Publications by authors named "Z Choudhry"
Background And Aims: An exploratory focus group study was conducted to better understand the needs of patients living with generalized myasthenia gravis (gMG).
Methods: US-based adults with gMG and caregivers of patients with gMG participated in a Patient Engagement Research Council between August 2022 and January 2023. The study consisted of a 15-min prework survey, followed by virtual focus groups facilitated using a semi-structured interview guide.
Background: Insomnia is a common symptom of major depressive disorder (MDD). Presence of insomnia symptoms in MDD (MDDIS) has been associated with worse depression severity and outcomes. This study assessed the economic and clinical burden of MDDIS in the United States.
View Article and Find Full Text PDFSystemic lupus erythematosus (SLE) is an autoimmune disease directed against nuclear antigens, including those derived from apoptotic microparticles (MPs) and neutrophil extracellular traps (NETs). Here we investigated whether nuclear autoantigens can induce trained immunity in SLE patients. Trained immunity is a de facto innate immune memory elicited by an initial stimulus that induces a more vigorous long-term inflammatory response to subsequent stimuli.
View Article and Find Full Text PDFArticle Synopsis
- A study analyzed clinical characteristics of myasthenia gravis (MG) patients using real-world data from a multinational survey conducted in 2020.
- Results showed that patients in MGFA class I had less impairment in daily activities compared to classes II and III/IV, although some within class I still reported serious symptoms like bulbar issues and shortness of breath.
- Despite variations in symptom severity across MGFA classes, all patients faced risks for myasthenic crises, hospitalization, and mental health issues.
Background And Aims: Due to the high symptom and treatment burden in myasthenia gravis (MG), understanding patient and care partner perspectives and preferences is crucial.
Methods: This study used voice analysis and virtual focus groups to understand patient and care partner experiences with MG-related symptoms, treatments, and preferences. The voice analysis via social media listening used artificial intelligence-powered tools to gather and structure public digital conversations on MG.