Neutrophil Cytosolic Factor-1 Genotyping in Acne Vulgaris.

Acne vulgaris (AV) is a very common inflammatory dermatosis. It has a complex pathogenesis in which oxidative stress plays an important role. Neutrophil cytosolic factor (NCF)-1 gene encodes for NCF1 protein which shares in reactive oxygen species (ROS) production. Copy number variation (CNV) is a type of genetic variance in which gene copies are duplicated or deleted. The current work aimed to detect the association between NCF1 CNV and NCF-1 genotypes and AV to explore their possible role in increased disease risk or influencing its clinical presentation. Twenty-five cases with AV and 25 age- and gender-matched healthy volunteers were selected. NCF1 CNV and genotypes were determined using quantitative real-time polymerase chain reaction. NCF1 copy number was significantly increased in patients compared to the control group (p = 0.02). Higher copy number increased the risk of occurrence of AV by about 4-fold. The NCF1 genotype was more prevalent in patients (72%) compared to NCF1B (24%) and NCF1C (4%) variants, while NCF1B and NCF1C variants (68%) were more prevalent in the control group. The NCF1B genotype decreased the risk of occurrence of AV by 0.2-fold. NCF1 was significantly associated with cases more than controls (p = 0.005). It increased the risk of occurrence of acne by 5.4-fold. There was significant association between NCF1 copy number and disease duration where higher number was associated with long disease duration (p = 0.03). Higher copy number was also associated with the NCF1 genotype (p = 0.01). This study suggests that increased copy number of NCF1 gene may be a predisposing factor for AV development. However, the presence of NCF1B and NCF1C variants lowers ROS production and subsequently decreases the risk of development of AV.

Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study.

We aimed to assess the epidemiological, clinical, and laboratory characteristics associated with mortality among hospitalized Egyptian patients with COVID-19. A multicenter, retrospective study was conducted on all polymerase chain reaction (PCR)-confirmed COVID-19 cases admitted through the period from April to July 2020. A generalized linear model was reconstructed with covariates based on predictor's statistical significance and clinically relevance. The odds ratio (OR) was calculated by using stepwise logistic regression modeling. A total of 3712 hospitalized patients were included; of them, 900 deaths were recorded (24.2%). Compared to survived patients, non-survived patients were more likely to be older than 60 years (65.7%), males (53.6%) diabetic (37.6%), hypertensive (37.2%), and had chronic renal insufficiency (9%). Non-survived patients were less likely to receive azithromycin (p <0.001), anticoagulants (p <0.001), and steroids (p <0.001). We found that age ≥ 60 years old (OR = 2.82, 95% CI 2.05-3.86; p <0.0001), diabetes mellitus (OR = 1.58, 95% CI 1.14-2.19; p = 0.006), hypertension (OR = 1.69, 95% CI 1.22-2.36; p = 0.002), chronic renal insufficiency (OR = 3.15, 95% CI 1.84-5.38; p <0.0001), tachycardia (OR = 1.65, 95% CI 1.22-2.23; p <0.001), hypoxemia (OR = 5.69, 95% CI 4.05-7.98; p <0.0001), GCS <13 (OR 515.2, 95% CI 148.5-1786.9; p <0.0001), the use of therapeutic dose of anticoagulation (OR = 0.4, 95% CI 0.22-0.74, p = 0.003) and azithromycin (OR = 0.16, 95% CI 0.09-0.26; p <0.0001) were independent negative predictors of mortality. In conclusion, age >60 years, comorbidities, tachycardia, hypoxemia, and altered consciousness level are independent predictors of mortality among Egyptian hospitalized patients with COVID-19. On the other hand, the use of anticoagulants and azithromycin is associated with reduced mortality.

Predictors of severity and development of critical illness of Egyptian COVID-19 patients: A multicenter study.

OBJECTIVES: We conducted the present multicenter, retrospective study to assess the epidemiological, clinical, laboratory, and radiological characteristics associated with critical illness among patients with COVID-19 from Egypt. METHODS: The present study was a multicenter, retrospective study that retrieved the data of all Egyptian cases with confirmed COVID-19 admitted to hospitals affiliated to the General Organization for Teaching Hospitals and Institutes (GOTHI) through the period from March to July 2020. The diagnosis of COVID-19 was based on a positive reverse transcription-polymerase chain reaction (RT-PCR) laboratory test. RESULTS: This retrospective study included 2724 COVID-19 patients, of whom 423 (15.52%) were critically ill. Approximately 45.86% of the critical group aged above 60 years, compared to 39.59% in the non-critical group (p = 0.016). Multivariate analysis showed that many factors were predictors of critically illness, including age >60 years (OR = 1.30, 95% CI [1.05, 1.61], p = 0.014), low oxygen saturation (OR = 0.93, 95% CI [0.91, 0.95], p<0.001), low Glasgow coma scale (OR = 0.75, 95% CI [0.67, 0.84], p<0.001), diabetes (OR = 1.62, 95% CI [1.26, 2.08], p<0.001), cancer (OR = 2.47, 95% CI [1.41, 4.35], p = 0.002), and serum ferritin (OR = 1.004, 95% CI [1.0003, 1.008], p = 0.031). CONCLUSION: In the present report, we demonstrated that many factors are associated with COVID-19 critical illness, including older age groups, fatigue, elevated temperature, increased pulse, lower oxygen saturation, the preexistence of diabetes, malignancies, cardiovascular disease, renal diseases, and pulmonary disease. Moreover, elevated serum levels of ALT, AST, and ferritin are associated with worse outcomes. Further studies are required to identify independent predictors of mortality for patients with COVID-19.