Time in Glucose Hospital Target
TIGHT
1 other identifier
interventional
169
1 country
6
Brief Summary
Inpatient management of glycemia in people with diabetes has been inadequately studied. Previous randomized trials of intensive insulin therapy in the hospital setting resulted in excessive hypoglycemia. Current ADA guidelines (glucose 140-180 mg/dL) are by consensus with the upper bound defined by observational data and the lower bound by safety concerns. None of the previous studies of intensive glucose management used CGM technology. Whether near normal glucose levels can be achieved without increasing hypoglycemia among hospitalized patients with diabetes with the advent of CGM technology is not known. There are clear associations between hyperglycemia and poor outcomes in patients with diabetes hospitalized with infection, including COVID-19. The COVID-19 pandemic has increased the urgency to definitively answer the question of whether glucose lowering below 140-180 mg/dL can be achieved without increasing hypoglycemia. If this proposed study demonstrates intensive management of glucose to a target of 90 to 130 mg/dL without hypoglycemia is achievable in the inpatient setting with CGM technology, a larger study could then be performed to evaluate whether there is clinical benefit including a reduction in morbidity and mortality. The primary study hypothesis is that glucose management with CGM can achieve a mean glucose of 90-130 mg/dL without increasing hypoglycemia compared with standard care with a glucose target of 140-180 mg/dL. Individuals with diabetes who are hospitalized (non-ICU) for an eligible condition will be randomly assigned to receive standard therapy (glucose target 140-180 mg/dL per ADA guidelines) or intensive therapy (glucose target 90-130 mg/dL and CGM used for monitoring). Real-time CGM will be used in the Intensive Target Group and masked CGM will be used in the Standard Target Group. The co-primary outcomes, assessed via a hierarchical approach, include a treatment group comparison of mean glucose (superiority) followed by a non-inferiority comparison of time \<54 mg/dL measured with CGM.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable diabetes-mellitus-type-2
Started May 2022
6 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 21, 2021
CompletedFirst Posted
Study publicly available on registry
November 26, 2021
CompletedStudy Start
First participant enrolled
May 10, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2024
CompletedMarch 22, 2024
March 1, 2024
1.8 years
October 21, 2021
March 21, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Co-primary Outcome: CGM-measured mean glucose (superiority)
In this trial, one of the co-primary outcomes measured using CGM for up to 10 days following randomization is the mean glucose which is tested for superiority between the intensive treatment and standard treatment.
4-10 days
Co-primary Outcome: CGM-measured percent time <54 mg/dL (non-inferiority)
In this trial, the other co-primary outcome measured using CGM for up to 10 days following randomization is the percent time below 54 mg/dL which is tested to demonstrate non-inferiority of intensive treatment compared with standard treatment.
4-10 days
Secondary Outcomes (2)
CGM Metrics by daytime only (06:00 AM to 00:00 AM)
4-10 days
CGM Metrics by nighttime only (00:00 AM to 06:00 AM)
4-10 days
Other Outcomes (5)
CGM metrics related to hypoglycemia
4-10 days
CGM metrics related to hypoglycemia
4-10 days
CGM metrics related to hyperglycemia
4-10 days
- +2 more other outcomes
Study Arms (2)
Standard Target Group
ACTIVE COMPARATORStandard therapy with glucose target 140-180 mg/dL (ADA guidelines) and masked CGM
Intensive Target Group
EXPERIMENTALIntensive therapy with glucose target 90-130 mg/dL with real-time CGM
Interventions
A masked CGM sensor will be worn
An unmasked CGM sensor will worn
Eligibility Criteria
You may qualify if:
- Age \>= 18 years old
- Type 2 diabetes (per investigator assessment); or if not previously diagnosed as having diabetes, HbA1c\>=7.0% (laboratory-measured at or since hospital admission or within prior 3-months).
- Type 1 diabetes, atypical forms of diabetes (including pancreatectomy and pancreatitis) and stress hyperglycemia alone are not eligible.
- At least 1 blood glucose measurement \>180 mg/dL since admission
- Insulin already initiated since admission or planned to be initiated
- Non-critical hospitalization with expected length of stay on non-ICU floor \>3 days at time of randomization
You may not qualify if:
- Inability to provide written consent
- Admission to ICU
- Patients transferred from ICU with an expected length of stay \>3 days on a non-ICU floor are eligible
- Treatment with systemic immunosuppressive agents such as high dose (\>7.5 mg/day Prednisone equivalent) steroids or biologics that are not regimented and have been started within the last 3 months at time of enrollment or planned treatment prior to randomization.
- Suspected or confirmed acute myocardial infarction or stroke as reason for hospital admission or since admission
- Considered unlikely to survive hospitalization per investigator's judgment
- Diabetic ketoacidosis (DKA) or hyperosmolar hyperglycemic state (HHS) in the 6 months prior to hospital admission, at hospital admission or prior to randomization during the current hospital admission
- One or more severe hypoglycemic events within the 6 months prior to hospital admission or prior to randomization during the current admission
- For females, pregnant or breastfeeding
- A negative serum or urine pregnancy test will be required for all females of child-bearing potential.
- CGM other than study CGM being used during hospitalization or planned to be used
- Blood glucose \>400 mg/dL at time of potential enrollment (most recent blood glucose measurement in hospital)
- Insulin pump being used to deliver insulin during hospitalization or planned to be used
- Use of IV insulin at time of potential enrollment
- Hypoxia (O2 saturation \<90) present at time of potential enrollment
- +8 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Jaeb Center for Health Researchlead
- DexCom, Inc.collaborator
Study Sites (6)
University of Colorado, Anschutz Inpatient Pavilion 1 and 2
Aurora, Colorado, 80045, United States
Emory University
Atlanta, Georgia, 30303, United States
Baltimore Research and Education Foundation
Baltimore, Maryland, 21201, United States
University of North Carolina Hospitals
Chapel Hill, North Carolina, 27514, United States
University of Pittsburgh Medical Center
Pittsburgh, Pennsylvania, 15213, United States
University of Washington Medical Center
Seattle, Washington, 98195, United States
Related Publications (17)
Price CL, Hassi HO, English NR, Blakemore AI, Stagg AJ, Knight SC. Methylglyoxal modulates immune responses: relevance to diabetes. J Cell Mol Med. 2010 Jun;14(6B):1806-15. doi: 10.1111/j.1582-4934.2009.00803.x. Epub 2009 Jun 16.
PMID: 19538479BACKGROUNDCarey IM, Critchley JA, DeWilde S, Harris T, Hosking FJ, Cook DG. Risk of Infection in Type 1 and Type 2 Diabetes Compared With the General Population: A Matched Cohort Study. Diabetes Care. 2018 Mar;41(3):513-521. doi: 10.2337/dc17-2131. Epub 2018 Jan 12.
PMID: 29330152BACKGROUNDDiabetes Control and Complications Trial Research Group; Nathan DM, Genuth S, Lachin J, Cleary P, Crofford O, Davis M, Rand L, Siebert C. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993 Sep 30;329(14):977-86. doi: 10.1056/NEJM199309303291401.
PMID: 8366922BACKGROUNDIntensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998 Sep 12;352(9131):837-53.
PMID: 9742976BACKGROUNDNICE-SUGAR Study Investigators; Finfer S, Chittock DR, Su SY, Blair D, Foster D, Dhingra V, Bellomo R, Cook D, Dodek P, Henderson WR, Hebert PC, Heritier S, Heyland DK, McArthur C, McDonald E, Mitchell I, Myburgh JA, Norton R, Potter J, Robinson BG, Ronco JJ. Intensive versus conventional glucose control in critically ill patients. N Engl J Med. 2009 Mar 26;360(13):1283-97. doi: 10.1056/NEJMoa0810625. Epub 2009 Mar 24.
PMID: 19318384BACKGROUNDvan den Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, Vlasselaers D, Ferdinande P, Lauwers P, Bouillon R. Intensive insulin therapy in critically ill patients. N Engl J Med. 2001 Nov 8;345(19):1359-67. doi: 10.1056/NEJMoa011300.
PMID: 11794168BACKGROUNDVan den Berghe G, Wilmer A, Hermans G, Meersseman W, Wouters PJ, Milants I, Van Wijngaerden E, Bobbaers H, Bouillon R. Intensive insulin therapy in the medical ICU. N Engl J Med. 2006 Feb 2;354(5):449-61. doi: 10.1056/NEJMoa052521.
PMID: 16452557BACKGROUNDBrunkhorst FM, Engel C, Bloos F, Meier-Hellmann A, Ragaller M, Weiler N, Moerer O, Gruendling M, Oppert M, Grond S, Olthoff D, Jaschinski U, John S, Rossaint R, Welte T, Schaefer M, Kern P, Kuhnt E, Kiehntopf M, Hartog C, Natanson C, Loeffler M, Reinhart K; German Competence Network Sepsis (SepNet). Intensive insulin therapy and pentastarch resuscitation in severe sepsis. N Engl J Med. 2008 Jan 10;358(2):125-39. doi: 10.1056/NEJMoa070716.
PMID: 18184958BACKGROUNDPreiser JC, Devos P, Ruiz-Santana S, Melot C, Annane D, Groeneveld J, Iapichino G, Leverve X, Nitenberg G, Singer P, Wernerman J, Joannidis M, Stecher A, Chiolero R. A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the Glucontrol study. Intensive Care Med. 2009 Oct;35(10):1738-48. doi: 10.1007/s00134-009-1585-2. Epub 2009 Jul 28.
PMID: 19636533BACKGROUNDDavis GM, Spanakis EK, Migdal AL, Singh LG, Albury B, Urrutia MA, Zamudio-Coronado KW, Scott WH, Doerfler R, Lizama S, Satyarengga M, Munir K, Galindo RJ, Vellanki P, Cardona S, Pasquel FJ, Peng L, Umpierrez GE. Accuracy of Dexcom G6 Continuous Glucose Monitoring in Non-Critically Ill Hospitalized Patients With Diabetes. Diabetes Care. 2021 Jul;44(7):1641-1646. doi: 10.2337/dc20-2856. Epub 2021 Jun 7.
PMID: 34099515BACKGROUNDGalindo RJ, Migdal AL, Davis GM, Urrutia MA, Albury B, Zambrano C, Vellanki P, Pasquel FJ, Fayfman M, Peng L, Umpierrez GE. Comparison of the FreeStyle Libre Pro Flash Continuous Glucose Monitoring (CGM) System and Point-of-Care Capillary Glucose Testing in Hospitalized Patients With Type 2 Diabetes Treated With Basal-Bolus Insulin Regimen. Diabetes Care. 2020 Nov;43(11):2730-2735. doi: 10.2337/dc19-2073. Epub 2020 Jul 8.
PMID: 32641372BACKGROUNDSingh LG, Satyarengga M, Marcano I, Scott WH, Pinault LF, Feng Z, Sorkin JD, Umpierrez GE, Spanakis EK. Reducing Inpatient Hypoglycemia in the General Wards Using Real-time Continuous Glucose Monitoring: The Glucose Telemetry System, a Randomized Clinical Trial. Diabetes Care. 2020 Nov;43(11):2736-2743. doi: 10.2337/dc20-0840. Epub 2020 Aug 5.
PMID: 32759361BACKGROUNDAgarwal S, Mathew J, Davis GM, Shephardson A, Levine A, Louard R, Urrutia A, Perez-Guzman C, Umpierrez GE, Peng L, Pasquel FJ. Continuous Glucose Monitoring in the Intensive Care Unit During the COVID-19 Pandemic. Diabetes Care. 2021 Mar;44(3):847-849. doi: 10.2337/dc20-2219. Epub 2020 Dec 23.
PMID: 33361145BACKGROUNDSadhu AR, Serrano IA, Xu J, Nisar T, Lucier J, Pandya AR, Patham B. Continuous Glucose Monitoring in Critically Ill Patients With COVID-19: Results of an Emergent Pilot Study. J Diabetes Sci Technol. 2020 Nov;14(6):1065-1073. doi: 10.1177/1932296820964264. Epub 2020 Oct 16.
PMID: 33063556BACKGROUNDGalindo RJ, Umpierrez GE, Rushakoff RJ, Basu A, Lohnes S, Nichols JH, Spanakis EK, Espinoza J, Palermo NE, Awadjie DG, Bak L, Buckingham B, Cook CB, Freckmann G, Heinemann L, Hovorka R, Mathioudakis N, Newman T, O'Neal DN, Rickert M, Sacks DB, Seley JJ, Wallia A, Shang T, Zhang JY, Han J, Klonoff DC. Continuous Glucose Monitors and Automated Insulin Dosing Systems in the Hospital Consensus Guideline. J Diabetes Sci Technol. 2020 Nov;14(6):1035-1064. doi: 10.1177/1932296820954163. Epub 2020 Sep 28.
PMID: 32985262BACKGROUNDThomas C, Welsh JB, Lu S, Gray JM. Safety and Functional Integrity of Continuous Glucose Monitoring Components After Simulated Radiologic Procedures. J Diabetes Sci Technol. 2021 Jul;15(4):781-785. doi: 10.1177/1932296820920948. Epub 2020 Apr 22.
PMID: 32319318BACKGROUNDCritchley JA, Carey IM, Harris T, DeWilde S, Hosking FJ, Cook DG. Glycemic Control and Risk of Infections Among People With Type 1 or Type 2 Diabetes in a Large Primary Care Cohort Study. Diabetes Care. 2018 Oct;41(10):2127-2135. doi: 10.2337/dc18-0287. Epub 2018 Aug 13.
PMID: 30104296BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Irl Hirsch, MD
University of Washington
- PRINCIPAL INVESTIGATOR
Judy Sibayan, MPH, CCRP
Jaeb Center for Health Research
- STUDY DIRECTOR
Roy Beck, MD, PhD
Jaeb Center for Health Research
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 21, 2021
First Posted
November 26, 2021
Study Start
May 10, 2022
Primary Completion
March 1, 2024
Study Completion
March 1, 2024
Last Updated
March 22, 2024
Record last verified: 2024-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- 1 year post completion
- Access Criteria
- Requests are entered on Jaeb Center for Health Research public website which collects name and contact information for individual requesting data along with reason for request, including planned analyses.
Public data set will include the de-identified participants demographic and CGM data.