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  • 1
    In: Diabetes, American Diabetes Association, Vol. 68, No. Supplement_1 ( 2019-06-01)
    Abstract: Newer metrics like TIR are gaining momentum for measurement of glycemic control. The Medtronic 670G is the first commercial hybrid closed-loop (HCL) system for the management of T1D. We conducted a single-center retrospective chart review to compare continuous glucose monitor (CGM) metrics before and after initiation of 670G system in patients with T1D. Of 408 adult T1D patients who initiated 670G system during the study period, 139 patients were using an insulin pump with CGM for at least 3 months before the initiation of 670G system and had 6 months follow-up. Mean baseline age was 41±12, (60% women) with HbA1c of 7.6±0.9%. We analyzed the change in CGM data: % TIR (70-180 mg/dl), time-below-range ( & lt;70 mg/dl) and time-above-ranges ( & gt;180 mg/dl and & gt;250 mg/dl) at 3 and 6 months of 670G system use. Use of 670G system significantly increased TIR (p & lt;0.0001) and decreased time-below-range (p & lt;0.0001) and time-above-range (p & lt;0.0001) at 3 and 6 months compared to baseline (Figure). The mean percent time in auto-mode was 71% and 73% at 3 months and 6 months respectively. We conclude that HCL use in real-life significantly improves TIR and decreases hypo- and hyperglycemia. Disclosure H.K. Akturk: Advisory Panel; Self; Sanofi. Research Support; Self; Eli Lilly and Company, MannKind Corporation, REMD Biotherapeutics. Speaker's Bureau; Self; MannKind Corporation. D.A. Giordano: None. H. Joseph: None. S.K. Garg: Advisory Panel; Self; Eli Lilly and Company, Roche Pharma, Sanofi-Aventis, Zealand Pharma A/S. Research Support; Self; Eli Lilly and Company, WebMD. J.K. Snell-Bergeon: None.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
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  • 2
    In: Diabetes, American Diabetes Association, Vol. 67, No. Supplement_1 ( 2018-07-01)
    Abstract: Post-prandial hyperglycemia is difficult to control due to lack of an ideal prandial insulin. TI (Afrezza®) has the most rapid onset of action, lasts for 2 hours. Sixty patients with T1D on multiple daily injections (MDI) were randomized in a multi-center study, stratified by baseline A1c values ( & lt;8.5% or ≥ 8.5%) to the control group using aspart (n=34) vs. TI group (n=26). The TI arm was advised to take extra inhalations at 1 and 2 hours after meals based on PPBG. Baseline characteristics were similar (Figure 1a). Forced Expiratory Volume did not differ at all times. We used intent-to-treat analysis, and examined outcomes over a 4-week period using linear regression with repeated measures. Mean CGM glucose, SD, time in range (70-180 mg/dL), % time in hyper- ( & gt;180 mg/dL) or hypoglycemia ( & lt;70, & lt;60, or & lt;50 mg/dL) were similar in both groups. PPBG at 1 hour was lower in the TI group (mean ± SE PPBG difference -31.7±6.6 mg/dL, p & lt;0.0001). PPBG was numerically lower at 2 hours (mean ± SE PPBG -13.0±7.1 mg/dL, p=0.07) with no difference at 3 and 4 hours (Figure 1b). The TI group increased bolus insulin dose (mean ± SD of 47.8 ± 23.9 U/day) compared to the control group (23.0 ± 9.8 U/day; p & lt;0.0001) in week 1. Bolus insulin dose in the TI group was higher (28.2 U/day; p & lt;0.0001), and did not differ by study week (p=0.25). We conclude that TI improves PPBG when treat-to-target algorithms are used in patients with T1D on MDI. Disclosure H.K. Akturk: None. J.K. Snell-Bergeon: Stock/Shareholder; Self; Abbott. Research Support; Self; Roche Diagnostics Corporation. A. Rewers: None. L.J. Klaff: Research Support; Self; Abbott, Intarcia Therapeutics, Inc., MannKind Corporation, Dexcom, Inc., Novartis Pharmaceuticals Corporation, Gelesis, Novo Nordisk Inc., Eli Lilly and Company, Medtronic, Sanofi. A. Peters: Advisory Panel; Self; Abbott, Bigfoot Biomedical. Research Support; Self; Dexcom, Inc.. Advisory Panel; Self; Eli Lilly and Company, Insulin Algorithms, JDRF, Lexicon Pharmaceuticals, Inc., Livongo Health. Research Support; Self; MannKind Corporation. Other Relationship; Self; Medscape. Advisory Panel; Self; Merck & Co., Inc.. Research Support; Self; National Institute of Diabetes and Digestive and Kidney Diseases. Speaker's Bureau; Self; Novo Nordisk Inc.. Advisory Panel; Self; Novo Nordisk Inc., Omada Health, Inc., Optum Rx, Inc., Sanofi. Research Support; Self; T1D Exchange. Advisory Panel; Self; The Endocrine Society. Research Support; Self; The Leona M. and Harry B. Helmsley Charitable Trust. Advisory Panel; Spouse/Partner; Johnson & Johnson Diabetes Institute, LLC. B.W. Bode: Research Support; Self; Abbott. Advisory Panel; Self; ADOCIA. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Consultant; Self; Janssen Pharmaceuticals, Inc.. Research Support; Self; GlaxoSmithKline plc., Lexicon Pharmaceuticals, Inc., Medtronic MiniMed, Inc., Novo Nordisk Inc., Diasome Pharmaceuticals, Inc., Sanofi US, Eli Lilly and Company, MannKind Corporation, Dexcom, Inc., OmniPod, Senseonics. T.S. Bailey: Research Support; Self; Abbott. Consultant; Self; Abbott. Speaker's Bureau; Self; Abbott. Research Support; Self; Ambra BioScience, Ascensia Diabetes Care, Becton, Dickinson and Company. Consultant; Self; Becton, Dickinson and Company. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Calibra Medical. Consultant; Self; Calibra Medical. Research Support; Self; Companion Medical, Dexcom, Inc., Glooko, Inc., GlySens Incorporated, Lexicon Pharmaceuticals, Inc., Eli Lilly and Company. Consultant; Self; Eli Lilly and Company. Speaker's Bureau; Self; Eli Lilly and Company. Research Support; Self; Medtronic MiniMed, Inc.. Consultant; Self; Medtronic MiniMed, Inc.. Speaker's Bureau; Self; Medtronic MiniMed, Inc.. Research Support; Self; Novo Nordisk Inc.. Consultant; Self; Novo Nordisk Inc.. Speaker's Bureau; Self; Novo Nordisk Inc.. Research Support; Self; Sanofi. Consultant; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Research Support; Self; Senseonics. Consultant; Self; Intarcia Therapeutics, Inc.. Research Support; Self; Versartis, Inc., Xeris Pharmaceuticals, Inc., MannKind Corporation. S.K. Garg: Research Support; Self; Dexcom, Inc., Eli Lilly and Company, Sanofi US. Advisory Panel; Self; Sanofi US. Research Support; Self; MannKind Corporation, Diasome Pharmaceuticals, Inc., Labstyle Innovations, Lexicon Pharmaceuticals, Inc., Medtronic. Advisory Panel; Self; Novo Nordisk A/S.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
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  • 3
    Online Resource
    Online Resource
    American Diabetes Association ; 2019
    In:  Diabetes Vol. 68, No. Supplement_1 ( 2019-06-01)
    In: Diabetes, American Diabetes Association, Vol. 68, No. Supplement_1 ( 2019-06-01)
    Abstract: Optimal glycemic control with minimal hypo- and hyperglycemia in type 1 diabetes (T1D) is difficult to achieve. New technologies such as hybrid closed loop (HCL-670G) system could help to improve glycemic control and prevent complications. We report a single-center 6-month experience regarding changes in metrics for glycemic control in adult patients with T1D on the Medtronic® 670G system. There were 139 patients (mean±SD age 41±12 years, 60% women) with T1D who were on a pump and CGM for at least 3 months prior to initiating 670G system, and who had at least six months of follow-up on 670G. We analyzed the changes in HbA1c, daily insulin dose, and BMI from baseline (just prior to initiating 670G system) at 3 and 6-months of 670G use. The mean percent time in auto-mode was 71% at 3 months and 73% at 6 months, with a range of 0-99% at both time points. Use of the 670G system significantly improved HbA1c with no change in BMI (Table). Percent time in auto-mode was significantly correlated to HbA1c at 3 (r=-0.26, p=0.009) and 6 months (r=-0.32, p=0.002). Daily bolus and total insulin dose increased at 3 months but were not significantly higher than pre-670G after 6 months of 670G use. We conclude that HCL use in real-life improves glucose control without increasing body weight or insulin dose. Disclosure D.A. Giordano: None. J.K. Snell-Bergeon: None. H. Joseph: None. S.K. Garg: Advisory Panel; Self; Eli Lilly and Company, Roche Pharma, Sanofi-Aventis, Zealand Pharma A/S. Research Support; Self; Eli Lilly and Company, WebMD. H.K. Akturk: Advisory Panel; Self; Sanofi. Research Support; Self; Eli Lilly and Company, MannKind Corporation, REMD Biotherapeutics. Speaker's Bureau; Self; MannKind Corporation.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
    detail.hit.zdb_id: 1501252-9
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  • 4
    In: Diabetes, American Diabetes Association, Vol. 67, No. Supplement_1 ( 2018-07-01)
    Abstract: Sixty patients with T1D on multiple daily injections (MDI) were randomized in a multi-center study, stratified by A1c values ( & lt;8.5% or ≥ 8.5%) to the control arm using aspart (n=34) vs. TI group (n=26). Patients in the TI arm were advised to take extra inhalations at 1 and 2 hours after meals based on post-prandial blood glucose (PPBG) values. Baseline characteristics and FEV1 were similar. Using per protocol (PPT) analysis, we examined outcomes over the 4-week period using linear regression with repeated measures. The primary outcomes were TIR (70-180 mg/dL) and PPBG excursions. Compliance with TI was based on its use when indicated at 1- and 2-hour PPBG. Patients with at least 80% compliance were included in PPT (n=15). Seven TI patients were non-compliant; 2 dropped out of the study; and 2 did not have CGM data. CGM glucose patterns and TIR for a patient with 100% or with 56% compliant with TI are shown (Figure 1a and 1b). TIR was significantly higher in the TI-compliant group compared to control or TI-non-compliant groups (Figure 1c). PPBG was also significantly lower in the TI-compliant compared to the control group at 1- and 2-hours post-prandial but not at 3 and 4 hours. PPBG was significantly lower in the compliant vs. non-compliant TI group at all time points (Figure 1d). We conclude that TI improves TIR and PPBG values, if patients use additional inhalations as directed. Disclosure J.K. Snell-Bergeon: Stock/Shareholder; Self; Abbott. Research Support; Self; Roche Diagnostics Corporation. H.K. Akturk: None. A. Rewers: None. B.W. Bode: Research Support; Self; Abbott. Advisory Panel; Self; ADOCIA. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Consultant; Self; Janssen Pharmaceuticals, Inc.. Research Support; Self; GlaxoSmithKline plc., Lexicon Pharmaceuticals, Inc., Medtronic MiniMed, Inc., Novo Nordisk Inc., Diasome Pharmaceuticals, Inc., Sanofi US, Eli Lilly and Company, MannKind Corporation, Dexcom, Inc., OmniPod, Senseonics. L.J. Klaff: Research Support; Self; Abbott, Intarcia Therapeutics, Inc., MannKind Corporation, Dexcom, Inc., Novartis Pharmaceuticals Corporation, Gelesis, Novo Nordisk Inc., Eli Lilly and Company, Medtronic, Sanofi. A. Peters: Advisory Panel; Self; Abbott, Bigfoot Biomedical. Research Support; Self; Dexcom, Inc.. Advisory Panel; Self; Eli Lilly and Company, Insulin Algorithms, JDRF, Lexicon Pharmaceuticals, Inc., Livongo Health. Research Support; Self; MannKind Corporation. Other Relationship; Self; Medscape. Advisory Panel; Self; Merck & Co., Inc.. Research Support; Self; National Institute of Diabetes and Digestive and Kidney Diseases. Speaker's Bureau; Self; Novo Nordisk Inc.. Advisory Panel; Self; Novo Nordisk Inc., Omada Health, Inc., Optum Rx, Inc., Sanofi. Research Support; Self; T1D Exchange. Advisory Panel; Self; The Endocrine Society. Research Support; Self; The Leona M. and Harry B. Helmsley Charitable Trust. Advisory Panel; Spouse/Partner; Johnson & Johnson Diabetes Institute, LLC. T.S. Bailey: Research Support; Self; Abbott. Consultant; Self; Abbott. Speaker's Bureau; Self; Abbott. Research Support; Self; Ambra BioScience, Ascensia Diabetes Care, Becton, Dickinson and Company. Consultant; Self; Becton, Dickinson and Company. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Calibra Medical. Consultant; Self; Calibra Medical. Research Support; Self; Companion Medical, Dexcom, Inc., Glooko, Inc., GlySens Incorporated, Lexicon Pharmaceuticals, Inc., Eli Lilly and Company. Consultant; Self; Eli Lilly and Company. Speaker's Bureau; Self; Eli Lilly and Company. Research Support; Self; Medtronic MiniMed, Inc.. Consultant; Self; Medtronic MiniMed, Inc.. Speaker's Bureau; Self; Medtronic MiniMed, Inc.. Research Support; Self; Novo Nordisk Inc.. Consultant; Self; Novo Nordisk Inc.. Speaker's Bureau; Self; Novo Nordisk Inc.. Research Support; Self; Sanofi. Consultant; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Research Support; Self; Senseonics. Consultant; Self; Intarcia Therapeutics, Inc.. Research Support; Self; Versartis, Inc., Xeris Pharmaceuticals, Inc., MannKind Corporation. S.K. Garg: Research Support; Self; Dexcom, Inc., Eli Lilly and Company, Sanofi US. Advisory Panel; Self; Sanofi US. Research Support; Self; MannKind Corporation, Diasome Pharmaceuticals, Inc., Labstyle Innovations, Lexicon Pharmaceuticals, Inc., Medtronic. Advisory Panel; Self; Novo Nordisk A/S.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
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  • 5
    In: Diabetes Therapy, Springer Science and Business Media LLC, Vol. 8, No. 4 ( 2017-8), p. 811-819
    Type of Medium: Online Resource
    ISSN: 1869-6953 , 1869-6961
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2017
    detail.hit.zdb_id: 2566702-6
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  • 6
    In: Pediatric Diabetes, Hindawi Limited, Vol. 16, No. 1 ( 2015-02), p. 22-30
    Type of Medium: Online Resource
    ISSN: 1399-543X
    URL: Issue
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2025536-6
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  • 7
    In: Endocrine Practice, Elsevier BV, Vol. 19, No. 1 ( 2013-01), p. 19-28
    Type of Medium: Online Resource
    ISSN: 1530-891X
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2013
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  • 8
    In: Diabetes, Obesity and Metabolism, Wiley, Vol. 21, No. 3 ( 2019-03), p. 575-583
    Abstract: Our aim was to define the relationships between plasma biomarkers of kidney injury and intrarenal haemodynamic function (glomerular filtration rate [GFR], effective renal plasma flow [ERPF] , renal vascular resistance [RVR]) in adults with type 1 diabetes (T1D). Methods The study sample comprised patients with longstanding T1D (duration ≥50 years), among whom 44 were diabetic kidney disease (DKD) resistors (eGFR 〉 60 mL/min/1.73 m 2 and 〈 30 mg/d urine albumin excretion) and 22 had DKD, in addition to 73 control participants. GFR INULIN and ERPF PAH were measured, RVR was calculated, and afferent (R A )/efferent (R E ) areteriolar resistances were derived from Gomez equations. Plasma neutrophil gelatinase‐associated lipocalin (NGAL), β2 microglobulin (B2M), osteopontin (OPN) and uromodulin (UMOD) were measured using immunoassay kits from Meso Scale Discovery. Results Plasma NGAL, B2M and OPN were higher and UMOD was lower in DKD patients vs DKD resistors and non‐diabetic controls. In participants with T1D, plasma NGAL inversely correlated with GFR (r = −0.33; P = 0.006) and ERPF (r = −0.34; P = 0.006), and correlated positively with R A (r = 0.26; P = 0.03) and RVR (r = 0.31; P = 0.01). In participants without T1D, NGAL and B2M inversely correlated with GFR (NGAL r = −0.18; P = 0.13 and B2M r = −0.49; P 〈 0.0001) and with ERPF (NGAL r = −0.19; P = 0.1 and B2M r = −0.42; P = 0.0003), and correlated positively with R A (NGAL r = 0.19; P = 0.10 and B2M r = 0.3; P = 0.01) and with RVR (NGAL r = 0.20; P = 0.09 and B2M r = 0.34; P = 0.003). Differences were significant after adjusting for age, sex, HbA1c, SBP and LDL. There were statistical interactions between T1D status, B2M and intrarenal haemodynamic function ( P 〈 0.05). Conclusions Elevated NGAL relates to intrarenal haemodynamic dysfunction in T1D, whereas elevated NGAL and B2M relate to intrarenal haemodynamic dysfunction in adults without T1D. These data may define a diabetes‐specific interplay between tubular injury and intrarenal haemodynamic dysfunction.
    Type of Medium: Online Resource
    ISSN: 1462-8902 , 1463-1326
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2004918-3
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  • 9
    Online Resource
    Online Resource
    American Diabetes Association ; 2023
    In:  Diabetes Vol. 72, No. Supplement_1 ( 2023-06-20)
    In: Diabetes, American Diabetes Association, Vol. 72, No. Supplement_1 ( 2023-06-20)
    Abstract: Diabetic kidney disease (DKD) is a major complication of type 1 diabetes (T1D). We investigated whether metabolomic, lipidomic and proteomic plasma markers were associated with albuminuria in the Coronary Artery Calcification in Type 1 Diabetes cohort. Two timed overnight urine collections were performed, and albumin excretion rates (AER) were averaged. If overnight samples were unable to be obtained, a spot urine sample was collected and albumin/creatinine ratio (ACR) was used to determine albuminuria status. Albuminuria was defined as an AER ≥ 20 ug/min or an ACR ≥ 30mg/g. Plasma samples from the baseline examination were assayed by LC-MS for multiple omics markers in 225 participants with T1D. Moderated t-tests using false discovery rate (FDR) adjustment for multiple comparisons were used to examine the markers associated with albuminuria presence. An FDR adjusted p-value & lt;0.05 was considered to be statistically significant. Average ± SD for age was 36 ± 9 years and for diabetes duration was 23 ± 9 years, and 58% [n = 120] were female. The prevalence of albuminuria at baseline was 20.4% (n = 46). There were 15 metabolite markers (3 metabolites of symmetric dimethylarginine, 2 of glycyl-glycine, and one each of aspartyl-glycine, glycyl-aspartate and 1-methylhistidine, 7 uncertain) with higher expression in participants with DKD than in those without DKD. There were 7 lipid markers in the acylcarnitine family that were elevated in participants with DKD compared to those without DKD, and 19 glycated peptides (16 in fibrinogen, 1 in kininogen and 1 in hemopexin) showed higher expression in participants with DKD than in those without DKD. None of the unmodified proteins differed by DKD status. Multiple omics markers were higher in T1D participants with albuminuria than in people without any sign of DKD. These findings may suggest changes in lipids, metabolites and glycated proteins early in the course of DKD, and these markers should be explored as potential predictors of worsening DKD. Disclosure J.K.Snell-bergeon: None. R.K.Johnson: None. L.Pyle: None. G.Chen: None. M.M.Weldemariam: None. Q.Zhang: None.
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2023
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  • 10
    Online Resource
    Online Resource
    American Diabetes Association ; 2023
    In:  Diabetes Care Vol. 46, No. 9 ( 2023-09-01), p. 1646-1651
    In: Diabetes Care, American Diabetes Association, Vol. 46, No. 9 ( 2023-09-01), p. 1646-1651
    Abstract: To evaluate change in mean clinic HbA1c from 2014 to 2021 with diabetes technology use in adults with type 1 diabetes. RESEARCH DESIGN AND METHODS In this single-center study, we analyzed diabetes technology use and mean clinic HbA1c among unique adults (age ≥18 years) with type 1 diabetes (last visit of the year per patient) between 1 January 2014 and 31 December 2021 from the electronic medical record. Diabetes technology use was defined as the use of continuous glucose monitors (CGMs) without an automated insulin delivery (AID) system or an AID system. Diabetes technology use and HbA1c over time were analyzed using mixed models adjusted for age, sex, and visit year. RESULTS A total of 15,903 clinic visits over 8 years (mean 1,988 patients per year, 4,174 unique patients, 52.7% female, 80.0% Non-Hispanic White) showed significant increases in CGM and AID use (P & lt; 0.001 for both), resulting in an increase of diabetes technology use from 26.9% in 2014 to 82.7% in 2021. These increases were associated with a lower mean clinic HbA1c (7.7–7.5%, P & lt; 0.001) and a higher percentage of adults achieving an HbA1c & lt;7.0% (32.3–41.7%, P & lt; 0.001) from 2014 to 2021. The HbA1c difference between technology users and nonusers increased over time from 0.36% (95% CI 0.26–0.47%, P & lt; 0.001) in 2014 to 0.93% (95% CI 0.80–1.06%, P & lt; 0.001) in 2021. CONCLUSIONS Adopting diabetes technology in adults with type 1 diabetes decreased HbA1c and increased the number of people achieving an HbA1c & lt;7.0%, supporting the current international recommendation to offer AID systems to most individuals with type 1 diabetes.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2023
    detail.hit.zdb_id: 1490520-6
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