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Bone health in subjects with type 1 diabetes for more than 50 years.

ABSTRACT: AIMS:Few data regarding prevalence of and risk factors for poor bone health in aging individuals with long-standing T1D are available. In this study, we aim to describe the prevalence of bone fragility and to identify factors associated with low bone density in individuals with long-term T1D. METHODS:We examined the prevalence of non-vertebral fractures in 985 subjects enrolled in the Joslin 50-Year Medalist Study and measured bone mineral density (BMD) by dual-energy X-ray absorptiometry at the femoral neck, lumbar spine and radius in a subset (65 subjects, mean age 62.6 years, duration 52.5 years, HbA1c 7.1%) with no significant clinical or demographic differences from the rest of the cohort. RESULTS:Medalists have low prevalence of fractures (0.20% hip and 0.91% wrist) and normal Z-score values (spine +1.15, total hip +0.23, femoral neck -0.01, radius +0.26; p > 0.05 for differences vs. 0 at all sites). A significant relationship was found between lower BMD and higher total cholesterol, triglycerides and LDL levels, but not HbA1c. Low BMD at the femoral neck was associated with cardiovascular disease after adjustment for confounding factors: prevalence risk ratio of CVD [95% CI] 4.6 [1.2-18.1], p = 0.03. No other diabetic vascular complication was found to be associated with low BMD. CONCLUSIONS:These are the first data regarding bone health in aging individuals who have had diabetes for 50 or more years. The low rates of non-vertebral fractures and the normal Z-score suggest the long T1D diabetes duration did not increase the risk of bone fractures in Medalists compared to non-diabetic peers. Additionally, the association with cardiovascular disease demonstrates the BMD differences in groups are likely not due to glycemic control alone.

SUBMITTER: Maddaloni E

PROVIDER: S-EPMC5406751 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Bone health in subjects with type 1 diabetes for more than 50 years.

Maddaloni Ernesto E D'Eon Stephanie S Hastings Stephanie S Tinsley Liane J LJ Napoli Nicola N Khamaisi Mogher M Bouxsein Mary L ML Fouda Savitri M R SMR Keenan Hillary A HA

Acta diabetologica 20170225 5

<h4>Aims</h4>Few data regarding prevalence of and risk factors for poor bone health in aging individuals with long-standing T1D are available. In this study, we aim to describe the prevalence of bone fragility and to identify factors associated with low bone density in individuals with long-term T1D.<h4>Methods</h4>We examined the prevalence of non-vertebral fractures in 985 subjects enrolled in the Joslin 50-Year Medalist Study and measured bone mineral density (BMD) by dual-energy X-ray absorp ...[more]

PMID: 28236093

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Project description:BackgroundThe results of previous studies on the association between serum uric acid levels and bone mineral density and the risk of osteoporosis are controversial. Fat free mass (FFM) is more strongly associated with bone mineral density (BMD) than it is with body fat mass (BFM). Skeletal muscle mass is assumed to contribute indirectly to the relationship between serum uric acid levels and BMD. Therefore, we aimed to evaluate the association between serum uric acid levels and BMD and abnormal BMD (at least osteopenia) by considering body composition in men aged ≥ 50 years.MethodsThis was a retrospective observational cross-sectional study. We used data obtained from 2,991 men aged ≥50 years who completed questionnaires, anthropometric surveys, laboratory tests, and bone mineral density scans. A subgroup analysis of 1,135 men who additionally underwent body composition data analysis using Inbody® was performed. Multiple linear regression analysis was used to explore the relationship between serum uric acid levels and BMD at three sites (L1-L4, Femur neck, Femur total). In addition, multiple logistic regression analysis was performed to determine the association of serum uric acid levels with abnormal BMD (at least osteopenia).ResultsPositive correlations between serum uric acid levels and BMD at the three sites (L1-L4, Femur neck, Femur total) were observed in unadjusted and fully adjusted models except the BMD of the femoral neck (P-value=0.054).Furthermore, FFM and skeletal muscle mass index (SMI) showed positive association with serum uric acid level and BMD at three sites, with statistical significance. An increase in serum uric acid level was associated with a lower risk of abnormal BMD after adjusting for confounders including FFM and SMI.ConclusionSerum uric acid level was positively associated with BMD at three sites and had a protective effect against abnormal BMD after adjusting for multiple confounders, including FFM and SMI, in men aged ≥ 50 years.

Project description:BACKGROUND:The duration and patterns of ? cell dysfunction during type 1 diabetes (T1D) development have not been fully defined. METHODS:Metabolic measures derived from oral glucose tolerance tests (OGTTs) were compared between autoantibody-positive (aAb+) individuals followed in the TrialNet Pathway to Prevention study who developed diabetes after 5 or more years or less than 5 years of longitudinal follow-up (Progressors?5, n = 75; Progressors<5, n = 474) and 144 aAb-negative (aAb-) relatives. RESULTS:Mean age at study entry was 15.0 ± 12.6 years for Progressors?5; 12.0 ± 9.1 for Progressors<5; and 16.3 ± 10.4 for aAb- relatives. At baseline, Progressors?5 already exhibited significantly lower fasting C-peptide (P < 0.01), C-peptide AUC (P < 0.001), and early C-peptide responses (30- to 0-minute C-peptide; P < 0.001) compared with aAb- relatives, while 2-hour glucose (P = 0.03), glucose AUC (<0.001), and Index60 (<0.001) were all higher. Despite significant baseline impairment, metabolic measures in Progressors?5 were relatively stable until 2 years prior to T1D diagnosis, when there was accelerated C-peptide decline and rising glycemia from 2 years until diabetes diagnosis. Remarkably, patterns of progression within 3 years of diagnosis were nearly identical between Progressors?5 and Progressors<5. CONCLUSION:These data provide insight into the chronicity of ? cell dysfunction in T1D and indicate that ? cell dysfunction may precede diabetes diagnosis by more than 5 years in a subset of aAb+ individuals. Even among individuals with varying lengths of aAb positivity, our findings indicate that patterns of metabolic decline are uniform within the last 3 years of progression to T1D. TRIAL REGISTRATION:Clinicaltrials.gov NCT00097292. FUNDING:The Type 1 Diabetes TrialNet Study Group is a clinical trials network currently funded by the NIH through the National Institute of Diabetes and Digestive and Kidney Diseases, the National Institute of Allergy and Infectious Diseases, and The Eunice Kennedy Shriver National Institute of Child Health and Human Development and the Juvenile Diabetes Research Foundation.

Dataset Information

Bone health in subjects with type 1 diabetes for more than 50 years.

Publications

Bone health in subjects with type 1 diabetes for more than 50 years.

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