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 (RR) [95% CI] of 4.6 [1.2–18.1], p=0.03 of CVD. 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 with T1D for more than 50 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 group is likely not due to glycemic control alone.
Keywords: bone fractures, osteoporosis, low bone mass, type 1 diabetes, ageing, bone mineral density
INTRODUCTION
Several studies have demonstrated increased bone fragility among those with diabetes documenting up to a 6.3 fold increase risk of osteoporotic fractures compared to those without diabetes [1]. These findings highlight bone fragility as an important diabetic complication. Poor glycemic control, insulin deficiency, decreased IGF1 and amylin are all involved in bone metabolism impairment and may contribute to poor skeletal health in those with type 1 diabetes (T1D) [2, 3]. Despite declining skeletal health being thought of as an age-related condition, most studies in those with T1D have been conducted in those less than 40 years of age, with a primary focus on young adults [4–8]. Studies including the Scottish Linkage Study, the Pittsburgh Epidemiology of Diabetes Complications, the Swedish Registry and the Australian Registry [9–12] showed that rates of cardiovascular mortality are decreasing among those with T1D, leading to increases in longevity. This increase in the number of individuals aging with T1D represents a disproportionate increase in risk of fragility fractures due to the age-related decline of BMD and due to the documented pathological effects of T1D on bone [13]. The study presented here, despite being a pilot study, is a harbinger of what is to come as the number of individuals with T1D grows and their longevity increases. Indeed, we aim to provide insight on bone fragility, markers of bone turnover and factors associated with skeletal health in a subset of individuals with duration of T1D significantly longer than previously studied, and who are in the age range that is at highest risk for fragility fractures. To accomplish this, we enrolled individuals from the Joslin 50-Year Medalists, a unique cohort of subjects who have had insulin dependent diabetes since time of diagnosis 50 years or longer. Due to their age and extreme T1D duration this population provides a unique opportunity to study the effects of long term T1D on skeletal health in the context of age.
Materials and Methods
Study population and procedures
Details of the 50-Year Medalist Study and its methods have been extensively described elsewhere [14–16]. In brief, participants are Caucasian with 50 or more years of documented insulin dependence and are subsequently awarded the Joslin 50-Year Medal. The Medalist Study took place between April 2005 and December 2015. Bone mineral density (BMD) testing by dual-energy X-ray absorptiometry (DXA) took place between October 2011 and June 2012, assessing each individual meeting inclusion criteria as they presented to the study to avoid sampling bias. To participate in the Medalist Study individuals must present three forms of documentation of insulin dependence since time of diagnosis or original medical record. All individuals were assessed at the Joslin Diabetes Center in Boston, MA by clinical exam, electrocardiogram, and standard laboratory measures. The Medalist Study has extensively characterized over 985 individuals (455 males and 530 females) with mean T1D duration of 55 years. Informed consent was obtained from all subjects prior to participation in the study. The Joslin Committee on Human Studies approved the study protocol.
Medalists were asked to report significant medical events including all fractures [17]. Data about all-cause hip and wrist fractures occurring at any age were collected by questionnaires. Between October 2011 and June 2012, 65 consecutive subjects meeting inclusion criteria (31 men and 34 post-menopausal women) presenting to the same study site received DXA scans. History of Cushing’s disease, long-term (>6 months) steroid use, hypogonadism (premature menopause, anorexia, pituitary dysfunction), hypo- and hyperparathyroidism and/or alcoholism were considered as exclusion criteria for this study. Urine and blood specimens were collected on the same day of the DXA scan after an 8-hour fast. Cardiovascular disease was defined as self-reported as history of coronary artery bypass surgery, angioplasty, coronary stent placement, myocardial infarction, or angina [16]. Peripheral neuropathy was assessed using the Michigan Neuropathy Screening Index a score≥2 was considered positive [18]. An albumin-to-creatinine ratio (ACR) >30 mg/g and an estimated glomerular filtration rate (eGFR) <60 mL/min per 1.73 m2 was considered positive for nephropathy [19]. Diabetic retinopathy was diagnosed using seven-standard field fundus photography and graded according the Early Treatment Diabetic Retinopathy Study [20].
Biochemical assays
HbA1c was determined by high-performance liquid chromatography (Tosoh G7 and 2.2, Tokyo, Japan). Lipid profiles were determined by standard enzymatic methods (Roche Diagnostics, Indianapolis, IN; Denka Seiken, Tokyo, JP; and AsahiKasei, Tokyo, JP). High-sensitivity C-reactive protein (hsCRP) was determined by nephelometric methods; creatinine, calcium and albumin by spectrophotometry; intact parathyroid hormone (PTHi), 25-OH vitamin D, estradiol, follicle-stimulating hormone (FSH), luteinizing hormone (LH), sex hormone binding globulin (SHBG), testosterone by immunoassay; IGF1 by liquid chromatography; urine ACR by turbidimetric methods, (Quest Diagnostics, Wallingford, CT). The following serum bone turnover markers were evaluated: Collagen Type 1 C-Telopeptide (CTx) and total osteocalcin, by electrochemiluminescent immunoassay, Bone-Specific Alkaline Phosphatase by immunoenzymatic assay,
Areal bone mineral density (BMD)
Areal BMD of the lumbar spine, femoral neck, total hip and one-third distal radius was measured by DXA (Hologic QDR Elite Fan Beam X-Ray Densitometer; model number 4500A with a Delphi Upgrade, Waltham, MA). T- and Z-scores were automatically computed by the Hologic software on the basis of male and female reference values (NHANES reference set for hip and Hologic reference dataset for lumbar spine). A single trained technician performed all scans and analyses. According to the World Health Organization diagnostic criteria, normal BMD was defined as T-score values ≥ −1.0SD, “low bone mass” or “osteopenia” as T-score values < −1.0SD and > −2.5SD, and osteoporosis as T-score values ≥ −2.5SD [21].
Statistical analysis
Two sets of analyses were done, one to examine protection from low bone mineral density (T-score values < −1.0SD), and a second to examine characteristics associated with lower bone mineral density in regions known to have a higher cortical/cancellous bone ratio (one-third distal radius and femoral neck). Variables were tested for normality using the Shapiro-Wilk test. Values are expressed as mean ± SD and medians [range] for continuous variables and as proportions for categorical variables (%) depending on distribution. Comparisons were done using Student’s t-test, Kruskal-Wallis, and chi-square depending on distribution. Generalized linear models were used to calculate prevalence risk ratios adjusted for covariates. Those factors significant at p < 0.1 were tested in the final model with main effect and outcome. Effect modification was tested in the standard ways. Two-tailed p-value < 0.05 was considered statistically significant. All statistical analyses were performed using Stata/IC 12.1 software (StataCorp, College Station, TX, USA).
RESULTS
Clinical population
Among the Medalists, mean (±SD) age was 66.0 ± 7.6 years (67.3 ± 7.9 in males and 64.9 ± 7.2 in females), disease duration was 54.7 ± 5.7 years and BMI 26.2 ±4.7 kg/m2. The Medalists had a mean HbA1c of 7.2 ± 0.9% (55.2 ± xx mmol/mol), triglycerides of 75.0 ± 37 mg/dl, total cholesterol of 161.4 ± 32.7 mg/dl, HDL of 65.1 ± 19.9 mg/dl, LDL of 81.1 ± 23.8 mg/dL and eGFR of 69.6 ± 20.3 ml/min/1.73m2. The study population had a CVD prevalence of 39.9% and proliferative diabetic retinopathy (PDR) was diagnosed in 46.4%. Diabetic nephropathy affected 12.5%, and 69.8% were found to have diabetic neuropathy. Data regarding bone fractures were available for all 985 subjects enrolled in the 50-Year Joslin Medalist Study at the time of analysis. History of hip and wrist fractures was reported by 11 subjects (1.12%). More specifically, 9 subjects (0.91%; 4 males and 5 females) had a previous wrist fracture and 2 male subjects (0.20%) reported history of hip fracture.
Areal BMD
Clinical and biochemical features of the 65 subjects who underwent DXA scans are reported in Table 1 (medication use in Supplementary Table 1). There were no significant differences in demographic and clinical features between the primary Medalist cohort and those who underwent the DXA scan. Overall, this subgroup has good glycemic control, HbA1c 7.1 ± 1.0% (54.1 ± 10.9 mmol/mol), total cholesterol 168.0 ± 36.2 mg/dl, triglycerides 75.4 ± 32.7 mg/dl, HDL 65.7 ± 20.8 mg/dl, LDL 86.8 ± 25.0 mg/dl, and vitamin D levels (35 ± 9 ng/ml). Only one subject had a detectable fasting serum c-peptide, the remaining 64 had had undetectable levels.
Table 1.
Study sample features.
| Overall (n=65) | Males (n=31) | Females (n=34) | ||||
|---|---|---|---|---|---|---|
| Mean ± SD | Median [range] | Mean ± SD | Median [range] | Mean ± SD | Median [range] | |
| Age, years | 63.8 ± 6.9 | 63 [52–81] | 65.9 ± 7.0 | 65 [52–81] | 61.8 ± 6.4 | 61 [53–79] |
| Age at diagnosis, years | 10.2 ± 6.0 | 10 [0–25] | 10.9 ± 6.5 | 11 [2–25] | 9.5 ± 5.6 | 9 [0–21] |
| Disease duration, years | 52.5 ± 3.1 | 51 [50–67] | 53.4 ± 3.9 | 52 [50–67] | 51.6 ± 1.8 | 51 [50–56] |
| BMI, Kg/m2 | 26.6 ± 5.0 | 25.8 [18.0–43.9] | 27.8 ± 4.5 | 27.2 [20.6–42.5] | 25.6 ± 5.3 | 24.6 [18.0–44.0] |
| Waist to hip ratio | 0.9 ± 0.1 | 0.9 [0.8–1.1] | 1.0 ± 0.1 | 1.0 [0.9–1.1] | 0.9 ±0.1 | 0.9 [0.8–1.1] |
|
Hba1c, % (mmol/mol) |
7.1 ± 1.0 (54.1 ± 10.9) |
7 [5.2–11.5] (53.0 [33.3–102.2]) |
7.0 ± 1.1 (53.0 ± 12.0) |
6.9 [5.2–11.5] (51.9 [33.3–102.2]) |
7.2 ± 0.9 (55.2 ± 9.8) |
7.2 [5.6–9.4] (55.2 [37.7–79.2]) |
| Insulin dose, IU/kg | 0.48 ± 0.20 | 0.45 [0.48–0.20] | 0.56 ± 0.24 | 0.52 [0.23–1.30] | 0.42 ± 0.14 | 0.42 [0.14–0.72] |
| eGFR, ml/min/1.73m2 | 76.2 ± 19.2 | 79.8 [18.6–101.1] | 78.2 ± 16.9 | 83.2 [40.6–101.1] | 74.4 ± 21.2 | 78.0 [18.6–100.8] |
| Total cholesterol, mg/dl | 168.0 ± 36.2 | 163 [93–292] | 156.6 ± 30.4 | 159 [93–219] | 178.3 ± 38.4 | 168 [115–292] |
| Triglycerides, mg/dl | 75.4 ± 32.7 | 70 [33–209] | 74.8 ± 34.8 | 71 [33–209] | 75.8 ± 31.1 | 68 [36–182] |
| HDL, mg/dl | 65.7 ± 20.8 | 63 [23–136] | 58.7 ± 18.7 | 58 [23–111] | 72.0 ± 20.0 | 69.5 [31–136] |
| LDL, mg/dl | 86.8 ± 25.0 | 85 [43–162] | 82.9 ± 23.5 | 79 [51–154] | 90.4 ± 26.1 | 87.5 [43–162] |
| hsCRP, mg/L | 0.8 ± 1.3 | 0.2 [0.1–5.8] | 1.0 ± 1.3 | 0.6 [0.1–5.5] | 0.6 ± 1.3 | 0.2 [0.1–5.8] |
| Corrected calcium, mg/dl | 8.9 ± 0.5 | 9.0 [6.9–10.3] | 8.7 ± 0.6 | 8.8 [6.9–9.4] | 9.1 ± 0.4 | 9.1 [8.4–10.3] |
| Vitamin D, ng/ml | 35 ±9 | 32 [17–53] | 33 ± 9 | 32 [17–53] | 35.9 ± 9.6 | 33 [17–51] |
| Bone Alkaline Phosphatase, mcg/L | 10.9 ± 4.0 | 9.9 [5.6–25.9] | 10.0 ± 3.4 | 9.5 [5.6–23.3] | 11.7 ± 4.3 | 10.9 [6.7–25.9] |
| Total osteocalcin, ng/ml | 16.9 ± 9.9 | 14.0 [4.0–67] | 15.6 ± 5.4 | 14.5 [7.0–29.0] | 18.0 ±12.7 | 14.0 [4.0–67.0] |
| CTx, pg/ml | 254.9 ±166.8 | 230 [14.0–1119.0] | 226.3 ± 91.3 | 224.0 [73.0–412.0] | 280.6 ± 211.6 | 241.5 [14–1119] |
| PTHi, pg/ml | 28.1 ± 14.2 | 26 [7–71] | 29.9 ± 12.2 | 28.5 [7–57] | 26.6 ± 15.8 | 23 [8–71] |
| IGF1, pg/ml | 98.1 ± 32.5 | 91 [15–223] | 100.4 ± 26.5 | 90 [64–156] | 96.0 ± 37.5 | 91 [15–223] |
Results of the DXA scans are reported in Table 2. The cohort showed comparable or better BMD by Z-score to age, gender and race-matched population. Mean Z-scores were 1.15 ± 1.61 at the lumbar spine (p<0.001 for difference vs 0), 0.23 ± 0.87 at the total hip (p=0.040), −0.01 ± 0.85 at the femoral neck (p=0.97) and 0.26 ± 1.35 at one-third distal radius (p=0.13). The cumulative prevalence of osteoporosis using any of spine, total hip and femoral neck BMD measurements was 4.6%. When the one-third distal radius was considered in addition to the other diagnostic sites, the prevalence of osteoporosis increased to 16.9%. The proportion of subjects with a T-score ≤ −2.5 at the one-third distal radius was 15.4%, 3.1% at the femoral neck and 1.5% at the lumbar spine. The prevalence of low bone mineral density, osteopenia, was 66.2% considering all standard diagnostic sites (lumbar spine, total hip and femoral neck) (Table 2).
Table 2.
Bone mineral density in adults with longstanding Type 1 diabetes.
| Overall (n=65) | Males (n=31) | Females (n=34) | |||||
|---|---|---|---|---|---|---|---|
| Mean ± SD, % | Median [range] | Mean ± SD, % | Median [range] | Mean ± SD, % | Median [range] | ||
| Lumbar spine | BMD (g/cm2) | 1.068 ± 0.170 | 1.039 [0.788–1.693] | 1.079 ± 0.200 | 1.070 [0.788–1.693] | 1.057 ± 0.137 | 1.038 [0.800–1.367] |
| Z-score (SD) | 1.15 ± 1.61 | 1.2 [−1.8–6.5] | 0.69 ± 1.88 | 0.6 [−1.8–6.5] | 1.59 ± 1.17 | 1.65 [−0.7–4.1] | |
| T-score (SD) | −0.00 ± 1.542 | −0.1 [−2.8–5.5] | −0.10 ± 1.82 | −0.2 [−2.8–5.5] | 0.093 ± 1.24 | −0.1 [−2.2–2.9] | |
| T-score <−1.0 SD | 22.5 | 32.3 | 11.8 | ||||
| T-score ≤−2.5 SD (%) | 1.5 | 3.2 | 0 | ||||
| Total hip | BMD (g/cm2) | 0.908 ± 0.123 | 0.924 [0.658–1.258] | 0.950 ± 0.134 | 0.962 [0.681–1.258] | 0.867 ± 0.099 | 0.883 [0.658–1.061] |
| Z-score (SD) | 0.23 ± 0.87 | 0.3 [−1.9–2.2] | 0.04 ± 0.89 | 0.2 [−1.9–1.9] | 0.41 ± 0.83 | 0.6 [−1.2–2.2] | |
| T-score (SD) | −0.58 ± 0.84 | −0.5 [−2.3–1.5] | −0.56 ± 0.88 | −0.5 [−2.3–1.5] | −0.61 ± 0.82 | −0.5 [−2.3–1.0] | |
| T-score <−1.0 SD (%) | 33.9 | 32.3 | 35.3 | ||||
| T-score ≤−2.5 SD (%) | 0 | 0 | 0 | ||||
| Femoral neck | BMD (g/cm2) | 0.738 ± 0.110 | 0.731 [0.515–1.026] | 0.770 ± 0.121 | 0.756 [0.586–1.026] | 0.707 ± 0.089 | 0.702 [0.515–0.918] |
| Z-score (SD) | −0.01 ± 0.85 | −0.1 [−1.7–2.1] | −0.09 ± 0.91 | −0.1 [−1.5–1.8] | 0.08 ± 0.78 | 0 [−1.7–2.1] | |
| T-score (SD) | −1.23 ± 0.84 | −1.3 [−3.0–0.7] | −1.17 ± 0.89 | −1.3 [−2.5–0.7] | −1.28 ± 0.79 | −1.3 [−3.0–0.6] | |
| T-score <−1.0 SD (%) | 66.2 | 67.7 | 64.7 | ||||
| T-score ≤−2.5 SD (%) | 3.1 | 0 | 5.9 | ||||
| One-third distal radius | BMD (g/cm2) | 0.691 ± 0.110 | 0.694 [0.495–0.982] | 0.771 ± 0.083 | 0.788 [0.562–0.982] | 0.618 ± 0.076 | 0.615 [0.495–0.819] |
| Z-score (SD) | 0.26 ± 1.35 | 0.30 [−3.4–4.1] | 0.14 ± 1.45 | 0.3 [−3.4–4.1] | 0.37 ± 1.3 | 0.3 [−1.7–3.4] | |
| T-score (SD) | −1.06 ± 1.4 | −0.9 [−4.6–2.7] | −0.97 ± 1.43 | −0.7 [−4.6–2.7] | −1.14 ± 1.31 | −1.2 [−3.3–2.3] | |
| T-score <−1.0 SD (%) | 47.7 | 41.9 | 52.9 | ||||
| T-score ≤−2.5 SD (%) | 15.4 | 9.7 | 20.6 | ||||
| Three-points low bone mass* | 66.2 | 71.0 | 61.8 | ||||
| Three-points osteoporosis* | 4.6 | 3.2 | 5.9 | ||||
| Four-points low bone mass** | 67.7 | 71.0 | 64.7 | ||||
| Four-points osteoporosis** | 16.9 | 12.9 | 20.6 | ||||
Low bone mass and osteoporosis are defined as T-score <−1.0SD and >−2.5SD and T-score ≤−2.5SD respectively.
Low BMD at lumbar spine, total hip or femoral neck;
Low BMD at lumbar spine, total hip, femoral neck or one-third distal radius.
Features of Medalists with normal BMD
To identify factors associated with preservation of BMD we further compared clinical and biochemical features of those with normal BMD at all sites (n=10) to those with low bone mass in at least one site (n=55). No differences in gender (50% vs 47% males, p=0.874), age (64.1 ± 6.1 vs 63.7 ± 7.1 years, p=0.865), age at diagnosis (11.2 ± 5.9 vs 10.0 ± 6.1 years, p=0.473) and disease duration (52.6 ± 2.5 vs 52.5 ± 3.2 years, p=0.592) were found between Medalists with normal and low BMD, respectively. Individuals with normal BMD showed a better lipid profile with lower total cholesterol, triglycerides and LDL levels, but no significant differences in HDL levels, this was independent of the use of anti-hyperlipidemics (adjusted p=0.008, p=0.049 and p=0.020, respectively) [Figure 1]. The presence of CVD, proliferative retinopathy, diabetic nephropathy and neuropathy did not differ between those with normal and low BMD [Table 3]. Those with normal BMD did not differ in IGF1 (97.0 ± 22.8 vs 98.3 ± 4.6 pg/ml, p=0.814), PTHi (25.7 ± 10.8 vs 28.6 ± 14.7 pg/ml, p=0.679), vitamin D (36.8 ± 9.1vs 34.4 ± 9.5 ng/ml, p=0.516), calcium (9.1 ± 0.2 vs 8.9 ± 0.6 mg/dl, p=0.158), bone alkaline phosphatase (11.6 ± 3.1 vs 10.8 ±4.2 mcg/L, p=0.300), total osteocalcin (15.1 ± 6.8 vs 17.2 ± 10.4 ng/ml, p= 0.666) and CTx levels (201.9 ± 58.1 vs 264.8 ± 178.7 pg/ml, p=0.364) from those with lower levels of BMD. As well, no differences in sex hormones were found between the two groups (Supplementary Table 2).
Figure 1. Normal T-score is associated with better lipid profile.

Subjects with T-score ≥ −1.0 SD at all sites showed lower levels of total cholesterol, triglycerides and LDL than subjects with T-score < −1.0 SD. No significant differences were found in HDL levels. Bars are for standard deviation.
Table 3.
Prevalence of chronic complications of diabetes by T-score overall and at cortical sites
| Subjects with normal T-score (n=10) |
Subjects with osteoporosis / low bone mass (n= 55) |
Femoral Neck T-score > −1.0 SD (n= 22) |
Femoral Neck T-score < −1.0 SD (n= 43) |
1/3 Radius T-score > −1.0 SD (n=34) |
1/3 Radius T-score < −1.0 SD (n=31) |
|
|---|---|---|---|---|---|---|
| Cardiovascular diseases | 20.0 % | 21.8 % | 9.0 % | 27.9 % | 20.6 % | 22.6 % |
| Proliferative diabetic retinopathy | 66.7 % | 35.6 % | 37.5 % | 42.1 % | 50.0 % | 29.2 % |
| Diabetic nephropathy | 10 % | 17.4 % | 4.6 % | 20.9 % | 20.6 % | 9.7 % |
| Diabetic neuropathy | 80.0 % | 64.1 % | 66.7 % | 66.7 % | 64.7 % | 69.0 % |
Features by low bone mass in cortical sites
Since the higher prevalence of osteoporosis at the one-third distal radius could suggest a greater effect of T1D at sites composed of a greater proportion of cortical bone, we compared traits between those with and without low bone mass at sites with higher cortical/cancellous bone ratio, specifically the femoral neck and one-third distal radius. Table 4 shows subjects with normal T-scores did not differ in clinical and biochemical features from those with T-score < −1.0 SD at both sites. However, as expected, subjects with low bone mass/osteoporosis at the femoral neck showed a trend towards higher level of bone turnover markers (total osteocalcin and CTx) than those with normal femoral neck T-score (Table 4).
Table 4.
Population features by T-score at cortical sites.
| Femoral Neck T-score ≥ −1.0 SD (n= 22) |
Femoral Neck T-score < −1.0 SD (n= 43) |
p-value | 1/3 Radius T-score ≥ −1.0 SD (n=34) |
1/3 Radius T-score <−1.0 SD (n=31) |
p-value | |
|---|---|---|---|---|---|---|
| Gender, % male | 45.5 | 48.8 | 0.796 | 52.9 | 41.9 | 0.375 |
| Age, years | 63.9 ± 6.6 | 63.7 ± 7.2 | 0.928 | 63.1 ± 7.4 | 64.5 ± 6.4 | 0.421 |
| Age at diagnosis, years | 11.3 ± 6.0 | 9.6 ± 6.0 | 0.269 | 10.2 ± 6.4 | 10.2 ± 5.6 | 0.911 |
| Duration, years | 51.9 ± 1.9 | 52.8± 3.5 | 0.466 | 52.3 ± 3.2 | 52.7 ± 3.0 | 0.340 |
| BMI, kg/m2 | 26.4 ± 4.9 | 26.7 ± 5.2 | 0.954 | 27.7 ± 5.9 | 25.3 ± 3.6 | 0.145 |
| Waist to hip ratio | 0.90 ± 0.08 | 0.90 ± 0.08 | 0.970 | 0.92 ± 0.10 | 0.87 ± 0.06 | 0.086 |
| Insulin dose, UI/Kg | 0.47 ± 0.14 | 0.49 ± 0.23 | 0.691 | 0.47 ± 0.18 | 0.50 ± 0.22 | 0.927 |
|
HbA1c, % (mmol/mol) |
7.1 ± 0.8 (54.1 ± 8.7) |
7.1 ± 1.1 (54.1 ± 12.0) |
0.921 | 7.0 ± 0.9 (53.0 ± 9.8) |
7.3 ± 1.1 (56.3 ± 12.0) |
0.346 |
| eGFR, ml/min/1.73m2 | 79.7 ± 15.9 | 74.4 ± 20.7 | 0.406 | 74.7 ± 18.3 | 77.9 ± 20.4 | 0.344 |
| Total cholesterol, mg/dl | 159.3 ± 37.1 | 172.4 ± 35.4 | 0.170 | 162.6 ± 32.7 | 173.9 ± 39.5 | 0.210 |
| Triglycerides, mg/dl | 71.4 ± 31.3 | 77.4 ± 33.6 | 0.305 | 72.6 ± 32.9 | 78.4 ± 32.9 | 0.454 |
| HDL, mg/dl | 63.2 ± 17.3 | 66.9 ± 22.5 | 0.505 | 60.9 ± 18.7 | 70.9 ± 22.1 | 0.054 |
| LDL, mg/dl | 81.7 ± 26.4 | 89.5 ± 24.1 | 0.142 | 87.1 ± 24.4 | 86.6 ± 26.0 | 0.655 |
| hsCRP, mg/L | 0.6 ± 0.9 | 0.9 ± 1.5 | 0.611 | 0.6 ± 1.1 | 1.0 ± 1.5 | 0.693 |
| Corrected Calcium, mg/dl | 9.0 ± 043 | 8.8 ±0.6 | 0.625 | 8.9 ± 0.5 | 8.8 ± 0.6 | 0.253 |
| 25-OH Vitamin D, ng/ml | 33.8 ± 9.8 | 35.2 ± 9.1 | 0.604 | 35.6 ± 9.2 | 33.8 ± 9.5 | 0.468 |
| Bone Alkaline Phosphatase, mcg/L | 10.8 ± 2.9 | 11.0 ± 4.4 | 0.626 | 10.9 ± 3.1 | 11.0 ± 4.8 | 0.691 |
| Total osteocalcin, ng/ml | 13.6 ± 6.5 | 18.4 ± 10.9 | 0.053 | 17.1 ± 11.1 | 16.6 ± 8.8 | 1.0 |
| C-Telopeptide, pg/ml | 206.6 ± 123.6 | 277.2 ±180.4 | 0.093 | 255.0 ± 190.9 | 254.7 ± 141.1 | 0.707 |
| PTHi, pg/ml | 24.7 ± 8.6 | 29.7 ± 16.0 | 0.369 | 28.0 ± 16.7 | 28.3 ± 11.3 | 0.525 |
| IGF1, pg/ml | 95.5 ± 24.13 | 99.5 ± 36.2 | 0.821 | 97.2 ± 31.2 | 99.1 ± 34.2 | 0.601 |
Complications
No differences were found in the crude prevalence of the microvascular diseases retinopathy, nephropathy or neuropathy. A borderline difference was found in the prevalence of CVD between those with and without low bone mass at the femoral neck (9.0% v 27.9%, p=0.07) [Table 3], but not at other skeletal sites. Adjusted models of CVD and BMD at the femoral neck demonstrated cholesterol as a significant confounder with the association climbing to a prevalence risk ratio (PRR) [95% CI] of 4.6 [1.2–18.1] of CVD in the presence of low BMD (p=0.03 with adjustment) [Figure 2]. Subjects with normal and low femoral neck T-score did not differ in presence of hypertension (p=0.60), smoking status (p=0.54), use of lipid lowering agents (p=0.77) or antiplatelet medications (p=0.41).
Figure 2. Prevalence risk ratio of diabetic complications associated with T-score < −1.0SD at femoral neck.

*Adjusted for total cholesterol; other complication estimates not significant in bivariate or multivariate models
DISCUSSION
Our results found an unexpectedly low prevalence of fractures in a large cohort of aging people with T1D with greater than 50 years duration [1, 22]. Accordingly, we showed an unexpectedly low prevalence of osteoporosis and BMD values comparable to non-diabetic peers, as shown by normal Z-scores, in a subgroup of subjects from the same cohort. Indeed, despite their median age of 63 years, only 4.6% of the Medalists were affected by osteoporosis, compared to 10.3% reported in US adults 50 years or older [23] and to 14% in individuals with between 9 to 20 years of T1D [24]. Despite a lower than expected prevalence of osteoporosis, osteopenia was present in 66.2% of the Medalists compared to 43.9% of US adults. While reports in young adults with shorter duration T1D showed they have lower BMD than their non-diabetic peers [25], studies in those with longer duration T1D have results consistent with our findings. Ingberg et al. did not find any significant reduction in terms of lumbar or femoral BMD in males and females [age range 33–55 years] affected by T1D for 33 years [range 28–37] [7]. Similarly, Lunt et al. measured lumbar spine and femoral neck BMD in 99 women (median age 42 years) with long-standing T1D (median disease duration 27 years) and found similar values to those of healthy volunteers [26].
Several factors could explain our results. As we studied older adults having relatively few complications they may have been protected by endogenous factors or better glycemic control throughout their time with diabetes [14, 16, 27]. It is also possible that due to consistent care for their diabetes, these individuals were more diligent regarding diet and other risk factors for skeletal health decline. BMI in the defined normal range and mean values of vitamin D above 30 ng/ml were seen in both those with lower and higher BMD. It has also been proposed that long term exogenous insulin therapy can recover the bone loss seen within the initial years of T1D diagnosis. These individuals with 50 or more years may have recovered initial bone deficit and benefited through exogenous insulin use. As several reports have showed islet transplantation to have positive effects on diabetes complications, especially macrovascular [28, 29], data regarding skeletal health are lacking. This restoration of endogenous insulin production in those T1D may ameliorate declines in skeletal health due to insulin deficiency. Moreover, other strategies to sustain beta-cell function in T1D, such as immunotherapies alone or in combination with other agents [30], should also be studied in terms of bone protection.
Finally, the Joslin 50-Year Medalist cohort is documented to have low rates of diabetic vascular complications (45.6% PDR, 12.5% diabetic nephropathy, 40.5% CVD) [16, 27]. As shown by Miao et al. [31] there is a strong association between vascular complications and rate of fractures in T1D. Similarly, Shanbhogue et al. recently described an association between the presence of vascular complications of T1D and deficit in bone microarchitecture and volumetric BMD [32]. These findings show a similar pattern to that of the Medalists, protection from vascular complications and preservation of skeletal health. This is supported by our findings of a strong and independent association between CVD and low BMD at the femoral neck, which remained with adjustment. Indeed femoral neck could be particularly vulnerable to vessel occlusion because of the monolateral end-arterial blood supply [33]. Accordingly, a worse lipid profile was associated with low BMD in this group. Epidemiological studies have associated dyslipidemia with osteoporosis in postmenopausal women [34] and it has recently been shown that people with isolated high levels of LDL have lower BMD [35]. Moreover, both in vitro and in vivo studies show dyslipidemia and products of lipid oxidation may decrease BMD by inhibiting osteoblast and stimulating osteoclast differentiation through the induction of macrophage-colony stimulating factor and tartrate resistant acid phosphatase [36, 37].
We also found the prevalence of osteoporosis increases by almost four times if the one-third radius is considered among the sites used for diagnosis together with the hip and the spine. This could suggest a preferential involvement of the cortical bone compartment, even though we cannot further speculate on this finding as we did not investigate bone microarchitecture. However, in line with these findings, it has recently been shown that cortical rather than trabecular bone microarchitecture is negatively affected by diabetes, particularly higher fasting glucose, especially at the radius [32, 38–40].
We acknowledge our study has some limitations. Self-report of fractures may result in underestimates of fragility fractures. Degenerative changes in spine anatomy and aortic calcification, which are common in older adults, may have overestimated BMD at the lumbar spine [41]. Additionally, as this is a cross-sectional study, causal associations cannot be made. However, for factors such as HbA1c, we have previously shown a strong correlation (r2=0.51) between current and historical glycemic control in the 50-Year Medalists [16]. The lack of an internal control group did not allow the evaluation of the lipid-effect on BMD in subjects without diabetes compared to Medalists. As the exclusion of subjects with a previous diagnosis of osteoporosis would have introduced a selection bias, those currently using osteoporosis medications were included. Eight subjects were on medication for osteoporosis and the adjustment for this confounder did not modify our results. Finally, even with adjustment for known confounders, there may be unidentified factors influencing the bone health of this population. While the “extreme disease duration” of this population could limit the generalizability of our results, the study of people like Medalists is necessary to study the effects of long term T1D. This extraordinary population enables us to identify patterns and factors in a growing portion of the population, which could potentially heavily burden the healthcare system. As these individuals have escaped the primary causes of early death amongst those with diabetes, namely CVD [16], this suggest a bias for better glycemic control, and other factors which protect against vascular disease.
In conclusion, this study provides the first data on fracture history and bone density in a large sample of aging individuals with T1D with more than 50 years of the disease. We found BMD is not on average lower in the Medalists, based on Z-scores. Thus, the 50-Year Medalists may serve as a unique model to identify factors which may protect T1D patients from the development of bone fragility, a common but under recognized complication of diabetes, particularly among those with life-long insulin dependence. In the Medalists, a good lipid profile is associated with favorable BMD values, suggesting that in T1D with reasonable glycemic control, there may be an association between cardiovascular disease and skeletal health decline. Additional prospective studies are needed to confirm these observations and to further elucidate potential mechanisms contributing to skeletal health in those with longstanding T1D.
Statement of Human Rights
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5).
Statement of Informed Consent
Informed consent was obtained from all patients for being included in the study.
Supplementary Material
Acknowledgments
We would like to thank the staff the Joslin Clinical Research Center and the 50-Year Medalists and their families. Additionally, we express our appreciation to Dr. George King for his input.
Funding: The Medalist Study was supported by grants from the National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases (DP3 DK094333-01), Financial support for this work provided by the NIDDK Diabetic Complications Consortium (DiaComp, www.diacomp.org), grant DK076169’, the Juvenile Diabetes Research Foundation (17-2013-310); and the Beatson Foundation. E.M. was in part supported by the Albert Renold Travel Fellowship of the European Foundation for the Study of Diabetes (EFSD).
List of abbreviations
- ACR
Albumin-to-Creatinine Ratio
- BMD
Bone Mineral Density
- CTx
Collagen Type 1 C-Telopeptide
- CVD
Cardiovascular Disease
- DXA
Dual-energy X-ray Absorptiometry
- eGFR
Estimated Glomerular Filtration Rate
- FSH
Follicle-Stimulating Hormone
- hsCRP
High-sensitivity C-reactive protein
- LH
Luteinizing Hormone
- PDR
Proliferative Diabetic Retinopathy
- PTHi
intact Parathormone,
- SHBG
Sex Hormone Binding Globulin
- T1D
Type 1 Diabetes
Footnotes
Conflict of interest: None.
Contribution statement: EM analyzed data, interpreted data and wrote the manuscript. SD, SH, SMRF and LT helped collect and analyze the data and edited the manuscript. MK, MB and NN contributed to the content and edited the manuscript. HK conceived and designed the study, analyzed and interpreted data and wrote the manuscript. All authors contributed to, read, and approved the final version of the manuscript.
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