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Khan SA, Demidowich AP, Tschudy MM, Wedler J, Lamy W, Akpandak I, Alexander LA, Misra I, Sidhaye A, Rotello L, Zilbermint M. Increasing Frequency of Hemoglobin A1c Measurements in Hospitalized Patients With Diabetes: A Quality Improvement Project Using Lean Six Sigma. J Diabetes Sci Technol 2024; 18:866-873. [PMID: 36788726 PMCID: PMC11307218 DOI: 10.1177/19322968231153883] [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: 02/16/2023]
Abstract
BACKGROUND The American Diabetes Association (ADA) recommends measuring A1c in all inpatients with diabetes if not performed in the prior three months. Our objective was to determine the impact of utilizing Lean Six Sigma to increase the frequency of A1c measurements in hospitalized patients. METHODS We evaluated inpatients with diabetes mellitus consecutively admitted in a community hospital between January 2016 and June 2021, excluding those who had an A1c in the electronic health record (EHR) in the previous three months. Lean Six Sigma was utilized to define the extent of the problem and devise solutions. The intervention bundle delivered between November 2017 and February 2018 included (1) provider education on the utility of A1c, (2) more rapid turnaround of A1c results, and (3) an EHR glucose-management tab and insulin order set that included A1c. Hospital encounter and patient-level data were extracted from the EHR via bulk query. Frequency of A1c measurement was compared before (January 2016-November 2017) and after the intervention (March 2018-June 2021) using χ2 analysis. RESULTS Demographics did not differ preintervention versus postintervention (mean age [range]: 70.9 [18-104] years, sex: 52.2% male, race: 57.0% white). A1c measurements significantly increased following implementation of the intervention bundle (61.2% vs 74.5%, P < .001). This level was sustained for more than two years following the initial intervention. Patients seen by the diabetes consult service (40.4% vs 51.7%, P < 0.001) and length of stay (mean: 135 hours vs 149 hours, P < 0.001) both increased postintervention. CONCLUSIONS We demonstrate a novel approach in improving A1c in hospitalized patients. Lean Six Sigma may represent a valuable methodology for community hospitals to improve inpatient diabetes care.
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Affiliation(s)
- Sara Atiq Khan
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew P. Demidowich
- Division of Hospital Medicine, Johns Hopkins Community Physicians at Howard County General Hospital, Columbia, MD, USA
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Megan M. Tschudy
- Division of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joyce Wedler
- Department of Information Systems, Suburban Hospital, Bethesda, MD, USA
| | - Wilson Lamy
- Armstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Iniuboho Akpandak
- Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA
| | - Lee Ann Alexander
- Department of Pharmacy, Suburban Hospital, Johns Hopkins Medicine, Bethesda, MD, USA
| | - Isha Misra
- Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA
| | - Aniket Sidhaye
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Leo Rotello
- Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA
| | - Mihail Zilbermint
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA
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Leal J, Wellman SS, Jiranek WA, Seyler TM, Bolognesi MP, Ryan SP. Continuing Home Oral Hypoglycemic Medications Was Associated With Superior Postoperative Glycemic Control Versus Initiating Sliding Scale Insulin After Total Hip Arthroplasty. Orthopedics 2024:1-7. [PMID: 38935846 DOI: 10.3928/01477447-20240619-02] [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: 06/29/2024]
Abstract
BACKGROUND This retrospective study investigated the impact of continuing vs discontinuing home oral hypoglycemic medications for patients with diabetes undergoing total hip arthroplasty. MATERIALS AND METHODS Patients who were not exclusively receiving home oral hypoglycemic regimens were excluded. Additionally, patients whose diabetes was not managed inpatient postoperatively were excluded. Included patients were retrospectively evaluated for early postoperative glycemic control, renal function, and metabolic abnormalities. Patients were then compared based on whether their home oral hypoglycemic regimen was continued vs discontinued in favor of initiating insulin while inpatient and analyzed using multivariable regression analysis. RESULTS A total of 532 patients undergoing total hip arthroplasty met inclusion criteria, with 78.6% continuing their home oral hypoglycemic regimen. Those who continued showed significantly lower median maximum inpatient blood glucose (178.5 mg/dL vs 249.5 mg/dL; P<.001) and median average inpatient blood glucose (138.4 mg/dL vs 178.6 mg/dL; P<.001). Linear regression analysis, adjusting for various potential confounding factors, revealed a positive correlation between discontinuation of home hypoglycemic medications and higher maximum in-patient blood glucose (β=70.15 [95% CI, 59.27-81.03]; P<.001). Patients in the continuation group had lower proportions of acute kidney injury (18.7% vs 41.2%; P<.001) and metabolic acidosis (4.3% vs 17.5%; P<.001), along with a shorter length of stay (1.0 d vs 2.0 d; P<.001). CONCLUSION These findings suggest that continuing a home oral hypoglycemic regimen for patients with diabetes after total hip arthroplasty is associated with superior glycemic control without exacerbating renal abnormalities or increasing metabolic complications. [Orthopedics. 202x;4x(x):xx-xx.].
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Mattina A, Raffa GM, Giusti MA, Conoscenti E, Morsolini M, Mularoni A, Fazzina ML, Di Carlo D, Cipriani M, Musumeci F, Arcadipane A, Pilato M, Conaldi PG, Bellavia D. Impact of systematic diabetes screening on peri-operative infections in patients undergoing cardiac surgery. Sci Rep 2024; 14:14182. [PMID: 38898227 PMCID: PMC11187113 DOI: 10.1038/s41598-024-65064-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/17/2024] [Indexed: 06/21/2024] Open
Abstract
Detection of high glycated hemoglobin (A1c) is associated with worse postoperative outcomes, including predisposition to develop systemic and local infectious events. Diabetes and infectious Outcomes in Cardiac Surgery (DOCS) study is a retrospective case-control study aimed to assess in DM and non-DM cardiac surgery patients if a new screening and management model, consisting of systematic A1c evaluation followed by a specialized DM consult, could reduce perioperative infections and 30-days mortality. Effective July 2021, all patients admitted to the cardiac surgery of IRCCS ISMETT were tested for A1c. According to the new protocol, glucose values of patients with A1c ≥ 6% or with known diabetes were monitored. The diabetes team was activated to manage therapy daily until discharge or provide indications for the diagnostic-therapeutic process. Propensity score was used to match 573 patients managed according to the new protocol (the Screen+ Group) to 573 patients admitted before July 2021 and subjected to the traditional management (Screen-). Perioperative prevalence of infections from any cause, including surgical wound infections (SWI), was significantly lower in the Screen+ as compared with the Screen- matched patients (66 [11%] vs. 103 [18%] p = 0.003). No significant difference was observed in 30-day mortality. A1c analysis identified undiagnosed DM in 12% of patients without known metabolic conditions. In a population of patients undergoing cardiac surgery, systematic A1c evaluation at admission followed by specialist DM management reduces perioperative infectious complications, including SWI. Furthermore, A1c screening for patients undergoing cardiac surgery unmasks unknown DM and enhances risk stratification.
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Affiliation(s)
- Alessandro Mattina
- Diabetes Service, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy.
| | - Giuseppe Maria Raffa
- Heart Center, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Maria Ausilia Giusti
- Diabetes Service, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Elena Conoscenti
- Directorate of Health Professions, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Marco Morsolini
- Heart Center, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Alessandra Mularoni
- Unit of Infectious Diseases and Infection Control, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Maria Luisa Fazzina
- Quality and Accreditation Department, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Daniele Di Carlo
- Laboratory of Clinical Pathology, Microbiology and Virology, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Manlio Cipriani
- Heart Center, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Francesco Musumeci
- Heart Center, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Antonio Arcadipane
- Department of Anesthesia and Intensive Care, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Michele Pilato
- Heart Center, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Pier Giulio Conaldi
- Department of Research, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
| | - Diego Bellavia
- Department of Research, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta specializzazione), UPMC (University of Pittsburgh Medical Center), 90127, Palermo, Italy
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Galindo RJ, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 16. Diabetes Care in the Hospital: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S295-S306. [PMID: 38078585 PMCID: PMC10725815 DOI: 10.2337/dc24-s016] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
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, an interprofessional 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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Pérez-Belmonte LM, Osuna-Sánchez J, Ricci M, Millán-Gómez M, López-Carmona MD, Barbancho MA, Bernal-López MR, Jansen-Chaparro S, Lara JP, Gómez-Huelgas R. Management of older hospitalized patients with type 2 diabetes using linagliptin: Lina-Older study. Panminerva Med 2023; 65:13-19. [PMID: 33880897 DOI: 10.23736/s0031-0808.21.04085-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Older patients managed with intensive antidiabetic therapy are more likely to be harmed. Our study's primary endpoint was to analyze the safety and efficacy of linagliptin in combination with basal insulin versus basal-bolus insulin in patients with 75 years of age or older hospitalized in medicine and surgery departments in real-world clinical practice. METHODS We retrospectively enrolled non-critically patients ≥75 years with type 2 diabetes admitted to medicine and non-cardiac surgery departments with admission glycated hemoglobin <8%, admission blood glucose <240 mg/dL, and without at-home injectable therapies managed with our hospital's antihyperglycemic protocol (basal-bolus or linagliptin-basal regimens) between January 2016 and December 2018. To match each patient who started on the basal-bolus regimen with a patient who started on the linagliptin-basal regimen, a propensity matching analysis was used. RESULTS Postmatching, 198 patients were included in each group. There were no significant differences in mean daily blood glucose levels after admission (P=0.203); patients with mean blood glucose 100-140mg/dL (P=0.134), 140-180mg/dL (P=0.109), or >200mg/dL (P=0.299); and number and day of treatment failure (P=0.159 and P=0.175, respectively). The total insulin dose and the number of daily injections were significantly lower in the linagliptin-basal group (both, P<0.001). Patients on the basal-bolus insulin regimen had more total hypoglycemic events than patients on the linagliptin-basal insulin regimen (P<0.001). CONCLUSIONS The linagliptin-basal insulin regimen was an effective alternative with fewer hypoglycemic events and daily insulin injections than intensive basal-bolus insulin in very old patients with type 2 diabetes with mild-to-moderate hyperglycemia treated at home without injectable therapies.
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Affiliation(s)
- Luis M Pérez-Belmonte
- Service of Internal Medicine, Institute of Biomedical Research of Malaga (IBIMA), Regional University Hospital of Malaga, University of Malaga (UMA), Malaga, Spain - .,Service of Internal Medicine, Helicópteros Sanitarios Hospital, Marbella, Spain - .,Center for Biomedical Research in the Cardiovascular Diseases Network (CIBERCV), Carlos III Health Institute, Madrid, Spain - .,Unit of Cognitive Neurophysiology, Faculty of Medicine, Center for Medical Health Research (CIMES), Institute of Biomedical Research of Malaga (IBIMA), University of Malaga (UMA), Malaga, Spain -
| | - Julio Osuna-Sánchez
- Unit of Cognitive Neurophysiology, Faculty of Medicine, Center for Medical Health Research (CIMES), Institute of Biomedical Research of Malaga (IBIMA), University of Malaga (UMA), Malaga, Spain.,Service of Internal Medicine, Hospital Comarcal de La Axarquía, Málaga, Spain
| | - Michele Ricci
- Service of Internal Medicine, Institute of Biomedical Research of Malaga (IBIMA), Regional University Hospital of Malaga, University of Malaga (UMA), Malaga, Spain
| | - Mercedes Millán-Gómez
- Center for Biomedical Research in the Cardiovascular Diseases Network (CIBERCV), Carlos III Health Institute, Madrid, Spain
| | - María D López-Carmona
- Service of Internal Medicine, Institute of Biomedical Research of Malaga (IBIMA), Regional University Hospital of Malaga, University of Malaga (UMA), Malaga, Spain
| | - Miguel A Barbancho
- Unit of Cognitive Neurophysiology, Faculty of Medicine, Center for Medical Health Research (CIMES), Institute of Biomedical Research of Malaga (IBIMA), University of Malaga (UMA), Malaga, Spain
| | - Maria R Bernal-López
- Service of Internal Medicine, Institute of Biomedical Research of Malaga (IBIMA), Regional University Hospital of Malaga, University of Malaga (UMA), Malaga, Spain.,Center for Biomedical Research in Network Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Health Institute, Madrid, Spain
| | - Sergio Jansen-Chaparro
- Service of Internal Medicine, Institute of Biomedical Research of Malaga (IBIMA), Regional University Hospital of Malaga, University of Malaga (UMA), Malaga, Spain
| | - José P Lara
- Unit of Cognitive Neurophysiology, Faculty of Medicine, Center for Medical Health Research (CIMES), Institute of Biomedical Research of Malaga (IBIMA), University of Malaga (UMA), Malaga, Spain
| | - Ricardo Gómez-Huelgas
- Service of Internal Medicine, Institute of Biomedical Research of Malaga (IBIMA), Regional University Hospital of Malaga, University of Malaga (UMA), Malaga, Spain.,Center for Biomedical Research in Network Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Health Institute, Madrid, Spain
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Wang SH, Shao W, Jiang QH, Zheng XL, Shen QB, Lin XY, Zhang QQ, Zhang LL, Shi XL, Wang WG, Li XJ. Risk Factors for Glycemic Control in Hospitalized Patients with Type 2 Diabetes Receiving Continuous Subcutaneous Insulin Infusion Therapy. Diabetes Ther 2023; 14:167-178. [PMID: 36454378 PMCID: PMC9880112 DOI: 10.1007/s13300-022-01342-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/07/2022] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION Patients with diabetes are confronted with numerous obstacles to achieve adequate glycemic control during hospitalization. The aim of this study was to explore the risk factors associated with glycemic control in hospitalized patients with type 2 diabetes mellitus (T2DM) treated with continuous subcutaneous insulin infusion (CSII). METHODS This cross-sectional study included 5223 patients hospitalized with T2DM in a tertiary hospital in Xiamen (China) between January 2017 and December 2019. All patients were managed according to established protocols for glycemic monitoring and insulin pump treatment regimens. Demographic information and clinical profiles were collected from electronic health records. Multiple linear regression analysis was used to identify the risk factors associated with glycemic control. RESULTS Among the 5223 hospitalized patients with T2DM receiving CSII therapy, 55.2% achieved their ideal blood glucose level (3.9-10.0 mmol/L), 44.5% experienced hyperglycemia (> 10.0 mmol/L), and 0.3% experienced hypoglycemia (< 3.9 mmol/L) during their hospitalization. Multivariate analyses showed that among inpatients with T2DM, older age, male gender, higher low-density lipoprotein-cholesterol (LDL-C) level, lower C-peptide (C-P) level, lower body mass index (BMI), longer duration of diabetes, previous insulin prescriptions, nephropathy, and retinopathy were factors more likely to be associated with a blood glucose level in the hyperglycemic range (P < 0.05). We also observed that among hospitalized patients with T2DM, those with lower BMI, lower C-P, lower LDL-C, longer disease duration, and previous insulin prescriptions were more likely to correlate with a higher proportion of hypoglycemia range (all P < 0.05). CONCLUSION Older age, male gender, lower BMI, lower C-P, higher LDL-C, previous insulin prescriptions, longer duration of diabetes, nephropathy, and retinopathy may be risk factors for a higher proportion of hyperglycemic events in hospitalized patients with T2DM under CSII therapy. Furthermore, lower BMI, lower C-P, lower LDL-C, longer duration of diabetes, and previous insulin prescriptions were found to be important factors for a higher proportion of hypoglycemic events. Evaluating the clinical features, comorbidities, and complications of hospitalized patients is essential to achieve reasonable glycemic control.
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Affiliation(s)
- Shun-Hua Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Wei Shao
- Xinglin Branch, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Qiu-Hui Jiang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China
- The Third Clinical Medical College of Fujian Medical University, Fujian, China
| | - Xuan-Ling Zheng
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Qing-Bao Shen
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Xiao-Yan Lin
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Qiao-Qing Zhang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Lu-Lu Zhang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Xiu-Lin Shi
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Wen-Gui Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China.
| | - Xue-Jun Li
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China.
- The Third Clinical Medical College of Fujian Medical University, Fujian, China.
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7
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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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8
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Halvorsen S, Mehilli J, Cassese S, Hall TS, Abdelhamid M, Barbato E, De Hert S, de Laval I, Geisler T, Hinterbuchner L, Ibanez B, Lenarczyk R, Mansmann UR, McGreavy P, Mueller C, Muneretto C, Niessner A, Potpara TS, Ristić A, Sade LE, Schirmer H, Schüpke S, Sillesen H, Skulstad H, Torracca L, Tutarel O, Van Der Meer P, Wojakowski W, Zacharowski K. 2022 ESC Guidelines on cardiovascular assessment and management of patients undergoing non-cardiac surgery. Eur Heart J 2022; 43:3826-3924. [PMID: 36017553 DOI: 10.1093/eurheartj/ehac270] [Citation(s) in RCA: 284] [Impact Index Per Article: 142.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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Vellanki P, Cardona S, Galindo RJ, Urrutia MA, Pasquel FJ, Davis GM, Fayfman M, Migdal A, Peng L, Umpierrez GE. Efficacy and Safety of Intensive Versus Nonintensive Supplemental Insulin With a Basal-Bolus Insulin Regimen in Hospitalized Patients With Type 2 Diabetes: A Randomized Clinical Study. Diabetes Care 2022; 45:2217-2223. [PMID: 35675498 PMCID: PMC9643128 DOI: 10.2337/dc21-1606] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 04/26/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Administration of supplemental sliding scale insulin for correction of hyperglycemia in non-intensive care unit (ICU) patients with type 2 diabetes is frequently used with basal-bolus insulin regimens. In this noninferiority randomized controlled trial we tested whether glycemic control is similar with and without aggressive sliding scale insulin treatment before meals and bedtime in patients treated with basal-bolus insulin regimens. RESEARCH DESIGN AND METHODS Patients with type 2 diabetes with admission blood glucose (BG) 140-400 mg/dL treated with basal-bolus insulin were randomized to intensive (correction for BG >140 mg/dL, n = 108) or to nonintensive (correction for BG >260 mg/dL, n = 107) administration of rapid-acting sliding scale insulin before meals and bedtime. The groups received the same amount of sliding scale insulin for BG >260 mg/dL. Primary outcome was difference in mean daily BG levels between the groups during hospitalization. RESULTS Mean daily BG in the nonintensive group was noninferior to BG in the intensive group with equivalence margin of 18 mg/dL (intensive 172 ± 38 mg/dL vs. nonintensive 173 ± 43 mg/dL, P = 0.001 for noninferiority). There were no differences in the proportion of target BG readings of 70-180 mg/dL, <70 or <54 mg/dL (hypoglycemia), or >350 mg/dL (severe hyperglycemia) or total, basal, or prandial insulin doses. Significantly fewer subjects received sliding scale insulin in the nonintensive (n = 36 [34%]) compared with the intensive (n = 98 [91%] [P < 0.0001]) group with no differences in sliding scale insulin doses between the groups among those who received sliding scale insulin (intensive 7 ± 4 units/day vs. nonintensive 8 ± 4 units/day, P = 0.34). CONCLUSIONS Among non-ICU patients with type 2 diabetes on optimal basal-bolus insulin regimen with moderate hyperglycemia (BG <260 mg/dL), a less intensive sliding scale insulin treatment did not significantly affect glycemic control.
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Affiliation(s)
- Priyathama Vellanki
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Saumeth Cardona
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Rodolfo J. Galindo
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Maria A. Urrutia
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Francisco J. Pasquel
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Georgia M. Davis
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Maya Fayfman
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Alexandra Migdal
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Limin Peng
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Guillermo E. Umpierrez
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA
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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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11
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Galindo RJ, Dhatariya K, Gomez-Peralta F, Umpierrez GE. Safety and Efficacy of Inpatient Diabetes Management with Non-insulin Agents: an Overview of International Practices. Curr Diab Rep 2022; 22:237-246. [PMID: 35507117 PMCID: PMC9065239 DOI: 10.1007/s11892-022-01464-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/14/2022] [Indexed: 12/25/2022]
Abstract
PURPOSE OF REVIEW The field of inpatient diabetes has advanced significantly over the last 20 years, leading to the development of personalized treatment approaches. However, outdated guidelines still recommend the use of basal-bolus insulin therapy as the preferred treatment approach, and against the use of non-insulin anti-hyperglycemic agents. RECENT FINDINGS Several observational and prospective randomized controlled studies have demonstrated that oral anti-hyperglycemic agents are widely used in the hospital, including studies of DPP-4 agents and GLP-1 agonists. With advances in the field of inpatient diabetes management, a paradigm shift has occurred, from an approach of recommending "basal-bolus regimens" for all patients to a more precision medicine option for hospitalized non-critically ill patients with type 2 diabetes.
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Affiliation(s)
- Rodolfo J Galindo
- Associate Professor of Medicine, Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Atlanta, USA.
| | - Ketan Dhatariya
- Consultant Diabetes & Endocrinology / Honorary Professor, Norwich Medical School, Elsie Bertram Diabetes Centre, Norfolk and Norwich University Hospitals, NHS Foundation Trust, Norwich, UK
| | | | - Guillermo E Umpierrez
- Professor of Medicine, Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Atlanta, USA
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12
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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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13
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Mendez CE, Walker RJ, Dawson AZ, Lu K, Egede LE. Using a Diabetes Risk Score to Identify Patients Without Diabetes at Risk for New Hyperglycemia in the Hospital. Endocr Pract 2021; 27:807-812. [PMID: 33887467 DOI: 10.1016/j.eprac.2021.04.003] [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: 03/02/2021] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To assess the value of a validated diabetes risk test, the Cambridge Risk Score (CRS), to identify patients admitted to hospital without diabetes at risk for new hyperglycemia (NH). METHODS This retrospective cross-sectional study included adults admitted to a hospital over a 4-year period. Patients with no diabetes diagnosis and not on antidiabetics were included. The CRS was calculated for each patient, and those with available glycated hemoglobin (HbA1C) results were investigated in a second analysis. Multivariate regression analyses were performed to assess the association among CRS, HbA1C, and the risk for NH. RESULTS A total of 19,830 subjects comprised the sample, of which 38% were found to have developed NH, defined as a blood glucose level ≥140 mg/dL. After accounting for covariates, the CRS was significantly associated with NH (odds ratio [OR], 1.19 [1.16, 1.22]; P < .001). Only 17% of patients had their HbA1C values checked within 6 months of admission. Compared with patients without diabetes, patients with prediabetes based on their HbA1C level (OR, 1.59 [1.37, 1.86]; P < .001) and patients with undiagnosed diabetes (OR, 5.95 [3.50, 10.65]; P < .001) were also significantly more likely to have NH. CONCLUSION Results of this study show that the CRS and HbA1C levels were significantly associated with the risk of developing NH in inpatient adults without diabetes. Given that an HbA1C level was missing in most medical records of hospitalized patients without diabetes, the CRS could be a useful tool for early identification and management of NH, possibly leading to better outcomes.
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Affiliation(s)
- Carlos E Mendez
- Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin; Division of Diabetes and Endocrinology, Zablocki Veteran Affairs Medical Center, Milwaukee, Wisconsin; Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Rebekah J Walker
- Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin; Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Aprill Z Dawson
- Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin; Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Kevin Lu
- Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Leonard E Egede
- Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin; Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin.
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14
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Pasquel FJ, Lansang MC, Dhatariya K, Umpierrez GE. Management of diabetes and hyperglycaemia in the hospital. Lancet Diabetes Endocrinol 2021; 9:174-188. [PMID: 33515493 PMCID: PMC10423081 DOI: 10.1016/s2213-8587(20)30381-8] [Citation(s) in RCA: 120] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 10/25/2020] [Accepted: 11/02/2020] [Indexed: 01/08/2023]
Abstract
Hyperglycaemia in people with and without diabetes admitted to the hospital is associated with a substantial increase in morbidity, mortality, and health-care costs. Professional societies have recommended insulin therapy as the cornerstone of inpatient pharmacological management. Intravenous insulin therapy is the treatment of choice in the critical care setting. In non-intensive care settings, several insulin protocols have been proposed to manage patients with hyperglycaemia; however, meta-analyses comparing different treatment regimens have not clearly endorsed the benefits of any particular strategy. Clinical guidelines recommend stopping oral antidiabetes drugs during hospitalisation; however, in some countries continuation of oral antidiabetes drugs is commonplace in some patients with type 2 diabetes admitted to hospital, and findings from clinical trials have suggested that non-insulin drugs, alone or in combination with basal insulin, can be used to achieve appropriate glycaemic control in selected populations. Advances in diabetes technology are revolutionising day-to-day diabetes care and work is ongoing to implement these technologies (ie, continuous glucose monitoring, automated insulin delivery) for inpatient care. Additionally, transformations in care have occurred during the COVID-19 pandemic, including the use of remote inpatient diabetes management-research is needed to assess the effects of such adaptations.
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Affiliation(s)
- Francisco J Pasquel
- Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
| | - M Cecilia Lansang
- Department of Endocrinology, Diabetes and Metabolism, Cleveland Clinic, Cleveland, OH, USA
| | - Ketan Dhatariya
- Elsie Bertram Diabetes Centre, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Guillermo E Umpierrez
- Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
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15
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Myers AK, Kim TS, Zhu X, Liu Y, Qiu M, Pekmezaris R. Predictors of mortality in a multiracial urban cohort of persons with type 2 diabetes and novel coronavirus 19. J Diabetes 2021; 13:430-438. [PMID: 33486896 PMCID: PMC8013168 DOI: 10.1111/1753-0407.13158] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/09/2020] [Accepted: 01/18/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Diabetes has been identified as a risk factor for intubation and mortality in patients with coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We seek to examine the impact of clinical variables such as glycosylated hemoglobin (HbA1c) on mortality and need for intubation, as well as demographic variables such as age, sex, and race on persons with type 2 diabetes and COVID-19. METHODS Analyses were conducted on 4413 patients with an International Classification of Diseases and Related Health Problems (ICD-10) diagnosis of type 2 diabetes and COVID-19. Survival analysis was conducted using Kaplan-Meier curves and the log-rank test to compare subgroup analyses. RESULTS In this multivariate analysis, male gender, older age, and hyperglycemia at admission were associated with increased mortality and intubation, but this was not seen for race, ethnicity, insurance type, or HbA1c. Based on Kaplan-Meier analysis, having comorbid conditions such as hypertension, chronic kidney disease, and coronary artery disease was associated with a statistically significant increased risk of mortality. CONCLUSIONS Glycemic levels at admission have a greater impact on health outcomes than HbA1c. Older men and those with comorbid disease are also at greater risk for mortality. Further longitudinal studies need to be done to evaluate the impact of COVID-19 on type 2 diabetes.
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Affiliation(s)
- Alyson K. Myers
- Department of Internal Medicine, Division of EndocrinologyNorth Shore University HospitalManhassetNew YorkUSA
- Center for Health Innovations and Outcomes ResearchNorthwell HealthManhassetNew YorkUSA
- David and Barbara Zucker School of Medicine at Hofstra/NorthwellHempsteadNew YorkUSA
- The Feinstein Institute for Medical ResearchManhassetNew YorkUSA
| | - Tara S. Kim
- David and Barbara Zucker School of Medicine at Hofstra/NorthwellHempsteadNew YorkUSA
- Department of Internal Medicine, Division of EndocrinologyLenox Hill HospitalNew YorkNew YorkUSA
| | - Xu Zhu
- Center for Health Innovations and Outcomes ResearchNorthwell HealthManhassetNew YorkUSA
- The Feinstein Institute for Medical ResearchManhassetNew YorkUSA
- Division of Health Services Research, Department of MedicineCenter for Health Innovations and Outcomes ResearchManhassetNew YorkUSA
| | - Yan Liu
- Center for Health Innovations and Outcomes ResearchNorthwell HealthManhassetNew YorkUSA
| | - Michael Qiu
- Center for Health Innovations and Outcomes ResearchNorthwell HealthManhassetNew YorkUSA
| | - Renee Pekmezaris
- Center for Health Innovations and Outcomes ResearchNorthwell HealthManhassetNew YorkUSA
- David and Barbara Zucker School of Medicine at Hofstra/NorthwellHempsteadNew YorkUSA
- The Feinstein Institute for Medical ResearchManhassetNew YorkUSA
- Division of Health Services Research, Department of MedicineCenter for Health Innovations and Outcomes ResearchManhassetNew YorkUSA
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16
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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/dc21-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/dc21-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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17
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Davis GM, DeCarlo K, Wallia A, Umpierrez GE, Pasquel FJ. Management of Inpatient Hyperglycemia and Diabetes in Older Adults. Clin Geriatr Med 2020; 36:491-511. [PMID: 32586477 PMCID: PMC10695675 DOI: 10.1016/j.cger.2020.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Diabetes is one of the world's fastest growing health challenges. Insulin therapy remains a useful regimen for many elderly patients, such as those with moderate to severe hyperglycemia, type 1 diabetes, hyperglycemic emergencies, and those who fail to maintain glucose control on non-insulin agents alone. Recent clinical trials have shown that several non-insulin agents as monotherapy, or in combination with low doses of basal insulin, have comparable efficacy and potential safety advantages to complex insulin therapy regimens. Determining the most appropriate diabetes management plan for older hospitalized patients requires consideration of many factors to prevent poor outcomes related to dysglycemia.
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Affiliation(s)
- Georgia M Davis
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine, 69 Jesse Hill Jr Drive Southeast, Atlanta, GA 30303, USA
| | - Kristen DeCarlo
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, 645 N. Michigan Ave, Chicago, IL 60611, USA
| | - Amisha Wallia
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, 645 N. Michigan Ave, Chicago, IL 60611, USA
| | - Guillermo E Umpierrez
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine, 69 Jesse Hill Jr Drive Southeast, Atlanta, GA 30303, USA
| | - Francisco J Pasquel
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine, 69 Jesse Hill Jr Drive Southeast, Atlanta, GA 30303, USA.
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18
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Clinical Prediction Tool To Identify Adults With Type 2 Diabetes at Risk for Persistent Adverse Glycemia in Hospital. Can J Diabetes 2020; 45:114-121.e3. [PMID: 33011129 DOI: 10.1016/j.jcjd.2020.06.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 03/06/2020] [Accepted: 06/03/2020] [Indexed: 11/23/2022]
Abstract
OBJECTIVES Given the high incidence of hyperglycemia and hypoglycemia in hospital and the lack of prediction tools for this problem, we developed a clinical tool to assist early identification of individuals at risk for persistent adverse glycemia (AG) in hospital. METHODS We analyzed a cohort of 594 consecutive adult inpatients with type 2 diabetes. We identified clinical factors available early in the admission course that were associated with persistent AG (defined as ≥2 days with capillary glucose <4 or >15 mmol/L during admission). A prediction model for persistent AG was constructed using logistic regression and internal validation was performed using a split-sample approach. RESULTS Persistent AG occurred in 153 (26%) of inpatients, and was associated with admission dysglycemia (odds ratio [OR], 3.65), glycated hemoglobin ≥8.1% (OR, 5.08), glucose-lowering treatment regimen containing sulfonylurea (OR, 3.50) or insulin (OR, 4.22), glucocorticoid medication treatment (OR, 2.27), Charlson Comorbidity Index score and the number of observed days. An early-identification prediction tool, based on clinical factors reliably available at admission (admission dysglycemia, glycated hemoglobin, glucose-lowering regimen and glucocorticoid treatment), could accurately predict persistent AG (receiver-operating characteristic area under curve = 0.806), and, at the optimal cutoff, the sensitivity, specificity and positive predictive value were 84%, 66% and 53%, respectively. CONCLUSIONS A clinical prediction tool based on clinical risk factors available at admission to hospital identified patients at increased risk for persistent AG and could assist early targeted management by inpatient diabetes teams.
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19
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Pasquel FJ, Lansang MC, Khowaja A, Urrutia MA, Cardona S, Albury B, Galindo RJ, Fayfman M, Davis G, Migdal A, Vellanki P, Peng L, Umpierrez GE. A Randomized Controlled Trial Comparing Glargine U300 and Glargine U100 for the Inpatient Management of Medicine and Surgery Patients With Type 2 Diabetes: Glargine U300 Hospital Trial. Diabetes Care 2020; 43:1242-1248. [PMID: 32273271 PMCID: PMC7411278 DOI: 10.2337/dc19-1940] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 03/20/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The role of U300 glargine insulin for the inpatient management of type 2 diabetes (T2D) has not been determined. We compared the safety and efficacy of glargine U300 versus glargine U100 in noncritically ill patients with T2D. RESEARCH DESIGN AND METHODS This prospective, open-label, randomized clinical trial included 176 patients with poorly controlled T2D (admission blood glucose [BG] 228 ± 82 mg/dL and HbA1c 9.5 ± 2.2%), treated with oral agents or insulin before admission. Patients were treated with a basal-bolus regimen with glargine U300 (n = 92) or glargine U100 (n = 84) and glulisine before meals. We adjusted insulin daily to a target BG of 70-180 mg/dL. The primary end point was noninferiority in the mean difference in daily BG between groups. The major safety outcome was the occurrence of hypoglycemia. RESULTS There were no differences between glargine U300 and U100 in mean daily BG (186 ± 40 vs. 184 ± 46 mg/dL, P = 0.62), percentage of readings within target BG of 70-180 mg/dL (50 ± 27% vs. 55 ± 29%, P = 0.3), length of stay (median [IQR] 6.0 [4.0, 8.0] vs. 4.0 [3.0, 7.0] days, P = 0.06), hospital complications (6.5% vs. 11%, P = 0.42), or insulin total daily dose (0.43 ± 0.21 vs. 0.42 ± 0.20 units/kg/day, P = 0.74). There were no differences in the proportion of patients with BG <70 mg/dL (8.7% vs. 9.5%, P > 0.99), but glargine U300 resulted in significantly lower rates of clinically significant hypoglycemia (<54 mg/dL) compared with glargine U100 (0% vs. 6.0%, P = 0.023). CONCLUSIONS Hospital treatment with glargine U300 resulted in similar glycemic control compared with glargine U100 and may be associated with a lower incidence of clinically significant hypoglycemia.
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Affiliation(s)
| | | | - Ameer Khowaja
- Hennepin County Medical Center, University of Minnesota, Minneapolis, MN
| | | | | | | | | | - Maya Fayfman
- Emory University School of Medicine, Atlanta, GA
| | | | | | | | - Limin Peng
- Rollins School of Public Health, Emory University, Atlanta, GA
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20
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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/dc20-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/dc20-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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21
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Abstract
PURPOSE OF REVIEW Coordination of glucose monitoring, mealtimes, and insulin delivery in the hospital is complex, involving interactions between multiple key agents and overlapping workflows. The purpose of this review is to evaluate the scope of the problem as well as to assess evidence for interventions. RECENT FINDINGS In recent years, there has been an emphasis on systems-based approaches which address multiple contributing components of the problem at once in an effort to more seamlessly integrate workflows. Technological advances, such as decision support systems and advances in automated insulin delivery, and strategies that minimize the need for complex insulin regimens hold promise for future study. Evaluation of the coordination of insulin delivery is limited by a lack of standardized metrics and systematically collected mealtimes. Nevertheless, successful efforts include system-wide multicomponent interventions, though advances in therapeutic approaches may be of value.
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Affiliation(s)
- Kathleen Dungan
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, 43210, USA.
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22
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Montero AR, Dubin JS, Sack P, Magee MF. Future technology-enabled care for diabetes and hyperglycemia in the hospital setting. World J Diabetes 2019; 10:473-480. [PMID: 31558981 PMCID: PMC6748879 DOI: 10.4239/wjd.v10.i9.473] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 08/13/2019] [Accepted: 08/27/2019] [Indexed: 02/05/2023] Open
Abstract
Patients with diabetes are increasingly common in hospital settings where optimal glycemic control remains challenging. Inpatient technology-enabled support systems are being designed, adapted and evaluated to meet this challenge. Insulin pump use, increasingly common in outpatients, has been shown to be safe among select inpatients. Dedicated pump protocols and provider training are needed to optimize pump use in the hospital. Continuous glucose monitoring (CGM) has been shown to be comparable to usual care for blood glucose surveillance in intensive care unit (ICU) settings but data on cost effectiveness is lacking. CGM use in non-ICU settings remains investigational and patient use of home CGM in inpatient settings is not recommended due to safety concerns. Compared to unstructured insulin prescription, a continuum of effective electronic medical record-based support for insulin prescription exists from passive order sets to clinical decision support to fully automated electronic Glycemic Management Systems. Relative efficacy and cost among these systems remains unanswered. An array of novel platforms are being evaluated to engage patients in technology-enabled diabetes education in the hospital. These hold tremendous promise in affording universal access to hospitalized patients with diabetes to effective self-management education and its attendant short/long term clinical benefits.
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Affiliation(s)
- Alex Renato Montero
- MedStar Diabetes Institute, Washington, DC 20010, United States
- Department of Medicine, MedStar Georgetown University Hospital, Washington, DC 20007, United States
| | - Jeffrey S Dubin
- MedStar Washington Hospital Center, Washington, DC 20010, United States
| | - Paul Sack
- MedStar Diabetes Institute, Washington, DC 20010, United States
- MedStar Union Memorial Hospital, Baltimore, MD 21218, United States
| | - Michelle F Magee
- MedStar Diabetes Institute, Washington, DC 20010, United States
- MedStar Health Research Institute, Washington, DC 20010, United States
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23
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Pasquel FJ, Fayfman M, Umpierrez GE. Debate on Insulin vs Non-insulin Use in the Hospital Setting-Is It Time to Revise the Guidelines for the Management of Inpatient Diabetes? Curr Diab Rep 2019; 19:65. [PMID: 31353426 DOI: 10.1007/s11892-019-1184-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE OF REVIEW Hyperglycemia contributes to a significant increase in morbidity, mortality, and healthcare costs in the hospital. Professional associations recommend insulin as the mainstay of diabetes therapy in the inpatient setting. The standard of care basal-bolus insulin regimen is a labor-intensive approach associated with a significant risk of iatrogenic hypoglycemia. This review summarizes recent evidence from observational studies and clinical trials suggesting that not all patients require treatment with complex insulin regimens. RECENT FINDINGS Evidence from clinical trials shows that incretin-based agents are effective in appropriately selected hospitalized patients and may be a safe alternative to complicated insulin regimens. Observational studies also show that older agents (i.e., metformin and sulfonylureas) are commonly used in the hospital, but there are few carefully designed studies addressing their efficacy. Therapy with dipeptidyl peptidase-4 (DPP-4) inhibitors, alone or in combination with basal insulin, may effectively control glucose levels in patients with mild to moderate hyperglycemia. Further studies with glucagon-like peptide-1 (GLP-1) receptor analogs and older oral agents are needed to confirm their safety in the hospital.
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Affiliation(s)
- Francisco J Pasquel
- Department of Medicine/Endocrinology, Emory University School of Medicine, 69 Jesse Hill Jr Dr, Atlanta, GA, 30303, USA
| | - Maya Fayfman
- Department of Medicine/Endocrinology, Emory University School of Medicine, 69 Jesse Hill Jr Dr, Atlanta, GA, 30303, USA
| | - Guillermo E Umpierrez
- Department of Medicine/Endocrinology, Emory University School of Medicine, 69 Jesse Hill Jr Dr, Atlanta, GA, 30303, USA.
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Pérez-Belmonte LM, Osuna-Sánchez J, Millán-Gómez M, López-Carmona MD, Gómez-Doblas JJ, Cobos-Palacios L, Sanz-Cánovas J, Barbancho MA, Lara JP, Jiménez-Navarro M, Bernal-López MR, Gómez-Huelgas R. Glycaemic efficacy and safety of linagliptin for the management of non-cardiac surgery patients with type 2 diabetes in a real-world setting: Lina-Surg study. Ann Med 2019; 51:252-261. [PMID: 31037970 PMCID: PMC7877876 DOI: 10.1080/07853890.2019.1613672] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Introduction: The use of dipeptidyl peptidase-4 inhibitors in hospitalized patients is an area of active research. We aimed to compare the efficacy and the safety of the basal-bolus insulin regimen versus linagliptin-basal insulin in non-critically ill non-cardiac surgery patients in a real-world setting. Methods: We enrolled patients with type 2 diabetes hospitalized in non-cardiac surgery departments with admission glycated haemoglobin level < 8%, admission blood glucose concentration < 240 mg/dL, and no at-home injectable treatments who were treated with basal-bolus (n = 347) or linagliptin-basal (n = 190) regimens between January 2016 and December 2017. To match patients on the two regimens, a propensity matching analysis was performed. Results: After matching, 120 patients were included in each group. No differences were noted in mean blood glucose concentration after admission (p = .162), number of patients with a mean blood glucose 100-140 mg/dL (p = .163) and > 200 mg/dL (p = .199), and treatment failures (p = .395). Total daily insulin and number of daily insulin injections were lower in the linagliptin-basal group (both p < .001). Patients on linagliptin-basal insulin had fewer hypoglycaemic events (blood glucose < 70 mg/dL) (p < .001). Conclusion: For type 2 diabetes surgery patients with mild to moderate hyperglycaemia without pre-hospitalization injectable therapies, linagliptin-basal insulin was an effective, safe alternative with fewer hypoglycaemic events in real-world practice. Key messages Treatment with basal-bolus insulin regimens is the standard of care for non-critically ill hospitalized patients with type 2 diabetes. A differentiated treatment protocol that takes into account glycaemic control and clinical factors should be implemented in the hospital setting. Linagliptin-basal insulin is an effective, safe alternative with fewer hypoglycaemic events during the hospitalization of non-critically ill non-cardiac surgery patients with T2D in real-world practice.
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Affiliation(s)
- Luis M Pérez-Belmonte
- a Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain.,b Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV) , Instituto de Salud Carlos III , Madrid , Spain.,c Unidad de Neurofisiología Cognitiva, Centro de Investigaciones Médico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Campus de Excelencia Internacional (CEI) Andalucía Tech , Málaga , Spain
| | - Julio Osuna-Sánchez
- d Servicio de Medicina Interna , Hospital Comarcal de Melilla , Melilla , Spain
| | - Mercedes Millán-Gómez
- b Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV) , Instituto de Salud Carlos III , Madrid , Spain.,e Unidad de Gestión Clínica Área del Corazón, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain
| | - María D López-Carmona
- a Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain
| | - Juan J Gómez-Doblas
- b Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV) , Instituto de Salud Carlos III , Madrid , Spain.,e Unidad de Gestión Clínica Área del Corazón, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain
| | - Lidia Cobos-Palacios
- a Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain
| | - Jaime Sanz-Cánovas
- a Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain
| | - Miguel A Barbancho
- c Unidad de Neurofisiología Cognitiva, Centro de Investigaciones Médico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Campus de Excelencia Internacional (CEI) Andalucía Tech , Málaga , Spain
| | - José P Lara
- c Unidad de Neurofisiología Cognitiva, Centro de Investigaciones Médico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Campus de Excelencia Internacional (CEI) Andalucía Tech , Málaga , Spain
| | - Manuel Jiménez-Navarro
- b Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV) , Instituto de Salud Carlos III , Madrid , Spain.,e Unidad de Gestión Clínica Área del Corazón, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain
| | - M Rosa Bernal-López
- a Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain.,f Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) , Instituto de Salud Carlos III , Madrid , Spain
| | - Ricardo Gómez-Huelgas
- a Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA) , Universidad de Málaga (UMA) , Málaga , Spain.,f Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) , Instituto de Salud Carlos III , Madrid , Spain
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Carruthers D, Ismaily M, Vanderheiden A, Yates M, DeGueme A, Adams-Huet B, Basani S, Abreu M, Lingvay I. DETERMINING INSULIN DOSE AT THE TIME OF DISCHARGE IN A HIGH-RISK POPULATION: IS THERE ROOM FOR IMPROVEMENT? Endocr Pract 2019; 25:263-269. [PMID: 30913008 DOI: 10.4158/ep-2018-0434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To evaluate the adequacy of the insulin dose prescribed at hospital discharge in a high-risk population and assess patient characteristics that influence insulin dose requirement in the immediate postdischarge period. METHODS This was a retrospective study conducted at Parkland Health System. We included all patients admitted to a medical floor who received an insulin prescription at discharge and had at least one follow-up visit within 6 months of discharge. All data were extracted by a detailed manual review of each electronic medical record. RESULTS At the postdischarge follow-up (N = 797, median 33 days from discharge), 60% of patients required an insulin dose adjustment; 47% of the patients required a dose decrease. Significant predictors of a decrease insulin requirement postdischarge included (multiple regression beta coefficient [95% confidence interval]): newly diagnosed diabetes, -12.7 (-17.7, -7.7); ketosis-prone diabetes, -8.4 (-15, -1.8); glycated hemoglobin A1c (HbA1c), <10% (86 mmol/mol) -7.0 (-11.4, -2.6); discharge insulin total daily dose, -5.3 (-9.3, -1.3); and metformin prescription, -4.9 (-8.4, -1.3). CONCLUSION An insulin dose adjustment (most commonly a decrease) was necessary shortly after discharge in more than half of our patients. A better model to estimate insulin dose at discharge is needed along with short-term follow-up after discharge for insulin titration. A pre-emptive insulin dose reduction at discharge should be considered for patients with newly diagnosed diabetes, ketosis-prone diabetes, metformin prescription, and those with HbA1c <10% at presentation. ABBREVIATIONS DKA = diabetic ketoacidosis; HbA1c = glycated hemoglobin A1c; KPDM = ketosis-prone diabetes mellitus; TDD = total daily dose.
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes 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, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Pérez-Belmonte LM, Gómez-Doblas JJ, Millán-Gómez M, López-Carmona MD, Guijarro-Merino R, Carrasco-Chinchilla F, de Teresa-Galván E, Jiménez-Navarro M, Bernal-López MR, Gómez-Huelgas R. Use of Linagliptin for the Management of Medicine Department Inpatients with Type 2 Diabetes in Real-World Clinical Practice (Lina-Real-World Study). J Clin Med 2018; 7:jcm7090271. [PMID: 30208631 PMCID: PMC6162816 DOI: 10.3390/jcm7090271] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 09/07/2018] [Accepted: 09/08/2018] [Indexed: 01/14/2023] Open
Abstract
The use of noninsulin antihyperglycaemic drugs in the hospital setting has not yet been fully described. This observational study compared the efficacy and safety of the standard basal-bolus insulin regimen versus a dipeptidyl peptidase-4 inhibitor (linagliptin) plus basal insulin in medicine department inpatients in real-world clinical practice. We retrospectively enrolled non-critically ill patients with type 2 diabetes with mild to moderate hyperglycaemia and no injectable treatments at home who were treated with a hospital antihyperglycaemic regimen (basal-bolus insulin, or linagliptin-basal insulin) between January 2016 and December 2017. Propensity score was used to match patients in both treatment groups and a comparative analysis was conducted to test the significance of differences between groups. After matched-pair analysis, 227 patients were included per group. No differences were shown between basal-bolus versus linagliptin-basal regimens for the mean daily blood glucose concentration after admission (standardized difference = 0.011), number of blood glucose readings between 100–140 mg/dL (standardized difference = 0.017) and >200 mg/dL (standardized difference = 0.021), or treatment failures (standardized difference = 0.011). Patients on basal-bolus insulin received higher total insulin doses and a higher daily number of injections (standardized differences = 0.298 and 0.301, respectively). Basal and supplemental rapid-acting insulin doses were similar (standardized differences = 0.003 and 0.012, respectively). There were no differences in hospital stay length (standardized difference = 0.003), hypoglycaemic events (standardized difference = 0.018), or hospital complications (standardized difference = 0.010) between groups. This study shows that in real-world clinical practice, the linagliptin-basal insulin regimen was as effective and safe as the standard basal-bolus regimen in non-critical patients with type 2 diabetes with mild to moderate hyperglycaemia treated at home without injectable therapies.
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Affiliation(s)
- Luis M Pérez-Belmonte
- Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Juan J Gómez-Doblas
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Unidad de Gestión Clínica Área del Corazón, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
| | - Mercedes Millán-Gómez
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Unidad de Gestión Clínica Área del Corazón, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
| | - María D López-Carmona
- Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
| | - Ricardo Guijarro-Merino
- Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
| | - Fernando Carrasco-Chinchilla
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Unidad de Gestión Clínica Área del Corazón, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
| | - Eduardo de Teresa-Galván
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Unidad de Gestión Clínica Área del Corazón, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
| | - Manuel Jiménez-Navarro
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Unidad de Gestión Clínica Área del Corazón, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
| | - M Rosa Bernal-López
- Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Ricardo Gómez-Huelgas
- Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain.
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Gianchandani RY, Pasquel FJ, Rubin DJ, Dungan KM, Vellanki P, Wang H, Anzola I, Gomez P, Hodish I, Lathkar-Pradhan S, Iyengar J, Umpierrez GE. THE EFFICACY AND SAFETY OF CO-ADMINISTRATION OF SITAGLIPTIN WITH METFORMIN IN PATIENTS WITH TYPE 2 DIABETES AT HOSPITAL DISCHARGE. Endocr Pract 2018; 24:556-564. [PMID: 29949432 DOI: 10.4158/ep-2018-0036] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Few randomized controlled trials have focused on the optimal management of patients with type 2 diabetes (T2D) during the transition from the inpatient to outpatient setting. This multicenter open-label study explored a discharge strategy based on admission hemoglobin A1c (HbA1c) to guide therapy in general medicine and surgery patients with T2D. METHODS Patients with HbA1c ≤7% (53 mmol/mol) were discharged on sitagliptin and metformin; patients with HbA1c between 7 and 9% (53-75 mmol/mol) and those >9% (75 mmol/mol) were discharged on sitagliptinmetformin with glargine U-100 at 50% or 80% of the hospital daily dose. The primary outcome was change in HbA1c at 3 and 6 months after discharge. RESULTS Mean HbA1c on admission for the entire cohort (N = 253) was 8.70 ± 2.3% and decreased to 7.30 ± 1.5% and 7.30 ± 1.7% at 3 and 6 months ( P<.001). Patients with HbA1c <7% went from 6.3 ± 0.5% to 6.3 ± 0.80% and 6.2 ± 1.0% at 3 and 6 months. Patients with HbA1c between 7 and 9% had a reduction from 8.0 ± 0.6% to 7.3 ± 1.1% and 7.3 ± 1.3%, and those with HbA1c >9% from 11.3 ± 1.7% to 8.0 ± 1.8% and 8.0 ± 2.0% at 3 and 6 months after discharge (both P<.001). Clinically significant hypoglycemia (<54 mg/dL) was observed in 4%, 4%, and 7% among patients with a HbA1c <7%, 7 to 9%, and >9%, while a glucose <40 mg/dL was reported in <1% in all groups. CONCLUSION The proposed HbA1c-based hospital discharge algorithm using a combination of sitagliptin-metformin was safe and significantly improved glycemic control after hospital discharge in general medicine and surgery patients with T2D. ABBREVIATIONS BG = blood glucose; DPP-4 = dipeptidyl peptidase-4; eGFR = estimated glomerular filtration rate; HbA1c = hemoglobin A1c; T2D = type 2 diabetes.
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Effect of Preoperative Diabetes Management on Glycemic Control and Clinical Outcomes After Elective Surgery. Ann Surg 2018; 267:858-862. [DOI: 10.1097/sla.0000000000002323] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes 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, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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31
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Advances in Managing Type 2 Diabetes in the Elderly: A Focus on Inpatient Care and Transitions of Care. Am J Ther 2018. [DOI: 10.1097/mjt.0000000000000667] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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32
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Quintanilla-Flores DL, González-González JG, García-De la Cruz G, Tamez-Pérez HE. Neutral protamine hagedorn/regular insulin in the treatment of inpatient hyperglycemia: Comparison of 3 basal-bolus regimens. World J Diabetes 2017; 8:455-463. [PMID: 29085572 PMCID: PMC5648991 DOI: 10.4239/wjd.v8.i10.455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 03/28/2017] [Accepted: 05/05/2017] [Indexed: 02/05/2023] Open
Abstract
AIM To compare the safety and efficacy or 3 basal-bolus regimens of neutral protamine hagedorn (NPH)/regular insulin in the management of inpatient hyperglycemia.
METHODS We randomized 105 patients with blood glucose levels between 140 and 400 mg/dL to a basal-bolus regimen of NPH insulin given once (n = 30), twice (n = 40) or three times (n = 35) daily, in addition to pre-meal regular insulin. Major outcomes included were differences in glycemic control, frequency of hypoglycemia and total insulin dose.
RESULTS NPH insulin given in a once-daily regimen was associated with better glycemic control (58.3%) compared to twice daily (42.4%) and three times daily (48.9) regimens (P = 0.031). The frequency of hypoglycemia was similar between the three groups (2.0%, 0.7% and 1.2%, P = 0.21). The mean insulin dose at discharge was 0.48 ± 0.14 U/kg in the once-daily group compared to 0.69 ± 0.28 in the twice-daily, and 0.65 ± 0.20 in the three times daily regimens (P < 0.001).
CONCLUSION NPH insulin administered in a once-daily regimen resulted in improvement in glycemic control with similar rates of hypoglycemia compared to a twice-daily and a three times-daily regimen. Further studies are needed to evaluate whether this regimen could be implemented in all hospitalized patients with hyperglycemia.
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Affiliation(s)
- Dania Lizet Quintanilla-Flores
- Department of Internal Medicine, “Dr. José Eleuterio González” University Hospital, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León 64460, México
| | - José Gerardo González-González
- Endocrinology Service, “Dr. José Eleuterio González” University Hospital, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León 64460, México
| | | | - Héctor Eloy Tamez-Pérez
- Research Division, School of Medicine, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León 64460, México
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Kedia R, Desouza C, Smith LM, Shivaswamy V. A retrospective review of insulin requirements in patients using U-500 insulin hospitalized to a Veterans Affairs Hospital. J Diabetes Complications 2017; 31:874-879. [PMID: 28274680 DOI: 10.1016/j.jdiacomp.2017.02.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 01/13/2017] [Accepted: 02/16/2017] [Indexed: 12/01/2022]
Abstract
AIMS The aim of this study was to compare the changes in the total daily dose (TDD) of insulin of patients on U-500 insulin; before hospitalization, during hospitalization and six weeks after discharge. METHODS A retrospective chart review of veterans with type 2 diabetes receiving U-500 insulin in the ambulatory setting and who were admitted between 2012 and 2015 was performed. During hospitalization, patients were transitioned to receive U-100 insulin (detemir or glargine for basal and aspart for bolus). Paired t-tests were conducted to compare TDD of insulin during hospitalization to prior to admission and at six week of follow-up. RESULTS The average hemoglobin A1c at the time of hospital admission was 8.3±1.5% (n=20). The average TDD of insulin during hospitalization (124±67units) was significantly less than prior to admission (295±123units) and at six week follow-up (310±105units). The average glucose during hospitalization was 180±36mg/dL. Hypoglycemia was less than 0.5%. CONCLUSION We showed that patients received significantly less total daily insulin while hospitalized compared to their insulin doses in the ambulatory setting, and we demonstrate that patients receiving U-500 insulin can be safely transitioned to U-100 insulin while hospitalized, with minimal hypoglycemia.
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Affiliation(s)
- Rohit Kedia
- Department of Internal Medicine, Omaha, NE, United States.
| | - Cyrus Desouza
- VA Nebraska-Western Iowa Health Care System, Omaha, NE, United States; Department of Internal Medicine, Omaha, NE, United States.
| | - Lynette M Smith
- Department of Biostatistics, College of Public Health, 984375, University of Nebraska Medical Center, Omaha, NE 68198-4375, United States.
| | - Vijay Shivaswamy
- VA Nebraska-Western Iowa Health Care System, Omaha, NE, United States; Department of Internal Medicine, Omaha, NE, United States.
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Umpierrez GE, Pasquel FJ. Management of Inpatient Hyperglycemia and Diabetes in Older Adults. Diabetes Care 2017; 40:509-517. [PMID: 28325798 PMCID: PMC5864102 DOI: 10.2337/dc16-0989] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Accepted: 11/02/2016] [Indexed: 02/03/2023]
Abstract
Adults aged 65 years and older are the fastest growing segment of the U.S. population, and their number is expected to double to 89 million between 2010 and 2050. The prevalence of diabetes in hospitalized adults aged 65-75 years and over 80 years of age has been estimated to be 20% and 40%, respectively. Similar to general populations, the presence of hyperglycemia and diabetes in elderly patients is associated with increased risk of hospital complications, longer length of stay, and increased mortality compared with subjects with normoglycemia. Clinical guidelines recommend target blood glucose between 140 and 180 mg/dL (7.8 and 10 mmol/L) for most patients in the intensive care unit (ICU). A similar blood glucose target is recommended for patients in non-ICU settings; however, glycemic targets should be individualized in older adults on the basis of a patient's clinical status, risk of hypoglycemia, and presence of diabetes complications. Insulin is the preferred agent to manage hyperglycemia and diabetes in the hospital. Continuous insulin infusion in the ICU and rational use of basal-bolus or basal plus supplement regimens in non-ICU settings are effective in achieving glycemic goals. Noninsulin regimens with the use of dipeptidyl peptidase 4 inhibitors alone or in combination with basal insulin have been shown to be safe and effective and may represent an alternative to basal-bolus regimens in elderly patients. Smooth transition of care to the outpatient setting is facilitated by providing oral and written instructions regarding timing and dosing of insulin as well as education in basic skills for home management.
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Affiliation(s)
- Guillermo E Umpierrez
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA
| | - Francisco J Pasquel
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA
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35
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Pasquel FJ, Gianchandani R, Rubin DJ, Dungan KM, Anzola I, Gomez PC, Peng L, Hodish I, Bodnar T, Wesorick D, Balakrishnan V, Osei K, Umpierrez GE. Efficacy of sitagliptin for the hospital management of general medicine and surgery patients with type 2 diabetes (Sita-Hospital): a multicentre, prospective, open-label, non-inferiority randomised trial. Lancet Diabetes Endocrinol 2017; 5:125-133. [PMID: 27964837 DOI: 10.1016/s2213-8587(16)30402-8] [Citation(s) in RCA: 111] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 10/29/2016] [Accepted: 11/01/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND The role of incretin-based drugs in the treatment of patients with type 2 diabetes admitted to hospital has not been extensively assessed. In this study, we compared the safety and efficacy of a dipeptidyl peptidase-4 inhibitor (sitagliptin) plus basal insulin with a basal-bolus insulin regimen for the management of patients with type 2 diabetes in general medicine and surgery in hospitals. METHODS We did a multicentre, prospective, open-label, non-inferiority randomised clinical trial (Sita-Hospital) in five hospitals in the USA, enrolling patients aged 18-80 years with type 2 diabetes and a random blood glucose concentration of 7·8-22·2 mmol/L who were being treated with diet or oral antidiabetic drugs or had a total daily insulin dose of 0·6 units per kg or less, admitted to general medicine and surgery services. We randomly assigned patients (1:1) to receive either sitagliptin plus basal glargine once daily (the sitagliptin-basal group) or a basal-bolus regimen with glargine once daily and rapid-acting insulin lispro or aspart before meals (the basal-bolus group) during the hospital stay. All other antidiabetic drugs were discontinued on admission. The randomisation was achieved by computer-generated tables with block stratification according to randomisation blood glucose concentrations (ie, higher or lower than 11·1 mmol/L). The primary endpoint of the trial was non-inferiority in mean differences between groups in their daily blood glucose concentrations during the first 10 days of therapy (point-of-care measurements; non-inferiority was deemed a difference <1 mmol/L). The safety endpoints included hypoglycaemia and uncontrolled hyperglycaemia leading to treatment failure. All participants who received at least one dose of study drug were included in the analysis. This study is registered with ClinicalTrials.gov, number NCT01845831. FINDINGS Between Aug 23, 2013, and July 27, 2015, we recruited 279 patients, and randomly assigned 277 to treatment; 138 to sitagliptin-basal and 139 to basal-bolus. The length of stay in hospital was similar for both groups (median 4 days [IQR 3-8] vs 4 [3-8] days, p=0·54). The mean daily blood glucose concentration in the sitagliptin-basal group (9·5 mmol/L [SD 2·7]) was not inferior to that in the basal-bolus group 9·4 mmol/L [2·7]) with a mean blood glucose difference of 0·1 mmol/L (95% CI -0·6 to 0·7). No deaths occurred in this trial. Treatment failure occurred in 22 patients (16%) in the sitagliptin-basal group versus 26 (19%) in the basal-bolus group (p=0·54). Hypoglycaemia occurred in 13 patients (9%) in the sitagliptin-basal group and in 17 (12%) in the basal-bolus group (p=0·45). No differences in hospital complications were noted between groups. Seven patients (5%) developed acute kidney injury in the sitagliptin-basal group and six (4%) in the basal-bolus group. One patient (0·7%) developed acute pancreatitis (in the basal-bolus group). INTERPRETATION The trial met the non-inferiority threshold for the primary endpoint, because there was no significant difference between groups in mean daily blood glucose concentrations. Treatment with sitagliptin plus basal insulin is as effective and safe as, and a convenient alternative to, the labour-intensive basal-bolus insulin regimen for the management of hyperglycaemia in patients with type 2 diabetes admitted to general medicine and surgery services in hospital in the non-intensive-care setting. FUNDING Merck.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Tim Bodnar
- University of Michigan, Ann Arbor, MI, USA
| | | | | | - Kwame Osei
- Ohio State University, Columbus, OH, USA
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Garg R, Schuman B, Hurwitz S, Metzger C, Bhandari S. Safety and efficacy of saxagliptin for glycemic control in non-critically ill hospitalized patients. BMJ Open Diabetes Res Care 2017; 5:e000394. [PMID: 28405346 PMCID: PMC5372055 DOI: 10.1136/bmjdrc-2017-000394] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 03/02/2017] [Accepted: 03/09/2017] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE To evaluate whether saxagliptin is non-inferior to basal-bolus insulin therapy for glycemic control in patients with controlled type 2 diabetes mellitus (T2DM) admitted to hospital with non-critical illnesses. RESEARCH DESIGN AND METHODS This was an open-label, randomized controlled clinical trial. Patients received either saxagliptin or basal-bolus insulin, both with correctional insulin doses. The main study outcome was the mean daily blood glucose (BG) after the first day of randomization. RESULTS Of 66 patients completing the study, 33 (age 69±10 years, 40% men) were randomized to saxagliptin and 33 (age 67±10 years, 52% men) to basal-bolus insulin therapy. The mean daily BG was 149.8±22.0 mg/dL in the saxagliptin group and 146.9±30.5 mg/dL in the insulin group (p=0.59). With an observed group difference of 2.9 mg/dL and an a priori margin of 20 mg/dL, inferiority of saxagliptin was rejected in favor of non-inferiority (p=0.007). There was no significant difference in the percentage of high or low BG values. The insulin group received a higher number of insulin injections (2.3±1.7/day vs 1.2±1.9/day; p<0.001) as well as a higher daily insulin dose (13.3±12.9 units/day vs 2.4±3.3 units/day; p<0.001) than did the saxagliptin group. Continuous BG monitoring showed that glycemic variability was lower in the saxagliptin group as compared to the insulin group. Patient satisfaction scores were similar in the two groups. CONCLUSIONS We conclude that saxagliptin use is non-inferior to basal-bolus insulin in non-critically ill hospitalized patients with T2DM controlled on 0-2 oral agents without insulin. Saxagliptin use may decrease glycemic variability in these patients. TRIAL REGISTRATION NUMBER NCT02182895.
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Affiliation(s)
- Rajesh Garg
- Division of Endocrinology, Diabetes, and Hypertension , Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts , USA
| | - Brooke Schuman
- Division of Endocrinology, Diabetes, and Hypertension , Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts , USA
| | - Shelley Hurwitz
- Division of Endocrinology, Diabetes, and Hypertension , Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts , USA
| | - Cheyenne Metzger
- Division of Endocrinology, Diabetes, and Hypertension , Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts , USA
| | - Shreya Bhandari
- Division of Endocrinology, Diabetes, and Hypertension , Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts , USA
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Gosmanov AR. A practical and evidence-based approach to management of inpatient diabetes in non-critically ill patients and special clinical populations. J Clin Transl Endocrinol 2016; 5:1-6. [PMID: 29067228 PMCID: PMC5644436 DOI: 10.1016/j.jcte.2016.05.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 05/05/2016] [Accepted: 05/06/2016] [Indexed: 12/13/2022] Open
Abstract
Inpatient diabetes is a common medical problem encountered in up to 25-30% of hospitalized patients. Several prospective trials showed benefits of structured insulin therapy in managing inpatient hyperglycemia albeit in the expense of high hypoglycemia risk. These approaches, however, remain underutilized in hospital practice. In this review, we discuss clinical applications and limitations of current therapeutic strategies. Considerations for glycemic strategies in special clinical populations are also discussed. We suggest that given the complexity of inpatient glycemic control factors, the "one size fits all" approach should be modified to safe and less complex patient-centered evidence-based treatment strategies without compromising the treatment efficacy.
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Affiliation(s)
- Aidar R. Gosmanov
- Endocrinology Section, Stratton VAMC, 113 Holland Avenue, Albany, NY 12208, USA
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Duggan EW, Klopman MA, Berry AJ, Umpierrez G. The Emory University Perioperative Algorithm for the Management of Hyperglycemia and Diabetes in Non-cardiac Surgery Patients. Curr Diab Rep 2016; 16:34. [PMID: 26971119 DOI: 10.1007/s11892-016-0720-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Hyperglycemia is a frequent manifestation of critical and surgical illness, resulting from the acute metabolic and hormonal changes associated with the response to injury and stress (Umpierrez and Kitabchi, Curr Opin Endocrinol. 11:75-81, 2004; McCowen et al., Crit Care Clin. 17(1):107-24, 2001). The exact prevalence of hospital hyperglycemia is not known, but observational studies have reported a prevalence of hyperglycemia ranging from 32 to 60 % in community hospitals (Umpierrez et al., J Clin Endocrinol Metab. 87(3):978-82, 2002; Cook et al., J Hosp Med. 4(9):E7-14, 2009; Farrokhi et al., Best Pract Res Clin Endocrinol Metab. 25(5):813-24, 2011), and 80 % of patients after cardiac surgery (Schmeltz et al., Diabetes Care 30(4):823-8, 2007; van den Berghe et al., N Engl J Med. 345(19):1359-67, 2001). Retrospective and randomized controlled trials in surgical populations have reported that hyperglycemia and diabetes are associated with increased length of stay, hospital complications, resource utilization, and mortality (Frisch et al., Diabetes Care 33(8):1783-8, 2010; Kwon et al., Ann Surg. 257(1):8-14, 2013; Bower et al., Surgery 147(5):670-5, 2010; Noordzij et al., Eur J Endocrinol. 156(1):137-42, 2007; Mraovic et al., J Arthroplasty 25(1):64-70, 2010). Substantial evidence indicates that correction of hyperglycemia reduces complications in critically ill, as well as in general surgery patients (Umpierrez et al., J Clin Endocrinol Metab. 87(3):978-82, 2002; Clement et al., Diabetes Care 27(2):553-97, 2004; Pomposelli et al., JPEN J Parented Enteral Nutr. 22(2):77-81, 1998). This manuscript reviews the pathophysiology of stress hyperglycemia during anesthesia and the perioperative period. We provide a practical outline for the diagnosis and management of preoperative, intraoperative, and postoperative care of patients with diabetes and hyperglycemia.
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Affiliation(s)
| | - Matthew A Klopman
- Department of Anesthesiology, Emory University Hospital, Atlanta, USA
| | - Arnold J Berry
- Department of Anesthesiology, Emory University Hospital, Atlanta, USA
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Fayfman M, Vellanki P, Alexopoulos AS, Buehler L, Zhao L, Smiley D, Haw S, Weaver J, Pasquel FJ, Umpierrez GE. Report on Racial Disparities in Hospitalized Patients with Hyperglycemia and Diabetes. J Clin Endocrinol Metab 2016; 101:1144-50. [PMID: 26735258 PMCID: PMC4803176 DOI: 10.1210/jc.2015-3220] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 12/30/2015] [Indexed: 11/19/2022]
Abstract
CONTEXT A higher prevalence of diabetes-related complications is reported in minority populations; however, it is not known if there are racial disparities in diabetes care and outcomes in hospitalized patients. OBJECTIVE Our objective was to determine the association between hyperglycemia, in patients with and without diabetes mellitus (non-DM), and complications among different racial groups. DESIGN This observational study compared the frequency of hyperglycemia (blood glucose ≥ 180 mg/dL; 10 mmol/L) and DM and hospital complications between Black and White patients hospitalized patients between January 2012 and December 2013. SETTING AND PARTICIPANTS Adults admitted to medical and surgery services in two academic hospitals were included in this study. RESULTS Among 35 866 patients, there were 14 387 Black (40.1%) and 21 479 White patients (59.9%). Blacks had a higher prevalence of hyperglycemia (42.3% vs 36.7%, P < .0001) and DM (34.5% vs 22.8%, P < .0001) and a higher admission rate and mean daily blood glucose (P < .001). Blacks also had higher rates of complications (22.2% vs 19.2%, P < .0001), both in patients with DM (24.7 vs 22.9%, P = .0413) and non-DM with hyperglycemia (41.2% vs 37.2%, P = .0019). Using sequential modelling adjusted for age, gender, body mass index, comorbidities, and insurance coverage, non-DM Blacks with normoglycemia (odds ratio, 1.22; 95% confidence interval, 1.10-1.35) and non-DM Blacks with hyperglycemia (odds ratio, 1.18; 95% confidence interval, 1.04-1.33) had higher number of complications compared to Whites. CONCLUSIONS Black patients have higher rates of hyperglycemia and diabetes, worse inpatient glycemic control, and greater frequency of hospital complications compared to Whites. Non-DM Blacks with hyperglycemia are a particularly vulnerable group. Further investigation is needed to better understand factors contributing the racial disparities in the hospital.
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Affiliation(s)
- Maya Fayfman
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Priyathama Vellanki
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Anastasia-Stefania Alexopoulos
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Lauren Buehler
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Liping Zhao
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Dawn Smiley
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Sonya Haw
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Jeff Weaver
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Francisco J Pasquel
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
| | - Guillermo E Umpierrez
- Division of Endocrinology (M.F., P.V., A.-S.A., L.B. D.S., S.H., F.J.P., G.E.U.), Department of Medicine, Department of Biostatistics and Bioinformatics (L.Z.), Rollins School of Public Health, Research & Woodruff Health Sciences IT (J.W.), Data Management Group, Emory University, Atlanta, Georgia 30322
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