Cargando…

Underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the Smart-phone SpondyloArthritis Management System

BACKGROUND: The aim of this study was to examine the impact of underweight, overweight and obesity on clinical outcomes and treatment responses to biologics in Chinese patients with ankylosing spondylitis (AS). METHODS: Body mass index (BMI) was available in 1074 patients from the Smart-phone Spondy...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Lidong, Ji, Xiaojian, Wang, Yiwen, Man, Siliang, Liu, Xingkang, Wang, Lei, Zhu, Jian, Cheng, Jidong, Huang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280843/
https://www.ncbi.nlm.nih.gov/pubmed/34345253
http://dx.doi.org/10.1177/1759720X211030792
_version_ 1783722726153781248
author Hu, Lidong
Ji, Xiaojian
Wang, Yiwen
Man, Siliang
Liu, Xingkang
Wang, Lei
Zhu, Jian
Cheng, Jidong
Huang, Feng
author_facet Hu, Lidong
Ji, Xiaojian
Wang, Yiwen
Man, Siliang
Liu, Xingkang
Wang, Lei
Zhu, Jian
Cheng, Jidong
Huang, Feng
author_sort Hu, Lidong
collection PubMed
description BACKGROUND: The aim of this study was to examine the impact of underweight, overweight and obesity on clinical outcomes and treatment responses to biologics in Chinese patients with ankylosing spondylitis (AS). METHODS: Body mass index (BMI) was available in 1074 patients from the Smart-phone SpondyloArthritis Management System. Patients were categorized into four groups based on BMI: underweight, normal weight, overweight and obesity. Multivariable median regression analyses examined the effect of underweight and obesity on clinical outcomes and treatment response to biologics. RESULTS: Among 1074 patients with AS, normal weight accounted for 49.1%, while underweight, overweight, and obesity for 8.1%, 30.1%, and 12.0%, respectively. Compared to patients with normal weight, patients with underweight, overweight and obesity had an increased disease activity, while patients with underweight and obesity had a significantly poor Bath Ankylosing Spondylitis Functional Index and Assessment of Spondyloarthritis International Society Health Index scores. For tumor necrosis factor (TNF)-α inhibitor users, BMI was found to be negatively correlated with changes in disease activity in the multivariate regression model (all p < 0.05). Besides, the patients using TNF-α inhibitor in the overweight or obesity categories were much less likely to achieve a significant reduction on disease activity during follow-up period in the multivariate regression model (all p < 0.05), taking these with normal-weight patients as a reference. CONCLUSIONS: Both underweight and obesity except for overweight were associated independently with worse disease activity, physical function and health status. Overweight and obesity might impact on treatment responses to biologics in patients with AS. This argues that weight management, to maintain it at a normal level, should be one of the disease management strategies in patients with AS.
format Online
Article
Text
id pubmed-8280843
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-82808432021-08-02 Underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the Smart-phone SpondyloArthritis Management System Hu, Lidong Ji, Xiaojian Wang, Yiwen Man, Siliang Liu, Xingkang Wang, Lei Zhu, Jian Cheng, Jidong Huang, Feng Ther Adv Musculoskelet Dis Original Research BACKGROUND: The aim of this study was to examine the impact of underweight, overweight and obesity on clinical outcomes and treatment responses to biologics in Chinese patients with ankylosing spondylitis (AS). METHODS: Body mass index (BMI) was available in 1074 patients from the Smart-phone SpondyloArthritis Management System. Patients were categorized into four groups based on BMI: underweight, normal weight, overweight and obesity. Multivariable median regression analyses examined the effect of underweight and obesity on clinical outcomes and treatment response to biologics. RESULTS: Among 1074 patients with AS, normal weight accounted for 49.1%, while underweight, overweight, and obesity for 8.1%, 30.1%, and 12.0%, respectively. Compared to patients with normal weight, patients with underweight, overweight and obesity had an increased disease activity, while patients with underweight and obesity had a significantly poor Bath Ankylosing Spondylitis Functional Index and Assessment of Spondyloarthritis International Society Health Index scores. For tumor necrosis factor (TNF)-α inhibitor users, BMI was found to be negatively correlated with changes in disease activity in the multivariate regression model (all p < 0.05). Besides, the patients using TNF-α inhibitor in the overweight or obesity categories were much less likely to achieve a significant reduction on disease activity during follow-up period in the multivariate regression model (all p < 0.05), taking these with normal-weight patients as a reference. CONCLUSIONS: Both underweight and obesity except for overweight were associated independently with worse disease activity, physical function and health status. Overweight and obesity might impact on treatment responses to biologics in patients with AS. This argues that weight management, to maintain it at a normal level, should be one of the disease management strategies in patients with AS. SAGE Publications 2021-07-13 /pmc/articles/PMC8280843/ /pubmed/34345253 http://dx.doi.org/10.1177/1759720X211030792 Text en © The Author(s), 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Hu, Lidong
Ji, Xiaojian
Wang, Yiwen
Man, Siliang
Liu, Xingkang
Wang, Lei
Zhu, Jian
Cheng, Jidong
Huang, Feng
Underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the Smart-phone SpondyloArthritis Management System
title Underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the Smart-phone SpondyloArthritis Management System
title_full Underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the Smart-phone SpondyloArthritis Management System
title_fullStr Underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the Smart-phone SpondyloArthritis Management System
title_full_unstemmed Underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the Smart-phone SpondyloArthritis Management System
title_short Underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the Smart-phone SpondyloArthritis Management System
title_sort underweight and obesity are strong predictors of clinical outcomes in patients with ankylosing spondylitis: data from the smart-phone spondyloarthritis management system
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280843/
https://www.ncbi.nlm.nih.gov/pubmed/34345253
http://dx.doi.org/10.1177/1759720X211030792
work_keys_str_mv AT hulidong underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem
AT jixiaojian underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem
AT wangyiwen underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem
AT mansiliang underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem
AT liuxingkang underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem
AT wanglei underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem
AT zhujian underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem
AT chengjidong underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem
AT huangfeng underweightandobesityarestrongpredictorsofclinicaloutcomesinpatientswithankylosingspondylitisdatafromthesmartphonespondyloarthritismanagementsystem