Yidian Dong1, Jialong Guo1, Liqi Bi2. 1. Department of Rheumatology and Immunology of China-Japan Union Hospital of Jilin University, Changchun, China. 2. Department of Rheumatology and Immunology of China-Japan Union Hospital of Jilin University, Changchun, China biliqi66@126.com.
Abstract
OBJECTIVE: The objective of this study is to investigate the baseline predictors of clinical response from tumor necrosis factor (TNF) inhibitor within ankylosing spondylitis (AS) patients. METHODS: We selected 60 AS patients and 24 healthy individuals. The interleukin (IL)-1β, IL-6, IL-17A and TNF-α levels were measured using the cytometric bead array. The receiver operating characteristic curve was used to analyze the cut off values of baseline predictors. A binary logistic regression test was used to investigate the association between baseline predictors and clinical response. RESULTS: At baseline, the IL-1β, IL-6 and TNF-α level were positively correlated with disease activity. After 12 weeks of treatment, good responders had lower baseline IL-6 level and erythrocyte sedimentation rate (ESR) than non/poor responders. The cut off value of baseline IL-6 level and ESR to predict clinical response of TNF inhibitor treatment were 9.05 pg/mL and 47.00 mm/h, respectively. Binary logistic regression found that baseline IL-6 levels and ESR had an adverse relationship with clinical response, and the combination of IL-6 level and ESR could predict clinical response more effectively. CONCLUSIONS: The baseline IL-6 level and ESR can predict the clinical response of TNF inhibitor treatment within AS patients, which might facilitate the selection and adjustment of medication regimens for subjects.
OBJECTIVE: The objective of this study is to investigate the baseline predictors of clinical response from tumor necrosis factor (TNF) inhibitor within ankylosing spondylitis (AS) patients. METHODS: We selected 60 AS patients and 24 healthy individuals. The interleukin (IL)-1β, IL-6, IL-17A and TNF-α levels were measured using the cytometric bead array. The receiver operating characteristic curve was used to analyze the cut off values of baseline predictors. A binary logistic regression test was used to investigate the association between baseline predictors and clinical response. RESULTS: At baseline, the IL-1β, IL-6 and TNF-α level were positively correlated with disease activity. After 12 weeks of treatment, good responders had lower baseline IL-6 level and erythrocyte sedimentation rate (ESR) than non/poor responders. The cut off value of baseline IL-6 level and ESR to predict clinical response of TNF inhibitor treatment were 9.05 pg/mL and 47.00 mm/h, respectively. Binary logistic regression found that baseline IL-6 levels and ESR had an adverse relationship with clinical response, and the combination of IL-6 level and ESR could predict clinical response more effectively. CONCLUSIONS: The baseline IL-6 level and ESR can predict the clinical response of TNF inhibitor treatment within AS patients, which might facilitate the selection and adjustment of medication regimens for subjects.
Authors: Rajula Gaur; Kofi A Mensah; Jason Stricker; Mary Adams; Anastasia Parton; Dorota Cedzik; Jamie Connarn; Michael Thomas; Gerald Horan; Peter Schafer; Stuart Mair; Maria Palmisano; Francisco Ramírez-Valle Journal: Arthritis Res Ther Date: 2022-08-18 Impact factor: 5.606