Vitamin D in Multiple Sclerosis: A Comprehensive Umbrella Review.

BACKGROUND: Multiple sclerosis (MS) is an inflammatory neuroimmune disease with a multifaceted etiology and long-lasting adverse effects. Several studies have explored the role of 25-hydroxyvitamin D (25(OH)D) serum levels, vitamin D receptor (VDR) gene polymorphisms, and vitamin D supplementation (VDS) in individuals with MS. OBJECTIVES: The aim of this study was to evaluate the relationship of MS with 25(OH)D serum levels, VDR gene polymorphisms, and VDS. METHODS: We assessed relevant articles published in PubMed, Scopus, and Web of Science from the inception up to 24 February, 2024. Meta-analyses that investigated the link of 25(OH)D serum levels, VDR gene polymorphisms including Apal (rs7975232), BsmI (rs1544410), Taql (rs731236), and Fokl (rs10735810), and VDS with the risk and clinical manifestations of MS were included. The methodological quality of selected articles was assessed by the Assessment of Multiple Systematic Reviews version 2. The statistical analysis of this umbrella review was carried out using RStudio version 2023.03.1 and R version 4.3.2, simultaneously. RESULTS: A total of 23 of 304 records were entered into this umbrella review with a pooled sample size of 37,567 participants. Eleven articles were rated as high quality, 1 was moderate quality, 1 was low quality, and 10 were critically low quality. The homozygote model of FokI (FF+ff compared with Ff) was significantly associated with an 8% reduction of MS risk (odds ratio: 0.92, 95% confidence interval: 0.86, 0.98; I2 = 0%, P > 0.99). CONCLUSION: According to existing clinical evidence, the risk of MS may be associated with VDR gene polymorphism. Further studies are needed to explore the association of MS and vitamin D. TRIAL REGISTRATION NUMBER: This trial was registered at Clinical Trials Registry of India (CTRI) as registration number CRD42024521541.

Designing a model of emergency medical services preparedness in response to mass casualty incidents: a mixed-method study.

BACKGROUND: Emergency medical services preparedness in mass casualty incidents is one of the most important concerns in emergency systems. A mass casualty incident is a sudden event with several injured individuals that overwhelms the local health care system. This study aimed to identify and validate the components of emergency medical services readiness in mass casualty incidents which ultimately led to designing a conceptual model. METHODS: This research was an explanatory mixed-method study conducted in five consecutive stages in Iran between November 2021 and September 2023. First, a systematic review was carried out to extract the components of emergency medical services preparedness in mass casualty incidents based on the PRISMA guideline. Second, a qualitative study was designed to explore the preparedness components through in-depth semi-structured interviews and analyzed using the content analysis approach. Third, the integration of the components extracted from the two stages of the systematic review and qualitative study was done by an expert panel. Fourth, the obtained components were validated using the Delphi technique. Two rounds were done in the Delphi phase. Finally, the conceptual model of emergency medical services preparedness in mass casualty incidents was designed by a panel of experts. RESULTS: 10 articles were included in the systematic review stage and sixteen main components were extracted and classified into four categories. In the second stage, thirteen components were extracted from the qualitative study and classified into five categories. Then, the components of the previous two phases were integrated into the panel of experts and 23 components were identified. After validation with the Delphi technique, 22 components were extracted. Lastly, the final components were examined by the panel of experts, and the conceptual schematic of the model was drawn. CONCLUSIONS: It is necessary to have an integrated framework and model of emergency medical service readiness in the planning and management of mass casualty incidents. The components and the final model of this research were obtained after the systematic scientific steps, which can be used as a scheme to improve emergency medical service preparedness in response to mass casualty incidents.

Exploring the efficacy and safety of cannabidiol in individuals with epilepsy: an umbrella review of meta-analyses and systematic reviews.

BACKGROUND: Epilepsy ranks among the most prevalent neurological conditions worldwide. Cannabidiol (CBD) has received authorization for epilepsy treatment, yet utilizing CBD is linked to a variety of adverse events (AEs). This umbrella review aims to explore risk and frequency of AEs in epilepsy patients undergoing treatment with CBD. METHODS: International electronic databases comprising Scopus, PubMed, and Web of Science were extensively searched from the most ancient data accessible until May 2024. In line with fundamental principle of the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA), this umbrella review was executed. RStudio software version 2023.03.1 along with R software 4.3.2 was used for our statistical analyses. RESULTS: Thirteen meta-analyses and systematic reviews were included. CBD use in epileptic patients compared to controls can be meaningfully linked with 10.87% becoming seizure-free (RD: 10.87%, 95%CI: 2.39%, 19.34%; I2 = 80%). Compared to controls, a meaningful 73% increase in 50% or greater reduction in seizure frequency was observed (RR: 1.73, 95%CI: 1.47, 2.03; I2 = 0%). In epileptic individuals who using CBD with the dosage of 20 mg/kg/d, a higher incidence of treatment withdrawal was detected (RR: 4.39, 95%CI: 2.46, 7.83; I2 = 0%). CONCLUSION: In this umbrella review of meta-analyses and systematic reviews, CBD use in epileptic patients was linked to an increased risk of ample AEs. Further research, specifically targeting various epilepsy categories, is essential to fully understand the effectiveness and potential side effects of CBD across different epilepsy forms.

Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data.

BACKGROUND: Despite the globally reducing hospitalization rates and the much lower risks of Covid-19 mortality, accurate diagnosis of the infection stage and prediction of outcomes are clinically of interest. Advanced current technology can facilitate automating the process and help identifying those who are at higher risks of developing severe illness. This work explores and represents deep-learning-based schemes for predicting clinical outcomes in Covid-19 infected patients, using Visual Transformer and Convolutional Neural Networks (CNNs), fed with 3D data fusion of CT scan images and patients' clinical data. METHODS: We report on the efficiency of Video Swin Transformers and several CNN models fed with fusion datasets and CT scans only vs. a set of conventional classifiers fed with patients' clinical data only. A relatively large clinical dataset from 380 Covid-19 diagnosed patients was used to train/test the models. RESULTS: Results show that the 3D Video Swin Transformers fed with the fusion datasets of 64 sectional CT scans + 67 clinical labels outperformed all other approaches for predicting outcomes in Covid-19-infected patients amongst all techniques (i.e., TPR = 0.95, FPR = 0.40, F0.5 score = 0.82, AUC = 0.77, Kappa = 0.6). CONCLUSIONS: We demonstrate how the utility of our proposed novel 3D data fusion approach through concatenating CT scan images with patients' clinical data can remarkably improve the performance of the models in predicting Covid-19 infection outcomes. SIGNIFICANCE: Findings indicate possibilities of predicting the severity of outcome using patients' CT images and clinical data collected at the time of admission to hospital.

Comparison of chest CT scan findings between COVID-19 and pulmonary contusion in trauma patients based on RSNA criteria: Established novel criteria for trauma victims.

PROPOSE: In this study, we re-assessed the criteria defined by the radiological society of North America (RSNA) to determine novel radiological findings helping the physicians differentiating COVID-19 from pulmonary contusion. METHODS: All trauma patients with blunt chest wall trauma and subsequent pulmonary contusion, COVID-19-related signs and symptoms before the trauma were enrolled in this retrospective study from February to May 2020. Included patients (Group P) were then classified into two groups based on polymerase chain reaction tests (Group Pa for positive patients and Pb for negative ones). Moreover, 44 patients from the pre-pandemic period (Group PP) were enrolled. They were matched to Group P regarding age, sex, and trauma-related scores. Two radiologists blindly reviewed the CT images of all enrolled patients according to criteria defined by the RSNA criteria. The radiological findings were compared between Group P and Group PP; statistically significant ones were re-evaluated between Group Pa and Group Pb thereafter. Finally, the sensitivity and specificity of each significant findings were calculated. The Chi-square test was used to compare the radiological findings between Group P and Group PP. RESULTS: In the Group PP, 73.7% of all ground-glass opacities (GGOs) and 80% of all multiple bilateral GGOs were detected (p < 0.001 and p = 0.25, respectively). Single bilateral GGOs were only seen among the Group PP. The Chi-square tests showed that the prevalence of diffused GGOs, multiple unilateral GGOs, multiple consolidations, and multiple bilateral consolidations were significantly higher in the Group P (p = 0.001, 0.01, 0.003, and 0.003, respectively). However, GGOs with irregular borders and single consolidations were more significant among the Group PP (p = 0.01 and 0.003, respectively). Of note, reticular distortions and subpleural spares were exclusively detected in the Group PP. CONCLUSION: We concluded that the criteria set by RSNA for the diagnosis of COVID-19 are not appropriate in trauma patients. The clinical signs and symptoms are not always useful either. The presence of multiple unilateral GGOs, diffused GGOs, and multiple bilateral consolidations favor COVID-19 with 88%, 97.62%, and 77.7% diagnostic accuracy.

Should we change our approach to resuscitating victims of femoral fracture? A clinical experience in a busy trauma hospital in Shiraz, Iran.

PURPOSE: Traumatic hemorrhagic shock is a life-threatening event worldwide. Severe brain trauma accompanying femoral fractures can trigger inflammatory responses in the body and increase pre-inflammatory cytokines such as TNF-α, IL-1. The primary treatment in these cases is hydration with crystalloids, which has both benefits and complications. The purpose of this study was to investigate the effects of fluid therapy on the hemodynamics, coagulation profiles, and blood gases in such patients. METHODS: In this cross-sectional study, patients were divided into two groups: femoral fracture group and non-femoral group. The hemodynamic status, coagulation profile, and blood gases of patients in both groups were evaluated upon arrival at the hospital and again 2 h later. Data were analyzed by t-test and ANOVA with repeated data and paired samples t-test. RESULTS: A total of 681 trauma patients (605 men and 76 women) participated in this study, including 69 (86.3%) men and 11 (13.8%) women in femoral fracture group and 536 men (89.2%) and 65 women (10.8%) in non-femoral group. The laboratory parameters were evaluated in response to the equal amount of crystalloid fluid given upon arrival and 2 h later. Blood gases decreased in the fracture group despite fluid therapy (p < 0.003), and the coagulation profile worsened although the change was not statistically significant. CONCLUSION: The treatment of multiple-trauma patients with femoral bone fractures should be more concerned with the need for the infusion of vasopressors such as norepinephrine. If there is evidence of clinical shock, excessive crystalloid infusion (limited to 1 L) should be avoided, and blood and blood products should be started as soon as possible.

Latent Phase Identification of High-Frequency Micro-Scale Gamma Spike Transients in the Hypoxic Ischemic EEG of Preterm Fetal Sheep Using Spectral Analysis and Fuzzy Classifiers.

Premature babies are at high risk of serious neurodevelopmental disabilities, which in many cases are related to perinatal hypoxic-ischemic encephalopathy (HIE). Studies of neuroprotection in animal models consistently suggest that treatment must be started as early as possible in the first 6 h after hypoxia-ischemia (HI), the so-called latent phase before secondary deterioration, to improve outcomes. We have shown in preterm sheep that EEG biomarkers of injury, in the form of high-frequency micro-scale spike transients, develop and evolve in this critical latent phase after severe asphyxia. Real-time automatic identification of such events is important for the early and accurate detection of HI injury, so that the right treatment can be implemented at the right time. We have previously reported successful strategies for accurate identification of EEG patterns after HI. In this study, we report an alternative high-performance approach based on the fusion of spectral Fourier analysis and Type-I fuzzy classifiers (FFT-Type-I-FLC). We assessed its performance in over 2520 min of latent phase EEG recordings from seven asphyxiated in utero preterm fetal sheep exposed to a range of different occlusion periods. The FFT-Type-I-FLC classifier demonstrated 98.9 ± 1.0% accuracy for identification of high-frequency spike transients in the gamma frequency band (namely 80-120 Hz) post-HI. The spectral-based approach (FFT-Type-I-FLC classifier) has similar accuracy to our previous reverse biorthogonal wavelets rbio2.8 basis function and type-1 fuzzy classifier (rbio-WT-Type-1-FLC), providing competitive performance (within the margin of error: 0.89%), but it is computationally simpler and would be readily adapted to identify other potentially relevant EEG waveforms.

Iron-Status Indicators and HFE Gene Polymorphisms in Individuals with Amyotrophic Lateral Sclerosis: An Umbrella Review of Meta-analyses and Systematic Reviews.

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the progressive loss of motor neurons. Recent meta-analyses and systematic reviews suggest that HFE gene polymorphisms and iron-associated biomarkers may play a key role in the risk and occurrence of ALS. This umbrella study aimed to explore the roles of HFE gene polymorphisms and iron-associated biomarkers in individuals with ALS. A thorough search of three online scientific databases, namely Scopus, Web of Science, and PubMed, was conducted from their inception until September 13, 2024. The screening and selection processes were executed based on the PICO framework and eligibility criteria, followed by two independent reviewers. The Assessment of Multiple Systematic Reviews (AMSTAR)-2 and GRADE tools were utilized to assess the methodological quality and the certainty of evidence. Through an advanced search, 101 records were retrieved, of which eight meta-analyses and systematic reviews were selected for this umbrella review. A significant increase in iron concentrations was found in individuals with ALS compared to healthy controls (SMD, 0.26; 95% CI - 0.05, 0.57). Conversely, selected meta-analyses reported that serum transferrin concentrations in ALS patients were lower compared to healthy controls (SMD, - 0.15; 95% CI - 0.36, 0.05). Furthermore, mutations in H63D polymorphisms resulted in a 13% significant increase in the risk of ALS (OR, 1.13; 95% CI 1.05, 1.22). Our umbrella study of meta-analyses and systematic reviews reveals that individuals with ALS have lower serum concentrations of transferrin compared to healthy controls. Additionally, the H63D polymorphism in the HFE gene is associated with a slight increase in the risk of ALS. Future research should investigate broader aspects of iron-related biomarkers and HFE genes to elucidate their roles in ALS pathogenesis. Registration: Our umbrella study was registered in the International Prospective Register of Systematic Reviews (PROSPERO) with the identification number CRD42024559032 ( https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024559032 ).

Screw Stimulation Thresholds for Neuromonitoring in Minimally Invasive Oblique Lateral Lumbar Interbody Fusion (OLLIF): A Correlational Study.

INTRODUCTION: This study presents findings from an investigation into the correlation of neuromonitoring techniques in minimally invasive lumbar fusions and their open counterparts regarding acceptable thresholds for screw stimulation. The threshold for acceptable stimulation value for open surgery has been established. The study compared acceptable thresholds for open pedicle screws where there is more connection between the screw and the soft tissue. METHODS: The neuromonitoring data of 17 patients who underwent oblique lateral lumbar interbody fusion (OLLIF) procedures between September 2023 to May 2024 were reviewed. Neuromonitoring was conducted throughout surgeries, recording stimulation thresholds for pedicle screws insulated and uninsulated, to simulate the environment of a screw during open and minimally invasive surgery respectively. Patients' BMI was also collected for potential correlation analysis. RESULTS: Results indicate a discernible correlation between stimulation thresholds in open and minimally invasive surgeries, but no definitive correlation with BMI due to sample size limitations. Though a significant correlation between the two stimulating styles is apparent, there is a good correlation to suggest what threshold should determine a standard stimulation threshold for minimally invasive surgeries. CONCLUSION: The study emphasizes the need for refined neuromonitoring strategies in minimally invasive spinal fusion (MISF) surgeries to ensure patient safety and surgical effectiveness. Further research with larger cohorts is recommended to establish optimized protocols that have a clearly defined amplitude for MISF thresholds.

Effects of coffee and tea consumption on glioma risk: An umbrella review of systematic reviews and meta-analyses.

BACKGROUND: Coffee and tea are considered to have some effects on the risk of glioma as one of the most prevalent intracranial malignant tumors in adults. However, the precise effect of coffee and tea consumption on glioma is not obvious. This umbrella review aimed to evaluate the impact of tea and coffee consumption on glioma risk. METHODS: Three online databases containing Scopus, Web of Science, and PubMed were thoroughly searched from the beginning to February 23, 2024 with no language constraints. Relying on I2 and Q statistics, a random-effect model or a fixed-effect model was applied. The PICO structure was followed as Population (Patients with glioma), Intervention (Coffee and tea consumption), Comparison (Standard treatment or placebo), and Outcome (Risk of glioma). RESULTS: Totally, seven meta-analyses and systematic reviews contain 23,591 patients were included in this umbrella review. Coffee and tea consumption led to significant 15% and 16% reductions in glioma risk, respectively (RR = 0.85; 95% CI: 0.74, 0.98; RR = 0.84; 95% CI: 0.79, 0.89). The results did not change after subgroup analyses. CONCLUSION: This umbrella review revealed that the coffee and tea consumption may decrease the glioma risk. Consumption of tea and coffee may be considered as dietary strategies against glioma. PROSPERO REGISTRATION CODE: CRD42024521525.

Shining a Light on Trace Elements: A Systematic Review and Meta-analysis of Serum Concentrations in Febrile seizure.

Febrile seizures (FS) are a common occurrence in pediatric patients and are typically triggered by high fevers above 100.4°F (38°C), often associated with viral or bacterial infections such as respiratory or gastrointestinal infections. Recent research suggests that the serum concentration of trace elements may play a role in the occurrence of FS. This study aimed to assess the association between serum levels of trace elements and FS in pediatric patients. A comprehensive search of four databases, including Scopus, Web of Science, PubMed, and Google Scholar, was conducted up to February 2024. The study followed the PICO structure, focusing on the Population (pediatric patients with FS), Intervention (serum concentrations of selenium, zinc, magnesium, and copper), Comparison (with or without controls), and Outcome (occurrence of FS). The methodological quality of the included observational studies was assessed using the Newcastle-Ottawa Scale (NOS) tool. Out of a total of 168 papers, 37 met the inclusion criteria for this meta-analysis, covering studies published between 2018 and 2023. Lower serum zinc levels were observed in pediatric patients with FS compared to control groups (SMD: -1.25, 95% CI: -1.47, -1.03). Conversely, higher serum copper levels were found in control groups compared to those with FS (SMD: 0.43, 95% CI: 0.04, 0.82). Additionally, lower serum magnesium levels were detected in the FS group compared to controls (SMD: -0.76, 95% CI: -1.57, 0.05), while serum selenium levels were approximately two times lower in the FS group than in controls (SMD: -2.23, 95% CI: -2.76, -1.70). Our meta-analysis suggests that pediatric patients with FS have lower serum concentrations of trace elements compared to controls. Further research is warranted to elucidate the potential role of trace elements in the pathogenesis of FS. This meta-analysis and systematic review was registered in the International prospective register of systematic reviews (PROSPERO ID: CRD42024519163). Registry URL: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024519163 registry number: CRD42024519163.

Phenotypic approaches for CNS drugs.

Central nervous system (CNS) drug development is plagued by high clinical failure rate. Phenotypic assays promote clinical translation of drugs by reducing complex brain diseases to measurable, clinically valid phenotypes. We critique recent platforms integrating patient-derived brain cells, which most accurately recapitulate CNS disease phenotypes, with higher throughput models, including immortalized cells, to balance validity and scalability. These platforms were screened with conventional commercial chemogenomic compound libraries. We explore emerging library curation strategies to improve hit rate and quality, and screening novel fragment libraries as alternatives, for more tractable drug target deconvolution. The clinically relevant models used in these platforms could harbor important, unidentified drug targets, so we review evolving agnostic target deconvolution approaches, including chemical proteomics and artificial intelligence (AI), which aid in phenotypic screening hit mechanism elucidation, thereby facilitating rational hit-to-drug optimization.

Unveiling the veil of adipokines: A meta-analysis and systematic review in amyotrophic lateral sclerosis.

BACKGROUND: Adipokines are proposed to be associated with ALS progression through assorted pathways. Therefore, The present meta-analysis explored the link between various adipokines and ALS progression. METHOD: International database like PubMed, Scopus, and Web of Science databases were searched to achieve eligible papers published before December 2023. The following PICO structure was utilized: Population (patients with ALS); Intervention (serum concentrations of ghrelin, leptin, and adiponectin), Comparison (with or without controls), and Outcome (ALS progression). the risk of bias of selected papers was assessed through the Newcastle-Ottawa Scale (NOS) tool. RESULTS: 11 out of 240 papers were selected for this study which were published between 2010 and 2024. Lower serum leptin concentrations were detected in the ALS compared to control groups (WMD: -0.91, 95% CI:-1.77, -0.05). Serum concentrations of adiponectin were higher in ALS compared to control groups (WMD: 0.41, 95% CI:-0.7, 0.89). Ultimately, The serum concentrations of ghrelin in the ALS groups were lower than control groups (WMD: -1.21, 95% CI: -2.95, 0.53). CONCLUSION: Our findings revealed that serum concentrations of ghrelin and leptin were higher in ALS patients compared to control, unlike adiponectin.

The Link Between Vitamin D and the Risk of Aneurysmal Subarachnoid Hemorrhage: A Systematic Review.

BACKGROUND: Vitamin D (VD) is one of the fat-soluble vitamins proposed to be associated with aSAH. According to the clinical evidence, this investigation explores the link between VD concentrations and clinical outcomes in aSAH patients. METHODS: This systematic review was executed based on the PRISMA 2020 statement. Observational studies that evaluated the serum VD concentrations in aSAH patients were considered as included articles. Review articles, case reports, letters, commentaries, non-English papers, and conference abstracts were excluded. Five online databases-Scopus, PubMed, Web of Science, Embase, and Ovid-were searched up to November 23, 2023, and based on the Newcastle-Ottawa Scale, the risk of bias was assessed. RESULTS: Out of 383 articles initially identified, eventually 7 studies were included in the systematic review. These studies were conducted between 2016 and 2023 and included a total of 333,907 patients. The varying results suggest that VD may impact clinical outcomes in aSAH patients. CONCLUSIONS: This study highlights the complex association between VD concentration and the risk of aSAH. The observed inconsistencies in study outcomes suggest that the relationship between VD and aSAH is multifaceted and may be influenced by various factors, including study population, geographical location, and methodological approach.

Deep Learning for Generalized EEG Seizure Detection after Hypoxia-Ischemia-Preclinical Validation.

Brain maturity and many clinical treatments such as therapeutic hypothermia (TH) can significantly influence the morphology of neonatal EEG seizures after hypoxia-ischemia (HI), and so there is a need for generalized automatic seizure identification. This study validates efficacy of advanced deep-learning pattern classifiers based on a convolutional neural network (CNN) for seizure detection after HI in fetal sheep and determines the effects of maturation and brain cooling on their accuracy. The cohorts included HI-normothermia term (n = 7), HI-hypothermia term (n = 14), sham-normothermia term (n = 5), and HI-normothermia preterm (n = 14) groups, with a total of >17,300 h of recordings. Algorithms were trained and tested using leave-one-out cross-validation and k-fold cross-validation approaches. The accuracy of the term-trained seizure detectors was consistently excellent for HI-normothermia preterm data (accuracy = 99.5%, area under curve (AUC) = 99.2%). Conversely, when the HI-normothermia preterm data were used in training, the performance on HI-normothermia term and HI-hypothermia term data fell (accuracy = 98.6%, AUC = 96.5% and accuracy = 96.9%, AUC = 89.6%, respectively). Findings suggest that HI-normothermia preterm seizures do not contain all the spectral features seen at term. Nevertheless, an average 5-fold cross-validated accuracy of 99.7% (AUC = 99.4%) was achieved from all seizure detectors. This significant advancement highlights the reliability of the proposed deep-learning algorithms in identifying clinically translatable post-HI stereotypic seizures in 256Hz recordings, regardless of maturity and with minimal impact from hypothermia.

Simultaneous acute portal vein thrombosis and ST elevation myocardial infarction in a Covid-19 patient - Case report.

Background: Covid-19 infected patients without any risk factors and family history of a thrombotic event can be still at risks of developing thrombotic and/or other Covid-19-related complications, and therefore, there is a substantial need to study such cases. Case presentation: In this study, we present a 60-years-old Covid-19 patient with mild symptoms who was admitted to the hospital with simultaneous arterial and venous thrombotic event, with chief complaint of chest pain and vague abdominal pain. The patient was diagnosed with Covid-19 two weeks before admission to the ICU. A 12-lead electrocardiogram revealed pathologic Q-wave ST-segment elevation and T-wave inversion in II, III, aVF, and T inversion in V5 and V6. Quantitative troponin was elevated which confirmed inferior ST-elevation MI. Abdominal color Doppler sonography and CT scan with contrast demonstrated an absent flow in the portal vein and thrombosis. A chest CT scan illustrated a normal pattern. We started IV unfractionated heparin (UFH), dual antiplatelet, beta-blocker, statin, intravenous nitrate, and angiotensin-converting enzyme inhibitor. Coronary angiography showed the right coronary artery was totally cut off at the proximal part.Here we report three main un-common characteristics associated with our patient compared to other similar studies. First, the thrombotic event in our case occurred without pulmonary involvement and the patient only had a flu-like symptom two weeks before admission. The second main difference is that the patient's arterial and venous thrombotic events had simultaneously happened, which is not common in most cases. Patient presented simultaneous portal vein thrombosis and recent ST-segment elevation Myocardial Infarction (MI). Finally, both MI and portal vein thrombosis symptoms were subtle and confusing, which could cause misdiagnosis. A post two-weeks color Doppler sonography follow-up showed portal vein thrombosis recanalization and myocardial perfusion scan had no viability and reversible ischemia in RCA territory. Conclusions: This report addresses that a cautious diagnosis of Covid-19 at the time of admission can play a vital role in preventing cardiovascular events; where even asymptomatic to mildly infected patients could be still at higher risks of developing clinical complications (e.g., thrombotic events).

2D Wavelet-Scalogram Deep-Learning for Seizures Pattern Identification in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep.

Neonatal seizures after an hypoxic-ischemic (HI) event in preterm newborns can contribute to neural injury and cause impaired brain development. Preterm neonatal seizures are often not detected or their occurrence underestimated. Therefore, there is a need to improve knowledge about preterm seizures that can help establish diagnostic tools for accurate identification of seizures and for determining morphological differences. We have previously shown the superior utility of deep-learning algorithms for the accurate identification and quantification of post-HI microscale epileptiform transients (e.g., gamma spikes and sharp waves) in preterm fetal sheep models; before the irreversible secondary phase of cerebral energy failure starts by the bursts of high-amplitude stereotypic evolving seizures (HAS) in the signal. We have previously developed successful deep-learning algorithms that accurately identify and quantify the micro-scale transients, during the latent phase. Building up on our deep-learning strategies, this work introduces a real-time deep-learning-based pattern fusion approach to identify HAS in the 256Hz sampled post-HI data from our preterm fetuses. Here, for the first time, we propose a 17-layer deep convolutional neural network (CNN) classifier fed with 2D wavelet-scalogram (WS) images of the EEG patterns for accurate seizure identification. The WS-CNN classifier was cross-validated over 1812 manually annotated EEG segments during ~6 to 48 hours post-HI recordings. The classifier accurately recognized HAS patterns with 97.19% overall accuracy (AUC = 0.96).Clinical relevance-The promising results from this preliminary work indicate the ability of the proposed WS-CNN pattern classifier to identify HI-related seizures in the neonatal preterm brain using 256Hz EEG; the frequency commonly used clinically for data collection.

Emergency medical services preparedness in mass casualty incidents: A qualitative study.

Background and Aims: The effective response of emergency medical services in mass casualty incidents (MCIs) calls for sufficient preparation. The components of preparation must be determined first to achieve this goal. This study aimed to describe the elements of preparedness of emergency medical services for MCIs. Methods: A qualitative study was carried out on emergency medical service systems in Iran (from April 2022 to mid-March 2023), using in-depth semistructured interviews with participants who were managers and members of the incident command team, experts, technicians, paramedics, and telecommunicators of emergency medical services. Interviews were carried out face-to-face and via telephone. The data were collected using voice recorder and transcript and analyzed by content analysis method. This study was conducted using the consolidated criteria for reporting qualitative research. Results: Thirty-six participants were included in the study. A total of 834 codes were analyzed. Thirteen components were extracted from the study and classified as five categories including "Strengthening management and organization," "individual and group empowerment," "capacity expansion," "technology and infrastructure development," and "operational response measures." Conclusion: Emergency medical service preparedness in response to MCIs is a critical issue. For improving preparedness, the main components must be identified. The study results described the elements of emergency medical service preparedness, which could be used as a framework for developing the national model of emergency medical service preparedness in MCIs.

Emergency medical services preparedness in mass casualty incidents: A systematic review.

OBJECTIVE: The role of emergency medical services (EMS) preparedness in mass casualty incidents (MCIs) is crucial. MCIs are increasing worldwide, and EMS must enhance preparedness for them. For this purpose, the main components of EMS preparedness should be identified. This study aimed to describe the components of EMS preparedness in response to MCIs. DESIGN AND SETTING: This systematic review was conducted based on the Preferred Reporting Item for Systematic Reviews and Meta-analyses guideline. The articles published from January 1970 to February 2022 were searched to discover the main components of EMS preparedness in MCIs. The electronic databases including PubMed, Cochrane Library, Scopus, Science Direct, and ProQuest were searched using predetermined keywords. Ten articles were selected and included in this review. RESULTS: After reviewing the articles, we identified the components of EMS preparedness in MCIs. Accordingly, 16 main components were extracted and classified into four categories, ie, individual improvement, group improvement, resources, and operations. CONCLUSION: MCIs are so complicated that they require adequate prehospital preparedness. This study described the components of EMS preparedness in MCIs. The authorities in EMS will benefit from this framework in planning and responding to MCIs.

Effectiveness of online practical education on vaccination training in the students of bachelor programs during the Covid-19 pandemic.

BACKGROUND: The importance of immunization and the necessity of achieving the goals of the immunization expansion plan and the critical role of undergraduate public health students in attaining these goals in the Covid-19 pandemic is evident. The present study aimed at investigating the effectiveness of using online educational videos on practical learning of vaccination in the apprenticeship stage during covid-19 pandemic: a randomized controlled trial. MATERIAL AND METHODS: This experimental study was conducted on 120 students (60 interventions and 60 control groups) at Hamadan University of Medical Sciences during 2019-2020. The intervention included training vaccination skills through educational videos based on self-efficacy theory, which was conducted for two weeks each week in two sessions of two hours for the intervention group using an educational video. A researcher-made questionnaire and a performance checklist were used to collect data. Data were analyzed using SPSS-16 software. Paired t-test, independent t-test, and Chi-square. RESULTS: The mean age of the subjects was 22.41 years, and most of the participants were female students (80%). There were statistically significant differences between the intervention and control groups regarding knowledge (19.17±0.92 vs. 16.03±3.00; P<0.001), self-efficacy (40.84±3.71 vs 33.45±4.83; P = 0.01), attitude (22.56±2.95vs 20.28±3.25; P = 0.01) and performance (27.92±6.00 vs 22.38±5.40; P = 0.01) after the intervention. CONCLUSION: According to the findings of this study, the use of educational videos for undergraduate students of public health during the apprenticeship period has a positive effect on the practical learning of vaccination. However, it seems that in non-critical times, online education along with face-to-face education will be more effective for practical training.