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Torres Roldan VD, Urtecho M, Nayfeh T, Firwana M, Muthusamy K, Hasan B, Abd-Rabu R, Maraboto A, Qoubaitary A, Prokop L, Lieb DC, McCall AL, Wang Z, Murad MH. A Systematic Review Supporting the Endocrine Society Guidelines: Management of Diabetes and High Risk of Hypoglycemia. J Clin Endocrinol Metab 2023; 108:592-603. [PMID: 36477885 DOI: 10.1210/clinem/dgac601] [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: 10/08/2022] [Indexed: 12/12/2022]
Abstract
CONTEXT Interventions targeting hypoglycemia in people with diabetes are important for improving quality of life and reducing morbidity and mortality. OBJECTIVE To support development of the Endocrine Society Clinical Practice Guideline for management of individuals with diabetes at high risk for hypoglycemia. METHODS We searched several databases for studies addressing 10 questions provided by a guideline panel from the Endocrine Society. Meta-analysis was conducted when feasible. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess certainty of evidence. RESULTS We included 149 studies reporting on 43 344 patients. Continuous glucose monitoring (CGM) reduced episodes of severe hypoglycemia in patients with type 1 diabetes (T1D) and reduced the proportion of patients with hypoglycemia (blood glucose [BG] levels <54 mg/dL). There were no data on use of real-time CGM with algorithm-driven insulin pumps vs multiple daily injections with BG testing in people with T1D. CGM in outpatients with type 2 diabetes taking insulin and/or sulfonylureas reduced time spent with BG levels under 70 mg/dL. Initiation of CGM in hospitalized patients at high risk for hypoglycemia reduced episodes of hypoglycemia with BG levels lower than 54 mg/dL and time spent under 54 mg/dL. The proportion of patients with hypoglycemia with BG levels lower than 70 mg/dL and lower than 54 mg/dL detected by CGM was significantly higher than point-of-care BG testing. We found no data evaluating continuation of personal CGM in the hospital. Use of an inpatient computerized glycemic management program utilizing electronic health record data was associated with fewer patients with and episodes of hypoglycemia with BG levels lower than 70 mg/dL and fewer patients with severe hypoglycemia compared with standard care. Long-acting basal insulin analogs were associated with less hypoglycemia. Rapid-acting insulin analogs were associated with reduced severe hypoglycemia, though there were more patients with mild to moderate hypoglycemia. Structured diabetes education programs reduced episodes of severe hypoglycemia and time below 54 mg/dL in outpatients taking insulin. Glucagon formulations not requiring reconstitution were associated with longer times to recovery from hypoglycemia, although the proportion of patients who recovered completely from hypoglycemia was not different between the 2 groups. CONCLUSION This systematic review summarized the best available evidence about several interventions addressing hypoglycemia in people with diabetes. This evidence base will facilitate development of clinical practice guidelines by the Endocrine Society.
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Affiliation(s)
| | - Meritxell Urtecho
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | - Tarek Nayfeh
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | - Mohammed Firwana
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | | | - Bashar Hasan
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | - Rami Abd-Rabu
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | - Andrea Maraboto
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Amjad Qoubaitary
- College of Arts and Science, University of San Francisco, San Francisco, CA 94117, USA
| | - Larry Prokop
- Department of Library Services, Mayo Clinic, Rochester, MN 55902, USA
| | - David C Lieb
- Division of Endocrine and Metabolic Disorders, Department of Internal Medicine, Eastern Virginia Medical School, Norfolk, VA 23501-1980, USA
| | - Anthony L McCall
- Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Zhen Wang
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
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LaManna J, Litchman ML, Dickinson JK, Todd A, Julius MM, Whitehouse CR, Hyer S, Kavookjian J. Diabetes Education Impact on Hypoglycemia Outcomes: A Systematic Review of Evidence and Gaps in the Literature. DIABETES EDUCATOR 2019; 45:349-369. [PMID: 31210091 DOI: 10.1177/0145721719855931] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
PURPOSE The primary purpose of this study is to report a systematic review of evidence and gaps in the literature among well-conducted studies assessing the impact of diabetes education on hypoglycemia outcomes and secondarily reporting the impact on other included target outcomes. METHODS The authors used a modified Cochrane method to systematically search and review English-language titles, abstracts, and full-text articles published in the United States between January 2001 and December 2017, with diabetes education specified as an intervention and a directly measurable outcome for hypoglycemia risk or events included. RESULTS Fourteen quasi-experimental, experimental, and case-control studies met the inclusion criteria, with 8 articles reporting a positive impact of diabetes self-management education and support (DSMES) on hypoglycemia outcomes; 2 of the 8 reported decreased hypoglycemia events, and 1 reported decreased events in both the intervention and control groups. In addition, 5 studies targeted change in reported hypoglycemia symptoms, with all 5 reporting a significant decrease. DSMES also demonstrated an impact on intermediate (knowledge gain, behavior change) and long-term (humanistic and economic/utilization) outcomes. An absence of common hypoglycemia measures and terminology and suboptimal descriptions of DSMES programs for content, delivery, duration, practitioner types, and participants were identified as gaps in the literature. CONCLUSIONS Most retained studies reported that diabetes education positively affected varied measures of hypoglycemia outcomes (number of events, reported symptoms) as well as other targeted outcomes. Diabetes education is an important intervention for reducing hypoglycemia events and/or symptoms and should be included as a component of future hypoglycemia risk mitigation studies.
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Affiliation(s)
- Jacqueline LaManna
- American Association of Diabetes Educators, Research Committee, Chicago, Illinois.,University of Central Florida, College of Nursing, Orlando, Florida
| | - Michelle L Litchman
- American Association of Diabetes Educators, Research Committee, Chicago, Illinois.,University of Utah, College of Nursing, Salt Lake City, Utah
| | - Jane K Dickinson
- American Association of Diabetes Educators, Research Committee, Chicago, Illinois.,Department of Health and Behavior Studies, Teachers College Columbia University, New York, New York
| | - Andrew Todd
- University of Central Florida, College of Nursing, Orlando, Florida
| | - Mary M Julius
- American Association of Diabetes Educators, Research Committee, Chicago, Illinois.,Northeast Ohio Veterans Administration (VA), Cleveland, Ohio
| | - Christina R Whitehouse
- American Association of Diabetes Educators, Research Committee, Chicago, Illinois.,Villanova University, M. Louise Fitzpatrick College of Nursing, Villanova, Pennsylvania
| | - Suzanne Hyer
- University of Central Florida, College of Nursing, Orlando, Florida
| | - Jan Kavookjian
- American Association of Diabetes Educators, Research Committee, Chicago, Illinois.,Auburn University, Harrison School of Pharmacy, Auburn University, Alabama
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Schmidt S, Schelde B, Nørgaard K. Effects of advanced carbohydrate counting in patients with type 1 diabetes: a systematic review. Diabet Med 2014; 31:886-96. [PMID: 24654856 DOI: 10.1111/dme.12446] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2013] [Revised: 12/29/2013] [Accepted: 03/17/2014] [Indexed: 12/11/2022]
Abstract
AIM Advanced carbohydrate counting, a systematic method for insulin bolus calculation, is recommended in the management of type 1 diabetes. The aim of this systematic review was to summarize all available evidence from randomized and observational studies of the effects of advanced carbohydrate counting on glycaemic control (HbA(1c)), psychosocial measures, weight and hypoglycaemic events in patients of all age groups with type 1 diabetes on a basal-bolus insulin regimen. METHODS An electronic search of Scopus, MEDLINE and The Cochrane Library conducted in January 2013 identified 27 relevant articles. Six were randomized controlled trials and 21 were observational studies. Large heterogeneity existed across studies with regard to study design and patient populations. Reporting of statistical measures was insufficient to serve as a basis for a meta-analysis. RESULTS Overall, the studies demonstrated a positive trend in change in HbA(1c) after introduction of advanced carbohydrate counting. Reductions in HbA(1c) ranged from 0.0 to 13 mmol/mol (0.0-1.2%). Most psychosocial measures improved; however, only few improvements were considered clinically relevant. Both weight gain and reduction were registered, but most studies found no significant weight changes. The majority of studies assessing the incidence of hypoglycaemic events found a significant reduction in the event rate and none reported an increase in the incidence. CONCLUSIONS In summary, the currently available literature does not provide sufficient evidence to definitively determine the effects of advanced carbohydrate counting on HbA(1c), psychosocial measures, weight or hypoglycaemic events. Nevertheless, the method still appears preferable to other insulin dosing procedures, which justifies continued use and inclusion of advanced carbohydrate counting in clinical guidelines.
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Affiliation(s)
- S Schmidt
- Department of Endocrinology, Copenhagen University Hospital, Hvidovre; Danish Diabetes Academy, Odense
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