- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06473480
Continuous Bloodsugar Monitoring System With a Sensor Compared to Fingerstick Bloodsugar Monitoring (GLUCOSENS)
Continuous GLUCOse Monitoring System With a SENSor Compared to Fingerstick Glucose Monitoring in Surgical Wards (GLUCOSENS)
This clinical trial aims to compare a continuous glucose monitoring system with traditional fingerstick blood glucose monitoring. The study focuses on adult patients in general surgical wards who need regular blood glucose checks due to the risk of low or high blood sugar levels.
The goal is to learn if using a continuous glucose monitoring system is better than fingerstick monitoring in managing glucose levels, preventing complications, improving patient satisfaction and experience, reducing nursing staff workload, and improving nursing staff' experience. The study also compares the accuracy of glucose readings from the continuous glucose monitoring system with those from fingerstick tests and blood samples.
The hypothesis is that CGMS is accurate and effective for monitoring glucose levels in surgical patients. This could lead to better blood sugar control, fewer complications, shorter hospital stays, and improved experiences for both patients and nursing staff.
Study Overview
Status
Intervention / Treatment
Detailed Description
Glucose control in surgical patients at risk of hyperglycemia and hypoglycemia is essential, as these conditions can lead to infections, poor surgical outcomes, prolonged hospital stays, and death. In 2022, the prevalence of diagnosed diabetes in Denmark was 6.2%. With the global incidence of diabetes on the rise, the number of patients requiring glucose control during surgical admissions is increasing.
Point-of-care (POC) fingerstick capillary glucose monitoring (FSGM) is standard in many hospitals; however, FSGM can be painful, disrupt sleep, and increase postoperative stress for patients. Additionally, it can be time-consuming, requiring up to two hours of nursing work per patient daily. This makes timely and prescribed glucose monitoring challenging in busy surgical wards, potentially leading to untreated hyperglycemia and hypoglycemia. Moreover, FSGM provides only a snapshot of glucose levels, without indicating whether glucose is stable, rising, or falling.
An alternative to FSGM is continuous glucose monitoring systems (CGMS), which measure glucose levels via a subcutaneous sensor every few minutes. CGMS is predominantly used in ambulatory settings and has been shown to improve glucose regulation. Several studies have confirmed the accuracy of CGMS compared to FSGM in surgical and medical wards, reporting an overall mean absolute relative difference ranging from 9.4 to 12.9, making it acceptable for use in surgical wards. Other studies have reported that CGMS in surgical and medical wards results in superior glycemic control, reduced hypoglycemia, insulin usage, and in-hospital complications, and detected significant duration of both hypo- and hyperglycemia despite protocolized perioperative diabetes management compared to FSGM.
Studies on patients' perspectives of CGMS have been limited to everyday life and outpatient settings. One review on patients with type 1 and 2 diabetes experienced improved convenience, control, and freedom by the use of CGMS but were also overwhelmed by data and frustrated by inaccuracy, and technical issues, which is consistent with findings from another review of patients with diabetes type 2. Another study reported that patients with type 2 diabetes found the technology helpful for disease management, although it could also serve as an unpleasant reminder of disease progression and cause discomfort.
One case report has described nurses' experiences with CGMS in hospital wards for patients with type 1 diabetes. The nurses experienced an increased workload due to difficulties hearing the device receiver, leading to more frequent patient observations.
In summary, CGMS has been reported to be safe and beneficial in ambulatory settings, while challenges and knowledge gaps remain in hospital wards. To date, no studies have compared glucose levels from CGMS with those from a laboratory plasma glucose analyzer as the reference. This study aims to investigate the effect of CGMS compared to FSGM in patients with hyperglycemia in general surgical wards on glucose levels, complications, length of hospital stay, and patient satisfaction and experience with glucose management during hospitalization and up to three months after discharge. Additionally, the study will investigate the nursing staff's workload and experience in the surgical ward, and the accuracy of CGMS throughout hospitalization, including during surgical procedures and medical imaging.
Seven substudies will be conducted:
Substudy 1 - Glucose levels and management for surgical patients in relation to hospitalization: Compares point-of-care glucose levels and management using point-of-care FSGM and point-of-care CGMS during hospitalization and FSGM and continuous glucose monitoring (CGM) up to three months after discharge.
Substudy 2 - Patient satisfaction with glucose monitoring and management in surgical wards: Compares patient satisfaction with glucose monitoring and management for surgical patients using point-of-care FSGM and point-of-care CGMS during hospitalization.
Substudy 3 - Nursing staff's glucose monitoring and management workload in the surgical ward: Compares the nursing staff's workload with point-of-care FSGM to point-of-care CGMS for surgical patients.
Substudy 4 (qualitative study) - Patient experience of glucose monitoring and management in relation to hospitalization in surgical wards: Compares the patient experience with point-of-care FSGM to point-of-care CGMS and glucose management during hospitalization in the surgical ward and one compares the patient experience of FSGM with CGM one month after discharge.
Substudy 5 - Continuous glucose level for surgical patients in relation to hospitalization in the surgical ward: Compares the continuous glucose levels when glucose monitoring and management are performed by point-of-care FSGM and point-of-care CGMS in the surgical ward. Further, it compares continuous glucose levels using point-of-care FSGM and CGM after discharge.
Substudy 6 - Accuracy of CGMS for surgical patients during hospitalization: Investigates the accuracy of CGMS by comparing CGMS data with FSGM and plasma glucose data.
Substudy 7 (qualitative study) - Nursing staff's experience with fingerstick monitoring and CGSM for surgical patients: Compares the nursing staff's experience with point-of-care FSGM to point-of-care CGMS and glucose management for surgical patients.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Karoline Schousboe, MD, PhD
- Phone Number: 0045 +4524349740
- Email: Karoline.Schousboe@rsyd.dk
Study Contact Backup
- Name: Helen Schultz, RN, PhD
- Phone Number: +4522401513
- Email: Helen.Schultz@rsyd.dk
Study Locations
-
-
-
Køge, Denmark, 4600
- Recruiting
- Department of Surgery, Zealand University Hospital
-
Contact:
- Tine Lumbye Thomsen, RN, MCN
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Odense, Denmark, 5000
- Recruiting
- The Department of Surgery, Odense Univeristy Hospital
-
Contact:
- Line Abrahamsen, RN, MCN
- Phone Number: +4565412244
- Email: line.abrahamsen@rsyd.dk
-
Contact:
- Helen Schultz, RN, PhD
- Phone Number: +4522401513
- Email: Helen.Schultz@rsyd.dk
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Hospitalized patients (≥ 18 years old) in surgical wards
- Glucose measurements at least 4 times (OUH) and 3 times (SUH) daily for at least three days, prescribed by surgeon
- Expected hospitalization for at least three days
- Communicates in Danish
- Signed a declaration of consent to study participation
- At risk of hypo- and hyperglycemia (with or without a diabetes diagnosis)
- Specific for substudy 4 inclusion criteria as above with the following add on: Patients being treated with insulin at discharge and patients residing within the OUH admission area.
Exclusion Criteria:
- Cognitively impaired patients
- Indication for glucose monitoring solely because of parenteral nutrition treatment
- Patients admitted with a CGMS
- Patients from the point-of-care fingerstick capillary glucose monitoring group cannot be included in the continuous glucose monitoring system group
Eligibility criteria solely for substudy 7
Inclusion Criteria:
- Nursing staff with at least one month of experience with both point-of-care fingerstick capillary glucose monitoring and continuous glucose monitoring system and are registered nurses or certified nursing assistants
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Non-Randomized
- Interventional Model: Sequential Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: PERIOD 1: Point-of-care fingerstick glucose monitoring = standard care
Subjects' blood glucose levels are monitored using point-of-care fingerstick capillary glucose monitoring (standard care), which is conducted by surgical ward nurses according to a predefined schedule.
Diabetes treatment management is overseen by specific in-house diabetes nurses.
Treatment decisions are based on point-of-care fingerstick capillary glucose values.
|
|
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Active Comparator: PERIOD 2: Glucose monitoring system as point-of-care = study intervention
The sensor from the continuous glucose monitoring system is scanned by surgical nurses as point-of-care according to the predefined schedule, as in standard care. Monitoring is conducted by surgical ward nurses. Diabetes treatment management is overseen by specific in-house diabetes nurses. Diabetes nurses' treatment decisions are based on the continuous glucose monitoring system values. |
The sensor is placed subcutaneously at the back of the participant's upper arm with one insertion and measures the subcutaneous glucose concentration.
|
|
Experimental: PERIOD 3: Point-of care fingerstick glucose monitoring = standard care + blinded sensor
PERIOD 3: Same as for period 1, but with a blinded sensor (FreeStyle Libre Pro). The data from the blinded sensors are concealed from both participants and nurses and will be used for comparison with the experimental arm. This study period is only conducted at OUH. |
The sensor is placed subcutaneously at the back of the participant's upper arm with one insertion and measures the subcutaneous glucose concentration.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Substudy 1: Mean daytime and nocturnal point-of-care glucose levels
Time Frame: During hospitalization (up to 30 days)
|
Point-of-care glucose levels measured by point-of-care continuous glucose monitoring system (CGMS) or point-of-care fingerstick capillary glucose monitoring (FSGM) Arm allocation: Period 1: FSGM Period 2: CGMS Number of measurements: minimum four times daily, hourly if fasting. Blood glucose measurement: mmol/L |
During hospitalization (up to 30 days)
|
|
Substudy 2: Patient-reported outcome on the convenience of glucose monitoring
Time Frame: During hospitalization (up to 30 days)
|
Using the validated Danish version of the 22-item questionnaire: The Diabetes Treatment Satisfaction Questionnaire for Inpatients (DTSQ-IP), item 4: How convenient did you think the diabetes treatment was at hospitalization? Ranging from 0 - 6 0 represents 'At no time' 6 represents 'At most of the time' |
During hospitalization (up to 30 days)
|
|
Substudy 3: Mean minutes surgical nursing staff spent on bedside glucose monitoring
Time Frame: During hospitalization (up to 30 days)
|
Mean time: minutes. Data include:
|
During hospitalization (up to 30 days)
|
|
Substudy 5: Percentage of time in range (3.9-10.0 mmol/l) during the entire hospital stay
Time Frame: During hospitalization (up to 30 days)
|
Percentage of time in range (3.9-10.0
mmol/l) during the entire hospital stay
|
During hospitalization (up to 30 days)
|
|
Substudy 6: Differences in interstitial and plasma glucose
Time Frame: During hospitalization (up to 30 days)
|
Glucose levels from CGMS are compared to plasma glucose, which are co-analyzed in blood tests.
|
During hospitalization (up to 30 days)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Substudy 1: Readmission
Time Frame: 30-days after discharge from hospital
|
Assesment of 30-day numbers of readmissions
|
30-days after discharge from hospital
|
|
Substudy 1: Mortality after discharge from hospital
Time Frame: 90-days after discharge from hospital
|
Assesment of 90-day numbers of mortality.
|
90-days after discharge from hospital
|
|
Substudy 1: HbA1c three months after discharge
Time Frame: 90-days after discharge from hospital
|
mmol/mol
|
90-days after discharge from hospital
|
|
Substudy 1: • Mean dose of short-acting insulin (IE)
Time Frame: During hospitalization (up to 30 days)
|
Unit: International units (IE)
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Mean dose of long-acting insulin (IE)
Time Frame: During hospitalization (up to 30 days)
|
Unit: International units (IE)
|
During hospitalization (up to 30 days)
|
|
eGFR
Time Frame: During hospitalization (up to 30 days)
|
Estimated Glomerular Filtration Rate
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: Sepsis
Time Frame: During hospitalization (up to 30 days)
|
Defined as suspected or confirmed infection, as well as organ damage
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: Acute kidney failure
Time Frame: During hospitalization (up to 30 days)
|
Plasma creatinine, μmol/L
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: First acute transfer to intensive care unit
Time Frame: During hospitalization (up to 30 days)
|
The date for the first acute transfer to the intensive care unit and back to the surgical ward The number of days at the intensive care unit Unit: Days |
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: Second acute transfer to intensive care unit
Time Frame: During hospitalization (up to 30 days)
|
The date for the second acute transfer to the intensive care unit and back to the surgical ward The number of days at the intensive care unit Unit: Days |
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: Infections
Time Frame: During hospitalization (up to 30 days)
|
CRP, leucocytes, central body temperature.
Unit: Days
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: Antibiotics
Time Frame: During hospitalization (up to 30 days)
|
Received antibiotics Unit: Days
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: Bedsore
Time Frame: During hospitalization (up to 30 days)
|
Presence of bedsore during hospitalization: yes/no
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: Diabetes ketoacidosis
Time Frame: During hospitalization (up to 30 days)
|
Diabetes ketoacidosis, defined as: pH < 7.30 and blood ketones > 3 mmol/L.
Unit: Number of occurrence.
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Complication: Anastomotic leak
Time Frame: During hospitalization (up to 30 days)
|
Presence of anastomotic leak during hospitalization: yes/no
|
During hospitalization (up to 30 days)
|
|
Substudy 1: Mortality during hospitalization
Time Frame: During hospitalization (up to 30 days)
|
Yes or no
|
During hospitalization (up to 30 days)
|
|
Substudy 1: TIR and other established outcome derived from CGM
Time Frame: 90-days after discharge from hospital
|
Percentage
|
90-days after discharge from hospital
|
|
Substudy 2: DTSQ-IP, treatment satisfaction (item 1)
Time Frame: During hospitalization (up to 30 days)
|
Ranging from 0 - 6 0 represents 'At no time' 6 represents 'Very satisfied' |
During hospitalization (up to 30 days)
|
|
Substudy 2: DTSQ-IP, experience with hyper- and hypoglycemia (items 2-3)
Time Frame: During hospitalization (up to 30 days)
|
Ranging from 0 - 6 0 represents 'At no time' 6 represents 'At most of the time' |
During hospitalization (up to 30 days)
|
|
Substudy 2: DTSQ-IP, treatment surveillance and flexibility (items 5+9),
Time Frame: During hospitalization (up to 30 days)
|
Ranging from 0 - 6 0 represents 'very unsatisfied"/"very inflexible' 6 represents ''very satisfied"very flexible" |
During hospitalization (up to 30 days)
|
|
Substudy 2: DTSQ-IP, treatment information, knowledge, and communication (items 15-18)
Time Frame: During hospitalization (up to 30 days)
|
Ranging from 0 - 6 0 represents 'very unsatisfied' 6 represents 'very satisfied' |
During hospitalization (up to 30 days)
|
|
Substudy 2: DTSQ-IP, contact with specialized diabetes nurses (items 20-21)
Time Frame: During hospitalization (up to 30 days)
|
Ranging from 0 - 6 0 represents 'very unsatisfied' 6 represents 'very satisfied' |
During hospitalization (up to 30 days)
|
|
Substudy 3: Mean minutes surgical nursing staff spent on reporting glucose levels and management to diabetes nurses
Time Frame: During hospitalization (up to 30 days)
|
Measurement: Mean minutes
|
During hospitalization (up to 30 days)
|
|
Substudy 3: Mean minutes the diabetes nurse spent in relation to the surgical patients
Time Frame: During hospitalization (up to 30 days)
|
The mean minutes diabetes nurses spent collecting information about glucose levels and management, supervising patients and surgical professionals, and being supervised by endocrinologists.
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, time above range (TAR) 10,1-13.9 mmol/l
Time Frame: During hospitalization (up to 30 days)
|
Percentage of time above range (TAR) 10,1-13.9
mmol/l
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, time above range (TAR) >13.9 mmol/l
Time Frame: During hospitalization (up to 30 days)
|
Percentage of time above range >13.9 mmol/l
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, time below range 3.0-3.9 mmol/l
Time Frame: During hospitalization (up to 30 days)
|
Percentage of time below range 3.0-3.9
mmol/l
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, time below range <3.0
Time Frame: During hospitalization (up to 30 days)
|
Percentage of time below range <3.0 mmol/l
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, standard deviation (SD)
Time Frame: During hospitalization (up to 30 days)
|
mmol/l
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, coefficient of variation (CV)
Time Frame: During hospitalization (up to 30 days)
|
SD divided by mean glucose level
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, mean glucose level daytime
Time Frame: During hospitalization (up to 30 days)
|
mmol/l
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, mean glucose level night-time
Time Frame: During hospitalization (up to 30 days)
|
mmol/l
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, Hypoglycemia level 1 (3.0-3.9 mmol/l)
Time Frame: During hospitalization (up to 30 days)
|
Duration more than 15 consecutive minutes
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, hypoglycemia level 2 (<3.0 mmol/l)
Time Frame: During hospitalization (up to 30 days)
|
Duration more than 15 consecutive minutes
|
During hospitalization (up to 30 days)
|
|
Substudy 5: CGMS, number of hypoglycemic events in level 1 and 2, respectively
Time Frame: During hospitalization (up to 30 days)
|
Number
|
During hospitalization (up to 30 days)
|
|
Substudy 6: Differences in interstitial and capillary glucose
Time Frame: During hospitalization (up to 30 days)
|
Glucose levels from CGMS are compared to FSGM data, which are co-analyzed in blood tests.
|
During hospitalization (up to 30 days)
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: Karoline Schousboe, MD, PhD, Steno Diabetes Center Odense, Odense University Hospital
- Study Chair: Helen Schultz, RN, PhD, The Department of Surgery, Odense University Hospital
Publications and helpful links
General Publications
- World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013 Nov 27;310(20):2191-4. doi: 10.1001/jama.2013.281053. No abstract available.
- Chan AW, Tetzlaff JM, Altman DG, Laupacis A, Gotzsche PC, Krleza-Jeric K, Hrobjartsson A, Mann H, Dickersin K, Berlin JA, Dore CJ, Parulekar WR, Summerskill WS, Groves T, Schulz KF, Sox HC, Rockhold FW, Rennie D, Moher D. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013 Feb 5;158(3):200-7. doi: 10.7326/0003-4819-158-3-201302050-00583.
- Galindo 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.
- Carstensen B, Ronn PF, Jorgensen ME. Prevalence, incidence and mortality of type 1 and type 2 diabetes in Denmark 1996-2016. BMJ Open Diabetes Res Care. 2020 May;8(1):e001071. doi: 10.1136/bmjdrc-2019-001071.
- Wang 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.
- Taylor PJ, Thompson CH, Brinkworth GD. Effectiveness and acceptability of continuous glucose monitoring for type 2 diabetes management: A narrative review. J Diabetes Investig. 2018 Jul;9(4):713-725. doi: 10.1111/jdi.12807. Epub 2018 Mar 1.
- Kotagal M, Symons RG, Hirsch IB, Umpierrez GE, Dellinger EP, Farrokhi ET, Flum DR; SCOAP-CERTAIN Collaborative. Perioperative hyperglycemia and risk of adverse events among patients with and without diabetes. Ann Surg. 2015 Jan;261(1):97-103. doi: 10.1097/SLA.0000000000000688.
- Stahl-Pehe A, Kamrath C, Prinz N, Kapellen T, Menzel U, Kordonouri O, Schwab KO, Bechtold-Dalla Pozza S, Rosenbauer J, Holl RW. Prevalence of type 1 and type 2 diabetes in children and adolescents in Germany from 2002 to 2020: A study based on electronic health record data from the DPV registry. J Diabetes. 2022 Dec;14(12):840-850. doi: 10.1111/1753-0407.13339. Epub 2022 Dec 14.
- American Diabetes Association Professional Practice Committee. 16. Diabetes Care in the Hospital: Standards of Medical Care in Diabetes-2022. Diabetes Care. 2022 Jan 1;45(Suppl 1):S244-S253. doi: 10.2337/dc22-S016.
- Mianowska B, Mlynarski W, Szadkowska I, Szadkowska A. Evaluation of Three Lancing Devices: What Do Blood Volume and Lancing Pain Depend On? J Diabetes Sci Technol. 2021 Sep;15(5):1076-1083. doi: 10.1177/1932296820949930. Epub 2020 Aug 17.
- Carstensen B, Ronn PF, Jorgensen ME. Components of diabetes prevalence in Denmark 1996-2016 and future trends until 2030. BMJ Open Diabetes Res Care. 2020 Aug;8(1):e001064. doi: 10.1136/bmjdrc-2019-001064.
- Kocher S, Tshiananga JK, Koubek R. Comparison of lancing devices for self-monitoring of blood glucose regarding lancing pain. J Diabetes Sci Technol. 2009 Sep 1;3(5):1136-43. doi: 10.1177/193229680900300517.
- Aragon D. Evaluation of nursing work effort and perceptions about blood glucose testing in tight glycemic control. Am J Crit Care. 2006 Jul;15(4):370-7.
- Gothong C, Singh LG, Satyarengga M, Spanakis EK. Continuous glucose monitoring in the hospital: an update in the era of COVID-19. Curr Opin Endocrinol Diabetes Obes. 2022 Feb 1;29(1):1-9. doi: 10.1097/MED.0000000000000693.
- Carlsson CJ, Norgaard K, Oxboll AB, Sogaard MIV, Achiam MP, Jorgensen LN, Eiberg JP, Palm H, Sorensen HBD, Meyhof CS, Aasvang EK. Continuous Glucose Monitoring Reveals Perioperative Hypoglycemia in Most Patients With Diabetes Undergoing Major Surgery: A Prospective Cohort Study. Ann Surg. 2023 Apr 1;277(4):603-611. doi: 10.1097/SLA.0000000000005246. Epub 2021 Oct 8.
- Chiu CJ, Chou YH, Chen YJ, Du YF. Impact of New Technologies for Middle-Aged and Older Patients: In-Depth Interviews With Type 2 Diabetes Patients Using Continuous Glucose Monitoring. JMIR Diabetes. 2019 Feb 21;4(1):e10992. doi: 10.2196/10992.
- Sampson MJ, Singh H, Dhatariya KK, Jones C, Walden E, Bradley C. Psychometric validation and use of a novel diabetes in-patient treatment satisfaction questionnaire. Diabet Med. 2009 Jul;26(7):729-35. doi: 10.1111/j.1464-5491.2009.02754.x.
- Rutter CL, Jones C, Dhatariya KK, James J, Irvine L, Wilson EC, Singh H, Walden E, Holland R, Harvey I, Bradley C, Sampson MJ. Determining in-patient diabetes treatment satisfaction in the UK--the DIPSat study. Diabet Med. 2013 Jun;30(6):731-8. doi: 10.1111/dme.12095. Epub 2013 Mar 6.
- Spanakis EK, Cook CB, Kulasa K, Aloi JA, Bally L, Davis G, Dungan KM, Galindo RJ, Mendez CE, Pasquel FJ, Shah VN, Umpierrez GE, Aaron RE, Tian T, Yeung AM, Huang J, Klonoff DC. A Consensus Statement for Continuous Glucose Monitoring Metrics for Inpatient Clinical Trials. J Diabetes Sci Technol. 2023 Nov;17(6):1527-1552. doi: 10.1177/19322968231191104. Epub 2023 Aug 17.
- Berrios-Torres SI, Umscheid CA, Bratzler DW, Leas B, Stone EC, Kelz RR, Reinke CE, Morgan S, Solomkin JS, Mazuski JE, Dellinger EP, Itani KMF, Berbari EF, Segreti J, Parvizi J, Blanchard J, Allen G, Kluytmans JAJW, Donlan R, Schecter WP; Healthcare Infection Control Practices Advisory Committee. Centers for Disease Control and Prevention Guideline for the Prevention of Surgical Site Infection, 2017. JAMA Surg. 2017 Aug 1;152(8):784-791. doi: 10.1001/jamasurg.2017.0904. Erratum In: JAMA Surg. 2017 Aug 1;152(8):803. doi: 10.1001/jamasurg.2017.1943.
- Lin R, Brown F, James S, Jones J, Ekinci E. Continuous glucose monitoring: A review of the evidence in type 1 and 2 diabetes mellitus. Diabet Med. 2021 May;38(5):e14528. doi: 10.1111/dme.14528. Epub 2021 Mar 6.
- Cavalcante Lima Chagas G, Teixeira L, R C Clemente M, Cavalcante Lima Chagas R, Santinelli Pestana DV, Rodrigues Silva Sombra L, B Lima B, J Galindo R, Abreu M. Use of continuous glucose monitoring and point-of-care glucose testing in hospitalized patients with diabetes mellitus in non-intensive care unit settings: A systematic review and meta-analysis of randomized controlled trials. Diabetes Res Clin Pract. 2025 Feb;220:111986. doi: 10.1016/j.diabres.2024.111986. Epub 2025 Jan 9.
- Olsen MT, Klarskov CK, Jensen SH, Rasmussen LM, Lindegaard B, Andersen JA, Gottlieb H, Lunding S, Pedersen-Bjergaard U, Hansen KB, Kristensen PL. In-Hospital Diabetes Management by a Diabetes Team and Insulin Titration Algorithms Based on Continuous Glucose Monitoring or Point-of-Care Glucose Testing in Patients With Type 2 Diabetes (DIATEC): A Randomized Controlled Trial. Diabetes Care. 2025 Apr 1;48(4):569-578. doi: 10.2337/dc24-2222.
- Natale P, Chen S, Chow CK, Cheung NW, Martinez-Martin D, Caillaud C, Scholes-Robertson N, Kelly A, Craig JC, Strippoli G, Jaure A. Patient experiences of continuous glucose monitoring and sensor-augmented insulin pump therapy for diabetes: A systematic review of qualitative studies. J Diabetes. 2023 Dec;15(12):1048-1069. doi: 10.1111/1753-0407.13454. Epub 2023 Aug 8.
- Verissimo D, Vinhais J, Ivo C, Martins AC, Nunes E Silva J, Passos D, Lopes L, Jacome de Castro J, Marcelino M. Continuous Glucose Monitoring vs. Capillary Blood Glucose in Hospitalized Type 2 Diabetes Patients. Cureus. 2023 Aug 21;15(8):e43832. doi: 10.7759/cureus.43832. eCollection 2023 Aug.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- GLUCOSENS
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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University of LeedsCompletedEffect of Food on Postprandial HyperglycemiaUnited Kingdom
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Zealand University HospitalRecruitingAnesthesia | Surgical Procedure, Unspecified | Hyperglycemia Stress | Continuous Glucose Monitoring | Hyperglycemia Steroid-inducedDenmark
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Harokopio UniversityNational and Kapodistrian University of AthensCompleted
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University of SharjahCompletedPostprandial HyperglycemiaUnited Arab Emirates
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Egas Moniz - Cooperativa de Ensino Superior, CRLCompletedHyperglycemia, PostprandialPortugal
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University of BergenCompleted
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Franklin Pierce UniversityTerminatedHyperglycemia, PostprandialUnited States
Clinical Trials on Abbott FreeStyle Libre System 2 Plus
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University Hospital, Basel, SwitzerlandRecruitingPhysical Activity | Coronary Heart Disease | Cardiovascular Risk FactorsSwitzerland
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Klick Inc.Mittal Global Clinical Trial ServicesCompletedHealthy | Type 2 Diabetes MellitusCanada
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Abbott Diabetes CareActive, not recruitingEvaluation of Flash Continuous Glucose Monitoring to Reduce Hyperglycemia in People With T2 DiabetesDiabetes Mellitus, Type 2United States
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Karol E. Watson, MDUniversity of California, Los AngelesNot yet recruitingStress | Diet Habit | Cholesterol, Elevated | Blood Sugar; HighUnited States
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Kangbuk Samsung HospitalDaewoong Pharmaceutical Co. LTD.RecruitingGestational Diabetes Mellitus in PregnancyKorea, Republic of
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Woodlands Health CampusTan Tock Seng HospitalRecruitingType 2 Diabetes Treated With InsulinSingapore
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Chinese University of Hong KongCompletedDiabetes with Diabetic Chronic Kidney Disease (Diagnosis)Hong Kong
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Imperial College LondonCompletedChronic Kidney Diseases | Diabetic Nephropathies | Type 1 Diabetes MellitusUnited Kingdom
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Universitaire Ziekenhuizen KU LeuvenOnze Lieve Vrouwziekenhuis AalstCompletedDiabetes Mellitus, Type 1Belgium
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Abbott Diabetes CareCompletedType 2 Diabetes MellitusUnited States