Cargando…
Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis
BACKGROUND: The objective of this study was to explore the prevalence of change in bone mineral density (BMD) and the potential risk factors for osteopenia and osteoporosis in rheumatic patients. METHODS: An analytical cross-sectional study design was carried out. For this study, one thousand and se...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154412/ https://www.ncbi.nlm.nih.gov/pubmed/32309373 http://dx.doi.org/10.21037/atm.2020.01.08 |
_version_ | 1783521811431948288 |
---|---|
author | Zhang, Xi Dai, Zonglin Lau, Eric H. Y. Cui, Chunping Lin, He Qi, Jun Ni, Weifeng Zhao, Like Lv, Qing Gu, Jieruo Lin, Zhiming |
author_facet | Zhang, Xi Dai, Zonglin Lau, Eric H. Y. Cui, Chunping Lin, He Qi, Jun Ni, Weifeng Zhao, Like Lv, Qing Gu, Jieruo Lin, Zhiming |
author_sort | Zhang, Xi |
collection | PubMed |
description | BACKGROUND: The objective of this study was to explore the prevalence of change in bone mineral density (BMD) and the potential risk factors for osteopenia and osteoporosis in rheumatic patients. METHODS: An analytical cross-sectional study design was carried out. For this study, one thousand and seven rheumatic patients were recruited and further accepted for data collection and blood and BMD tests. The potential risk factors for osteopenia and osteoporosis in rheumatic patients were further analyzed by using both logistic regression analysis and random forest (RF) analysis. RESULTS: 41.1% of the male patients aged 50 years or above and 50.8% of postmenopausal patients were osteoporotic in their lumbar spine. Among these patients, the prevalence of osteoporosis in the femoral neck and total hip was 19.4% and 8.9% in men, and 27.6% and 16.5% in women respectively, while more than half of the rheumatic patients had osteopenia in the femoral neck and total hip. For men younger than 50 years and premenopausal women, BMD were lower than the health population in the femoral neck (16.5% and 18.3% respectively) and the total hip (17.4% and 10.4% respectively). Older age, body mass index (BMI) <18.5 kg/m(2), female sex and glucocorticoid use were associated with lower BMD in the lumbar spine, femoral neck, and total hip of patients. In RF analysis, age was ranked as the most important factor for osteopenia in the lumbar spine, femoral neck, and total hip of patients, followed by glucocorticoid use and BMI. CONCLUSIONS: More interventions should be given to osteopenia patients because of the higher prevalence when compared with osteoporosis patients. Older age, BMI <18.5 kg/m(2), female sex and glucocorticoid use were associated with lower BMD in rheumatic patients. The results from the logistic regression can be supplemented by random forest analysis. |
format | Online Article Text |
id | pubmed-7154412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-71544122020-04-17 Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis Zhang, Xi Dai, Zonglin Lau, Eric H. Y. Cui, Chunping Lin, He Qi, Jun Ni, Weifeng Zhao, Like Lv, Qing Gu, Jieruo Lin, Zhiming Ann Transl Med Original Article BACKGROUND: The objective of this study was to explore the prevalence of change in bone mineral density (BMD) and the potential risk factors for osteopenia and osteoporosis in rheumatic patients. METHODS: An analytical cross-sectional study design was carried out. For this study, one thousand and seven rheumatic patients were recruited and further accepted for data collection and blood and BMD tests. The potential risk factors for osteopenia and osteoporosis in rheumatic patients were further analyzed by using both logistic regression analysis and random forest (RF) analysis. RESULTS: 41.1% of the male patients aged 50 years or above and 50.8% of postmenopausal patients were osteoporotic in their lumbar spine. Among these patients, the prevalence of osteoporosis in the femoral neck and total hip was 19.4% and 8.9% in men, and 27.6% and 16.5% in women respectively, while more than half of the rheumatic patients had osteopenia in the femoral neck and total hip. For men younger than 50 years and premenopausal women, BMD were lower than the health population in the femoral neck (16.5% and 18.3% respectively) and the total hip (17.4% and 10.4% respectively). Older age, body mass index (BMI) <18.5 kg/m(2), female sex and glucocorticoid use were associated with lower BMD in the lumbar spine, femoral neck, and total hip of patients. In RF analysis, age was ranked as the most important factor for osteopenia in the lumbar spine, femoral neck, and total hip of patients, followed by glucocorticoid use and BMI. CONCLUSIONS: More interventions should be given to osteopenia patients because of the higher prevalence when compared with osteoporosis patients. Older age, BMI <18.5 kg/m(2), female sex and glucocorticoid use were associated with lower BMD in rheumatic patients. The results from the logistic regression can be supplemented by random forest analysis. AME Publishing Company 2020-03 /pmc/articles/PMC7154412/ /pubmed/32309373 http://dx.doi.org/10.21037/atm.2020.01.08 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Zhang, Xi Dai, Zonglin Lau, Eric H. Y. Cui, Chunping Lin, He Qi, Jun Ni, Weifeng Zhao, Like Lv, Qing Gu, Jieruo Lin, Zhiming Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis |
title | Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis |
title_full | Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis |
title_fullStr | Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis |
title_full_unstemmed | Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis |
title_short | Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis |
title_sort | prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in china: logistic regression and random forest analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154412/ https://www.ncbi.nlm.nih.gov/pubmed/32309373 http://dx.doi.org/10.21037/atm.2020.01.08 |
work_keys_str_mv | AT zhangxi prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT daizonglin prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT lauerichy prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT cuichunping prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT linhe prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT qijun prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT niweifeng prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT zhaolike prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT lvqing prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT gujieruo prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis AT linzhiming prevalenceofbonemineraldensitylossandpotentialriskfactorsforosteopeniaandosteoporosisinrheumaticpatientsinchinalogisticregressionandrandomforestanalysis |