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Browsing by Author "Tamborlane, William V."
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Item Effect of Metformin Added to Insulin on Glycemic Control Among Overweight/Obese Adolescents With Type 1 Diabetes: A Randomized Clinical Trial(AMA, 2015-12) Libman, Ingrid M.; Miller, Kellee M.; DiMeglio, Linda A.; Bethin, Kathleen E.; Katz, Michelle L.; Shah, Avni; Simmons, Jill H.; Haller, Michael J.; Raman, Sripriya; Tamborlane, William V.; Coffey, Julie K.; Saenz, Ashleigh M.; Beck, Roy W.; Nadeau, Kristen J.; Department of Pediatrics, IU School of MedicineImportance Previous studies assessing the effect of metformin on glycemic control in adolescents with type 1 diabetes have produced inconclusive results. Objective To assess the efficacy and safety of metformin as an adjunct to insulin in treating overweight adolescents with type 1 diabetes. Design, Setting, and Participants Multicenter (26 pediatric endocrinology clinics), double-blind, placebo-controlled randomized clinical trial involving 140 adolescents aged 12.1 to 19.6 years (mean [SD] 15.3 [1.7] years) with mean type 1 diabetes duration 7.0 (3.3) years, mean body mass index (BMI) 94th (4) percentile, mean total daily insulin 1.1 (0.2) U/kg, and mean HbA1c 8.8% (0.7%). Interventions Randomization to receive metformin (n = 71) (≤2000 mg/d) or placebo (n = 69). Main Outcomes and Measures Primary outcome was change in HbA1c from baseline to 26 weeks adjusted for baseline HbA1c. Secondary outcomes included change in blinded continuous glucose monitor indices, total daily insulin, BMI, waist circumference, body composition, blood pressure, and lipids. Results Between October 2013 and February 2014, 140 participants were enrolled. Baseline HbA1c was 8.8% in each group. At 13-week follow-up, reduction in HbA1c was greater with metformin (−0.2%) than placebo (0.1%; mean difference, −0.3% [95% CI, −0.6% to 0.0%]; P = .02). However, this differential effect was not sustained at 26-week follow up when mean change in HbA1c from baseline was 0.2% in each group (mean difference, 0% [95% CI, −0.3% to 0.3%]; P = .92). At 26-week follow-up, total daily insulin per kg of body weight was reduced by at least 25% from baseline among 23% (16) of participants in the metformin group vs 1% (1) of participants in the placebo group (mean difference, 21% [95% CI, 11% to 32%]; P = .003), and 24% (17) of participants in the metformin group and 7% (5) of participants in the placebo group had a reduction in BMI z score of 10% or greater from baseline to 26 weeks (mean difference, 17% [95% CI, 5% to 29%]; P = .01). Gastrointestinal adverse events were reported by more participants in the metformin group than in the placebo group (mean difference, 36% [95% CI, 19% to 51%]; P < .001). Conclusions and Relevance Among overweight adolescents with type 1 diabetes, the addition of metformin to insulin did not improve glycemic control after 6 months. Of multiple secondary end points, findings favored metformin only for insulin dose and measures of adiposity; conversely, use of metformin resulted in an increased risk for gastrointestinal adverse events. These results do not support prescribing metformin to overweight adolescents with type 1 diabetes to improve glycemic control.Item “I’m essentially his pancreas”: Parent perceptions of diabetes burden and opportunities to reduce burden in the care of children <8 years old with type 1 diabetes(Wiley, 2020-03) Commissariat, Persis V.; Harrington, Kara R.; Whitehouse, Amanda L.; Miller, Kellee M.; Hilliard, Marisa E.; Van Name, Michelle; DeSalvo, Daniel J.; Tamborlane, William V.; Anderson, Barbara J.; DiMeglio, Linda A.; Laffel, Lori M.; Medicine, School of MedicineBackground: Across all age groups, management of type 1 diabetes (T1D) places substantial responsibility and emotional burden upon families. This study explored parent perceptions of the burdens of caring for very young children with T1D. Methods: Semi-structured qualitative interviews were conducted with parents (85% mothers) of 79 children with T1D, aged 1 to <8 years old, from four diverse pediatric diabetes clinical centers. Interviews were transcribed, coded, and analyzed using hybrid thematic analysis to derive central themes. Results: Youth (77% White) had T1D for ≥6 months: age (M ± SD) 5.2 ± 1.5 years, diabetes duration 2.4 ± 1.3 years, and A1c 63 ± 10 mmol/mol (7.9 ± 0.9%); 66% used an insulin pump and 61% used CGM. Three major themes emerged related to diabetes burdens: (a) the emotional burden of diabetes on themselves and their children, (b) the burden of finding, training, and trusting effective secondary caregivers to manage the child's diabetes, and (c) suggestions for how more comprehensive, personalized diabetes education from healthcare providers for parents and secondary caregivers could help reduce parent burden and worry. Conclusions: In families with very young children with T1D, parental perceptions of the burden of managing diabetes are common and could be mitigated by tailored education programs that increase parent knowledge, bolster parents' confidence in themselves, and increase trust in their secondary caregivers to manage diabetes. Reduced parental burden and increased caregiver knowledge may positively impact child's glycemic control, as well as improve parent and child quality of life.Item Long-term Continuous Glucose Monitor Use in Very Young Children With Type 1 Diabetes: One-Year Results From the SENCE Study(Sage, 2023) Van Name, Michelle A.; Kanapka, Lauren G.; DiMeglio, Linda A.; Miller, Kellee M.; Albanese-O’Neill, Anastasia; Commissariat, Persis; Corathers, Sarah D.; Harrington, Kara R.; Hilliard, Marisa E.; Anderson, Barbara J.; Kelley, Jennifer C.; Laffel, Lori M.; MacLeish, Sarah A.; Nathan, Brandon M.; Tamborlane, William V.; Wadwa, R. Paul; Willi, Steven M.; Williams, Kristen M.; Wintergerst, Kupper A.; Woerner, Stephanie; Wong, Jenise C.; DeSalvo, Daniel J.; Pediatrics, School of MedicineObjectives: Achieving optimal glycemic outcomes in young children with type 1 diabetes (T1D) is challenging. This study examined the durability of continuous glucose monitoring (CGM) coupled with a family behavioral intervention (FBI) to improve glycemia. Study design: This one-year study included an initial 26-week randomized controlled trial of CGM with FBI (CGM+FBI) and CGM alone (Standard-CGM) compared with blood glucose monitoring (BGM), followed by a 26-week extension phase wherein the BGM Group received the CGM+FBI (BGM-Crossover) and both original CGM groups continued this technology. Results: Time in range (70-180 mg/dL) did not improve with CGM use (CGM+FBI: baseline 37%, 52 weeks 41%; Standard-CGM: baseline 41%, 52 weeks 44%; BGM-Crossover: 26 weeks 38%, 52 weeks 40%). All three groups sustained decreases in hypoglycemia (<70 mg/dL) with CGM use (CGM+FBI: baseline 3.4%, 52 weeks 2.0%; Standard-CGM: baseline 4.1%, 52 weeks 2.1%; BGM-Crossover: 26 weeks 4.5%, 52 weeks 1.7%, P-values <.001). Hemoglobin A1c was unchanged with CGM use (CGM+FBI: baseline 8.3%, 52 weeks 8.2%; Standard-CGM: baseline 8.2%, 52 weeks 8.0%; BGM-Crossover: 26 weeks 8.1%, 52 weeks 8.3%). Sensor use remained high (52-week study visit: CGM+FBI 91%, Standard-CGM 92%, BGM-Crossover 88%). Conclusion: Over 12 months young children with T1D using newer CGM technology sustained reductions in hypoglycemia and, in contrast to prior studies, persistently wore CGM. However, pervasive hyperglycemia remained unmitigated. This indicates an urgent need for further advances in diabetes technology, behavioral support, and diabetes management educational approaches to optimize glycemia in young children.Item Nighttime is the worst time: Parental fear of hypoglycemia in young children with type 1 diabetes(Wiley, 2018-02) Van Name, Michelle A.; Hilliard, Marisa E.; Boyle, Claire T.; Miller, Kellee M.; DeSalvo, Daniel J.; Anderson, Barbara J.; Laffel, Lori M.; Woerner, Stephanie E.; DiMeglio, Linda A.; Tamborlane, William V.; Pediatrics, School of MedicineBACKGROUND: Fear of hypoglycemia is common in parents of young children with type 1 diabetes (T1D), but little is known about the specific fears that parents most often experience. Hypoglycemia fear has been associated with poorer glycemic control in older children, though not yet studied in a large cohort of very young children. MATERIALS AND METHODS: Parents of 549 children <7 years (mean 5.2 ± 1.2 years [19% <3 years]) with a mean diabetes duration of 2.4 ± 1.0 years (range 1-6 years) and mean HbA1c 8.2% ± 1.1% (66 ± 12 mmol/mol) registered in the T1D Exchange completed the worry scale of the Hypoglycemia Fear Survey modified for parents (HFS-P). RESULTS: Mean parental fear of hypoglycemia worry score was 36.1 ± 23.1 (possible range 0-100), with most frequent worries related to the child having a low while asleep and the child not recognizing a low. The mean worry score was not associated with the child's age, glycemic control, or recent severe hypoglycemic event. Parental worries about lows while sleeping were significantly higher in pump users than non-users (61% vs. 45%; P < .001), and tended to be higher in CGM users than non-users (62% vs 51%; P = .02). CONCLUSIONS: The greatest worries of parents of young children with T1D were related to hypoglycemia during sleep and other times/circumstances during which it would be difficult to detect hypoglycemia. Using advanced diabetes technologies may be an effort to temper fears about hypoglycemia during sleep, though the directionality of this relationship is undetermined. Additional studies can clarify this association and leverage use of diabetes technologies to improve glycemic control.Item The obesity epidemic in 32,936 youth with type 1 diabetes (T1D) in the German/Austrian DPV and US T1D Exchange (T1DX) registries(Elsevier, 2015-09) DuBose, Stephanie N.; Hermann, Julia M.; Tamborlane, William V.; Beck, Roy W.; Dost, Axel; DiMeglio, Linda A.; Schwab, Karl Otfried; Holl, Reinhard W.; Hofer, Sabine E.; Maahs, David M.; Department of Pediatrics, IU School of MedicineObjective 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.Item Predictors of Lost to Follow-Up among Children with Type 2 Diabetes(Karger, 2017-07) Shoemaker, Ashley; Cheng, Peiyao; Gal, Robin L.; Kollman, Craig; Tamborlane, William V.; Klingensmith, Georgeanna J.; Clements, Mark A.; Hannon, Tamara S.; Heptulla, Rubina; Less, Joane; Wood, Jamie; Pediatrics, School of MedicineBackground/Aims: Youth with type 2 diabetes (T2D) have poor compliance with medical care. This study aimed to determine which demographic and clinical factors differ between youth with T2D who receive care in a pediatric diabetes center versus youth lost to follow-up for >18 months. Methods: Data were analyzed from 496 subjects in the Pediatric Diabetes Consortium registry. Enrollment variables were selected a priori and analyzed with univariable and multivariable logistic regression models. Results: After a median of 1.3 years from enrollment, 55% of patients were lost to follow-up. The final model included age, race/ethnicity, parent education, and estimated distance to study site. The odds ratio (99% confidence interval) of loss to follow-up was 2.87 (1.34, 6.16) for those aged 15 to <18 years versus those aged 10 to <13 years and 6.57 (2.67, 16.15) for those aged ≥18 years versus those aged 10 to <13 years. Among patients living more than 50 miles from the clinic, the odds ra tio of loss to follow-up was 3.11 (1.14, 8.49) versus those living within 5 miles of the site. Conclusion: Older adolescents with T2D are more likely to be lost to follow-up, but other socioeconomic factors were not significant predictors of clinic follow-up.Item Sources and Valence of Information Impacting Parents' Decisions to Use Diabetes Technologies in Young Children <8 Years Old with Type 1 Diabetes(Mary Ann Liebert, Inc., 2020-09) Commissariat, Persis V.; Whitehouse, Amanda L.; Hilliard, Marisa E.; Miller, Kellee M.; Harrington, Kara R.; Levy, Wendy; DeSalvo, Daniel J.; Van Name, Michelle A.; Anderson, Barbara J.; Tamborlane, William V.; DiMeglio, Linda A.; Laffel, Lori M.; Pediatrics, School of MedicineThere are multiple information sources available to assist families in learning about rapidly advancing diabetes technologies as care options for their children. This study explored where and from whom families of young children with type 1 diabetes get information about diabetes technologies and the valence (positive vs. negative) of that information. Semi-structured interviews were conducted with parents (86% mothers) of 79 youth <8 years old with type 1 diabetes for ≥6 months, ([mean ± standard deviation] age 5.2 ± 1.5 years, diabetes duration 2.4 ± 1.3 years, 77% white, A1c 63 ± 10 mmol/mol [7.9 ± 0.9%], 66% pump-treated, 58% using continuous glucose monitors [CGMs]). Interviews were transcribed and underwent content analysis to derive central themes. Most parents reported learning about new technologies from three direct sources: diabetes care providers, people with diabetes, and caregivers of children with diabetes. Parents also cited three indirect sources of information: online forums, publications, and diabetes-specific conferences. Parents reported hearing primarily positive things about technologies. Families not using pump and/or CGM noted reluctance to use technology due to family-specific concerns (e.g., cost, child's unwillingness to wear device) rather than information from outside sources. In this subset of parents, many still expressed willingness to initiate use once family-specific concerns were resolved. Parents of young children received largely positive information about diabetes technologies, primarily from health care providers and others familiar with using devices personally or for their children. To maximize diabetes technology use in young children, it is incumbent upon providers to ensure families receive balanced realistic information about benefits and barriers.Item State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016–2018(Liebert, 2019-02) Foster, Nicole C.; Beck, Roy W.; Miller, Kellee M.; Clements, Mark A.; Rickels, Michael R.; DiMeglio, Linda A.; Maahs, David M.; Tamborlane, William V.; Bergenstal, Richard; Smith, Elizabeth; Olson, Beth A.; Garg, Satish K.; Pediatrics, School of MedicineObjective: To provide a snapshot of the profile of adults and youth with type 1 diabetes (T1D) in the United States and assessment of longitudinal changes in T1D management and clinical outcomes in the T1D Exchange registry. Research Design and Methods: Data on diabetes management and outcomes from 22,697 registry participants (age 1–93 years) were collected between 2016 and 2018 and compared with data collected in 2010–2012 for 25,529 registry participants. Results: Mean HbA1c in 2016–2018 increased from 65 mmol/mol at the age of 5 years to 78 mmol/mol between ages 15 and 18, with a decrease to 64 mmol/mol by age 28 and 58–63 mmol/mol beyond age 30. The American Diabetes Association (ADA) HbA1c goal of <58 mmol/mol for youth was achieved by only 17% and the goal of <53 mmol/mol for adults by only 21%. Mean HbA1c levels changed little between 2010–2012 and 2016–2018, except in adolescents who had a higher mean HbA1c in 2016–2018. Insulin pump use increased from 57% in 2010–2012 to 63% in 2016–2018. Continuous glucose monitoring (CGM) increased from 7% in 2010–2012 to 30% in 2016–2018, rising >10-fold in children <12 years old. HbA1c levels were lower in CGM users than nonusers. Severe hypoglycemia was most frequent in participants ≥50 years old and diabetic ketoacidosis was most common in adolescents and young adults. Racial differences were evident in use of pumps and CGM and HbA1c levels. Conclusions: Data from the T1D Exchange registry demonstrate that only a minority of adults and youth with T1D in the United States achieve ADA goals for HbA1c.Item Status of Diabetes Care: “It Just Doesn’t Get Any Better . . . or Does It?”(2014-07) Cefalu, William T.; Tamborlane, William V.; Moses, Robert G.; Greene, Eddie L.; Bakris, George; Rosenstock, Julio; Blonde, Lawrence; Riddle, Matthew C.; Golden, Sherita Hill; Reynolds, Lyn; de Groot, MaryItem Time spent outside of target glucose range for young children with type 1 diabetes: a continuous glucose monitor study(Wiley, 2020-08) DiMeglio, Linda A.; Kanapka, Lauren G.; DeSalvo, Daniel J.; Anderson, Barbara J.; Harrington, Kara R.; Hilliard, Marisa E.; Laffel, Lori M.; Tamborlane, William V.; Van Name, Michelle A.; Wadwa, R. Paul; Willi, Steven M.; Woerner, Stephanie; Wong, Jenise C.; Miller, Kellee M.; Pediatrics, School of MedicineAim To assess the associations between demographic and clinical characteristics and sensor glucose metrics in young children with type 1 diabetes, using masked, continuous glucose monitoring data from children aged 2 to < 8 years. Research design and methods The analysis included 143 children across 14 sites in the USA, enrolled in a separate clinical trial. Eligibility criteria were: age 2 to <8 years; type 1 diabetes duration ≥3 months; no continuous glucose monitoring use for past 30 days; and HbA1c concentration 53 to <86 mmol/mol (7.0 to <10.0%). All participants wore masked continuous glucose monitors up to 14 days. Results On average, participants spent the majority (13 h) of the day in hyperglycaemia (>10.0 mmol/l) and a median of ~1 h/day in hypoglycaemia (<3.9 mmol/l). Participants with minority race/ethnicity and higher parent education levels spent more time in target range, 3.9–10.0 mmol/l, and less time in hyperglycaemia. More time in hypoglycaemia was associated with minority race/ethnicity and younger age at diagnosis. Continuous glucose monitoring metrics were similar in pump and injection users. Conclusions Given that both hypo- and hyperglycaemia negatively impact neurocognitive development, strategies to increase time in target glucose range for young children are needed.