementia (Clinical Dementia Rating 1-2) were included. Patients were randomized to receive either 5 mg of melatonin or placebo every night for 8 weeks. The primary outcome was sleep quality according to the Pittsburgh Sleep Quality Index (PSQI). Secondary measurements included Mini-Mental State Examination, Neuropsychiatric Inventory (NPI), Geriatric Depression Scale and Katz and Lawton scales for functionality. RESULTS: 40 patients were included (21 in the melatonin group and 19 in the placebo group). Nine patients withdrew from the study, and data of 31 patients were analyzed (16 from the melatonin group and 15 in the placebo group). Baseline characteristics of the population were comparable. PSQI scores improved in both groups at every timepoint compared to baseline, but there were no significant differences between groups. At 8 weeks, there was no difference between groups in any of the secondary outcomes except for the sleep sub-item of the NPI, where melatonin group had lower median scores compared to placebo (1, Interquartile Range = 3, vs. 4.4, Interquartile Range = 4.6, p = 0.03). CONCLUSION: Melatonin administered nightly to older persons with dementia was not effective in improving sleep quality. Clinicaltrials.gov Identifier: NCT03066518.

[Epidemiology of dermatosis in geriatric patients]. / Epidemiología de la dermatosis en pacientes geriátricos.

OBJECTIVE: To describe and compare the skin diseases in elderly attended at the geriatric service with those attended at the dermatology service. METHODS: The study was carried out on 100 elderly patients attended at the geriatrics service of nonskin disease and 100 elderly patients attended at the dermatology service. The sampling was of consecutive cases. Skin phototype and photo-aging were determined. The type and frequency of the dermatosis were described. RESULTS: All the patients presented at least one dermatosis with an average of five lesions. There was no difference between the main dermatologic causes for consultation in either service. The most frequent phototype was type IV, and when it was correlated with the degree of photo damage measured with the Glogau scale, it was type III. In relation to dermatoses that require treatment we found: actinic keratitis, onychatrophia, xerosis, prurigo and vasculocutaneous complex. The most frequent dermatose found on physical exam were: solar lentigos, seborrheic keratitis, Favre-Racouchot disease, cherry angiomas, guttata hypomelanosis. CONCLUSIONS: Elderly patients attended at the geriatric and dermatology services presented similar skin diseases.

Cross-sectional observations of thyroid function in geriatric Mexican outpatients with and without dementia.

UNLABELLED: This work was aimed at determining and comparing the frequency of abnormal levels of thyroid stimulating hormone (TSH) in geriatric outpatients with and without dementia. This cross-sectional study enrolled patients, aged 60 years and older with or without dementia (established on the basis of DSM-IV-R), from geriatric outpatient unit with third level of medical care. Comparisons were between 33 (34%) patients without dementia versus 26 (58%) with dementia; both among 142 (24%) randomly selected sample (RSS) from unit's register; and the 101 (89%) in the memory-clinic case series (MCCS) of dementia were contrasted with the former. MEASUREMENTS: TSH, total/free thyroxine, mini-mental-state examination (MMSE), geriatric depression scale (GDS), Hachinski ischemic-score (HIS), and clinical data from the patients' charts. In the above order, high TSH was found in 9 (27.3%, confidence interval (CI)=12.1-42.5%), 6 (23.1%, CI=6.9-46.5%), and 30 (29.7%, CI=20.8-38.6%), respectively. Low-normal free thyroxine levels accompanied 76% of individuals with elevated TSH; in contrast of Gaussian distribution of free thyroxine in those with TSH in normal range. In conclusion, the high frequency found of hypothyroidism in patients with and without dementia warrants further studies. Treatment is only being recommended for patients with below range thyroxin levels; while treatment of subclinical hypothyroidism in the presence of cognitive decline will be addressed in the forthcoming studies.

Índice de Hachinski e imagen cerebral en el estudio ambulatorio de la demencia en ancianos / The Hachinski Index and brain imaging in ambulatory study of dementia in the elderly

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