Ocular surface inflammatory disorder (OSID) is a chronic ocular disease caused by systemic disorders or involving the local immune system.OSID induces persistent inflammatory reaction in the ocular adnexal connective tissues which in turn give rise to tear hypertonicity and ocular surface epithelial damage, leading to dry eye formation or progression.Common immune-related ocular surface diseases include vernal keratoconjunctivitis, Sj?gren syndrome, graft versus host disease, dry eye and immune-related corneal disease, all of which can significantly impact the visual function and quality of life of patients.Current treatments including the use of artificial tears and glucocorticoid eye drops are not always effective and have the risk of adverse events.Cyclosporine A (CsA) is a commonly utilized immunosuppressant that has a strong immunomodulatory effect, but its clinical application is somewhat limited due to the low permeability of its current ophthalmic dosage form.The development of CsA ophthalmic agents has changed the treatment strategy for OSID.The development of 0.1% CsA cationic emulsion has significantly improved the efficacy and safety of topical CsA treatment, which is worth the attention.In order to rationally apply 0.1% CsA cationic emulsion to OSID, ophthalmologists should fully understand the immune-related pathogenesis of each OSID and comprehend the curative effect, indication, application methods and adverse events of topical CsA treatment.

Objective To understand the trajectory and classification of adult body mass index(BMI)in Jiangsu Province.Methods Based on China Health and Nutrition Survey,this study used the linear mixed model tree to explore the trajectory and classification of BMI of people aged 18-65 in Jiangsu Province.Results The linear mixed model tree had 13 nodes and the depth was 6.The classification nodes were baseline BMI,average calorie intake and baseline age.Conclusion The linear mixed model tree can identify the trajectory of BMI and expand the research method of longitudinal data.