R
Reshma Pattani
Researcher at University College London
Publications - 3
Citations - 128
Reshma Pattani is an academic researcher from University College London. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 1 publications receiving 77 citations.
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Consensus-based recommendations for the management of uveitis associated with juvenile idiopathic arthritis: the SHARE initiative
Tamás Constantin,Ivan Foeldvari,Jordi Anton,Joke H. de Boer,Severine Czitrom-Guillaume,Clive Edelsten,Raz Gepstein,Arnd Heiligenhaus,Clarissa Pilkington,Gabriele Simonini,Yosef Uziel,SJ Vastert,Nico M Wulffraat,Anne Mieke J.W. Haasnoot,Karoline Walscheid,Annamária Pálinkás,Reshma Pattani,Zoltán Györgyi,Richárd Kozma,Victor Boom,Andrea Ponyi,Angelo Ravelli,Athimalaipet V Ramanan +22 more
TL;DR: Recommendations for the diagnosis and treatment of JIA-associated uveitis have been formulated by an evidence-informed consensus process to suggest a standard of care for Jia-associated Uveitis patients throughout Europe.
Journal ArticleDOI
Quantitative and qualitative assessment of anterior segment optical coherence tomography capture of disease state in childhood anterior uveitis
Katie Etherton,Jugnoo S Rahi,Harry Petrushkin,Andrew D. Dick,Saira Akbarali,Reshma Pattani,Scott Hau,Sandrine Lacassagne,Xiao-xian Liu,Alastair K Denniston,Ameenat Lola Solebo +10 more
TL;DR: The findings suggest that OCT-based imaging holds the promise of deeper understanding of disease, improved patient experience and more granular monitoring of activity with resultant improved outcomes, but further work is needed to refine acquisition and analysis protocols.
Journal ArticleDOI
Development of a Nationally Agreed Core Clinical Dataset for Childhood Onset Uveitis
Ameenat Lola Solebo,Salomey Kellett,Jugnoo S Rahi,Reshma Pattani,Clive Edelsten,Andrew D. Dick,Alastair K Denniston +6 more
TL;DR: The development of a novel consensus core clinical dataset for the routine collection of clinical data for children diagnosed with non-infectious uveitis will provide a standardized approach to data capture able to support observational clinical studies embedded within routine clinical care and electronic patient record capture.