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OBJECTIVE Understanding mechanisms underlying rapid estimated glomerular filtration rate (eGFR) decline is important to predict and treat kidney disease in type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS We performed a case-control study nested within four T1D cohorts to identify urinary proteins associated with rapid eGFR decline. Case and control subjects were categorized based on eGFR decline ≥3 and RESULTS The cohort study included 1,270 participants followed a median 8 years. In the discovery set, only cathepsin D peptide and protein were significant on full adjustment for clinical and laboratory variables. In the validation set, associations of cathepsin D with eGFR decline were replicated in minimally adjusted models but lost significance with adjustment for albuminuria. In a meta-analysis with combination of discovery and validation sets, the odds ratio for the association of cathepsin D with rapid eGFR decline was 1.29 per SD (95% CI 1.07–1.55). In complementary human cohorts, urine cathepsin D was associated with tubulointerstitial injury and tubulointerstitial cathepsin D expression was associated with increased cortical interstitial fractional volume. In mouse proximal tubular epithelial cell cultures, advanced glycation end product–BSA increased cathepsin D activity and inflammatory and tubular injury markers, which were further increased with cathepsin D siRNA. CONCLUSIONS Urine cathepsin D is associated with rapid eGFR decline in T1D and reflects kidney tubulointerstitial injury.

OBJECTIVE Type 1 diabetes is associated with a higher risk of cardiovascular disease (CVD) in women. Although menopause increases risk of CVD, it is uncertain how menopause affects risk of CVD in women with type 1 diabetes. We examined whether risk of CVD changes differentially in women with and those without type 1 diabetes over the transition through menopause. RESEARCH DESIGN AND METHODS Premenopausal women with type 1 diabetes (n = 311) and premenopausal women without diabetes (n = 325) enrolled in the Coronary Artery Calcification in Type 1 Diabetes (CACTI) study and attended up to four study visits over 18 years. Coronary artery calcium (CAC) volume was measured from computed tomography scans obtained at each visit. Longitudinal repeated-measures modeling estimated the effect of diabetes on CAC volume over time and the effect of menopause on the diabetes-CAC relationship. RESULTS CAC volume was higher at baseline and increased more over time in women with type 1 diabetes than in women without diabetes. A significant diabetes-by-menopause interaction was found (P < 0.0001): postmenopausal women with type 1 diabetes had significantly higher CAC volumes than premenopausal women (5.14 ± 0.30 vs. 2.91 ± 0.18 mm3), while there was no difference in women without diabetes (1.78 ± 0.26 vs. 1.78 ± 0.17 mm3). This interaction remained significant after adjusting for CVD risk factors. CONCLUSIONS Type 1 diabetes was associated with higher CAC volume and accelerated progression of CAC over time. Menopause increased CAC progression more in women with diabetes than in women without diabetes independent of age and other CVD risk factors known to worsen with menopause.

OBJECTIVE Novel biomarkers are needed to better predict coronary artery calcification (CAC), a marker of subclinical atherosclerosis, and diabetic kidney disease (DKD) in type 1 diabetes. We evaluated the associations between serum uromodulin (SUMOD [a biomarker associated with anti-inflammatory and renal protective properties]), CAC progression, and DKD development over 12 years. RESEARCH DESIGN AND METHODS Participants (n = 527, 53% females) in the Coronary Artery Calcification in Type 1 Diabetes (CACTI) study were examined during 2002–2004, at a mean age of 39.6 ± 9.0 years and a median duration of diabetes of 24.8 years. Urine albumin-to-creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR) determined by the CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) creatinine equation were measured at baseline and after a mean follow-up period of 12.1 ± 1.5 years. Elevated albumin excretion was defined as ACR ≥30 mg/g, rapid GFR decline (>3 mL/min/1.73 m2/year), and impaired GFR as eGFR RESULTS Higher baseline SUMOD level conferred lower odds of CAC progression (odds ratio 0.68; 95% CI 0.48–0.97), incident elevated albumin excretion (0.37; 0.16–0.86), rapid GFR decline (0.56; 0.35–0.91), and impaired GFR (0.44; 0.24–0.83) per 1 SD increase in SUMOD (68.44 ng/mL) after adjustment for baseline age, sex, systolic blood pressure, LDL cholesterol, and albuminuria/GFR. The addition of SUMOD to models with traditional risk factors also significantly improved the prediction performance for CAC progression and incident DKD. CONCLUSIONS Higher baseline SUMOD level predicted lower odds of both CAC progression and incident DKD over 12 years in adults with type 1 diabetes.

OBJECTIVE In 2010, the American Heart Association defined seven metrics (smoking, BMI, physical activity, diet, total cholesterol, blood pressure, and fasting plasma glucose) for ideal cardiovascular health (ICH). Subsequent studies have shown that the prevalence of achieving these metrics is very low in the general population. Adults with type 1 diabetes are at increased risk of cardiovascular disease (CVD), but no studies to date have been published on the prevalence of ICH in this population. RESEARCH DESIGN AND METHODS Data for this analysis were collected as part of the prospective Coronary Artery Calcification in Type 1 Diabetes study. This analysis involved 546 subjects with type 1 diabetes and 631 subjects without diabetes who had complete information for calculating the ICH metrics. RESULTS Overall, the prevalence of ICH was low in this population, with none meeting the ideal criteria for all seven metrics. The prevalence of ideal physical activity (10.0%) and diet (1.1%) were particularly low. ICH was significantly associated with both decreased prevalence (odds ratio [OR] 0.70; 95% CI 0.62–0.80) and progression (OR 0.77; 95% CI 0.66–0.90) of coronary artery calcification (CAC). CONCLUSIONS ICH is significantly associated with decreased prevalence and progression of CAC; however, prevalence of ICH metrics was low in adults both with and without type 1 diabetes. Efforts to increase the prevalence of ICH could have a significant impact on reducing the burden of CVD.

OBJECTIVE To determine whether baseline estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR) independently predict coronary artery calcification (CAC) progression, and to determine how eGFR changes over 6 years in adults with type 1 diabetes compared with nondiabetic adults. RESEARCH DESIGN AND METHODS The Coronary Artery Calcification in Type 1 Diabetes study participants (n = 1,066) with complete data for eGFR assessment at baseline and 6 years were included. Three Chronic Kidney Disease Epidemiology Collaboration equations (serum creatinine, cystatin C, and both) were used to estimate eGFR. The association of baseline ACR and eGFR with CAC progression was analyzed using multiple logistic regression. RESULTS Increasing categorical baseline ACR (30 µg/mg) predicted CAC progression in participants with type 1 diabetes (odds ratio [OR], 2.15; 95% CI, 1.50–3.09; 7.19 [3.90–13.26]; and 18.09 [8.48–38.62]), respectively, compared with nondiabetic subjects. Baseline eGFR CONCLUSIONS Although increasing ACR or decreasing eGFR predicts CAC progression, coronary atherosclerosis progresses faster in people with type 1 diabetes even in the absence of diabetic kidney disease. These findings emphasize the interaction between kidney disease and cardiovascular disease in type 1 diabetes and highlight the public health importance of lowering cardiorenal risk in people with type 1 diabetes.

OBJECTIVE Type 1 diabetes is a common chronic childhood disease, and the incidence is increasing globally. Childhood infections are considered a potential environmental trigger of type 1 diabetes. Alternatively, improved hygiene and reduced childhood infections could explain the increase in type 1 diabetes in developed countries. The association of reported illnesses during infancy and later development of islet autoimmunity (IA) were examined in the Diabetes Autoimmunity Study in the Young. RESEARCH DESIGN AND METHODS Complete illness interviews through 9 months of age were collected for 1,729 children—1,174 without a family history of type 1 diabetes and 555 with a first-degree relative with type 1 diabetes. Persistent IA was defined as positive antibodies to insulin, glutamic acid decarboxylase, or tyrosine phosphatase on at least two consecutive study visits. RESULTS There were 109 children with persistent IA among the 1,729 children with illness records. A greater number of gastrointestinal illnesses were associated with an increased risk of IA, but only among children who were exposed to gluten-containing grains (wheat or barley) either CONCLUSIONS Specific pathogens such as enteroviruses or rotavirus may increase the risk of IA in the presence of existing inflammation induced by diet.

OBJECTIVE To define a panel of novel protein biomarkers of renal disease. RESEARCH DESIGN AND METHODS Adults with type 1 diabetes in the Coronary Artery Calcification in Type 1 Diabetes study who were initially free of renal complications (n = 465) were followed for development of micro- or macroalbuminuria (MA) and early renal function decline (ERFD, annual decline in estimated glomerular filtration rate of ≥3.3%). The label-free proteomic discovery phase was conducted in 13 patients who progressed to MA by the 6-year visit and 11 control subjects, and four proteins (Tamm-Horsfall glycoprotein, α-1 acid glycoprotein, clusterin, and progranulin) identified in the discovery phase were measured by enzyme-linked immunosorbent assay in 74 subjects: group A, normal renal function (n = 35); group B, ERFD without MA (n = 15); group C, MA without ERFD (n = 16); and group D, both ERFD and MA (n = 8). RESULTS In the label-free analysis, a model of progression to MA was built using 252 peptides, yielding an area under the curve (AUC) of 84.7 ± 5.3%. In the validation study, ordinal logistic regression was used to predict development of ERFD, MA, or both. A panel including Tamm-Horsfall glycoprotein (odds ratio 2.9, 95% CI 1.3–6.2, P = 0.008), progranulin (1.9, 0.8–4.5, P = 0.16), clusterin (0.6, 0.3–1.1, P = 0.09), and α-1 acid glycoprotein (1.6, 0.7–3.7, P = 0.27) improved the AUC from 0.841 to 0.889. CONCLUSIONS A panel of four novel protein biomarkers predicted early renal damage in type 1 diabetes. These findings require further validation in other populations for prediction of renal complications and treatment monitoring.

OBJECTIVE The objective of this study is to examine the relationship among serum levels of 25-hydroxyvitamin D (25[OH]D), polymorphisms in vitamin D-associated genes, and the presence and progression of coronary artery calcification (CAC) in adults with type 1 diabetes. RESEARCH DESIGN AND METHODS This prospective study included 374 non-Hispanic white individuals with type 1 diabetes (mean age 40 ± 9 years; 46% were male). CAC was measured at the baseline and 3- and 6-year follow-up visits were determined by electron beam computed tomography. Serum 25[OH]D levels were measured by liquid chromatography tandem mass spectrometry at the 3-year visit. RESULTS Normal (>30 ng/mL), insufficient (20–30 ng/mL), and deficient ( CONCLUSIONS Vitamin D deficiency independently predicts prevalence and development of CAC, a marker of coronary artery plaque burden, in individuals with type 1 diabetes.

OBJECTIVE—Dyslipidemia is a preventable major risk factor for coronary heart disease (CHD). Despite an increased risk of CHD in type 1 diabetes, little is known concerning awareness and adequacy of dyslipidemia treatment in this population. In this report, we describe the prevalence of dyslipidemia and adequacy of pharmacological treatment in patients with type 1 diabetes and comparable nondiabetic subjects. RESEARCH DESIGN AND METHODS—From 2000 to 2002, the Coronary Artery Calcification in Type 1 Diabetes study obtained fasting lipid profiles in 1,416 individuals aged 19–56 years with no history of CHD: 652 type 1 diabetic patients (46% men, mean age 37 ± 9 years) and 764 nondiabetic control subjects (50% men, mean age 39 ± 9 years). These data combined with patient questionnaire results were used to determine prevalence of dyslipidemia and adequacy of pharmacological treatment. For all subjects, dyslipidemia was defined using National Cholesterol Education Program Adult Treatment Panel III criteria. RESULTS—Type 1 diabetic subjects had significantly less dyslipidemia than nondiabetic control subjects (47 vs. 58%, P < 0.001), and a higher percentage of those with abnormal lipids were aware of (52 vs. 34%, P < 0.0001), on medication for (36 vs. 9%, P < 0.0001), and in control of their lipid levels (15 vs. 1.4%, P < 0.001). Of those on treatment, control was achieved in 41% of type 1 diabetic subjects and 15% of nondiabetic participants (P < 0.01). CONCLUSIONS—Dyslipidemia, a major risk factor for CHD, remains largely undiagnosed and undertreated in high-risk populations, such as patients with type 1 diabetes.

OBJECTIVE—The prevalence of gestational diabetes mellitus (GDM) varies in direct proportion with the prevalence of type 2 diabetes in a given population or ethnic group. Given that the number of people with diabetes worldwide is expected to increase at record levels through 2030, we examined temporal trends in GDM among diverse ethnic groups. RESEARCH DESIGN AND METHODS—Kaiser Permanente of Colorado (KPCO) has used a standard protocol to universally screen for GDM since 1994. This report is based on 36,403 KPCO singleton pregnancies occurring between 1994 and 2002 and examines trends in GDM prevalence among women with diverse ethnic backgrounds. RESULTS—The prevalence of GDM among KPCO members doubled from 1994 to 2002 (2.1–4.1%, P < 0.001), with significant increases in all racial/ethnic groups. In logistic regression, year of diagnosis (odds ratio [OR] and 95% CI per 1 year = 1.12 [1.09–1.14]), mother’s age (OR per 5 years = 1.7 [1.6–1.8]) and ethnicity other than non-Hispanic white (OR = 2.1 [1.9–2.4]) were all significantly associated with GDM. Birth year remained significant (OR = 1.06, P = 0.006), even after adjusting for prior GDM history. CONCLUSIONS—This study shows that the prevalence of GDM is increasing in a universally screened multiethnic population. The increasing GDM prevalence suggests that the vicious cycle of diabetes in pregnancy initially described among Pima Indians may also be occurring among other U.S. ethnic groups.

OBJECTIVE—Coronary artery disease (CAD) occurs earlier in life and is more often fatal in people with type 1 diabetes. This excess risk seems to be higher than in those with type 2 diabetes and is poorly explained by conventional risk factors. The role of glycemic control is controversial and has not been previously addressed in a prospective manner using a reliable marker for subclinical CAD, such as coronary artery calcification (CAC), measured by electron beam computed tomography (EBCT). RESEARCH DESIGN AND METHODS—We measured CAC twice during an interval of 2.7 years in 109 men and women with type 1 diabetes (aged 22–50 years). Progression of CAC was found in 21 patients, based on change in the square root-transformed volume score. RESULTS—In multiple logistic regression, CAC progression was associated with baseline hyperglycemia (odds ratio [OR] 7.11, 95% CI 1.38–36.6, P = 0.02), adjusted for the presence of CAC at baseline (P = 0.01), duration of diabetes (P = 0.02), sex (P = 0.09), and age (P = 0.27). There was also a significant interactive effect of higher insulin dose and higher BMI (P = 0.03). CONCLUSIONS—In conclusion, in this young cohort with type 1 diabetes, suboptimal glycemic control (HbA1c >7.5%) was a strong risk factor for progression of CAC. Insulin resistance may also play a role.

OBJECTIVE We sought to examine whether age at menarche has changed over the past 4 decades by comparing age at menarche by year of diagnosis with type 1 diabetes. RESEARCH DESIGN AND METHODS This work consisted of a cross-sectional study of age at menarche in two cohorts: adolescents (ages 11–24 years, n = 228) and adults (ages 19–55 years, n = 290, enrolled in the Coronary Artery Calcification in Type 1 Diabetes study). RESULTS The adolescent cohort reported a younger age of menarche than the adult women with type 1 diabetes (12.69 ± 0.08 vs. 13.22 ± 0.12 years, mean ± SE, P < 0.001). Age at menarche was later in both adolescent girls and adult women with type 1 diabetes diagnosed before menarche (12.82 ± 1.16 and 13.7 ± 2.23 years) than for individuals diagnosed after menarche (12.12 ± 1.25 and 12.65 ± 1.38 years, P < 0.001 for both). Age at menarche was then examined by decade of type 1 diabetes diagnosis (1970–1979, 1980–1989, 1990–1999, and 2000–2009). Age at menarche significantly declined over the 4 decades (P = 0.0002). However, the delay in menarche among girls diagnosed with type 1 diabetes before menarche compared with those diagnosed after menarche was also significant across all decades (P < 0.0001) and did not change significantly over time (P = 0.41 for interaction of cohort and diagnosis premenarche). CONCLUSIONS Age at menarche has declined over the past 4 decades among girls with type 1 diabetes, but a delay in age at menarche remains among individuals diagnosed before menarche compared with individuals diagnosed after menarche.

OBJECTIVE To examine uric acid (UA) as a possible predictor of the progression of coronary artery calcification (CAC) using data from the prospective Coronary Artery Calcification in Type 1 Diabetes (CACTI) Study. RESEARCH DESIGN AND METHODS CAC was measured by electron beam tomography at the baseline and at a follow-up 6.0 ± 0.5 years later. The study population included 443 participants with type 1 diabetes and 526 control subjects who were free of diagnosed coronary artery disease at baseline. The presence of renal disease was defined by the presence of albuminuria and/or low glomerular filtration rate. RESULTS In subjects without renal disease, serum UA predicted CAC progression (odds ratio 1.30 [95% CI 1.07–1.58], P = 0.007) independent of conventional cardiovascular risk factors including diabetes and the presence of metabolic syndrome. CONCLUSIONS Serum UA levels predict the progression of coronary atherosclerosis and may be useful in identifying who is at risk for vascular disease in the absence of significant chronic kidney disease.

OBJECTIVE Diabetic nephropathy (DN) is a major cause of mortality in type 1 diabetes. Reduced insulin sensitivity is a well-documented component of type 1 diabetes. We hypothesized that baseline insulin sensitivity would predict development of DN over 6 years. RESEARCH DESIGN AND METHODS We assessed the relationship between insulin sensitivity at baseline and development of early phenotypes of DN—microalbuminuria (albumin-creatinine ratio [ACR] ≥30 mg/g) and rapid renal function decline (glomerular filtration rate [GFR] loss >3 mL/min/1.73 m2 per year)—with three Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations over 6 years. Subjects with diabetes (n = 449) and without diabetes (n = 565) in the Coronary Artery Calcification in Type 1 Diabetes study had an estimated insulin sensitivity index (ISI) at baseline and 6-year follow-up. RESULTS The ISI was lower in subjects with diabetes than in those without diabetes (P < 0.0001). A higher ISI at baseline predicted a lower odds of developing an ACR ≥30 mg/g (odds ratio 0.65 [95% CI 0.49–0.85], P = 0.003) univariately and after adjusting for HbA1c (0.69 [0.51–0.93], P = 0.01). A higher ISI at baseline conferred protection from a rapid decline of GFR as assessed by CKD-EPI cystatin C (0.77 [0.64–0.92], P = 0.004) and remained significant after adjusting for HbA1c and age (0.80 [0.67–0.97], P = 0.02). We found no relation between ISI and rapid GFR decline estimated by CKD-EPI creatinine (P = 0.38) or CKD-EPI combined cystatin C and creatinine (P = 0.50). CONCLUSIONS Over 6 years, a higher ISI independently predicts a lower odds of developing microalbuminuria and rapid GFR decline as estimated with cystatin C, suggesting a relationship between insulin sensitivity and early phenotypes of DN.

To determine whether baseline estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR) independently predict coronary artery calcification (CAC) progression, and to determine how eGFR changes over 6 years in adults with type 1 diabetes compared with nondiabetic adults.The Coronary Artery Calcification in Type 1 Diabetes study participants (n = 1,066) with complete data for eGFR assessment at baseline and 6 years were included. Three Chronic Kidney Disease Epidemiology Collaboration equations (serum creatinine, cystatin C, and both) were used to estimate eGFR. The association of baseline ACR and eGFR with CAC progression was analyzed using multiple logistic regression.Increasing categorical baseline ACR (10, 10-30, and30 µg/mg) predicted CAC progression in participants with type 1 diabetes (odds ratio [OR], 2.15; 95% CI, 1.50-3.09; 7.19 [3.90-13.26]; and 18.09 [8.48-38.62]), respectively, compared with nondiabetic subjects. Baseline eGFR60 mL/min/1.73 m(2) also predicted CAC progression (OR, 5-7, compared with nondiabetic participants). ORs for CAC progression were higher in women than in men when using the cystatin C-based Chronic Kidney Disease Epidemiology Collaboration equations. Participants with type 1 diabetes had greater eGFR decreases over 6 years than nondiabetic participants using cystatin C-based equations.Although increasing ACR or decreasing eGFR predicts CAC progression, coronary atherosclerosis progresses faster in people with type 1 diabetes even in the absence of diabetic kidney disease. These findings emphasize the interaction between kidney disease and cardiovascular disease in type 1 diabetes and highlight the public health importance of lowering cardiorenal risk in people with type 1 diabetes.

OBJECTIVE The role of inflammation in the increased risk of cardiovascular disease in type 1 diabetes is unclear. We examined the association of inflammation and progression of coronary artery calcification (CAC)—a marker of subclinical atherosclerosis—in adults with and without type 1 diabetes. RESEARCH DESIGN AND METHODS A nested case-control study was performed within the prospective cohort of the Coronary Artery Calcification in Type 1 Diabetes (CACTI) study. Participants underwent two CAC measurements ∼2.5 years apart. Case subjects (n = 204) were those with significant progression of CAC. Control subjects (n = 258) were frequency-matched to case subjects on diabetes status, sex, age, and baseline CAC status. Inflammatory marker assessments were performed on stored blood samples from baseline. A principal components analysis (PCA) was performed and a composite score derived from that analysis. The composite score was constructed by assigning a value of 1 for each PCA component where at least one of the markers exceeded the 75th percentile (range 0–4). Conditional logistic regression was used for the matching strategy. RESULTS The first two components of the PCA were modestly (odds ratio 1.38 [95% CI 1.08–1.77] and 1.27 [1.02–1.59], respectively) associated with CAC progression after adjustment for other risk factors. The composite score was more strongly associated with CAC progression for those with elevated markers in three or four of the principal components compared with those with none. CONCLUSIONS Measures of inflammation were associated with progression of CAC in a population of adults with and without type 1 diabetes.

OBJECTIVE Type 1 diabetes is a common chronic childhood disease, and the incidence is increasing globally. Childhood infections are considered a potential environmental trigger of type 1 diabetes. Alternatively, improved hygiene and reduced childhood infections could explain the increase in type 1 diabetes in developed countries. The association of reported illnesses during infancy and later development of islet autoimmunity (IA) were examined in the Diabetes Autoimmunity Study in the Young. RESEARCH DESIGN AND METHODS Complete illness interviews through 9 months of age were collected for 1,729 children—1,174 without a family history of type 1 diabetes and 555 with a first-degree relative with type 1 diabetes. Persistent IA was defined as positive antibodies to insulin, glutamic acid decarboxylase, or tyrosine phosphatase on at least two consecutive study visits. RESULTS There were 109 children with persistent IA among the 1,729 children with illness records. A greater number of gastrointestinal illnesses were associated with an increased risk of IA, but only among children who were exposed to gluten-containing grains (wheat or barley) either

OBJECTIVE To compare serum cystatin C levels, a novel biomarker of renal function, in adolescents with and without type 1 diabetes and to determine what factors affect cystatin C levels. RESEARCH DESIGN AND METHODS Cystatin C was measured in youth 12–19 years of age with (n = 259, diabetes duration 9 ± 3 years, HbA1c 8.9 ± 1.6%) and without diabetes (n = 78). Data were compared by diabetes status, and linear regression was used to determine factors affecting cystatin C. RESULTS Cystatin C (0.698 ± 0.083 vs. 0.688 ± 0.127 mg/L, P = 0.40) was similar by diabetes status. In multiple linear regression, cystatin C was associated with age and serum creatinine in nondiabetic subjects and sex, age, and serum creatinine in subjects with diabetes (P < 0.05). CONCLUSIONS These data suggest sex differences and age-related changes in cystatin C in adolescents with type 1 diabetes. An understanding of these changes is needed to determine the potential role of cystatin C as a marker of renal function in this population.

OBJECTIVE Depression is associated with poor glycemic control and complications in people with type 1 diabetes. We assessed the prevalence of depression and antidepressant medication use among adults with and without type 1 diabetes and the association between depression and diabetes complications. RESEARCH DESIGN AND METHODS In 2006–2008, the Coronary Artery Calcification in Type 1 Diabetes Study applied the Beck Depression Inventory II (BDI-II) to 458 participants with type 1 diabetes (47% male, aged 44 ± 9 years, type 1 diabetes duration 29 ± 9 years) and 546 participants without diabetes (nondiabetic group) (51% male, aged 47 ± 9 years). Use of antidepressant medication was self-reported. Depression was defined as a BDI-II score >14 and/or use of antidepressant medication. Occurrence of diabetes complications (retinopathy, blindness, neuropathy, diabetes-related amputation, and kidney or pancreas transplantation) was self-reported. RESULTS Mean BDI-II score, adjusted for age and sex, was significantly higher in participants with type 1 diabetes than in nondiabetic participants (least-squares mean ± SE: 7.4 ± 0.3 vs. 5.0 ± 0.3; P < 0.0001). Type 1 diabetic participants reported using more antidepressant medications (20.7 vs. 12.1%, P = 0.0003). More type 1 diabetic than nondiabetic participants were classified as depressed by BDI-II cut score (17.5 vs. 5.7%, P < 0.0001) or by either BDI-II cut score or antidepressant use (32.1 vs. 16.0%, P < 0.0001). Participants reporting diabetes complications (n = 209) had higher mean BDI-II scores than those without complications (10.7 ± 9.3 vs. 6.4 ± 6.3, P < 0.0001). CONCLUSIONS Compared with nondiabetic participants, adults with type 1 diabetes report more symptoms of depression and more antidepressant medication usage. Depression is highly prevalent in type 1 diabetes and requires further study on assessment and treatment.

Coronary artery disease (CAD) occurs earlier in life and is more often fatal in people with type 1 diabetes. This excess risk seems to be higher than in those with type 2 diabetes and is poorly explained by conventional risk factors. The role of glycemic control is controversial and has not been previously addressed in a prospective manner using a reliable marker for subclinical CAD, such as coronary artery calcification (CAC), measured by electron beam computed tomography (EBCT).We measured CAC twice during an interval of 2.7 years in 109 men and women with type 1 diabetes (aged 22-50 years). Progression of CAC was found in 21 patients, based on change in the square root-transformed volume score.In multiple logistic regression, CAC progression was associated with baseline hyperglycemia (odds ratio [OR] 7.11, 95% CI 1.38-36.6, P = 0.02), adjusted for the presence of CAC at baseline (P = 0.01), duration of diabetes (P = 0.02), sex (P = 0.09), and age (P = 0.27). There was also a significant interactive effect of higher insulin dose and higher BMI (P = 0.03).In conclusion, in this young cohort with type 1 diabetes, suboptimal glycemic control (HbA(1c)7.5%) was a strong risk factor for progression of CAC. Insulin resistance may also play a role.