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Philis-Tsimikas A, Diego ERNS, Vincent L, Lohnes S, Singleton C. Are we Ready for Real-Time Continuous Glucose Monitoring in the Hospital Setting? Benefits, Challenges, and Practical Approaches for Implementation : Case Vignette: Remote Real-Time Continuous Glucose Monitoring for Hospitalized Care in Quincy Koala. Curr Diab Rep 2024; 24:217-226. [PMID: 39126617 DOI: 10.1007/s11892-024-01549-z] [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] [Accepted: 07/16/2024] [Indexed: 08/12/2024]
Abstract
PURPOSE OF REVIEW While preliminary evidence for use of real-time continuous glucose monitoring (rtCGM) in the hospital setting is encouraging, challenges with currently available devices and technology will need to be overcome as part of real-world integration. This paper reviews the current evidence and guidelines regarding use of rtCGM in the hospital and suggests a practical approach to implementation. RECENT FINDINGS There is now a considerable body of real-world evidence on the benefits of reducing dysglycemia in the hospital using both traditional point-of-care (POC) glucose testing and rtCGM. Benefits of rtCGM include decreased frequency of hypo- and hyperglycemia with reduced need of frequent POC checks and it is both feasible and well-accepted by nursing staff and providers. If expansion to additional sites is to be considered, practical solutions will need to be offered. Recommendations for an operational workflow and tools are described to guide implementation in the non-ICU setting. Further testing in randomized controlled trials and real-world dissemination and implementation designs is needed, together with industry and technology collaborations, to further streamline the integration into health systems.
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Affiliation(s)
- Athena Philis-Tsimikas
- Scripps Whittier Diabetes Institute, 9834 Genesee Ave, Suite 300, La Jolla, CA, 92037, USA.
| | - Emily Rose N San Diego
- Scripps Whittier Diabetes Institute, 9834 Genesee Ave, Suite 300, La Jolla, CA, 92037, USA
- Scripps Research Translational Institute, La Jolla, CA, USA
| | - Lauren Vincent
- Scripps Whittier Diabetes Institute, 9834 Genesee Ave, Suite 300, La Jolla, CA, 92037, USA
- Scripps Health Inpatient Providers Medical Group, San Diego, CA, USA
| | - Suzanne Lohnes
- Scripps Whittier Diabetes Institute, 9834 Genesee Ave, Suite 300, La Jolla, CA, 92037, USA
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2
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Thullen A, Gerber R, Keen A. Glycemic Outcomes and Nurse Perceptions of Continuous Glucose Monitoring for Hospitalized Patients. J Nurs Care Qual 2024; 39:310-316. [PMID: 39167920 DOI: 10.1097/ncq.0000000000000791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2024]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) can decrease hypoglycemic events and health care costs; however, barriers and facilitators that influence CGM use are unknown. PURPOSE The purpose of this study was to evaluate hypoglycemic events and cost outcomes after CGM implementation and describe associated barriers and facilitators. METHODS A mixed-methods study design was used to evaluate CGM implementation on 2 pulmonary units within an academic health center. Hypoglycemic events were evaluated before and after CGM implementation, and nurses were interviewed about facilitators and barriers that influence CGM use. RESULTS Hypoglycemic events decreased from a rate of 0.0906 per 1000 patient days to 0.0503 postimplementation, P < .0001. A $105 766 cost avoidance was recognized. Barriers and facilitators to CGM use are described. CONCLUSIONS Findings support CGM implementation, while uniquely contributing financial impact and device use barriers and facilitators. Hospitals may consider CGM use to improve timely identification and treatment of hypoglycemia.
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Affiliation(s)
- Alexandra Thullen
- Authors Affiliations: Nursing Quality, Adult Academic Health Center, Indiana University Health, Indianapolis, Indiana (Thullen, Gerber, and Keen)
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3
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Kelley T. Right-sizing Documentation: What the Pandemic Taught Us about Clinical Documentation and Quality of Care. Crit Care Nurs Clin North Am 2024; 36:393-406. [PMID: 39069358 DOI: 10.1016/j.cnc.2024.04.001] [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: 07/30/2024]
Abstract
Nursing documentation is essential to communicate patient care delivery. This review explores available evidence on the contribution of nursing documentation toward quality care delivery during the COVID-19 pandemic. Nine articles were evaluated for at least one of the 6 factors of quality (eg, safe, timely, equitable, patient-centered, effective, and efficient). Analysis suggests that right-sizing documentation for optimal care quality requires continued efforts to reinforce the value and need of nursing documentation as a primary data source. Continued practice and research efforts are needed to reframe nursing documentation's essential role in benefiting a patient's current and future health care needs.
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Affiliation(s)
- Tiffany Kelley
- Healthcare Innovation Online Graduate Certificate Program, Nursing and Engineering Innovation Center, University of Connecticut, School of Nursing, Storrs, CT, USA; iCare Nursing Solutions, Boston, MA, USA; Nightingale Apps, Boston, MA, USA.
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4
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Ang L, Lin YK, Schroeder LF, Huang Y, DeGeorge CA, Arnold P, Akanbi F, Knotts S, DuBois E, Desbrough N, Qu Y, Freeman R, Esfandiari NH, Pop-Busui R, Gianchandani R. Feasibility and Performance of Continuous Glucose Monitoring to Guide Computerized Insulin Infusion Therapy in Cardiovascular Intensive Care Unit. J Diabetes Sci Technol 2024; 18:562-569. [PMID: 38563491 PMCID: PMC11089859 DOI: 10.1177/19322968241241005] [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: 04/04/2024]
Abstract
BACKGROUND We evaluated the feasibility of real-time continuous glucose monitoring (CGM) for titrating continuous intravenous insulin infusion (CII) to manage hyperglycemia in postoperative individuals in the cardiovascular intensive care unit and assessed their accuracy, nursing acceptance, and postoperative individual satisfaction. METHODS Dexcom G6 CGM devices were applied to 59 postsurgical patients with hyperglycemia receiving CII. A hybrid approach combining CGM with periodic point-of-care blood glucose (POC-BG) tests with two phases (initial-ongoing) of validation was used to determine CGM accuracy. Mean and median absolute relative differences and Clarke Error Grid were plotted to evaluate the CGM accuracy. Surveys of nurses and patients on the use of CGMs experience were conducted and results were analyzed. RESULTS In this cohort (mean age 64, 32% female, 32% with diabetes) with 864 paired POC-BG and CGM values analyzed, mean and median absolute relative difference between POC-BG and CGM values were 13.2% and 9.8%, respectively. 99.7% of paired CGM and POC-BG were in Zones A and B of the Clarke Error Grid. Responses from nurses reported CGMs being very or quite convenient (n = 28; 93%) and it was favored over POC-BG testing (n = 28; 93%). Majority of patients (n = 42; 93%) reported their care process using CGM as being good or very good. CONCLUSION This pilot study demonstrates the feasibility, accuracy, and nursing convenience of adopting CGM via a hybrid approach for insulin titration in postoperative settings. These findings provide robust rationale for larger confirmatory studies to evaluate the benefit of CGM in postoperative care to improve workflow, enhance health outcomes, and cost-effectiveness.
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Affiliation(s)
- Lynn Ang
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Yu Kuei Lin
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Lee F. Schroeder
- Department of Pathology, University of
Michigan, Ann Arbor, MI, USA
| | - Yiyuan Huang
- Department of Biostatistics, University
of Michigan, Ann Arbor, MI, USA
| | - Christina A. DeGeorge
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Patrick Arnold
- Department of Pharmacy, University of
Michigan, Ann Arbor, MI, USA
| | - Folake Akanbi
- Division of Endocrinology and
Metabolism, Department of Medicine, Michigan State University, East Lansing, MI,
USA
| | - Sharon Knotts
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Elizabeth DuBois
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Nicole Desbrough
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Yunyan Qu
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Regi Freeman
- Michigan Department of Nursing,
University of Michigan, Ann Arbor, MI, USA
| | - Nazanene H. Esfandiari
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
| | - Roma Gianchandani
- Division of Metabolism, Endocrinology
& Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor,
MI, USA
- Department of Medicine, Division of
Endocrinology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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5
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Price C, Callahan KE, Aloi JA, Usoh CO. Continuous Glucose Monitoring in Older Adults: What We Know and What We Have Yet to Learn. J Diabetes Sci Technol 2024; 18:577-583. [PMID: 38454549 PMCID: PMC11089865 DOI: 10.1177/19322968241234651] [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: 03/09/2024]
Abstract
OBJECTIVE To assess the growing use of continuous glucose monitoring (CGM) systems by older adults and explore additional areas integration that could benefit adults with frailty. BACKGROUND The use of CGM devices has expanded rapidly in the last decade. This has been supported by substantial data showing significant benefit in glycemic metrics: hemoglobin A1c improvements, less hypoglycemia, and improved quality of life. However, sub-populations, such as older persons, exist where available data are limited. Furthermore, frail older adults represent a heterogeneous population with their own unique challenges to the management of diabetes. This group has some of the poorest outcomes related to the sequela of diabetes. For example, hypoglycemia resulting in significant morbidity and mortality is more frequent in older person with diabetes than in younger persons with diabetes. METHOD We present a concise literature review on CGM use in the older adult as well as expand upon glycemic and nonglycemic benefits of CGM for patients, caregivers, and providers. Retrospective analysis of inpatient glycemic data of 16,935 older adults with Type 2 diabetes mellitus at Atrium Health Wake Forest Baptist indicated those with fraility managed with insulin or sulfonylurea had the highest rates of delirium (4.8%), hypoglycemia (3.5%), cardiovascular complications (20.2%) and ED visits/hospitalizatoins (49%). In addition, we address special consideration of specific situations including inpatient, palliative and long term care settings. CONCLUSION This review article summarizes the available data for CGM use in older adults, discusses the benefits and obstacles with CGM use in this population, and identifies areas of future research needed for improved delivery of care to older persons with diabetes.
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Affiliation(s)
- Catherine Price
- Section on Endocrinology,
Diabetes and Metabolism, Department of Internal Medicine, School of
Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Kathryn E. Callahan
- Section on Gerontology and
Geriatric Medicine, Department of Internal Medicine, School of Medicine,
Wake Forest University, Winston-Salem, NC, USA
| | - Joseph A. Aloi
- Section on Endocrinology,
Diabetes and Metabolism, Department of Internal Medicine, School of
Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Chinenye O. Usoh
- Section on Endocrinology,
Diabetes and Metabolism, Department of Internal Medicine, School of
Medicine, Wake Forest University, Winston-Salem, NC, USA
- Endocrinology, Medicine Service,
W. G. (Bill) Hefner VA Medical Center, Salisbury, NC, USA
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6
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Baker M, Lauterwasser S, Valenti C, Kallenberger M, Stolte H. Evaluation of a hybrid protocol using continuous glucose monitoring and point-of-care testing in non-critically ill patients in a community hospital. Am J Health Syst Pharm 2024; 81:e261-e267. [PMID: 38146957 DOI: 10.1093/ajhp/zxad332] [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] [Received: 12/20/2023] [Indexed: 12/27/2023] Open
Abstract
PURPOSE Inpatient glycemic management typically involves use of point-of-care (POC) glucose measurements to inform insulin dosing decisions. This study evaluated a hybrid monitoring protocol using real-time continuous glucose monitoring (rtCGM) supplemented with POC testing at a community hospital. METHODS Adult inpatients receiving POC glucose testing were monitored using rtCGM in a telemetry unit. The hybrid monitoring protocol required a once-daily POC test but otherwise primarily relied on rtCGM values for insulin dosing decisions. Outcomes assessment included surveillance error grid (SEG) and Clarke Error Grid (CEG) analysis results, the mean absolute relative difference (MARD) for available rtCGM-POC value pairs before and after study protocol application, the number of POC tests avoided, and the number of hypoglycemic events involving a blood glucose value of <70 mg/dL identified by rtCGM and POC values. RESULTS Data were collected from 30 inpatients (the mean age was 69.4 years, 77% were female, 80% had type 2 diabetes, and 37% were at-home insulin users). With the protocol applied, a total of 202 rtCGM-POC pairs produced a MARD of 12.5%. SEG analysis showed 2 pairs in the "moderate" risk category, with all other pairs in the "none" or "slight" risk categories. CEG analysis showed 99% of paired values to be in the clinically acceptable range. Six hypoglycemic events in 5 patients were resolved without incident. Three hundred three POC tests were avoided, a 60% reduction for the study duration. CONCLUSION Use of a hybrid monitoring protocol of rtCGM and POC testing in a community hospital demonstrated sustained rtCGM accuracy and was found to reduce the frequency of POC testing to manage inpatient glycemia.
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Affiliation(s)
- Matt Baker
- North Kansas City Hospital, North Kansas City, MO, USA
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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; 17:1527-1552. [PMID: 37592726 PMCID: PMC10658683 DOI: 10.1177/19322968231191104] [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: 08/19/2023]
Abstract
Diabetes Technology Society organized an expert consensus panel to develop metrics for research in the use of continuous glucose monitors (CGMs) in a hospital setting. The experts met virtually in small groups both before and after an April 13, 2023 virtual meeting of the entire panel. The goal of the panel was to develop consensus definitions in anticipation of greater use of CGMs in hospital settings in the future. Establishment of consensus definitions of inpatient analytical metrics will be easier to compare outcomes between studies. Panelists defined terms related to 10 dimensions of measurements related to the use of CGMs including (1) hospital hypoglycemia, (2) hospital hyperglycemia, (3) hospital time in range, (4) hospital glycemic variability, (5) hospital glycemia risk index, (6) accuracy of CGM devices and reference methods for CGMs in the hospital, (7) meaningful time blocks for hospital glycemic goals, (8) hospital CGM data sufficiency, (9) using CGM data for insulin dosing, and (10) miscellaneous factors. The panelists voted on 51 proposed recommendations. Based on the panel vote, 51 recommendations were classified as either strong (43) or mild (8). Additional research is needed on CGM performance in the hospital. This consensus report is intended to support that type of research intended to improve outcomes for hospitalized people with diabetes.
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Affiliation(s)
- Elias K. Spanakis
- Baltimore VA Medical Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Curtiss B. Cook
- Division of Endocrinology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Kristen Kulasa
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Joseph A. Aloi
- Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA
| | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Georgia Davis
- Emory University School of Medicine, Atlanta, GA, USA
| | - Kathleen M. Dungan
- Division of Endocrinology, Diabetes & Metabolism, The Ohio State University, Columbus, OH, USA
| | | | | | | | - Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | | | - Tiffany Tian
- Diabetes Technology Society, Burlingame, CA, USA
| | | | | | - David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
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8
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Bellido V, Freckman G, Pérez A, Galindo RJ. Accuracy and Potential Interferences of Continuous Glucose Monitoring Sensors in the Hospital. Endocr Pract 2023; 29:919-927. [PMID: 37369291 DOI: 10.1016/j.eprac.2023.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/15/2023] [Accepted: 06/19/2023] [Indexed: 06/29/2023]
Abstract
For years, the standard of care for monitoring dysglycemia in hospitalized patients was capillary blood glucose (CBG) testing with point-of-care glucose meters. Recently, there has been a revolution in novel factory-calibrated continuous glucose monitoring (CGM) systems. Newer CGMs are smaller and less expensive, have improved accuracy and longer wear time, and do not require fingerstick CBG for calibration, resulting in increased utilization in ambulatory settings. Consequently, hospitals have noticed increased usability of CGMs among hospitalized patients and expect a progressive continued increase. During the COVID-19 pandemic, there was a critical need for innovative approaches to glycemic monitoring, with several pilot implementation projects using CGM in the intensive care unit and non-intensive care unit settings, further boosting the evidence in this area. Hence, recent guidelines have provided recommendations for the use of CGM in specific hospital scenarios and highlighted the potential of CGM to overcome CBG limitations for glucose monitoring in the inpatient setting. In this review, we provide the following: 1) an up-to-date review of the accuracy of the newer CGMs in hospitalized patients, 2) a discussion of standards for CGM accuracy metrics, 3) a contemporary overview of potential interferences that may cause inaccuracies or poor CGM performance, and 4) required steps for full regulatory approval of CGMs in the hospital and future research steps to advance the field forward.
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Affiliation(s)
- Virginia Bellido
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen del Rocío, Sevilla, Spain, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
| | - Guido Freckman
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Antonio Pérez
- Servicio de Endocrinología y Nutrición. Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, Universitat Autònoma de Barcelona. CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, España
| | - Rodolfo J Galindo
- University of Miami Miller School of Medicine, Division of Endocrinology, Diabetes and Metabolism, Miami, Florida.
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9
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Zelada H, Perez-Guzman MC, Chernavvsky DR, Galindo RJ. Continuous glucose monitoring for inpatient diabetes management: an update on current evidence and practice. Endocr Connect 2023; 12:e230180. [PMID: 37578799 PMCID: PMC10563639 DOI: 10.1530/ec-23-0180] [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] [Received: 05/10/2023] [Accepted: 08/14/2023] [Indexed: 08/15/2023]
Abstract
Over the last few years, several exciting changes in continuous glucose monitoring (CGM) technology have expanded its use and made CGM the standard of care for patients with type 1 and type 2 diabetes using insulin therapy. Consequently, hospitals started to notice increased use of these devices in their hospitalized patients. Furthermore during the coronavirus disease 2019 (COVID) pandemic, there was a critical need for innovative approaches to glycemic monitoring, and several hospitals started to implement CGM protocols in their daily practice. Subsequently, a plethora of studies have demonstrated the efficacy and safety of CGM use in the hospital, leading to clinical practice guideline recommendations. Several studies have also suggested that CGM has the potential to become the standard of care for some hospitalized patients, overcoming the limitations of current capillary glucose testing. Albeit, there is a need for more studies and particularly regulatory approval. In this review, we provide a historical overview of the evolution of glycemic monitoring in the hospital and review the current evidence, implementation protocols, and guidance for the use of CGM in hospitalized patients.
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Affiliation(s)
- Henry Zelada
- Division of Endocrinology, Diabetes and Metabolism, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, USA
| | | | - Daniel R Chernavvsky
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Rodolfo J Galindo
- Division of Endocrinology, Diabetes and Metabolism, University of Miami Miller School of Medicine. Miami, Florida, USA
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10
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Roos J, Schürch D, Frei A, Lagger S, Schwenkglenks M, Vogt A, Herzig D, Bally L. Time requirements for perioperative glucose management using fully closed-loop versus standard insulin therapy: A proof-of-concept time-motion study. Diabet Med 2023; 40:e15116. [PMID: 37052409 DOI: 10.1111/dme.15116] [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: 10/12/2022] [Revised: 03/24/2023] [Accepted: 04/12/2023] [Indexed: 04/14/2023]
Abstract
AIMS To compare the time required for perioperative glucose management using fully automated closed-loop versus standard insulin therapy. METHODS We performed a time-motion study to quantify the time requirements for perioperative glucose management with fully closed-loop (FCL) and standard insulin therapy applied to theoretical scenarios. Following an analysis of workflows in different periods of perioperative care in elective surgery patients receiving FCL or standard insulin therapy upon hospital admission (pre- and intra-operatively, at the intermediate care unit and general wards), the time of process-specific tasks was measured by shadowing hospital staff. Each task was measured 20 times and its average duration in combination with its frequency according to guidelines was used to calculate the cumulative staff time required for blood glucose management. Cumulative time was calculated for theoretical scenarios consisting of elective minor and major abdominal surgeries (pancreatic surgery and sleeve gastrectomy, respectively) to account for the different care settings and lengths of stay. RESULTS The FCL insulin therapy reduced the time required for perioperative glucose management compared to standard insulin therapy, across all assessed care periods and for both perioperative pathways (range 2.1-4.5). For a major abdominal surgery, total time required was 248.5 min using FCL versus 753.9 min using standard insulin therapy. For a minor abdominal surgery, total time required was 68.6 min and 133.2 min for FCL and standard insulin therapy, respectively. CONCLUSIONS The use of fully automated closed-loop insulin delivery for inpatient glucose management has the potential to alleviate the workload of diabetes management in an environment with adequately trained staff.
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Affiliation(s)
- Jonathan Roos
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Daniel Schürch
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Andreas Frei
- Freelance Health Economist, Arlesheim, Switzerland
| | - Sophie Lagger
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Matthias Schwenkglenks
- Department of Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- Institute of Pharmaceutical Medicine (ECPM), University of Basel, Basel, Switzerland
| | - Andreas Vogt
- Department of Anaesthesiology and Pain Medicine, lnselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - David Herzig
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
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11
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Bellido V, Aguilera E, Cardona-Hernandez R, Diaz-Soto G, González Pérez de Villar N, Picón-César MJ, Ampudia-Blasco FJ. Expert Recommendations for Using Time-in-Range and Other Continuous Glucose Monitoring Metrics to Achieve Patient-Centered Glycemic Control in People With Diabetes. J Diabetes Sci Technol 2023; 17:1326-1336. [PMID: 35470692 PMCID: PMC10563535 DOI: 10.1177/19322968221088601] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
New metrics for assessing glycemic control beyond HbA1c have recently emerged due to the increasing use of continuous glucose monitoring (CGM) in diabetes clinical practice. Among them, time in range (TIR) has appeared as a simple and intuitive metric that correlates inversely with HbA1c and has also been newly linked to the risk of long-term diabetes complications. The International Consensus on Time in Range established a series of target glucose ranges (TIR, time below range and time above range) and recommendations for time spent within these ranges for different diabetes populations. These parameters should be evaluated together with the ambulatory glucose profile (AGP). Using standardized visual reporting may help people with diabetes and healthcare professionals in the evaluation of glucose control in frequent clinical situations. The objective of the present review is to provide practical insights to quick interpretation of patient-centered metrics based on flash glucose monitoring data, as well as showing some visual examples of common clinical situations and giving practical recommendations for their management.
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Affiliation(s)
- Virginia Bellido
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Eva Aguilera
- Endocrinology and Nutrition Department, Health Sciences Research Institute and University, Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Gonzalo Diaz-Soto
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Universidad de Valladolid, Valladolid, Spain
| | | | - María J. Picón-César
- Endocrinology and Nutrition Department, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco Javier Ampudia-Blasco
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
- INCLIVA Research Foundation, Valencia, Spain
- CIBERDEM, Madrid, Spain
- Universitat de Valencia, Valencia, Spain
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12
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Aleppo G, Chmiel R, Zurn A, Bandoske R, Creamer P, Neubauer N, Wong J, Andrade SB, Hauptman A. Integration of Continuous Glucose Monitoring Data into an Electronic Health Record System: Single-Center Implementation. J Diabetes Sci Technol 2023:19322968231196168. [PMID: 37644816 DOI: 10.1177/19322968231196168] [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: 08/31/2023]
Abstract
Managing data from continuous glucose monitoring (CGM) systems presents challenges to health care provider teams that rely on the electronic health record (EHR) during patient visits. A method of integrating CGM data with the EHR that relies on the Dexcom API was developed by Northwestern Medicine and Dexcom to address these challenges. Here, we describe the data management steps and user interface of the integrated system. Providers can access patients' historical and latest daily CGM data in the form of modal day plots and stacked columns showing time in various glucose concentration ranges. The integration facilitates the acquisition, storage, analysis, and display of CGM data within an EHR system and may be appropriate for deployment in other health care facilities.
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Affiliation(s)
| | | | | | | | | | | | - Jo Wong
- Dexcom, Inc., San Diego, CA, USA
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13
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Guerrero-Arroyo L, Faulds E, Perez-Guzman MC, Davis GM, Dungan K, Pasquel FJ. Continuous Glucose Monitoring in the Intensive Care Unit. J Diabetes Sci Technol 2023; 17:667-678. [PMID: 37081830 PMCID: PMC10210113 DOI: 10.1177/19322968231169522] [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: 04/22/2023]
Abstract
Traditionally, the care of critically ill patients with diabetes or stress hyperglycemia in the intensive care unit (ICU) demands the use of continuous intravenous insulin (CII) therapy to achieve narrow glycemic targets. To reduce the risk of iatrogenic hypoglycemia and to achieve glycemic targets during CII, healthcare providers (HCP) rely on hourly point-of-care (POC) arterial or capillary glucose tests obtained with glucose monitors. The burden of this approach, however, was evident during the beginning of the pandemic when the immediate reduction in close contact interactions between HCP and patients with COVID-19 was necessary to avoid potentially life-threatening exposures. Taking advantage of the advancements in current diabetes technologies, including continuous glucose monitoring (CGM) devices integrated with digital health tools for remote monitoring, HCP implemented novel protocols in the ICU to care for patients with COVID-19 and hyperglycemia. We provide an overview of research conducted in the ICU setting with the use of initial CGM technology to current devices and summarize our recent experience in the ICU.
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Affiliation(s)
- Lizda Guerrero-Arroyo
- Division of Endocrinology, Diabetes,
and Metabolism, Emory University School of Medicine, Atlanta, GA, USA
| | - Eileen Faulds
- Division of Endocrinology, Diabetes and
Metabolism, The Ohio State University College of Medicine, Columbus, OH, USA
| | - M. Citlalli Perez-Guzman
- Division of Endocrinology, Diabetes,
and Metabolism, Emory University School of Medicine, Atlanta, GA, USA
| | - Georgia M. Davis
- Division of Endocrinology, Diabetes,
and Metabolism, Emory University School of Medicine, Atlanta, GA, USA
| | - Kathleen Dungan
- Division of Endocrinology, Diabetes and
Metabolism, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Francisco J. Pasquel
- Division of Endocrinology, Diabetes,
and Metabolism, Emory University School of Medicine, Atlanta, GA, USA
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14
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Faulds ER, Dungan KM, McNett M, Jones L, Poindexter N, Exline M, Pattison J, Pasquel FJ. Nursing Perspectives on the Use of Continuous Glucose Monitoring in the Intensive Care Unit. J Diabetes Sci Technol 2023; 17:649-655. [PMID: 37081831 PMCID: PMC10210097 DOI: 10.1177/19322968231170616] [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: 04/22/2023]
Abstract
BACKGROUND The COVID-19 pandemic necessitated rapid implementation of continuous glucose monitoring (CGM) in the intensive care unit (ICU). Although rarely reported, perceptions from nursing staff who used the systems are critical for successful implementation and future expanded use of CGM in the inpatient setting. METHODS A 22-item survey focused on CGM use was distributed to ICU nurses at two large academic medical centers in the United States in 2022. Both institutions initiated inpatient CGM in the spring of 2020 using the same CGM+point of care (POC) hybrid protocol. The survey employed a 1- to 5-point Likert scale regarding CGM sensor insertion, accuracy, acceptability, usability, training, and perceptions on workload. RESULTS Of the 71 surveys completed, 68 (96%) nurses reported they cared for an ICU patient on CGM and 53% reported they had independently performed CGM sensor insertion. The ICU nurses overwhelmingly reported that CGM was accurate, reduced their workload, provided safer patient care, and was preferred over POC glucose testing alone. Interestingly, nearly half of nurses (49%) reported that they considered trend arrows in dosing decisions although trends were not included in the CGM+POC hybrid protocol. Nurses received training through multiple modalities, with the majority (80%) of nurses reporting that CGM training was sufficient and prepared them for its use. CONCLUSION These results confirm nursing acceptance and preference for CGM use within a hybrid glucose monitoring protocol in the ICU setting. These data lay a blueprint for successful implementation and training strategies for future widespread use.
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Affiliation(s)
- Eileen R. Faulds
- The Ohio State University College of Nursing,
Columbus, OH, USA
- The Ohio State University Wexner Medical
Center, Columbus, OH, USA
| | - Kathleen M. Dungan
- The Ohio State University Wexner Medical
Center, Columbus, OH, USA
- Division of Endocrinology, Diabetes and
Metabolism, Department of Internal Medicine, The Ohio State University College of Medicine,
Columbus, OH, USA
| | - Molly McNett
- The Ohio State University College of Nursing,
Columbus, OH, USA
- Implementation Science, Helene Fuld Health
Trust National Institute for Evidence-based Practice in Nursing and Healthcare, The Ohio
State University College of Nursing, Columbus, OH, USA
| | - Laureen Jones
- Critical Care Nursing, The Ohio State
University Wexner Medical Center, Columbus, OH, USA
| | - Norma Poindexter
- Division of Critical Care, Grady Health
System, Atlanta, GA, USA
| | - Matthew Exline
- Division of Critical Care Medicine, The Ohio
State University Medical Center, Columbus, OH, USA
| | | | - Francisco J. Pasquel
- Division of Endocrinology, Emory University
School of Medicine, Atlanta, GA, USA
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15
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Jaques-Albuquerque LT, Dos Anjos-Martins E, Torres-Nunes L, Valério-Penha AG, Coelho-Oliveira AC, da Silva Sarandy VL, Reis-Silva A, Seixas A, Bernardo-Filho M, Taiar R, de Sá-Caputo DC. Effectiveness of Using the FreeStyle Libre ® System for Monitoring Blood Glucose during the COVID-19 Pandemic in Diabetic Individuals: Systematic Review. Diagnostics (Basel) 2023; 13:diagnostics13081499. [PMID: 37189600 DOI: 10.3390/diagnostics13081499] [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: 03/15/2023] [Revised: 03/31/2023] [Accepted: 04/10/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Artificial Intelligence (AI) is an area of computer science/engineering that is aiming to spread technological systems. The COVID-19 pandemic caused economic and public health turbulence around the world. Among the many possibilities for using AI in the medical field is FreeStyle Libre® (FSL), which uses a disposable sensor inserted into the user's arm, and a touchscreen device/reader is used to scan and retrieve other continuous monitoring of glucose (CMG) readings. The aim of this systematic review is to summarize the effectiveness of FSL blood glucose monitoring during the COVID-19 pandemic. METHODS This systematic review was carried out in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) and was registered in the international prospective register of systematic reviews (PROSPERO: CRD42022340562). The inclusion criteria considered studies involving the use of the FSL device during the COVID-19 pandemic and published in English. No publication date restrictions were set. The exclusion criteria were abstracts, systematic reviews, studies with patients with other diseases, monitoring with other equipment, patients with COVID-19, and bariatrics patients. Seven databases were searched (PubMed, Scopus, Embase, Web of Science, Scielo, PEDro and Cochrane Library). The ACROBAT-NRSI tool (A Cochrane Risk of Bias Assessment Tool for Non-Randomized Studies) was used to evaluate the risk of bias in the selected articles. RESULTS A total of 113 articles were found. Sixty-four were excluded because they were duplicates, 39 were excluded after reading the titles and abstracts, and twenty articles were considered for full reading. Of the 10 articles analyzed, four articles were excluded because they did not meet the inclusion criteria. Thus, six articles were included in the current systematic review. It was observed that among the selected articles, only two were classified as having serious risk of bias. It was shown that FSL had a positive impact on glycemic control and on reducing the number of individuals with hypoglycemia. CONCLUSION The findings suggest that the implementation of FSL during COVID-19 confinement in this population can be confidently stated to have been effective in diabetes mellitus patients.
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Affiliation(s)
- Luelia Teles Jaques-Albuquerque
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
| | - Elzi Dos Anjos-Martins
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
- Mestrado Profissional em Saúde, Medicina Laboratorial e Tecnologia Forense, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
| | - Luiza Torres-Nunes
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
- Programa de Pós-Graduação em Fisiopatologia Clínica e Experimental, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
| | - Ana Gabriellie Valério-Penha
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
| | - Ana Carolina Coelho-Oliveira
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
- Mestrado Profissional em Saúde, Medicina Laboratorial e Tecnologia Forense, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
| | - Viviani Lopes da Silva Sarandy
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
| | - Aline Reis-Silva
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
- Programa de Pós-Graduação em Ciências Médicas, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
| | - Adérito Seixas
- Escola Superior de Saúde Fernando Pessoa, 4200-256 Porto, Portugal
| | - Mario Bernardo-Filho
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
| | - Redha Taiar
- MATériaux et Ingénierie Mécanique (MATIM), Université de Reims Champagne Ardenne, 51100 Reims, France
| | - Danúbia Cunha de Sá-Caputo
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
- Mestrado Profissional em Saúde, Medicina Laboratorial e Tecnologia Forense, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil
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16
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Faulds ER, Dungan KM, McNett M. Implementation of Continuous Glucose Monitoring in Critical Care: A Scoping Review. Curr Diab Rep 2023; 23:69-87. [PMID: 37052790 PMCID: PMC10098233 DOI: 10.1007/s11892-023-01503-5] [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] [Accepted: 02/22/2023] [Indexed: 04/14/2023]
Abstract
PURPOSE OF REVIEW The aim of this review is to identify the implementation approaches, strategies, and outcomes for continuous glucose monitoring (CGM) in the intensive care unit (ICU). Medline and Web of Science databases were searched to report relevant literature published between September 12, 2016 and September 12, 2021. Implementation outcomes and strategies, defined by the Expert Recommendations for Implementing Change (ERIC) project, were extracted. RECENT FINDINGS Of the 324 titles reviewed, 16 articles were included in the review. While no studies were identified as implementation research, 14 of 16 identified implementation strategies that aligned with ERIC definitions. Included studies described a multi-disciplinary approach. Clinical outcomes included Mean Absolute Relative Difference (MARD), ranging from 7.5 to 15.3%, and 33-71% reduction in frequency of point-of-care (POC) blood glucose monitoring (BGM) using hybrid protocols. This scoping review provides valuable insight into the process of CGM implementation in the ICU. Continued research should include implementation outcomes to inform widespread utilization.
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Affiliation(s)
- Eileen R Faulds
- The Ohio State University College of Nursing, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.
| | - Kathleen M Dungan
- Department of Internal Medicine, Division of Endocrinology, The Ohio State University College of Medicine, The Ohio State University Wexner Medical Center, Diabetes & Metabolism, Columbus, OH, USA
| | - Molly McNett
- Implementation Science, Helene Fuld Health Trust National Institute for EBP, The Ohio State University College of Nursing, Columbus, OH, USA
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17
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Dumitrascu AG, Perry MF, Boone RJ, Guzman MP, Chirila RM, McNally AW, Colibaseanu DT, Meek SE, Ball CT, White LJ, Chindris AM. Continuous Glucose Monitoring for Patients with COVID-19 Pneumonia: Initial Experience at a Tertiary Care Center. Endocr Pract 2023; 29:155-161. [PMID: 36566985 PMCID: PMC9773786 DOI: 10.1016/j.eprac.2022.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/30/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Patients hospitalized with COVID-19 and hyperglycemia require frequent glucose monitoring, usually performed with glucometers. Continuous glucose monitors (CGMs) are common in the outpatient setting but not yet approved for hospital use. We evaluated CGM accuracy, safety for insulin dosing, and CGM clinical reliability in 20 adult patients hospitalized with COVID-19 and hyperglycemia. METHODS Study patients were fitted with a remotely monitored CGM. CGM values were evaluated against glucometer readings. The CGM sensor calibration was performed if necessary. CGM values were used to dose insulin, without glucometer confirmation. RESULTS CGM accuracy against glucometer, expressed as mean absolute relative difference (MARD), was calculated using 812 paired glucometer-CGM values. The aggregate MARD was 10.4%. For time in range and grades 1 and 2 hyperglycemia, MARD was 11.4%, 9.4%, and 9.1%, respectively, with a small variation between medical floors and intensive care units. There was no MARD correlation with mean arterial blood pressure levels, oxygen saturation, daily hemoglobin levels, and glomerular filtration rates. CGM clinical reliability was high, with 99.7% of the CGM values falling within the "safe" zones of Clarke error grid. After CGM placement, the frequency of glucometer measurements decreased from 5 to 3 and then 2 per day, reducing nurse presence in patient rooms and limiting viral exposure. CONCLUSION With twice daily, on-demand calibration, the inpatient CGM use was safe for insulin dosing, decreasing the frequency of glucometer fingersticks. For glucose levels >70 mg/dL, CGMs showed adequate accuracy, without interference from vital and laboratory values.
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Affiliation(s)
- Adrian G Dumitrascu
- Division of Hospital Internal Medicine, Mayo Clinic Florida, Jacksonville, Florida.
| | - Michelle F Perry
- Division of Endocrinology, Mayo Clinic Florida, Jacksonville, Florida
| | - Rebecca J Boone
- Division of Endocrinology, Mayo Clinic Florida, Jacksonville, Florida
| | | | - Razvan M Chirila
- Division of International and Executive Medicine, Mayo Clinic Florida, Jacksonville, Florida
| | - Allyson W McNally
- Division of Endocrinology, Mayo Clinic Florida, Jacksonville, Florida
| | | | - Shon E Meek
- Division of Endocrinology, Mayo Clinic Florida, Jacksonville, Florida
| | - Colleen T Ball
- Division of Clinical Trials and Biostatistics, Mayo Clinic Florida, Jacksonville, Florida
| | - Launia J White
- Division of Clinical Trials and Biostatistics, Mayo Clinic Florida, Jacksonville, Florida
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18
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McCall AL, Lieb DC, Gianchandani R, MacMaster H, Maynard GA, Murad MH, Seaquist E, Wolfsdorf JI, Wright RF, Wiercioch W. Management of Individuals With Diabetes at High Risk for Hypoglycemia: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2023; 108:529-562. [PMID: 36477488 DOI: 10.1210/clinem/dgac596] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Indexed: 12/12/2022]
Abstract
CONTEXT Hypoglycemia in people with diabetes is common, especially in those taking medications such as insulin and sulfonylureas (SU) that place them at higher risk. Hypoglycemia is associated with distress in those with diabetes and their families, medication nonadherence, and disruption of life and work, and it leads to costly emergency department visits and hospitalizations, morbidity, and mortality. OBJECTIVE To review and update the diabetes-specific parts of the 2009 Evaluation and Management of Adult Hypoglycemic Disorders: Endocrine Society Clinical Practice Guideline and to address developing issues surrounding hypoglycemia in both adults and children living with diabetes. The overriding objectives are to reduce and prevent hypoglycemia. METHODS A multidisciplinary panel of clinician experts, together with a patient representative, and methodologists with expertise in evidence synthesis and guideline development, identified and prioritized 10 clinical questions related to hypoglycemia in people living with diabetes. Systematic reviews were conducted to address all the questions. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess the certainty of evidence and make recommendations. RESULTS The panel agreed on 10 questions specific to hypoglycemia risk and prevention in people with diabetes for which 10 recommendations were made. The guideline includes conditional recommendations for use of real-time continuous glucose monitoring (CGM) and algorithm-driven insulin pumps in people with type 1 diabetes (T1D), use of CGM for outpatients with type 2 diabetes at high risk for hypoglycemia, use of long-acting and rapid-acting insulin analogs, and initiation of and continuation of CGM for select inpatient populations at high risk for hypoglycemia. Strong recommendations were made for structured diabetes education programs for those at high risk for hypoglycemia, use of glucagon preparations that do not require reconstitution vs those that do for managing severe outpatient hypoglycemia for adults and children, use of real-time CGM for individuals with T1D receiving multiple daily injections, and the use of inpatient glycemic management programs leveraging electronic health record data to reduce the risk of hypoglycemia. CONCLUSION The recommendations are based on the consideration of critical outcomes as well as implementation factors such as feasibility and values and preferences of people with diabetes. These recommendations can be used to inform clinical practice and health care system improvement for this important complication for people living with diabetes.
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Affiliation(s)
- Anthony L McCall
- University of Virginia Medical School, Department of Medicine, Division of Endocrinology and Metabolism, Charlottesville, VA 22901, USA
| | - David C Lieb
- Eastern Virginia Medical School, Division of Endocrine and Metabolic Disorders, Department of Medicine, Norfolk, VA 23510, USA
| | | | | | | | - M Hassan Murad
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55905, USA
| | - Elizabeth Seaquist
- Diabetes Center and the Division of Endocrinology & Metabolism, Minneapolis, MN 55455, USA
| | - Joseph I Wolfsdorf
- Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Wojtek Wiercioch
- McMaster University GRADE Centre and Michael G. DeGroote Cochrane Canada Centre Department of Health Research Methods, Evidence, and Impact, Hamilton, ON, L8S 4L8, Canada
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19
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 16. Diabetes Care in the Hospital: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S267-S278. [PMID: 36507644 PMCID: PMC9810470 DOI: 10.2337/dc23-s016] [Citation(s) in RCA: 68] [Impact Index Per Article: 68.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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20
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Pattison J, Dungan KM, Faulds ER. Supporting the Use of a Person's Own Diabetes Technology in the Inpatient Setting. Diabetes Spectr 2022; 35:398-404. [PMID: 36561658 PMCID: PMC9668718 DOI: 10.2337/dsi22-0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The use of diabetes technology, including insulin pumps, continuous glucose monitoring devices, and automated insulin delivery systems, has increased significantly in recent years. As more people with diabetes adopt technology in the outpatient setting, we are seeing these devices more frequently in the inpatient setting. This review offers best-practice guidelines for the continuation of personal diabetes technology use in the inpatient setting. It describes policy and guideline stipulations, roles and responsibilities, and device- and brand-specific considerations. Although these devices are not approved for inpatient use by the U.S. Food and Drug Administration, there is general expert consensus that the continuation of personal diabetes devices during hospitalization is appropriate for patients who have sufficient knowledge, are not critically ill, and retain sufficient mental capacity during an acute illness. Health care systems and inpatient providers need to understand the benefits and limitations of personal diabetes technology use during hospitalization.
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Affiliation(s)
| | | | - Eileen R. Faulds
- Ohio State University College of Nursing and The Ohio State University Wexner Medical Center, Columbus, OH
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21
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Longo RR, Joshi R. The Devil Is in the Details: Use, Limitations, and Implementation of Continuous Glucose Monitoring in the Inpatient Setting. Diabetes Spectr 2022; 35:405-419. [PMID: 36561647 PMCID: PMC9668728 DOI: 10.2337/dsi22-0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Until recently, continuous glucose monitoring (CGM) systems were reserved for use in the outpatient setting or for investigational purposes in hospitalized patients. However, during the coronavirus disease 2019 pandemic, use of CGM in the inpatient setting has grown rapidly. This review outlines important details related to the accuracy, limitations, and implementation of, as well as necessary staff education for, inpatient CGM use and offers a glimpse into the future of CGM in the inpatient setting.
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Affiliation(s)
- Rebecca Rick Longo
- Lahey Hospital and Medical Center–Beth Israel Lahey Health, Burlington, MA
| | - Renu Joshi
- University of Pittsburgh Medical Center, Harrisburg, PA
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22
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Buschur EO, Faulds E, Dungan K. CGM in the Hospital: Is It Ready for Prime Time? Curr Diab Rep 2022; 22:451-460. [PMID: 35796882 PMCID: PMC9261155 DOI: 10.1007/s11892-022-01484-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/24/2022] [Indexed: 01/08/2023]
Abstract
PURPOSE OF REVIEW The use of continuous glucose monitoring (CGM) in the hospital setting is growing with more patients using these devices at home and when admitted to the hospital, especially during the COVID-19 pandemic. RECENT FINDINGS Historically, most evidence for CGM use in the inpatient setting was limited to small studies utilizing outdated CGM technology and analyzing accuracy of sensor measurements. Previous studies have shown reduced sensor accuracy during extreme hypo- or hyperglycemia, rapid fluctuations of glucose, compression of the sensor itself, and in those who are critically ill. Studies that are more recent have shown CGM to have adequate accuracy and may be effective in reducing hypoglycemia in hospitalized patients; some studies have also showed improvement in time in target glycemic range. Furthermore, CGM may reduce nursing workload, cost of inpatient care, and use of personal protective equipment and face-to-face patient care especially for patients during the COVID-19 pandemic. This review will describe the evidence for use of CGM in hospitalized critically ill or non-critically ill patients, address accuracy and safety considerations, and outline paths for future implementation.
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Affiliation(s)
- Elizabeth O. Buschur
- grid.261331.40000 0001 2285 7943Division of Endocrinology, Diabetes & Metabolism, The Ohio State University College of Medicine, 5th Floor McCampbell Hall, 1581 Dodd Drive, Columbus, OH 43210-1296 USA
| | - Eileen Faulds
- grid.261331.40000 0001 2285 7943Division of Endocrinology, Diabetes & Metabolism, The Ohio State University College of Medicine, 5th Floor McCampbell Hall, 1581 Dodd Drive, Columbus, OH 43210-1296 USA
- grid.261331.40000 0001 2285 7943The Ohio State University College of Nursing, Columbus, OH USA
| | - Kathleen Dungan
- grid.261331.40000 0001 2285 7943Division of Endocrinology, Diabetes & Metabolism, The Ohio State University College of Medicine, 5th Floor McCampbell Hall, 1581 Dodd Drive, Columbus, OH 43210-1296 USA
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23
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Huang J, Yeung AM, Nguyen KT, Xu NY, Preiser JC, Rushakoff RJ, Seley JJ, Umpierrez GE, Wallia A, Drincic AT, Gianchandani R, Lansang MC, Masharani U, Mathioudakis N, Pasquel FJ, Schmidt S, Shah VN, Spanakis EK, Stuhr A, Treiber GM, Klonoff DC. Hospital Diabetes Meeting 2022. J Diabetes Sci Technol 2022; 16:1309-1337. [PMID: 35904143 PMCID: PMC9445340 DOI: 10.1177/19322968221110878] [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: 11/17/2022]
Abstract
The annual Virtual Hospital Diabetes Meeting was hosted by Diabetes Technology Society on April 1 and April 2, 2022. This meeting brought together experts in diabetes technology to discuss various new developments in the field of managing diabetes in hospitalized patients. Meeting topics included (1) digital health and the hospital, (2) blood glucose targets, (3) software for inpatient diabetes, (4) surgery, (5) transitions, (6) coronavirus disease and diabetes in the hospital, (7) drugs for diabetes, (8) continuous glucose monitoring, (9) quality improvement, (10) diabetes care and educatinon, and (11) uniting people, process, and technology to achieve optimal glycemic management. This meeting covered new technology that will enable better care of people with diabetes if they are hospitalized.
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Affiliation(s)
| | | | | | - Nicole Y. Xu
- Diabetes Technology Society, Burlingame, CA, USA
| | | | | | | | | | - Amisha Wallia
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | - Umesh Masharani
- University of California San Francisco, San Francisco, CA, USA
| | | | | | | | - Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA
| | | | | | | | - David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
- David C. Klonoff, MD, FACP, FRCP (Edin), Fellow AIMBE, Diabetes Research Institute, Mills-Peninsula Medical Center, 100 South San Mateo Drive, Room 5147, San Mateo, CA 94401, USA.
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Korytkowski MT, Muniyappa R, Antinori-Lent K, Donihi AC, Drincic AT, Hirsch IB, Luger A, McDonnell ME, Murad MH, Nielsen C, Pegg C, Rushakoff RJ, Santesso N, Umpierrez GE. Management of Hyperglycemia in Hospitalized Adult Patients in Non-Critical Care Settings: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2022; 107:2101-2128. [PMID: 35690958 PMCID: PMC9653018 DOI: 10.1210/clinem/dgac278] [Citation(s) in RCA: 83] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Adult patients with diabetes or newly recognized hyperglycemia account for over 30% of noncritically ill hospitalized patients. These patients are at increased risk for adverse clinical outcomes in the absence of defined approaches to glycemic management. OBJECTIVE To review and update the 2012 Management of Hyperglycemia in Hospitalized Patients in Non-Critical Care Settings: An Endocrine Society Clinical Practice Guideline and to address emerging areas specific to the target population of noncritically ill hospitalized patients with diabetes or newly recognized or stress-induced hyperglycemia. METHODS A multidisciplinary panel of clinician experts, together with a patient representative and experts in systematic reviews and guideline development, identified and prioritized 10 clinical questions related to inpatient management of patients with diabetes and/or hyperglycemia. The systematic reviews queried electronic databases for studies relevant to the selected questions. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess the certainty of evidence and make recommendations. RESULTS The panel agreed on 10 frequently encountered areas specific to glycemic management in the hospital for which 15 recommendations were made. The guideline includes conditional recommendations for hospital use of emerging diabetes technologies including continuous glucose monitoring and insulin pump therapy; insulin regimens for prandial insulin dosing, glucocorticoid, and enteral nutrition-associated hyperglycemia; and use of noninsulin therapies. Recommendations were also made for issues relating to preoperative glycemic measures, appropriate use of correctional insulin, and diabetes self-management education in the hospital. A conditional recommendation was made against preoperative use of caloric beverages in patients with diabetes. CONCLUSION The recommendations are based on the consideration of important outcomes, practicality, feasibility, and patient values and preferences. These recommendations can be used to inform system improvement and clinical practice for this frequently encountered inpatient population.
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Affiliation(s)
- Mary T Korytkowski
- University of Pittsburgh, Division of Endocrinology, Department of Medicine, Pittsburgh, PA, USA
| | - Ranganath Muniyappa
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Amy C Donihi
- University of Pittsburgh School of Pharmacy, Department of Pharmacy and Therapeutics, Pittsburgh, PA, USA
| | - Andjela T Drincic
- University of Nebraska Medical Center, Endocrinology & Metabolism, Omaha, NE, USA
| | - Irl B Hirsch
- University of Washington Diabetes Institute, Seattle, WA, USA
| | - Anton Luger
- Medical University and General Hospital of Vienna, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Marie E McDonnell
- Brigham and Women’s Hospital and Harvard Medical School, Division of Endocrinology Diabetes and Hypertension, Boston, MA, USA
| | - M Hassan Murad
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | | | - Claire Pegg
- Diabetes Patient Advocacy Coalition, Tampa, FL, USA
| | - Robert J Rushakoff
- University of California, San Francisco, Department of Medicine, Division of Endocrinology and Metabolism, San Francisco, CA, USA
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25
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Xu NY, Nguyen KT, DuBord AY, Klonoff DC, Goldman JM, Shah SN, Spanakis EK, Madlock-Brown C, Sarlati S, Rafiq A, Wirth A, Kerr D, Khanna R, Weinstein S, Espinoza J. The Launch of the iCoDE Standard Project. J Diabetes Sci Technol 2022; 16:887-895. [PMID: 35533135 PMCID: PMC9264445 DOI: 10.1177/19322968221093662] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION The first meeting of the Integration of Continuous Glucose Monitor Data into the Electronic Health Record (iCoDE) project, organized by Diabetes Technology Society, took place virtually on January 27, 2022. METHODS Clinicians, government officials, data aggregators, attorneys, and standards experts spoke in panels and breakout groups. Three themes were covered: 1) why digital health data integration into the electronic health record (EHR) is needed, 2) what integrated continuously monitored glucose data will look like, and 3) how this process can be achieved in a way that will satisfy clinicians, healthcare organizations, and regulatory experts. RESULTS The meeting themes were addressed within eight sessions: 1) What Do Inpatient Clinicians Want to See With Integration of CGM Data into the EHR?, 2) What Do Outpatient Clinicians Want to See With Integration of CGM Data into the EHR?, 3) Why Are Data Standards and Guidances Useful?, 4) What Value Can Data Integration Services Add?, 5) What Are Examples of Successful Integration?, 6) Which Privacy, Security, and Regulatory Issues Must Be Addressed to Integrate CGM Data into the EHR?, 7) Breakout Group Discussions, and 8) Presentation of Breakout Group Ideas. CONCLUSIONS Creation of data standards and workflow guidance are necessary components of the Integration of Continuous Glucose Monitor Data into the Electronic Health Record (iCoDE) standard project. This meeting, which launched iCoDE, will be followed by a set of working group meetings intended to create the needed standard.
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Affiliation(s)
- Nicole Y. Xu
- Diabetes Technology Society,
Burlingame, CA, USA
| | | | | | - David C. Klonoff
- University of California, San
Francisco, San Francisco, CA, USA
- Mills-Peninsula Medical Center, San
Mateo, CA, USA
| | | | | | - Elias K. Spanakis
- Baltimore VA Medical Center, Baltimore,
MD, USA
- University of Maryland, Baltimore, MD,
USA
| | | | - Siavash Sarlati
- University of California, San
Francisco, San Francisco, CA, USA
- Anthem, Inc, Indianapolis, IN,
USA
| | - Azhar Rafiq
- National Aeronautics and Space
Administration, Washington, DC, USA
| | | | | | - Raman Khanna
- University of California, San
Francisco, San Francisco, CA, USA
| | | | - Juan Espinoza
- Division of General Pediatrics,
Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern
California, Los Angeles, CA, USA
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26
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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; 29:1-9. [PMID: 34845159 PMCID: PMC8711300 DOI: 10.1097/med.0000000000000693] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
PURPOSE OF REVIEW Continuous glucose monitoring (CGM) systems are Food and Drug Administration approved devices for the ambulatory setting; however, they remain investigational systems for inpatient use. This review summarizes the most recent and relevant literature on the use of continuous glucose monitoring in the hospital setting. RECENT FINDINGS CGM provides real-time glucose data that enable healthcare professionals to make proactive and timelier clinical decisions with regards to diabetes management. CGM devices appear to be safe and accurate systems for glucose monitoring in the hospital setting. Real-time CGM systems and glucose telemetry can decrease hypoglycemia and reduce hyperglycemia in hospitalized patients with diabetes. Remote glucose monitoring decreases the need of frequent Point-of-care checks and personal protective equipment use while also mitigating staff exposure risk which is timely in the advent of the COVID-19 pandemic. Although most nursing staff have limited exposure and training on CGM technology, early studies show that CGM use in the hospital is well received by nurses. SUMMARY Given the evidence in the current literature regarding CGM use in the hospital, CGM devices may be incorporated in the inpatient setting.
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Affiliation(s)
- Chikara Gothong
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine
| | - Lakshmi G. Singh
- Division of Endocrinology, Baltimore Veterans Affairs Medical Center, Baltimore
| | - Medha Satyarengga
- Center for Diabetes and Endocrinology, University of Maryland Shore Regional Health, Easton, Maryland, USA
| | - Elias K. Spanakis
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine
- Division of Endocrinology, Baltimore Veterans Affairs Medical Center, Baltimore
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Faulds ER, Boutsicaris A, Sumner L, Jones L, McNett M, Smetana KS, May CC, Buschur E, Exline MC, Ringel MD, Dungan K. Use of Continuous Glucose Monitor in Critically Ill COVID-19 Patients Requiring Insulin Infusion: An Observational Study. J Clin Endocrinol Metab 2021; 106:e4007-e4016. [PMID: 34100545 DOI: 10.1210/clinem/dgab409] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Indexed: 12/11/2022]
Abstract
CONTEXT The coronavirus disease 2019 (COVID-19) pandemic has created a need for remote blood glucose (BG) monitoring in the intensive care unit (ICU). OBJECTIVE To evaluate feasibility and patient safety of a hybrid monitoring strategy of point-of-care (POC) BG plus continuous glucose monitor (CGM) in the ICU. DESIGN Retrospective analysis. SETTING ICU of an academic medical center. PATIENTS Patients with COVID-19 on IV insulin. INTERVENTION After meeting initial validation criteria, CGM was used for IV insulin titration and POC BG was performed every 6 hours or as needed. MAIN OUTCOME MEASURES Outcomes included frequency of POC BG, workflow, safety, and accuracy measures. RESULTS The study included 19 patients, 18 with CGM data, mean age 58 years, 89% on mechanical ventilation, 37% on vasopressors, and 42% on dialysis. The median time to CGM validation was 137 minutes (interquartile range [IQR] 114-206). During IV insulin, the median number of POC values was 7 (IQR 6-16) on day 1, and declined slightly thereafter (71% reduction compared with standard of 24/day). The median number of CGM values used nonadjunctively to titrate IV insulin was 11.5 (IQR 0, 15) on day 1 and increased thereafter. Time in range 70 to 180 mg/dL was 64 ± 23% on day 1 and 72 ± 16% on days 2 through 7, whereas time <70 mg/dL was 1.5 ± 4.1% on day 1 and <1% on days 2 through 7. CONCLUSIONS This study provides data to support that CGM using a hybrid protocol is feasible, accurate, safe, and has potential to reduce nursing and staff workload.
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Affiliation(s)
- Eileen R Faulds
- The Ohio State University College of Nursing, The Ohio State University Medical Center, Columbus, OH, USA
| | | | - Lyndsey Sumner
- The Ohio State University College of Medicine, Columbus, OH, USA
| | - Laureen Jones
- The Ohio State University Medical Center, Columbus, OH, USA
| | - Molly McNett
- Implementation/Translation Science Core, Helene Fuld Health Trust National Institute for EBP, Columbus, OH, USA
| | | | - Casey C May
- The Ohio State University Medical Center, Columbus, OH, USA
| | - Elizabeth Buschur
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University Medical Center, Columbus, OH, USA
| | - Matthew C Exline
- Division of Critical Care Medicine, The Ohio State University Medical Center, Columbus, OH, USA
| | - Matthew D Ringel
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University Medical Center, Columbus, OH, USA
| | - Kathleen Dungan
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University Medical Center, Columbus, OH, USA
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