Moustafa Ali Saad

@medicine.cu.edu.eg

Rheumatology and Immunology unit, Internal Medicine department, Kasr Alainy Faculty of Medicine, Cairo University
Kasralainy

RESEARCH, TEACHING, or OTHER INTERESTS

Medicine, Rheumatology

4

Scopus Publications

Scopus Publications

  • IgG4 related pericardium and lung disease in pediatric patient complicated with fatal massive hemoptysis: a case report and review of literature
    Moustafa Ali Saad, Hamdy Ahmed, Rasmia Elgohary, and Hala Ibrahem El Gendy

    Springer Science and Business Media LLC
    Abstract Background IgG4-related disease (IgG4-RD) is a progressive and sometimes fatal disease that rarely affects pediatric age group. It may affect the orbits, lacrimal and salivary glands, pancreas, kidneys, peritoneum and other organs. Lung and pleura are not commonly reported in IgG4-RD. We here present a rare case of pediatric IgG4-RD with rare involvement of pericardium, pleura and lungs. Case presentation A 13-year-old girl presented with intrathoracic IgG4-RD with pleuropericardial involvement. She showed initial improvement on prednisolone. Azathioprine and then mycophenolate failed to control relapses during steroid tapering. Her last relapse was treated by rituximab however, the patient developed acute fatal massive hemoptysis. Conclusions Pediatric IgG4-RD is a rare entity with pericardio-pulmonary affection as the rare of the rare. Usual treatment of prednisolone and steroid sparing agents should be used, with rituximab used as a rescue therapy, but fatal complications may occur.

  • Clinical and laboratory features associated with macrophage activation syndrome in Still’s disease: data from the international AIDA Network Still’s Disease Registry
    Paola Triggianese, Antonio Vitale, Giuseppe Lopalco, Henrique Ayres Mayrink Giardini, Francesco Ciccia, Ibrahim Al-Maghlouth, Piero Ruscitti, Petros Paul Sfikakis, Florenzo Iannone, Isabele Parente de Brito Antonelli,et al.

    Springer Science and Business Media LLC
    AbstractTo characterize clinical and laboratory signs of patients with Still’s disease experiencing macrophage activation syndrome (MAS) and identify factors associated with MAS development. Patients with Still’s disease classified according to internationally accepted criteria were enrolled in the AutoInflammatory Disease Alliance (AIDA) Still’s Disease Registry. Clinical and laboratory features observed during the inflammatory attack complicated by MAS were included in univariate and multivariate logistic regression analysis to identify factors associated to MAS development. A total of 414 patients with Still’s disease were included; 39 (9.4%) of them developed MAS during clinical history. At univariate analyses, the following variables were significantly associated with MAS: classification of arthritis based on the number of joints involved (p = 0.003), liver involvement (p = 0.04), hepatomegaly (p = 0.02), hepatic failure (p = 0.01), axillary lymphadenopathy (p = 0.04), pneumonia (p = 0.03), acute respiratory distress syndrome (p < 0.001), platelet abnormalities (p < 0.001), high serum ferritin levels (p = 0.009), abnormal liver function tests (p = 0.009), hypoalbuminemia (p = 0.002), increased LDH (p = 0.001), and LDH serum levels (p < 0.001). At multivariate analysis, hepatomegaly (OR 8.7, 95% CI 1.9–52.6, p = 0.007) and monoarthritis (OR 15.8, 95% CI 2.9–97.1, p = 0.001), were directly associated with MAS, while the decade of life at Still’s disease onset (OR 0.6, 95% CI 0.4–0.9, p = 0.045), a normal platelet count (OR 0.1, 95% CI 0.01–0.8, p = 0.034) or thrombocytosis (OR 0.01, 95% CI 0.0–0.2, p = 0.008) resulted to be protective. Clinical and laboratory factors associated with MAS development have been identified in a large cohort of patients based on real-life data.

  • Development and implementation of the AIDA international registry for patients with Schnitzler's syndrome
    Jurgen Sota, Antonio Vitale, Ewa Więsik-Szewczyk, Micol Frassi, Giuseppe Lopalco, Giacomo Emmi, Marcello Govoni, Amato de Paulis, Achille Marino, Antonio Gidaro,et al.

    Frontiers Media SA
    ObjectiveThe present paper describes the design, development, and implementation of the AutoInflammatory Disease Alliance (AIDA) International Registry specifically dedicated to patients with Schnitzler's syndrome.MethodsThis is a clinical physician-driven, population- and electronic-based registry implemented for the retrospective and prospective collection of real-life data from patients with Schnitzler's syndrome; the registry is based on the Research Electronic Data Capture (REDCap) tool, which is designed to collect standardized information for clinical research, and has been realized to change over time according to future scientific acquisitions and potentially communicate with other existing or future similar registries.ResultsSince its launch, 113 centers from 23 countries in 4 continents have been involved. Fifty-seven have already obtained the approval from their local Ethics Committees. The platform counts 324 users (114 Principal Investigators, 205 Site Investigators, 2 Lead Investigators, and 3 data managers) at current (April 28th, 2022). The registry collects baseline and follow-up data using 3,924 fields organized into 25 instruments, including patient's demographics, history, clinical manifestations and symptoms, trigger/risk factors, laboratory, instrumental exams, therapies, socioeconomic information, and healthcare access.ConclusionsThis International Registry for patients with Schnitzler's syndrome facilitates standardized data collection, enabling international collaborative projects through data sharing and dissemination of knowledge; in turn, it will shed light into many blind spots characterizing this complex autoinflammatory disorder.

  • Development and Implementation of the AIDA International Registry for Patients With Undifferentiated Systemic AutoInflammatory Diseases
    Francesca Della Casa, Antonio Vitale, Giuseppe Lopalco, Piero Ruscitti, Francesco Ciccia, Giacomo Emmi, Marco Cattalini, Ewa Wiesik-Szewczyk, Maria Cristina Maggio, Benson Ogunjimi,et al.

    Frontiers in Medicine Frontiers Media SA
    ObjectiveThis paper points out the design, development and deployment of the AutoInflammatory Disease Alliance (AIDA) International Registry dedicated to pediatric and adult patients affected by Undifferentiated Systemic AutoInflammatory Diseases (USAIDs).MethodsThis is an electronic registry employed for real-world data collection about demographics, clinical, laboratory, instrumental and socioeconomic data of USAIDs patients. Data recruitment, based on the Research Electronic Data Capture (REDCap) tool, is designed to obtain standardized information for real-life research. The instrument is endowed with flexibility, and it could change over time according to the scientific acquisitions and potentially communicate with other similar tools; this platform ensures security, data quality and data governance.ResultsThe focus of the AIDA project is connecting physicians and researchers from all over the world to shed a new light on heterogeneous rare diseases. Since its birth, 110 centers from 23 countries and 4 continents have joined the AIDA project. Fifty-four centers have already obtained the approval from their local Ethics Committees. Currently, the platform counts 290 users (111 Principal Investigators, 179 Site Investigators, 2 Lead Investigators, and 2 data managers). The Registry is collecting baseline and follow-up data using 3,769 fields organized into 23 instruments, which include demographics, history, symptoms, trigger/risk factors, therapies, and healthcare information access for USAIDs patients.ConclusionsThe development of the AIDA International Registry for USAIDs patients will facilitate the online collection of real standardized data, connecting a worldwide group of researchers: the Registry constitutes an international multicentre observational groundwork aimed at increasing the patient cohort of USAIDs in order to improve our knowledge of this peculiar cluster of autoinflammatory diseases. NCT 05200715 available at https://clinicaltrials.gov/.