scholarly journals Autoimmune Diseases in Children and Adults With Type 1 Diabetes From the T1D Exchange Clinic Registry

2016 ◽  
Vol 101 (12) ◽  
pp. 4931-4937 ◽  
Author(s):  
Jing W. Hughes ◽  
Tonya D. Riddlesworth ◽  
Linda A. DiMeglio ◽  
Kellee M. Miller ◽  
Michael R. Rickels ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Autoimmune Diseases ◽  
Medical Records ◽  
Age Groups ◽  
Vascular Diseases ◽  
Older Individuals ◽  
Collagen Vascular Diseases ◽  
Race Ethnicity ◽  
Hispanic White

Background and Aims: Type 1 diabetes (T1D) is associated with other autoimmune diseases (AIDs), but the prevalence and associated predictive factors for these comorbidities of T1D across all age groups have not been fully characterized. Materials and Methods: Data obtained from 25 759 participants with T1D enrolled in the T1D Exchange Registry were used to analyze the types and frequency of AIDs as well as their relationships to gender, age, and race/ethnicity. Diagnoses of autoimmune diseases, represented as ordinal categories (0, 1, 2, 3, or more AIDs) were obtained from medical records of Exchange Registry participants. Results: Among the 25 759 T1D Exchange participants, 50% were female, 82% non-Hispanic white, mean age was 23.0 ± 16.9 years and mean duration of diabetes was 11 years. Of these participants, 6876 (27%) were diagnosed with at least one AID. Frequency of two or more AIDs increased from 4.3% in participants aged younger than 13 years to 10.4% in those aged 50 years or older. The most common AIDs were thyroid (6097, 24%), gastrointestinal (1530, 6%), and collagen vascular diseases (432, 2%). Addison’s disease was rare (75, 0.3%). The prevalence of one or more AIDs was increased in females and non-Hispanic whites and with older age. Conclusions: In the T1D Exchange Clinic Registry, a diagnosis of one or more AIDs in addition to T1D is common, particularly in women, non-Hispanic whites, and older individuals. Results of this study have implications for both primary care and endocrine practice and will allow clinicians to better anticipate and manage the additional AIDs that develop in patients with T1D.

scholarly journals Trends in Glycemic among Youth with Diabetes: The SEARCH for Diabetes in Youth Study

2022 ◽  
Author(s):  
Faisal S. Malik ◽  
Katherine A. Sauder ◽  
Scott Isom ◽  
Beth A. Reboussin ◽  
Dana Dabelea ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Household Income ◽  
Age Groups ◽  
Race Ethnicity ◽  
Youth Study ◽  
Diabetes In Youth

<b>OBJECTIVES: </b>To describe temporal trends and correlates of glycemic control in youth and young adults (YYA) with youth-onset diabetes. <p><b>RESEARCH DESIGN AND METHODS: </b>The study included 6,492 participants with type 1 or type 2 diabetes from the SEARCH for Diabetes in Youth study. Participant visit data were categorized into time periods 2002-2007, 2008-2013 and 2014-2019, diabetes durations of 1-4, 5-9, and 10+ years, and age groups 1-9, 10-14, 15-19, 20-24, 25+ years. Participants contributed one randomly selected data point to each duration and age group per time period. Multivariable regression models were used to test differences in hemoglobin A<sub>1c</sub> (HbA<sub>1c</sub>) over time by diabetes type. Models were adjusted for site, age, sex, race/ethnicity, household income, health insurance status, insulin regimen and diabetes duration, overall and stratified for each duration and age group.</p> <p><b>RESULTS: </b>Adjusted mean HbA<sub>1c</sub> for the 2014-2019 cohort of YYA with type 1 diabetes was 8.8%±0.04%. YYA with type 1 diabetes in the 10-14, 15-19, and 20-24 age groups from the 2014-2019 cohort had worse glycemic control than the 2002-2007 cohort. Race/ethnicity, household income and treatment regimen predicted differences in glycemic control in 2014-2019 type 1 diabetes participants. Adjusted mean HbA1c was 8.6%±0.12% for 2014-2019 YYA with type 2 diabetes. Participants age 25+ with type 2 diabetes had worse glycemic control relative to the 2008-2013 cohort. Only treatment regimen was associated with differences in glycemic control in type 2 diabetes participants.</p> <p><b>CONCLUSIONS: </b>Despite advances in diabetes technologies, medications, and dissemination of more aggressive glycemic targets, many current YYA are less likely to achieve desired glycemic control relative to earlier cohorts.</p> <br>

scholarly journals Trends in Glycemic Control Among Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study

Diabetes Care ◽  
2022 ◽  
Author(s):  
Faisal S. Malik ◽  
Katherine A. Sauder ◽  
Scott Isom ◽  
Beth A. Reboussin ◽  
Dana Dabelea ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Age Groups ◽  
Youth And Young Adults ◽  
Race Ethnicity ◽  
Youth Study ◽  
Diabetes In Youth

OBJECTIVES To describe temporal trends and correlates of glycemic control in youth and young adults (YYA) with youth-onset diabetes. RESEARCH DESIGN AND METHODS The study included 6,369 participants with type 1 or type 2 diabetes from the SEARCH for Diabetes in Youth study. Participant visit data were categorized into time periods of 2002–2007, 2008–2013, and 2014–2019, diabetes durations of 1–4, 5–9, and ≥10 years, and age groups of 1–9, 10–14, 15–19, 20–24, and ≥25 years. Participants contributed one randomly selected data point to each duration and age group per time period. Multivariable regression models were used to test differences in hemoglobin A1c (HbA1c) over time by diabetes type. Models were adjusted for site, age, sex, race/ethnicity, household income, health insurance status, insulin regimen, and diabetes duration, overall and stratified for each diabetes duration and age group. RESULTS Adjusted mean HbA1c for the 2014–2019 cohort of YYA with type 1 diabetes was 8.8 ± 0.04%. YYA with type 1 diabetes in the 10–14-, 15–19-, and 20–24-year-old age groups from the 2014–2019 cohort had worse glycemic control than the 2002–2007 cohort. Race/ethnicity, household income, and treatment regimen predicted differences in glycemic control in participants with type 1 diabetes from the 2014–2019 cohort. Adjusted mean HbA1c was 8.6 ± 0.12% for 2014–2019 YYA with type 2 diabetes. Participants aged ≥25 years with type 2 diabetes had worse glycemic control relative to the 2008–2013 cohort. Only treatment regimen was associated with differences in glycemic control in participants with type 2 diabetes. CONCLUSIONS Despite advances in diabetes technologies, medications, and dissemination of more aggressive glycemic targets, many current YYA are less likely to achieve desired glycemic control relative to earlier cohorts.

scholarly journals Trends in Glycemic among Youth with Diabetes: The SEARCH for Diabetes in Youth Study

2022 ◽  
Author(s):  
Faisal S. Malik ◽  
Katherine A. Sauder ◽  
Scott Isom ◽  
Beth A. Reboussin ◽  
Dana Dabelea ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Household Income ◽  
Age Groups ◽  
Race Ethnicity ◽  
Youth Study ◽  
Diabetes In Youth

<b>OBJECTIVES: </b>To describe temporal trends and correlates of glycemic control in youth and young adults (YYA) with youth-onset diabetes. <p><b>RESEARCH DESIGN AND METHODS: </b>The study included 6,492 participants with type 1 or type 2 diabetes from the SEARCH for Diabetes in Youth study. Participant visit data were categorized into time periods 2002-2007, 2008-2013 and 2014-2019, diabetes durations of 1-4, 5-9, and 10+ years, and age groups 1-9, 10-14, 15-19, 20-24, 25+ years. Participants contributed one randomly selected data point to each duration and age group per time period. Multivariable regression models were used to test differences in hemoglobin A<sub>1c</sub> (HbA<sub>1c</sub>) over time by diabetes type. Models were adjusted for site, age, sex, race/ethnicity, household income, health insurance status, insulin regimen and diabetes duration, overall and stratified for each duration and age group.</p> <p><b>RESULTS: </b>Adjusted mean HbA<sub>1c</sub> for the 2014-2019 cohort of YYA with type 1 diabetes was 8.8%±0.04%. YYA with type 1 diabetes in the 10-14, 15-19, and 20-24 age groups from the 2014-2019 cohort had worse glycemic control than the 2002-2007 cohort. Race/ethnicity, household income and treatment regimen predicted differences in glycemic control in 2014-2019 type 1 diabetes participants. Adjusted mean HbA1c was 8.6%±0.12% for 2014-2019 YYA with type 2 diabetes. Participants age 25+ with type 2 diabetes had worse glycemic control relative to the 2008-2013 cohort. Only treatment regimen was associated with differences in glycemic control in type 2 diabetes participants.</p> <p><b>CONCLUSIONS: </b>Despite advances in diabetes technologies, medications, and dissemination of more aggressive glycemic targets, many current YYA are less likely to achieve desired glycemic control relative to earlier cohorts.</p> <br>

Features of the ovarian reserve of women of reproductive age suffering from autoimmune diseases

GYNECOLOGY ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 27-30
Author(s):  
Elena N. Andreeva ◽  
Olga R. Grigoryan ◽  
Yulia S. Absatarova ◽  
Irina S. Yarovaya ◽  
Robert K. Mikheev
Keyword(s):  
Type 1 Diabetes ◽  
Thyroid Gland ◽  
Autoimmune Diseases ◽  
Ovarian Reserve ◽  
Reproductive Potential ◽  
Reproductive Age ◽  
Control Group ◽  
Antithyroid Antibodies ◽  
Healthy Women

The reproductive potential of a woman depends on indicators of the ovarian reserve, such as the anti-Muller hormone (AMH) and the number of antral follicles (NAF). Autoimmune diseases have a significant effect on fertility and contribute to the development of premature ovarian failure. Aim.To evaluate the parameters of the ovarian reserve in patients with type 1 diabetes mellitus, carriers of antibodies to the thyroid gland in a state of euthyroidism and compare them with similar parameters in healthy women. Materials and methods.In the first block of the study, the level of AMH, follicle-stimulating hormone, luteinizing hormone, NAF was studied among 224 women with diabetes and 230 healthy women in the control group. In block II, the level of the above hormonal indices was studied in 35 carriers of antithyroid antibodies in the state of euthyroidism and 35 healthy women. Results.In patients with type 1 diabetes, the level of AMH, NAF was statistically significantly lower when compared with the control group. Among carriers of antithyroid antibodies and healthy women, no difference in AMH and NAF was found. Conclusion.The autoimmune processes accompanying diabetes are more influenced by the ovarian reserve indices than autoimmune aggression to the tissues of the thyroid gland.

scholarly journals Association between Physical Activity and Sport Participation on Hemoglobin A1c Among Children and Adolescents with Type 1 Diabetes

2021 ◽  
Vol 18 (14) ◽  
pp. 7490
Author(s):  
Kristi M. King ◽  
Jason R. Jaggers ◽  
Lindsay J. Della ◽  
Timothy McKay ◽  
Sara Watson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Medical Records ◽  
Hemoglobin A1c ◽  
Pediatric Patients ◽  
Sport Participation ◽  
Multiple Linear Regression Model ◽  
Significant Difference ◽  
Hba1c Levels

Purpose: To determine associations between physical activity (PA) and sport participation on HbA1c levels in children with type 1 diabetes (T1D). Method: Pediatric patients with T1D were invited to complete a PA and sport participation survey. Data were linked to their medical records for demographic characteristics, diabetes treatment and monitoring plans, and HbA1c levels. Results: Participants consisted of 71 females and 81 males, were 13 ± 3 years old with an average HbA1c level of 8.75 ± 1.81. Children accumulating 60 min of activity 3 days or more a week had significantly lower HbA1c compared to those who accumulated less than 3 days (p < 0.01) of 60 min of activity. However, there was no significant difference in HbA1c values based on sport participation groups. A multiple linear regression model indicated that PA, race, age, duration of diagnosis, and CGM use all significantly predicted HbA1c (p < 0.05). Conclusion: This study demonstrated the significant relationship between daily PA and HbA1c. Those in this sample presented with lower HbA1c values even if accumulating less than the recommended number of days of activity. Further, it was shown that sport participation alone may not be adequate enough to impact HbA1c in a similar manner.

scholarly journals Diabetes Care, Glycemic Control, Complications, and Concomitant Autoimmune Diseases in Children with Type 1 Diabetes in Turkey: A Multicenter Study

2013 ◽  
Vol 5 (1) ◽  
pp. 20-26 ◽  
Author(s):  
Gökşen Şimşek Damla ◽  
Aycan Zehra ◽  
Özen Samim ◽  
Çetinkaya Semra ◽  
Kara Cengiz ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Autoimmune Diseases ◽  
Multicenter Study ◽  
Diabetes Care

scholarly journals Prevalence and Predictors of Household Food Insecurity and Supplemental Nutrition Assistance Program Use in Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study

2021 ◽  
Author(s):  
Faisal S. Malik ◽  
Angela D. Liese ◽  
Beth A. Reboussin ◽  
Katherine A. Sauder ◽  
Edward A. Frongillo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Assistance Program ◽  
Household Food ◽  
Youth And Young Adults ◽  
Nutrition Assistance ◽  
Youth Study ◽  
Hispanic White

<a>OBJECTIVES: To assess the prevalence of household food insecurity (HFI) and Supplemental Nutrition Assistance Program (SNAP) participation in youth and young adults (YYA) with diabetes overall, by type, and sociodemographic characteristics.</a> <p>RESEARCH DESIGN AND METHODS: The study included participants with youth-onset type 1 diabetes and type 2 diabetes from the SEARCH for Diabetes in Youth study. HFI was assessed using the 18-item U.S. Household Food Security Survey Module (HFSSM) administered from 2016-2019; ³3 affirmations on the HFSSM were considered indicative of HFI. Participants were asked about SNAP participation. Chi-square tests were used to assess whether the prevalence of HFI and SNAP participation differed by diabetes type. Multivariable logistic regression models were used to examine differences in HFI by participant characteristics. </p> <p>RESULTS: Of 2561 respondents (age range 10-35 years; 79.6% ≤ 25 years), 2177 had type 1 diabetes (mean age 21.0 years, 71.8% non-Hispanic white, 11.8% non-Hispanic black, 13.3% Hispanic, 3.1% other) and 384 had type 2 diabetes (mean age 24.7 years, 18.8% non-Hispanic white, 45.8% non-Hispanic black, 23.7% Hispanic, 18.7% other). The overall prevalence of HFI was 19.7% (95% CI 18.1, 21.2). HFI was more prevalent in type 2 diabetes than type 1 diabetes (30.7% vs. 17.7%, p< 0.01). In multivariable regression models, YYA on Medicaid/Medicare or without insurance, with lower parental education, and with lower household income had greater odds of experiencing HFI. SNAP participation was 14.1% (95% CI 12.7, 15.5) with higher participation among those with type 2 diabetes compared to type 1 diabetes (34.8% vs. 10.7%; p<0.001).</p> <p>CONCLUSIONS: Almost 1 in 3 YYA with type 2 diabetes and more than 1 in 6 with type 1 diabetes reported HFI in the past year, a significantly higher prevalence than the general U.S. population. </p>

Characteristics of patients with type 1 diabetes and additional autoimmune disease in the DPV registry

2021 ◽  
Author(s):  
Nicole Prinz ◽  
Sascha R Tittel ◽  
Rainer Bachran ◽  
Robert Birnbacher ◽  
Joachim Brückel ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Autoimmune Diseases ◽  
Diabetes Duration ◽  
Insulin Dosage ◽  
Insulin Regimen ◽  
Autoimmune Thyroid ◽  
Population Type ◽  
Multivariable Regression ◽  
Multivariable Regression Models

Abstract Context Autoimmune diseases affect ~8% of the population. Type 1 diabetes mellitus (T1DM) is linked to other autoimmune diseases (AID) like autoimmune thyroid disease, or Addison’s disease (AD) that may impact diabetes therapy and outcome. Objective To analyze demographic and clinical characteristics of other AID in T1DM from a large standardized registry, the prospective diabetes follow-up (DPV). Methods We searched the registry for T1DM with the additional diagnosis of Hashimoto’s thyroiditis (HT), Graves’ disease (GD), and/or AD. T1DM with other AID (n=6,166, 5.4%) were compared to isolated T1DM (n=107,457). For group comparisons, we used multivariable regression models with age, sex, diabetes duration, migration background, and type of insulin regimen as basic adjustments (microvascular endpoints: additionally adjusted for HbA1c). Results Patients with additional AID were more often female (54.7 vs. 32.0%, p&lt;0.001) and had a longer diabetes duration (7.9 [4.2-12.5] vs. 6.7 [2.7-12.9] years, p&lt;0.001). After adjustment, daily insulin dosage was higher in AD and HT compared to isolated T1DM (0.858±0.032 and 0.813±0.005 vs. 0.793±0.001 IU/kg*d). Retinopathy was less common in HT (1.5%), whereas it was more frequent in GD (3.1%) if compared to isolated T1DM (1.8%). In both GD and HT, microalbuminuria occurred less often (10.6% and 14.3% vs. 15.5%) and neuropathy (2.1% and 1.8% vs. 0.8%) was more common compared to isolated T1DM. Conclusions T1DM with additional AID show heterogeneous differences compared to isolated T1DM. T1DM plus AD or HT requires more insulin. Further, the rate of neuropathy is higher in HD or GD, whereas the rate of microalbuminuria is lower.

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