OBJECTIVE: To improve glycemic control of hospitalized patients with diabetes and hyperglycemia, many medical centers have established dedicated glucose management teams (GMTs). However, the impact of these specialized teams on clinical outcomes has not been evaluated. METHODS: We conducted a retrospective study of 440 patients with type 2 diabetes admitted to the medical service for cardiac or infection-related diagnosis. The primary endpoint was a composite outcome of several well-recognized markers of morbidity, consisting of: death during hospitalization, transfer to intensive care unit, initiation of enteral or parenteral nutrition, line infection, new in-hospital infection or infection lasting more than 20 days of hospitalization, deep venous thrombosis or pulmonary embolism, rise in plasma creatinine, and hospital re-admissions. RESULTS: Medical housestaff managed the glycemia in 79% of patients (usual care group), while the GMT managed the glycemia in 21% of patients (GMT group). The primary outcome was similar between cohorts (0.95 events per patient versus 0.99 events per patient in the GMT and usual care cohorts, respectively). For subanalysis, the subjects in both groups were stratified into those with average glycemia of <180 mg/dL versus those with glycemia >180 mg/dL. We found a significant beneficial impact of glycemic management by the GMT on the composite outcome in patients with average glycemia >180 mg/dL during their hospital stay. The number of patients who met primary outcome was significantly higher in the usual care group (40 of 83 patients, 48%) than in the GMT-treated cohort (8 of 33 patients, 25.7%) (P<.02). CONCLUSION: Our data suggest that GMTs may have an important role in managing difficult-to-control hyperglycemia in the inpatient setting. ABBREVIATIONS: BG = blood glucose GMT = glucose management team HbA1c = hemoglobin A1c ICU = intensive care unit POC = point of care T2D = type 2 diabetes.
OBJECTIVE: To improve glycemic control of hospitalized patients with diabetes and hyperglycemia, many medical centers have established dedicated glucose management teams (GMTs). However, the impact of these specialized teams on clinical outcomes has not been evaluated. METHODS: We conducted a retrospective study of 440 patients with type 2 diabetes admitted to the medical service for cardiac or infection-related diagnosis. The primary endpoint was a composite outcome of several well-recognized markers of morbidity, consisting of: death during hospitalization, transfer to intensive care unit, initiation of enteral or parenteral nutrition, line infection, new in-hospital infection or infection lasting more than 20 days of hospitalization, deep venous thrombosis or pulmonary embolism, rise in plasma creatinine, and hospital re-admissions. RESULTS: Medical housestaff managed the glycemia in 79% of patients (usual care group), while the GMT managed the glycemia in 21% of patients (GMT group). The primary outcome was similar between cohorts (0.95 events per patient versus 0.99 events per patient in the GMT and usual care cohorts, respectively). For subanalysis, the subjects in both groups were stratified into those with average glycemia of <180 mg/dL versus those with glycemia >180 mg/dL. We found a significant beneficial impact of glycemic management by the GMT on the composite outcome in patients with average glycemia >180 mg/dL during their hospital stay. The number of patients who met primary outcome was significantly higher in the usual care group (40 of 83 patients, 48%) than in the GMT-treated cohort (8 of 33 patients, 25.7%) (P<.02). CONCLUSION: Our data suggest that GMTs may have an important role in managing difficult-to-control hyperglycemia in the inpatient setting. ABBREVIATIONS: BG = blood glucoseGMT = glucose management team HbA1c = hemoglobin A1c ICU = intensive care unit POC = point of care T2D = type 2 diabetes.
Authors: William B Horton; Sidney Law; Monika Darji; Mark R Conaway; Mikhail Y Akbashev; Nancy T Kubiak; Jennifer L Kirby; S Calvin Thigpen Journal: Endocr Pract Date: 2019-08-14 Impact factor: 3.443
Authors: Derek LeRoith; Geert Jan Biessels; Susan S Braithwaite; Felipe F Casanueva; Boris Draznin; Jeffrey B Halter; Irl B Hirsch; Marie E McDonnell; Mark E Molitch; M Hassan Murad; Alan J Sinclair Journal: J Clin Endocrinol Metab Date: 2019-05-01 Impact factor: 5.958
Authors: Robert J Rushakoff; Joshua A Rushakoff; Zachary Kornberg; Heidemarie Windham MacMaster; Arti D Shah Journal: Curr Diab Rep Date: 2017-09 Impact factor: 4.810
Authors: Felix Aberer; Katharina M Lichtenegger; Edin Smajic; Klaus Donsa; Oliver Malle; Judith Samonigg; Bernhard Höll; Peter Beck; Thomas R Pieber; Johannes Plank; Julia K Mader Journal: Diabetes Obes Metab Date: 2018-11-11 Impact factor: 6.577