Interferon-Induced Transmembrane Protein-3 Rs12252-G Variant Increases COVID-19 Mortality Potential in Egyptian Population.

Coronavirus disease 2019 (COVID-19) represented an international health risk. Variants of the interferon-induced transmembrane protein-3 (IFITM3) gene can increase the risk of developing severe viral infections. This cross-sectional study investigated the association between IFITM3 rs12252A>G single nucleotide polymorphism (SNP) and COVID-19 severity and mortality in 100 Egyptian patients. All participants were subjected to serum interleukin-6 (IL-6) determination by ELISA and IFITM3 rs12252 genotyping by real-time polymerase chain reaction. Of all participants, 85.0% had the IFITM3 rs12252 homozygous AA genotype, whereas 15.0% had the heterozygous AG genotype. None of our participants had the homozygous GG genotype. The IFITM3 rs12252A allele was found in 92.5% and the G allele in only 7.5%. There was no significant association (p > 0.05) between the IFITM3 rs12252 SNP and COVID-19 severity, intensive care unit (ICU) admission, or IL-6 serum levels. The heterozygous AG genotype frequency showed a significant increase among participants who died (32.0%) compared with those who had been cured (9.3%). The mutant G allele was associated with patients' death. Its frequency among cured participants was 8.5%, whereas in those who died was 24.2% (p = 0.024) with 3.429 odds ratio [95% confidence interval: 1.1-10.4]. In conclusion, this study revealed a significant association between the G allele variant of IFITM3 rs12252 and COVID-19 mortality. However, results were unable to establish a significant link between rs12252 polymorphism, disease severity, ICU admission, or serum IL-6 levels.

Developing a mortality risk prediction model using data of 3663 hospitalized COVID-19 patients: a retrospective cohort study in an Egyptian University Hospital.

PURPOSE: Since the declaration of COVID-19 as a pandemic, a wide between-country variation was observed regarding in-hospital mortality and its predictors. Given the scarcity of local research and the need to prioritize the provision of care, this study was conducted aiming to measure the incidence of in-hospital COVID-19 mortality and to develop a simple and clinically applicable model for its prediction. METHODS: COVID-19-confirmed patients admitted to the designated isolation areas of Ain-Shams University Hospitals (April 2020-February 2021) were included in this retrospective cohort study (n = 3663). Data were retrieved from patients' records. Kaplan-Meier survival and Cox proportional hazard regression were used. Binary logistic regression was used for creating mortality prediction models. RESULTS: Patients were 53.6% males, 4.6% current smokers, and their median age was 58 (IQR 41-68) years. Admission to intensive care units was 41.1% and mortality was 26.5% (972/3663, 95% CI 25.1-28.0%). Independent mortality predictors-with rapid mortality onset-were age ≥ 75 years, patients' admission in critical condition, and being symptomatic. Current smoking and presence of comorbidities particularly, obesity, malignancy, and chronic haematological disorders predicted mortality too. Some biomarkers were also recognized. Two prediction models exhibited the best performance: a basic model including age, presence/absence of comorbidities, and the severity level of the condition on admission (Area Under Receiver Operating Characteristic Curve (AUC) = 0.832, 95% CI 0.816-0.847) and another model with added International Normalized Ratio (INR) value (AUC = 0.842, 95% CI 0.812-0.873). CONCLUSION: Patients with the identified mortality risk factors are to be prioritized for preventive and rapid treatment measures. With the provided prediction models, clinicians can calculate mortality probability for their patients. Presenting multiple and very generic models can enable clinicians to choose the one containing the parameters available in their specific clinical setting, and also to test the applicability of such models in a non-COVID-19 respiratory infection.

Appropriateness of hospital admissions in a university hospital in Egypt: Analyzing a preintervention phase.

Background: Identifying the magnitude of this improper use and applying interventions to eliminate unnecessary hospitalization will reduce health-care expenditure, improve the quality of care for patients, and increase the accessibility to care for actual patients in need on waiting lists. Aim of Work To measures the rate of inappropriate admissions at the Ain Shams University Hospital. Methods: This research is the preintervention phase of a study conducted to improve the appropriateness of patient admission at this hospital. The appropriateness evaluation protocol (AEP) was used to review the appropriateness of 576 hospital admissions over 100 days. The patients' medical records were stratified according to the admission route into two groups, namely emergency and outpatient admission. Next, the systematic random samples were taken from each stratum based on the admission list of the previous day. Results: The results showed that 20.5% of the sampled cases were inappropriately admitted. Furthermore, a statistically significant difference was observed between appropriately and inappropriately admitted cases regarding gender and shifts during which admission occurred in addition to body systems affected; inappropriate admissions were more among females, and admissions occurred most frequently during the morning shifts (8:00 am-2:00 pm). The remaining other factors that were studied also proved insignificant. Conclusion: It can be concluded that a considerable proportion of hospital admissions is inappropriate, especially in the elective surgery department, and these admissions vary according to patient's gender, shifts during which admission occurred, and the affected body systems. Recommendations: Adopting hospital admission policies based on the AEP criteria in addition to training of physicians on these criteria would help prevent inappropriate admission and ensure optimization during use of hospital facilities.

Natural killer NKG2A and NKG2D in patients with colorectal cancer.

BACKGROUND: Natural-killer group 2 (NKG2), a characteristic receptor of natural killer (NK) cell family, assumes a vital role in modulating NK cytotoxic function. We aimed to detect mRNA expression of both NKG2A and NKG2D in serum NK cells obtained from colorectal cancer (CRC) patients. METHODS: We enrolled 36 patients with newly diagnosed CRC, as well as 15 group matched healthy individuals. The patients were further classified into: 23 non-metastatic CRC (group 1) and 13 metastatic CRC (group 2). We detected the expression of NKG2A and NKG2D serum levels for all participants utilizing real-time polymerase chain reaction (RT-PCR). RESULTS: NKG2D and NKG2A mRNA levels in peripheral blood mononuclear cells (PBMCs) were significantly elevated in patients with CRC compared to controls (P<0.01). NKG2D or NKG2A showed sensitivity (77.8, 83.33%) and specificity (73.33, 100%) respectively using receiver-operating characteristic (ROC) curve analysis for discrimination between patients and controls, whereas group 1 and group 2 showed no statistical significant difference in NKG2D and NKG2A levels (P>0.05). CONCLUSIONS: Our work is one of the first research that could detect an increase in NKG2D in CRC. In spite of their defensive role in tumor immune surveillance, NKG2D and NKG2A and their ligands could have misused as tumor survival tool, empowering immune avoidance and suppression.

Assessment of hepatic fibrosis and necroinflammation among inactive HBsAg carriers in Egypt.

UNLABELLED: INTRODUCTION. The inactive hepatitis B surface antigen (HBsAg) carrier state is usually characterized by minimal or absent liver pathology. However, in developing countries, owing to the very early age of infection with hepatitis B virus (HBV), this state is reached after a very prolonged immune tolerant and immune reactive phase, during which considerable liver damage may have occurred. The extent of liver damage in inactive HBsAg carriers has not been thoroughly assessed in developing countries. We thus sought to characterize liver pathology among Egyptian inactive HBsAg carriers. MATERIAL AND METHODS: Liver biopsy was conducted on 30 inactive HBsAg carriers [positive for HBsAg; negative for HBeAg; positive for antibody to HBeAg (anti-HBe); HBV-DNA levels < 2,000 IU/mL; persistently normal serum alanine aminotransferase (ALT)]. Liver histopathology was assessed according to the Ishak scoring system. RESULTS: Among the studied carriers, 6.7% had no hepatic fibrosis, 73.3% had stage 1 fibrosis, and 20% had stage 2 fibrosis. The majority (80%) of carriers had minimal hepatic necroinflammation (grades 2-4), while 20% had mild hepatic necroinflammation (grade 5). All patients with stage 2 fibrosis were males, while no gender predilection was observed for necroinflammation. Age, ALT and HBV-DNA levels did not differ significantly according to fibrosis or necroinflammatory scores. CONCLUSION: Our study findings do not support the presence of significant hepatic fibrosis or necroinflammation among Egyptian inactive HBsAg carriers. However, follow-up studies on these carriers may be required to monitor any further pathological progress of the disease.