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Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases

BACKGROUD: This study is to explore the prevalence of different stages of bone loss and the potential risk factors in rheumatic patients. METHOD: A cross-sectional study recruits 1398 rheumatic patients and 302 healthy subjects. Demographic data, blood, and bone mineral density (BMD) tests are colle...

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Autores principales: Hu, Zhuoran, Xu, Shuiming, Lin, He, Ni, Weifeng, Yang, Qingyuan, Qi, Jun, Du, Keqian, Gu, Jieruo, Lin, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329556/
https://www.ncbi.nlm.nih.gov/pubmed/32605558
http://dx.doi.org/10.1186/s12891-020-03403-1
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author Hu, Zhuoran
Xu, Shuiming
Lin, He
Ni, Weifeng
Yang, Qingyuan
Qi, Jun
Du, Keqian
Gu, Jieruo
Lin, Zhiming
author_facet Hu, Zhuoran
Xu, Shuiming
Lin, He
Ni, Weifeng
Yang, Qingyuan
Qi, Jun
Du, Keqian
Gu, Jieruo
Lin, Zhiming
author_sort Hu, Zhuoran
collection PubMed
description BACKGROUD: This study is to explore the prevalence of different stages of bone loss and the potential risk factors in rheumatic patients. METHOD: A cross-sectional study recruits 1398 rheumatic patients and 302 healthy subjects. Demographic data, blood, and bone mineral density (BMD) tests are collected. Risk factors for bone loss in rheumatic patients are analyzed by logistic regression. RESULTS: (1) Rheumatic patients are consisted of 40.0% rheumatoid arthritis (RA), 14.7% systemic lupus erythematosus (SLE), 14.2% osteoarthritis (OA), 9.2% ankylosing spondylosis (AS), 7.9% gout, 7.0% primary Sjogren syndrome (pSS), 3.8% systemic sclerosis (SSc), and 3.2% mixed connective tissue disease (MCTD). (2) In male patients aged under 50 and premenopausal female patients, the bone mineral density score of AS (53.9%, P < 0.001) and SLE (39.6%, P = 0.034) patients is lower than the healthy controls (18.2%). (3) Osteopenia and osteoporosis are more prevailing in male patients aged or older than 50 and postmenopausal female patients with RA (P < 0.001), OA (P = 0.02) and SLE (P = 0.011) than healthy counterparts. (4) Those with SLE, RA and AS gain the highest odd ratio of ‘score below the expected range for age’, osteopenia and osteoporosis, respectively. (5) Age, female, low BMI and hypovitaminosis D are found negatively associated with bone loss. Dyslipidemia and hyperuricemia could be protective factors. CONCLUSION: Young patients with AS and SLE have a significant higher occurrence of bone loss, and older patients with RA, OA and SLE had higher prevalence than healthy counterparts. SLE, RA, SSc and AS were founded significant higher risks to develop into bone loss after adjustment. Age, BMI and gender were commonly-associated with bone loss in all age-stratified rheumatic patients. These findings were not markedly different from those of previous studies.
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spelling pubmed-73295562020-07-02 Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases Hu, Zhuoran Xu, Shuiming Lin, He Ni, Weifeng Yang, Qingyuan Qi, Jun Du, Keqian Gu, Jieruo Lin, Zhiming BMC Musculoskelet Disord Research Article BACKGROUD: This study is to explore the prevalence of different stages of bone loss and the potential risk factors in rheumatic patients. METHOD: A cross-sectional study recruits 1398 rheumatic patients and 302 healthy subjects. Demographic data, blood, and bone mineral density (BMD) tests are collected. Risk factors for bone loss in rheumatic patients are analyzed by logistic regression. RESULTS: (1) Rheumatic patients are consisted of 40.0% rheumatoid arthritis (RA), 14.7% systemic lupus erythematosus (SLE), 14.2% osteoarthritis (OA), 9.2% ankylosing spondylosis (AS), 7.9% gout, 7.0% primary Sjogren syndrome (pSS), 3.8% systemic sclerosis (SSc), and 3.2% mixed connective tissue disease (MCTD). (2) In male patients aged under 50 and premenopausal female patients, the bone mineral density score of AS (53.9%, P < 0.001) and SLE (39.6%, P = 0.034) patients is lower than the healthy controls (18.2%). (3) Osteopenia and osteoporosis are more prevailing in male patients aged or older than 50 and postmenopausal female patients with RA (P < 0.001), OA (P = 0.02) and SLE (P = 0.011) than healthy counterparts. (4) Those with SLE, RA and AS gain the highest odd ratio of ‘score below the expected range for age’, osteopenia and osteoporosis, respectively. (5) Age, female, low BMI and hypovitaminosis D are found negatively associated with bone loss. Dyslipidemia and hyperuricemia could be protective factors. CONCLUSION: Young patients with AS and SLE have a significant higher occurrence of bone loss, and older patients with RA, OA and SLE had higher prevalence than healthy counterparts. SLE, RA, SSc and AS were founded significant higher risks to develop into bone loss after adjustment. Age, BMI and gender were commonly-associated with bone loss in all age-stratified rheumatic patients. These findings were not markedly different from those of previous studies. BioMed Central 2020-06-30 /pmc/articles/PMC7329556/ /pubmed/32605558 http://dx.doi.org/10.1186/s12891-020-03403-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Hu, Zhuoran
Xu, Shuiming
Lin, He
Ni, Weifeng
Yang, Qingyuan
Qi, Jun
Du, Keqian
Gu, Jieruo
Lin, Zhiming
Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases
title Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases
title_full Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases
title_fullStr Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases
title_full_unstemmed Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases
title_short Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases
title_sort prevalence and risk factors for bone loss in southern chinese with rheumatic diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329556/
https://www.ncbi.nlm.nih.gov/pubmed/32605558
http://dx.doi.org/10.1186/s12891-020-03403-1
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