Faculty Bibliography

Background and Aims: Evidence from clinical trials suggest that use of CGM devices decreases hypoglycemia, but no realworld studies have demonstrated efficacy of real-time CGM vs. flash CGM device use in improving CGM derived glycemic outcomes. A flash or intermittently scanning CGM (isCGM) provides glucose levels immediately upon scanning sensor; whereas real-time CGM (rtCGM) device automatically transmits a continuous stream of glucose data to the user. We examined efficacy of isCGM vs. rtCGM device use using real-world EMR data from 19 endocrinology clinics participating in the T1DX-QI Collaborative.
Method(s): Main outcomes were a) mean time in range (TIR: 70-180 mg/dL), b) time above range (TAR: >=250mg/dL) and c) time below range (TBR: <70 mg/dL). Patients >=6 years with T1D from 2018 to 2022 were included. Discriptive differences between isCGM and rtCGM groups were assessed using chisquare and Mann-Whitney U tests. Bootstrapped point estimates and 95% CIs were reported. Linear mixed models examined association between type of CGM and TIR adjusting for covariates.
Result(s): This analysis included 6234 people in the rtCGM group and 412 people in the isCGM group. In the overall study population, mean TIR was higher for rtCGM users relative to isCGM users (Mean(95% CI): 50 (49-51) vs. 40 (38-43)) [p = 0.0001], mean TBR was lower for rtCGM users relative to isCGM users (Mean (95% CI): 1.9 (1.8-2.0) vs. 2.6 (2.2-3.0)) [p = 0.001] and mean TAR was also lower for rtCGM users (Mean(95% CI): 19 (18-20) vs. 26 (23-30)) [p < 0.001].
Conclusion(s): We found improved CGM derived glycemic outcomes for rtCGM relative to the isCGM grroup

This article describes the evolution of the Type 1 Diabetes Exchange Quality Improvement Collaborative (T1DX-QI) and provides insight into the development and growth of a successful type 1 diabetes quality improvement (QI) program. Since its inception 8 years ago, the collaborative has expanded to include centers across the United States with varying levels of QI experience, while simultaneously achieving many tangible improvements in type 1 diabetes care. These successes underscore the importance of learning health systems, data-sharing, benchmarking, and peer collaboration as drivers for continuous QI. Future efforts will include recruiting additional small- to medium-sized centers focused on adult care and underserved communities to further the goal of improving care and outcomes for all people living with type 1 diabetes.

CONTEXT:COVID-19 morbidity and mortality are increased in type 1 diabetes (T1D), but few data focus on age-based outcomes. OBJECTIVE:This work aimed to quantify the risk for COVID-19-related hospitalization and adverse outcomes by age in people with T1D. METHODS:For this observational, multisite, cross-sectional study of patients with T1D and laboratory-confirmed COVID-19 from 56 clinical sites in the United States, data were collected from April 2020 to March 2021. The distribution of patient factors and outcomes across age groups (0-18, 19-40, and > 40 years) was examined. Descriptive statistics were used to describe the study population, and multivariate logistic regression models were used to analyze the relationship between age, adverse outcomes, and hospitalization. The main outcome measure was hospitalization for COVID-19. RESULTS:A total of 767 patients were analyzed. Fifty-four percent (n = 415) were aged 0 to 18 years, 32% (n = 247) were aged 19 to 40 years, and 14% (n = 105) were older than 40 years. A total of 170 patients were hospitalized, and 5 patients died. Compared to the 0- to 18-years age group, those older than 40 years had an adjusted odds ratio of 4.2 (95% CI, 2.28-7.83) for hospitalization after adjustment for sex, glycated hemoglobin A1c, race, insurance type, and comorbidities. CONCLUSION:Age older than 40 years is a risk factor for patients with T1D and COVID-19, with children and younger adults experiencing milder disease and better prognosis. This indicates a need for age-tailored treatments, immunization, and clinical management of individuals affected by T1D.

Introduction:The known markers of insulin resistance in obese children are well studied. However, they require serial measurements and complicated calculations. The objective is to study IGFBP-1 and its relation with other known risk measures. Materials and Methods:The study included 98 New York City school students of diverse ethnic/racial backgrounds (57 males and 41 females), 11-15 years of age. Subjects were enrolled in a cross-sectional study, and anthropometric measures were collected. They underwent fasting intravenous glucose tolerance tests (IVGTT), and glucose, insulin, lipids, IGFBP-1, adiponectin and inflammatory markers were collected. Results:The subjects were stratified into 3 groups based upon the BMI Z-score. Out of all the subjects, 65.3% were in the group with a BMI Z-score <1 SDS, 16.3% subjects were in the group with a BMI Z-score of 1 to 2 SDS, and 18.4% of the subjects were in the group with a BMI Z-score of more than 2 SDS. The group with a BMI Z-score of more than 2 SDS had increased waist circumference (WC), body fat, increased fasting insulin, and triglycerides (TG). This group had decreased levels of adiponectin and HDL and low IGFBP-1 as compared to the group with BMI <1 SDS. The group with a BMI Z-score of 1 to 2 SDS had a decreased level of IGFBP-1 as compared to the group with a BMI Z-score less than 1 SDS. IGFBP-1 inversely correlated with age, WC, BMI, body fat, TG, and insulin levels. IGFBP-1 positively correlated with adiponectin and HDL levels. Conclusion:IGFBP-1 in children can identify the presence of insulin resistance in the group with BMI 1 to 2 SDS, even before the known markers of insulin resistance such as elevated triglycerides and even before decreased HDL and adiponectin levels are identified.

Objective/UNASSIGNED:To determine the efficacy of a 4-month school-based health, nutrition and exercise intervention on body fatness and examine possible effects of demographic and anthropometric covariates. Methods/UNASSIGNED: = 469) received a 12-session classroom-based health and nutrition educational programme with an optional exercise intervention. Results/UNASSIGNED: = 0.005). Conclusion/UNASSIGNED:A 4-month school-based health intervention was effective in decreasing measures of adiposity in middle school students, particularly in men, participants who were obese and South Asians.

BACKGROUND/AIMS: Elevated levels of alanine aminotransferase (ALT) are associated with obesity and are often a consequence of non-alcoholic fatty liver disease (NAFLD). The aim of the present study was to assess the relationship between ALT and risk factors for adiposity-related co-morbidities in a diverse population of middle school children. METHODS: We measured height, weight, body fatness (bioelectrical impedance), waist circumference, insulin sensitivity, phase 1 insulin release (acute insulin response following intravenous glucose), beta-cell function (acute insulin response corrected for insulin sensitivity), ALT, lipid profiles, and circulating concentrations of IL-6, C-reactive protein, adiponectin, and TNF-alpha in a multi-ethnic/racial population of 106 middle school students (age 11-14 years, 45F) of varying BMI. RESULTS: ALT was significantly correlated with BMI, % body fat, fat mass, waist circumference, fasting insulin, insulin resistance, triglycerides, and was inversely correlated with HDL in children, even though all values of ALT were "normal" (range of 4.0-33.0 U/L). ALT was significantly higher in males than females even when corrected for body fatness. Significant correlations with lipids and insulin resistance persisted even when adjusted for age, gender, and body fatness. CONCLUSIONS: Even within the normative range, ALT levels were significantly correlated with anthropomorphic and biochemical risk factors for adiposity-related co-morbidities in youth. Therefore, because ALT is correlated with dyslipidemia, insulin resistance, and central fat distribution, it might also serve as a marker of risk for adiposity-related co-morbidities beyond NAFLD.

Objective: To examine whether peri-adolescent children demonstrate the significant racial/ethnic differences in body fatness relative to BMI and in the prevalence and relationship of body composition to risk factors for type 2 diabetes (T2DM) as in adults. Design and Methods: We examined family history of obesity and T2DM, anthropometry, insulin sensitivity and secretory capacity, lipids, and cytokines (IL-6, CRP, TNF-alpha, and adiponectin) in a cohort of 994 middle school students (47% male, 53%, female; 12% African American, 14% East Asian, 13% South Asian, 9% Caucasian, 44% Hispanic, and 8% other). Results: Fractional body fat content was significantly greater at any BMI among South Asians. There were racial/ethnic specific differences in lipid profiles, insulin secretory capacity, insulin sensitivity, and inflammatory markers corrected for body fatness that are similar to those seen in adults. Family history of T2DM was associated with lower insulin secretory capacity while family history of obesity was more associated with insulin resistance. Conclusion: Children show some of the same racial/ethnic differences in risk factors for adiposity-related co-morbidities as adults. BMI and waist circumference cutoffs to identify children at-risk for adiposity-related co-morbidities should be adjusted by racial/ethnic group as well as other variables such as birthweight and family history.

AIM: Advanced glycation end products (AGEs) and/or their receptors (RAGE) are significantly positively correlated with adiposity, inflammation, dyslipidemia, and insulin resistance in adults. However, the relationships between AGEs, RAGE, and adiposity-related comorbidites in children have not been well studied. METHODS: In a cross-sectional study of 88 children (age 11-15 years) from the New York area enrolled in the Reduce Obesity and Diabetes (ROAD) study, we examined the correlation of the AGE N(epsilon)-(carboxymethyl)lysine (CML), soluble RAGE (sRAGE), and endogenous secretory RAGE (esRAGE) with adiposity, inflammatory markers [interleukin-6 (IL-6), C-reactive protein, tumor necrosis factor-alpha], adiponectin, lipids, insulin sensitivity, and insulin secretory capacity. RESULTS: Pediatric CML levels were ~20% below average adult levels. CML was significantly (p < 0.05) positively correlated with age and insulin sensitivity and negatively with adiposity, dyslipidemia and IL-6. sRAGE correlated positively with esRAGE and negatively with adiposity and IL-6. Both sRAGE and esRAGE correlated negatively with insulin secretory capacity. CONCLUSION: Our findings suggest that unlike adults, CML is negatively associated with adiposity and adiposity-related comorbidity risk in children. As in adults, sRAGE and esRAGE were, to varying degrees, negatively correlated with body fatness and risk factors for adiposity-related comorbidities.