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Laugesen C, Ritschel T, Ranjan AG, Hsu L, Jørgensen JB, Svensson J, Ekhlaspour L, Buckingham B, Nørgaard K. Impact of Missed and Late Meal Boluses on Glycemic Outcomes in Automated Insulin Delivery-Treated Children and Adolescents with Type 1 Diabetes: A Two-Center, Population-Based Cohort Study. Diabetes Technol Ther 2024. [PMID: 38805311 DOI: 10.1089/dia.2024.0022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
Objective: To evaluate the impact of missed or late meal boluses (MLBs) on glycemic outcomes in children and adolescents with type 1 diabetes using automated insulin delivery (AID) systems. Research Design and Methods: AID-treated (Tandem Control-IQ or Medtronic MiniMed 780G) children and adolescents (aged 6-21 years) from Stanford Medical Center and Steno Diabetes Center Copenhagen with ≥10 days of data were included in this two-center, binational, population-based, retrospective, 1-month cohort study. The primary outcome was the association between the number of algorithm-detected MLBs and time in target glucose range (TIR; 70-180 mg/dL). Results: The study included 189 children and adolescents (48% females with a mean ± standard deviation age of 13 ± 4 years). Overall, the mean number of MLBs per day in the cohort was 2.2 ± 0.9. For each additional MLB per day, TIR decreased by 9.7% points (95% confidence interval [CI] 11.3; 8.1), and compared with the quartile with fewest MLBs (Q1), the quartile with most (Q4) had 22.9% less TIR (95% CI: 27.2; 18.6). The age-, sex-, and treatment modality-adjusted probability of achieving a TIR of >70% in Q4 was 1.4% compared with 74.8% in Q1 (P < 0.001). Conclusions: MLBs significantly impacted glycemic outcomes in AID-treated children and adolescents. The results emphasize the importance of maintaining a focus on bolus behavior to achieve a higher TIR and support the need for further research in technological or behavioral support tools to handle MLBs.
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Affiliation(s)
- Christian Laugesen
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Tobias Ritschel
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Ajenthen G Ranjan
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Liana Hsu
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - John Bagterp Jørgensen
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Jannet Svensson
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Gentofte, Denmark
| | - Laya Ekhlaspour
- Division of Endocrinology, Department of Pediatrics, University of San Francisco, San Francisco, California, USA
| | - Bruce Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Kirsten Nørgaard
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Gentofte, Denmark
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Akturk HK, Battelino T, Castañeda J, Arrieta A, van den Heuvel T, Cohen O. Future of Time-in-Range Goals in the Era of Advanced Hybrid Closed-Loop Automated Insulin Delivery Systems. Diabetes Technol Ther 2024; 26:102-106. [PMID: 38377325 PMCID: PMC10890947 DOI: 10.1089/dia.2023.0432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
The concept of maintaining blood glucose levels within the 70-180 mg/dL range, known as time-in-range, has raised questions regarding its representation of true physiological euglycemia. Some have speculated that focusing on the time spent within the 70-140 mg/dL range, introduced as time in tight range (TITR) through the International Consensus statement, could serve as a more precise metric for assessing normoglycemia in individuals with type 1 diabetes. This article delves into the current status of TITR as an emerging marker and explores how advanced hybrid closed-loop systems may offer a promising avenue for achieving this higher level of glycemic control.
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Affiliation(s)
- Halis K. Akturk
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
| | - Tadej Battelino
- University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Arcelia Arrieta
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | | | - Ohad Cohen
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
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3
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Akturk HK, McKee AM. Emerging Technologies and Therapeutics for Type 1 Diabetes. Endocrinol Metab Clin North Am 2024; 53:81-91. [PMID: 38272600 DOI: 10.1016/j.ecl.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Recent years witnessed advancements in diabetes technologies and therapeutics. People with type 1 diabetes have more options to control their blood glucose, prevent hypoglycemia, and spend more time with their loved ones. Newer diabetes technologies and therapeutics improve the quality of life and boost the confidence of people with type 1 diabetes. In parallel to changes in the diabetes technology field, stem cell research has been evolving. Gene editing and production of β cells from stem cells are ongoing. The current focus of cure studies is how to increase the survival of cells produced with stem cells. New adjunctive therapies are under development.
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Affiliation(s)
- Halis Kaan Akturk
- Barbara Davis Center for Diabetes, University of Colorado, 1775 Aurora Court, Room 1319, Aurora, CO 80045, USA.
| | - Alexis M McKee
- Division of Endocrinology, Metabolism & Lipid Research, Washington University in St. Louis School of Medicine, St Louis, MO, USA
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4
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Nimri R, Phillip M, Clements MA, Kovatchev B. Closed-Loop Control, Artificial Intelligence-Based Decision-Support Systems, and Data Science. Diabetes Technol Ther 2024; 26:S68-S89. [PMID: 38441444 DOI: 10.1089/dia.2024.2505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Affiliation(s)
- Revital Nimri
- Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Moshe Phillip
- Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mark A Clements
- Division of Pediatric Endocrinology, Children's Mercy Hospitals and Clinics, Kansas City, MO, USA
| | - Boris Kovatchev
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA, USA
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Marks BE, Grundman JB, Meighan S, Monaghan M, Streisand R, Perkins A. Hybrid Closed Loop Systems Improve Glycemic Control and Quality of Life in Historically Minoritized Youth with Diabetes. Diabetes Technol Ther 2024; 26:167-175. [PMID: 38444316 PMCID: PMC11071108 DOI: 10.1089/dia.2023.0450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Background: We assessed changes in glycemic control and person-reported outcome measures (PROMs) with t:slim X2 insulin pump with Control-IQ technology use among historically minoritized youth who are least likely to access hybrid closed loop (HCL) technology. Methods: This single-arm, prospective pilot study enrolled 15 publicly insured, insulin pump-naïve, non-Hispanic Black youth ages 6 to <21 years with type 1 diabetes and hemoglobin A1c (HbA1c) ≥10% in a 6-month study of HCL use. The primary outcome was absolute change in time in range (TIR) (70-180 mg/dL). Secondary outcomes included other continuous glucose monitor metrics, PROMs, and diabetic ketoacidosis (DKA) incidence. Results: For 13 youth (median 14.8 years, 53.3% female, HbA1c 11.7%) who completed the study, baseline TIR of 12.3% (6.3-27.1%) increased 23.7%-points (16.9, 30.5%; P < 0.001) or 5.7 h per day. Percent time >250 mg/dL decreased 33.9%-points (-44.8, -23.1%; P < 0.001) or 8.1 h per day from a baseline of 69.4% (51.6, 84.0%). Median time in HCL was 78.3% (59.7, 87.3%). Youth received 10.1 (9.2, 11.9) boluses per day, 71.7% (63.8, 79.3%) of which were HCL-initiated autoboluses. Diabetes-specific quality of life increased among parents (P < 0.001) and youth (P = 0.004), and diabetes distress decreased in both groups (P < 0.001, P = 0.005). Improvements in glycemia did not correlate with any baseline youth or parent PROMs. DKA was high at baseline (67 episodes/100-person years) and did not increase during the intervention (72 episodes/100-person years, P = 0.78). Conclusion: Improvements in glycemic control and quality of life exceeding pivotal trial findings without increased safety risks among historically minoritized youth emphasize the need for equitable access to HCL systems. ClinicalTrials.gov: clinicaltrials.gov ID (NCT04807374).
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Affiliation(s)
- Brynn E. Marks
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jody B. Grundman
- Division of Endocrinology, Children's National Medical Center, Washington, District of Columbia, USA
| | - Seema Meighan
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Maureen Monaghan
- Division of Endocrinology, Children's National Medical Center, Washington, District of Columbia, USA
| | - Randi Streisand
- Division of Endocrinology, Children's National Medical Center, Washington, District of Columbia, USA
| | - Amanda Perkins
- Division of Endocrinology, Children's National Medical Center, Washington, District of Columbia, USA
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Wilkinson T, Tomic D, Boyle E, Burren D, Elghattis Y, Jenkins A, Keesing C, Middleton S, Nanayakkara N, Williman J, de Bock M, Cohen ND. Study protocol for a randomised open-label clinical trial examining the safety and efficacy of the Android Artificial Pancreas System (AAPS) with advanced bolus-free features in adults with type 1 diabetes: the 'CLOSE IT' (Closed Loop Open SourcE In Type 1 diabetes) trial. BMJ Open 2024; 14:e078171. [PMID: 38382954 PMCID: PMC10882371 DOI: 10.1136/bmjopen-2023-078171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2024] Open
Abstract
INTRODUCTION Multiple automated insulin delivery (AID) systems have become commercially available following randomised controlled trials demonstrating benefits in people with type 1 diabetes (T1D). However, their real-world utility may be undermined by user-associated burdens, including the need to carbohydrate count and deliver manual insulin boluses. There is an important need for a 'fully automated closed loop' (FCL) AID system, without manual mealtime boluses. The (Closed Loop Open SourcE In Type 1 diabetes) trial is a randomised trial comparing an FCL AID system to the same system used as a hybrid closed loop (HCL) in people with T1D, in an outpatient setting over an extended time frame. METHODS AND ANALYSIS Randomised, open-label, parallel, non-inferiority trial comparing the Android Artificial Pancreas System (AAPS) AID algorithm used as FCL to the same algorithm used as HCL. Seventy-five participants aged 18-70 will be randomised (1:1) to one of two treatment arms for 12 weeks: (a) FCL-participants will be advised not to bolus for meals and (b) HCL-participants will use the AAPS AID algorithm as HCL with announced meals. The primary outcome is the percentage of time in target sensor glucose range (3.9-10.0 mmol/L). Secondary outcomes include other glycaemic metrics, safety, psychosocial factors, platform performance and user dietary factors. Twenty FCL arm participants will participate in a 4-week extension phase comparing glycaemic and dietary outcomes using NovoRapid (insulin aspart) to Fiasp (insulin aspart and niacinamide). ETHICS AND DISSEMINATION Approvals are by the Alfred Health Ethics Committee (615/22) (Australia) and Health and Disability Ethics Committees (2022 FULL 13832) (New Zealand). Each participant will provide written informed consent. Data protection and confidentiality will be ensured. Study results will be disseminated by publications, conferences and patient advocacy groups. TRIAL REGISTRATION NUMBERS ACTRN12622001400752 and ACTRN12622001401741.
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Affiliation(s)
- Tom Wilkinson
- University of Otago Christchurch, Christchurch, New Zealand
| | - Dunya Tomic
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Erin Boyle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - David Burren
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Yasser Elghattis
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Alicia Jenkins
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Sonia Middleton
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | | | - Martin de Bock
- University of Otago Christchurch, Christchurch, New Zealand
| | - Neale D Cohen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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7
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Messer LH, D’Souza E, Merchant G, Mueller L, Farnan J, Habif S, Pinsker JE. Smartphone Bolus Feature Increases Number of Insulin Boluses in People With Low Bolus Frequency. J Diabetes Sci Technol 2024; 18:10-13. [PMID: 37605474 PMCID: PMC10899852 DOI: 10.1177/19322968231191796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
BACKGROUND The t:connect mobile app from Tandem Diabetes Care recently added a feature to allow t:slim X2 insulin pump users to initiate an insulin bolus from their personal smartphone. User experience and user interface considerations prioritized safety and ease of use, and we examined whether the smartphone bolus feature changed bolus behavior in individuals who bolused less than three times/day. METHODS We performed a retrospective analysis of t:slim X2 insulin pump users in the United States who had remotely updated their insulin pump software to be compatible with the smartphone bolus version of the app and who gave less than three boluses per day prior to the smartphone bolus update. RESULTS Of the 4470 early adopters who met these criteria, the median number of boluses was 2.2 per day (prior to smartphone bolus update) versus 2.7 per day (after smartphone bolus update), equating to approximately half a bolus more delivered per day (P < .001). Overall, a median of one bolus per day was administered by smartphone app as opposed to being initiated from the screen on the insulin pump. CONCLUSION This analysis found a significant increase in bolusing behavior among early adopters of the smartphone bolus feature of the t:connect mobile app.
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8
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Williams KJ, Bashan E, Kruse C, Sritharan S, Hodish I. Time in range in patients with type 2 diabetes who are long-term users of d-Nav®, an artificial intelligence-driven technology for autonomous titration of insulin dosing. Diabetes Obes Metab 2023; 25:3845-3848. [PMID: 37722963 DOI: 10.1111/dom.15280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/28/2023] [Accepted: 08/29/2023] [Indexed: 09/20/2023]
Affiliation(s)
- Kevin J Williams
- Cardiovascular Research Center, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania, USA
| | | | | | | | - Israel Hodish
- Hygieia, Inc., Livonia, Michigan, USA
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan Medical Center, Ann Arbor, Michigan, USA
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9
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Hughes MS, Addala A, Buckingham B. Digital Technology for Diabetes. N Engl J Med 2023; 389:2076-2086. [PMID: 38048189 DOI: 10.1056/nejmra2215899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/06/2023]
Affiliation(s)
- Michael S Hughes
- From the Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine (M.S.H.), and the Division of Pediatric Endocrinology, Department of Pediatrics (A.A., B.B), Stanford University, Stanford, CA
| | - Ananta Addala
- From the Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine (M.S.H.), and the Division of Pediatric Endocrinology, Department of Pediatrics (A.A., B.B), Stanford University, Stanford, CA
| | - Bruce Buckingham
- From the Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine (M.S.H.), and the Division of Pediatric Endocrinology, Department of Pediatrics (A.A., B.B), Stanford University, Stanford, CA
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10
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Unsworth R, Avari P, Lett AM, Oliver N, Reddy M. Adaptive bolus calculators for people with type 1 diabetes: A systematic review. Diabetes Obes Metab 2023; 25:3103-3113. [PMID: 37488945 DOI: 10.1111/dom.15204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/08/2023] [Accepted: 06/18/2023] [Indexed: 07/26/2023]
Abstract
AIM To conduct a systematic review of studies assessing adaptive insulin bolus calculators for people with type 1 diabetes (T1D). METHODS Electronic databases (Medline, Embase and Web of Science) were systematically searched from date of inception to 13 October 2022 for single-arm or randomized controlled studies assessing adaptive bolus calculators only, in children or adults with T1D on multiple daily injections or insulin pumps with glycaemic outcomes reported. The Clinicaltrials.gov registry was searched for recently completed studies evaluating decision support in T1D. The quality of extracted studies was assessed using the Standard Quality Assessment criteria and the Cochrane Risk of Bias assessment tool. RESULTS Six studies were identified. Extracted data were synthesized in a descriptive review because of heterogeneity. All the studies were small feasibility studies or were not suitably powered, and all were deemed to be at a high risk of performance and detection bias because they were unblinded. Overall, these studies did not show a significant glycaemic improvement. Two studies showed a reduction in postprandial time below range or an incremental change in blood glucose concentration; however, these were in controlled environments over a short duration. CONCLUSIONS There are limited clinical trials evaluating adaptive bolus calculators. Although results from small trials or in-silico data are promising, further studies are required to support personalized and adaptive management of T1D.
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Affiliation(s)
- Rebecca Unsworth
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Parizad Avari
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Aaron M Lett
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Monika Reddy
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
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Karakus KE, Shah VN, Klonoff D, Akturk HK. Changes in the glycaemia risk index and its association with other continuous glucose monitoring metrics after initiation of an automated insulin delivery system in adults with type 1 diabetes. Diabetes Obes Metab 2023; 25:3144-3151. [PMID: 37427768 DOI: 10.1111/dom.15208] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 07/11/2023]
Abstract
AIM To evaluate the glycaemia risk index (GRI) and its association with other continuous glucose monitoring (CGM) metrics after initiation of an automated insulin delivery (AID) system in patients with type 1 diabetes (T1D). MATERIALS AND METHODS Up to 90 days of CGM data before and after initiation of an AID system from 185 CGM users with T1D were collected. GRI and other CGM metrics were calculated using cgmanalysis R software and were analysed for 24 hours, for both night-time and daytime. GRI values were assigned to five GRI zones: zone A (0-20), B (21-40), C (41-60), D (61-80) and E (81-100). RESULTS Compared with baseline, GRI and its components decreased significantly after AID initiation (GRI: 48.7 ± 21.8 vs. 29 ± 13; hypoglycaemia component: 2.7 ± 2.8 vs. 1.6 ± 1.7; hyperglycaemia component: 25.3 ± 14.5 vs. 15 ± 8.5; P < .001 for all). The GRI was inversely correlated with time in range before (r = -0.962) and after (r = -0.961) AID initiation (P < .001 for both). GRI was correlated with time above range (before: r = 0.906; after = 0.910; P < .001 for both), but not with time below range (P > .05). All CGM metrics improved after AID initiation during 24 hours, for both daytime and night-time (P < .001 for all). Metrics improved significantly more during night-time than daytime (P < .01). CONCLUSIONS GRI was highly correlated with various CGM metrics above, but not below target range, both before and after AID initiation.
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Affiliation(s)
- Kagan E Karakus
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
- School of Medicine, Koç University, Istanbul, Turkey
| | - Viral N Shah
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
| | - David Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, California, USA
| | - Halis K Akturk
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
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Cordero TL, Dai Z, Arrieta A, Niu F, Vella M, Shin J, Rhinehart AS, McVean J, Lee SW, Slover RH, Forlenza GP, Shulman DI, Pop-Busui R, Thrasher JR, Kipnes MS, Christiansen MP, Buckingham BA, Pihoker C, Sherr JL, Kaiserman KB, Vigersky RA. Glycemic Outcomes During Early Use of the MiniMed™ 780G Advanced Hybrid Closed-Loop System with Guardian™ 4 Sensor. Diabetes Technol Ther 2023; 25:652-658. [PMID: 37252734 PMCID: PMC10460682 DOI: 10.1089/dia.2023.0123] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Background: Safety and significant improvement in overall glycated hemoglobin (A1C) and percentage of time spent in (TIR), below (TBR), and above (TAR) glucose range were demonstrated in the pivotal trial of adolescents and adults using the MiniMed™ advanced hybrid closed-loop (AHCL) system with the adjunctive, calibration-required Guardian™ Sensor 3. The present study evaluated early outcomes of continued access study (CAS) participants who transitioned from the pivotal trial investigational system to the approved MiniMed™ 780G system with the non-adjunctive, calibration-free Guardian™ 4 Sensor (MM780G+G4S). Study data were presented alongside those of real-world MM780G+G4S users from Europe, the Middle East, and Africa. Methods: The CAS participants (N = 109, aged 7-17 years and N = 67, aged >17 years) used the MM780G+G4S for 3 months and data of real-world MM780G+G4S system users (N = 10,204 aged ≤15 years and N = 26,099 aged >15 years) were uploaded from September 22, 2021 to December 02, 2022. At least 10 days of real-world continuous glucose monitoring (CGM) data were required for analyses. Glycemic metrics, delivered insulin and system use/interactions underwent descriptive analyses. Results: Time in AHCL and CGM use were >90% for all groups. AHCL exits averaged 0.1/day and there were few blood glucose measurements (BGMs) (0.8/day-1.0/day). Adults in both cohorts met most consensus recommendations for glycemic targets. Pediatric groups met recommendations for %TIR and %TBR, although not those for mean glucose variability and %TAR, possibly due to low use of recommended glucose target (100 mg/dL) and active insulin time (2 h) settings (28.4% in the CAS cohort and 9.4% in the real-world cohort). The CAS pediatric and adult A1C were 7.2% ± 0.7% and 6.8% ± 0.7%, respectively, and there were no serious adverse events. Conclusions: Early clinical use of the MM780G+G4S was safe and involved minimal BGMs and AHCL exits. Consistent with real-world pediatric and adult use, outcomes were associated with achievement of recommended glycemic targets. Clinical Trial Registration number: NCT03959423.
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Affiliation(s)
| | - Zheng Dai
- Medtronic, Northridge, California, USA
| | - Arcelia Arrieta
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | - Fang Niu
- Medtronic, Northridge, California, USA
| | | | - John Shin
- Medtronic, Northridge, California, USA
| | | | | | - Scott W. Lee
- Department of Endocrinology, Loma Linda University, Loma Linda, California, USA
| | - Robert H. Slover
- Department of Pediatrics, Barbara Davis Center of Childhood Diabetes, Aurora, Colorado, USA
| | - Gregory P. Forlenza
- Department of Pediatrics, Barbara Davis Center of Childhood Diabetes, Aurora, Colorado, USA
| | - Dorothy I. Shulman
- University of South Florida Diabetes and Endocrinology, Department of Pediatrics, Tampa, Florida, USA
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, Michigan, USA
| | - James R. Thrasher
- Arkansas Diabetes and Endocrinology Center, Little Rock, Arkansas, USA
| | - Mark S. Kipnes
- Diabetes and Glandular Disease Clinic, San Antonio, Texas, USA
| | | | - Bruce A. Buckingham
- Stanford University School of Medicine, Department of Pediatric Endocrinology, Stanford, California, USA
| | - Catherine Pihoker
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Jennifer L. Sherr
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
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13
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Griffin TP, Gallen G, Hartnell S, Crabtree T, Holloway M, Gibb FW, Lumb A, Wilmot EG, Choudhary P, Hussain S. UK's Association of British Clinical Diabetologist's Diabetes Technology Network (ABCD-DTN): Best practice guide for hybrid closed-loop therapy. Diabet Med 2023; 40:e15078. [PMID: 36932929 DOI: 10.1111/dme.15078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/19/2023]
Abstract
This best practice guide is written with the aim of providing an overview of current hybrid closed-loop (HCL) systems in use within the United Kingdom's (UK) National Health Service (NHS) and to provide education and advice for their management on both an individual and clinical service level. The environment of diabetes technology, and particularly HCL systems, is rapidly evolving. The past decade has seen unprecedented advances in the development of HCL systems. These systems improve glycaemic outcomes and reduce the burden of treatment for people with type 1 diabetes (pwT1D). It is anticipated that access to these systems will increase in England as a result of updates in National Institute of Health and Care Excellence (NICE) guidance providing broader support for the use of real-time continuous glucose monitoring (CGM) for pwT1D. NICE is currently undertaking multiple-technology appraisal into HCL systems. Based on experience from centres involved in supporting advanced technologies as well as from the recent NHS England HCL pilot, this guide is intended to provide healthcare professionals with UK expert consensus on the best practice for initiation, optimisation and ongoing management of HCL therapy.
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Affiliation(s)
- Tomás P Griffin
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
- Diabetes Research Centre, College of Health Sciences, University of Leicester, Leicester, UK
- School of Medicine, University of Limerick, Limerick, Ireland
- Centre for Diabetes and Endocrinology, University Hospital Limerick, Limerick, Ireland
| | - Geraldine Gallen
- Department of Diabetes, School of Cardiovascular, Metabolic Medicine and Sciences, King's College London, London, UK
| | - Sara Hartnell
- Department of Diabetes and Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Thomas Crabtree
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Translational Medical Sciences, University of Nottingham, Nottingham, UK
| | | | - Fraser W Gibb
- Edinburgh Centre for Endocrinology & Diabetes, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Alistair Lumb
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Emma G Wilmot
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Translational Medical Sciences, University of Nottingham, Nottingham, UK
| | - Pratik Choudhary
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
- Diabetes Research Centre, College of Health Sciences, University of Leicester, Leicester, UK
| | - Sufyan Hussain
- Department of Diabetes, School of Cardiovascular, Metabolic Medicine and Sciences, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's & St Thomas' NHS Foundation Trust, London, UK
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Grundman JB, Perkins A, Monaghan M, Meighan S, Streisand R, Marks BE. Differences in positive expectancy of hybrid closed loop (HCL) insulin delivery systems do not explain racial differences in HCL use. J Clin Transl Endocrinol 2023; 32:100319. [PMID: 37273975 PMCID: PMC10238440 DOI: 10.1016/j.jcte.2023.100319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/12/2023] [Accepted: 05/18/2023] [Indexed: 06/06/2023] Open
Abstract
Aims Hybrid closed loop (HCL) insulin delivery systems improve glycemia and quality of life among youth with type 1 diabetes (T1D), however there are inequities in use. We aimed to evaluate whether differences in positive expectancy of HCL systems may explain differences in use. Methods Fifteen publicly-insured, non-Hispanic Black (NHB) youth with hemoglobin A1C (HbA1c) ≥ 10% enrolled in a study exploring changes in glycemia and person reported outcomes (PRO) during 6 months of Tandem t:slim X2 insulin pump with Control-IQ technology. At baseline youth and parents completed PROs, including Insulin Delivery Systems: Perceptions, Ideas, Reflections and Expectations (INSPIRE) survey assessing positive expectancy of HCL use, and Problem Areas in Diabetes (PAID) survey assessing diabetes-related distress. Differences between this cohort and the Tandem Control-IQ pediatric pivotal trial (DCLP5) cohort were assessed. Results As compared to the DCLP5 cohort (0% NHB, 10% publicly-insured), baseline glycemic indicators were suboptimal (MHbA1c 11.9 ± 1.4% vs 7.6 ± 0.9%, p < 0.0001; continuous glucose monitor (CGM) time-above-range > 180 mg/dL 82 ± 15% vs 45 ± 18%, p < 0.0001). INSPIRE scores in both cohorts were equally high among youth (80 ± 10 vs 77 ± 13, p = 0.41) and parents (88 ± 14 vs 85 ± 11, p = 0.37). PAID scores were higher among parents (68 ± 19 vs 43 ± 16, p < 0.0001), but not youth (43 ± 16 vs 35 ± 16, p = 0.09) in the historically marginalized cohort as compared to the DCLP5 cohort. Conclusions Despite differences in glycemic control and diabetes related burden, positive expectancy of HCL systems is comparable among historically marginalized youth with T1D and the predominantly non-Hispanic White, privately insured DCLP5 cohort. These findings suggest that differences in perceptions of HCL technology may not explain inequities in use.
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Affiliation(s)
- Jody B. Grundman
- Children’s National Hospital, 111 Michigan Ave NW, Washington DC 20010, USA
| | - Amanda Perkins
- Children’s National Hospital, 111 Michigan Ave NW, Washington DC 20010, USA
| | - Maureen Monaghan
- Children’s National Hospital, 111 Michigan Ave NW, Washington DC 20010, USA
- George Washington University School of Medicine, 3200 I St NW, Washington DC 20052, USA
| | - Seema Meighan
- Children’s Hospital of Philadelphia, 3501 Civic Center Boulevard, Philadelphia, PA 19104, USA
| | - Randi Streisand
- Children’s National Hospital, 111 Michigan Ave NW, Washington DC 20010, USA
- George Washington University School of Medicine, 3200 I St NW, Washington DC 20052, USA
| | - Brynn E. Marks
- Children’s Hospital of Philadelphia, 3501 Civic Center Boulevard, Philadelphia, PA 19104, USA
- Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA
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Peacock S, Frizelle I, Hussain S. A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems. Diabetes Ther 2023; 14:839-855. [PMID: 37017916 PMCID: PMC10126177 DOI: 10.1007/s13300-023-01394-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 03/08/2023] [Indexed: 04/06/2023] Open
Abstract
INTRODUCTION Several different forms of automated insulin delivery systems (AID systems) have recently been developed and are now licensed for type 1 diabetes (T1D). We undertook a systematic review of reported trials and real-world studies for commercial hybrid closed-loop (HCL) systems. METHODS Pivotal, phase III and real-world studies using commercial HCL systems that are currently approved for use in type 1 diabetes were reviewed with a devised protocol using the Medline database. RESULTS Fifty-nine studies were included in the systematic review (19 for 670G; 8 for 780G; 11 for Control-IQ; 14 for CamAPS FX; 4 for Diabeloop; and 3 for Omnipod 5). Twenty were real-world studies, and 39 were trials or sub-analyses. Twenty-three studies, including 17 additional studies, related to psychosocial outcomes and were analysed separately. CONCLUSIONS These studies highlighted that HCL systems improve time In range (TIR) and arouse minimal concerns around severe hypoglycaemia. HCL systems are an effective and safe option for improving diabetes care. Real-world comparisons between systems and their effects on psychological outcomes require further study.
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Affiliation(s)
- Sofia Peacock
- Department of Diabetes, School of Cardiovascular, Metabolic Medicine and Sciences, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's & St Thomas' NHS Foundation Trust, King's College London, 3rd Floor Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Isolda Frizelle
- Department of Diabetes and Endocrinology, Guy's & St Thomas' NHS Foundation Trust, King's College London, 3rd Floor Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Sufyan Hussain
- Department of Diabetes, School of Cardiovascular, Metabolic Medicine and Sciences, King's College London, London, UK.
- Department of Diabetes and Endocrinology, Guy's & St Thomas' NHS Foundation Trust, King's College London, 3rd Floor Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
- Institute of Diabetes, Endocrinology and Obesity, King's Health Partners, London, UK.
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Bassi M, Franzone D, Dufour F, Strati MF, Scalas M, Tantari G, Aloi C, Salina A, d’Annunzio G, Maghnie M, Minuto N. Automated Insulin Delivery (AID) Systems: Use and Efficacy in Children and Adults with Type 1 Diabetes and Other Forms of Diabetes in Europe in Early 2023. Life (Basel) 2023; 13:783. [PMID: 36983941 PMCID: PMC10053516 DOI: 10.3390/life13030783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 03/07/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Type 1 diabetes (T1D) patients' lifestyle and prognosis has remarkably changed over the years, especially after the introduction of insulin pumps, in particular advanced hybrid closed loop systems (AHCL). Emerging data in literature continuously confirm the improvement of glycemic control thanks to the technological evolution taking place in this disease. As stated in previous literature, T1D patients are seen to be more satisfied thanks to the use of these devices that ameliorate not only their health but their daily life routine as well. Limited findings regarding the use of new devices in different age groups and types of patients is their major limit. This review aims to highlight the main characteristics of each Automated Insulin Delivery (AID) system available for patients affected by Type 1 Diabetes Mellitus. Our main goal was to particularly focus on these systems' efficacy and use in different age groups and populations (i.e., children, pregnant women). Recent studies are emerging that demonstrate their efficacy and safety in younger patients and other forms of diabetes.
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Affiliation(s)
- Marta Bassi
- IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy
| | - Daniele Franzone
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy
| | - Francesca Dufour
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy
| | - Marina Francesca Strati
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy
| | - Marta Scalas
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy
| | - Giacomo Tantari
- IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy
| | - Concetta Aloi
- LABSIEM (Laboratory for the Study of Inborn Errors of Metabolism), Pediatric Clinic, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy
| | - Alessandro Salina
- LABSIEM (Laboratory for the Study of Inborn Errors of Metabolism), Pediatric Clinic, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy
| | | | - Mohamad Maghnie
- IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy
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Bassi M, Patti L, Silvestrini I, Strati MF, Ponzano M, Minuto N, Maggi D. One-year follow-up comparison of two hybrid closed-loop systems in Italian children and adults with type 1 diabetes. Front Endocrinol (Lausanne) 2023; 14:1099024. [PMID: 36777356 PMCID: PMC9909036 DOI: 10.3389/fendo.2023.1099024] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 01/16/2023] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND AND AIMS Tandem Control-IQ and MiniMed 780G are the main Advanced Hybrid Closed Loop (AHCL) systems currently available in pediatric and adult patients with Type 1 Diabetes (T1D). The aim of our study was to evaluate glycemic control after 1-year of follow-up extending our previous study of 1-month comparison between the two systems. METHODS We retrospectively compared clinical and continuous glucose monitoring (CGM) data from the patients included in the previous study which have completed 1-year observation period. The study population consisted of 74 patients, 42 Minimed 780G users and 32 Tandem Control-IQ users. Linear mixed models with random intercept were performed to study the variations over time and the interaction between time and system; Mann-Whitney or T-test were used to compare systems at 1-year. RESULTS Both systems have been shown to be effective in maintaining the glycemic improvement achieved one month after starting AHCL. Significant changes over time were observed for TIR, TAR, TAR>250mg/dl, average glucose levels and SD (p<0.001). At 1-year follow-up Minimed 780G obtained better improvement in TIR (p<0.001), TAR (p=0.002), TAR>250mg/dl (p=0.001), average glucose levels (p<0.001). The comparison of the glycemic parameters at 1-year showed a significant superiority of Minimed 780G in terms of TIR (71% vs 68%; p=0.001), TAR (p=0.001), TAR>250 (p=0.009), average glucose levels(p=0.001) and SD (p=0.031). CONCLUSIONS The use of AHCL systems led to a significant improvement of glycemic control at 1-month, which is maintained at 1-year follow-up. MiniMed is more effective than Tandem in reaching the International recommended glycemic targets. Continuous training and education in the use of technology is essential to get the best out of the most advanced technological tools.
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Affiliation(s)
- Marta Bassi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, University of Genoa, Genoa, Italy
| | - Luca Patti
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy
| | - Irene Silvestrini
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy
| | - Marina Francesca Strati
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, University of Genoa, Genoa, Italy
| | - Marta Ponzano
- Department of Health Science (DiSSAL), University of Genoa, Genoa, Italy
| | - Nicola Minuto
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, University of Genoa, Genoa, Italy
- *Correspondence: Nicola Minuto,
| | - Davide Maggi
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy
- Diabetes Clinic, IRCCS Ospedale Policlinico San Martino Genoa, Genoa, Italy
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