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The proliferation of acute myeloid leukemia (AML) blast into the bone marrow microenvironment is controlled by cytokines. Interleukin-4 (IL-4) has recently been discovered to suppress the development and persistence of AML cells selectively. Intron three of the Interleukin-4 (IL-4) gene contains a 70-bp minisatellite region polymorphism that may influence gene transcriptional activity and subsequently affect the production level of IL4. We investigated the IL-4 gene intron three variable number tandem repeat (VNTR) polymorphism as a molecular marker in AML associated with clinical and laboratory variables and a prognostic factor for therapeutic response and disease outcome. IL-4 gene intron three minisatellite regions polymorphism was assessed in 60 adult AML patients and 60 healthy controls, comparable concerning age and gender, using polymerase chain reaction. Three study marker genotypes were detected in AML patients; P1/P1 (3%), P1/P2 (40%), and P2/P2 (56.7%). The frequency of P2 alleles was significantly more in AML patients than in healthy controls (76.7% versus 25%; P < 0.001). Compared to the heterozygous group and P1/P1 carriers, AML patients with the homozygous P2/P2 genotype had a higher total leucocytic count and increased blast percentages in bone marrow or peripheral blood, besides a lower platelet count. P2P2 genotype was also significantly associated with poor therapeutic response, higher susceptibility to disease recurrence and shorter overall survival and disease-free survival. The IL-4 intron 3 VNTR polymorphism could be included in the molecular risk stratification of AML to predict poor disease. This information can be utilized in incorporating biological therapy into the present therapeutic protocols to enhance chemotherapy regimens' current low response rates.

ObjectivesThe present work was conducted to estimate the prevalence of adult Behçet’s disease (BD) in adult Egyptian and to study the clinical pattern and influence of age at-onset and sex on disease phenotype. Also, we investigated the spectrum of presentation and frequencies along the north-to-south gradient of the country.Patients and methodThe population-based, multicenter, cross-sectional study included 1526 adult BD patients from 26 specialized Egyptian rheumatology centers. Demographic, clinical, and therapeutic data are assessed for all patients.ResultsThe mean age of patients was 35.7 ± 9.84 years, disease duration 6.58 ± 5.25 years, and age at onset 29.37 ± 8.6 years; 91 were juvenile-onset (JoBD). There were 1102 males and 424 females (M:F 2.6:1). Regarding co-morbidities, 19.92% were diabetic, and 26.05% were hypertensive. The mean body mass index was 27.57 ± 5.24 (43.1% overweight; 25.9% obese). The mean BD current activity form was 4.48 ± 4.28. Regarding the medications use, systemic steroid and colchicine were the most common drugs used (947 (90.2%) and 611 (82.7%), respectively). The overall estimated prevalence of BD in Egypt was 3.6/100,000 population being highest in the two main cities: Alexandria (15.27) and Cairo (8.72). Pathergy test was positive in 43.4%. 90.2% were receiving systemic steroids and 8.3%, biologics. Disease characteristics were comparable between JoBD and adult-onset BD cases. Central nervous system (CNS), deep venous thrombosis (DVT), and gastrointestinal (GIT) involvement were significantly higher in males (p = 0.01, p = 0.001, and p = 0.001 respectively) while joint affection (p = 0.001) and disease activity (p = 0.011) were increased in females.ConclusionsThis study provides current prevalence of BD in Egypt; 3.6/100,000 with no remarkable north-to-south gradient. The sex influences the disease phenotype with the CNS, DVT, and GIT involvement are higher in males, while the joint affection and disease activity were increased in females.Key Points• The prevalence and phenotype of Behçet’s disease across Egypt is presented in a multicenter nationwide study.• The potential influence of the age at onset and sex on disease phenotype is highlightened.• A review of the literature worldwide is presented allowing comparisons with studies from other nations.

ObjectivesThe aim of the present work was to explore the perspectives of Egyptian Rheumatology staff members as regards the coronavirus disease-19 (COVID-19) vaccine.MethodsThe survey is composed of 25 questions. Some questions were adapted from the global rheumatology alliance COVID-19 survey for patients.Results187 rheumatology staff members across Egypt from 18 universities and authorizations actively participated with a valid response. The mean time needed to complete the survey was 17.7 ± 13 min. Participants were 159 (85%) females (F:M 5.7:1). One-third agreed that they will be vaccinated once available, 24.6% have already received at least one dose, 29.4% are unsure while 16% will not take it. Furthermore, 70.1% agreed that they will recommend it to the rheumatic diseases (RD) patients once available, 24.1% are not sure while 5.9% will not recommend it. RD priority to be vaccinated against COVID-19 in descending order include SLE (82.9%), RA (55.1%), vasculitis (51.3%), systemic sclerosis (39.6%), MCTD (31.6%), Behcet's disease (28.3%). The most common drugs to be avoided before vaccination included biologics (71.7%), DMARDs (44.4%), biosimilars (26.7%), IVIg (17.1%) and NSAIDs (9.1%).ConclusionsThe results of the study and specifically the low rate of acceptability are alarming to Egyptian health authorities and should stir further interventions to reduce the levels of vaccine hesitancy. As rheumatic disease patients in Egypt were not systematically provided with the vaccine till present, making the vaccine available could as well enhance vaccine acceptance. Further studies to investigate any possible side effects, on a large scale of RD patients are warranted.

To depict the spectrum of rheumatoid arthritis (RA) in Egypt in relation to other universal studies to provide broad-based characteristics to this particular population. This work included 10,364 adult RA patients from 26 specialized Egyptian rheumatology centers representing 22 major cities all over the country. The demographic and clinical features as well as therapeutic data were assessed. The mean age of the patients was 44.8 ± 11.7 years, disease duration 6.4 ± 6 years, and age at onset 38.4 ± 11.6 years; 209 (2%) were juvenile-onset. They were 8750 females and 1614 males (F:M 5.4:1). 8% were diabetic and 11.5% hypertensive. Their disease activity score (DAS28) was 4.4 ± 1.4 and health assessment questionnaire (HAQ) 0.95 ± 0.64. The rheumatoid factor (RF) and anti-cyclic citrullinated peptide (anti-CCP) were positive in 73.7% and 66.7% respectively. Methotrexate was the most used treatment (78%) followed by hydroxychloroquine (73.7%) and steroids (71.3%). Biologic therapy was received by 11.6% with a significantly higher frequency by males vs females (15.7% vs 10.9%, p = 0.001). The least age at onset, F:M, RF and anti-CCP positivity were present in Upper Egypt (p < 0.0001), while the highest DAS28 was reported in Canal cities and Sinai (p < 0.0001). The HAQ was significantly increased in Upper Egypt with the least disability in Canal cities and Sinai (p = 0.001). Biologic therapy intake was higher in Lower Egypt followed by the Capital (p < 0.0001). The spectrum of RA phenotype in Egypt is variable across the country with an increasing shift in the F:M ratio. The age at onset was lower than in other countries.

Background Eye lesions, occur in nearly half of patients with Behçet’s Disease (BD), can lead to irreversible damage and vision loss; however, limited studies are available on identifying risk factors for the development of vision-threatening BD (VTBD). Using an Egyptian college of rheumatology (ECR)-BD, a national cohort of BD patients, we examined the performance of machine-learning (ML) models in predicting VTBD compared to logistic regression (LR) analysis. We identified the risk factors for the development of VTBD. Methods Patients with complete ocular data were included. VTBD was determined by the presence of any retinal disease, optic nerve involvement, or occurrence of blindness. Various ML-models were developed and examined for VTBD prediction. The Shapley additive explanation value was used for the interpretability of the predictors. Results A total of 1094 BD patients [71.5% were men, mean ± SD age 36.1 ± 10 years] were included. 549 (50.2%) individuals had VTBD. Extreme Gradient Boosting was the best-performing ML model (AUROC 0.85, 95% CI 0.81, 0.90) compared with logistic regression (AUROC 0.64, 95%CI 0.58, 0.71). Higher disease activity, thrombocytosis, ever smoking, and daily steroid dose were the top factors associated with VTBD. Conclusions Using information obtained in the clinical settings, the Extreme Gradient Boosting identified patients at higher risk of VTBD better than the conventional statistical method. Further longitudinal studies to evaluate the clinical utility of the proposed prediction model are needed.

BackgroundBehçet’s disease (BD), commonly seen in the Silk road countries, is a variable vessel vasculitis with no specific investigation that reflects disease activity. The Behçet’s Disease Current Activity Form (BDCAF) is the most famous and acceptable clinical activity score.PurposeTo develop a cross-cultural adaptation of the BDCAF to the Arabic language (Ar-BDCAF)—Egyptian dialect—across the country and to consider preliminary evaluation of its reliability in assessment of BD activity.Patients and methodsThe score was translated to Arabic language and revised by 3 rheumatology consultants. Reliability of Ar-BDCAF was tested among 88 BD patients from 9 Egyptian main city centers. Patients were questioned by two specialists at 30 min interval to evaluate inter-observer rating and twice by the same physician within 24 h to assess the intra-observer rating.ResultsPatients were 64 males and 24 females (2.7:1) with a mean age of 35 ± 10.3 years. The average time required by the consultant to fill in the form was 5.1 ± 2.2 min (1.5–15 min). The mean Ar-BDCAF scores were 9.81 ± 6.22 (0–25) and 9.53 ± 6.13 (0–28) with an intra-observer concordance (p = 0.28) and was 9.95 ± 6.47 (0–29) for the inter-observer rating (p = 0.89 and p = 0.66, respectively).ConclusionThe Ar-BDCAF is a measurable, easy to calculate, and reliable index for assessing disease activity in Egyptian BD. The Ar-BDCAF score can be used in daily clinical practice to assess BD activity and its use can be extended to other Arab countries for possible regional validation and adaptations. Key Points• The Arabic version of the BDCAF can be extended to other Arab countries for development of a Pan-Arab score.• This is the first study to provide a reliable and valid Arabic version of the BDCAF-Egyptian dialect for measuring current disease activity in BD patients.

Imaging has long been taking its place in the diagnosis, monitor, and prognosis of rheumatic diseases. It plays a vital role in the appraisal of treatment. Key progress in the clinical practice of rheumatology is the innovation of advanced imaging modalities; such as musculoskeletal ultrasound (MSUS), computerized tomography (CT) and magnetic resonance imaging (MRI). These modalities introduced a promising noninvasive method for visualizing bone and soft tissues to enable an improved diagnosis. The use of MSUS in rheumatology is considered a landmark in the evolution of the specialty and its ease of use and many applications in rheumatic diseases make it a forerunner instrument in the practice. The use of MSUS among rheumatologists must parallel the development rate of the excellence revealed in the specialty. Moreover, innovative interventional imaging in rheumatology (III-R) is gaining fame and key roles in the near future for a comprehensive management of rheumatic diseases with precision. This review article throws light on the emergence of these robust innovations that may reshape the guidelines and practice in rheumatology, in particular, efforts to enhance best practice during the coronavirus disease 2019 (COVID-19) pandemic are endorsed.

A critical step in the diagnosis of multiple sclerosis is to rule out a heterogeneous variety of multiple sclerosis mimickers, which is crucial in the era of powerful immune-modulator treatments. In this review, we discuss the background of toxocariasis in general, present central nervous system Toxocara infection as one of the multiple sclerosis mimickers in the Middle East, and share our experience about the diagnosis and management of this condition. This entity seems very relevant in a region such as the Middle East, where displacement of populations and conflict can result in non-hygienic food and water management bundles. The diagnosis should be entertained, especially when assessing patients with myelopathy. The presence of a single lesion in the spinal cord with inflammatory features should prompt serological testing for Toxocara IgG and IgM in serum and the cerebrospinal fluid. This infection is treatable, with the regimen of high-dose albendazole being one of the most accepted treatments. Although most cases exhibit a good prognosis, some have residual deficits localized to the affected spinal cord level.

Eye lesions, occur in nearly half of patients with Behçet's Disease (BD), can lead to irreversible damage and vision loss; however, limited studies are available on identifying risk factors for the development of vision-threatening BD (VTBD). Using an Egyptian college of rheumatology (ECR)-BD, a national cohort of BD patients, we examined the performance of machine-learning (ML) models in predicting VTBD compared to logistic regression (LR) analysis. We identified the risk factors for the development of VTBD. A total of 1094 BD patients [71.5% were men, mean [+ or -] SD age 36.1 [+ or -] 10 years] were included. 549 (50.2%) individuals had VTBD. Extreme Gradient Boosting was the best-performing ML model (AUROC 0.85, 95% CI 0.81, 0.90) compared with logistic regression (AUROC 0.64, 95%CI 0.58, 0.71). Higher disease activity, thrombocytosis, ever smoking, and daily steroid dose were the top factors associated with VTBD. Using information obtained in the clinical settings, the Extreme Gradient Boosting identified patients at higher risk of VTBD better than the conventional statistical method. Further longitudinal studies to evaluate the clinical utility of the proposed prediction model are needed.