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Small Vessel Disease/White Matter Disease of the Brain and Its Association With Osteoporosis

BACKGROUND: Evidence now suggests the role of neural effect on bone mass control. The effect of small vessel disease of the brain on osteoporosis has not been studied. The aim of this study was to investigate the association of white matter disease (WMD) of the brain with osteoporosis in the elderly...

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Autores principales: Alagiakrishnan, Kannayiram, Hsueh, Jenny, Zhang, Edwin, Khan, Khurshid, Senthilselvan, Ambikaipakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4356088/
https://www.ncbi.nlm.nih.gov/pubmed/25780476
http://dx.doi.org/10.14740/jocmr2119w
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author Alagiakrishnan, Kannayiram
Hsueh, Jenny
Zhang, Edwin
Khan, Khurshid
Senthilselvan, Ambikaipakan
author_facet Alagiakrishnan, Kannayiram
Hsueh, Jenny
Zhang, Edwin
Khan, Khurshid
Senthilselvan, Ambikaipakan
author_sort Alagiakrishnan, Kannayiram
collection PubMed
description BACKGROUND: Evidence now suggests the role of neural effect on bone mass control. The effect of small vessel disease of the brain on osteoporosis has not been studied. The aim of this study was to investigate the association of white matter disease (WMD) of the brain with osteoporosis in the elderly. METHODS: In this retrospective cross-sectional study, 780 consecutive patient charts between 2010 and 2011 were reviewed in the Senior’s Outpatient Clinic at the University of Alberta Hospital. Subjects with brain computerized tomography (CT) were included in the study. Subjects with incomplete information, intracranial hemorrhage, acute stroke, cerebral edema, and/or normal pressure hydrocephalus on the CT were excluded. WMD was quantified on CT using Wahlund’s scoring protocol. Osteoporosis information was obtained from the chart, which has been diagnosed based on bone mineral density (BMD) information. Logistic regression analysis was done to determine the association of WMD severity with osteoporosis after controlling for confounding vascular risk factors. RESULTS: Of the 505 subjects who were included in the study, 188 (37%) had osteoporosis and 171 (91%) of these osteoporotic subjects were females. The mean age was 79.8 ± 7.04 years. The prevalence of WMD in osteoporosis subjects was 73%. In the unadjusted logistic regression analysis, there was a significant association between WMD severity and osteoporosis (odds ratio (OR): 1.10; 95% confidence interval (CI): 1.05 - 1.14; P < 0.001) and the significance remained in the adjusted model, after correcting for age, sex and all vascular risk factors (OR: 1.11; 95% CI: 1.05 - 1.18; P < 0.001). CONCLUSION: WMD severity of the brain was associated with osteoporosis in the elderly.
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spelling pubmed-43560882015-03-16 Small Vessel Disease/White Matter Disease of the Brain and Its Association With Osteoporosis Alagiakrishnan, Kannayiram Hsueh, Jenny Zhang, Edwin Khan, Khurshid Senthilselvan, Ambikaipakan J Clin Med Res Original Article BACKGROUND: Evidence now suggests the role of neural effect on bone mass control. The effect of small vessel disease of the brain on osteoporosis has not been studied. The aim of this study was to investigate the association of white matter disease (WMD) of the brain with osteoporosis in the elderly. METHODS: In this retrospective cross-sectional study, 780 consecutive patient charts between 2010 and 2011 were reviewed in the Senior’s Outpatient Clinic at the University of Alberta Hospital. Subjects with brain computerized tomography (CT) were included in the study. Subjects with incomplete information, intracranial hemorrhage, acute stroke, cerebral edema, and/or normal pressure hydrocephalus on the CT were excluded. WMD was quantified on CT using Wahlund’s scoring protocol. Osteoporosis information was obtained from the chart, which has been diagnosed based on bone mineral density (BMD) information. Logistic regression analysis was done to determine the association of WMD severity with osteoporosis after controlling for confounding vascular risk factors. RESULTS: Of the 505 subjects who were included in the study, 188 (37%) had osteoporosis and 171 (91%) of these osteoporotic subjects were females. The mean age was 79.8 ± 7.04 years. The prevalence of WMD in osteoporosis subjects was 73%. In the unadjusted logistic regression analysis, there was a significant association between WMD severity and osteoporosis (odds ratio (OR): 1.10; 95% confidence interval (CI): 1.05 - 1.14; P < 0.001) and the significance remained in the adjusted model, after correcting for age, sex and all vascular risk factors (OR: 1.11; 95% CI: 1.05 - 1.18; P < 0.001). CONCLUSION: WMD severity of the brain was associated with osteoporosis in the elderly. Elmer Press 2015-05 2015-03-01 /pmc/articles/PMC4356088/ /pubmed/25780476 http://dx.doi.org/10.14740/jocmr2119w Text en Copyright 2015, Alagiakrishnan et al. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Alagiakrishnan, Kannayiram
Hsueh, Jenny
Zhang, Edwin
Khan, Khurshid
Senthilselvan, Ambikaipakan
Small Vessel Disease/White Matter Disease of the Brain and Its Association With Osteoporosis
title Small Vessel Disease/White Matter Disease of the Brain and Its Association With Osteoporosis
title_full Small Vessel Disease/White Matter Disease of the Brain and Its Association With Osteoporosis
title_fullStr Small Vessel Disease/White Matter Disease of the Brain and Its Association With Osteoporosis
title_full_unstemmed Small Vessel Disease/White Matter Disease of the Brain and Its Association With Osteoporosis
title_short Small Vessel Disease/White Matter Disease of the Brain and Its Association With Osteoporosis
title_sort small vessel disease/white matter disease of the brain and its association with osteoporosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4356088/
https://www.ncbi.nlm.nih.gov/pubmed/25780476
http://dx.doi.org/10.14740/jocmr2119w
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