Inclusion of Regional Body Composition Parameters Improves Bone Mineral Density Cross-Calibration Between GE Lunar Prodigy and iDXA Densitometers

Saarelainen, J.; Hakulinen, Mikko; Rikkonen, Toni; Kröger, Heikki; Koivumaa‐Honkanen, Heli; Honkanen, Risto; Jurvelin, Jukka S.

doi:10.1016/j.jocd.2016.07.006

Cited by 6 publications

(6 citation statements)

References 28 publications

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“…In the present study, all scanners were matched to Lunar DPX‐IQ values with linear functions and mathematical models, as presented in previous studies. ( 21 , 22 , 23 , 24 ) However, a small inaccuracy may be present between the devices, although any potential error may be considered to be systematic.…”

Section: Discussionmentioning

confidence: 99%

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Characteristics of Long-Term Femoral Neck Bone Loss in Postmenopausal Women: A 25-Year Follow-Up

Moilanen

Kopra

Kröger

et al. 2020

Journal of Bone and Mineral Research

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The aim of this study was to monitor long‐term changes in bone mineral density (BMD) after menopause and factors affecting BMD. The study population consisted of a random sample of 3222 women from the Kuopio Osteoporosis Risk Factor and Prevention (OSTPRE) study, of which 62.1% were postmenopausal at the beginning of the study. This group of women underwent dual‐energy X‐ray absorptiometry (DXA) measurements at the femoral neck every 5 years from baseline (in 1989) up to 25‐year follow‐up. They also responded to risk‐factor questionnaires at 5‐year intervals. During the 25‐year follow‐up, the baseline cohort decreased to 686 women. The women were divided into quartiles based on their baseline BMD. Self‐reported hormone replacement therapy (HRT) and corticosteroid use were divided into ever users and never users. Morbidity was assessed as the total number of self‐reported diseases and BMD‐affecting diseases. The mean 25‐year BMD change was found to be −10.1%, p < 0.001. Higher baseline BMD was associated with higher bone loss rate; the reduction in the highest quartile BMD was 11.1% and in the lowest quartile 7.4% (p = 0.0031). Lower baseline body mass index (BMI) and a greater increase in BMI were found to protect against postmenopausal bone loss (p < 0.001). The lowest bone loss quartile included 15.2% more HRT users than the highest bone loss quartile (p = 0.004). The number of diseases/bone‐affecting diseases, use of vitamin D/calcium supplementation, use of corticosteroids, smoking or alcohol use had no statistical significance for annual bone loss rate. This study presents hitherto the longest (25‐year) BMD follow‐up in postmenopausal women. The linear femoral neck bone loss of 10% was less than previously assumed. A 5‐year BMD change appeared to predict long‐term bone loss in postmenopausal women. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

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Section: Discussionmentioning

confidence: 99%

“…These calculations have been described. ( 21 , 22 , 23 , 24 ) All values were converted to match DPX‐IQ in the present analyses.…”

Section: Methodsmentioning

confidence: 99%

Characteristics of Long-Term Femoral Neck Bone Loss in Postmenopausal Women: A 25-Year Follow-Up

Moilanen

Kopra

Kröger

et al. 2020

Journal of Bone and Mineral Research

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“…In Rotterdam the Lunar Prodigy device (GE Corporate, Madison, WI, USA) was used to assess body composition. Differences between the iDXA and the Prodigy device were negligible, hence cross-calibration was not necessary[ 27 , 28 ].…”

Section: Methodsmentioning

confidence: 99%

An unfavorable body composition is common in early arthritis patients: A case control study

et al. 2018

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BackgroundAn unfavorable body composition is often present in chronic arthritis patients. This unfavorable composition is a loss of muscle mass, with a stable or increased (abdominal) fat mass. Since it is unknown when this unfavorable composition develops, we compared body composition in disease-modifying antirheumatic drugs (DMARD)-naive early arthritis patients with non-arthritis controls and explored the association, in early arthritis patients, with disease activity and traditional cardiovascular risk factors.Methods317 consecutive early arthritis patients (84% rheumatoid arthritis according to 2010 ACR/EULAR criteria) and 1268 age-/gender-/ethnicity-matched non-arthritis controls underwent a Dual-energy X-ray absorptiometry scan to assess fat percentage, fat mass index, fat mass distribution and appendicular lean (muscle) mass index. Additionally, disease activity, health assessment questionnaire (HAQ), acute phase proteins, lipid profile and blood pressure were evaluated.ResultsLoss of muscle mass (corrected for age suspected muscle mass) was 4–5 times more common in early arthritis patients, with a significantly lower mean appendicular lean mass index (females 6% and males 7% lower, p<0.01). Patients had more fat distributed to the trunk (females p<0.01, males p = 0.07) and females had a 4% higher mean fat mass index (p<0.01). An unfavorable body composition was associated with a higher blood pressure and an atherogenic lipid profile. There was no relationship with disease activity, HAQ or acute phase proteins.ConclusionLoss of muscle mass is 4–5 times more common in early arthritis patients, and is in early arthritis patients associated with a higher blood pressure and an atherogenic lipid profile. Therefore, cardiovascular risk is already increased at the clinical onset of arthritis making cardiovascular risk management necessary in early arthritis patients.

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“…Several recent reports have identified the precision error of total body and regional body composition parameters from a total body DXA scan in the AB population. 12, 13 In a study by Lohman et al 14 , the authors documented the “on and off” the table reproducibility of total body DXA in measuring LM, FM, BMC. Utilizing Pearson correlation coefficients to quantify reliability, the authors found excellent correlations between repeat scans for total body BMC (r = 0.99), LM (r = 0.99), and FM (r = 1.00), and bone mineral density (BMD) (r = 0.98), with regional reliability measurements that were considerably less precise than the total body measurements.…”

Section: Introductionmentioning

confidence: 99%

Estimates of the precision of regional and whole body composition by dual-energy x-ray absorptiometry in persons with chronic spinal cord injury

et al. 2018

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Inclusion of Regional Body Composition Parameters Improves Bone Mineral Density Cross-Calibration Between GE Lunar Prodigy and iDXA Densitometers

Cited by 6 publications

References 28 publications

Characteristics of Long-Term Femoral Neck Bone Loss in Postmenopausal Women: A 25-Year Follow-Up

Characteristics of Long-Term Femoral Neck Bone Loss in Postmenopausal Women: A 25-Year Follow-Up

An unfavorable body composition is common in early arthritis patients: A case control study

Estimates of the precision of regional and whole body composition by dual-energy x-ray absorptiometry in persons with chronic spinal cord injury

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