Marginal Artery of Drummond Pseudoaneurysm Masquerading as Fistulous Tract Resulting in Recurrent Lower Gastrointestinal Bleeding

Introduction: The mortality rate of patients hospitalized with a lower gastrointestinal bleed has been reported at 1.1% in the United States from 2005 to 2014. Pseudoaneurysms, typically associated with pancreatitis, have been described in case reports as a rare condition with a small subset presenting as gastrointestinal bleeding. Our study describes a rare case of recurrent lower gastrointestinal bleeding diagnosed as a pseudoaneurysm by endoscopy and angiography. Case Description/Methods: A 38-year-old male presented to our facility from a long-term care facility with hematochezia and blood clots per gastrostomy-jejunostomy. He had recently been hospitalized for severe coronavirus disease 2019 with a complicated hospital course in the intensive care unit including necrotizing pancreatitis with an abdominal drain, multiple secondary infections, tracheostomy, and percutaneous endoscopic gastrostomy-jejunostomy. On previous hospitalization, he was found to have a small pseudoaneurysm of the gastroduodenal artery and received embolization of the gastroduodenal and gastroepiploic arteries at that time. During transport to our hospital, he was noted to have tachycardia, hypotension requiring norepinephrine, and was transfused one unit of red blood cells. Hemoglobin at this time was 7.5 g/dl after transfusion. Esophagogastroduodenoscopy was completed and showed a gastrojejunostomy tube in the expected location but was noted to be tight to the mucosa, which was pale in appearance. Flexible sigmoidoscopy revealed localized areas of edematous and erythematous mucosa with some associated oozing throughout the sigmoid colon. Repeat evaluation was completed one week later due to recurrent hematochezia. Colonoscopy was performed with identification of an apparent fistulous tract in the sigmoid colon located at 35 cm. Computed tomography angiography localized a pseudoaneurysm arising from the marginal artery of Drummond just proximal to its anastomosis with the ascending branch of the left colic artery and was successfully embolized. Discussion(s): Pseudoaneurysms, such as the one described in this case, have been shown to be associated with pancreatitis and can result if a pseudocyst involves adjacent vasculature. Gastrointestinal bleeding is a rare presentation of this condition. However, this case highlights the importance of repeat colonoscopy and angiography in the setting of a lower gastrointestinal bleed of unknown etiology.

Application of Neoaortoiliac System For Contained Rupture of Mycotic Infrarenal Aortic Aneurysm

Funding: None. Synopsis: 61-year-old male who initially presented to an outside facility with streptococcal pneumoniae meningitis and bacteremia. Of note, he had history of COVID-19 pneumonia a month prior. On hospital day 15, he reported sudden onset lower back pain prompting imaging which demonstrated a contained rupture of an infrarenal aortic aneurysm that had significantly evolved in comparison to admission imaging where his infrarenal aorta had the largest dimension measuring 2.9cm. We present the successful application of neoaortoiliac system (NAIS). Method(s): Proceeding with midline laparotomy we encountered dense adhesive disease due to his history of surgery for colon cancer. After adhesiolysis, we exposed the aorta and aneurysm with severe surrounding inflammatory changes. 20cm of femoral vein was harvested, reversed, and joined for a span of 4cm using an Endo GIA 45mm vascular load to create our neoaorta. Proximal and distal clamp zones were developed. Upon entering the aneurysm, a foul smell was encountered, revealing that the noxious process had destroyed the posterior wall of the aorta and paraspinal tissues. Our neoaorta was anastomosed in end-to-end fashion to the infrarenal aorta and subsequently to the common iliac arteries. Flow was initially restored to the hypogastric arteries and then the external iliac arteries. The retroperitoneum was closed over our repair and covered with omentum. Result(s): On post-operative day 2, he had hematochezia;intraoperatively, the IMA was noted to be 1mm in size, though had brisk back-bleeding and was ultimately ligated. A flexible sigmoidoscopy revealed ischemic sloughing of the sigmoid colon near his previous anastomosis from his colon cancer resection though no transmural necrosis. He remains on high-dose ceftriaxone to complete a 6-week course and metronidazole for 10 days due to his sigmoid mucosal ischemia per infectious disease recommendations. He is now post-operative day 10 and remains in the ICU. Conclusion(s): Mycotic aortic aneurysms constitute 1-1.8% of aortic aneurysms. The standard of treatment is aggressive debridement of involved aortic wall and periaortic tissue, in-situ or extra-anatomic reconstruction, coverage with an omental flap and long-term antibiotic therapy. NAIS is resistant to infection and aneurysmal dilation, however, is a time-consuming procedure with a mean completion time of 8 hours. Dorweiler et al. demonstrated that vascular reconstruction with femoral vein in infected aortoiliofemoral fields has a mortality of 9-10% with negligible rate of late complications (graft stenosis, thrombosis, and dilation) and that venous morbidity after femoral vein harvest is well tolerated. Clagett et al. demonstrated that NAIS fashioned from greater saphenous vein had a failure rate requiring intervention of 64% compared to 0% for those constructed with deep femoral vein. Lastly, it is important to note that our patient was previously COVID-19 positive. This case demonstrates that the sequela of COVID-19 may have been a significant factor in our patient's pathophysiology. As we continue to learn about the effects of COVID-19 on vascular pathology, we must keep a large repertoire of operative techniques at hand in order to treat complex presentations of vascular emergencies. [Formula presented] [Formula presented] [Formula presented] Institution: Orlando Health, Orlando, FLCopyright © 2022

Appendicular flap transposition in case of the left ureters defects

Introduction & Objectives: The frequency of involvement in the oncological process of the ureters in case of pelvis tumors ranges from 15 to 20%. The use of the appendix as a plastic material for the reconstruction of extended ureteral defects (EUD), including left-sided ones, remains debatable. The main goal of this study is evaluating the clinical and functional results after EUD repair using patchy transposition of the appendix. Material(s) and Method(s): Since August 2019 to June 2021, 8 laparoscopic surgeries were performed to replace the EUD using flap transposition of the appendix. Of these, 6 on the left (75%), 2 on the right (25%). 7 women (87.5%) and 1 man (12.5%) were operated on. Mean age 53+/-10.6 years. Average BMI 25.9 kg/m2. Etiology EUD: 25% radiotherapy (n2), 50% iatrogenic surgery (n4), 12.5% (n1) primary ureteral cancer, 12.5% (n1) non-Hodgkin's lymphoma. In all cases, the first stage was a wide mobilization of the ileocecal angle, the appendix was disconnected with a 45 mm hardware suture, in case of left-sided lesion, the appendix was moved isoperistaltically under the mesentery of the sigmoid colon to the left side after preliminary maximum mobilization of the process on the vascular pedicle in the form of a "triangle". All patients received a 7Fr ureteral stent. CT urography was performed on the 3rd, 7th, 11th days. Dynamic nephroscintigraphy was performed on the 90th day. Result(s): The average length of diastasis is 4.6+/-1.7 cm. The average length of the mobilized appendix was 8+/-1.8 cm. Replacement of the ureter with an appendix and a flap of the bladder according to the Demel method was performed in 1 case (12.5%), according to the Boari method in 1 case (12.5%), in 6 (75%) cases an anastomosis was formed according to the "end-to-end" type. the end". The average duration of the operation was 251+/-40.9 min, blood loss was 121+/-56.7 ml. Median removal of the ureteral stent was 36+/-18.28 days. Duration of hospital stay was 14+/-5.2 days. Median follow-up 10+/-5.3 months. Early complications (<30 days): 2 cases of urinary edema (Clavien-Dindo II), 2 cases of ipsilateral hydronephrosis (Clavien-Dindo I-II). Late complications (>30 days): 1 case of partial failure of ureterocystoanastomosis against the background of Sars-Cov-2 infection (Clavien-Dindo IIIa), 1 case of non-functioning left kidney (Clavien-Dindo IVa). Dynamic nephroscintigraphy was performed in 68.4% of patients, the average isotope accumulation time was 4.23+/-0.25 minutes, the duration of the half-life was 14.26+/-0.52 minutes. Conclusion(s): Flap transposition with the appendix is a technically difficult but possible option for extended ureteral strictures. However, various pathological processes that have developed against the background of previous treatment potentially increase the risk of developing repeated strictures or anastomotic leaks. Therefore, given the small sample of patients, further research on this issue is required.Copyright © 2023.

Case report: Spontaneous pneumomediastinum (SPM) and intestinal perforation secondary to COVID-19 in the same patient

Case History:A 73-year old male patient with Hypertensive Cardiomyopathy, pulmonary emphysema, dyslipidemia,presented to our Pulmonary Department for COVID-19 pneumonia associated with respiratory failure. He was started on medical therapy and high flow oxygen reduced during hospitalization,he was not treated with noninvasive ventilation. During hospitalization,he developed before SPM,showed chest CT scan,and we achieved good results with conservative management, consisting of bed rest with oxygen inhalation or supportive pain control. After ten days,as the patient complained of continued abdominal pain, computed tomography(CT)abdomen was ordered and revealed sigmoid colonic diverticular and intestinal perforation. He underwent to resected sigmoid colon but few days after surgery the patient died. Spontaneous pneumomediastinum (SPM),unrelated to positive pressure ventilation and intestinal perforation (IP)have been recently reported as an unusual complications in cases of COVID19 pneumonia. For SPM, the presumed pathophysiological mechanism is diffuse alveolar injury leading to alveolar rupture and air leak, for GP is unclear,the perforation could result from altered colonic motility due to neuronal damage in addition to local ischemia resulting from hypercoagulable state caused by the virus. We present a case of COVID-19 pneumonia complicated both SPM and IP in the same patient,not yet described in literature. On this basis,we believe it is vital to institute SARS-CoV-2 precautions in patients who present with either respiratory or gastrointestinal symptoms,therefore high index of suspicion is needed to further manage those patients and,thus,improve their outcome.

An Early Risk Prediction against Covid -19 Based On Adaptive Surf Scale Feature Selection and Sigmoid Recurrent Neural Network for Premature Precaution before Covid Second Wave

The development of new technologies, human nature, and food activities are completely against with nature in recent days. Due to this uncertainty, the new pandemic covid-19 has outbreak globally and spoiledthe human life. In this situation, the disease also has improved as a new modified version of influenza like Covid 19 (2.0). So, the Analysis of features becomes mandatory to identify the diseases based on big data analysis. Similarly, most people suffering from diabetes could not have a correct prediction to take proper treatments. Many health care suggestions and treatment handling methods do not predict the right information at the correct time to make a diagnosis. There is no premature process for the treatment based on non-predicted results. Hence, an Adaptive Surf Scale Feature Selection (SSFS) and Sigmoid Recurrent Neural Network Classification (SRNN) is proposed for improving the early risk prediction against the covid. Initially, preprocessing is carried out to verify the records. Then, future selection is carried out using the surf scale weightage factor, which analyzes the Covid Influence Rate (CIR) and the marginal weight is identified. Each identified weight is ruled into Inter Class Sigmoid Function (ICSF) to activate the iteration recurrent neural network. Finally, the classifier trains the features into a feed-forward layer to produce the classified result. The proposed system produces high performance compared to the previous system as well as recommendations for premature diagnoses.Copyright © 2020 Ubiquity Press. All rights reserved.

Transjugular Approach for Recurrent Intracranial Glomus Vagale Tumors: An Ideal Approach to Preserve Hearing and Facial Nerve Function

Lateral skull base paragangliomas (glomus tumors) are rare skull base tumors arising from neuroendocrine cells. These benign tumors can be locally aggressive with potential for intracranial extension and significant morbidity as they compromise cranial nerve structures. Treatment is highly patient dependent. Herein, we present a case of recurrent glomus vagale paraganglioma requiring a multidisciplinary transjugular and transcervical approach for complete resection. A 64-year-old male was referred to the neurotology clinic in 2019 for a left skull base tumor causing progressive dysphonia and dysphagia. Exam revealed left true vocal fold weakness and no other abnormalities. Hearing was normal on the left. Magnetic resonance imaging (MRI) revealed a large hyperintense lesion of the left jugular foramen with intracranial cerebellopontine angle extension and normal flow through the sigmoid sinus and jugular vein. The patient elected for surgical removal and near-total resection was achieved via retrosigmoid craniotomy. A small portion was intentionally left in the jugular foramen to preserve the intact eleventh cranial nerve, internal jugular vein, and sigmoid sinus. Surgical pathology confirmed glomus paraganglioma. Postoperative radiation was strongly recommended, but the patient was lost to follow-up due to the COVID-19 pandemic. The patient re-presented in late 2021 with worsened dysphonia and dysphagia. Exam confirmed left true vocal fold immobility consistent with vagal nerve paralysis and a new finding of left tongue weakness consistent with hypoglossal nerve injury. MRI revealed recurrence of the lesion to dimensions larger than original presentation and complete occlusion of the sigmoid-jugular system. Hearing and facial nerve function remained fully intact, thus a transjugular approach with hearing preservation and complete surgical resection was utilized. After combined retrosigmoid and transcervical incision, the transjugular approach was utilized to resect the sigmoid sinus, the tumor of the jugular foramen, and the intracranial extension. The ear canal and facial nerve canal were preserved. The sigmoid sinus was ligated with surgical clips and the jugular vein was ligated with suture thread. Intracranially, the hypoglossal nerve was identified and preserved, and the vagus nerve was seen eroded by tumor. Pathology confirmed recurrent paraganglioma. Postoperatively, the patient recovered well but continues to endorse persistent dysphonia. His treatment plan includes radiation and thyroplasty. Multiple surgical approaches for the treatment of skull base paragangliomas have been reported including infratemporal types A to D, among others. This report identifies a rare case of recurrent paraganglioma which necessitated removal via transjugular approach. While uncommon in skull base surgery, this approach allowed identification and preservation of important neck and skull base structures (e.g., facial nerve, ear canal, spinal accessory nerve) while achieving complete gross resection. Radiation techniques have become popular alternatives for treatment of glomus tumors of the skull base due to high levels of surgery-related adverse events. Thus, skull base surgeons should be aware of the utility of the transjugular surgical technique for patients with intact hearing and facial nerve function who seek removal of intracranial jugular foramen tumors.

Artificial Neural Networks for the Prediction of Monkeypox Outbreak.

While the world is still struggling to recover from the harm caused by the widespread COVID-19 pandemic, the monkeypox virus now poses a new threat of becoming a pandemic. Although it is not as dangerous or infectious as COVID-19, new cases of the disease are nevertheless being reported daily from many countries. In this study, we have used public datasets provided by the European Centre for Disease Prevention and Control for developing a prediction model for the spread of the monkeypox outbreak to and throughout the USA, Germany, the UK, France and Canada. We have used certain effective neural network models for this purpose. The novelty of this study is that a neural network model for a time series monkeypox dataset is developed and compared with LSTM and GRU models using an adaptive moment estimation (ADAM) optimizer. The Levenberg-Marquardt (LM) learning technique is used to develop and validate a single hidden layer artificial neural network (ANN) model. Different ANN model architectures with varying numbers of hidden layer neurons were trained, and the K-fold cross-validation early stopping validation approach was employed to identify the optimum structure with the best generalization potential. In the regression analysis, our ANN model gives a good R-value of almost 99%, the LSTM model gives almost 98% and the GRU model gives almost 98%. These three model fits demonstrated that there was a good agreement between the experimental data and the forecasted values. The results of our experiments show that the ANN model performs better than the other methods on the collected monkeypox dataset in all five countries. To the best of the authors' knowledge, this is the first report that has used ANN, LSTM and GRU to predict a monkeypox outbreak in all five countries.

Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays.

Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Diagnosis of Computed Tomography (CT), and Chest X-rays (CXR) contains the problem of overfitting, earlier diagnosis, and mode collapse. In this work, we predict the classification of the Corona in CT and CXR images. Initially, the images of the dataset are pre-processed using the function of an adaptive Gaussian filter for de-nosing the image. Once the image is pre-processed it goes to Sigmoid Based Hyper-Parameter Modified DNN(SHMDNN). The hyperparameter modification makes use of the optimization algorithm of adaptive grey wolf optimization (AGWO). Finally, classification takes place and classifies the CT and CXR images into 3 categories namely normal, Pneumonia, and COVID-19 images. Better accuracy of 99.9% is reached when compared to different DNN networks.

Overview of the Market of Electric Cars by Multilogistic Curves

Sigmoid functions (growth function, logistic function, evolution function, etc.) are used to describe, study and forecast several phenomena of the life. In some cases (for example, in case of the COVID-19 disease), the phenomenon has several waves, which needs to apply multilogistic (multiwave logistic) curves in order to perform realistic investigation. In product design, the logistic curve can describe the lifecycle of a product. A product lifecycle can be finished by the significant decrease of the market, but in some cases, several new developments and innovations can regenerate the increase of the market by starting a new boom. This renewing process can invoke several waves of the phenomenon, which will make necessary the application of multilogistic curves for the correct study. This multiwave behaviour of the product lifecycle makes this phenomenon very similar to the time history of the COVID-19 disease which also has several waves, because of the newer and newer virus variants. Analysis and comparison of several phenomena described by logistic curves, or bi- logistic, tri- logistic or multilogistic curves can be made easier by the application of the EBSYQ (Evolutionary Based SYstem of Qualification and comparison of group achievements) comparison and qualification system. The similarity between the multiwave characteristics of the product lifecycle and coronavirus time history makes possible to apply several results, skills and methods of comparison and investigation, which were developed and used previously during the analysis of several waves of the disease also for the case of product lifecycle analysis. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Temporal dynamic characteristics of human monkeypox epidemic in 2022 around the world under the COVID-19 pandemic background.

Background: The reemergence of the monkeypox epidemic has aroused great concern internationally. Concurrently, the COVID-19 epidemic is still ongoing. It is essential to understand the temporal dynamics of the monkeypox epidemic in 2022 and its relationship with the dynamics of the COVID-19 epidemic. In this study, we aimed to explore the temporal dynamic characteristics of the human monkeypox epidemic in 2022 and its relationship with those of the COVID-19 epidemic. Methods: We used publicly available data of cumulative monkeypox cases and COVID-19 in 2022 and COVID-19 at the beginning of 2020 for model validation and further analyses. The time series data were fitted with a descriptive model using the sigmoid function. Two important indices (logistic growth rate and semi-saturation period) could be obtained from the model to evaluate the temporal characteristics of the epidemic. Results: As for the monkeypox epidemic, the growth rate of infection and semi-saturation period showed a negative correlation (r = 0.47, p = 0.034). The growth rate also showed a significant relationship with the locations of the country in which it occurs [latitude (r = -0.45, p = 0.038)]. The development of the monkeypox epidemic did not show significant correlation compared with the that of COVID-19 in 2020 and 2022. When comparing the COVID-19 epidemic with that of monkeypox, a significantly longer semi-saturation period was observed for monkeypox, while a significant larger growth rate was found in COVID-19 in 2020. Conclusions: This novel study investigates the temporal dynamics of the human monkeypox epidemic and its relationship with the ongoing COVID-19 epidemic, which could provide more appropriate guidance for local governments to plan and implement further fit-for-purpose epidemic prevention policies.

A deterministic model for the inventory policy of countries for procurement of vaccines.

The countries are the units that procure the vaccines during the COVID-19 pandemic. The delivered quantities are huge. The countries must bear the inventory holding cost according to the variation of stock quantities. This cost depends on the speed of the vaccination in the country. This speed is time-dependent. The vaccinated portion of the population can be approximated by the cumulative distribution function of the Cauchy distribution. A model is provided for determining the minimal-cost inventory policy and its optimality conditions are provided. The model is solved for 20 countries for different numbers of procurements. The results reveal the individual behavior of each country.

Mapping First to Third Wave Transition of Covid19 Indian Data via Sigmoid Function

Understanding first and second wave of covid19 Indian data along with its few selective states, we have realized a transition between two Sigmoid pattern with twice larger growth parameter and maximum values of cumulative data. As a result of those transition, time duration of second wave shrink to half of that first wave with four times larger peak values. Realizing first and second wave Sigmoid pattern due to covid19 virus and its mutated variant— δ virus respectively, third wave was mapped by another Sigmoid pattern with three times larger growth parameter than that of first wave. After understanding the crossing zone among first, second and third wave curves due to covid19, δ and omicron respectively, a hidden Sigmoid pattern due to mutated δ+ virus is identified in between δ and omicron. It is really interesting that entire covid19 data of India can be easily (offcourse grossly) understood by simple algebraic expressions of Sigmoid function and we can identify 4 Sigmoid patterns due to covid19 virus and its 3 dominant variants. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

DRUG-INDUCED PNEUMONITIS IN THE SETTING OF SARS-COV-2 INFECTION

SESSION TITLE: Drug-Induced and Associated Critical Care Cases Posters 1 SESSION TYPE: Case Report Posters PRESENTED ON: 10/19/2022 12:45 pm - 01:45 pm INTRODUCTION: Interstitial pneumonitis (ILD) is inflammation of lung interstitium leading to scarring and pulmonary fibrosis. Various etiologies include idiopathic, connective tissue disorders, sarcoidosis and drug induced1. Many chemotherapy agents have been implicated in drug related ILD such as bleomycin, taxanes. However, newer chemotherapeutic drugs such as molecular agents such as anti-VEGF, anti-EGFR (panitumumab) could be causative of drug induced ILD. CASE PRESENTATION: A 75-year-old female with stage IV sigmoid colon cancer treated with surgery, adjuvant FOLFOX chemotherapy and Panitumumab. She presented to the emergency department with shortness of breath and hypoxia after known COVID-19 exposure. Initial imaging with chest radiography showed bilateral ground glass opacities. A chest CT pulmonary embolism protocol was negative for pulmonary embolism but showed bilateral ground glass opacities (GGOs) and some interstitial thickening (L>R) not typical of COVID-19 infection. She was treated with remdesivir and dexamethasone, however her oxygen requirements continued to rapidly escalate. A repeat CT chest without contrast showed bilateral asymmetric interstitial thickening and GGOs. Given persistence of CT chest abnormalities, workup for interstitial lung disease was initiated. The results include ANA titer 1:80, otherwise negative ANCA profile, rheumatoid factor, anti-CCP, Scl-70, Sjogren antibodies. Given clinical history and imaging findings, diagnosis of ILD was suspected, and she was started on solumedrol 1 mg/kg. Her oxygen requirements decreased significantly over the next 2 days, and she was discharged home on oral steroid taper and pneumocystis pneumonia prophylaxis. DISCUSSION: Panitumumab is a fully humanized monoclonal antibody against EGFR. Approved by the US Food and Drug Administration in 2006 for advanced or recurrent colorectal cancer exhibiting wild-type KRAS mutation.2 ILD is rarely reported with panitumumab monotherapy, but higher incidence when used as a combination treatment such as with FOLFOX or FOLFIRI. A Japanese post-marketing surveillance study from 2010-2015 showed an ILD incidence of 1.3% but mortality rates of 51.3%.2 EGFR is expressed on basal cells and non-cilia cells of the bronchioles and type II cells of the alveolus. EGFR mediated mechanisms are important in tissue repair.3 Therefore inhibition of this pathway has been postulated to play a role in development of ILD. Another mechanism was decreased surfactant production by type II cells in pre-clinical study.4,5 ILD secondary to Panitumumab can occur at any point during therapy and up to 1 year after administration of drug.6 The role of infectious processes, in this case, COVID-19 pneumonia, could synergistically worsen ILD presentation. CONCLUSIONS: Although the incidence of ILD is low, the mortality rate is high, therefore early recognition and treatment is associated with improved clinical outcomes. Reference #1: Mudawi D, Heyes K, Hastings R, Rivera-Ortega P, Chaudhuri N. An update on interstitial lung disease. Br J Hosp Med (Lond). Jul 2 2021;82(7):1-14. Reference #2: Osawa M, Kudoh S, Sakai F, et al. Clinical features and risk factors of panitumumab-induced interstitial lung disease: a postmarketing all-case surveillance study. Int J Clin Oncol. Dec 2015;20(6):1063-1071. Reference #3: The FASEB Journal - 2000 - Puddicombe - Involvement of the epidermal growth factor receptor in epithelial repair in asthma.pdf. DISCLOSURES: No relevant relationships by Navitha Ramesh No relevant relationships by Uba Udeh

A RARE PRESENTATION OF COVID-19-ASSOCIATED CENTRAL VENOUS THROMBOSIS

SESSION TITLE: COVID-19 Case Report Posters 3 SESSION TYPE: Case Report Posters PRESENTED ON: 10/19/2022 12:45 pm - 01:45 pm INTRODUCTION: Due to a wide range of clinical presentations, central venous thrombosis (CVT) is a rare neurologic condition that can be difficult to diagnose. Since the COVID-19 pandemic, more cases of venous thromboembolic events have emerged and been found associated with COVID-19. We detail a potential case of COVID-19 associated CVT. CASE PRESENTATION: A 28-year-old female with past medical history of obesity, polycystic ovary syndrome, recurrent sinusitis, and presumed history of COVID-19 infection with anosmia, ageusia, and sinusitis symptoms three- months prior presented to the hospital with 1-month history of worsening, right-sided pain behind her ear, eye, head, posterior neck and shoulder, nausea, and photophobia, which had worsened in the last 5 days. She initially tried over-the-counter medications with no improvement. Vital signs were unremarkable. Examination was notable for frontal sinus and right postauricular tenderness to palpation. C- reactive protein was elevated at 26.2 mg/L. Non- contrasted brain computed tomography (CT) was concerning for right transverse sinus and superior sagittal sinus thrombosis. Brain magnetic resonance imaging (MRI) showed early signs of cortical edema and venous infarction and findings concerning for right mastoiditis. Intracranial venous MRI showed complete thrombosis of the right transverse and sigmoid sinus, superior sagittal sinus, and most of the superior draining cortical veins. Heparin drip was started. Initial empiric antibiotics for mastoiditis were stopped. Hyper-coagulopathy work-up with beta- 2 glycoprotein 1 antibodies and phospholipid antibodies were negative. As there were no other inciting factors for CVT found and no history of positive COVID-19 test, a COVID-19 antibody immunoassay was obtained and returned positive. The patient did not have a history of COVID vaccination. She was discharged on warfarin and enoxaparin. Anticoagulation was stopped after 6 months with repeat imaging showing resolution of clot burden. DISCUSSION: Usual risk factors associated with CVT are morbid obesity, hormone replacement therapy, oral contraceptive use, hereditary thrombophilia, and pregnancy. Literature on CVT related to COVID-19 is limited. In 41 documented cases, the average age of incidence is 50 years old and median onset of neurological symptoms from initial COVID-19 diagnosis is 7 days [0 to 21 days]. Our patient's neurological symptoms began about 3 months after her initial diagnosis, potentially making it the first known case of COVID-19 associated CVT with symptom onset past 21 days. Anticoagulation is the mainstay treatment for CVT, and duration depends on the presence of provoking factor. CONCLUSIONS: In patients with new neurologic symptoms and recent diagnosis of COVID-19, CVT should be considered in the differential diagnosis as it can initially present in a subtle manner. Early recognition could improve patient morbidity and mortality. Reference #1: Abdalkader, M., Shaikh, S. P., Siegler, J. E., Cervantes-Arslanian, A. M., Tiu, C., Radu, R. A., Tiu, V. E., Jillella, D. v., Mansour, O. Y., Vera, V., Chamorro, Á., Blasco, J., López, A., Farooqui, M., Thau, L., Smith, A., Gutierrez, S. O., Nguyen, T. N., Jovin, T. G. (2021). Cerebral Venous Sinus Thrombosis in COVID-19 Patients: A Multicenter Study and Review of Literature. Journal of Stroke and Cerebrovascular Diseases. https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105733 Reference #2: Idiculla, P. S., Gurala, D., Palanisamy, M., Vijayakumar, R., Dhandapani, S., Nagarajan, E. (2020). Cerebral Venous Thrombosis: A Comprehensive Review. European Neurology (Vol. 83, Issue 4). https://doi.org/10.1159/000509802 Reference #3: Ostovan VR, Foroughi R, Rostami M, et al. Cerebral venous sinus thrombosis associated with COVID-19: a case series and literature review. Journal of Neurology. 2021 Oct;268(10):3549-3560. DOI: 10.1007/s00415-021-10450-8. PMID: 33616740;PMCID: PMC7897893. DI CLOSURES: No relevant relationships by Shu Xian Lee No relevant relationships by Arif Sarwari No relevant relationships by Benita Wu

Overview of the Market of Electric Cars by Multilogistic Curves

Sigmoid functions (growth function, logistic function, evolution function, etc.) are used to describe, study and forecast several phenomena of the life. In some cases (for example, in case of the COVID-19 disease), the phenomenon has several waves, which needs to apply multilogistic (multiwave logistic) curves in order to perform realistic investigation. In product design, the logistic curve can describe the lifecycle of a product. A product lifecycle can be finished by the significant decrease of the market, but in some cases, several new developments and innovations can regenerate the increase of the market by starting a new boom. This renewing process can invoke several waves of the phenomenon, which will make necessary the application of multilogistic curves for the correct study. This multiwave behaviour of the product lifecycle makes this phenomenon very similar to the time history of the COVID-19 disease which also has several waves, because of the newer and newer virus variants. Analysis and comparison of several phenomena described by logistic curves, or bi- logistic, tri- logistic or multilogistic curves can be made easier by the application of the EBSYQ (Evolutionary Based SYstem of Qualification and comparison of group achievements) comparison and qualification system. The similarity between the multiwave characteristics of the product lifecycle and coronavirus time history makes possible to apply several results, skills and methods of comparison and investigation, which were developed and used previously during the analysis of several waves of the disease also for the case of product lifecycle analysis. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Effective DDoS Attack Detection using Deep Generative Radial Neural Network in the Cloud Environment

Recently, internet services have increased rapidly due to the Covid-19 epidemic. As a result, cloud computing applications, which serve end-users as subscriptions, are rising. Cloud computing provides various possibilities like cost savings, time and access to online resources via the internet for end-users. But as the number of cloud users increases, so does the potential for attacks. The availability and efficiency of cloud computing resources may be affected by a Distributed Denial of Service (DDoS) attack that could disrupt services' availability and processing power. DDoS attacks pose a serious threat to the integrity and confidentiality of computer networks and systems that remain important assets in the world today. Since there is no effective way to detect DDoS attacks, it is a reliable weapon for cyber attackers. However, the existing methods have limitations, such as relatively low accuracy detection and high false rate performance. To tackle these issues, this paper proposes a Deep Generative Radial Neural Network (DGRNN) with a sigmoid activation function and Mutual Information Gain based Feature Selection (MIGFS) techniques for detecting DDoS attacks for the cloud environment. Specifically, the proposed first pre-processing step uses data preparation using the (Network Security Lab) NSL-KDD dataset. The MIGFS algorithm detects the most efficient relevant features for DDoS attacks from the pre-processed dataset. The features are calculated by trust evaluation for detecting the attack based on relative features. After that, the proposed DGRNN algorithm is utilized for classification to detect DDoS attacks. The sigmoid activation function is to find accurate results for prediction in the cloud environment. So thus, the proposed experiment provides effective classification accuracy, performance, and time complexity. © 2022 IEEE.

EVALUATION of PATIENTS with PEDIATRIC BEHÇET'S DISEASE: A TERTIARY CENTER EXPERIENCE

Background: Behçet's disease (BD) is an systemic infammatory vasculitis characterized by recurrent oral aphthae and genital ulcers. In the course of the disease, skin, eye, musculoskeletal, nervous system and gastrointestinal system involvements can be detected. Objectives: To evaluate the clinical, laboratory and radiological fndings of pedi-atric cases diagnosed with BD. Methods: Fifty patients (0-20 years old) who were followed up with the diagnosis of BD at the Pediatric Rheumatology outpatient clinic of Uludag University Faculty of Medicine between January 2011 and July 2021 were included in our study. The patients were diagnosed according to the diagnostic criteria of the International BD Study Group. Results: Twenty-four (48%) of the patients were male and 26 (52%) were female. The mean age at the diagnosis of patients was 9 ±4.55 years (10.75±4.55 years in boys, 12.35±3.65 years in girls). Twenty patients (36.3%) had a family history of Behçet's Disease. Oral aphthae were present in 96% (n=48) patients, while genital ulcers were in 32% (n=16) (Table 1). Of the nine patients with uveitis, 6 had panu-veitis, 2 had anterior uveitis and 1 had posterior uveitis. There was no difference in the distribution of symptoms according to the gender of the patients. HLA-B51 allel was found in 39 (78%) and ANA was positive in 14 patients (28%). Immunological tests showed that serum immunoglobulins were low in 11 (32.3%) of 34 patients. Low IgG levels were detected in 6 patients, low IgM levels were in 3, and low IgA levels were in 2. Thrombus was presented in three cases (thrombus in the right ventricle in one case, in the intracranial transverse sigmoid sinus and left jugular vein in two cases). The most commonly used drug for aphthae was colchicine (n=45, 82%). The use of biological agents according to patient manifestations is shown in Table 2. In the follow-up, clinical fndings improved in 35 patients (70%) Complete improvement was detected only with biological agents in 8 patients with uveitis. One patient was operated due to the development of complicated cataracts secondary to uveitis. Three patients were diagnosed with Covid-19, one of them was followed without treatment, while two of them were treated with favipiravir at home. Three patients with Covid-19 infection were using only colchicine treatment. Conclusion: Behçet's disease is rare in childhood. Although it is not common, life-threatening complications can be observed. To reduce morbidity and complications, physicians should be aware of manifestations and rare clinical pictures of the BD.

OVERSTITCH SUTURE OF PARIETAL DEFECTS AFTER ESD AND EFTR IS FEASIBLE, SAFE AND REDUCE THE NEED FOR HOSPITALIZATION

Background and aim: Endoscopic submucosal dissection (ESD) and endoscopic full thickness resection (EFTR) are recognized as valid advanced techniques for the treatment of pre-neoplastic/neoplastic lesions of the gastrointestinal tract. However, complication rate and need of hospitalization still remain a matter of discussion. The application of suturing devices have been suggested as an option to prevent complications and reduce hospital stay. The aim of our study was to analyse the feasibility and safety of Overstitch suturing devices applied after large and deep ESD/EFTR. The secondary aim was to evaluate the efficacy of suturing system to reduce hospital stay and complication rate. Materials and methods: From September 2020 to November 2021 (in Covid-19 pandemic era) all consecutive patients sutured with Apollo SX Overstich after complex resection were prospectively enrolled. Feasibility, complications, hospital stay were analyzed. Results: Fourteen patients(6 female, mean 79 +-8 yo) were enrolled;lesions were located in the stomach (3), in the rectum (7), in the sigmoid colon (2), in the descending colon (2). Final diagnosis were 10 HGD/T1 (sm1) and 4 lesions T1 (sm2/3) or T2 colo-rectal cancer. Eight patients were treated with ESD as outpatients whereas 4 underwent eFTR as inpatients with uneventful medium hospital stay of 4.7 days (range 4-6). Overstich suture was feasible in all the lesions, and all locations. No major complications occurred. One minor complications (colonic luminal stenosis) occurred and was successfully treated with temporaray placement of covered metal stent. (Figure Presented) Conclusions: Endoscopic overstitch system is safe and a useful tool to close large wall defect after ESD/EFTR.

ATYPICAL PRESENTATION OF LEGIONNAIRES DISEASE WITH DIVERTICULITIS IN IMMUNOSUPPRESSED PATIENT

CASE: A 69-year-old male smoker with stage 3b prostate cancer managed with abiraterone and prednisone, prior severe COVID-19 pneumonia requiring mechanical ventilation, and history of perforated sigmoid diverticulitis presented with 3 days of anorexia, watery diarrhea, and left lower abdominal pain. Two weeks earlier he developed a mild dry cough without fever, dyspnea, or chest pain. There were no sick contacts or recent travel. He was afebrile, and initial routine chemistries and a complete blood count were unremarkable. An abdomino-pelvic CT revealed acute diverticulitis of the distal descending and sigmoid colon. A consolidation at the right lung base was also incidentally noted. Follow up imaging confirmed a multifocal pneumonia on chest Xray. Legionella antigen was detected in the urine. Metronidazole and levofloxacin were initiated with clinical improvement and the patient was discharged home to complete a 10-day course of antibiotics IMPACT/DISCUSSION: Legionella bacteria are gram negative organisms found widespread in soil and bodies of water including lakes, streams, and artificial reservoirs. Transmission is via inhalation of aerosols and a high innoculum is typically needed to cause infection. Host risk factors for infection include older age, impaired cellular immunity, smoking, male sex, and medical co-morbidities such as diabetes mellitus, renal, lung and cardiovascular disease. The two most commonly known syndromes associated with Legionella infection are Legionnaire's disease, a pneumonia occurring typically in the late summer or early autumn months (as in our patient), and Pontiac fever, an acute self- limited febrile illness. The mortality rate for hospitalized Legionnaire's is up to 10%. Extra-pulmonary manifestations are rare and can include skin and soft tissue infections, septic arthritis, endocarditis, myocarditis, peritonitis, pyelonephritis, meningitis, brain abscesses, and surgical site infections. The diagnosis of extra-pulmonary disease requires detection of Legionella at the affected site by culture or polymerase chain reaction. In the absence of a known local Legionella outbreak, our patient's age, sex, smoking status, and underlying immune suppression most likely increased his risk for this sporadic infection. We postulate that the acute diarrhea associated with Legionnaire's disease may have triggered inflammation of his diverticula or the acute diverticulitis was an extra-pulmonary manifestation. To our knowledge, we are the first to report a case of Legionnaire's disease presenting as acute diverticulitis. CONCLUSION: Legionnaire's is a typical disease with many atypical and extra-pulmonary presentations. We present a case of Legionnaire's disease masquerading as acute diverticulitis and urge timely consideration and testing for Legionella in at-risk patients presenting with predominantly GI symptoms and subtle or no respiratory complaints, as it can be life-saving.

Classification Covid-19 disease based on CNN and Hybrid Models

The year 2019 saw an unusual epidemic known as COVID-19, which affected the entire world. COVID-19 is a kind of coronavirus that causes widespread respiratory system damage and severe respiratory symptoms, which are associated with increased ICU admissions and mortality. The lack of therapy has prompted study in various sectors to address it. Contributions in Computer Science mostly involve the creation of algorithms for the detection, diagnosis, and prediction of COVID-19 instances.The most extensively utilized approaches in this field are machine learning (ML) and deep learning (DL). As a result, the purpose of this work was to develop a method for early detection of COVID-19 using chest X-rays images and CT scans images using different Artificial Intelligence (AI) techniques. These images were identified utilizingseveral AI algorithms, and their performance was then analyzed in order to identify the best of them. Convolutional neural networks (CNN), K nearest neighbor (KNN), Random Forest (RF), and support vector machine (SVM) among the techniques used.CNN is used in two scenarios here: the first to categorize X-ray images and CTscansimages using a softmax (with X-Ray dataset) and sigmoid (with CT dataset) classifier, and the second to extract automatic features from the images and send them to other classifiers (SVM, KNN, and RF). Given to the results, numerous classifiers work well, with most achieving over 99% accuracy. The highest accuracy was achieved in this study when using the hybrid system CNN-SVM with X-Ray database, where the test accuracy rate was 99.51%.