All Articles in may, 2023

SARS-CoV-2 is a new pandemic infection that affects at the beginning the upper respiratory system, and, successively, all the organisms, due to cytokine storm, with serious consequences that can reach death. The aim of this work was the observation of the nasal mucosa of enrolled 60 patients, resulting negative for two weeks to the molecular swab for SARS-CoV-2, versus the control group. Rhino-fibroscopy and nasal cytology of nasal mucosa were performed for both the investigated groups. The observation of the samples showed the occurrence of plasmablastic lymphocytes and Downey II lymphocytes type. The former type of lymphocytes was prevalent against the second one, probably because of an immunological “scar”. The rhino-fibroscopy showed a “pseudo ischemia of nasal submucosa” at pre and pericranial levels, not occurred in the control group.The occurrence of atypical lymphocytes in the nasal smear was analog to that observed in the blood peripheral smear, probably caused by mechanisms of local immune reaction and dysregulation like those observed in other virus infections. Our findings suggest that the nasal mucosa study through the nasal cytology, can represent an important predictive tool of the SARS-CoV-2 infection.

Food production program faces tight competition on land, water, energy, and efforts against the negative effects of food production on the environment [1,2]. 

Introduction: Child Protection Services (CPSs) are dedicated to providing protection and responding to any threats a child could face as children worldwide could be abused. Recently, the COVID-19 pandemic affected all aspects of life. Procedures implemented to restrict the spread of the disease (such as reduced access to services, school closure, and social distancing measures) had an impact on child life and maltreatment. Therefore, it is important to know the impact of this pandemic on child abuse and protection. Aim and rationales: This study aimed to assess the impact of COVID-19 on CPSs in Oman by studying the change in the number of reported cases of child abuse and the change in the reporting procedure at the Ministry of Social Development (MOSD). In addition, know the impact of the restriction measures on child rights and risk factors of child maltreatment based on CPSs workers’ opinions and experience. To understand the adaptation of the CPSs to the change in work and life environment imposed by COVID-19. Method: A cross-section study was conducted using a semi-structured questionnaire, that was distributed to the workers involved in the CPSs at the MOSD in Oman. Data also were collected from the statistical bulletins on the Ministry’s website. Results: COVID-19 pandemic was not found associated with a significant change in the number and type of child abuse cases reported to the MOSD. The reporting procedures also did not change. In addition, the pattern of child abuse types did not change before and during the pandemic, as neglect cases were the most. The participants judged the restriction measures affecting family life through separation, cyber abuse, and reduced educational support. With regard to intervention and follow-up procedures, the main difference was in the communication processes by using online communication methods and reducing the fieldwork for mild cases.Conclusion: CPSs in Oman were not much affected by the COVID-19 pandemic, which may reflect the success of this system in dealing with the restriction measures. However, more solutions should be developed to adapt to these circumstances in the future altogether.

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.

With each passing year a new record for global emissions is set (1) and policymakers and utility companies must embrace all avenues for decarbonization of energy. Universal adoption of electrification for every building and home by 2050 (2) is not practical, a balance must be struck between an equitable transition to cleaner energy supplies and ensuring uninterrupted, safe delivery of energy to utility customers. Renewable Natual Gas (RNG) is a molecule-for-molecule replacement of traditional geological natural gas with tangible life cycle emissions reductions. California continues to lead the way, initially starting with the low carbon fuel standard (LCFS) which aimed to reduce the carbon intensity of transportation fuel, and subsequently, Senate Bill 1440, which established RNG procurement goals including 12% RNG by 2030 (3). Other States are starting to adopt similar changes such as Oregon’s Senate Bill 98 and Colorado’s Senate Bill 21-264. As utilities attempt to transition the energy network, they must never compromise system safety and reliability. Recognizing that raw biogas has dangerous levels of contaminants of concern (COC) and must be conditioned to pipeline quality, its important utility companies better understand the methods with which methane is extracted and the testing protocols used to confirm performance. This paper highlights the equipment, processes, and testing regime National Grid and its partner the New York City Department of Environmental Protection (NYC DEP) deployed as part of its Newtown Creek RNG project, which successfully began injecting RNG into the NYC gas distribution network in October 2022.

This paper is a study of the nuclear Equation of State (EOS) of cold nuclear matter with the B3Y-Fetal effective interaction in its CDM3Y density-dependent version within the framework of Hartree-Fock approximation. The well-known saturation properties of both symmetric and asymmetric nuclear matter are well-reproduced in this work. Using the CDM3Y-K approach, this study has evolved a new set of user interactions, some of which are CDB3Y1-, CDB3Y2-, CDB3Y3-, CDB3Y4-, CDB3Y5-, CDB3Y6-Fetal interactions with corresponding incompressibilities K0 = 188, 204, 217,228, 241 and 252 MeV respectively, in excellent agreement with those of the M3Y-Paris and M3Y-Reid effective interactions. For asymmetric nuclear matter, the new set of interactions has produced the symmetry energy Esym = 32.00 MeV with an associated slope parameter L = 55 MeV at a saturation density ρ = 0.17fm−3 and asymmetry parameter δ = 1.00 (pure neutron matter) in good agreement with the standard values obtained from coupled channel analysis of charge exchange reactions, statistical multifragmentation model and terrestrial Nuclear Physics experimental analyses. Furthermore, the new set of interactions has been found to have bright prospects in a nuclear reaction as the real folded potential computed with the CDB3Y6-Fetal interaction within the framework of double folding potential has been found to be good and similar to that of CDB3Y6-Paris whose optical potential has a repulsive direct component.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) appeared in December 2019 in China and has rapidly become a major global health concern. Patients with end-stage renal disease receiving dialysis treatment are very exposed to the SARS-CoV-2 during their frequent visits to healthcare facilities and immune induced by uremia. The aim of our work was to describe the particularity of COVID-19 infection in hemodialysis patients in sub-Saharan Africa and in Ziguinchor, south of Senegal, particularly. To do this, we conducted a monocentric prospective study over a period of 16 months at the Ziguinchor hemodialysis center and compared our results to a study that focuses on the seroprevalence of SARS-CoV-2 in chronic hemodialysis patients. We found a low prevalence of COVID-19 infection while the majority of our patients were in contact with the virus.

Based on paraffin-wax include, volcano-based antimony-bearing, phospholipid, antimony found in gold deposit and TIPSb/triisopropylantimony ever predicted as the room temperature organic superconductor compound. Many flourishing explanations have been declared, from variational method to inductive deduction, with all indicating the presence of C9H21O3Sb.PBr6.We consider that aplications in mesoscale regime, at least when using multiscale fractal of critical parameter that affects physical & chemical properties and to adopt “mesoscopic scale” ever stated as “superconductors” by Holmvall (2017). Then the mathematical induction of variational method of exploitation on integers & natural numbers herewith paraffin-wax etc can be resembled the ever built antimony containing compounds to keep the realm of predictions.

Introduction: Patients with aortic stenosis often develop hypertrophy and fibrosis, regardless of symptoms. Cardiac Magnetic Resonance (CMR) represents the gold standard for the evaluation of fibrosis despite numerous limitations: cost, availability, atrial fibrillation, claustrophobia, kidney failure or inability to apnea.Purpose: The aim is to validate the role of echocardiographic parameters, such as Global Longitudinal Strain (GLS), as early markers of fibrosis. Clinical and laboratory data, particularly B-type Natriuretic Peptide (BNP), were also analyzed.Material and methods: In our study we recruited 33 patients with severe aortic stenosis, correlating echocardiographic values of GLS with the qualitative analysis of Late Gadolinium Enhancement (LGE) and the quantitative analysis of T1 mapping of CMR.Results: 70% of patients with an alteration of GLS had LGE+. Univariate logistic regression shows that the factors associated with the presence of LGE on CMR are hypertension (p = 0.043), GLS (p = 0.032), and elevated BNP values (p = 0.021); for GLS, Odds Ratio (OR) is 5 so the chance of finding fibrosis on CMR increases 5 times in presence of an altered GLS. The multivariate analysis confirms the association with impaired GLS values (p = 0.033) and hypertension (p = 0.025), but not with elevated Pro-BNP values.Conclusion: In patients with severe aortic stenosis, the association between GLS, LGE, and T1 mapping can help identify earlier those patients with structural changes caused by the disease, who could benefit from early intervention. It remains to be established how the presence of these alterations has a role in determining the intervention time and the outcome of these patients.

Background: Since 2019, remote patient monitoring (RPM) for patients with chronic heart failure (CHF) has been supported by the European Society of Cardiology. However, real-world data on the use of such solutions has been limited and not primarily based on patient-reported outcomes. The aim of this study was to describe the Satelia® Cardio solution in France within the French ETAPES funding program and assess the security and performance of its clinical algorithm.Methods: A retrospective observational study was conducted on CHF patients monitored by RPM through Satelia® Cardio. From September 1, 2018, to June 30, 2020, patients were included if they had completed over six months of follow-up. The risk of a possible CHF decompensation was categorized by the system in three levels: green, orange and red. The algorithm security and performance were assessed through the negative predictive value (NPV) of the prediction of hospitalization of a patient within seven days.Results: In total, 331 patients were included in this study with 36,682 patient self-administered questionnaires answered. Patients were mostly males (70.4%) and had a mean age of 68.1 years. The mean left ventricular ejection fraction (LVEF) was 35.4% (± 12.3) and 73.3% of patients had a LVEF ≤ 40%. The questionnaire response rate was 90.9%. A green status was generated for 95.3% of answers. There were 4.5% (n = 1,499) orange alerts and 0.2% (n = 74) red alerts. Overall, 92.1% of patients had at least one CHF related hospitalization and 31.7% (n = 105) of these cases were non-scheduled. The NPV at seven days was 99.43%.Conclusion: Satelia® Cardio is a feasible, relevant and reliable solution to safely monitor the cohorts of patients with CHF, reassuring cardiologists about patient stability.

Originating from China in 2019, the novel Coronavirus Disease 2019 (COVID-19) pandemic had badly affected most of the world causing immense morbidity and mortality. The disease in moderate to severe cases was characterized by intense inflammation leading to ARDS and hypercoagulable states leading to thrombo-embolism and mortality.Aim: This study aimed to explore the association of inflammatory biomarkers with COVID-19 disease severity in our hospital which became a dedicated COVID hospital during the pandemic.

The nanometer-scale spatial organization of immune receptors plays a role in cell activation and suppression. While the connection between this spatial organization and cell signaling events is emerging from cell culture experiments, how these results translate to more physiologically relevant settings like the tumor microenvironment remains poorly understood due to the challenges of high-resolution imaging in vivo. Here we perform super-resolution immunofluorescence microscopy of human melanoma tissue sections to examine the spatial organization of the immune checkpoint inhibitor programmed cell death 1 (PD-1). We show that PD-1 exhibits a variety of organizations ranging from nanometer-scale clusters to more uniform membrane labeling. Our results demonstrate the capability of super-resolution imaging to examine the spatial organization of immune checkpoint markers in the tumor microenvironment, suggesting a future direction for both clinical and immunology research.

Aminonitriles are pharmacological-interest bioactive due to their promising antimicrobial and antitumor activity. Since cytotoxicity tests are inherent to the new drug development process, this work aimed to verify reports in the scientific literature on the cytotoxic effects of aminonitriles. The method adopted was an integrative review of works published in the last 10 years in the PubMed, Embase, Web of Science, and Virtual Health Library (VHL) databases. Three articles that matched the selection and eligibility criteria were included in this review. A total of 33 aminonitriles were used in the cytotoxicity experiments, and of the nine molecules based on pyridine, two exerted moderate cytotoxic activity, of the twelve synthesized from benzimidazole, none showed cytotoxic activity, and of the twelve derived from renieramycins, all showed considerable cytotoxic activities. The studies used in this research evaluated the cytotoxic effects of aminonitriles with evident anticancer and antimicrobial activity. The importance of evaluating the cytotoxicity of aminonitriles is emphasized, as well as the need for investigative research that explores other evaluation methods in pre-clinical tests that may corroborate the existing findings, with a view to the development of therapies against emerging health problems.

Priapism is a prolonged erection, usually painful, that occurs in the absence of sexual desire or stimulation, is not relieved by masturbation or intercourse and is the consequence of a mismatch in the regulatory mechanisms that initiate penile erection and those that allow its detumescence. One of the main causes of low-flow priapism is the use of drugs with an α-adrenergic antagonist effect, among which antipsychotic drugs stand out. Our objective is to present a clinical case and review the literature on the use of antipsychotics in medicine, psychiatry and other specialties and their relationship with the dose of the psychoactive drug in the onset of priapism. We present a 23-year-old male patient, single, with a significant history of mild Autism, for which he has received regular treatment with 6 mg daily of risperidone. He started experiencing priapism spontaneously for the last 4 days until a family member took him to the Emergency Room – intense, persistent and painful penile erection. Given the failure of the initial medical treatment for priapism, it was decided to perform multiple distal cavernous-cancellous shunts with improvement after 72 hours and discharge of the patient. We understand that there is a high affinity of antipsychotics for the α 1-adrenergic receptor, risperidone has an α 1 antagonist capacity. In fact, the third cause of priapism cases induced by atypical antipsychotics is secondary to risperidone, including recent cases associated with its parenteral depot presentation RisperdalConsta®.

Introduction: Severe cases of COVID-19 presented a high incidence of multi-organ dysfunction syndrome (MODS) during their evolution. This was attributed to a theoretical cytokine storm, where microcirculatory disorders would play a fundamental role, causing these patients to present a sepsis-like pattern as observed in sublingual microcirculation studies. The evidence in this regard is controversial. The Peripheral Perfusion Index is a reliable method to continuously and non-invasively assess the microcirculatory bed, which assesses the pulsatile (PPI) component of the plethysmographic pulse curve.Methods: We conducted a prospective observational study to evaluate the behavior of the PPI in patients with severe respiratory failure due to SARS-CoV-2 and its association with SDOM.Results: We evaluated 60 patients with APACHE II 14.6 ± 4.4 and SOFA 4.7 ± 2.1. 55% of the patients presented SDOM. Perfusion monitoring showed IP values of 5.32 ± 1.87 that were associated with normal lactate levels of 1.49 mmol/L (min 0.89/ max 2.20 mmol/L). The PPI values between the living and the dead did not show a significant difference (p = 0.854) or the presence of SDOM.The PPI values between the patients who presented renal failure, hemodynamics, or perfusion disorders were determined by the presence of hyperlactatemia, and for those who did not present these characteristics, no statistical difference was found; neither when stratified by PaFiO2 ratio. Mortality was 55%.Conclusion: In our series of patients with severe pneumonia due to COVID-19, we found high PPI values, which would correspond to a pattern of capillary recruitment, and the associated organ injury could not be substantiated by this phenomenon.

Reproductive health care disparity is a significant public health issue that affects many populations. This disparity stems from various factors, including race, ethnicity, socioeconomic status, geographic location, and education level. Such inequality results in adverse health outcomes such as unintended pregnancy, infertility and sexually transmitted infections among certain populations. Therefore, addressing reproductive health care disparities requires increasing access to affordable and comprehensive reproductive health services, promoting culturally competent care, improving access to family planning services and addressing barriers to care. Furthermore, promoting comprehensive sexuality education and addressing the root causes of inequality are also crucial in eliminating reproductive health care disparities. By addressing these disparities, we can ensure that all individuals have equal access to quality reproductive health care and services, leading to improved health outcomes for everyone.

Portal vein thrombosis (PVT) is a rare condition that may congest bowel venous drainage and cause mesenteric ischemia. In acute settings, gastrointestinal bleeding (GIB) is rare, and acute abdominal pain is the most common clinical presentation. A 24-year-old man who presented with acute abdominal pain and a single episode of hematemesis is reported. Workups revealed evidence of thrombosis in the portal vein, but upper endoscopy was incapable to detect the source of the bleeding. We discuss the possible scenarios for the GIB in this case and review similar reports in the literature.

Introduction: The spread of SARS-CoV-2 cases grew exponentially. In Mexico, it focused mainly on containing the disease and adopting activities and actions to mitigate it. Hospital reconversion was a fundamental strategy in the management of care for patients with COVID-19.Objective: To know the clinical characteristics of patients admitted with respiratory disease and probable COVID-19 in the Zacatecas General Hospital “Luz González Cosío” México.Material and methods: Descriptive, cross-sectional, and analytical study, at the General Hospital, from March 2019 to September 2021; using data from the Respiratory Disease Surveillance System. Data from patients admitted with a diagnosis of some pathology of respiratory disease and probable COVID-19 were analyzed.Results: We included 2,678 diagnosed with respiratory disease and a mean age; of 47.6 ± 21.6 gender distribution was almost equal; women 1,344 (51.0%). positive result to COVID-19 by PCR; 1,654 negatives; 900 and 124 without result. 193 (7.0%) required mechanical ventilation. The presence of comorbidities was evaluated; type 2 diabetes mellitus, systemic arterial hypertension, obesity, alone and together. Also the association of the age factor, as well as the lethality index; was 531 (19.6%).Discussion: What has been published in other studies about comorbidities and their influence on the severity of COVID-19 is confirmed, disagreeing on the case fatality rate; 20.7% against what was reported; 17.6% in other countries for COVID-19 hospitalized. An age variable was used as a risk factor with a cut-off point > 45 years; (FRE), obtaining; RR 3.42 (95% CI 2.79 to 4.19) and an odds ratio of 4.015 in binary logistic regression analysis. Reported male mortality (OR = 1.45; 95% CI: 1.41–1.51) according to our OR results; 1,45.Conclusion: The present study shows how certain chronic diseases influenced respiratory disease to present a serious state, regardless of the positive or negative result of COVID-19.

The appropriateness of opioid therapy for patients with Chronic Non-Malignant Pain (CNCP) has been questioned by a variety of researchers and policy makers [1-3]. One comprehensive review concluded that the benefits of such therapy for pain relief and functional improvement are modest at best and that opioid therapy is associated with significant harms including various symptoms (e.g., headache, nausea, sedation), development of opioid use disorder, fractures and death from overdose [3].

Neck exploration for primary HPT is the standard operation in which 4 parathyroid glands are identified and one abnormal parathyroid gland is removed. This is recommended for all patients with primary HPT. We hypothesized that most patients with primary HPT have a single abnormal parathyroid gland (adenoma) and parathyroid imaging studies will identify it and support a focused minimally invasive parathyroidectomy (MIP). This can be combined with ioPTH monitoring making bilateral exploration unnecessary. This paper reports a 93.4% success rate in 249 consecutive prospective patients with primary HPT over a 15-year period with a short operating time and few complications. The findings suggest that this alternate surgical MIP approach should be the procedure of choice for HPT patients.

Background: It is unknown what effect the menstrual cycle can have on the susceptibility to trauma following sexual assault. Objectives: To compare the incidence of genital injuries following sexual assault in women with relationship to the three phases of the menstrual cycleMethods: The design was a retrospective, cohort analysis set in a community-based nurse examiner program over a five-year study period. Sexual assault victims were between the ages of 13 - 40 years and agreed to a forensic examination. The menstrual cycle was divided into three phases: follicular, luteal and menses phase. The primary outcomes were the frequency and type of genital injuries documented in relation to the different phases of the menstrual cycle.Results: Case files of 1376 cases of sexual assault were reviewed; 682 (49.6%) met the inclusion criteria. A total of 220 victims (32.3%) were in the follicular phase, 361 (52.9%) were in the luteal phase and 101 (14.8%) were in the menses phase. The three groups were comparable in terms of demographics, assault characteristics, and overall frequency of non-genital injuries. Assault victims in the follicular phase of the menstrual cycle had significantly more documented genital injuries (72.3%; 95% CI 66.4 - 78.2) compared to the luteal phase (64.0%; 95% CI 59.0 - 68.9) and the menses phase (58.4%; 95% CI 48.8 - 68.0). Conclusion: Forensic examiners documented more genital injuries in the follicular phase of the menstrual cycle. Sex hormones may have confounding effects through influences on vaginal epithelial and mucosal integrity.

Cancer prognosis reflects a complex biological process measured by multiple types of omics data. Deep learning frameworks have been proposed to integrate multi-omics data and predict patient outcomes in different cancer types, potentially revolutionizing cancer prognosis with superior performance. This minireview summarizes the advances in the strategies for multi-omics data integration and the performance of different deep learning models in prognosis prediction of diverse cancer types using multi-omics data published in the past 18 months. The challenges and limitations of deep learning models for predicting cancer outcomes based on multi-omics data are discussed.