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Objective: To analyze first-year treatment growth response and growth hormone (GH) dosage in prepubertal patients with the combination of type 1 diabetes mellitus (T1DM) and growth hormone deficiency (GHD).Study Design: A total of 69 patients with T1DM and GHD treated with GH have been enrolled in KIGS (Pfizer International Growth Database). Of these, 24 prepubertal patients had developed T1DM before GHD and were included in this analysis. Of 30 570 patients with GHD without T1DM, 15 024 were prepubertal and served as controls. Values are expressed as mean ± SD.Results: Patients with T1DM and GHD had similar characteristics compared with the GHD-alone group. Neither age (10.2 ± 3.13 vs 8.42 ± 3.46 years, P = .14), height SDS corrected for midparental height SDS at start of treatment (-1.62 ± 1.38 vs -1.61 ± 1.51, P = .80), nor GH dosage (0.24 ± 0.08 mg/kg/wk vs 0.20 ± 0.04 mg/kg/wk, P = .09) were different between those with and without T1DM. First-year catch-up growth was comparable between the 2 patient groups (first treatment year height velocity 7.54 ± 3.11 cm/year compared with 8.35 ± 2.54 cm/year in control patients, P = .38). Height SDS of children with T1DM and GHD improved from -2.62 ± 1.04 to -1.88 ± 1.11 over 1 year of GH treatment.Conclusion: Short-term response to GH therapy appeared similar in subjects with T1DM who then developed GHD and in those with GHD alone. Thus, T1DM does not appear to compromise GH response in children with GHD and should not exclude GH treatment in these children. GH treatment was safe in both subgroups of patients. [ABSTRACT FROM AUTHOR]

Objectives: To determine the prevalence of type 1 diabetes mellitus (T1D) in patients with juvenile idiopathic arthritis (JIA) and to characterize patients having both.Study Design: Diabetes comorbidity was recorded in the National Pediatric Rheumatologic Database since 2012. Data from the North Rhine-Westphalian diabetes registry served as the reference population for the prevalence of diabetes in the general population. The National Pediatric Rheumatologic Database data were indirectly standardized for age and sex for comparison with the general population. The diabetes prevalence ratio was calculated using the Poisson regression model.Results: The analysis included 12 269 patients with JIA. A total of 58 patients had comorbid T1D, and the diabetes prevalence was 0.5%. The mean age was 11.6 years at the time of documentation, and the mean disease duration was 4.2 years. Compared with the general population, the prevalence of diabetes in patients with JIA was significantly increased (prevalence ratio 1.76 [95% CI 1.34; 2.28], P < .001). The onset of diabetes in patients with JIA was earlier than that reported in the reference data. Sixty-three percent of patients developed T1D before JIA. On average, diabetes onset was 56 months before the onset of JIA. Patients who first developed JIA developed T1D on average 40 months later. The majority of patients had not received disease-modifying antirheumatic drugs before diabetes onset.Conclusions: T1D occurs more frequently in patients with JIA than in the general population. The likelihood of T1D occurrence appears to be slightly higher before JIA manifestation and without disease-modifying antirheumatic drug therapy after JIA onset. [ABSTRACT FROM AUTHOR]

Objectives: To analyze inflammatory markers, adipokines, and hepatokines in obese adolescents with and without type 2 diabetes mellitus (T2DM).Study Design: We studied high sensitivity C-reactive protein (hsCRP), tumor necrosis factor (TNF)-α, interleukin-1β, and interferon-γ, the hepatokines (fetuin-A and fibroblast growth factor [FGF]-21), and the adipokines (adiponectin and leptin) in a cross-sectional study of 74 predominately Caucasian adolescents with T2DM aged 12-18 years and in 74 body mass index (BMI)-, age-, and sex-matched controls.Results: Adolescents with T2DM had significantly higher concentrations of hsCRP, TNF-α, and interleukin-1β compared with obese controls without T2DM. Interferon-γ was not detectable in obese adolescents with or without T2DM. In multiple linear regression analysis, hsCRP was significantly associated with FGF-21 and BMI, but not with hemoglobin A1c, adiponectin, leptin, fetuin-A, sex, or age. TNF-α was significantly related negatively to leptin, positively to BMI, but not to hemoglobin A1c, adiponectin, fetuin-A, FGF-21 sex, or age in multiple linear regression analysis.Conclusions: Increased inflammatory markers are associated with T2DM in adolescents. Because hsCRP was related to FGF-21 and TNF-α was associated with leptin, these findings suggest a link between increased levels of these adipokines and hepatokines and chronic inflammation. Future longitudinal studies in humans are necessary to confirm these hypotheses. [ABSTRACT FROM AUTHOR]

Percentile-based non-high-density lipoprotein cholesterol levels were analyzed by glycemic control, weight, age, and sex of children with type 1 diabetes (n = 26,358). Ten percent of all children and 25% of overweight adolescent girls require both immediate lipid-lowering medication and lifestyle changes to achieve non-high-density lipoprotein cholesterol levels <120 mg/dL and cardiovascular risk reduction. [ABSTRACT FROM AUTHOR]

Objective To analyze the prevalence of juvenile idiopathic arthritis (JIA) and diabetes end points in pediatric patients with type 1 diabetes. Study design Patients with type 1 diabetes, recorded from 1995 up to September 2013 in the Diabetes Patienten Verlaufsdokumentation database (n = 54?911, <16 years of age, 47% girls), were analyzed. The patients' height, weight, and body mass index SDS, glycosylated hemoglobin A1c (HbA1c); insulin dose; hypertension and dyslipidemia prevalence; rate of hypoglycemic events; and ketoacidosis were compared between patients with and without JIA. To adjust for age, sex, diabetes duration, and migration background, data were analyzed in hierarchic multivariable regression models. Results The prevalence of JIA in type 1 diabetes was 106 of 54?911 patients; 66% were girls. Diabetes onset was earlier in children with JIA (7.2 years vs 8.3 years, P = .04). Children with JIA were smaller (SDS: -0.22 vs 0.09, P = .004). Correspondingly, weight SDS was lower in patients with JIA (-0.02 vs 0.22, P = .01). Body mass index SDS did not differ. HbA1c was marginally lower in children with JIA (63 mmol/mol [8.0%] vs 67 mmol/mol [8.3%], P = .06). Insulin requirement was greater in patients with JIA (1.03 vs 0.93 insulin units/weight/day, P = .003). Hypertension and dyslipidemia were comparable in both groups. Conclusions The JIA-prevalence in patients with type 1 diabetes (0.19%) was considerably greater than in the general population (0.05%). Growth is influenced negatively by JIA. Surprisingly, HbA1c was somewhat lower in children with JIA, possibly because of a more intensive treatment or a latent hemolysis caused by the inflammation. [ABSTRACT FROM AUTHOR]

Objective This prospective longitudinal survey was designed to follow patients with diabetes from disease onset in childhood over an extended period of time including puberty until young adulthood with respect to metabolic control. Study design An electronic diabetes patient documentation system used in diabetes centers in Austria and Germany was utilized for standardized data collection. Complete documentation of metabolic control for prepuberty (≤13 years), puberty (14-19 years), and adulthood (≥20 years) was available in 1146 patients. Results Median age at diabetes manifestation was 7.2 (IQR 4.7-9.4) years; 49% were male. In the prepubertal stage, median glycated hemoglobin A1c (HbA1c) was 7.5 (IQR 6.8-8.3), during puberty 8.0 (IQR 7.3-8.9), and after puberty 7.8 (IQR 7.1-9.0). A significant intra-individual correlation was found for prepuberty to puberty HbA1c levels (R = 0.55, P < .001), puberty to adulthood (R = 0.59, P < .001), as well as prepuberty to adulthood (R = 0.30, P < .001). When patients were divided into tertiles of prepubertal HbA1c, HbA1c increased in all 3 groups over time, however, significant group differences tracked into adulthood (P < .001 at all stages). A regression model identified pre-pubertal HbA1c as a significant and relevant predictor of metabolic control in young adulthood adjusted for confounders (P < .001). Conclusions This survey provides evidence for long-term tracking of metabolic control from childhood until adulthood, suggesting an early focus on metabolic control. [ABSTRACT FROM AUTHOR]

Objective: To relate self-reported smoking frequency to metabolic control and other cardiovascular risk factors in adolescents with type 1 diabetes. Study design: In the multicenter Diabetes Patienten Verlaufsdokumentationssystem database from Germany and Austria, anonymized records on 27 561 patients < 20 years of age with documented smoking status were available for analysis. Results: Self-reported smoking was negligible in patients younger than 11 years (0.1%), increasing to 5% in 11- to 15-year-old patients, and 28.4% in the 15- to 20-year-old age group. Multivariate analysis with adjustment for age, diabetes duration, sex, insulin therapy, and center differences, revealed that smokers had higher HbA1c-levels compared with non-smokers (9.1% vs 8.0%, P < .0001). Diastolic blood pressure was higher (68.2 vs 67.6 mm Hg, P < .0001), and the lipid profile was unfavorable in patients who smoke: Triglycerides and total cholesterol were higher and high-density lipoprotein–cholesterol was lower (all P < .0001). Conclusions: Smokers display significantly worse metabolic control and a higher cardiovascular risk profile. Although not attested in trials, we state that education about smoking, smoking prevention, and psychological help for smoking cessation should be an integral part of comprehensive pediatric care for adolescent patients with type 1 diabetes. [Copyright &y& Elsevier]

Objective: To analyze the interrelationship of metabolic control, age- and sex-adjusted body mass index, and daily insulin dose and to identify heterogeneous multivariate developmental curves from childhood to young adulthood in a large cohort of children with type 1 diabetes (T1D) STUDY DESIGN: Data were extracted from the diabetes follow-up registry DPV. Longitudinal data from 9239 participants with T1D age 8-18 years with diabetes duration ≥2 years and ≥5 years of follow-up were analyzed. We applied group-based multitrajectory modeling to identify latent groups of subjects following similar developmental curves across outcomes (hemoglobin A1c [HbA1c], age/sex-standardized body mass index [BMI-SDS], daily insulin dose per kg). Group number was based on Bayes information criterion and group size (≥5%).Results: The group-based multitrajectory approach revealed 5 heterogeneous 3-variate trajectories during puberty. Individuals with stable good metabolic control, high-normal increasing BMI-SDS, and rising insulin dose patterns were classified as group 1 (33%). Group 2 (20%) comprised youths with intermediate-increasing HbA1c, low BMI-SDS, and steeply increasing insulin dose trajectories. Group 3 (11%) followed intermediate-rising HbA1c and high-normal increasing BMI-SDS developmental curves, while insulin dose increased steeply. In group 4 (14%), both high-increasing HbA1c and insulin dose trajectories were observed, while BMI-SDS was stable-normal. Group 5 (22%) included subjects with intermediate-rising HbA1c patterns, high-increasing BMI-SDS, and increasing insulin dose patterns.Conclusions: This study identified 5 distinct 3-variate curves of HbA1c, BMI-SDS, and insulin dose during puberty among youths with T1D. This approach demonstrates a considerable heterogeneity highlighting the importance of personalized medical care. [ABSTRACT FROM AUTHOR]

Objective: To assess indications of eating disorders in girls with type 1 diabetes mellitus (T1DM).Study Design: In total 31 556 girls aged >6 months and <23 years of age with T1DM from the Diabetes Patienten Verlaufsdokumentation (DPV) cohort were analyzed including 155 (0.49%) girls with anorexia nervosa, 85 (0.27%) girls with bulimia nervosa, 45 (0.14%) girls with binge eating disorder, and 229 (0.73%) girls with eating disorders not otherwise specified. Patient characteristics, weight changes, numbers of patients with severe hypoglycemia and diabetic ketoacidosis (DKA), changes of glycosylated hemoglobin A1c (HbA1c) levels, use of pumps, and prevalence of celiac disease and autoimmune thyroiditis were compared between girls with and without eating disorders. Multiple logistic regression analyses were performed.Results: Eating disorders were significantly associated with late pubertal age, nonusage of pumps, no migration background, increased HbA1c levels, increased frequencies of DKA and severe hypoglycemia, and celiac disease were not related to eating disorders. Significant differences in HbA1c levels, prevalence of DKA and severe hypoglycemia between girls with and without eating disorders were already detectable in the first years after onset of T1DM. A decrease of body mass index (BMI)-SDS increased the risk for comorbid anorexia nervosa (7.1-fold [95% CI 3.6-14.3] compared with stable BMI-SDS, 6.9-fold [95%CI 3.4-14.1] compared with increase of BMI-SDS).Conclusions: Poor metabolic control and increased rates of DKA and severe hypoglycemia in the first years after manifestation of T1DM can be hints for eating disorders in girls with T1DM, and weight loss is specific for anorexia nervosa. These clinical features should lead to screening for eating disorders especially at a late pubertal age. [ABSTRACT FROM AUTHOR]

Objective: To identify distinct longitudinal patterns of body mass index (BMI) z score in type 1 diabetes from childhood to young adulthood and secondly to determine sex differences as well as associated clinical covariates.Study Design: A total of 5665 patients with type 1 diabetes (51% male) with follow-up from 8 to 20 years of age from the multicenter diabetes prospective registry DPV were studied (baseline diabetes duration ≥1 years, BMI z score aggregated per year of life). Latent class growth modeling (SAS: PROC TRAJ) was applied to analyze BMI z score over time.Results: Six distinct BMI z score trajectories were identified (group 1: 7% of patients, group 2: 22%, group 3: 20%, group 4: 16%, group 5: 25%, and group 6: 10%). Group 1, 2, 5, and 6 had an almost stable BMI z score, either in the low, near-normal, high stable, or chronic overweight range. Group 3 (60% girls) increased their BMI during puberty, whereas group 4 (65% boys) had a BMI decrease. Similar patterns were observed for girls only, whereas boys followed nearly stable trajectories without fluctuation over time. Between the near-normal and the other groups, significant differences (P < .05) in sex ratio, migration background, mental health, height z score, glycated hemoglobin A1c, diabetes treatment, dyslipidemia, hypertension, and smoking were observed.Conclusions: In youth with type 1 diabetes, a great heterogeneity of BMI z score trajectories exists that highlight the importance of personalized sex-specific intervention programs for subjects at risk for unfavorable BMI development. [ABSTRACT FROM AUTHOR]

Objective To examine the current extent of the obesity problem in 2 large pediatric clinical registries in the US and Europe and to examine the hypotheses that increased body mass index (BMI) z-scores (BMIz) are associated with greater hemoglobin A1c (HbA1c) and increased frequency of severe hypoglycemia in youth with type 1 diabetes (T1D). Study design International (World Health Organization) and national (Centers for Disease Control and Prevention/German Health Interview and Examination Survey for Children and Adolescents) BMI references were used to calculate BMIz in participants (age 2-<18 years and ≥1 year duration of T1D) enrolled in the T1D Exchange (n = 11 435) and the Diabetes Prospective Follow-up (n = 21 501). Associations between BMIz and HbA1c and severe hypoglycemia were assessed. Results Participants in both registries had median BMI values that were greater than international and their respective national reference values. BMIz was significantly greater in the T1D Exchange vs the Diabetes Prospective Follow-up ( P < .001). After stratification by age-group, no differences in BMI between registries existed for children 2-5 years, but differences were confirmed for 6- to 9-, 10- to 13-, and 14- to 17-year age groups (all P < .001). Greater BMIz were significantly related to greater HbA1c levels and more frequent occurrence of severe hypoglycemia across the registries, although these associations may not be clinically relevant. Conclusions Excessive weight is a common problem in children with T1D in Germany and Austria and, especially, in the US. Our data suggest that obesity contributes to the challenges in achieving optimal glycemic control in children and adolescents with T1D. [ABSTRACT FROM AUTHOR]

Objective: To facilitate child-specific and diabetes-related cholesterol control, we developed a monitoring algorithm derived from population-based reference values. Study design: Low-density lipoprotein (LDL)-, non-high-density lipoprotein (HDL)-, and HDL cholesterol percentile values were calculated for children with type 1 diabetes (T1D) and their peers without T1D within algorithm-based categories of sex, age: 1-10 vs >10-<18 years, body mass index: <90th vs ≥90th percentile, and hemoglobin A1c <6%, 6%-<7.5%, 7.5%-9%, >9%. Analyses included 26 147 patients sampled from a German/Austrian population-based registry for T1D (Diabetes Documentation and Quality Management System) and 14 057 peers without diabetes participating in the national Health Interview and Examination Survey for Children and Adolescents in Germany. Results: Reference percentile values for cholesterol were derived as a diagnostic algorithm aimed at supporting long-term cholesterol control. Taking account of a patient's sex, age-group, weight-, and hemoglobin A1c-category, the flowcharts of the algorithm developed separately for LDL-, non-HDL-, and HDL cholesterol allow comparing his/her cholesterol levels with population-based reference percentile values of peers without T1D. Conclusions: The population-based algorithmic approach applied to LDL-, non-HDL-, and HDL cholesterol allows referencing children with T1D with regard to their peers without T1D and, if necessary, suggests corrections of glycemic control to optimize long-term cholesterol levels. [Copyright &y& Elsevier]

Objective: To evaluate metabolic consequences of growth hormone (GH) treatment in children with type 1 diabetes. Study design: This study is an analysis of metabolic changes in 37 patients with childhood-onset GH deficiency and type 1 diabetes, documented in the Diabetes Patienten Verlaufsdocumentationsystem database. Main outcome measures were changes in hemoglobin A1c and daily insulin requirements during GH therapy in children with GH deficiency and type 1 diabetes compared with a large cohort of adolescents with type 1 diabetes. Results: Thirty-seven patients with type 1 diabetes and a diagnosis of idiopathic GH deficiency after onset of diabetes were compared with 48 856 patients with type 1 diabetes. After adjustment for age, sex, duration of diabetes, and migration background, a significant difference in mean daily insulin requirement was seen between the 2 groups (1.0 IU/kg/day in subjects with GH deficiency and type 1 diabetes vs 0.85 IU/kg/day in controls; P < .01) and height-SDS (−2.0 in subjects with GH deficiency and diabetes vs +0.03 in controls; P < .0001). There was no significant between-group difference in hemoglobin A1 concentration, however (8.1% ± 1.4% in patients with GH deficiency and type 1 diabetes vs 8.2% ± 1.7% in those with type 1 diabetes only; P > .05). Conclusion: An increased daily insulin requirement should be considered in patients with type 1 diabetes treated with GH. With adequate adaptation of insulin dosage, metabolic control is not impaired during GH treatment. [Copyright &y& Elsevier]

Objective: To investigate the effect of type 1 diabetes on growth and adult height. Study design: Data from 22 651 children (10 494 females) with type 1 diabetes documented at onset of the disease from specialized centers in Germany and Austria were analyzed. Patients of non-German and non-Austrian origin and patients with celiac disease were excluded from the analysis. Near-adult height data were available in 1685 patients. Results: At the time of diagnosis of type 1 diabetes, the mean age of the 22 651 children was 8.8 ± 4.2 years, with a mean height SDS of 0.22 ± 1.0. The 1685 patients with diabetes onset before age 11 years reached a mean adult height of −0.16 ± 1.0 SDS. Mean adult height was was 167.1 ± 6.2 cm (−0.16 ± 0.97 SDS) in females (n = 846) and 179.6 ± 7.1 cm (−0.17 ± 1.0 SDS) in males (n = 839). Mean duration of diabetes was 9.1 ± 2.6 years, and mean Hemoglobin A1c concentration was 7.9% ± 1.2% (63 ± 10 mmol/mol). In a multivariate regression model, adult height was positively correlated with height at onset of diabetes (P < .0001) and negatively with mean Hemoglobin A1c (P < .0001) and duration of diabetes (P = .0015). Conclusion: Height at the time of diagnosis of type 1 diabetes is above average. Even with intensive insulin therapy, growth and adult height remain indicators of metabolic diabetes control in the 21st century. [ABSTRACT FROM AUTHOR]

Objective: To estimate the prevalence of epilepsy and possible risk factors in children and adolescents with diabetes mellitus. Study design: We conducted an observational cohort study based on the Diabetes Patienten Verlaufsdokumentation database including data from 45 851 patients (52% male) with type 1 diabetes mellitus, age 13.9 ± 4.3 years (mean ± SD) and duration of diabetes mellitus 5.4 ± 4.2 years. The database was searched for the concomitant diagnosis of epilepsy or epileptic convulsions and for antiepileptic medication. Results: A total of 705 patients with epilepsy were identified, giving a prevalence of 15.5 of 1000. A total of 375 patients were treated with antiepileptic medication, and 330 patients were without anticonvulsive therapy. Patients with epilepsy were younger at onset of diabetes mellitus and shorter than patients without epilepsy, and their weight and body mass index were comparable. No difference could be demonstrated for metabolic control, type of insulin treatment, insulin dose, and prevalence of B-cell specific autoantibodies. The frequency of severe hypoglycemia was lower in patients treated with antiepileptic medication. The risk for diabetic ketoacidosis was almost double in patients with epilepsy compared with patients with type 1 diabetes mellitus alone (P < .01). Conclusion: Children and adolescents with diabetes mellitus show an increased prevalence of epileptic seizures. For unknown reasons, there is an association between epilepsy and diabetic ketoacidosis in children with type 1 diabetes mellitus. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the influence of biopsy-proven celiac disease (BPCD) on somatic development and metabolic parameters in children with type 1 diabetes mellitus (T1DM) in a multicenter survey. Study design: Within the Diabetes Patienten Verlaufsdokumentationssystem–Wiss project, data of 41 951 patients with T1DM, aged <20 years (52% males, mean age 13.9 years; mean duration of diabetes 5.5 years) were collected in 297 centers in Germany and Austria from 1995 to 2009. Results: The number of BPCD (0.6% in 1995; 1.3% in 2008) has increased over time. Patients with BPCD were significantly younger at diabetes onset (5.9 vs 8.3 years), had a significantly lower weight standard deviation score (SDS); (0.20 vs 0.43) and height SDS (-0.28 vs -0.03) (P < .001, each) compared with patients without celiac disease. No differences were found in hemoglobin A1c or numbers of severe hypoglycemia. In a subgroup of 9805 patients (183 with BPCD) significantly lower height and weight SDS (P < .001) were still found after a 5-year follow-up. Conclusions: Screening for celiac disease is important in children with T1DM to prevent persistent growth failure. [ABSTRACT FROM AUTHOR]

Objective: To analyze the prevalence of juvenile idiopathic arthritis (JIA) and diabetes end points in pediatric patients with type 1 diabetes., Study Design: Patients with type 1 diabetes, recorded from 1995 up to September 2013 in the Diabetes Patienten Verlaufsdokumentation database (n = 54,911, <16 years of age, 47% girls), were analyzed. The patients' height, weight, and body mass index SDS, glycosylated hemoglobin A1c (HbA1c); insulin dose; hypertension and dyslipidemia prevalence; rate of hypoglycemic events; and ketoacidosis were compared between patients with and without JIA. To adjust for age, sex, diabetes duration, and migration background, data were analyzed in hierarchic multivariable regression models., Results: The prevalence of JIA in type 1 diabetes was 106 of 54,911 patients; 66% were girls. Diabetes onset was earlier in children with JIA (7.2 years vs 8.3 years, P = .04). Children with JIA were smaller (SDS: -0.22 vs 0.09, P = .004). Correspondingly, weight SDS was lower in patients with JIA (-0.02 vs 0.22, P = .01). Body mass index SDS did not differ. HbA1c was marginally lower in children with JIA (63 mmol/mol [8.0%] vs 67 mmol/mol [8.3%], P = .06). Insulin requirement was greater in patients with JIA (1.03 vs 0.93 insulin units/weight/day, P = .003). Hypertension and dyslipidemia were comparable in both groups., Conclusions: The JIA-prevalence in patients with type 1 diabetes (0.19%) was considerably greater than in the general population (0.05%). Growth is influenced negatively by JIA. Surprisingly, HbA1c was somewhat lower in children with JIA, possibly because of a more intensive treatment or a latent hemolysis caused by the inflammation., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Objective: To investigate the influence of celiac disease (CD) on growth and metabolic control in a nationwide cohort of children and adolescents with type 1 diabetes (T1D)., Study Design: We analyzed data from 19,796 pediatric patients with T1D in the German pediatric multicenter DPV-database for occurrence of CD., Results: CD-specific antibodies were present in 1326 patients (6.7%). The diagnosis was confirmed in 127 patients (0.6%) by small-bowel biopsy. Female subjects were significantly more predisposed to have T1D and CD. The CD-affected patients in our cohort were significantly younger at diabetes onset. Furthermore, they had significantly lower height-SDS at onset (-0.49 vs -0.06, P < .05), a difference that increased during the course of the disease (-0.80 vs -0.26 after 9 years of diabetes, P < .05). In addition, body mass index-SDS significantly differed between the groups (0.22 vs 0.47, P < .05). Evidence for thyroid disease was more commonly observed in the T1D with CD group (6.3% vs 2.3%, P < .05). HbA1c values were lower in the patients with T1D and CD., Conclusions: The CD-positive patients were characterized by earlier onset of diabetes and decreased growth and weight gain. These findings emphasize the clinical relevance of celiac disease in patients with autoimmune diabetes.