Relations between anxiety sensitivity's cognitive concerns and anxiety severity: brooding and reflection as serial multiple mediators.

The outbreak of COVID-19 has caused a major impact on productivity and life functioning, and also led to adverse emotional reactions. In the face of this public health event, increased anxiety is one of the most common emotional reactions. Previous studies have shown that anxiety sensitivity, rumination and anxiety are closely related. Various dimensions of anxiety sensitivity have different effects on anxiety. Also, rumination can be divided into brooding and reflection. To explore the relationships among anxiety sensitivity's cognitive concerns, anxiety and different types of rumination, we conducted an online survey during the outbreak of coronavirus (February 17-25, 2020), using the Anxiety Sensitivity Scale-3 (ASI-3), Ruminative Responses Scale (RSS), and Depression Anxiety Stress Scale-21 (DASS-21). The results showed significant positive correlations among anxiety sensitivity's cognitive concerns, anxiety, brooding and reflection. Furthermore, brooding and reflection had a chain mediation effect between cognitive concerns and anxiety, and the mediation effect of reflection was even stronger. Results suggest that anxiety sensitivity's cognitive concerns may not only affect anxiety directly, but also affect anxiety through rumination, especially reflection.

DENGUE PROGNOSTIC BIOMARKERS PREDICT DENGUE HAEMORRHAGIC FEVER WITH HIGH SENSITIVITY AND SPECIFICITY

Ninety-six million people are symptomatically infected with Dengue globally every year. Under the current standard-of-care, up to 20% of Dengue patients may be hospitalized, while only 500,000 develop Dengue Haemorrhagic Fever (DHF) and require hospitalization. This leads to unnecessary overwhelming of hospitals in tropical countries during large Dengue epidemics, especially when healthcare systems are grappling with large numbers of COVID-19 patients. Our research team set out to discover biomarkers to prognosticate Dengue patients, and augment the infectious disease clinician's decision-making process to hospitalize Dengue patients. Host biomarkers with concentrations significantly different between pooled serum samples of Dengue Fever (DF) patients and DHF patients were identified using protein array. The prognostication capabilities of selected biomarkers were then validated over 283 adult Dengue patients recruited from three Singapore tertiary hospitals, prior to the diagnosis of DHF. Three biomarkers (A2M, CMA1 and VEGFA) were identified that provide independent prognostication value from one another, and from clinical parameters commonly monitored in Dengue patients. The combination of all three biomarkers was able to identify from as early as Day 1 after the onset of fever, DF patients whose conditions will deteriorate into DHF. The biomarkers are robust and able to predict DHF well when trained on different AI/ML algorithms (logistic regression, support vector machine, decision tree, random forest, AdaBoost and gradient boosting). When stacked, prediction models based on the biomarkers were able to predict DHF with 97.3% sensitivity, 92.7% specificity, 66.7% PPV, 99.6% NPV and an AUC of 0.978. To the best of our knowledge, our panel of three biomarkers offers the highest accuracy in prognosticating Dengue to date. Further studies are required to validate the biomarkers in different geographical settings and pilot their implementation as part of the standard-of-care workflow for Dengue patients. [ FROM AUTHOR] Copyright of International Journal of Infectious Diseases is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

A Laboratory Validation of Self-Collected Nasal Swab and Rhinoswab for the Detection of Sars-Cov-2

Intro: In Australia, the main methods to diagnose COVID-19 are through rapid antigen tests (RATs) and through nucleic acid amplification testing (NAAT, including polymerase chain reaction) on healthcare worker (HCW)-collected combined nose/throat swabs. With self-collection widely used by the public for RATs, the aim of this study was to evaluate the performance of self-collected samples using commercial NAAT for SARS-CoV-2. Method(s): Consenting participants aged 14 years and older were provided with a self-collection pack containing instructions and either a FLOQSwab (Copan) or a Rhinoswab (Rhinomed). Participants collected their own nasal sample unsupervised prior to having a HCW-collected combined nose and throat swab taken for standard of care NAAT. Paired self-collected and HCW samples were tested on the cobas SARS-CoV-2 assay (Roche) and the Aptima SARS-CoV-2 assay (Hologic). Finding(s): We demonstrated comparable sensitivity, specificity, and agreement between self-collected nasal and Rhinoswab samples, compared to HCW- collected samples tested using the cobas SARS-CoV-2 and Aptima SARS-CoV-2 assays. In our study the clinical performance of self-collected specimens was comparable to HCW-collected samples, with both self-collect nasal and Rhinoswab samples resulting in 90-95% sensitivity, and in most cases >95% specificity. Discussion(s): Without the availability of samples for NAAT the ability to perform genomic testing is limited, reducing surveillance and public health investigations. We showed that genomic sequencing from self-collected samples can correctly identify the virus lineage and that the main determination of successful genomic testing is a high viral load rather than collection method. Conclusion(s): These data support self-collection as an accessible method for community testing for COVID-19 and introduces a novel collection device, the Rhinoswab as an alternative to the standard nasal swab. The testing method of self-collection can be expanded from the widely used RATs to NAAT and genomic testing which may inform the management and public health response to the COVID-19 pandemic.Copyright © 2023

Emergence of Colistin Resistance of Mdr Acinetobacter Spp. In Hospital Sungai Buloh during Covid-19 Pandemic

Intro: Acinetobacter calcoaceticus - A.baumannii complex is an opportunistic pathogen that has emerged as one of the multidrug resistant organism frequently associated with nosocomial infections especially causing ventilator- associated pneumonia (VAP). Colistin and Polymyxin B are currently being used as salvage therapy for treating MDR Acinetobacter spp. However, the emergence of resistance of colistin has been reported and treatment is further complicated by poor lung tissue penetration. Thus, we implied to explore on the prevalence of its resistance in our own facility, being the national COVID-19 referral hospital. Method(s): This is a cross-sectional retrospective analysis of MDR Acinetobacter spp. done for isolates of 2019 and 2021. Only clinically significant isolates were sent to Institute of Medical Research (IMR) for colistin susceptibility testing by broth microdilution. The identification of the isolates was performed by Bruker MALDI-ToF. CLSI breakpoints were used to determine susceptibility, applying the change of breakpoints interpretation in year 2020. Finding(s): In 2021, out of 203 isolates, 195 (96%) were Acinetobacter baumannii. Other spp. isolated were A. nosocomialis (6, 3%) and A. proteolyticus (2, 1%). Out of that, 107 (52.7%) were resistant with MIC of >4 ug/ml and 96 (47.3 %) were intermediate with MIC of <2 ug/ml. Pre-pandemic, resistance rates were compared with 2019 and this showed 47% were resistant with MIC of >4 ug/ml and 52% were susceptible with MIC <2 ug/ml. Clinical characteristics of patients were analysed;previous use of carbapenem, ventilation history, length of stay, and outcome (alive or deceased). Most of patients were severely ill with majority of admissions due to Category 4-5 COVID-19 and required ventilation in critical care unit. Previous carbapenem exposure was not significantly associated with colistin resistance (p=0.936). Conclusion(s): Emergence of colistin resistant MDR Acinetobacter spp. is alarming. Infection control measures are crucial and other therapeutic options need to be explored to improve quality of care.Copyright © 2023

Frontiers: Unmasking Social Compliance Behavior During the Pandemic

In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological fac-tors. Based on the literature on social influence and on mask-wearing, we define three cus-tomer segments: Fully-Compliant customers wear masks, and they seem motivated primarily by concerns about their own health risk. Partially-Compliant customers also wear masks, but with improper and ineffective coverage;our empirical analysis suggests that they are moti-vated primarily by a desire to comply with social norms. Finally, Unmasked customers do not wear masks. We examine changes in shopping behaviors with the onset of the pandemic to corroborate the conjectured mask-wearing motives. We find that the three groups made significantly different behavior changes: Fully-Compliant customers shopped significantly faster and practiced stricter social distancing with the onset of the pandemic, whereas the other two groups did not adjust their shopping duration or social distancing.

Computational modeling of fractional COVID-19 model by Haar wavelet collocation Methods with real data

This study explores the use of numerical simulations to model the spread of the Omicron variant of the SARS-CoV-2 virus using fractional-order COVID-19 models and Haar wavelet collocation methods. The fractional order COVID-19 model considers various factors that affect the virus's transmission, and the Haar wavelet collocation method offers a precise and efficient solution to the fractional derivatives used in the model. The simulation results yield crucial insights into the Omicron variant's spread, providing valuable information to public health policies and strategies designed to mitigate its impact. This study marks a significant advancement in comprehending the COVID-19 pandemic's dynamics and the emergence of its variants. The COVID-19 epidemic model is reworked utilizing fractional derivatives in the Caputo sense, and the model's existence and uniqueness are established by considering fixed point theory results. Sensitivity analysis is conducted on the model to identify the parameter with the highest sensitivity. For numerical treatment and simulations, we apply the Haar wavelet collocation method. Parameter estimation for the recorded COVID-19 cases in India from 13 July 2021 to 25 August 2021 has been presented. © 2023 the Author(s)

Identification Symptoms and Underlying Diseases Related to COVID-19 And Prediction of Death Status Using Artificial Neural Network and Logistic Regression: A Data Mining Approach

Background and Objectives: Due to the high prevalence of COVID-19 disease and its high mortality rate, it is necessary to identify the symptoms, demographic information and underlying diseases that effectively predict COVID-19 death. Therefore, in this study, we aimed to predict the mortality behavior due to COVID-19 in Khorasan Razavi province. Method(s): This study collected data from 51, 460 patients admitted to the hospitals of Khorasan Razavi province from 25 March 2017 to 12 September 2014. Logistic regression and Neural network methods, including machine learning methods, were used to identify survivors and non-survivors caused by COVID-19. Result(s): Decreased consciousness, cough, PO2 level less than 93%, age, cancer, chronic kidney diseases, fever, headache, smoking status, and chronic blood diseases are the most important predictors of death. The accuracy of the artificial neural network model was 89.90% in the test phase. Also, the sensitivity, specificity and area under the rock curve in this model are equal to 76.14%, 91.99% and 77.65%, respectively. Conclusion(s): Our findings highlight the importance of some demographic information, underlying diseases, and clinical signs in predicting survivors and non-survivors of COVID-19. Also, the neural network model provided high accuracy in prediction. However, medical research in this field will lead to complementary results by using other methods of machine learning and their high power.Copyright © 2022 The Authors.

Pre-existing chronic liver disease is associated with poor outcome in patients with SARS-CoV2 infection

COVID-19 is characterized by predominant respiratory and gastrointestinal symptoms. Liver enzymes derangement is seen in 15-55% of the patients. Cirrhosis is characterized by immune dysregulation, leading to concerns that these patients may be at increased risk of complications following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Patients with metabolic dysfunction-associated fatty liver (MAFLD) had shown a 4-sixfold increase in severity of COVID-19, and its severity and mortality increased in patients with higher fibrosis scores. Patients with chronic liver disease had shown that cirrhosis is an independent predictor of severity of COVID-19 with increased hospitalization and mortality. An international European registry study included 756 patients with chronic liver disease from 29 countries reports high mortality in patients with cirrhosis (32%). Data of 228 patients collected from 13 Asian countries on patients with CLD, known or newly diagnosed, with confirmed COVID-19 (APCOLIS study) showed that SARSCoV- 2 infection produces acute liver injury in 43% of CLD patients without cirrhosis. Additionally, 20% of compensated cirrhosis patients develop either ACLF or acute decompensation. In decompensated cirrhotics, the liver injury was progressive in 57% of patients, with 43% mortality. Patients with CLD and associated diabetes and obesity had a worse outcome. Liver related complications were seen in nearly half of the decompensated cirrhotics, which were of greater severity and with higher mortality. Increase in Child Turcotte Pugh (CTP) score and model for end-stage liver disease (MELD) score increases the mortality in these patients. In a subsequent study of 532 patients from 17 Asian countries was obtained with 121 cases of cirrhosis. An APCOLIS risk score was developed, which included presence of comorbidity, low platelet count, AKI, HE and respiratory failure predicts poor outcome and an APCOLIS score of 34 gave a sensitivity and specificity of 79.3%, PPV of 54.8% and NPV of 92.4% and predicted higher mortality (54.8% vs 7.6%, OR = 14.3 [95 CI 5.3-41.2], p<0.001) in cirrhosis patients with Covid-19. The APCOLIS score is helpful in triaging and prognostication of cirrhotics with Coivd-19. The impact of COVID-19 on patients with cirrhosis due to non-alcoholic fatty liver disease (NASH-CLD) was separately studied in 177 NASH-CLD patients. Obese patients with diabetes and hypertension had a higher prevalence of symptomatic COVID. Presence of diabetes [HR 2.27], fraility [HR 2.68], leucocyte counts [HR 1.69] and COVID-19 were independent predictors of worsening liver functions in patients with NASH-CLD. Severity of Covid in Cirrhosis could also be assessed by measuring ICAM1 the Intercellular Adhesion Molecule, an indicator of Endothelial Injury Marker. in Cirrhosis with Covid 19 Immunosuppression should be reduced prophylactically in patients with autoimmune liver disease and post-transplantation with no COVID-19. Hydroxychloroquine and remdesivir are found to be safe in limited studies in a patient with cirrhosis and COVID-19. And is safe in cirrhosis patients. However, flare of AIH has been reported in AIH patients. For hepatologists, cirrhosis with COVID-19 is a pertinent issue as the present pandemic cause severe disease in patients with chronic liver disease leading to more hospitalization and decompensation.

Carbapenem Heteroresistance Mdr Enterobacter Cloacae in a Post-Covid-19 Obese Patient: An Antibiotic Susceptibility Conversion

Intro: Background: Obesity affects drug delivery and clearance owing to the patient's altered pharmacokinetics. In treating infection, this presents as a conundrum antibiotic dosing to achieve optimal antibiotic concentration at the same time avoiding drug toxicity. Particularly in the case of antimicrobial agents, underdosing may lead to antibiotic resistance. Method(s): Case description: We report a case of a morbidly obese (BMI=58) COVID-19 patient infected with carbapenem-sensitive multi-drug resistant (MDR) Enterobacter cloacae bacteremia, treated with ertapenem 1g twice daily and intravenous polymyxin E 9MU stat and 4.5MU twice daily for MDR Acinetobacter baumanii co-infection. He had infected huge grade IV sacral sore one month later in which intraoperative tissue culture grew phenotypically heterogeneous colonies of MDR Enterobacter cloacae with carbapenem-sensitive and carbapenem-intermediate-resistant non-carbapenemase producing colonies. He responded well clinically and biochemically with an increased dose of intravenous ciprofloxacin 800mg BD based on his actual body weight. He was discharged with oral ciprofloxacin 750mg BD for a total of six weeks. Finding(s): Discussion: Obesity is a public health crisis that has reached epidemic proportions. Obesity affects the volume distribution and renal clearance of many drugs including antibiotics. Obese patients are shown to have higher drug clearance than normal-weighted patients resulting in inadequate systemic exposure. This puts patients at risk of developing antibiotic resistant organisms. Our patient, weighing 162kg was given three different beta-lactam antibiotics to treat his infection including ertapenem in which a standard adult dose was given without body weight consideration. Possible underdosing contributed to the conversion of carbapenem susceptibility from sensitive to resistant strain. Conclusion(s): Obese individuals may need a larger ertapenem dose than their non-obese counterparts. Clinical and laboratory assessment may help in monitoring treatment response in this group of patients.Copyright © 2023

Spontaneous Gastro-pancreatic Fistula: A Rare Complication of Acute Pancreatitis

Introduction: Although Gastrointestinal fistula is a well-recognized complication of acute pancreatitis, it has been rarely reported. Here we present a rare case of spontaneous gastro-pancreatic fistula following acute pancreatitis. Case Description/Methods: 42 y/o female with PMH of SLE with a recent prolonged hospitalization for acute drug-induced pancreatitis with pseudocyst came to ED with fever, abdominal pain, nausea, and vomiting. She was tachycardic, had leukocytosis, and was positive for COVID-19. CT Scan A/P showed multiple infected peripancreatic collections with communication of the left upper quadrant collection with the gastric lumen (Figure). The patient was hospitalized, Kept NPO, and started on fluids and antibiotics. IR evaluated and put 2 pigtail catheters for drainage of peripancreatic collections. The tip of the pigtail catheter in the left peripancreatic/retroperitoneal collection was in the gastric lumen. The surgery team recommended continuing with conservative treatment with parenteral nutrition, and IV antibiotics as the patient were nontoxic with no signs of free perforation, and pancreatitis would more likely erode a staple or suture line and would put the patient at further risk of free perforation if repair attempted. IR was successful in pulling the drain out of the gastric lumen on the second attempt to allow gastric perforation to heal. Antibiotics were upgraded as per the culture and sensitivity results of the drain fluid. Repeated multiple bedside leak tests and CT scans with oral contrast continue to be positive for patent gastro-pancreatic fistula. Pigtails catheter continues to drain significant necrotic collection. The patient continues to be hospitalized and is being managed conservatively with Parenteral nutrition, and IV antibiotics. Discussion(s): Fistula of the GI tract following acute pancreatitis can be caused by multiple reasons. Necrosis of the bowel may occur concomitantly with the pancreatic or peripancreatic tissue. Furthermore, enzyme-rich fluid and necrosis can lead to vascular thrombosis, which compromises the blood supply of the segmental GI tract, eventually leading to bowel necrosis. GI fistulas are more common in patients with necrotizing pancreatitis with infected pancreatic necrosis. Despite pharmacologic suppression of pancreatic exocrine secretion and advances in endoscopic and percutaneous therapeutic techniques, pancreatic fistula continues to be a source of morbidity and mortality following pancreatitis and requires multidisciplinary treatment.

Diagnostic value of sputum nucleic acid amplification testing for COVID-19 a meta-analysis

Objective: To systematically evaluate the diagnostic value of nucleic acid test in sputum for COVID-19 and to determine the suitable population for sputum specimens. Method(s): PubMed, CNKI, Scopus, Web of Science, medRxiv and bioRxiv databases were searched for the diagnostic value of sputum nucleic acid test for COVID-19 from December 2019 to April 2022. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias with QUADAS-2 in the included studies. We used sensitivity, specificity, AUC and DOR to evaluate the diagnostic value of sputum specimens. Result(s): A total of 25 studies were included, including 10,731 subjects. Meta-analysis results showed that: The combined sensitivity (SEN), specificity (SPE), diagnostic odds ratio (DOR), and area under operating characteristic curve (AUC) of sputum nucleic acid for the diagnosis of COVID-19 were 89.2% (95% CI, 86.6-91.4), 97.5% (95% CI, 97.2-97.8), 41.4 (95% CI, 11.7-145.9), 0.9474 (95% CI, 0.8964-0.9846). The results of subgroup analysis showed that the Asian group's DOR was 36.835 (95% CI, 10.83-134.570), and the Non-Asian group's DOR was 66.294 (95% CI, 0.719-6109.09). The DOR was 27.207 (95% CI, 2.860-258.780) in the OPS group and 44.165 (95% CI, 4.828-403.970) in the NPS group. DOR of mild patients was 84.255 (95% CI, 9.975-711.690), the DOR of the severe group was 14.216 (95% CI, 3.527-57.142) and was 19.464 (95% CI, 0.724-522.920) in the cured group. Conclusion(s): Current evidence shows that sputum nucleic acid test is of high diagnostic value for COVID-19. Study area and severity of disease are the influencing factors for the diagnostic accuracy of the sputum nucleic acid test. Due to the limitations on the number and quality of the included studies, the above conclusions need to be verified by more high-quality studies.Copyright © 2023, E-Century Publishing Corporation. All rights reserved.

Chronic Chilblain Like Lesions Associated with the Covid-19 Pandemic

Background/Aims We report the features of chronic chilblain-like digital lesions newly presenting since the start of the covid-19 pandemic. Comparison with primary perniosis and acrocyanosis, reveals a unique phenotype which appears to be a long-covid phenomenon. Methods The case records of 26 patients with new onset persistent chilblain-like lesions presenting to the Rheumatology service of St George's University Hospital, London between Autumn 2020 and Spring 2022 were reviewed. Demographic and clinical features, serology, imaging, treatment response and outcome up to Summer 2022 were collated retrospectively. Results Chilblain-like lesions first occurred between September and March;2019/ 2020 6 cases, 2020/2021 18 cases and 2021/2022 2 cases. Mean age 35.4 (17-60) years, 88% female, 85% white, all non-smokers. Median body mass index (BMI) 20.2, range 17.0 - 33.2. BMI underweight (<18.5) in 27%. All cases reported new red-purple-blue colour changes of the fingers, some with pain, swelling and pruritis, affecting both hands in 12, one hand in 6, and both hands and feet in 8 cases. There was a past history of cold sensitivity or primary Raynaud's in 54%. Covid was confirmed in 3 cases, 2 - 8 months prior to onset of chilblain-like symptoms. Possible covid, unconfirmed, was suspected in 5 cases, 1 - 11 months earlier. Affected digits appeared diffusely erythro-cyanotic in 81%, with blotchy discrete maculo-papular erythematous lesions in 42%, some with both features. Involvement was asymmetric in 54%, thumbs spared in 69%. Complement was low in 50% (8/16), ANA positive in 26% (6/23). MRI of hands showed phalangeal bone marrow oedema in keeping with osteitis in 4 of 7 cases. More severe signs and symptoms were associated with low BMI, low C3/4 and a past history of cold sensitivity or Raynauds. Cold avoidance strategies were sufficient for 58%. Pain prompted a trial of NSAIDs, aspirin, nitrates, calcium channel blockers, hydroxychloroquine, oral or topical corticosteroid or topical tacrolimus in 42%. In general, these were minimally effective or not tolerated. 4 severe cases received sildenafil or tadalafil, effective in 2. In 27% complete remission occurred during the first summer season after symptoms commenced, median duration 6 (range 2 - 10) months. In the remaining 19 cases, chilblain-like symptoms returned or worsened in the subsequent second winter period, with 6 of 19 entering remission the following summer. For the remaining 13 persistent cases the total duration of symptoms spans more than a year, and in four cases more than 2 years. Conclusion This series illustrates a distinct chronic chilblain-like condition. Features similar to primary perniosis include female predominance, middle age, pruritic painful blotchy lesions, asymmetry and low BMI. Features in keeping with acrocyanosis include chronicity, extensive diffuse erythro-cyanotic discoloration, relative improvement in warm weather and lack of association with smoking.

Modeling The Effect of Contaminated Object, Vaccination and Treatment on The Diseases Epidemiology

In this paper, the effect of contaminated objects on a SIRS Model with vaccination and hospitalization compartments is modeled. Positivity and boundedness properties of the solutions of model are proved, basic reproduction number of the model is founded through criteria which make the eigenvalues of the Jacobean matrix at the disease-free equilibrium point, negative. Globally stability analysis of the disease-free equilibrium point is proved when the basic reproduction number is less than unity. The existence, uniqueness of the endemic equilibrium point is investigated when the basic reproduction number is greater than unity. Parameter values regarding to spreading covid-19 in Kurdistan region are estimated. Finally, sensitivity analysis of the reproduction number is carried out. © 2022 Production by the University of Garmian. This is an open access article under the LICENSE.

The Impact of Vaccination on COVID-19 Pandemic in the Kurdistan Region of Iraq: A Mathematical Modelling

The spreading of COVID-19 became a global issue that had a significant impact on health, life, and economic sectors. Efforts from all over the world are focused on discussing a variety of healthcare approaches to reduce the effect of COVID-19 among individuals. Mathematical tools with numerical simulations are important approaches that help international efforts to determine critical transmission factors as well as controlling the virus spread. In this paper, we develop a mathematical model that considers a vaccination compartment in terms of ordinary differential equations. This study focuses on the real data of confirmed cases in Kurdistan Region of Iraq from July 17th, 2021 to January 1st, 2022. Model results and real data for the total number of infected people were compared using computational tools in MATLAB. Additionally, non-normalization, half-normalization, and full-normalization methods are used to determine the local sensitivities between model variables and parameters. Interestingly, computational results show that the dynamics of model results and real confirmed cases are very close to each other. Accordingly, the elasticity coefficients provide a great understanding of the impact of vaccination on transmissions. The model results here can also help international efforts for further suggestions and improvements to control this disease more effectively. © Palestine Polytechnic University-PPU 2023.

Antibiotic therapy of Acinetobacter baumannii bloodstream infection in COVID-19 patients

Secondary bacterial infection is one of the important risk factors for the development of severe course and death in COVID-19. The rational choice of antibacterial therapy is based on the data of microbiological monitoring of pathogens of healthcare-associated infections. The aim of the study is to determine the main options for antibiotic therapy of Acinetobacter baumannii bloodstream infection in COVID-19 patients. Material and methods. A retrospective, single-centre, uncontrolled study of the incidence of A. baumannii bacteremia in COVID-19 patients treated at the City Clinical Hospital No. 52 in Moscow from October 2020 to September 2021 was performed. For each strain of A. baumannii sensitivity to the main antibacterial agents was determined. Genetic determinants of antibiotic resistance were studied by real-time multiplex polymerase chain reaction. The main therapeutic options for A. baumannii bloodstream infection were analyzed. Results and discussion. Bloodstream infections were diagnosed in 4.7% of hospitalized patients with COVID-19 (758/16 047). Gram-negative bacteria were the causative agents of bloodstream infections in 76% of cases. A. baumannii were isolated from the blood of 143 patients (0.89%). Detection of the pathogen in the blood of COVID-19 patients was associated with severe and extremely severe course of the disease. Most of the strains (93%) were isolated in the intensive care unit. The A. baumannii strains studied were carbapenem-resistant (CRAb) and phenotypically belonged to the XDR class. According to a PCR study, A. baumannii strains were producers of oxacillinases OXA-23, OXA-40, and OXA-51. Conclusion. The circulation of A. baumannii CRAb in intensive care units makes empiric therapy based on carbapenems irrational and ineffective. For the etiotropic therapy of A. baumannii bloodstream infection it is recommended to use combined antibiotic therapy regimens with the inclusion of polymyxin B and sulbactam.Copyright © Eco-Vector, 2022.

Study of cases of Pseudomonas aeruginosa bacteria in patients with severe COVID-19

Pseudomonas aeruginosa can cause severe nosocomial infections and sepsis, especially in immunocompromised comorbid patients. The purpose of the study was to assess the frequency, clinical course, and the possibility of antimicrobial therapy for bloodstream infections caused by P. aeruginosa in patients with COVID-19. Material and methods. A retrospective single-center uncontrolled study was performed from October 1, 2020 to September 31, 2021 on the basis of a temporary infectious diseases hospital for patients with COVID-19 at the City Clinical Hospital No. 52, Moscow. During the analyzed period, 16 047 patients were admitted to the infectious diseases hospital. The study included 46 patients over 18 years of age with a diagnosis of COVID-19 confirmed by PCR RNA SARS-CoV-2 nasopharyngeal swab (U 07.1) and/or computed tomography (CT) of the lungs (U 07.2). Statistical data processing was carried out using the BioStat, 2009 program (AnalystSoft, USA). Results and discussion. P. aeruginosa has been isolated from the blood of 0.29% of patients with COVID-19. In the structure of bacteremia, P. aeruginosa accounted for 6.1%. In 87% of cases, pathogens were isolated from the blood of patients in the ICU. Most strains are classified as XDR phenotypes - 74% and MDR - 21.7%. The sensitivity of hospital strains of P. aeruginosa was: to colistin - 97%, to amikacin - 39.1%, meropenem - 32.6%. All patients had concomitant diseases: cardiovascular (60%), oncological (27.5%), diabetes mellitus (20%), obesity (22.5%) and others. In 47.5% of cases (19/40), the cause of bloodstream infections was ventilator-associated pneumonia. The mortality rate among patients with COVID-19 with P. aeruginosa bacteremia is 80%. Conclusion. The wide distribution of multidrug-resistant strains of P. aeruginosa limits the number of therapeutic options. In severe bloodstream infections caused by P. aeruginosa XDR, combined antibiotic therapy regimens with the inclusion of polymyxin B are advisable.Copyright © 2022 Tomsk Polytechnic University, Publishing House. All rights reserved.

Risk of Microbial Transmission in Reusing Gloves after Alcohol-Based Hand Hygiene

Intro: The need for re-use of gloves as an alternative to single use was raised in times of resource shortages because during the coronavirus disease 2019 pandemic, marked increase in healthcare associated infection was reported, which might owing to shortage of personal protective equipment. we aimed to evaluate the risk of microbial transmission by comparing residual microorganism after multiple patient contact according to with or without gloves in clinical practice. Method(s): Three researchers made rounds of patients while touching the same area successively followed by alcohol-based hand rub: one with bare hands, one with single gloves, and one with double gloves. Hand imprints were obtained before and after rounds, and cultured to count colony-forming units (CFU). The number of colonies was compared between groups in a semi-quantitative manner by hand area. Finding(s): Mean CFU counts after round were 10.06 for bare hands, 31.22 for single-gloved hands, and 49.67 for double-gloved hands (p=0.084). The most commonly identified microorganism after rounding was coagulase-negative Staphylococci (77.8%, 42/54), followed by Bacillus species (62.9%, 34/54). Carbapenem-resistant Acinetobacter baumannii was confirmed from a pair of double-gloved hand specimens after the rounds. That round included a patient with the same organism with the same antibiotic susceptibility results. More microorganisms were remained after alcohol-based hand rub on gloved hands than on bare hands. Conclusion(s): From our results, the possibility of microbial transmission seems more likely in gloved hands than in bare hands even after alcohol-based hand rub. Therefore, we do not recommend the re-use of gloves after alcohol-based hand hygiene.Copyright © 2023

Prediction of in-hospital mortality rate in COVID-19 patients with diabetes mellitus using machine learning methods

Background: Since its emergence in December 2019, until June 2022, coronavirus 2019 (COVID-19) has impacted populations all around the globe with it having been contracted by ~ 535 M people and leaving ~ 6.31 M dead. This makes identifying and predicating COVID-19 an important healthcare priority. Method and Material: The dataset used in this study was obtained from Shahid Beheshti University of Medical Sciences in Tehran, and includes the information of 29,817 COVID-19 patients who were hospitalized between October 8, 2019 and March 8, 2021. As diabetes has been shown to be a significant factor for poor outcome, we have focused on COVID-19 patients with diabetes, leaving us with 2824 records. Result(s): The data has been analyzed using a decision tree algorithm and several association rules were mined. Said decision tree was also used in order to predict the release status of patients. We have used accuracy (87.07%), sensitivity (88%), and specificity (80%) as assessment metrics for our model. Conclusion(s): Initially, this study provided information about the percentages of admitted Covid-19 patients with various underlying disease. It was observed that diabetic patients were the largest population at risk. As such, based on the rules derived from our dataset, we found that age category (51-80), CPR and ICU residency play a pivotal role in the discharge status of diabetic inpatients.Copyright © 2023, The Author(s), under exclusive licence to Tehran University of Medical Sciences.

Mathematical Evaluation of Covid-19 Detection Technique Using Cxr Radiographs of Patients, Using Densenet-201

A current COVID-19 detection tool is CXR imaging, which has been developing since 2019 to provide early diagnosis;it can be performed in any health unit and is more affordable than Real Time Polymerase Chain Reaction (RT-PCR) tests. However, diagnosis with Chest X Ray (CXR) images had not achieved the predictive capacity required to replace the RT-PCR test;previous studies with a limited number of images have evaluated their models. This research seeks to contribute to the detection of COVID-19 from CXR images, with the evaluation of a convolutional neural network model from CXR images, through the use of open source code on a free dataset of approximately 30 thousand images. The algorithm and mathematical model used was DenseNet-201. The results of the experiment show a precision and accuracy of more than 95% and specificity, sensitivity, predictive ability and F1 measurement of more than 90%.Copyright © 2022, Anka Publishers. All rights reserved.

Mathematical evaluation of COVID-19 detection technique using CXR radiographs of patients, using CNN vggnet-16

The detection of COVID-19 by CXR imaging is a support tool for physicians and specialists since the pandemic and has been evolving rapidly because it provides early diagnosis, can be performed in any health center, and is more affordable than Real-Time Polymerase Chain Reaction (RT-PCR) tests. However, Chest X-Ray (CXR) imaging had not achieved the predictive capacity needed to replace the RT-PCR test;previous studies have evaluated their models with a limited amount of images. This study aims to contribute to the evaluation of a convolutional neural network (CNN) model to detect COVID-19 from CXR images, using open source and a free dataset containing approximately 30,000 images. The mathematical model or algorithm used was VGGNet-16. The results of the experiments show accuracy and precision of more than 95% and sensitivity, specificity, F1-measure,andthedictive ability of more than 90%.Copyright © 2022, Anka Publishers. All rights reserved.