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Tlili NE, Robert L, Gerard E, Lemaitre M, Vambergue A, Beuscart JB, Quindroit P. A systematic review of the value of clinical decision support systems in the prescription of antidiabetic drugs. Int J Med Inform 2024; 191:105581. [PMID: 39106772 DOI: 10.1016/j.ijmedinf.2024.105581] [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: 02/22/2024] [Revised: 07/23/2024] [Accepted: 07/28/2024] [Indexed: 08/09/2024]
Abstract
INTRODUCTION The management of chronic diabetes mellitus and its complications demands customized glycaemia control strategies. Polypharmacy is prevalent among people with diabetes and comorbidities, which increases the risk of adverse drug reactions. Clinical decision support systems (CDSSs) may constitute an innovative solution to these problems. The aim of our study was to conduct a systematic review assessing the value of CDSSs for the management of antidiabetic drugs (AD). MATERIALS AND METHODS We systematically searched the scientific literature published between January 2010 and October 2023. The retrieved studies were categorized as non-specific or AD-specific. The studies' quality was assessed using the Mixed Methods Appraisal Tool. The review's results were reported in accordance with the PRISMA guidelines. RESULTS Twenty studies met our inclusion criteria. The majority of AD-specific studies were conducted more recently (2020-2023) compared to non-specific studies (2010-2015). This trend hints at growing interest in more specialized CDSSs tailored for prescriptions of ADs. The nine AD-specific studies focused on metformin and insulin and demonstrated positive impacts of the CDSSs on different outcomes, including the reduction in the proportion of inappropriate prescriptions of ADs and in hypoglycaemia events. The 11 nonspecific studies showed similar trends for metformin and insulin prescriptions, although the CDSSs' impacts were not significant. There was a predominance of metformin and insulin in the studied CDSSs and a lack of studies on ADs such as sodium-glucose cotransporter-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists. CONCLUSION The limited number of studies, especially randomized clinical trials, interested in evaluating the application of CDSS in the management of ADs underscores the need for further investigations. Our findings suggest the potential benefit of applying CDSSs to the prescription of ADs particularly in primary care settings and when targeting clinical pharmacists. Finally, establishing core outcome sets is crucial for ensuring consistent and standardized evaluation of these CDSSs.
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Affiliation(s)
- Nour Elhouda Tlili
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France.
| | - Laurine Robert
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France; Institut de Pharmacie, CHU Lille, F-59000 Lille, France
| | - Erwin Gerard
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France; Institut de Pharmacie, CHU Lille, F-59000 Lille, France
| | - Madleen Lemaitre
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France; CHU Lille, Department of Diabetology, Endocrinology, Metabolism and Nutrition, Lille University Hospital, F-59000, Lille, France
| | - Anne Vambergue
- CHU Lille, Department of Diabetology, Endocrinology, Metabolism and Nutrition, Lille University Hospital, F-59000, Lille, France; European Genomic Institute for Diabetes, Lille University School of Medicine, F-59000 Lille, France
| | - Jean-Baptiste Beuscart
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France
| | - Paul Quindroit
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France
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Thabit H, Schofield J. Technology in the management of diabetes in hospitalised adults. Diabetologia 2024:10.1007/s00125-024-06206-4. [PMID: 38953925 DOI: 10.1007/s00125-024-06206-4] [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: 03/04/2024] [Accepted: 05/14/2024] [Indexed: 07/04/2024]
Abstract
Suboptimal glycaemic management in hospitals has been associated with adverse clinical outcomes and increased financial costs to healthcare systems. Despite the availability of guidelines for inpatient glycaemic management, implementation remains challenging because of the increasing workload of clinical staff and rising prevalence of diabetes. The development of novel and innovative technologies that support the clinical workflow and address the unmet need for effective and safe inpatient diabetes care delivery is still needed. There is robust evidence that the use of diabetes technology such as continuous glucose monitoring and closed-loop insulin delivery can improve glycaemic management in outpatient settings; however, relatively little is known of its potential benefits and application in inpatient diabetes management. Emerging data from clinical studies show that diabetes technologies such as integrated clinical decision support systems can potentially mediate safer and more efficient inpatient diabetes care, while continuous glucose sensors and closed-loop systems show early promise in improving inpatient glycaemic management. This review aims to provide an overview of current evidence related to diabetes technology use in non-critical care adult inpatient settings. We highlight existing barriers that may hinder or delay implementation, as well as strategies and opportunities to facilitate the clinical readiness of inpatient diabetes technology in the future.
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Affiliation(s)
- Hood Thabit
- Diabetes, Endocrinology and Metabolism Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
| | - Jonathan Schofield
- Diabetes, Endocrinology and Metabolism Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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3
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Nimri R, Phillip M, Clements MA, Kovatchev B. Closed-Loop Control, Artificial Intelligence-Based Decision-Support Systems, and Data Science. Diabetes Technol Ther 2024; 26:S68-S89. [PMID: 38441444 DOI: 10.1089/dia.2024.2505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Affiliation(s)
- Revital Nimri
- Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Moshe Phillip
- Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mark A Clements
- Division of Pediatric Endocrinology, Children's Mercy Hospitals and Clinics, Kansas City, MO, USA
| | - Boris Kovatchev
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA, USA
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4
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Huang S, Liang Y, Li J, Li X. Applications of Clinical Decision Support Systems in Diabetes Care: Scoping Review. J Med Internet Res 2023; 25:e51024. [PMID: 38064249 PMCID: PMC10746969 DOI: 10.2196/51024] [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: 07/21/2023] [Revised: 11/10/2023] [Accepted: 11/12/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Providing comprehensive and individualized diabetes care remains a significant challenge in the face of the increasing complexity of diabetes management and a lack of specialized endocrinologists to support diabetes care. Clinical decision support systems (CDSSs) are progressively being used to improve diabetes care, while many health care providers lack awareness and knowledge about CDSSs in diabetes care. A comprehensive analysis of the applications of CDSSs in diabetes care is still lacking. OBJECTIVE This review aimed to summarize the research landscape, clinical applications, and impact on both patients and physicians of CDSSs in diabetes care. METHODS We conducted a scoping review following the Arksey and O'Malley framework. A search was conducted in 7 electronic databases to identify the clinical applications of CDSSs in diabetes care up to June 30, 2022. Additional searches were conducted for conference abstracts from the period of 2021-2022. Two researchers independently performed the screening and data charting processes. RESULTS Of 11,569 retrieved studies, 85 (0.7%) were included for analysis. Research interest is growing in this field, with 45 (53%) of the 85 studies published in the past 5 years. Among the 58 (68%) out of 85 studies disclosing the underlying decision-making mechanism, most CDSSs (44/58, 76%) were knowledge based, while the number of non-knowledge-based systems has been increasing in recent years. Among the 81 (95%) out of 85 studies disclosing application scenarios, the majority of CDSSs were used for treatment recommendation (63/81, 78%). Among the 39 (46%) out of 85 studies disclosing physician user types, primary care physicians (20/39, 51%) were the most common, followed by endocrinologists (15/39, 39%) and nonendocrinology specialists (8/39, 21%). CDSSs significantly improved patients' blood glucose, blood pressure, and lipid profiles in 71% (45/63), 67% (12/18), and 38% (8/21) of the studies, respectively, with no increase in the risk of hypoglycemia. CONCLUSIONS CDSSs are both effective and safe in improving diabetes care, implying that they could be a potentially reliable assistant in diabetes care, especially for physicians with limited experience and patients with limited access to medical resources. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.37766/inplasy2022.9.0061.
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Affiliation(s)
- Shan Huang
- Endocrinology Department, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuzhen Liang
- Department of Endocrinology, The Second Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Jiarui Li
- Department of Endocrinology, Cangzhou Central Hospital, Cangzhou, China
| | - Xuejun Li
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Diabetes Institute, Xiamen, China
- Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
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Kanumilli N, Butler J, Makrilakis K, Rydén L, Vallis M, Wanner C, Zieroth S, Alhussein A, Cheng A. Guardians For Health: A Practical Approach to Improving Quality of Life and Longevity in People with Type 2 Diabetes. Diabetes Ther 2023:10.1007/s13300-023-01418-0. [PMID: 37199909 DOI: 10.1007/s13300-023-01418-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 04/28/2023] [Indexed: 05/19/2023] Open
Abstract
Type 2 diabetes is one of the fastest-growing health emergencies of the twenty-first century, in part due to its association with cardiovascular and renal disease. Successful implementation of evidence-based guidelines for the management of patients with diabetes and pre-diabetes has been shown to improve patient outcomes by controlling risk factors for cardiovascular and renal disease. Recommendations include the early introduction of lifestyle adjustments, supported by pharmacological tools. Despite the availability of regularly updated, evidence-based guidelines, guideline implementation in clinical practice is low. As a result, people living with type 2 diabetes are not consistently receiving ideal clinical care. Improving guideline adherence has the potential to improve quality of life and longevity in patients with type 2 diabetes. This article introduces Guardians For Health, a global initiative that aims to improve guideline adherence by simplifying patient management and encouraging patient participation in the implementation of guidelines for type 2 diabetes. Guardians For Health is supported by a global community of implementers, with tools to support decision-making and quality assurance. Through achieving better guideline adherence, Guardians For Health hopes to achieve its vision to "stop early mortality by reducing cardiovascular and kidney complications in people with type 2 diabetes".
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Affiliation(s)
- Naresh Kanumilli
- Northenden Group Practice, 489 Palatine Road, Northenden, Manchester, M22 4DH, UK.
| | | | | | - Lars Rydén
- Department for Medicine K2, Karolinska Institutet, Stockholm, Sweden
| | | | | | | | - Ahmad Alhussein
- Boehringer Ingelheim International GmbH, Ingelheim am Rhein, Germany
| | - Alice Cheng
- University of Toronto Mississauga, Mississauga, Canada
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6
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Misra S, Avari P, Lumb A, Flanagan D, Choudhary P, Rayman G, Dhatariya K. How Can Point-of-Care Technologies Support In-Hospital Diabetes Care? J Diabetes Sci Technol 2023; 17:509-516. [PMID: 36880565 PMCID: PMC10012370 DOI: 10.1177/19322968221137360] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
People with diabetes admitted to hospital are at risk of diabetes related complications including hypoglycaemia and diabetic ketoacidosis. Point-of-care (POC) tests undertaken at the patient bedside, for glucose, ketones, and other analytes, are a key component of monitoring people with diabetes, to ensure safety. POC tests implemented with a quality framework are critical to ensuring accuracy and veracity of results and preventing erroneous clinical decision making. POC results can be used for self-management of glucose levels in those well-enough and/or by healthcare professionals to identify unsafe levels. Connectivity of POC results to electronic health records further offers the possibility of utilising these results proactively to identify patients 'at risk' in real-time and for audit purposes. In this article, the key considerations when implementing POC tests for diabetes in-patient management are reviewed and potential to drive improvements using networked glucose and ketone measurements are discussed. In summary, new advances in POC technology should allow people with diabetes and the teams looking after them whilst in hospital to integrate to provide safe and effective care.
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Affiliation(s)
- Shivani Misra
- Department of Metabolism, Digestion and
Reproduction, Imperial College London, London, UK
- Department of Diabetes and
Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Parizad Avari
- Department of Diabetes and
Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Alistair Lumb
- Oxford Centre for Diabetes,
Endocrinology and Metabolism, Churchill Hospital, Oxford, UK
| | - Daniel Flanagan
- Department of Endocrinology, University
Hospital Plymouth, Plymouth, UK
| | - Pratik Choudhary
- Diabetes Research Centre, University of
Leicester, Leicester, UK
| | - Gerry Rayman
- Ipswich Diabetes Centre, East Suffolk
and North East Essex Foundation Trust, Ipswich, UK
| | - Ketan Dhatariya
- Elsie Bertram Diabetes Centre, Norfolk
and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
- Norwich Medical School, University of
East Anglia, Norwich, UK
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7
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Yi M, Cao Q, Tang WH, Liu Q, Ke X. Day-to-day fasting plasma glucose variability on the short-term prognosis of ST-segment elevation myocardial infarction: A retrospective cohort study. Clin Cardiol 2022; 45:1246-1254. [PMID: 36069119 DOI: 10.1002/clc.23899] [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: 03/24/2022] [Revised: 07/23/2022] [Accepted: 08/01/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND AND HYPOTHESIS Glycemic variability in one fact that explain the differences in cardiovascular outcomes. The short-term fasting plasma glucose (FPG) variability may have an on major adverse cardiovascular events (MACE) in type 2 diabetes mellitus (T2DM) patients with ST-segment elevation myocardial infarction (STEMI). METHODS This study retrospectively analyzed T2DM patients who underwent emergent percutaneous coronary intervention (PCI) due to STEMI in Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, between January 2016 and March 2020. All patients underwent at least 5 FPG measurements during the perioperative period. FPG variability score (FPG-VS) was defined as the percentage of the number of FPG variations > 1 mmol/L between two adjacent FPG measurements. The Cox proportional-hazards model was used to estimate the relationship between FPG-VS and MACE. A validation set was utilized to further evaluate the prognostic value of FPG-VS in a standardized STEMI diabetic diet cohort following PCI intervention. RESULTS A total of 612 patients were included in the retrospective cohort study. In comparison to the minimum quintile, FPG-VS > 60% was associated with an increased risk of 30-day MACE. Moreover, compared to FPG-VS ≤ 20%, the FPG-VS > 80% group had a higher risk of MACE (odd ratio [OR] = 4.87, 95% confidence interval [CI]: 2.55-5.28), recurrent angina pectoris (OR = 5.43, 95% CI: 2.27-8.27), nonfatal myocardial infarction (OR = 5.00, 95% CI: 2.47-7.69), heart failure (OR = 3.70, 95% CI: 1.92-5.54), malignant arrhythmia (OR = 4.63, 95% CI: 1.12-6.25) and cardiac death (OR = 1.41, 95% CI: 0.17-1.97). Consistent results were obtained after adjustment for HbA1c, demonstrating the robustness of FPGFPG-VS. Moreover, the standard diet intervention group had a lower FPG-VS index as well as a lower incidence of MACE. CONCLUSION Higher FPG variability is associated with an increased risk of MACE within 30 days in diabetes patients receiving PCI for STEMI. A standardized diet may improve the prognosis of STEMI patients by reducing the FPG-VS.
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Affiliation(s)
- Ming Yi
- Department of Cardiology, Liuyang Hospital of Traditional Chinese Medicine, Liuyang, China.,Department of Clinical Medicine, University of South China, Hengyang, China
| | - Qing Cao
- Department of Internal Medicine, The Fourth Hospital of Changsha, Changsha Hospital Affiliated to Hunan Normal University, Changsha, China
| | - Wen-Hui Tang
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, (Shenzhen Sun Yat-sen Cardiovascular Hospital), Shenzhen, China
| | - Qiang Liu
- Department of Clinical Medicine, University of South China, Hengyang, China.,Department of Cardiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Xiao Ke
- Department of Clinical Medicine, University of South China, Hengyang, China.,Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, (Shenzhen Sun Yat-sen Cardiovascular Hospital), Shenzhen, China
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8
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Pichardo-Lowden AR, Haidet P, Umpierrez GE, Lehman EB, Quigley FT, Wang L, Rafferty CM, DeFlitch CJ, Chinchilli VM. Clinical Decision Support for Glycemic Management Reduces Hospital Length of Stay. Diabetes Care 2022; 45:2526-2534. [PMID: 36084251 PMCID: PMC9679255 DOI: 10.2337/dc21-0829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 08/14/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Dysglycemia influences hospital outcomes and resource utilization. Clinical decision support (CDS) holds promise for optimizing care by overcoming management barriers. This study assessed the impact on hospital length of stay (LOS) of an alert-based CDS tool in the electronic medical record that detected dysglycemia or inappropriate insulin use, coined as gaps in care (GIC). RESEARCH DESIGN AND METHODS Using a 12-month interrupted time series among hospitalized persons aged ≥18 years, our CDS tool identified GIC and, when active, provided recommendations. We compared LOS during 6-month-long active and inactive periods using linear models for repeated measures, multiple comparison adjustment, and mediation analysis. RESULTS Among 4,788 admissions with GIC, average LOS was shorter during the tool's active periods. LOS reductions occurred for all admissions with GIC (-5.7 h, P = 0.057), diabetes and hyperglycemia (-6.4 h, P = 0.054), stress hyperglycemia (-31.0 h, P = 0.054), patients admitted to medical services (-8.4 h, P = 0.039), and recurrent hypoglycemia (-29.1 h, P = 0.074). Subgroup analysis showed significantly shorter LOS in recurrent hypoglycemia with three events (-82.3 h, P = 0.006) and nonsignificant in two (-5.2 h, P = 0.655) and four or more (-14.8 h, P = 0.746). Among 22,395 admissions with GIC (4,788, 21%) and without GIC (17,607, 79%), LOS reduction during the active period was 1.8 h (P = 0.053). When recommendations were provided, the active tool indirectly and significantly contributed to shortening LOS through its influence on GIC events during admissions with at least one GIC (P = 0.027), diabetes and hyperglycemia (P = 0.028), and medical services (P = 0.019). CONCLUSIONS Use of the alert-based CDS tool to address inpatient management of dysglycemia contributed to reducing LOS, which may reduce costs and improve patient well-being.
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Affiliation(s)
- Ariana R. Pichardo-Lowden
- Department of Medicine, Penn State Health, Penn State College of Medicine, Hershey Medical Center, Hershey, PA
| | - Paul Haidet
- Department of Medicine, Penn State Health, Penn State College of Medicine, Hershey Medical Center, Hershey, PA
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
- Department of Humanities and the Woodward Center for Excellence in Health Sciences Education, Penn State College of Medicine, Hershey, PA
| | | | - Erik B. Lehman
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
| | - Francis T. Quigley
- Department of Medicine, Penn State Health St. Joseph Medical Center, Reading, PA
| | - Li Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
| | - Colleen M. Rafferty
- Department of Medicine, Penn State Health, Penn State College of Medicine, Hershey Medical Center, Hershey, PA
| | - Christopher J. DeFlitch
- Department of Emergency Medicine, Office of the Chief Medical Information Officer, Penn State Health, Hershey, PA
| | - Vernon M. Chinchilli
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 154] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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10
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Gerwer JE, Bacani G, Juang PS, Kulasa K. Electronic Health Record-Based Decision-Making Support in Inpatient Diabetes Management. Curr Diab Rep 2022; 22:433-440. [PMID: 35917098 PMCID: PMC9355925 DOI: 10.1007/s11892-022-01481-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/26/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW This review discusses ways in which the electronic health record (EHR) can offer clinical decision support (CDS) tools for management of inpatient diabetes and hyperglycemia. RECENT FINDINGS The use of electronic order sets can help providers order comprehensive basal bolus insulin regimens that are consistent with current guidelines. Order sets have been shown to reduce insulin errors and hypoglycemia rates. They can also help set glycemic targets, give hemoglobin A1C reminders, guide weight-based dosing, and match insulin regimen to nutritional profile. Glycemic management dashboards allow multiple variables affecting blood glucose to be shown in a single view, which allows for efficient evaluation of glucose trends and adjustment of insulin regimen. With the use glycemic management dashboards, active surveillance and remote management also become feasible. Hypoglycemia prevention and management are another part of inpatient diabetes management that is enhanced by EHR CDS tools. Furthermore, diagnosis and management of diabetic ketoacidosis and hyperglycemia hyperosmolar state are improved with the aid of EHR CDS tools. The use of EHR CDS tools helps improve the care of patients with diabetes and hyperglycemia in the inpatient hospital setting.
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Affiliation(s)
- Johanna E. Gerwer
- grid.266100.30000 0001 2107 4242Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA USA
| | - Grace Bacani
- grid.266100.30000 0001 2107 4242Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA USA
| | - Patricia S. Juang
- grid.266100.30000 0001 2107 4242Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA USA
| | - Kristen Kulasa
- grid.266100.30000 0001 2107 4242Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA USA
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11
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Cuevas H, Heitkemper E, Haque B. Relationships Among Perception of Cognitive Function, Diabetes Self-Management, and Glucose Variability in Older Adults: A Mixed Methods Study. Res Gerontol Nurs 2022; 15:203-212. [PMID: 35708961 DOI: 10.3928/19404921-20220609-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The aim of the current study was to explore relationships among perceived cognitive function, glucose variability, and self-management in older adults with type 2 diabetes mellitus (T2DM). A mixed methods design was used with data from: (a) questionnaires on perceived cognitive function and diabetes self-management; (b) continuous glucose monitoring (CGM) reports; and (c) semi-structured interviews. Thirty adults with T2DM (47% female; mean age = 68.5 [SD = 5.2] years) participated. Those who exercised more days per week had more stable glucose. Those who reported fewer days of diet adherence had more hypoglycemia. Participants who reported higher levels of memory dissatisfaction exhibited higher levels of glucose variability. Findings point to the potential of glucose variability as a target to reduce the effect of diabetes on cognitive function. Instruction in recognition of glucose patterns found via CGM can be integrated into self-management education to improve self-management and subsequent glucose control and cognitive function. [Research in Gerontological Nursing, xx(x), xx-xx.].
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Sweeney AT, Pena S, Sandeep J, Hernandez B, Chen Y, Breeze JL, Bulut A, Feghali K, Abdelrehim M, Abdelazeem M, Srivoleti P, Salvucci L, Cann SB, Norman C. Use of a Continuous Glucose Monitoring System in High Risk Hospitalized Non-critically ill Patients with Diabetes after Cardiac Surgery and during their Transition of Care from the Intensive Care Unit during Covid-19-A Pilot Study. Endocr Pract 2022; 28:615-621. [PMID: 35276324 PMCID: PMC8902897 DOI: 10.1016/j.eprac.2022.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 03/02/2022] [Accepted: 03/02/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Continuous glucose monitoring (CGM) has demonstrated benefits in managing inpatient diabetes. We initiated this single-arm pilot feasibility study during the COVID-19 pandemic in 11 patients to determine the feasibility and accuracy of real-time CGM in cardiac surgery patients with diabetes after their transition of care from the intensive care unit(ICU). METHODS Clarke Error Grid(CEG) analysis was used to compare CGM and point-of-care(POC) measurements. Mean absolute relative difference(MARD) of the paired measurements was calculated to assess the accuracy of the CGM for glucose measurements during the first 24 hours on CGM, the remainder of time on the CGM as well as for different chronic kidney disease(CKD) strata. RESULTS Overall MARD between POC and CGM measurements was 14.80%. MARD for patients without CKD IV and V with eGFR < 20 ml/min/1.73m2 was 12.13%. Overall, 97% of the CGM values were within the no-risk zone of the CEG analysis. For the first 24 hours, a sensitivity analysis of the overall MARD for all subjects and for those with eGFR > 20 ml/min/1.73m2 was 15.42% (+/- 14.44) and 12.80% (+/- 7.85) respectively. Beyond the first 24 hours, overall MARD for all subjects and for those with eGFR > 20 ml/min/1.73m2 was 14.54% (+/- 13.21) and 11.86% (+/- 7.64) respectively. CONCLUSIONS CGM has great promise to optimize inpatient diabetes management in the noncritical care setting and after the transition of care from the ICU with high clinical reliability, and accuracy. More studies are needed to further assess CGM in patients with advanced CKD.
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Affiliation(s)
- Ann T Sweeney
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA.
| | - Samara Pena
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Jeena Sandeep
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Bryan Hernandez
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Ye Chen
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA
| | - Janis L Breeze
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA
| | - Aysegul Bulut
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Karen Feghali
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Moaz Abdelrehim
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Mohamed Abdelazeem
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Padmavathi Srivoleti
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Linda Salvucci
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Susan Berry Cann
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Catalina Norman
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
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Moyer ED, Lehman EB, Bolton MD, Goldstein J, Pichardo-Lowden AR. Lack of recognition and documentation of stress hyperglycemia is a disruptor of optimal continuity of care. Sci Rep 2021; 11:11476. [PMID: 34075071 PMCID: PMC8169760 DOI: 10.1038/s41598-021-89945-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 04/21/2021] [Indexed: 12/15/2022] Open
Abstract
Stress hyperglycemia (SH) is a manifestation of altered glucose metabolism in acutely ill patients which worsens outcomes and may represent a risk factor for diabetes. Continuity of care can assess this risk, which depends on quality of hospital clinical documentation. We aimed to determine the incidence of SH and documentation tendencies in hospital discharge summaries and continuity notes. We retrospectively examined diagnoses during a 12-months period. A 3-months representative sample of discharge summaries and continuity clinic notes underwent manual abstraction. Over 12-months, 495 admissions had ≥ 2 blood glucose measurements ≥ 10 mmol/L (180 mg/dL), which provided a SH incidence of 3.3%. Considering other glucose states suggestive of SH, records showing ≥ 4 blood glucose measurements ≥ 7.8 mmol/L (140 mg/dL) totaled 521 admissions. The entire 3-months subset of 124 records lacked the diagnosis SH documentation in discharge summaries. Only two (1.6%) records documented SH in the narrative of hospital summaries. Documentation or assessment of SH was absent in all ambulatory continuity notes. Lack of documentation of SH contributes to lack of follow-up after discharge, representing a disruptor of optimal care. Activities focused on improving quality of hospital documentation need to be integral to the education and competency of providers within accountable health systems.
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Affiliation(s)
- Eric D Moyer
- Penn State College of Medicine, 700 HMC Crescent Road, Hershey, PA, 17033, USA
| | - Erik B Lehman
- Department of Public Health Sciences, Penn State College of Medicine, 90 Hope Drive, Suite 3400, Hershey, PA, 17033, USA
| | - Matthew D Bolton
- Information Services, Penn State Health and Penn State College of Medicine, Room 3315, 100 Crystal A Drive, Hershey, PA, 17033, USA
| | - Jennifer Goldstein
- Department of Medicine, Milton S. Hershey Medical Center, Penn State Health, Penn State College of Medicine, Penn State University, 500 University Drive, Hershey, PA, 17033, USA
| | - Ariana R Pichardo-Lowden
- Department of Medicine, Milton S. Hershey Medical Center, Penn State Health, Penn State College of Medicine, Penn State University, 500 University Drive, Hershey, PA, 17033, USA.
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