Management of fracture risk in patients with diabetes-Chinese Expert Consensus

Association of C-peptide level with bone mineral density in type 2 diabetes mellitus

This study revealed that there was no significant linear relationship between fasting C-peptide (FCP) level and bone mineral density (BMD) or fracture risk in type 2 diabetes mellitus (T2DM) patients. However, in the FCP ≤ 1.14 ng/ml group, FCP is positively correlated with whole body (WB), lumbar spine (LS), and femoral neck (FN) BMD and negatively correlated with fracture risk.

PURPOSE

To explore the relationship between C-peptide and BMD and fracture risk in T2DM patients.

METHODS

530 T2DM patients were enrolled and divided into three groups by FCP tertiles, and the clinical data were collected. BMD was measured by dual-energy X-ray absorptiometry (DXA). The 10-year probability of major osteoporotic fractures (MOFs) and hip fractures (HFs) was evaluated by adjusted fracture risk assessment tool (FRAX).

RESULTS

In the FCP ≤ 1.14 ng/ml group, FCP level was positively correlated with WB, LS, and FN BMD, while FCP was negatively correlated with fracture risk and osteoporotic fracture history. However, FCP was not correlated with BMD and fracture risk and osteoporotic fracture history in the 1.14 < FCP ≤ 1.73 ng/ml and FCP > 1.73 ng/ml groups. The study has shown that FCP was an independent factor influencing BMD and fracture risk in the FCP ≤ 1.14 ng/ml group.

CONCLUSIONS

There is no significant linear relationship between FCP level and BMD or fracture risk in T2DM patients. In the FCP ≤ 1.14 ng/ml group, FCP is positively correlated with WB, LS, and FN BMD and negatively correlated with fracture risk, and FCP is an independent influencing factor of BMD and fracture risk. The findings suggest that FCP may predict the risk of osteoporosis or fracture in some T2DM patients, which has a certain clinical value.

Irisin and Bone in Sickness and in Health: A Narrative Review of the Literature

Irisin is a hormone-like myokine produced by the skeletal muscle in response to exercise. Upon its release into the circulation, it is involved in the browning process and thermogenesis, but recent evidence indicates that this myokine could also regulate the functions of osteoblasts, osteoclasts, and osteocytes. Most human studies have reported that serum irisin levels decrease with age and in conditions involving bone diseases, including both primary and secondary osteoporosis. However, it should be emphasized that recent findings have called into question the importance of circulating irisin, as well as the validity and reproducibility of current methods of irisin measurement. In this review, we summarize data pertaining to the role of irisin in the bone homeostasis of healthy children and adults, as well as in the context of primary and secondary osteoporosis. Additional research is required to address methodological issues, and functional studies are required to clarify whether muscle and bone damage per se affect circulating levels of irisin or whether the modulation of this myokine is caused by the inherent mechanisms of underlying diseases, such as genetic or inflammatory causes. These investigations would shed further light on the effects of irisin on bone homeostasis and bone disease.

Major osteoporosis fracture prediction in type 2 diabetes: a derivation and comparison study

The widely recommended fracture prediction tool FRAX was developed based on and for the general population. Although several adjusted FRAX methods were suggested for type 2 diabetes (T2DM), they still need to be evaluated in T2DM cohort.

INTRODUCTION

This study was undertaken to develop a prediction model for Chinese diabetes fracture risk (CDFR) and compare its performance with those of FRAX.

METHODS

In this retrospective cohort study, 1730 patients with T2DM were enrolled from 2009.08 to 2013.07. Major osteoporotic fractures (MOFs) during follow-up were collected from Electronic Health Records (EHRs) and telephone interviews. Multivariate Cox regression with backward stepwise selection was used to fit the model. The performances of the CDFR model, FRAX, and adjusted FRAX were compared in the aspects of discrimination and calibration.

RESULTS

6.3% of participants experienced MOF during a median follow-up of 10 years. The final model (CDFR) included 8 predictors: age, gender, previous fracture, insulin use, diabetic peripheral neuropathy (DPN), total cholesterol, triglycerides, and apolipoprotein A. This model had a C statistic of 0.803 (95%CI 0.761-0.844) and calibration χ² of 4.63 (p = 0.86). The unadjusted FRAX underestimated the MOF risk (calibration χ² 134.5, p < 0.001; observed/predicted ratio 2.62, 95%CI 2.17-3.08), and there was still significant underestimation after diabetes adjustments. Comparing FRAX, the CDFR had a higher AUC, lower calibration χ², and better reclassification of MOF.

CONCLUSION

The CDFR model has good performance in 10-year MOF risk prediction in T2DM, especially in patients with insulin use or DPN. Future work is needed to validate our model in external cohort(s).

Mapping Knowledge Landscapes and Emerging Trends of the Links Between Bone Metabolism and Diabetes Mellitus: A Bibliometric Analysis From 2000 to 2021

Background

Diabetes mellitus (DM) have become seriously threatens to human health and life quality worldwide. As a systemic metabolic disease, multiple studies have revealed that DM is related to metabolic bone diseases and always induces higher risk of fracture. In view of this, the links between bone metabolism (BM) and DM (BMDM) have gained much attention and numerous related papers have been published. Nevertheless, no prior studies have yet been performed to analyze the field of BMDM research through bibliometric approach. To fill this knowledge gap, we performed a comprehensive bibliometric analysis of the global scientific publications in this field.

Methods

Articles and reviews regarding BMDM published between 2000 and 2021 were obtained from the Web of Science after manually screening. VOSviewer 1.6.16, CiteSpace V 5.8.R3, Bibliometrix, and two online analysis platforms were used to conduct the bibliometric and visualization analyses.

Results

A total of 2,525 documents including 2,255 articles and 270 reviews were retrieved. Our analysis demonstrated a steady increasing trend in the number of publications over the past 22 years (R2 = 0.989). The United States has occupied the leading position with the largest outputs and highest H-index. University of California San Francisco contributed the most publications, and Schwartz AV was the most influential author. Collaboration among institutions from different countries was relatively few. The journals that published the most BMDM-related papers were Bone and Osteoporosis International. Osteoporosis and related fractures are the main bone metabolic diseases of greatest concern in this field. According to co-cited references result, “high glucose environment,” “glycation end-product” and “sodium-glucose co-transporter” have been recognized as the current research focus in this domain. The keywords co-occurrence analysis indicated that “diabetic osteoporosis,” “osteoarthritis,” “fracture risk,” “meta-analysis,” “osteogenic differentiation,” “bone regeneration,” “osteogenesis,” and “trabecular bone score” might remain the research hotspots and frontiers in the near future.

Conclusion

As a cross-discipline research field, the links between bone metabolism and diabetes mellitus are attracting increased attention. Osteoporosis and related fractures are the main bone metabolic diseases of greatest concern in this field. These insights may be helpful for clinicians to recognize diabetic osteopenia and provide more attention and support to such patients.

Hemoglobin level and osteoporosis in Chinese elders with type 2 diabetes mellitus

Objectives

Several studies demonstrated a positive relationship between hemoglobin level and bone mineral density (BMD). Thus, the association between hemoglobin concentration and osteoporosis in elders with type 2 diabetes mellitus (T2DM) was explored in this study.

Methods

Totally, 573 elders with T2DM were included in the study. BMD was measured by dual-energy X-ray absorptiometry. Hemoglobin levels were tested. The association between the hemoglobin level and osteoporosis was subjected to logistic regression analysis.

Results

For men, the hemoglobin levels were significantly lower in osteoporosis group than that in non-osteoporosis group (135.98 ± 16.20 vs. 142.84 ± 13.78 g/L, P = 0.002). Hemoglobin levels were positively related with BMD of total hip and femoral neck in men (r = 0.170, P = 0.004; r = 0.148, P = 0.012, respectively). After adjusting for age, body mass index (BMI), hemoglobin A1c (HbA1c), estimated glomerular filtration rate (eGFR) and 25-hydroxyvitamin D₃ [25(OH) D₃], the hemoglobin level was related with a 0.97-fold lower risk of osteoporosis (odds ratio (OR): 0.97; 95% confidence interval (CI): 0.95–0.99; P = 0.004) in men, but no such association was found in women.

Conclusion

Higher levels of hemoglobin play a protective role against osteoporosis in older men with T2DM.

The Association of Serum Irisin with Bone Mineral Density and Turnover Markers in New-Onset Type 2 Diabetic Patients

BACKGROUND

Irisin, an exercise-induced myokine and adipocytokine, has been reported to decrease in type 2 diabetic patients. Recently, several research studies indicated that circulating levels were correlated with bone mineral density (BMD). To evaluate bone metabolism, bone turnover markers (BTMs) should be included. However, with respect to newly diagnosed T2DM patients, the relevance of their irisin levels to their BTMs and BMD remains unclear. The investigation of serum irisin levels in patients who have been newly diagnosed with type 2 diabetes and illumination of the relationship between serum irisin levels and those two indices of BMD and BTMs mentioned above are the intention of this cross-sectional study.

METHODS

66 new-onset type 2 diabetic patients (T2DM group), together with 82 control subjects (NGT group), were recruited in this study. Serum irisin concentrations and BTMs (including osteocalcin (OC), procollagen type 1 N-terminal propeptide (P1NP), and β-C-terminal telopeptides of type I collagen (β-CTX)) were determined by the enzyme-linked immunosorbent assay (ELISA). Glucose, lipid profile, and insulin were considered as measuring indicators as well. Dual-energy X-ray absorptiometry (DXA) was utilized to evaluate the indicator of BMD. Serum irisin, BTMs, and BMD were compared between diabetic patients and healthy individuals. Pearson and Spearman correlation analyses were applied as well to assess correlations between irisin and BTMs and BMD. Multiple stepwise regression analysis was conducted to identify the independent factors of irisin. ROC curve analyses were carried out for serum irisin prediction for osteoporosis/osteopenia (OP).

RESULTS

The serum levels of irisin, procollagen type 1, intact N-terminal propeptide (P1NP), and osteocalcin (OC) were evidently lower in T2DM subjects than in NGT subjects (10.90 ± 1.88 vs .11.69 ± 2.06 ng/mL, P < 0.05; 36.42(25.68,51.70) vs. 44.52(35.73,58.05)ng/ml, P < 0.05; 16.15(12.40,21.66) vs. 18.70(15.56, 23.22)ng/ml, P < 0.05). Among patients with T2DM, the circulating irisin level of those with OP was lower than that of normal BMD (9.98 ± 2.09 vs. 11.39 ± 1.57 ng/ml, P < 0.01); irisin had a negative correlation with β-C-terminal telopeptides of type I collagen (β-CTX) (r = -0.496, P < 0.001) and came back unrelated to Lumbar BMD; Lumbar BMD was negatively relevant to OC (r = -0.274, P < 0.05) and β-CTX (r = -0.410, P < 0.01). Multiple linear regression analyses of stepwise models implied that TG, LDL-C, and β-CTX were independently associated with serum irisin concentrations (P < 0.01 or P < 0.05).

CONCLUSION

Serum irisin level was declined in patients with type 2 diabetes diagnosed in the near term and had a certain association with bone turnover markers. It is suggested to consider irisin as a potential biomarker of bone metabolic disorder in T2DM patients with the initial diagnosis.

Fracture risk assessment in diabetes mellitus

Growing evidence suggests that diabetes mellitus is associated with an increased risk of fracture. Bone intrinsic factors (such as accumulation of glycation end products, low bone turnover, and bone microstructural changes) and extrinsic factors (such as hypoglycemia caused by treatment, diabetes peripheral neuropathy, muscle weakness, visual impairment, and some hypoglycemic agents affecting bone metabolism) probably contribute to damage of bone strength and the increased risk of fragility fracture. Traditionally, bone mineral density (BMD) measured by dual x-ray absorptiometry (DXA) is considered to be the gold standard for assessing osteoporosis. However, it cannot fully capture the changes in bone strength and often underestimates the risk of fracture in diabetes. The fracture risk assessment tool is easy to operate, giving it a certain edge in assessing fracture risk in diabetes. However, some parameters need to be regulated or replaced to improve the sensitivity of the tool. Trabecular bone score, a noninvasive tool, indirectly evaluates bone microstructure by analyzing the texture sparsity of trabecular bone, which is based on the pixel gray level of DXA. Trabecular bone score combined with BMD can effectively improve the prediction ability of fracture risk. Quantitative computed tomography is another noninvasive examination of bone microstructure. High-resolution peripheral quantitative computed tomography can measure volume bone mineral density. Quantitative computed tomography combined with microstructure finite element analysis can evaluate the mechanical properties of bones. Considering the invasive nature, the use of microindentation and histomorphometry is limited in clinical settings. Some studies found that the changes in bone turnover markers in diabetes might be associated with fracture risk, but further studies are needed to confirm this. This review focused on summarizing the current development of these assessment tools in diabetes so as to provide references for clinical practice. Moreover, these tools can reduce the occurrence of fragility fractures in diabetes through early detection and intervention.

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients' physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.

Comparison of methods to improve fracture risk assessment in chinese diabetic postmenopausal women: a case-control study

PURPOSE

This study evaluated the predictive power of adjusted FRAX and standard FRAX models based on the actual prevalence of osteoporosis in type 2 diabetic (T2DM) postmenopausal women, and to explore the optimal strategy to better predicted fracture risk in postmenopausal women with diabetes in China.

METHODS

We recruited 434 patients from community-medical centers, 217 with T2DM and 217 without T2DM (non-T2DM). All participants completed self-reported questionnaires detailing their characteristics and risk factors. Bone mineral density (BMD) and spinal radiographs were evaluated. The China FRAX model calculated all scores. The area under the receiver operator characteristic curve (ROC-AUC) evaluated the sensitivity, specificity, and accuracy for predicting 10-year risk for major (MOF) and hip (OHF) osteoporotic fractures in T2DM patients.

RESULTS

T2DM patients had higher BMD but lower average FRAX values than non-T2DM patients. The unadjusted FRAX ROC-AUC was 0.774, significantly smaller than that for 0.5-unit femoral neck T-score-adjusted FRAX (0.800; p = 0.004). Rheumatoid arthritis (RA; AUC = 0.810, p = 0.033) and T-score (AUC = 0.816, p = 0.002) adjustments significantly improved fracture prediction in T2DM patients.

CONCLUSIONS

Femoral neck T-score adjustment might be the preferred method for predicting MOF and OHF in Chinese diabetic postmenopausal women, while RA adjustment only effectively predicted HF risk.

Critical review of bone health, fracture risk and management of bone fragility in diabetes mellitus

The risk of fracture is increased in both type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). However, in contrast to the former, patients with T2DM usually possess higher bone mineral density. Thus, there is a considerable difference in the pathophysiological basis of poor bone health between the two types of diabetes. Impaired bone strength due to poor bone microarchitecture and low bone turnover along with increased risk of fall are among the major factors behind elevated fracture risk. Moreover, some antidiabetic medications further enhance the fragility of the bone. On the other hand, antiosteoporosis medications can affect the glucose homeostasis in these patients. It is also difficult to predict the fracture risk in these patients because conventional tools such as bone mineral density and Fracture Risk Assessment Tool score assessment can underestimate the risk. Evidence-based recommendations for risk evaluation and management of poor bone health in diabetes are sparse in the literature. With the advancement in imaging technology, newer modalities are available to evaluate the bone quality and risk assessment in patients with diabetes. The purpose of this review is to explore the pathophysiology behind poor bone health in diabetic patients. Approach to the fracture risk evaluation in both T1DM and T2DM as well as the pragmatic use and efficacy of the available treatment options have been discussed in depth.

Risk of New Vertebral Fracture and Combination Therapy with Zoledronic Acid and Teriparatide in Diabetic Patients after Percutaneous Kyphoplasty

Study Design

This was a retrospective clinical study.

Purpose

This study aimed to evaluate the effect of combination therapy with zoledronic acid and teriparatide on the risk of new vertebral fracture (NVF) in type 2 diabetes mellitus (T2DM) patients after percutaneous kyphoplasty (PKP).

Overview of Literature

Although T2DM had been associated with bone fragility and increased fracture risk, it remains unknown whether patients with T2DM could expect similar benefit from the combination therapy with zoledronic acid and teriparatide following PKP.

Methods

Total 106 diabetic patients who had undergone PKP and had received anti-osteoporosis treatment for osteoporotic vertebral compression fracture were enrolled and allocated into the following two groups: group I (n=52, zoledronic acid) and group II (n=54, zoledronic acid plus teriparatide). The operating time, bone cement volume, and complications related to anti-osteoporosis treatment or PKP, if any, were recorded. The Visual Analog Scale (VAS) score and Oswestry Disability Index (ODI) were assessed at admission, at discharge, and at the final follow-up. Dual-energy X-ray absorptiometry scan of the hip for the measurement of the bone mineral density (BMD) was performed preoperatively and at the final follow-up for all the patients.

Results

There was no significant difference in the age, body mass index, bone cement volume, or follow-up time of the groups. The mean follow-up duration was 22.5±1.6 months. All the patients had improved VAS and ODI, and group II had significantly better clinical outcomes than group I. All the patients had increased BMD at the latest follow-up, while group II exhibited significantly more improvement. The prevalence of NVF was lower in group II (11.5% vs. 7.4%, p=0.523). Male patients had a higher prevalence of NVF although the difference was not statistically significant.

Conclusions

Combination therapy with zoledronic acid and teriparatide could improve the clinical outcomes, and BMD and had the potential to reduce NVF in diabetic patients following PKP.

[Effects of advanced glycation end products on osteoclasts at different stages of differentiation]

OBJECTIVE

To explore the effect of advanced glycation end products (AGEs) on osteoclasts at different stages of differentiation.

METHODS

Raw264.7 cells cultured in vitro were induced for osteoclastogenesis using RANKL, and the stages of differentiation of the osteoclasts were determined with TRAP staining. The cells were then randomly divided into control group, early-stage AGEs intervention group and late-stage AGEs intervention group. The viability of the cells after AGEs treatment was assessed using CCK-8 method. The cells were examined after the induction for osteoclastogenesis using TRAP staining, and the expression levels of RANK, NFATC-1, TRAF-6, TRAP and CTSK mRNAs were tested with RT-PCR; the expressions of CTSK and RANK proteins were detected using Western boltting.

RESULTS

We defined the initial 3 days of induction as the early stage of differentiation and the time beyond 3 days as the late stage of differentiation of Raw264.7 cells. Intervention with AGEs at 100 mg/L produced no significant effects on the viability of the cells, but AGEs suppressed the cell proliferation at a concentration exceeding 100 mg/L. The number of osteolasts in the early- and late-stage intervention groups was greater than that in the control group, but the cell count differed significantly only between the early-stage intervention group and control group (P < 0.05). The gene expressions of RANK, NFATC-1, TRAF-6, TRAP and CTSK all increased after the application of AGEs in both the early and late stages of differentiation, but the changes were significant only in the early-stage intervention group (P < 0.05). The changes in CTSK and RANK protein expressions were consistent with their mRNA expressions.

CONCLUSIONS

AGEs can affect the differentiation of osteoclasts differently when applied at different stages, and intervention with AGEs at the early stage produces stronger effect to promote osteoclast differentiation than its application at a late stage.

Sulfonylurea and fracture risk in patients with type 2 diabetes mellitus: A meta-analysis

AIMS

This meta-analysis was conducted to investigate the fracture risk among patients with T2DM treated with sulfonylurea.

METHODS

The PubMed and other databases were searched for eligible studies. Both randomized controlled trials and observational studies that compared the fracture risk of sulfonylurea to other hypoglycemic agents were included. Pooled risk ratios and 95% confidence intervals were calculated. Subgroup analysis and meta-regression analyses were conducted to explore the source of heterogeneity.

RESULTS

A total of 11 studies involving 255,644 individuals were included in our meta-analysis. In comparing sulfonylurea users with patients who had not taken sulfonylurea, the pooled risk ratio for developing fracture was 1.14 (95% confifidence interval, 1.08-1.19). In subgroup analyses, the pooled risk ratio of bone fracture in patients receiving sulfonylurea versus thiazolidinedione, metformin and insulin was 0.90 (95% CI, 0.76-1.06), 1.25 (95% CI, 1.18-1.32) and 0.81 (95% CI, 0.74-0.89) respectively. Meta regression showed that age and gender were not related to the effect of sulfonylurea on fracture.

CONCLUSIONS

Sulfonylurea use was associated with 14% increase in the risk of developing fracture in T2DM. The risk of fracture caused by sulfonylurea was similar to thiazolidinedione, higher than metformin and lower than insulin.