First Report on Abnormal Renal Function in Acute Hepatitis E Genotype 1 Infection.

Impaired renal functions have been reported with Hepatitis E virus (HEV) infections, especially with genotypes 3 and 4. These complications were reported during the acute and chronic phases of infection. HEV genotype 1 causes acute infection, and the effect of HEV-1 infections on renal functions is not known. We examined the kidney function parameters in the serum of HEV-1 patients (AHE, n = 31) during the acute phase of infection. All of the included patients developed an acute self-limiting course of infection, without progression to fulminant hepatic failure. We compared the demographic, laboratory, and clinical data between AHE patients with normal kidney function parameters and those with abnormal renal parameters. Out of 31 AHE patients, 5 (16%) had abnormal kidney function tests (KFTs) during the acute phase of infection. Three patients had abnormal serum urea and creatinine, and two patients had either abnormal urea or creatinine. Four out of five patients had an estimated glomerular filtration rate (eGFR) below 60 mL/min/1.73 m2. AHE patients with abnormal KFTs were older and had a lower level of albumin, but a slightly elevated alanine transaminase (ALT) compared to AHE patients with normal KFTs. There were no significant differences between the two groups in terms of age, sex, liver transaminase levels, and the viral load. Similarly, the clinical presentations were comparable in both groups. Interestingly, these KFTs in patients with abnormal renal parameters returned to normal levels at the recovery. The serum creatinine level was not correlated with patients' age or liver transaminase levels, but it was significantly negatively correlated with albumin level. In conclusion, this study is the first report that evaluated KFTs in patients during the acute phase of HEV-1 infections. Impaired KFTs in some AHE patients resolved at convalescence. KFTs and renal complications should be monitored during HEV-1 infections.

Perception of COVID-19-related stigma and associated psychological challenges among healthcare workers at Cairo University hospitals.

OBJECTIVES: The current study explores the level of perceived social stigma and associated psychological challenges among healthcare workers during the second wave of the COVID-19 pandemic in Egypt. METHODS: This was a cross-sectional study of 150 healthcare workers at Cairo University hospitals that were confirmed positive for COVID-19 infection. Participants were interviewed for assessment of perceived COVID-19-related stigma and associated psychological symptoms using the Patient Health Questionnaire for depression, the Generalized Anxiety Disorder Assessment for anxiety, and the Post-Traumatic Stress Disorder Checklist for post-traumatic stress symptoms. RESULTS: Two-thirds of participants perceived moderate-to-severe COVID-19-related stigma. Depression, anxiety, and post-traumatic stress symptoms were observed at varying levels in 58.0%, 38.0%, and 11.3% of participants, respectively. Female sex and occupation as a nurse were significantly associated with the total perceived COVID-19-related stigma score. COVID-19-related stigma perception significantly correlated with depression, anxiety, and post-traumatic stress. CONCLUSION: Perceived social stigma prevails among healthcare workers and is associated with numerous psychological disturbances.

Diagnosis of coronavirus disease 2019 and the potential role of deep learning: insights from the experience of Cairo University Hospitals.

OBJECTIVES: Early detection of coronavirus disease 2019 (COVID-19) is crucial for patients and public health to ensure pandemic control. We aimed to correlate clinical and laboratory data of patients with COVID-19 and their polymerase chain reaction (PCR) results and to assess the accuracy of a deep learning model in diagnosing COVID-19. METHODS: This was a retrospective study using an anonymized dataset of patients with suspected COVID-19. Only patients with a complete dataset were included (n = 440). A deep analytics framework and dual-modal approach for PCR-based classification was used, integrating symptoms and laboratory-based modalities. RESULTS: Participants with loss of smell or taste were two times more likely to have positive PCR results (odds ratio [OR] 1.86). Participants with neutropenia, high serum ferritin, or monocytosis were three, four, and five times more likely to have positive PCR results (OR 2.69, 4.18, 5.42, respectively). The rate of accuracy achieved using the deep learning framework was 78%, with sensitivity of 83.9% and specificity of 71.4%. CONCLUSION: Loss of smell or taste, neutropenia, monocytosis, and high serum ferritin should be routinely assessed with suspected COVID-19 infection. The use of deep learning for diagnosis is a promising tool that can be implemented in the primary care setting.

Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model.

OBJECTIVES: During the COVID-19 pandemic, a quick and reliable phone-triage system is critical for early care and efficient distribution of hospital resources. The study aimed to assess the accuracy of the traditional phone-triage system and phone triage-driven deep learning model in the prediction of positive COVID-19 patients. SETTING: This is a retrospective study conducted at the family medicine department, Cairo University. METHODS: The study included a dataset of 943 suspected COVID-19 patients from the phone triage during the first wave of the pandemic. The accuracy of the phone triaging system was assessed. PCR-dependent and phone triage-driven deep learning model for automated classifications of natural human responses was conducted. RESULTS: Based on the RT-PCR results, we found that myalgia, fever, and contact with a case with respiratory symptoms had the highest sensitivity among the symptoms/ risk factors that were asked during the phone calls (86.3%, 77.5%, and 75.1%, respectively). While immunodeficiency, smoking, and loss of smell or taste had the highest specificity (96.9%, 83.6%, and 74.0%, respectively). The positive predictive value (PPV) of phone triage was 48.4%. The classification accuracy achieved by the deep learning model was 66%, while the PPV was 70.5%. CONCLUSION: Phone triage and deep learning models are feasible and convenient tools for screening COVID-19 patients. Using the deep learning models for symptoms screening will help to provide the proper medical care as early as possible for those at a higher risk of developing severe illness paving the way for a more efficient allocation of the scanty health resources.

Molecular characterization of carbapenem-resistant Acinetobacter baumannii clinical isolates from Egyptian patients.

Acinetobacter baumannii (A. baumannii) represents a global threat owing to its ability to resist most of the currently available antimicrobial agents. Moreover, emergence of carbapenem resistant A. baumannii (CR-AB) isolates limits the available treatment options. Enzymatic degradation by variety of ß-lactamases, have been identified as the most common mechanism of carbapenem resistance in A. baumannii. The alarming increase in the prevalence of CR-AB necessitates continuous screening and molecular characterization to appreciate the problem. The present study was performed to assess the prevalence and characterize carbapenemases among 206 CR-AB isolated from various clinical specimens collected from different intensive care units at Kasr Al-Aini Hospital. All isolates were confirmed to be A. baumannii by detection of the blaOXA-51-like gene. Molecular screening of 13 common Ambler class bla carbapenemases genes in addition to insertion sequence (IS-1) upstream OXA-23 were performed by using four sets of multiplex PCR, followed by identification using gene sequencing technology. Among the investigated genes, the prevalence of blaOXA-23, and blaOXA-58 were 77.7%, and 1.9%, respectively. The ISAba1 was detected in 10% of the blaOXA-23 positive isolates. The prevalence of metallo-ß-lactamases (MBLs) studied; blaNDM-1, blaSPM, blaVIM, blaSIM-1 were 11.7%, 6.3%, 0.5%, and 0.5% respectively. One of class A; bla KPC was detected in 10.7% of the investigated isolates. blaOXA-24/40, blaIMP, blaGES, blaVEB and blaGIM were not detected in any of the studied isolates. Moreover, 18.4% of the isolates have shown to harbor two or more of the screened bla genes. We concluded that the most prevalent type of ß-lactamases genes among CR-AB isolates collected from Egyptian patients were blaOXA-23 followed by blaNDM-1 and blaKPC.

Glycerol 85% efficacy on atopic skin and its microbiome: a randomized controlled trial with clinical and bacteriological evaluation.

BACKGROUND: Treating atopic dermatitis (AD) is still a challenge. The staphylococcal skin load is known to aggravate AD. Narrow band ultraviolet B (NB-UVB) and glycerol in low concentration (20-40%) are established therapies for AD. NB-UVB has proven antimicrobial actions, while high concentration glycerol (85-100%) showed similar effects in vitro but has not been clinically tested. OBJECTIVE: To evaluate the efficacy and tolerability of concentrated glycerol 85% compared to NB-UVB in patients with AD, as assessed by clinical improvement and reduction of staphylococcal colonization of the skin. METHODS: 30 patients with mild to moderate AD were randomized into either NB-UVB or glycerol 85% group. Patients were treated for one month and followed for an additional month. Swabs were taken from the skin and nose to be cultured on mannitol-salt agar for Staphylococci and quantified to determine Colony Forming Units. RESULTS: Both groups showed statistically insignificant microbial changes and statistically significant clinical improvement after treatment. The results were comparable between both groups. CONCLUSIONS: Concentrated glycerol 85% is a cheap effective readily accessible alternative for phototherapy in patients with mild-moderate AD who cannot access the facility. Reduction of staphylococcal skin load seems to be involved, but its role is minimal.

Interleukin-17 Gene Expression and Serum Levels in AsthmaDegenerative Model.

Asthma is one of the most common chronic respiratory diseases. It is associated with significant morbidity and shows an increasing prevalence over time. Accumulating evidence suggests that interleukin (IL)-17 has a key role in severe asthma. The aim of the study was to determine quantitatively gene expression of IL-17 in peripheral blood mononuclear cells (PBMN) & the level of IL-17 in the serum of asthmatic patients, to correlate the level of IL-17 with the severity of asthma and to compare between gene expression of IL-17 and its serum level. Forty (40) asthmatic patients were enrolled and subdivided into 2 subgroups; controlled & uncontrolled asthma according to GINA, 2014. In addition, twenty (20) healthy control subjects were included. Blood samples were subjected to real time PCR assays for IL-17 mRNA gene expression and serum was tested by ELISA for estimation of IL-17 serum levels. Significant higher serum IL-17 levels were found in patients with uncontrolled asthma compared to patients with controlled asthma and healthy control group. Mean serum IL-17 value was 87.24 pg/ml in uncontrolled asthma, 75.9 pg/ml in controlled asthma and 47.0 pg/ml in healthy group (P= 0.00). IL-17 mRNA gene expression levels (ΔΔ Ct) were also significantly elevated in uncontrolled asthma compared to patients with controlled asthma and healthy control group. Mean IL-17 mRNA gene expression levels were 33.7 units in uncontrolled asthma, 7.0 in controlled asthma and 0.30 in healthy group (P=0.00).

Diagnostic Role of CD64 on Different Immune Cells in Early Diagnosis of Neonatal Sepsis.

Neonatal sepsis is an important cause of morbidity and mortality among neonates. Early diagnosis leads to better prognosis. CD64 can be used as an early marker to detect neonatal sepsis with promising results. Advances in flow cytometry have made it possible to assess its level on different white blood cells rapidly, precisely and with minimal blood. The aim of the present work was to assess the role of CD64 expressed on neutrophils, monocytes and lymphocytes in establishing diagnosis of neonatal sepsis as well as to compare its diagnostic value with CRP in diagnosis of neonatal sepsis. This study was performed on 80 neonates divided into 60 cases of neonatal sepsis (48 case of clinical sepsis & 12 cases of lab confirmed sepsis) and 20 healthy control neonates. Cases and controls were subjected to history taking, clinical examination and lab investigations in the form of CBC, CRP, CD64 expression on neutrophils, monocytes & lymphocytes and Blood culture (for cases only). Our study showed that CD64 expression on WBCs increases significantly in neonates with neonatal sepsis (P < 0.05) in comparison to controls. Results also showed that neutrophils CD 64 is the most sensitive indicator for detection of sepsis (sensitivity=95%, NPV=78.57%) at a cut off value of 0.18%, whereas CRP has shown the best specificity at a cut off value 3mg/Ml (specificity= 85%). In conclusion, neutrophil CD64 is superior to monocyte and lymphocyte CD64 and serum CRP in diagnosis of neonatal sepsis.

Evaluation of a novel commercial quaternary ammonium compound for eradication of Mycobacteria, HCV and HBV in Egypt.

Endoscopes are a common source of outbreaks of healthcare-associated infections. It is therefore important to identify high-level disinfectants capable of eliminating or killing all vegetative bacteria, mycobacteria, and viruses. Aldehydebased disinfectants are most commonly used in clinical practice but resistance has recently been detected and side effects associated with these disinfectants are well documented. In this study, we evaluated Virusolve+® EDS, a novel quaternary ammonium compound formulation supplied by Amity international, against Mycobacterium bovis (ATCC-27289), hepatitis C virus (HCV)-positive serum and hepatitis B surface antigen-positive serum. We also compared its efficacy against Cidex® (glutaraldehyde 2%), an aldehyde-based disinfectant. M. bovis showed no growth after 10 weeks with either Virusolve+® or Cidex®. Virusolve+® achieved a 10(4)- fold reduction in the initial 10(6) HCV load under clean conditions (without red blood cells) for 20 min, whereas Cidex® achieved this reduction under clean and dirty conditions (without and with red blood cells, respectively) after both 10 and 20 min. Both Virusolve+® and Cidex® were able to eradicate hepatitis B virus (HBV) infectivity under clean conditions after 10 and 20 min, whereas under dirty conditions they were only able to eradicate virus infectivity after 20 min. Virusolve+® EDS when compared with Cidex® showed equal mycobactericidal activity completely eradicating M. bovis. However, both showed comparable virucidal activity against HBV, which was more effective under clean conditions, emphasizing the importance of the cleaning step in endoscope reprocessing. Cidex® was more effective at eradicating HCV under dirty conditions after a short contact time.