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Introduction. Parents of children living with type 1 diabetes (T1D) often report short and/or poor quality sleep. The development of closed-loop systems promises to transform the management of T1D. This study compared sleep quality and quantity in caregivers of children using a closed-loop system (CL) or sensor-augmented pump (SAP) therapy. Method. Data from sleep diaries, accelerometers, and questionnaires were provided by forty parents (classified as caregiver 1 (main analyses) or 2 (supplementary analyses) based on their contribution towards treatment management) of 21 very young children aged 1 to 7 years living with T1D (mean age: 4.7 (SD = 1.7)). Assessments were made at a single post-randomisation time point when the child was completing either the 16-week CL arm (n = 10) or the 16-week SAP arm (n = 11) of the main study. Results. Overall, there was a mixed pattern of results and group differences were not statistically significant at the p < 0.05 level. However, when we consider the direction of results and results from caregiver 1, sleep diary data showed that parents of the CL (as compared to the SAP) group reported a shorter sleep duration but better sleep quality, fewer awakenings, and less wake after sleep onset (WASO). Actiwatch data showed that caregiver 1 of the CL (as compared to the SAP) group had a shorter sleep latency; greater sleep efficiency; and less wake after sleep onset. Results from the Pittsburgh Sleep Quality Index also showed better sleep quality for caregiver 1 of the CL group as compared to the SAP group. Conclusions. Results from this study suggest that sleep quality and quantity in parents of children using CL were not significantly different to those using SAP. Considering effect sizes and the direction of the non-significant results, CL treatment could be associated with better sleep quality in the primary caregiver. However, further research is needed to confirm these findings. This trial is registered with NCT05158816. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Maintenance of glycemic control during and after exercise remains a major challenge for individuals with type 1 diabetes. Glycemic responses to exercise may differ by exercise type (aerobic, interval, or resistance), and the effect of activity type on glycemic control after exercise remains unclear. RESEARCH DESIGN AND METHODS: The Type 1 Diabetes Exercise Initiative (T1DEXI) was a real-world study of at-home exercise. Adult participants were randomly assigned to complete six structured aerobic, interval, or resistance exercise sessions over 4 weeks. Participants self-reported study and nonstudy exercise, food intake, and insulin dosing (multiple daily injection [MDI] users) using a custom smart phone application and provided pump (pump users), heart rate, and continuous glucose monitoring data. RESULTS: A total of 497 adults with type 1 diabetes (mean age ± SD 37 ± 14 years; mean HbA1c ± SD 6.6 ± 0.8% [49 ± 8.7 mmol/mol]) assigned to structured aerobic (n = 162), interval (n = 165), or resistance (n = 170) exercise were analyzed. The mean (± SD) change in glucose during assigned exercise was −18 ± 39, −14 ± 32, and −9 ± 36 mg/dL for aerobic, interval, and resistance, respectively (P < 0.001), with similar results for closed-loop, standard pump, and MDI users. Time in range 70–180 mg/dL (3.9–10.0 mmol/L) was higher during the 24 h after study exercise when compared with days without exercise (mean ± SD 76 ± 20% vs. 70 ± 23%; P < 0.001). CONCLUSIONS: Adults with type 1 diabetes experienced the largest drop in glucose level with aerobic exercise, followed by interval and resistance exercise, regardless of insulin delivery modality. Even in adults with well-controlled type 1 diabetes, days with structured exercise sessions contributed to clinically meaningful improvement in glucose time in range but may have slightly increased time below range. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the impact of CamAPS FX hybrid closed-loop (HCL) automated insulin delivery in very young children with type 1 diabetes (T1D) on caregivers' well-being, fear of hypoglycemia, and sleepiness.Research Design and Methods: We conducted a multinational, open-label, randomized crossover study. Children (age 1-7 years) with T1D received treatment for two 4-month periods in random order, comparing HCL with sensor augmented pump (control). At baseline and after each treatment period, caregivers were invited to complete World Health Organization-Five Well-Being Index, Hypoglycemia Fear Survey, and Epworth Sleepiness Scale questionnaires.Results: Caregivers of 74 children (mean ± SD age 5 ± 2 years and baseline HbA1c 7.3 ± 0.7%; 42% female) participated. Results revealed significantly lower scores for hypoglycemia fear (P < 0.001) and higher scores for well-being (P < 0.001) after HCL treatment. A trend toward a reduction in sleepiness score was observed (P = 0.09).Conclusions: Our results suggest better well-being and less hypoglycemia fear in caregivers of very young children with T1D on CamAPS FX HCL. [ABSTRACT FROM AUTHOR]

Background: Pregnant women with type 1 diabetes strive for tight glucose targets (3.5-7.8 mmol/L) to minimise the risks of obstetric and neonatal complications. Despite using diabetes technologies including continuous glucose monitoring (CGM), insulin pumps and contemporary insulin analogues, most women struggle to achieve and maintain the recommended pregnancy glucose targets. This study aims to evaluate whether the use of automated closed-loop insulin delivery improves antenatal glucose levels in pregnant women with type 1 diabetes.Methods/design: A multicentre, open label, randomized, controlled trial of pregnant women with type 1 diabetes and a HbA1c of ≥48 mmol/mol (6.5%) at pregnancy confirmation and ≤ 86 mmol/mol (10%) at randomization. Participants who provide written informed consent before 13 weeks 6 days gestation will be entered into a run-in phase to collect 96 h (24 h overnight) of CGM glucose values. Eligible participants will be randomized on a 1:1 basis to CGM (Dexcom G6) with usual insulin delivery (control) or closed-loop (intervention). The closed-loop system includes a model predictive control algorithm (CamAPS FX application), hosted on an android smartphone that communicates wirelessly with the insulin pump (Dana Diabecare RS) and CGM transmitter. Research visits and device training will be provided virtually or face-to-face in conjunction with 4-weekly antenatal clinic visits where possible. Randomization will stratify for clinic site. One hundred twenty-four participants will be recruited. This takes into account 10% attrition and 10% who experience miscarriage or pregnancy loss. Analyses will be performed according to intention to treat. The primary analysis will evaluate the change in the time spent in the target glucose range (3.5-7.8 mmol/l) between the intervention and control group from 16 weeks gestation until delivery. Secondary outcomes include overnight time in target, time above target (> 7.8 mmol/l), standard CGM metrics, HbA1c and psychosocial functioning and health economic measures. Safety outcomes include the number and severity of ketoacidosis, severe hypoglycaemia and adverse device events.Discussion: This will be the largest randomized controlled trial to evaluate the impact of closed-loop insulin delivery during type 1 diabetes pregnancy.Trial Registration: ISRCTN 56898625 Registration Date: 10 April, 2018. [ABSTRACT FROM AUTHOR]

Objective: We assessed whether Index60, a composite measure of fasting C-peptide, 60-min C-peptide, and 60-min glucose, could improve the metabolic staging of type 1 diabetes for progression to clinical disease (stage 3) among autoantibody-positive (Ab+) individuals with normal 2-h glucose values (<140 mg/dL).Research Design and Methods: We analyzed 3,058 Type 1 Diabetes TrialNet Pathway to Prevention participants with 2-h glucose <140 mg/dL and Index60 <1.00 values from baseline oral glucose tolerance tests. Characteristics associated with type 1 diabetes (younger age, greater Ab+, higher HLA DR3-DQ2/DR4-DQ8 prevalence, and lower C-peptide) were compared among four mutually exclusive groups: top 2-h glucose quartile only (HI-2HGLU), top Index60 quartile only (HI-IND60), both top quartiles (HI-BOTH), and neither top quartile (LO-BOTH). Additionally, within the 2-h glucose distribution of <140 mg/dL and separately within the Index60 <1.00 distribution, comparisons were made between those above or below the medians.Results: HI-IND60 and HI-BOTH were younger, with greater frequency of more than two Ab+, and lower C-peptide levels, than either HI-2HGLU or LO-BOTH (all P < 0.001). The cumulative incidence for stage 3 was greater for HI-IND60 and HI-BOTH than for either HI-2HGLU or LO-BOTH (all P < 0.001). Those with Index60 values above the median were younger and had higher frequency of two or more Ab+ (P < 0.001) and DR3-DQ2/DR4-DQ8 prevalence (P < 0.001) and lower area under the curve (AUC) C-peptide levels (P < 0.001) than those below. Those above the 2-h glucose median had higher AUC C-peptide levels (P < 0.001), but otherwise did not differ from those below.Conclusions: Index60 identifies individuals with characteristics of type 1 diabetes at appreciable risk for progression who would otherwise be missed by 2-h glucose staging criteria. [ABSTRACT FROM AUTHOR]

Objective: We aimed to test whether type 2 diabetes (T2D)-associated TCF7L2 genetic variants affect insulin sensitivity or secretion in autoantibody-positive relatives at risk for type 1 diabetes (T1D).Research Design and Methods: We studied autoantibody-positive TrialNet Pathway to Prevention study participants (N = 1,061) (mean age 16.3 years) with TCF7L2 single nucleotide polymorphism (SNP) information and baseline oral glucose tolerance test (OGTT) to calculate indices of insulin sensitivity and secretion. With Bonferroni correction for multiple comparisons, P values < 0.0086 were considered statistically significant.Results: None, one, and two T2D-linked TCF7L2 alleles were present in 48.1%, 43.9%, and 8.0% of the participants, respectively. Insulin sensitivity (as reflected by 1/fasting insulin [1/IF]) decreased with increasing BMI z score and was lower in Hispanics. Insulin secretion (as measured by 30-min C-peptide index) positively correlated with age and BMI z score. Oral disposition index was negatively correlated with age, BMI z score, and Hispanic ethnicity. None of the indices were associated with TCF7L2 SNPs. In multivariable analysis models with age, BMI z score, ethnicity, sex, and TCF7L2 alleles as independent variables, C-peptide index increased with age, while BMI z score was associated with higher insulin secretion (C-peptide index), lower insulin sensitivity (1/IF), and lower disposition index; there was no significant effect of TCF7L2 SNPs on any of these indices. When restricting the analyses to participants with a normal OGTT (n = 743; 70%), the results were similar.Conclusions: In nondiabetic autoantibody-positive individuals, TCF7L2 SNPs were not related to insulin sensitivity or secretion indices after accounting for BMI z score, age, sex, and ethnicity. [ABSTRACT FROM AUTHOR]

Aims/hypothesis: We aimed to compare characteristics of individuals identified in the peri-diagnostic range by Index60 (composite glucose and C-peptide measure) ≥2.00, 2 h OGTT glucose ≥11.1 mmol/l, or both. Methods: We studied autoantibody-positive participants in the Type 1 Diabetes TrialNet Pathway to Prevention study who, at their baseline OGTT, had 2 h blood glucose ≥11.1 mmol/l and/or Index60 ≥2.00 (n = 354, median age = 11.2 years, age range = 1.7–46.6; 49% male, 83% non-Hispanic White). Type 1 diabetes-relevant characteristics (e.g., age, C-peptide, autoantibodies, BMI) were compared among three mutually exclusive groups: 2 h glucose ≥11.1 mmol/l and Index60 <2.00 [Glu(+), n = 76], 2 h glucose <11.1 mmol/l and Index60 ≥2.00 [Ind(+), n = 113], or both 2 h glucose ≥11.1 mmol/l and Index60 ≥2.00 [Glu(+)/Ind(+), n = 165]. Results: Participants in Glu(+), vs those in Ind(+) or Glu(+)/Ind(+), were older (mean ages = 22.9, 11.8 and 14.7 years, respectively), had higher early (30–0 min) C-peptide response (1.0, 0.50 and 0.43 nmol/l), higher AUC C-peptide (2.33, 1.13 and 1.10 nmol/l), higher percentage of overweight/obesity (58%, 16% and 30%) (all comparisons, p < 0.0001), and a lower percentage of multiple autoantibody positivity (72%, 92% and 93%) (p < 0.001). OGTT-stimulated C-peptide and glucose patterns of Glu(+) differed appreciably from Ind(+) and Glu(+)/Ind(+). Progression to diabetes occurred in 61% (46/76) of Glu(+) and 63% (71/113) of Ind(+). Even though Index60 ≥2.00 was not a Pathway to Prevention diagnostic criterion, Ind(+) had a 4 year cumulative diabetes incidence of 95% (95% CI 86%, 98%). Conclusions/interpretation: Participants in the Ind(+) group had more typical characteristics of type 1 diabetes than participants in the Glu(+) did and were as likely to be diagnosed. However, unlike Glu(+) participants, Ind(+) participants were not identified at the baseline OGTT. [ABSTRACT FROM AUTHOR]

Aims/hypothesis: Young children who develop multiple autoantibodies (mAbs) are at very high risk for type 1 diabetes. We assessed whether a population with mAbs detected by screening is also at very high risk, and how risk varies according to age, type of autoantibodies and metabolic status. Methods: Type 1 Diabetes TrialNet Pathway to Prevention participants with mAbs (n = 1815; age, 12.35 ± 9.39 years; range, 1–49 years) were analysed. Type 1 diabetes risk was assessed according to age, autoantibody type/number (insulin autoantibodies [IAA], glutamic acid decarboxylase autoantibodies [GADA], insulinoma-associated antigen-2 autoantibodies [IA-2A] or zinc transporter 8 autoantibodies [ZnT8A]) and Index60 (composite measure of fasting C-peptide, 60 min glucose and 60 min C-peptide). Cox regression and cumulative incidence curves were utilised in this cohort study. Results: Age was inversely related to type 1 diabetes risk in those with mAbs (HR 0.97 [95% CI 0.96, 0.99]). Among participants with 2 autoantibodies, those with GADA had less risk (HR 0.35 [95% CI 0.22, 0.57]) and those with IA-2A had higher risk (HR 2.82 [95% CI 1.76, 4.51]) of type 1 diabetes. Those with IAA and GADA had only a 17% 5 year risk of type 1 diabetes. The risk was significantly lower for those with Index60 <1.0 (HR 0.23 [95% CI 0.19, 0.30]) vs those with Index60 values ≥1.0. Among the 12% (225/1815) ≥12.0 years of age with GADA positivity, IA-2A negativity and Index60 <1.0, the 5 year risk of type 1 diabetes was 8%. Conclusions/interpretation: Type 1 diabetes risk varies substantially according to age, autoantibody type and metabolic status in individuals screened for mAbs. An appreciable proportion of older children and adults with mAbs appear to have a low risk of progressing to type 1 diabetes at 5 years. With this knowledge, clinical trials of type 1 diabetes prevention can better target those most likely to progress. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic and rapid expansion of telemedicine has increased the need for accurate and reliable capillary A1c testing. Nevertheless, validation studies of commercially available kits have been in short supply. As such, capillary and venous A1c samples were assessed using 3 commercial home kits (Home Access, CoreMedica, A1cNow) and 2 non-commercial kits from academic centers (U of MN Advanced Research and Diagnostic Lab [ARDL] and Children's Mercy Hospital [CMH]). Samples were collected either with study staff guidance (non-commercial) or hands-on assistance (commercial) and sent by USPS for processing except for the immediate response A1cNow+ kit. Differences in A1c between commercial kits and reference values were appreciable (Table). Notably, none of the commercially tested kits reached the National Glycohemoglobin Standardization Program target of more than 90% of values within 5% of DCCT venous reference values although the Home Access kit performed much better than the other two. In contrast, evaluation of kits from ARDL and CMH showed 97.4% of values within the 5% standard. Ease of use and discomfort with sample collection varied between kits. While the accuracy of the commercial kits analyzed was limited, participants' response was positive overall. Telemedicine is likely to persist as a mainstay of diabetes care well after the COVID-19 era. As such, accurate home A1c testing represents an urgent need for the diabetes community. Disclosure: L. M. Jacobsen: None. L. E. Bocchino: Other Relationship; Self; Leona M. and Harry B. Helmsley Charitable Trust, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health. J. Adams: None. J. W. Lum: None. M. J. Haller: Board Member; Self; SAB Biotherapeutics, Inc., Consultant; Self; MannKind Corporation, Other Relationship; Self; Janssen Pharmaceuticals, Inc., Sanofi. R. Beck: Consultant; Self; Bigfoot Biomedical, Inc., Diasome Pharmaceuticals, Inc., Insulet Corporation, Lilly Diabetes, vTv Therapeutics, Research Support; Self; Beta Bionics, Inc., Dexcom, Inc., Medtronic, Novo Nordisk, Tandem Diabetes Care. [ABSTRACT FROM AUTHOR]

In individuals with new onset T1D, T2D-associated TCF7L2 genetic variants are associated with lower area-under-the curve (AUC) glucose and higher AUC C-peptide responses to a mixed meal. We aimed to test whether TCF7L2 variants affect glucose metabolism in nondiabetic islet autoantibody-positive (AbPos) individuals. We studied 1065 TrialNet Pathway to Prevention Study participants (AbPos relatives of persons with T1D) with TCF7L2 SNPs who underwent oral glucose tolerance tests (OGTT) (mean age 16.3 yrs, 63% <18 years old, 91.1% non-Hispanic, 47.7% male; T2D-associated TCF7L2 SNP: 48.1% 0 alleles, 43.9% 1 allele, 8% 2 alleles). We assessed the contribution of TCF7L2 SNP variants on Fasting (FIIS) and OGTT Index of Insulin Sensitivity (OIIS), Insulin Secretion (OIISec), and Disposition Index (ODI) with univariate and multivariate analyses. Then we studied the interaction between TCF7L2 SNP and BMI. With Bonferroni correction for multiple comparisons, p-values <0.0086 were considered statistically significant. Insulin sensitivity and secretion indices were significantly associated with age (FIIS, OIIS, OIISec), BMI Z-score (FIIS, OIIS, OIISec, ODI) and Hispanic ethnicity (FIIS, OIIS) but not sex in univariate analyses. TCF7L2 SNP was not significantly associated with these indices in univariate or multivariate analyses adjusting for BMI, age, sex and race-ethnicity. There was a significant interaction between BMI and presence of 2 (vs. 0) TCF7L2 SNP alleles on insulin sensitivity (OIIS) in children (p=0.0079) but not adults (p=0.94). After adjusting for age, ethnicity and sex, the difference did not reach statistical significance (p=0.0135). Restricting to non-obese participants, the results were similar. In sum, in nondiabetic AbPos individuals, the TCF7L2 variant does not appear to impact insulin sensitivity or secretion indices after accounting for BMI, age, sex and race-ethnicity. Disclosure: M.J. Redondo: None. M.V. Warnock: None. L.E. Bocchino: None. S. Geyer: None. A. Pugliese: None. A. Steck: None. I. Libman: Consultant; Self; Novo Nordisk A/S. C. Evans-Molina: Consultant; Self; Bristol-Myers Squibb. D.J. Becker: None. J. Sosenko: None. F. Bacha: Research Support; Self; AstraZeneca, Takeda Development Center Americas, Inc. Funding: National Institute of Diabetes and Digestive and Kidney Diseases [ABSTRACT FROM AUTHOR]

We assessed whether Index60 could identify subpopulations with heterogeneous T1D features among autoantibody positive (Ab+) individuals with a normal 2-hour glucose. Index60 is a composite measure of fasting C-peptide, 60-minute C-peptide, and 60-minute glucose that has potential utility as a prediabetes endpoint when values are ≥1.00. Baseline 2-hour OGTTs of Ab+ TrialNet Pathway to Prevention participants in the normal 2-hour glucose (<140 mg/dl) range and low Index60 range (<1.00) were studied. The top 2-hour glucose <140 mg/dl quartile was compared with the top Index60 <1.00 quartile for characteristic T1D features (groups mutually exclusive). Those in the top Index60 quartile (Group B) or in both top quartiles (Group C) had profiles more typical of T1D than those in the top 2-hour glucose quartile (Group A), who had higher C-peptide levels, lower Ab+ frequencies, and were older (Table). Also, as indicated by within group odds ratios, Group A had less association of DR3-DQ2/DR4-DQ8 with the top quartile (Group A: 1.19, ns; Group B: 1.49, p<0.01; Group C: 1.63, p<0.01). In summary, Index60 can detect heterogeneity among those with normal 2-hour glucose levels, and identify subpopulations with appreciably more characteristic T1D features. The atypia of Group A demonstrates the importance of this Index60 utility. Disclosure: B.M. Nathan: None. S. Geyer: None. L.E. Bocchino: None. J.P. Palmer: None. L.M. Jacobsen: None. M.J. Redondo: None. E.K. Sims: None. J.S. Skyler: Advisory Panel; Self; ADOCIA, Applied Therapeutics, Dance Biopharm Holdings Inc., Orgenesis Ltd., Tolerion, Inc., Viacyte, Inc. Board Member; Self; Dexcom, Inc., Intarcia Therapeutics, Inc., Moerae Matrix, Inc. Consultant; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Dalcor, Dialogics, Elcelyx Therapeutics, Inc., Esperion, GeNeuro Innovation, Ideal Life, Immunomolecular Therapeutics, Intrexon, Kamada, Nestlé, Sanofi, Valeritas, Inc., Zafgen, Inc. Stock/Shareholder; Self; Dexcom, Inc., Ideal Life, Intarcia Therapeutics, Inc., Intrexon, Moerae Matrix, Inc. J.M. Sosenko: None. Funding: National Institutes of Health; JDRF [ABSTRACT FROM AUTHOR]

People with type 1 diabetes (T1D) are at increased risk for comorbid autoimmune disease (CAID). The TrialNet Pathway to Prevention (PTP) Study screens relatives of people with T1D for islet autoantibodies (Ab) to determine T1D risk. PTP Ab+ participants self-reported (Y vs. N) whether or not they had CAIDs at the start of monitoring. Outside of celiac disease, CAID has not been examined in Ab+ participants. Of the 5,740 Ab+ participants, 586 (10.2%; 95% CI: 9.4 - 11.0%) reported having a CAID. Of those with a single confirmed Ab+, GADA+ participants had a higher prevalence of CAID (230/1709=13.5%) vs. those who were IA-2A+ (8/88=9.1%) or mIAA+ (40/592=6.8%; p<0.0001). Across all Ab+ participants, the number of Abs was inversely associated with prevalence of CAID at baseline, where a higher number of Abs corresponded to a lower likelihood of CAID (1 Ab+: 278/2393=11.6%; 2 Ab+: 165/1388=11.9%; 3 Ab+: 73/891=8.2%; 4 Ab+: 44/687=6.4%; 5 Ab+: 26/381=6.8%; p<0.0001). The most prevalent CAID reported was thyroid disease (5.7%) with celiac disease reported in 1.3%. The influence of HLA status on CAID prevalence was mixed; celiac disease was more prevalent in those with DR3 (OR=2.79, p<0.0001) while thyroid disease was less prevalent in those with DR4/DQ8 (OR=0.61, p<0.0001). Although being single confirmed Ab+ at screening was associated with a higher likelihood of having CAID in the univariate setting, it was significantly protective (OR=0.77; p=0.007) when adjusting for age, sex and HLA status. In multivariable logistic regression models, the prevalence of CAID at baseline was associated with older age, being female and HLA DR4/DQ8 negative. In conclusion, the reported prevalence rates of CAID is high in Ab+ relatives of people with T1D, inversely correlated with the number of Ab present, and related to DR3 and DR4/DQ8 haplotypes. The change in the direction of association of CAID with Ab number after an adjustment for HLA status suggests that DR3 and DR4/DQ8 could contribute to both CAID and Ab development. Disclosure: K. Simmons: None. S. Geyer: None. D.K. Wherrett: None. H.M. Ismail: None. M. Lundgren: None. L.E. Bocchino: None. J.M. Sosenko: None. C. Greenbaum: Research Support; Self; Janssen Research & Development. A. Steck: None. Funding: National Institute of Diabetes and Digestive and Kidney Diseases (5U01DK0855095, K12DK094712-08) [ABSTRACT FROM AUTHOR]

Since T1D is increasingly recognized as a heterogeneous disorder, we sought to determine whether different diagnostic criteria could identify individuals with a distinct profile of markers typical for T1D. We studied autoantibody positive (Ab+) TrialNet Pathway to Prevention participants. Markers that typically cluster in individuals diagnosed with T1D were compared between groups defined by oral glucose tolerance test (OGTT) 2-hour glucose ≥200 mg/dl (2hrglu≥200), which is an ADA standard diagnostic criterion, and Index60≥2.00 (Ind60≥2.00; based on fasting C-peptide [C-pep] and OGTT 60-minute C-pep and 60-minute glucose), which has previously shown potential utility as a diagnostic criterion for T1D. Three groups were compared: (A) 2hrglu≥200 Only (Ind60 <2.00), (B) Ind60≥2.00 Only (2hrglu <200), and (C) Both Ind60≥200 and 2hrglu≥2.00. Participants in the Ind60≥2.00-Only or Ind60≥2.00 and 2hrglu≥200 groups were younger, had lower 30-0 minute C-pep and AUC C-pep, and had higher percentages of mIAA and multiple Ab+ compared with those in the 2-hrglu≥200 Only group (Table). In sum, individuals with Ind60≥2.00 had more characteristic T1D features than those with 2-hrglu≥200 but Ind60 <2.00, who were atypical. It thus appears that the use of T1D-specific diagnostic measures, such as Ind60≥2.00, may help identify more homogeneous groups of individuals with T1D. Disclosure: M.J. Redondo: None. B.M. Nathan: None. L.E. Bocchino: None. S. Geyer: None. L.M. Jacobsen: None. E.K. Sims: None. A. Pugliese: None. J.S. Skyler: Advisory Panel; Self; ADOCIA, Applied Therapeutics, Dance Biopharm Holdings Inc., Orgenesis Ltd., Tolerion, Inc., Viacyte, Inc. Board Member; Self; Dexcom, Inc., Intarcia Therapeutics, Inc., Moerae Matrix, Inc. Consultant; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Dalcor, Dialogics, Elcelyx Therapeutics, Inc., Esperion, GeNeuro Innovation, Ideal Life, Immunomolecular Therapeutics, Intrexon, Kamada, Nestlé, Sanofi, Valeritas, Inc., Zafgen, Inc. Stock/Shareholder; Self; Dexcom, Inc., Ideal Life, Intarcia Therapeutics, Inc., Intrexon, Moerae Matrix, Inc. J.P. Palmer: None. J. Sosenko: None. Funding: National Institutes of Health [ABSTRACT FROM AUTHOR]