Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling population

Background: To determine a reliable method to predict prevalent vertebral fractures (VF) by assessing the association between dysmobility syndrome (DS) and VF in a community-dwelling population. Methods: This cross-sectional study enrolled 518 participants from fracture-prevention educational activi...

Full description

Bibliographic Details
Main Authors: Fang-Ping Chen, Yu-Jr Lin, An-Shine Chao, Yu-Ching Lin, Chen-Ming Sung, Jung-Fu Chen, Alice MK. Wong
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Biomedical Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2319417021001682
_version_ 1798004766312235008
author Fang-Ping Chen
Yu-Jr Lin
An-Shine Chao
Yu-Ching Lin
Chen-Ming Sung
Jung-Fu Chen
Alice MK. Wong
author_facet Fang-Ping Chen
Yu-Jr Lin
An-Shine Chao
Yu-Ching Lin
Chen-Ming Sung
Jung-Fu Chen
Alice MK. Wong
author_sort Fang-Ping Chen
collection DOAJ
description Background: To determine a reliable method to predict prevalent vertebral fractures (VF) by assessing the association between dysmobility syndrome (DS) and VF in a community-dwelling population. Methods: This cross-sectional study enrolled 518 participants from fracture-prevention educational activities held in multiple communities in Taiwan. Assessments included questionnaires, fracture risk assessment tool (FRAX), bone mineral density (BMD) and body composition using dual-energy x-ray absorptiometry (DXA), lateral thoracolumbar spine x-rays (specifically T8-S1), grip strength (GS), walking speed, and fall history. Results: DS was noted in 257 participants (49.6%) and VF was identified in 196 participants (37.8%). A higher prevalence of VF was noted in those with DS. The prevalence of VF was significantly associated with age, gender, FRAX both with and without BMD, osteoporosis, low GS, and DS. In multivariate models accounting for age and sex, the c-index was greater in those with low GS plus osteoporosis as compared to DS alone. Low GS, osteoporosis, and pre-BMD FRAX all had similar c-indexes. Pre-BMD FRAX plus low GS and osteoporosis was superior in predicting VF compared to pre-BMD FRAX plus low GS or osteoporosis alone. Besides the inclusion of age and gender, the nomogram with pre-BMD FRAX major osteoporosis fracture probability (MOF) plus low GS had improved correlation between the estimated and actual VF probability than those with pre-BMD FRAX MOF plus osteoporosis. Conclusions: The constructed nomogram containing pre-BMD FRAX MOF plus low GS may be considered as a first-line prevalent VF screening method. Those with high-risk scores should subsequently undergo vertebral radiography and/or BMD.
first_indexed 2024-04-11T12:28:37Z
format Article
id doaj.art-fd02d62b86144ab7b8de76f603192959
institution Directory Open Access Journal
issn 2319-4170
language English
last_indexed 2024-04-11T12:28:37Z
publishDate 2022-12-01
publisher Elsevier
record_format Article
series Biomedical Journal
spelling doaj.art-fd02d62b86144ab7b8de76f6031929592022-12-22T04:23:51ZengElsevierBiomedical Journal2319-41702022-12-01456931939Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling populationFang-Ping Chen0Yu-Jr Lin1An-Shine Chao2Yu-Ching Lin3Chen-Ming Sung4Jung-Fu Chen5Alice MK. Wong6Keelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan; Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Obstetrics and Gynecology, Keelung Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan; Corresponding author. Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital at Keelung, 222 Mai-Chin Rd., Keelung 204, Taiwan.Research Service Center for Health Information, Chang Gung University, Taoyuan, TaiwanKeelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan; Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Obstetrics and Gynecology, Keelung Chang Gung Memorial Hospital at Keelung, Keelung, TaiwanKeelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan; Department of Radiology, Keelung Chang Gung Memorial Hospital at Keelung, Keelung, TaiwanDepartment of Radiology, Keelung Chang Gung Memorial Hospital at Keelung, Keelung, TaiwanKeelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan; Department of Endocrinology and Metabolism, Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Kaohsiung, Kaohsiung, TaiwanDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Taoyuan, Taoyuan, Taiwan; Healthy Aging Research Center, Chang Gung University, Taoyuan, TaiwanBackground: To determine a reliable method to predict prevalent vertebral fractures (VF) by assessing the association between dysmobility syndrome (DS) and VF in a community-dwelling population. Methods: This cross-sectional study enrolled 518 participants from fracture-prevention educational activities held in multiple communities in Taiwan. Assessments included questionnaires, fracture risk assessment tool (FRAX), bone mineral density (BMD) and body composition using dual-energy x-ray absorptiometry (DXA), lateral thoracolumbar spine x-rays (specifically T8-S1), grip strength (GS), walking speed, and fall history. Results: DS was noted in 257 participants (49.6%) and VF was identified in 196 participants (37.8%). A higher prevalence of VF was noted in those with DS. The prevalence of VF was significantly associated with age, gender, FRAX both with and without BMD, osteoporosis, low GS, and DS. In multivariate models accounting for age and sex, the c-index was greater in those with low GS plus osteoporosis as compared to DS alone. Low GS, osteoporosis, and pre-BMD FRAX all had similar c-indexes. Pre-BMD FRAX plus low GS and osteoporosis was superior in predicting VF compared to pre-BMD FRAX plus low GS or osteoporosis alone. Besides the inclusion of age and gender, the nomogram with pre-BMD FRAX major osteoporosis fracture probability (MOF) plus low GS had improved correlation between the estimated and actual VF probability than those with pre-BMD FRAX MOF plus osteoporosis. Conclusions: The constructed nomogram containing pre-BMD FRAX MOF plus low GS may be considered as a first-line prevalent VF screening method. Those with high-risk scores should subsequently undergo vertebral radiography and/or BMD.http://www.sciencedirect.com/science/article/pii/S2319417021001682Vertebral fractureDysmobility syndromeFRAXBone mineral densityGrip strengthWalking speed
spellingShingle Fang-Ping Chen
Yu-Jr Lin
An-Shine Chao
Yu-Ching Lin
Chen-Ming Sung
Jung-Fu Chen
Alice MK. Wong
Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling population
Biomedical Journal
Vertebral fracture
Dysmobility syndrome
FRAX
Bone mineral density
Grip strength
Walking speed
title Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling population
title_full Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling population
title_fullStr Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling population
title_full_unstemmed Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling population
title_short Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling population
title_sort utilizing nomograms to predict prevalent vertebral fracture risk an analysis of dysmobility syndrome in a community dwelling population
topic Vertebral fracture
Dysmobility syndrome
FRAX
Bone mineral density
Grip strength
Walking speed
url http://www.sciencedirect.com/science/article/pii/S2319417021001682
work_keys_str_mv AT fangpingchen utilizingnomogramstopredictprevalentvertebralfractureriskananalysisofdysmobilitysyndromeinacommunitydwellingpopulation
AT yujrlin utilizingnomogramstopredictprevalentvertebralfractureriskananalysisofdysmobilitysyndromeinacommunitydwellingpopulation
AT anshinechao utilizingnomogramstopredictprevalentvertebralfractureriskananalysisofdysmobilitysyndromeinacommunitydwellingpopulation
AT yuchinglin utilizingnomogramstopredictprevalentvertebralfractureriskananalysisofdysmobilitysyndromeinacommunitydwellingpopulation
AT chenmingsung utilizingnomogramstopredictprevalentvertebralfractureriskananalysisofdysmobilitysyndromeinacommunitydwellingpopulation
AT jungfuchen utilizingnomogramstopredictprevalentvertebralfractureriskananalysisofdysmobilitysyndromeinacommunitydwellingpopulation
AT alicemkwong utilizingnomogramstopredictprevalentvertebralfractureriskananalysisofdysmobilitysyndromeinacommunitydwellingpopulation