Continuous Glucose Monitoring Devices in Hospitalized Veterans With Diabetes
2 other identifiers
interventional
218
1 country
1
Brief Summary
More than 25% of the patients admitted in the general wards have a history of Diabetes Mellitus (DM). Up to 30% of the hospitalized diabetics develop hypoglycemia (low glucose values); a condition that is associated with seizures, cardiac arrhythmias, and even death. In Veterans, the prevalence is disproportionally higher. It is estimated that 40-50% of hospitalized Veterans are diabetics. In this clinical trial the investigators describe the development of a novel system, the Glucose Telemetry System (GTS), with which glucose values can be wirelessly transmitted from the patient's bedside to a monitor device at the nursing station. The goal of this work is to develop a more effective glucose surveillance system at the general wards, which can decrease hypoglycemia in the hospital and improve clinical outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable diabetes-mellitus-type-2
Started Jul 2018
Longer than P75 for not_applicable diabetes-mellitus-type-2
1 active site
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
April 10, 2018
CompletedFirst Posted
Study publicly available on registry
April 26, 2018
CompletedStudy Start
First participant enrolled
July 1, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 11, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2026
CompletedJanuary 7, 2026
January 1, 2026
7 years
April 10, 2018
January 6, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Decrease in hypoglycemia during the hospitalization
GTS and the application of the hypoglycemia prevention protocol will lead to a decrease in hypoglycemia in the hospital
Through study completion-hospitalization (average length of stay at the hospital of 4-6 days)
Study Arms (2)
Intervention group (Continuous Glucose Monitroring and POC)
ACTIVE COMPARATORHospitalized patients with DM2 will be monitored with Glucose Telemetry System (GTS) and Point of Care (POC) finger-stick blood glucose levels with application of hypoglycemia prevention protocol (activated based the GTS lower glucose alarms)
Control group (Point of Care-POC)
PLACEBO COMPARATORHospitalized patients with DM2 will be monitored with POC blood glucose levels and application of hypoglycemia prevention protocol (activated based the POC values)
Interventions
Hospitalized patients with DM2 will be monitored with Glucose Telemetry System (GTS)
Hospitalized patients with DM2 will be monitored with POC (Point of Care) blood glucose levels.
Eligibility Criteria
You may qualify if:
- Veterans with history of DM2 managed with insulin (either basal bolus, basal only or basal with per os DM medications), admitted to the Baltimore VA Medical Center, who have at
- least 1 risk factor of hypoglycemia
You may not qualify if:
- Veterans with history of type 1 DM.
- Veterans with history of DM2 managed with diet or any combination of oral antidiabetic drugs only.
- Veterans hospitalized with significant hyperglycemia or diabetic ketoacidosis
- Pregnant Veterans
- Veterans receiving glucocorticosteroids in doses (equivalent) to 20 mg of hydrocortisone/day
- Veterans that are expected to require a hospital stay \<3 days will also be excluded
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Baltimore VA Medical Center VA Maryland Health Care System, Baltimore, MD
Baltimore, Maryland, 21201, United States
Related Publications (17)
Satyarengga M, Siddiqui T, Spanakis EK. Designing the Glucose Telemetry for Hospital Management: From Bedside to the Nursing Station. Curr Diab Rep. 2018 Aug 29;18(10):87. doi: 10.1007/s11892-018-1067-4.
PMID: 30159754BACKGROUNDWang M, Singh LG, Spanakis EK. Advancing the Use of CGM Devices in a Non-ICU Setting. J Diabetes Sci Technol. 2019 Jul;13(4):674-681. doi: 10.1177/1932296818821094. Epub 2019 Jan 13.
PMID: 30636449BACKGROUNDNgaage LM, Osadebey EN, Tullie STE, Elegbede A, Rada EM, Spanakis EK, Goldberg N, Slezak S, Rasko YM. An Update on Measures of Preoperative Glycemic Control. Plast Reconstr Surg Glob Open. 2019 May 16;7(5):e2240. doi: 10.1097/GOX.0000000000002240. eCollection 2019 May.
PMID: 31333965BACKGROUNDNguyen M, Han J, Spanakis EK, Kovatchev BP, Klonoff DC. A Review of Continuous Glucose Monitoring-Based Composite Metrics for Glycemic Control. Diabetes Technol Ther. 2020 Aug;22(8):613-622. doi: 10.1089/dia.2019.0434. Epub 2020 Mar 4.
PMID: 32069094BACKGROUNDChen E, King F, Kohn MA, Spanakis EK, Breton M, Klonoff DC. A Review of Predictive Low Glucose Suspend and Its Effectiveness in Preventing Nocturnal Hypoglycemia. Diabetes Technol Ther. 2019 Oct;21(10):602-609. doi: 10.1089/dia.2019.0119.
PMID: 31335193BACKGROUNDSpanakis EK, Singh LG, Siddiqui T, Sorkin JD, Notas G, Magee MF, Fink JC, Zhan M, Umpierrez GE. Association of glucose variability at the last day of hospitalization with 30-day readmission in adults with diabetes. BMJ Open Diabetes Res Care. 2020 May;8(1):e000990. doi: 10.1136/bmjdrc-2019-000990.
PMID: 32398351BACKGROUNDSpanakis EK. Diabetes and Technology in the Covid-19 Pandemic Crisis. J Diabetes Sci Technol. 2021 Mar;15(2):377-378. doi: 10.1177/1932296820929385. Epub 2020 May 27. No abstract available.
PMID: 32460544BACKGROUNDGalindo RJ, Aleppo G, Klonoff DC, Spanakis EK, Agarwal S, Vellanki P, Olson DE, Umpierrez GE, Davis GM, Pasquel FJ. Implementation of Continuous Glucose Monitoring in the Hospital: Emergent Considerations for Remote Glucose Monitoring During the COVID-19 Pandemic. J Diabetes Sci Technol. 2020 Jul;14(4):822-832. doi: 10.1177/1932296820932903. Epub 2020 Jun 14.
PMID: 32536205BACKGROUNDUmpierrez G, Rushakoff R, Seley JJ, Zhang JY, Shang T, Han J, Spanakis EK, Alexanian S, Drincic A, Kulasa K, Mendez CE, Tanton D, Wallia A, Zilbermint M, Klonoff DC. Hospital Diabetes Meeting 2020. J Diabetes Sci Technol. 2020 Sep;14(5):928-944. doi: 10.1177/1932296820939626. Epub 2020 Aug 12.
PMID: 32783456BACKGROUNDGalindo 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: 32985262BACKGROUNDSingh 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: 32759361BACKGROUNDMigdal AL, Spanakis EK, Galindo RJ, Davis G, Singh LG, Satyarengga M, Scott WH, Fayfman M, Pasquel FJ, Albury B, Urrutia M, Zamudio Coronado KW, Cardona S, Peng L, Umpierrez GE. Accuracy and Precision of Continuous Glucose Monitoring in Hospitalized Patients Undergoing Radiology Procedures. J Diabetes Sci Technol. 2020 Nov;14(6):1135-1136. doi: 10.1177/1932296820930038. Epub 2020 Jun 1. No abstract available.
PMID: 32476459BACKGROUNDZhang JY, Shang T, Ahn D, Chen K, Cote G, Espinoza J, Mendez CE, Spanakis EK, Thompson B, Wallia A, Wisk LE, Kerr D, Klonoff DC. How to Best Protect People With Diabetes From the Impact of SARS-CoV-2: Report of the International COVID-19 and Diabetes Summit. J Diabetes Sci Technol. 2021 Mar;15(2):478-514. doi: 10.1177/1932296820978399. Epub 2021 Jan 21.
PMID: 33476193BACKGROUNDDavis 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: 34099515BACKGROUNDAsh GI, Griggs S, Nally LM, Stults-Kolehmainen M, Jeon S, Brandt C, Gulanski BI, Spanakis EK, Baker JS, Whittemore R, Weinzimer SA, Fucito LM. Evaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study. JMIR Diabetes. 2021 Jul 8;6(3):e28309. doi: 10.2196/28309.
PMID: 34047700BACKGROUNDSpanakis EK, Yoo A, Ajayi ON, Siddiqui T, Khan MM, Seliger SL, Klonoff DC, Feng Z, Sorkin JD. Excess Mortality in COVID-19-Positive Versus COVID-19-Negative Inpatients With Diabetes: A Nationwide Study. Diabetes Care. 2021 Sep;44(9):e169-e170. doi: 10.2337/dc20-2350. Epub 2021 Jul 7. No abstract available.
PMID: 34233926BACKGROUNDNguyen KT, Xu NY, Zhang JY, Shang T, Basu A, Bergenstal RM, Castorino K, Chen KY, Kerr D, Koliwad SK, Laffel LM, Mathioudakis N, Midyett LK, Miller JD, Nichols JH, Pasquel FJ, Prahalad P, Prausnitz MR, Seley JJ, Sherr JL, Spanakis EK, Umpierrez GE, Wallia A, Klonoff DC. Continuous Ketone Monitoring Consensus Report 2021. J Diabetes Sci Technol. 2022 May;16(3):689-715. doi: 10.1177/19322968211042656. Epub 2021 Oct 4.
PMID: 34605694BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ilias Spanakis, MD
Baltimore VA Medical Center VA Maryland Health Care System, Baltimore, MD
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- FED
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 10, 2018
First Posted
April 26, 2018
Study Start
July 1, 2018
Primary Completion
July 11, 2025
Study Completion
April 30, 2026
Last Updated
January 7, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR
- Time Frame
- 6 months after the final publication have been submitted (and following the clinical trial completion)
- Access Criteria
- Final data sets will be maintained locally until enterprise-level resources become available. Upon request, the investigators will provide a de-identified, anonymized data set to others in the scientific community with the implementation of appropriate data use agreements. Data that can potentially shared are glucometric values and medication usage data. This will allow others to validate the investigators' findings.
The investigators will willingly share de-identified data to qualified investigators who wish to perform any additional analyses, including validation of results. Researchers need also to have completed Human Subjects and HIPPA training. Data will be provided after the end of the study. Study findings may also be presented at scientific meetings (such as American Diabetes Association and Diabetes Technology Society meetings). Study findings may also be presented at Medical and Endocrine Grand Rounds nationally. Final data sets (i.e demographic data, medication usage data, glucometric values) will be maintained locally (VABMC server) until enterprise-level resources become available for long term storage and access.