Comparison of Gas Treatments of High Oxygen, Carbon Monoxide, and Nitric Oxide on Ground Beef Color in Modified Atmosphere Packaging.

The objective of this study was to evaluate the viability and performance of nitric oxide modified-atmosphere packaging (MAP) as a novel alternative to high oxygen and carbon monoxide MAP for ground beef. Packages of ground beef under high oxygen (HI-OX), carbon monoxide (CO), and nitric oxide (NO) atmospheres were evaluated for descriptive and instrumental color every 12 h during a 120 h display period. Surface myoglobin percentages, internal cooked color, thiobarbituric acid reactive substances (TBARS), and residual nitrite and nitrate were also evaluated. There were gas × time interactions for descriptive color, discoloration, a* values, b* values, deoxymyoglobin percentages, and metmyoglobin percentages (p < 0.05). There were also gas-type main effects for cooked color and TBARS (p < 0.05). Carbon monoxide maintained the most redness and least discoloration throughout the display period, while HI-OX started with a bright red color but rapidly browned (p < 0.05). Nitric oxide started as dark red to tannish-red but transitioned to a dull red (p < 0.05). However, NO had increased redness and a* values for internal cooked color (p < 0.05). Although CO outperformed NO packages, NO exhibited a unique color cycle warranting further research to optimize its use.

Brain control of dual-task walking can be improved in aging and neurological disease.

The peak prevalence of multiple sclerosis has shifted into older age groups, but co-occurring and possibly synergistic motoric and cognitive declines in this patient population are poorly understood. Dual-task-walking performance, subserved by the prefrontal cortex, and compromised in multiple sclerosis and aging, predicts health outcomes. Whether acute practice can improve dual-task walking performance and prefrontal cortex hemodynamic response efficiency in multiple sclerosis has not been reported. To address this gap in the literature, the current study examined task- and practice-related effects on dual-task-walking and associated brain activation in older adults with multiple sclerosis and controls. Multiple sclerosis (n = 94, mean age = 64.76 ± 4.19 years) and control (n = 104, mean age = 68.18 ± 7.01 years) participants were tested under three experimental conditions (dual-task-walk, single-task-walk, and single-task-alpha) administered over three repeated counterbalanced trials. Functional near-infrared-spectroscopy was used to evaluate task- and practice-related changes in prefrontal cortex oxygenated hemoglobin. Gait and cognitive performances declined, and prefrontal cortex oxygenated hemoglobin was higher in dual compared to both single task conditions in both groups. Gait and cognitive performances improved over trials in both groups. There were greater declines over trials in oxygenated hemoglobin in dual-task-walk compared to single-task-walk in both groups. Among controls, but not multiple sclerosis participants, declines over trials in oxygenated hemoglobin were greater in dual-task-walk compared to single-task-alpha. Dual-task walking and associated prefrontal cortex activation efficiency improved during a single session, but improvement in neural resource utilization, although significant, was attenuated in multiple sclerosis participants. These findings suggest encouraging brain adaptability in aging and neurological disease.

Induction of Extracellular Hydroxyl Radicals Production in the White-Rot Fungus Pleurotus eryngii for Dyes Degradation: An Advanced Bio-oxidation Process.

Among pollution remediation technologies, advanced oxidation processes (AOPs) are genuinely efficient since they are based on the production of strong, non-selective oxidants, mainly hydroxyl radicals (·OH), by a set of physicochemical methods. The biological counterparts of AOPs, which may be referred to as advanced bio-oxidation processes (ABOPs), have begun to be investigated since the mechanisms of induction of ·OH production in fungi are known. To contribute to the development of ABOPs, advanced oxidation of a wide number of dyes by the white-rot fungus Pleurotus eryngii, via a quinone redox cycling (QRC) process based on Fenton's reagent formation, has been described for the first time. The fungus was incubated with 2,6-dimethoxy-1,4-benzoquinone (DBQ) and Fe3+-oxalate, with and without Mn2+, leading to different ·OH production rates, around twice higher with Mn2+. Thanks to this process, the degradative capacity of the fungus increased, not only oxidising dyes it was not otherwise able to, but also increasing the decolorization rate of 20 dyes by more than 7 times in Mn2+ incubations. In terms of process efficacy, it is noteworthy that with Mn2+ the degradation of the dyes reached values of 90-100% in 2-4 h, which are like those described in some AOPs based on the Fenton reaction.

Association of polypharmacy scores with the long-term survival of patients with intact aortoiliac aneurysms and indication for repair.

OBJECTIVE/BACKGROUND: Our study analyzed the relationship between two polypharmacy scores (addition of chronic prescribed drugs [ACPDs] and Rx-Risk Comorbidity Index) and survival in patients with an intact abdominal aortic and/or common iliac aneurysm (AAA). METHODS: Consecutive retrospective, single-center cohort of patients attended for an intact AAA with indication for repair from 2008 to 2021. Demographic data, Charlson Comorbidity Index, AAA treatment, ACPD, and Rx-Risk polypharmacy scores were recorded at baseline. Main outcomes were the 5-year and long-term survival rates. The statistical analysis included Cox regression, area under the curve, and continuous net reclassification index. RESULTS: A total of 424 patients with AAA were evaluated (median age: 76 years; 92.2% male, median Charlson index 2), of whom 314 (74.1%) underwent intervention (80% endovascular and 20% open) and 110 (25.9%) did not. During follow-up (mean 4.6 years), 245 patients (57.8%) died, with 1-month, 1-year, and 5-year survival rates of 98.1%, 86.3%, and 52.7%, respectively. ACPD and Rx-Risk indices (median [interquartile range]: 6 [4-9] and 3 [0-5], respectively) were significantly and linearly associated (P < .001) with survival, with the best cutoff points at 5 and 0, respectively. An ACPD >5 (patients with >5 chronically prescribed drugs at baseline) and an Rx-Risk >0 were associated with a 45.2% (P = .038) and 102% (P = .002) increase in 5-year mortality, respectively, after adjustment for age, sex, Charlson index, and type of AAA treatment. Both polypharmacy indices improved significantly the discriminative power of the Charlson Comorbidity Index in predicting survival. CONCLUSIONS: Both ACPD and Rx-Risk polypharmacy scores are independently related to survival among patients with an intact AAA and indication for repair. Their behavior is similar, so the simple ACPD >5 appears to be sufficient to identify patients with lower survival rates.

Mother-to-child Chagas disease transmission: The challenge of detection and prevention in areas without the risk of vectorial transmission.

Chagas disease (CD) is caused by the parasite Trypanosoma cruzi. Although it is endemic in many Latin American (LA) countries, mother-to-child transmission has caused it to expand to other countries and continents. In places where vector transmission is controlled or absent, the epidemiological importance of T. cruzi transmission of the infected mother to her child during pregnancy or childbirth (i.e., perinatal CD) increases. In countries where CD is not endemic, CD screening should be performed in pregnant or fertile women who are native to LA countries or whose mothers are native to LA countries. Diagnosis is established by detecting anti-T. cruzi IgG antibodies in a serum or plasma sample. Antiparasitic treatment cannot be offered during pregnancy, and since the majority of infected newborns are asymptomatic at birth, a diagnosis is made by direct observation or concentration (microhematocrit) or by using molecular testing techniques. Once the infected child receives a diagnosis, it is essential to offer treatment (benznidazole/nifurtimox) as soon as possible, with good tolerance and effectiveness in the first year of life. Even if the diagnosis is negative at birth, the newborn must be followed up for at least the first 9 months of life.

Initial validation of the university of Alabama Birmingham study of aging life-space assessment in older adults with multiple sclerosis.

BACKGROUND: Older adults with multiple sclerosis (OAMS) have declines in walking and physical performance that may erode community mobility defined as the spatial extent of mobility in one's daily life and environment. OBJECTIVE: This study provided the first application and validation of the University of Alabama Birmingham Study of Aging Life-Space Assessment (UAB LSA) as a measure of community mobility in OAMS. METHODS: The sample included 97 OAMS and 108 healthy controls (HCs) who completed baseline assessments as part of an ongoing, longitudinal study. The primary assessments included the UAB LSA and timed 25-foot walk (T25FW), short physical performance battery (SPPB), global health score (GHS), and geriatric depression scale (GDS) in both OAMS and HCs, and patient determined disease steps (PDDS) scale in only OAMS. RESULTS: OAMS had significantly lower UAB LSA scores than HCs (p < .001). UAB LSA scores had strong correlations with T25FW(rs = -.641) and SPPB(rs = 0.507) in OAMS, and moderate correlations in HCs (rs = -.300 & rs = 0.384). The correlations between UAB LSA and GHS and GDS scores were significant, but small in OAMS (rs = -.239 & rs = -.231), and not statistically significant in HCs (rs = -.009 & rs = -.166). There was a strong correlation between UAB LSA and PDDS scores in the OAMS sample (rs = -.605). CONCLUSION: We provided initial evidence for UAB LSA scores as a measure of community mobility in OAMS.

Classification of fall risk across the lifespan using gait derived features from a wearable device.

Falls are one of the leading factors of injury and fatality in older adults. Given the importance of early detection of adults at higher risk of falls, we evaluated the ability of machine learning to classify fall risk in adults across the lifespan using wearable sensors embedded in a smartshirt. We evaluated the classification performance of binary and multiclass fall risk classifier models using SciKit Digital Health in adults across the lifespan. Using a k-fold and group k-fold cross-validation strategy, we demonstrate the feasibility of fall risk classification using accelerometer data from 10 second epochs of treadmill walking data from adults across the lifespan. We achieved an 88% accuracy in a binary clasifier of fallers vs. non-fallers, and an 86% accuracy in a multiclass classifier comparing non-fallers, fallers, and recurrent fallers using retrospective fall histories. Comparing group k-fold vs. k-fold cross-validation strategies, we find a 22-27% drop-off in accuracy performance. Furthering the evaluation framework presented in this study would be valuable to the development of more robust and clinically relevant models used in the prediction of fall risk. These models could one day be applied in clinical settings to help better diagnose and monitor fall risk among older adults, improving the care of at-risk individuals and reducing the injury and associated cost of falls.

A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease.

Objective and quantitative monitoring of movement impairments is crucial for detecting progression in neurological conditions such as Parkinson's disease (PD). This study examined the ability of deep learning approaches to grade motor impairment severity in a modified version of the Movement Disorders Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) using low-cost wearable sensors. A convolutional neural network architecture, XceptionTime, was used to classify lower and higher levels of motor impairment in persons with PD, across five distinct rhythmic tasks: finger tapping, hand movements, pronation-supination movements of the hands, toe tapping, and leg agility. In addition, an aggregate model was trained on data from all tasks together for evaluating bradykinesia symptom severity in PD. The model performance was highest in the hand movement tasks with an accuracy of 82.6% in the hold-out test dataset; the accuracy for the aggregate model was 79.7%, however, it demonstrated the lowest variability. Overall, these findings suggest the feasibility of integrating low-cost wearable technology and deep learning approaches to automatically and objectively quantify motor impairment in persons with PD. This approach may provide a viable solution for a widely deployable telemedicine solution.

Impacto del sexo del donante y del receptor en los niveles de hemoglobina de los receptores de riñón al año de seguimiento / Impact of donor and recipient sex on hemoglobin levels of kidney recipients at one-year follow-up

Introdución:El trasplante renal es la mejor terapia de reemplazo renal, el cual depende de múltiples factores para un funcionamiento como condiciones del donador, del receptor y sociodemográficas.Objetivo: Evaluar el efecto del sexo de los donadores y receptores durante el primer año después del trasplante en los valores de hemoglobina. Material y Método: Estudio de cohorte retrospectiva de receptores renales del 2014 al 2019, realizado en el Hospital de Especialidades del Centro Médico Nacional Siglo XXI (Ciudad de México). Se incluyeron a todos los trasplantados, excluyendo fallecidos, pérdida del injerto y pérdida de seguimiento en la institución. Se estudiaron sexo y edad del donante y receptor, tipo de donante renal (vivo o fallecido), hemoglobina antes del trasplante renal y la hemoglobina al año del trasplante, y creatinina sérica.Resultados: Se analizaron 914 pacientes, se excluyeron 109 por diversos motivos, quedando 805 pacientes que completaron los 12 meses de seguimiento. En el caso de donaciones de masculino a femenino, la mediana de hemoglobina del receptor a los 12 meses fue de 15,2 g/dL (Percentil 25-Percentil 75: 13,7-16,0 g/dL), de masculino a masculino de 15,2 g/dL (Percentil 25-Percentil 75: 13,4-16,6 g/dL), de femenino a femenino de 14,0 g/dL (Percentil 25-Percentil 75: 12,4-15,3 g/dL) y femenino de masculino de 13,5 g/dL (Percentil 25-Percentil 75: 12,5-14,8 g/dL).Conclusiones: Los niveles de hemoglogina no parecen estar influenciados por la masa nefronal, como sí otras funciones del injerto (depuración de creatinina). La regulación de la hemoglobina guarda relación con el sexo del receptor (AU)

Introduction: Kidney transplantation is the optimal renal replacement therapy, dependent on various factors such as donor, recipient, and sociodemographic conditions for optimal functioning. Objective: To assess the effect of donor and recipient sex during the first year post-transplant on hemoglobin values.Material and Method: A retrospective cohort study of kidney recipients from 2014 to 2019 was conducted at the Hospital de Especialidades of Centro Médico Nacional Siglo XXI (Mexico City). All transplant recipients were included, excluding those who died, experienced graft loss, or were lost to follow-up at the institution. Donor and recipient sex and age, type of renal donor (living or deceased), hemoglobin before renal transplant, hemoglobin at one-year post-transplant, and serum creatinine were studied.Results: A total of 914 patients were analyzed, with 109 excluded for various reasons, resulting in 805 patients who completed the 12-month follow-up. In cases of male-to-female donations, the median recipient hemoglobin at 12 months was 15.2 g/dL with an interquartile range (IQR 25-75) of 13.7-16.0 g/dL; male-to-male donations had a median of 15.2 g/dL (IQR 25-75 13.4-16.6 g/dL); female-to-female donations had a median of 14.0 g/dL (IQR 25-75 12.4-15.3 g/dL), and female-to-male donations had a median of 13.5 g/dL (IQR 25-75 12.5-14.8 g/dL).Conclusions: Hemoglobin levels do not appear to be influenced by nephron mass, as with other graft functions (creatinine clearance). Hemoglobin regulation is associated with the recipient’s sex (AU)

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments.

Wearable sensors provide a tool for at-home monitoring of motor impairment progression in neurological conditions such as Parkinson's disease (PD). This study examined the ability of deep learning approaches to grade the motor impairment severity in a modified version of the Movement Disorders Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) using low-cost wearable sensors. We hypothesized that expanding training datasets with motion data from healthy older adults (HOAs) and initializing classifiers with weights learned from unsupervised pre-training would lead to an improvement in performance when classifying lower vs. higher motor impairment relative to a baseline deep learning model (XceptionTime). This study evaluated the change in classification performance after using expanded training datasets with HOAs and transferring weights from unsupervised pre-training compared to a baseline deep learning model (XceptionTime) using both upper extremity (finger tapping, hand movements, and pronation-supination movements of the hands) and lower extremity (toe tapping and leg agility) tasks consistent with the MDS-UPDRS. Overall, we found a 12.2% improvement in accuracy after expanding the training dataset and pre-training using max-vote inference on hand movement tasks. Moreover, we found that the classification performance improves for every task except toe tapping after the addition of HOA training data. These findings suggest that learning from HOA motion data can implicitly improve the representations of PD motion data for the purposes of motor impairment classification. Further, our results suggest that unsupervised pre-training can improve the performance of motor impairment classifiers without any additional annotated PD data, which may provide a viable solution for a widely deployable telemedicine solution.

Derivates of 1,6-dihyadroazaazulenes as inhibitors of tyrosine kinases BCR-ABL1 wild type and mutant T315I: a molecular dynamics approach.

The protein tyrosine kinase (PTK) produced by the BCR-ABL1 gene has generated significant interest in the development of inhibitors since the presence of punctual mutations causes resistance to currently approved drugs, mainly the T315I mutation has been the most difficult to address. In this work, derivatives of 1,6-dihydroazaazulenes are studied as possible inhibitors of this PTK in its wild form and the mutant T315I. The recognition of the ligands was explored through molecular docking, and the stability of the complexes and their evolution over time was studied using molecular dynamics (MD) simulations. Our results show that complexes are energetically stable and reside on the ATP binding site in all cases during the MD experiments. Interestingly, a few of our proposed ligands presented greater affinity for T315I, finding more favorable binding free energies (ΔG) than the reference drug axitinib. Furthermore, they may act as inhibitors for both isoforms. Our findings are promising because mutation of T315I does not prevent ligand recognition, as detailed in this work, which is very important to conduct further experimental research.Communicated by Ramaswamy H. Sarma.

Using cross-correlation analysis of multi-channel near infrared spectroscopy to assess the hemodynamic response to cupping therapy.

Cupping therapy is a common intervention for the management of musculoskeletal impairment. Previous studies have demonstrated that cupping therapy can improve muscle hemodynamic responses using single-channel near-infrared spectroscopy (NIRS). However, the effects of cupping therapy on spatial hemodynamic responses as well as the correlation between oxyhemoglobin and deoxy-hemoglobin are largely unknown. The cross-correlation function (CCF) algorithm was used to determine the correlation between time-series NIRS signals from inside and outside the cup as well as time-series oxyhemoglobin and deoxy-hemoglobin under 4 cupping intensities, including -225 and -300 mmHg for 5 and 10 min. The main finding was that the maximum CCF values of oxyhemoglobin was significantly higher than those in deoxy-hemoglobin (p < 0.05). Furthermore, it was found that there was a correlation between deoxy-hemoglobin with a longer duration and a larger magnitude of negative pressure. This is the first study investigating time-series hemodynamic responses after cupping therapy using cross-correlation function analysis of multi-channel NIRS signals.

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait.

OBJECTIVE: Multiple sclerosis (MS) is a chronic neurological condition of the central nervous system leading to various physical, mental and psychiatric complexities. Mobility limitations are amongst the most frequent and early markers of MS. We evaluated the effectiveness of a DeepMS2G (deep learning (DL) for MS differentiation using multistride dynamics in gait) framework, which is a DL-based methodology to classify multi-stride sequences of persons with MS (PwMS) from healthy controls (HC), in order to generalize over newer walking tasks and subjects. METHODS: We collected single-task Walking and dual-task Walking-while-Talking gait data using an instrumented treadmill from a balanced collection of 20 HC and 20 PwMS. We utilized domain knowledge-based spatiotemporal and kinetic gait features along with two normalization schemes, namely standard size-based and multiple regression normalization strategies. To differentiate between multi-stride sequences of HC and PwMS, we compared 16 traditional machine learning and DL algorithms. Further, we studied the interpretability of our highest-performing models; and discussed the association between the lower extremity function of participants and our model predictions. RESULTS: We observed that residual neural network (ResNet) based models with regression-based normalization were the top performers across both task and subject generalization classification designs. Considering regression-based normalization, a multi-scale ResNet attained a subject classification accuracy and F 1-score of 1.0 when generalizing from single-task Walking to dual-task Walking-while-Talking; and a ResNet resulted in the top subject-wise accuracy and F 1 of 0.83 and 0.81 (resp.), when generalizing over unseen participants. CONCLUSION: We used advanced DL and dynamics across domain knowledge-based spatiotemporal and kinetic gait parameters to successfully classify MS gait across distinct walking trials and unseen participants. SIGNIFICANCE: Our proposed DL algorithms might contribute to efforts to automate MS diagnoses.

Corrigendum to "Feasibility of virtual low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease" [MethodsX 11 (2023) 102230].

[This corrects the article DOI: 10.1016/j.mex.2023.102230.].

Dataset of quality assurance measurements of rhythmic movements.

A low-cost quantitative structured office measurement of movements in the extremities of people with Parkinson's disease [1,2] was performed on participants with Parkinson's disease and multiple system atrophy as well as age- and sex-matched healthy participants with typical development. Participants underwent twelve videotaped procedures rated by a trained examiner while connected to four accelerometers [1,2] generating a trace of the three location dimensions expressed as spreadsheets [3,4]. The signals of the five repetitive motion items (3.4 Finger tapping, 3.5 Hand movements, 3.6 Pronation-supination movements of hands, 3.7 Toe tapping, and 3.8 Leg agility) [1] underwent processing to fast Fourier [5] and amor and bump continuous wavelet transforms [6], [7], [8], [9], [10], [11], [12], [13]. Images of the signals and their transforms [4], [5], [6] of the five repetitive tasks of each participant were randomly expressed as panels on an electronic framework for rating by 35 trained examiners who did not know the source of the original output [14]. The team of international raters completed ratings of the signals and their transforms independently using criteria like the scoring systems for live assessments of movements in human participants [1,2]. The raters scored signals and transforms for deficits in the sustained performance of rhythmic movements (interruptions, slowing, and amplitude decrements) often observed in people with Parkinson's disease [15], [16], [17], [18], [19], [20]. Raters were first presented the images of the signals and transforms of a man with multiple system atrophy as a test and a retest in a different random order. After the raters completed the assessments of the man with multiple system atrophy, they were presented random test and retest panels of the images of signals and transforms of ten participants with Parkinson's disease who completed a single rating session. After the raters completed the assessments of the participants with Parkinson's disease who completed one set of ratings, they were presented random test and retest panels of the images of signals and transforms of (A) ten participants with Parkinson's disease and (B) eight age- and sex-match healthy participants with typical development who completed two rating session separated by a month or more [15], [16], [17], [18], [19], [20]. The data provide a framework for further analysis of the acquired information. Additionally, the data provide a template for the construction of electronic frameworks for the remote analysis by trained raters of signals and transforms of rhythmic processes to verify that the systems are operating smoothly without interruptions or changes in frequency and amplitude. Thus, the data provide the foundations to construct electronic frameworks for the virtual quality assurance of a vast spectrum of rhythmic processes. The dataset is a suitable template for solving unsupervised and supervised machine learning algorithms. Readers may utilize this procedure to assure the quality of rhythmic processes by confirming the absence of deviations in rate and rhythm. Thus, this procedure provides the means to confirm the quality of the vast spectrum of rhythmic processes.

Modelo animal para la evaluación del sellado de colaterales venosas con dispositivos liberadores de energía en cirugía de revascularización / Animal model to assess collateral vein sealing with energy-based devices in revascularization surgery

Introducción: los dispositivos liberadores de energía permiten la hemostasia de los vasos mediante generación de calor y la coagulación de las proteínas de la pared. Sin embargo, se desconoce su comportamiento a medio plazo en la cirugía arterial con injertos venosos. Objetivos: desarrollar un modelo animal que permita evaluar la eficacia y seguridad del sellado a medio plazo tras el proceso de cicatrización. Comparar y evaluar qué modelo in vivo presenta menor morbilidad y mayor supervivencia a las 4 semanas. Material y métodos: estudio experimental animal de 16 conejos New Zealand a los que se interpuso un fragmento de vena safena humana (VS) con una colateral. Se desarrollaron dos modelos arteriales: bypass termino-terminal de VS en aorta infrarrenal (n = 5) y plastia de aorta con parche de VS (n = 11). La colateral venosa fue sellada, previa aleatorización, con electrocoagulación bipolar controlada por temperatura (EB) o bisturí armónico (BA). Todos los animales recibieron inmunosupresión y profilaxis antitrombótica. Se registró la tasa de paraplejia, de infección, de hemorragia y de supervivencia. Resultados: la supervivencia a los 7 días fue del 50 % (2/4) en el modelo de injerto de interposición. Sin embargo, ningún animal sobrevivió a las 4 semanas de seguimiento en este modelo. En el grupo de plastia de aorta, la supervivencia a los 7 días fue del 55,56 % (5/9) y del 44,44 % (4/9) a las 4 semanas (p = 0,5). La tasa de paraplejia en el grupo de interposición fue del 100 % e inferior en el modelo de plastia de aorta (25 %) (p = 0,03). El tiempo medio de isquemia en el modelo de plastia de aorta (37,11 ± 8,1 min) fue inferior al del grupo del bypass (42 ± 10,61 min) (p = 0,414). En ningún caso se objetivó hemorragia intraabdominal ni reacción adversa a la inmunosupresión. Conclusiones: el modelo arterial de plastia de aorta con parche de VS presentó menor tasa de paraplejia, así como menor mortalidad posoperatoria a los 7 días...(AU)

Introduction: energy sealing devices achieve hemostasis of the vessels through the heat generated and coagula-tion of the vascular wall proteins. However, the mid-term efficacy profile for venous graft sealing in arterial bypasssurgery remains unknown.Objectives: to create an animal model to compare the mid-term efficacy and safety profile at the sealing areaafter the healing process. To compare and assess which in vivo arterial models show lower morbidity and highersurvival rates after 4 weeks.Material and methods: this was an in vivo experimental study of 16 New Zealand rabbits. In each rabbit a humansaphenous vein (SV) with, at least, 1 venous collateral was implanted. Two arterial models were developed: infrarre-nal aorta bypass with SV (n = 5) and aortoplasty with SV patch (n = 11). In both models the collateral was randomizedand sealed with either 1 these 2 energy sealing devices: electrothermal bipolar vessel sealing (EBVS) or Harmonicscalpel (HS). Every animal was treated with antithrombotic prophylaxis and immunosuppressive medication. Therates of intraoperative mortality, paraplegia, infection, bleeding, and survival were all studied.Results: two animals (50 %) survive 7 days after surgery in the bypass model. However, no animal survived 4 daysafter surgery in this model. In the aortoplasty group, the 7-day survival rate was 55.56 % (5/9) while the 4-weeksurvival rate was 44.44 % (4/9) (p = 0.05). The rate of paraplegia was 100 % for the bypass model and much lowerfor the patch group (25 %) (p = 0.03). The mean ischemic time was lower for the aortoplasty model (37.11 ± 8.1 min)compared to the bypass group (42 ± 10.61 min) (p = 0.414). No animal showed intrabdominal hemorrhages oradverse drug reactions associated with the immunosuppressive medication.Conclusion: aortoplasty with the SV patch model showed lower rates of paraplegia and 7-day mortality in theanimal model...(AU)

Feasibility of virtual low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease.

A low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease, a structured motor assessment administered by a trained examiner to a patient physically present in the same room, utilizes sensors to generate output to facilitate the evaluation of the patient. However, motor assessments with the patient and the examiner in the same room may not be feasible due to distances between the patient and the examiner and the risk of transmission of infections between the patient and the examiner. Therefore, we propose a protocol for the remote assessment by examiners in different locations of both (A) videos of patients recorded during in-person motor assessments and (B) live virtual assessments of patients in different locations from examiners. The proposed procedure provides a framework for providers, investigators, and patients in vastly diverse locations to conduct optimal motor assessments required to develop treatment plans utilizing precision medicine tailored to the specific needs of each individual patient. The proposed protocol generates the foundation for providers to remotely perform structured motor assessments necessary for optimal diagnosis and treatment of people with Parkinson's disease and related conditions.

Kinetics of cellular and humoral immunogenicity and effectiveness of SARS-CoV-2 booster vaccination in hematologic neoplasms.

Data on the effect of booster SARS-CoV-2 vaccination are mainly focused on humoral immunogenicity, while the kinetics of vaccine-induced cellular response and its correlation with effectiveness in hematologic patients are less explored. Our aim was to evaluate the longitudinal cellular and humoral immunogenicity induced by two and three doses of the mRNA-1273 SARS-CoV-2 vaccine in 270 patients with hematologic malignancies, and its relationship with the severity of breakthrough SARS-CoV-2 infection. Results indicate that at 23 weeks after the second dose, the seroconversion rate declined from 68.5% to 59.3%, with a reduction in median anti-S titers from 1577 to 456 BAU/mL, mainly in patients over 65 years of age or chronic lymphocytic leukemia (CLL) patients undergoing active therapy. Cellular immunogenicity, however, remained positive in 84.4% of cases. A third vaccine dose seroconverted 42.7% (41/96) and triggered cellular response in 36.7% (11/30) of previously negative patients. Notably, only 7.2% (15/209) of patients failed to develop both humoral and cellular response. Active therapy, anti-CD20 antibodies, lymphopenia, hypogammaglobulinemia, and low CD19+ cell count were associated with poor humoral response, while active disease, GvHD immunosuppressive therapy, lymphopenia, and low CD3+ , CD4+ , CD56+ cell count determined an impaired cellular response. After 13.8 months of follow-up, the incidence of SARS-CoV-2 infection was 24.8% (67/270), including 6 (9%) severe/critical cases associated with a weaker cellular (median interferon gamma (IFN-γ) 0.19 vs. 0.35 IU/mL) and humoral response (median anti-S titer <4.81 vs. 788 BAU/mL) than asymptomatic/mild cases. In conclusion, SARS-CoV-2 booster vaccination improves humoral response and COVID-19 severity is associated with impaired vaccine-induced immunogenicity.

Beta cortical oscillatory activities and their relationship to postural control in a standing balance demanding test: influence of aging.

Background: Age-related changes in the cortical control of standing balance may provide a modifiable mechanism underlying falls in older adults. Thus, this study examined the cortical response to sensory and mechanical perturbations in older adults while standing and examined the relationship between cortical activation and postural control. Methods: A cohort of community dwelling young (18-30 years, N = 10) and older adults (65-85 years, N = 11) performed the sensory organization test (SOT), motor control test (MCT), and adaptation test (ADT) while high-density electroencephalography (EEG) and center of pressure (COP) data were recorded in this cross-sectional study. Linear mixed models examined cohort differences for cortical activities, using relative beta power, and postural control performance, while Spearman correlations were used to investigate the relationship between relative beta power and COP indices in each test. Results: Under sensory manipulation, older adults demonstrated significantly higher relative beta power at all postural control-related cortical areas (p < 0.01), while under rapid mechanical perturbations, older adults demonstrated significantly higher relative beta power at central areas (p < 0.05). As task difficulty increased, young adults had increased relative beta band power while older adults demonstrated decreased relative beta power (p < 0.01). During sensory manipulation with mild mechanical perturbations, specifically in eyes open conditions, higher relative beta power at the parietal area in young adults was associated with worse postural control performance (p < 0.001). Under rapid mechanical perturbations, specifically in novel conditions, higher relative beta power at the central area in older adults was associated with longer movement latency (p < 0.05). However, poor reliability measures of cortical activity assessments were found during MCT and ADT, which limits the ability to interpret the reported results. Discussion: Cortical areas are increasingly recruited to maintain upright postural control, even though cortical resources may be limited, in older adults. Considering the limitation regarding mechanical perturbation reliability, future studies should include a larger number of repeated mechanical perturbation trials.

Veterinary Education and Training on Non-Traditional Companion Animals, Exotic, Zoo, and Wild Animals: Concepts Review and Challenging Perspective on Zoological Medicine.

The role of veterinarians is becoming more significant and necessary to support the welfare and health not only of non-traditional companion animals and wildlife animals, but also of humans and the environment. The importance of the One Health/One World concept and its social impact is increasing significantly, accompanied by the notoriety of new emerging and reemerging zoonoses. This paper aims to review and anchor the main concepts and professional applications of zoological medicine, which has been extensively discussed and adapted in recent decades. In addition, we analyse the main social demands, training, and educational needs and the perception of veterinary professionals relating to this specialised veterinary discipline. Our final goal is to reinforce the use of the term zoological medicine and contribute to highlight the need to foster and underpin specific educational policies and programs on this matter in the veterinary curricula. Zoological medicine should be the appropriate and agreed-upon term in the academic language concerning the veterinary medicine of pets, wild, or zoo species, excluding traditional domestic animals, and integrating the principles of ecology and conservation, applied to both natural and artificial environments. This discipline has suffered an intense evolution covering applications in private clinics, zoos, bioparks, and wildlife. All this implies current and future challenges for the veterinary profession that can only be addressed with greater and better attention from multiple perspectives, especially the education and training of professionals to improve and specialise in their professional scope of services.