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P077 Bone mineral density predicts fractures when measured in more than one area: results from a large observational cohort

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P077 Bone mineral density predicts fractures when measured in more than one area: results from a large observational cohort. / Nadeem, Ummaz; Bukhari, Marwan; Sultan, Zain.
In: Rheumatology, Vol. 62, No. Supplement_2, 24.04.2023.

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Nadeem U, Bukhari M, Sultan Z. P077 Bone mineral density predicts fractures when measured in more than one area: results from a large observational cohort. Rheumatology. 2023 Apr 24;62(Supplement_2). Epub 2023 Apr 24. doi: 10.1093/rheumatology/kead104.118

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@article{b16da68c75cd454a842ea718a4747f8f,
title = "P077 Bone mineral density predicts fractures when measured in more than one area: results from a large observational cohort",
abstract = "Background/Aims Osteoporosis is characterised by a reduction in bone mineral density (BMD). Low BMD is correlated with increased fracture risk. It is unclear whether a BMD value at a specific site is superior for predicting fracture. The Fracture Risk Assessment (FRAX{\texttrademark}) tool is used to evaluate fracture risk, using the BMD at the non-dominant hip; focussing on the neck mean and neck total. This is despite a T score of -2.5 or below in the lumbar spine defining a patient as osteoporotic. This study aimed to determine whether the other measures of BMD that are noted are as predictive of fracture. Methods Patients referred for routine dual-energy x-ray absorptiometry (DEXA) scans at the Royal Lancaster Infirmary from 2004 to 2019 were studied. BMD data from lumbar vertebrae (L1-L4) and anatomical regions of the left and right femur were collected from DEXA images. A logistic regression model was fitted using fracture as a dependent variable and BMD values from the lumbar vertebrae, right and left femur as predictors, adjusted for age at scan and sex. Goodness of fit was assessed using a receiver operating characteristic (ROC) curve. Results A total of 31,546 patients were included in the analysis (82.9% female), of whom 37.6% had sustained a fracture, and the mean age of the cohort was 64.9 (standard deviation 12.9). Table 1 shows the results of the logistic models. Areas under the receiver operating characteristic curve (AUC) demonstrated the positive predictive ability of a reduction in BMD in the lumbar vertebrae and regions of the femur and fracture risk. BMD data from the four lumbar vertebrae were just as predictive of fracture as the right and left femur. Conclusion The study findings demonstrate that low BMD in all areas measured were equally predictive of fracture. When the non-dominant hip is not measurable, using other areas from a DEXA scan could be used to predict fracture risk. Research evaluating change in BMD over time could alter this observation. Disclosure U. Nadeem: None. M. Bukhari: None. Z. Sultan: None.",
keywords = "Pharmacology (medical), Rheumatology",
author = "Ummaz Nadeem and Marwan Bukhari and Zain Sultan",
year = "2023",
month = apr,
day = "24",
doi = "10.1093/rheumatology/kead104.118",
language = "English",
volume = "62",
journal = "Rheumatology",
issn = "1462-0324",
publisher = "OXFORD UNIV PRESS",
number = "Supplement_2",

}

RIS

TY - JOUR

T1 - P077 Bone mineral density predicts fractures when measured in more than one area

T2 - results from a large observational cohort

AU - Nadeem, Ummaz

AU - Bukhari, Marwan

AU - Sultan, Zain

PY - 2023/4/24

Y1 - 2023/4/24

N2 - Background/Aims Osteoporosis is characterised by a reduction in bone mineral density (BMD). Low BMD is correlated with increased fracture risk. It is unclear whether a BMD value at a specific site is superior for predicting fracture. The Fracture Risk Assessment (FRAX™) tool is used to evaluate fracture risk, using the BMD at the non-dominant hip; focussing on the neck mean and neck total. This is despite a T score of -2.5 or below in the lumbar spine defining a patient as osteoporotic. This study aimed to determine whether the other measures of BMD that are noted are as predictive of fracture. Methods Patients referred for routine dual-energy x-ray absorptiometry (DEXA) scans at the Royal Lancaster Infirmary from 2004 to 2019 were studied. BMD data from lumbar vertebrae (L1-L4) and anatomical regions of the left and right femur were collected from DEXA images. A logistic regression model was fitted using fracture as a dependent variable and BMD values from the lumbar vertebrae, right and left femur as predictors, adjusted for age at scan and sex. Goodness of fit was assessed using a receiver operating characteristic (ROC) curve. Results A total of 31,546 patients were included in the analysis (82.9% female), of whom 37.6% had sustained a fracture, and the mean age of the cohort was 64.9 (standard deviation 12.9). Table 1 shows the results of the logistic models. Areas under the receiver operating characteristic curve (AUC) demonstrated the positive predictive ability of a reduction in BMD in the lumbar vertebrae and regions of the femur and fracture risk. BMD data from the four lumbar vertebrae were just as predictive of fracture as the right and left femur. Conclusion The study findings demonstrate that low BMD in all areas measured were equally predictive of fracture. When the non-dominant hip is not measurable, using other areas from a DEXA scan could be used to predict fracture risk. Research evaluating change in BMD over time could alter this observation. Disclosure U. Nadeem: None. M. Bukhari: None. Z. Sultan: None.

AB - Background/Aims Osteoporosis is characterised by a reduction in bone mineral density (BMD). Low BMD is correlated with increased fracture risk. It is unclear whether a BMD value at a specific site is superior for predicting fracture. The Fracture Risk Assessment (FRAX™) tool is used to evaluate fracture risk, using the BMD at the non-dominant hip; focussing on the neck mean and neck total. This is despite a T score of -2.5 or below in the lumbar spine defining a patient as osteoporotic. This study aimed to determine whether the other measures of BMD that are noted are as predictive of fracture. Methods Patients referred for routine dual-energy x-ray absorptiometry (DEXA) scans at the Royal Lancaster Infirmary from 2004 to 2019 were studied. BMD data from lumbar vertebrae (L1-L4) and anatomical regions of the left and right femur were collected from DEXA images. A logistic regression model was fitted using fracture as a dependent variable and BMD values from the lumbar vertebrae, right and left femur as predictors, adjusted for age at scan and sex. Goodness of fit was assessed using a receiver operating characteristic (ROC) curve. Results A total of 31,546 patients were included in the analysis (82.9% female), of whom 37.6% had sustained a fracture, and the mean age of the cohort was 64.9 (standard deviation 12.9). Table 1 shows the results of the logistic models. Areas under the receiver operating characteristic curve (AUC) demonstrated the positive predictive ability of a reduction in BMD in the lumbar vertebrae and regions of the femur and fracture risk. BMD data from the four lumbar vertebrae were just as predictive of fracture as the right and left femur. Conclusion The study findings demonstrate that low BMD in all areas measured were equally predictive of fracture. When the non-dominant hip is not measurable, using other areas from a DEXA scan could be used to predict fracture risk. Research evaluating change in BMD over time could alter this observation. Disclosure U. Nadeem: None. M. Bukhari: None. Z. Sultan: None.

KW - Pharmacology (medical)

KW - Rheumatology

U2 - 10.1093/rheumatology/kead104.118

DO - 10.1093/rheumatology/kead104.118

M3 - Journal article

VL - 62

JO - Rheumatology

JF - Rheumatology

SN - 1462-0324

IS - Supplement_2

ER -