Daily Inpatient Glycemic Survey (DINGS): A Process to Remotely Identify and Assist in the Management of Hospitalized Patients with Diabetes and Hyperglycemia

Objective: Hyperglycemia, hypoglycemia, and glycemic variability have been associated with increased morbidity, mortality, and overall costs of care in hospitalized patients. At the Stratton VA Medical Center in Albany, New York, a process aimed to improve inpatient glycemic control by remotely assisting primary care teams in the management of hyperglycemia and diabetes was designed.Methods: An electronic query comprised of hospitalized patients with glucose values <70 mg/dL or >350 mg/dL is generated daily. Electronic medical records (EMRs) are individually reviewed by diabetes specialist providers, and management recommendations are sent to primary care teams when applicable. Glucose data was retrospectively examined before and after the establishment of the daily inpatient glycemic survey (DINGS) process, and rates of hyperglycemia and hypoglycemia were compared.Results: Patient-day mean glucose slightly but significantly decreased from 177.6 ± 64.4 to 173.2 ± 59.4 mg/dL (P<.001). The percentage of patient-days with any value >350 mg/dL also decreased from 9.69 to 7.36% (P<.001), while the percentage of patient-days with mean glucose values in the range of 90 to 180 mg/dL increased from 58.1 to 61.4% (P<.001). Glycemic variability, assessed by the SD of glucose, significantly decreased from 53.9 to 49.8 mg/dL (P<.001). Moreover, rates of hypoglycemia (<70 mg/dL) decreased significantly by 41% (P<.001).Conclusion: Quality metrics of inpatient glycemic control improved significantly after the establishment of the DINGS process within our facility. Prospective controlled studies are needed to confirm a causal association.Abbreviations: DINGS = daily inpatient glycemic survey EMR = electronic medical record HbA1c = glycated hemoglobin ICU = intensive care unit VA = Veterans Affairs     

The Added and Interpretative Value of CGM-Derived Parameters in Type 1 Diabetes Depends on the Level of Glycemic Control

ObjectiveIn type 1 diabetes mellitus (T1DM) management, continuous glucose monitoring (CGM)-derived parameters can provide additional insights, with time in range (TIR) and other parameters reflecting glycemic control and variability being put forward. This study aimed to examine the added and interpretative value of the CGM-derived indices TIR and coefficient of variation (CV%) in T1DM patients stratified according to their level of glycemic control by means of HbA1C.MethodsT1DM patients with a minimum disease duration of 10 years and without known macrovascular disease were enrolled. Patients were equipped with a blinded CGM device for 7 days. TIR and time spent in hypoglycemia and hyperglycemia were determined, and CV% was used as a parameter for glycemic variability. Pearson (r) and Spearman correlations (r_s) and a regression analysis were used to examine associations.ResultsNinety-five patients (age: 45 ± 10 years; HbA1C level: 7.7% ± 0.8% [61 ± 7 mmol/mol]) were included (mean blood glucose [MBG]: 159 ± 31 mg/dL; TIR: 55.8% ± 14.9%; CV%: 43.5% ± 7.8%) and labeled as having good (HbA1C level ≤7% [≤53 mmol/mol]; n = 20), moderate (7%-8%; n = 44), or poor (>8% [>64 mmol/mol]; n = 31) glycemic control. HbA1C was significantly associated with MBG (r_s = 0.48, P < .001) and time spent in hyperglycemia (total: r_s = 0.52; level 2: r = 0.46; P < .001) but not with time spent in hypoglycemia and CV%, even after an analysis of the HbA1C subgroups. Similarly, TIR was negatively associated with HbA1C (r = −0.53; P < .001), MBG (r_s = −0.81; P < .001), and time spent in hyperglycemia (total: r_s = −0.90; level 2: r_s = −0.84; P < .001) but not with time in hypoglycemia. The subgroup analyses, however, showed that TIR was associated with shorter time spent in level-2 hypoglycemia in patients with good (r_s = −0.60; P = .007) and moderate (r_s = −0.25; P = .047) glycemic control. In contrast, CV% was strongly positively associated with time in hypoglycemia (total: r_s = 0.78; level 2: r_s = 0.76; P < .001) but not with TIR or time in hyperglycemia in the entire cohort, although the subgroup analyses showed that TIR was negatively associated with CV% in patients with good glycemic control (r = −0.81, P < .001) and positively associated in patients with poor glycemic control (r = +0.47; P < .01).ConclusionThe CGM-derived metrics TIR and CV% are related to clinically important situations, TIR being strongly dependent on hyperglycemia and CV% being reflective of hypoglycemic risk. However, the interpretation and applicability of TIR and CV% and their relationship depends on the level of glycemic control of the individual patient, with CV% generally adding less clinically relevant information in those with poor control. This illustrates the need for further research and evaluation of composite measures of glycemic control in T1DM.     

Characterizing Glucose Changes Antecedent to Hypoglycemic Events in the Intensive Care Unit

ObjectiveTo determine whether patterns of glucose changes before hypoglycemia vary according to the severity of the event.MethodsIn this retrospective analysis, point-ofcare blood glucose (POC-BG) data were obtained from the intensive care units (ICUs) of a convenience sample of hospitals that responded to a survey on inpatient diabetes management quality improvement initiatives. To evaluate POC-BG levels before hypoglycemic events, data from patients who experienced hypoglycemia during their time in the ICU were examined, and their glucose changes were assessed against a comparison group of patients who achieved a glycemic range of 80 to 110 mg/dL without ever experiencing hypoglycemia. Absolute glucose decrease, glucose rate of change, and glucose variability before hypoglycemic events (< 40, 40-49, 50-59, and 60-69 mg/ dL) were calculated.ResultsA total of 128 419 POC-BG measurements from 2942 patients in 89 ICUs were analyzed. Patients who experienced the most severe hypoglycemic episodes had the largest absolute drop in their glucose levels before the event (P < .001). The glucose rate of change before a hypoglycemic event increased with worsening hypoglycemia: mean (± standard deviation) glucose rate of change was-1.69 (± 2.98) mg/dL per min before an episode with glucose values less than 40 mg/dL, -0.56 (± 2.65) mg/dL per min before an episode with glucose values 60 to 69 mg/dL, but only -0.39 (± 0.70) for patients who attained a glucose range of 80 to 110 mg/dL without hypoglycemia (P < .001). Glucose variability before an event progressively increased with worsening biochemical hypoglycemia and was least among patients achieving glucose concentrations in the 80 to 110-mg/dL range without hypoglycemia (P < .001).ConclusionsAntecedent glucose change and variability were greater for patients who experienced hypoglycemia. If monitored, these patterns could potentially alert clinicians and help them take preventive measures. Further examination of how these parameters interact with other predisposing risk factors for hypoglycemia is warranted. (Endocr Pract. 2012;18:317-324)     

The Synergy to Enable Glycemic Control Following Emergency Department Discharge Program for Adults with Type 2 Diabetes: Step-Diabetes

Objective: To evaluate a diabetes (DM) care delivery model among hyperglycemic adults with type 2 DM being discharged from the emergency department (ED) to home. The primary hypothesis was that a focused education and medication management intervention would lead to a greater short-term improvement in glycemic control compared to controls.Methods: A 4-week, randomized controlled trial provided antihyperglycemic medications management using an evidence-based algorithm plus survival skills diabetes self-management education (DSME) for ED patients with blood glucose (BG) levels ≥200 mg/dL. The intervention was delivered by endocrinologist-supervised certified diabetes educators. Controls received usual ED care.Results: Among 101 participants (96% Black, 54% female, 62.3% Medicaid and/or Medicare insurance), 77% completed the week 4 visit. Glycated hemoglobin A1C (A1C) went from 11.8 ± 2.4 to 10.5 ± 1.9% (P<.001) and 11.5 ± 2.0 to 11.1 ± 2.1% in the intervention and control groups, respectively (P = .012). At 4 weeks, the difference in A1C reduction between groups was 0.9% (P = .01). Mean BG decreased for both groups (P<.001), with a higher percentage of intervention patients (65%) reaching a BG <180 mg/dL compared to 29% of controls (P = .002). Hypoglycemia rates did not differ by group, and no severe hypoglycemia was reported. Medication adherence (Modified Morisky Score©) improved from low to medium (P<.001) among intervention patients and did not improve among controls.Conclusions: This study provides evidence that a focused diabetes care delivery intervention can be initiated in the ED among adults with type 2 diabetes and hyperglycemia and safely and effectively completed in the ambulatory setting. Improvement in short-term glycemic outcomes and medication adherence were observed.Abbreviations: A1C = glycated hemoglobin A1C BG = blood glucose BMI = body mass index CDE = certified diabetes educator CI = confidence interval DM = diabetes mellitus DSME = diabetes self-management education ED = emergency departmentMMAS-8 = Modified Morisky Medication Scale PCP = primary care provider POC = point of care SQ = subcutaneous     

Diabetes Duration and the Efficacy and Safety of Insulin Glargine Versus Comparator Treatment in Patients with Type 2 Diabetes Mellitus

ObjectiveTo evaluate the effect of diabetes duration on efficacy and safety in patients with type 2 diabetes mellitus (T2DM) using insulin glargine versus comparator (oral antidiabetic drugs [OADs], dietary changes, or other insulins).MethodsData were pooled from randomized controlled clinical trials conducted in adults with T2DM with at least 24-week treatment with insulin glargine or a comparator, where predefined insulin titration algorithms were utilized to achieve fasting plasma glucose (FPG) concentrations of ≤ 100 mg/dL. Glycated hemoglobin A1C (A1C), FPG, and insulin dose and safety (hypoglycemia) outcomes were analyzed.ResultsNine studies were included in the analysis of 2,930 patients. Patients with shorter duration of diabetes were more likely to have greater reductions in A1C compared with those who had longer-duration disease (P < .0001). Disease duration did not affect change in FPG concentrations (P = .9017), but lower weight-adjusted insulin dose was correlated with longer-duration disease (P < .0001). Patients with longer-duration diabetes had increased risks of symptomatic hypoglycemia, confirmed hypoglycemia (self-monitored blood glucose < 50 mg/dL and < 70 mg/dL), and nocturnal hypoglycemia (all P < .001). No significant relationship was found between severe hypoglycemia and duration of diabetes. However, treatment with insulin glargine lowered A1C values more effectively than comparator treatments with fewer hypoglycemic episodes.ConclusionPatients with shorter-duration T2DM better achieved target A1C levels and had less hypoglycemia than those with longer disease duration. Insulin glargine was associated with reduced A1C and fewer hypoglycemic events than comparators, regardless of disease duration. (Endocr Pract. 2014;20:120-128)     

The Efficacy and Safety of Co-Administration of Sitagliptin With Metformin in Patients With Type 2 Diabetes at Hospital Discharge

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     

Inpatient Hypoglycemic Events in a Comparative Effectiveness Trial for Glycemic Control in a High-Risk Population

Objective: Inpatient hypoglycemia (glucose ≤70 mg/dL) is a limitation of intensive control with insulin. Causes of hypoglycemia were evaluated in a randomized controlled trial examining intensive glycemic control (IG, target 140 mg/dL) versus moderate glycemic control (MG, target 180 mg/dL) on post–liver transplant outcomes.Methods: Hypoglycemic episodes were reviewed by a multidisciplinary team to calculate and identify contributing pathophysiologic and operational factors. A subsequent subgroup case control (1:1) analysis (with/without) hypoglycemia was completed to further delineate factors. A total of 164 participants were enrolled, and 155 patients were examined in depth.Results: Overall, insulin-related hypoglycemia was experienced in 24 of 82 patients in IG (episodes: 20 drip, 36 subcutaneous [SQ]) and 4 of 82 in MG (episodes: 2 drip, 2 SQ). Most episodes occurred at night (41 of 60), with high insulin amounts (44 of 60), and during a protocol deviation (51 of 60). Compared to those without hypoglycemia (n = 127 vs. n = 28), hypoglycemic patients had significantly longer hospital stays (13.6 ± 12.6 days vs. 7.4 ± 6.1 days; P = .002), higher peak insulin drip rates (17.4 ± 10.3 U/h vs. 13.1 ± 9.9 U/h; P = .044), and higher peak insulin glargine doses (36.8 ± 21.4 U vs. 26.2 ± 24.3 U; P = .035). In the case-matched analysis (24 cases, 24 controls), those with insulin-related hypoglycemia had higher median peak insulin drip rates (17 U/h vs. 11 U/h; P = .04) and protocol deviations (92% vs. 50%; P = .004).Conclusion: Peak insulin requirements and protocol deviations were correlated with hypoglycemia.Abbreviations:DM = diabetes mellitusICU = intensive care unitIG = intensive glycemic controlMELD = Model for End-stage Liver DiseaseMG = moderate glycemic controlSQ = subcutaneous     

Safety and Efficacy of Glucostabilizer in the Management of Diabetic Ketoacidosis

Objective: To evaluate the safety and efficacy of GlucoStabilizer software intravenous insulin (IV) dosing in comparison to American Diabetes Association protocol-directed provider-guided insulin dose adjustment (PGIA).Methods: GlucoStabilizer calculates the dose of IV insulin required to reach a prescribed target glucose range. GlucoStabilizer has not been fully studied in DKA. This retrospective study compared outcomes in patients with DKA before and after the implementation of GlucoStabilizer. Insulin doses were administered based on GlucoStabilizer calculations or PGIA. The analysis evaluated before-after changes in the amount of insulin used, time to target, hypoglycemia or hypokalemia events, and the time to DKA resolution.Results: We studied 77 patients with insulin doses calculated by GlucoStabilizer and 69 patients with PGIA dosing. GlucoStabilizer was superior to PGIA. Patients treated with GlucoStabilizer-calculated doses did not experience hypoglycemia (N = 0 versus N = 10; P<.001). The 10 unique PGIA patients had a total of 18 episodes with 17 between 55 to 69 mg/dL; 1 <54 mg/dL, and no episodes <40 mg/dL. The GlucoStabilizer group required less insulin to reach DKA resolution (59.2 versus 101.2 units; P<.001). Time to glycemic target and DKA resolution were similar (6.7 versus 4.6 hours; P = .132) and (9.8 versus 9.9 hours; P = .803), respectively. No difference in the incidence of hypokalemia was seen (N = 9 versus N = 11; P = .48).Conclusion: This study demonstrates the Gluco Stabilizer settings that can be successfully used in the management of DKA with the avoidance of hypoglycemia. Patients treated with GlucoStabilizer-calculated doses experienced no hypoglycemia and required less insulin as compared to those managed with PGIA.Abbreviations: ADA = American Diabetes Association; DKA = diabetic ketoacidosis; ED = emergency department; eGMS = electronic glycemic management systems; ICU = intensive care unit; IV = intravenous; PGIA = protocol-directed provider-guided insulin dose adjustment     

Identifying Risk Factors for Severe Hypoglycemia in Hospitalized Patients with Diabetes

ObjectiveSome of the deleterious effects of hypoglycemia in hospitalized patients include increased rates of mortality and longer length of stay. Our primary objective was to identify the risk factors associated with severe hypoglycemia to identify those patients at highest risk.MethodsThe medical records of 5,026 patients with diabetes mellitus (DM) admitted in 2010 were reviewed to identify those patients that developed severe hypoglycemia (blood glucose [BG] < 40 mg/dL). We performed c2 tests to assess statistical significance. Adjusted logical regression was used to determine the risk factors for hypoglycemia in the hospital.ResultsOut of 5,026 DM patients included in our review, 81 experienced severe hypoglycemia (1.6%). Statistically higher proportions of chronic kidney disease (CKD; 69.1% vs. 46.9%, P < .001), congestive heart failure (CHF; 48.1% vs. 28.5%, P < .001), sepsis (49.4% vs. 12.5%, P < .001), insulin use (45.7% vs. 26.04%, P = .000), type 1 DM (21% vs. 5.1%, P = .000), and cirrhosis (14.8% vs. 7.2%, P = .009) were seen in the severe hypoglycemic group compared to the nonsevere hypoglycemic group. Overall, 84% of patients who experienced an episode of severe hypoglycemia in the hospital (BG < 40 mg/dL) had a previous episode of hypoglycemia (BG < 70 mg/dL). The odds ratios (ORs) for type 1 DM, sepsis, previous hypoglycemia, and insulin use were 3.43 (95% confidence interval [CI] 1.81, 6.49), 2.64 (95% CI 1.6, 4.35), 46.1 (95% CI 24.76, 85.74), and 1.66 (95% CI 1.02, 2.69), respectively.ConclusionPrior episodes of hypoglycemia in the hospital, the presence of type 1 DM, insulin use, and sepsis were identified as independent risk factors for the development of severe hypoglycemia in the hospital. (Endocr Pract. 2014;20:1051-1056)     

U500 Regular Insulin use in Insulin-Resistant type 2 Diabetic Veteran Patients

ObjectiveTo evaluate the use of U500 regular insulin therapy in insulin-resistant patients with type 2 diabetes mellitus who were previously treated with high-dosage U100 insulin regimens.Methods:At a large Veterans Affairs medical center, a retrospective chart review was performed of all patients whose U100 insulin regimens were converted to U500 regular insulin regimens using a protocol to ensure patient safety. Patients were followed up for longer than 6 months. Data reviewed included total daily dosage of insulin before and after regimen conversion and changes in hemoglobin A1c, body weight, lipids, and episodes of severe hypoglycemia.ResultsFifty-three patients met inclusion criteria. Average hemoglobin A1c level on U100 insulin regimens was 9.1 ± 1.7%, which decreased to 8.1 ± 1.3% (P < .001) after an average of 20 months (range, 6-52 months) on U500 insulin. The total daily insulin dosage at study end was not significantly greater on U500 (415 ± 166 units/day) than on U100 insulin (391 ± 120 units/day) (P = .34). Body weight did not change significantly (134 ± 29 kg vs 136 ± 30 kg, P = .18). There was a 20-mg/dL decrease in total cholesterol (P = .014). Triglyceride values decreased by 97 mg/dL (P = .005). Eight episodes of severe hypoglycemia were documented in patients treated with U500 insulin, but this was similar to the incidence in these same patients while treated with U100 insulin.ConclusionWe conclude that U500 insulin can be safely and effectively used in insulin-resistant patients with type 2 diabetes followed up at a large Veterans Affairs medical center using a protocol that ensures patients are thoroughly educated and carefully monitored. (Endocr Pract. 2012;18:34-38)     

Increased Bone Turnover in Type 2 Diabetes Patients Randomized to Bariatric Surgery Versus Medical Therapy at 5 Years

Objective: The aim of our study was to determine the 5-year outcomes of bariatric surgery versus intensive medical therapy on bone turnover in patients with type 2 diabetes mellitus (T2DM) from the STAMPEDE trial.Methods: This was an ancillary investigation of a 5-year randomized control trial at a single tertiary care center involving 95 patients aged 48.5 ± 8 years with obesity (body mass index &lsqb;BMI], 36.5 ± 3.6 kg/m²) and uncontrolled T2DM (glycated hemoglobin 9.3 ± 1.6% &lsqb;78 mmol/mol]). Patients were randomized to intensive medical therapy (IMT; n = 25), Roux-en-Y gastric bypass (RYGB; n = 37), or sleeve gastrectomy (SG; n = 33) for diabetes treatment. Bone formation marker osteocalcin (OC), bone resorption marker serum C-telopeptide of type 1 collagen (CTX), and intact parathyroid hormone (PTH) were assessed at baseline and 5 years postintervention. Analysis with key clinical parameters and outcomes (i.e., age, menopausal status, gender, weight loss) was performed.Results: Percent change in CTX at 5 years increased in both surgical groups, by 137 ± 108% in RYGB (P<.001) and 61.1 ± 90% in SG (P<.001) compared to 29.8 ± 93% in IMT (P = .12). OC also increased from baseline in the surgical cohorts, by 138 ± 19% in RYGB (P<.001) and 71 ± 69% in SG (P<.001) compared to 43.8 ± 121.1% in IMT (P = .83). Increases in both CTX and OC correlated linearly with increases in PTH levels in RYGB patients (P<.001). Increase in CTX correlated with decreased BMI in SG patients (P = .039).Conclusion: In patients with T2DM, bone turnover remains chronically elevated at 5 years following RYGB, and to a lesser extent in SG patients.Abbreviations: BMI = body mass index; BTM = bone turnover marker; CTX = C-telopeptide of type 1 collagen; HbA1c = glycated hemoglobin; IMT = intensive medical therapy; OC = osteocalcin; PPI = proton-pump inhibitor; PTH = parathyroid hormone; RYGB = Roux-en-Y gastric bypass; SG = sleeve gastrectomy; T2DM = type 2 diabetes mellitus; TZD = thiazolidinedione     

Gender differences in self-rated health,quality of life,quality of care,and metabolic control in patients with diabetes

Background: Because the projected increase in the number of diabetic patients is expected to strain the capabilities of health care providers worldwide, we are challenged to find ways of reducing the burden of diabetes. Maintaining and improving health-related quality of life (QoL) for diabetic patients may be viewed as public health goals.Objective: The aim of this cross-sectional study was to compare different aspects of health, QoL, and quality of care (QoC) between men and women with diabetes as a basis for planning and managing diabees care.Methods: All patients in 2 age groups (aged 20–30 years [younger age group] and aged 50–60 years [middle-aged group]) who were registered with the Department of Endocrinology, Metabolism, and Diabetes at Karolinska University Hospital, Stockholm, Sweden, in October 2004, were recruited for a survey. Questions were included about self-rated health (SRH), QoL, QoC, diabetes-related worries, occupational status, physical activity level, living arrangements, and educational background. Glycosylated hemoglobin (HbA_1c) values were obtained from medical records.Results: Of the 223 eligible patients (109 men, 114 women) in the younger age group, 49 men and 74 women responded to the questionnaire; of the 300 eligible patients (170 men, 130 women) in the middle-aged group, 120 men and 93 women responded. Middle-aged women rated their mental well-being and QoL as worse compared with men (P < 0.001 and P < 0.05, respectively). In both age groups, women reported more diabetes-related worries and less ability to cope (P < 0.05 for the younger age group and P < 0.001 for the middle-aged group for both variables), thus the differences were more marked for middleaged women. Although there were no gender differences in metabolic control, middle-aged women reported less satisfaction with diabetes care (P < 0.001). Higher HbA_1c was related to worse SRH in both men and women when analyzing the age groups together (P < 0.05). This association was most prominent in young women, in whom having more diabetes-related worries was also related to higher HbA_1c (P < 0.01).Conclusion: In this study, women with diabetes appeared to have worse QoL and mental well-being compared with men with diabetes. Therefore, identifying strategies to improve SRH and QoL among diabetic patients, especially among women, is of great importance.     

Hypoglycemia Rates After Restriction of High-Dose Glargine in Hospitalized Patients

Objective: Hypoglycemia remains one of the main challenges of insulin therapy. To reduce insulin-related hypoglycemia at our institution, we restricted inpatient ordering of high glargine doses (≥0.5 U/kg/day) to endocrine staff in May 2013. This retrospective cohort study assesses its effect on hypoglycemia and glycemic control within 48 hours of admission (ADM).Methods: We identified 692 adult patients hospitalized at Boston Medical Center who received glargine upon ADM from November 1, 2012 through April 30, 2013 as the pre-intervention group, and 651 adult patients admitted between November 1, 2013 and April 30, 2014 as the postintervention group. Demographics, medical history, home insulin regimen, concurrent oral diabetes medications or glucocorticoid administration, ADM serum creatinine, all blood glucose levels (BG) ≤48 hours of ADM, and hemoglobin A1c values ≤3 months were assessed. Hypoglycemia was defined as BG ≤70 mg/dL, and hyperglycemia as BG ≥200 mg/dL. Multivariable regression models assessed potential associations between covariates and incidence of hypoglycemia and average BG ≤48 hours of ADM.Results: Demographics were similar between groups. Significantly less patients received high-dose glargine in the post-intervention group (5.2% vs. 0.3%, P<.001). Incidences of hypoglycemia were significantly lower in the postintervention group (20.9% vs. 17.8%, P<.001 per ADM; 3.4% vs. 2.3%, P = .001 per BG measurements [BGM]). Mean BG levels ≤48 hours of ADM and incidence of hyperglycemia were not significantly different. The adjusted incident rate ratio of hypoglycemia was 0.63 per ADM and 0.74 per BGM in the postintervention group compared to the pre-intervention group (P = .001 and P = .063, respectively).Conclusion: We found that implementation of a restriction on high doses of glargine resulted in lower rates of hypoglycemia without worsening glycemic control.Abbreviations:ADM = admissionBG = blood glucoseBGM = blood glucose measurementsBMC = Boston Medical CenterBMI = body mass indexEMR = electronic medical recordHgbA1c = hemoglobin A1cIRR = incidence rate ratioNPH = neutral protamine HagedornTDD = total daily doseT2D = type 2 diabetes     

Implementation of an Electronic Dashboard with A Remote Management System to Improve Glycemic Management Among Hospitalized Adults

Objective: Better glycemic control for hospitalized diabetic patients significantly reduces health expenditures and improves disease outcomes. We developed a dynamic dashboard with a remote management system and evaluated its impact on inpatient glycemic control.Methods: This was an observational institution-wide study; study participants were enrolled from a 1,500-bed public medical center from 2016 to 2018. We evaluated the impact of a dynamic dashboard system, which analyzed and monitored all glucose data with virtual glycemic management recommendation by a team of endocrinologists, over 3 × 1-year periods: 2016 (pre-implementation), 2017 (development), and 2018 (implementation).Results: A total of 51,641 discharges with 878,159 blood glucose measurements were obtained during the 3-year period. After implementation of the dashboard system, the proportion of patients with poor glycemic control (hyperglycemia or hypoglycemia) was reduced by 31% (from 10.2 to 7.0 per day per 100 patients with glucose monitoring; P<.001); hyperglycemia decreased by 25% (from 6.1 to 4.6 per day per 100 patients with glucose monitoring; P<.001), and hypoglycemia decreased by 45% (from 4.2 to 2.3 per day per 100 patients with glucose monitoring; P<.001). Furthermore, the trend in the proportion of patients within the treat-to-target range showed significant improvement (P<.001) during the development period, with effectiveness maintained throughout the implementation period.Conclusion: We successfully installed a dynamic, electronic medical records-based dashboard monitoring system to improve inpatient glycemic control. The system, supported by a team of endocrinologists via remote recommendations, could efficiently fill an important need for improved glycemic management among hospitalized adults.Abbreviations: CDE = certified diabetes educator; DM = diabetes mellitus; EMR = electronic medical record; POC = point-of-care; TCVGH = Taichung Veterans General Hospital; UCSF = University of California, San Francisco; U.S. = United States; vGMS = virtual glucose management service     

Quality of Life in Patients with Low-Risk Papillary Thyroid Microcarcinoma: Active Surveillance Versus Immediate Surgery

Objective: This study aimed to compare the quality of life (QoL) and psychological issues of patients with papillary thyroid microcarcinoma (PMC) who were under active surveillance (AS) and those who underwent immediate surgery (OP).Methods: This was a cross-sectional study conducted on 347 patients with low-risk PMC who were under AS (n = 298) or who underwent OP (n = 49). They were asked to complete two questionnaires (thyroid cancer–specific health-related QoL [THYCA-QoL] and the Hospital Anxiety and Depression Scale [HADS]). The results between the AS and OP groups were compared.Results: The mean ages of patients in the AS and OP groups were 58.6 ± 12.5 and 58.4 ± 13.1 years (P =.94), respectively, and the male ratios were 34/298 (11%) and 2/49 (4.1%) (P =.14), respectively. The median follow-up periods from diagnosis in the AS and OP groups were 56.5 months (interquartile range [IQR], 32 to 88 months) and 84 months (IQR, 64 to 130 months) (P<.001), respectively. In the THYCA-QoL questionnaire, the OP group had more complaints about “voice” (P<.001), “psychological” (P =.025), “problems with scar” (P<.001), and “gained weight” (P =.047) than the AS group. Other scales of the THYCA-QoL were comparable in the two groups. In the HADS questionnaire, the AS group had significantly better anxiety (P =.020), depression (P =.027), and total scores (P =.014) than the OP group.Conclusion: PMC patients in the OP group had more complaints and were more anxious and depressed than the AS group. These findings suggest that AS is a reasonable alternative to surgery for patients with low-risk PMC from the point of view of QoL and psychology.Abbreviations: AS = active surveillance; CI = confidence interval; HADS = Hospital Anxiety and Depression Scale; LT4 = levothyroxine; OP = immediate surgery; PMC = papillary microcarcinoma; PTC = papillary thyroid carcinoma; QoL = quality of life; STAI = State-Trait Anxiety Inventory; THYCA-QoL = thyroid cancer–specific health-related quality of life; TSH = thyrotropin     

Basal-Bolus Regimen With Insulin Analogues Versus Human Insulin in Medical Patients with type 2 Diabetes: A Randomized Controlled Trial in Latin America

Objective: Few randomized studies have focused on the optimal management of non–intensive care unit patients with type 2 diabetes in Latin America. We compared the safety and efficacy of a basal-bolus regimen with analogues and human insulins in general medicine patients admitted to a University Hospital in Asunción, Paraguay.Methods: In a prospective, open-label trial, we randomized 134 nonsurgical patients with blood glucose (BG) between 140 and 400 mg/dL to a basal-bolus regimen with glargine once daily and glulisine before meals (n = 66) or Neutral Protamine Hagedorn (NPH) twice daily and regular insulin before meals (n = 68). Major outcomes included differences in daily BG levels and frequency of hypoglycemic events between treatment groups.Results: There were no differences in the mean daily BG (157 ± 37 mg/dL versus 158 ± 44 mg/dL; P = .90) or in the number of BG readings within target <140 mg/dL before meals (76% versus 74%) between the glargine/glulisine and NPH/regular regimens. The mean insulin dose in the glargine/glulisine group was 0.76 ± 0.3 units/kg/day (glargine, 22 ± 9 units/day; glulisine, 31 ± 12 units/day) and was not different compared with NPH/regular group (0.75 ± 0.3 units/kg/day [NPH, 28 ± 12 units/day; regular, 23 ± 9 units/day]). The overall prevalence of hypoglycemia (<70 mg/dL) was similar between patients treated with NPH/regular and glargine/glulisine (38% versus 35%; P = .68), but more patients treated with human insulin had severe (<40 mg/dL) hypoglycemia (7.6% versus 25%; P = .08). There were no differences in length of hospital stay or mortality between groups.Conclusion: The basal-bolus regimen with insulin analogues resulted in equivalent glycemic control and frequency of hypoglycemia compared to treatment with human insulin in hospitalized patients with diabetes.Abbreviations: BG = blood glucose BMI = body mass index HbA_1c = glycated hemoglobin NPH = Neutral Protamine Hagedorn T2D = type 2 diabetes     

Open Access to Diabetes Center from the Emergency Department Reduces Hospitalizations in the Susequent Year

Objective: Patients who present to the emergency department (ED) for diabetes without hyperglycemic crisis are at risk of unnecessary hospitalizations and poor outcomes. To address this, the ED Diabetes Rapid-referral Program (EDRP) was designed to provide ED staff with direct booking into the diabetes center. The objective of this study was to determine the effects of the EDRP on hospitalization rate, ED utilization rate, glycemic control, and expenditures.Methods: We conducted a single-center analysis of the EDRP cohort (n = 420) and compared 1-year outcomes to historic controls (n = 791). We also compared EDRP patients who arrived (ARR) to those who did not show (NS). The primary outcome was hospitalization rate over 1 year. Secondary outcomes included ED recidivism rate, hemoglobin A1c (HbA1c), and healthcare expenditures.Results: Compared with controls, the EDRP cohort was less likely to be hospitalized (27.1% vs. 41.5%, P<.001) or return to the ED (52.2% vs. 62.3%, P = .001) at the end of 1 year. Total hospitalizations were also lower in the EDRP (157 ± 19 vs. 267 ± 18 per 1,000 persons per year, P<.001). The EDRP cohort had a greater reduction in HbA1c (-2.66 vs. -2.01%, P<.001), which was more pronounced when ARR patients were compared with NS (-2.71% vs. -1.37%, P<.05). The mean per patient institutional healthcare expenditures were lower by $5,461 compared with controls.Conclusion: Eliminating barriers to scheduling diabetes-focused ambulatory care for ED patients was associated with significant reductions in hospitalization rate, ED recidivism rate, HbA1c, and healthcare expenditures in the subsequent year.Abbreviations:ARR = arrivedED = emergency departmentEDRP = emergency department diabetes rapid-referral ProgramHbA1c = hemoglobin A1cNS = no show     

Predictors of Nonattendance at an Endocrinology Outpatient Clinic

Objective: To identify predictors potentially contributing to patients' nonattendance or to same-day cancellation of scheduled appointments at an adult endocrinology office practice.Methods: A retrospective, records-based, cross-sectional study was conducted using data from 9,305 electronic medical records of patients presenting at a U.S. metropolitan adult endocrinology clinic in 2013. Statistical analyses included multivariate regression, calculated odds ratios, and posttest probabilities.Results: Of 29,178 total patient visits analyzed, 68% were attended by patients. Of total scheduled appointments, 7% resulted in nonattendance and 5% in same-day cancellation. The most significant predictors of nonatten-dance were a previous history of nonattendance (P<.001), uncontrolled diabetes (P<.001), and new patients to the practice (P<.001). Long lead-time to appointment (P = .001), younger age (P<.001), and certain insurance carriers (P<.001) also were significant predictors.Conclusion: Specific predictors of nonattendance at scheduled appointments were identified using statistical analysis of electronic medical record data. Previous history of nonattendance and having uncontrolled diabetes (especially in patients newly referred to the practice) are among these significant predictors. Identifying specific predictors for nonattendance enables targeted strategies to be developed.Abbreviations:APRN = Advanced Practice Registered NurseCI = confidence intervalDM = diabetes mellitusEMR = electronic medical recordHbA1c = glycated hemoglobinNS = no-showOR = odds ratioSDC = same-day cancellation     

Effect of Total Daily Dose on Efficacy,Dosing, and Safety of 2 Dose Titration Regimens of Human Regular U-500 Insulin in Severely Insulin-Resistant Patients with Type 2 Diabetes

Objective: To examine the influence of baseline U-100 insulin total daily dose (TDD) on clinical outcomes in severely insulin-resistant patients with inadequately controlled type 2 diabetes treated with human regular U-500 insulin (U-500R) from the perspective of current dosing recommendations.Methods: Data from a recent prospective, randomized trial comparing thrice-daily (TID) and twice-daily (BID) U-500R in 325 patients transitioned from highdose/high-volume U-100 insulin were analyzed across baseline U-100 TDD units and units/kg subgroups (≤300 units [n = 224, 68.9%] and >300 units [n = 101, 31.1%]; ≤2 units/kg [n = 96, 29.5%] and >2 units/kg [n = 229, 70.5%]). Subgroup effects on treatment differences were evaluated, and outcomes between treatment-pooled subgroups were compared.Results: At 24 weeks, significant reductions in glycated hemoglobin (HbA1c) were observed for all subgroups (range: -1.01% to -1.38%, P<.05). Within-subgroup treatment effects were similar with no treatment-by-subgroup interactions; however, a greater reduction was noted in the >300-units subgroup (P = .04). No TID/BID differences within subgroups or treatment-by-subgroup interactions were observed for TDD or weight increase from baseline. Overall hypoglycemia rates were similar between treatments (within subgroups) and showed no interactions. However, rates were higher in the >300-units subgroup for severe hypoglycemia (P = .04) and in both higher-dose subgroups for documented symptomatic hypoglycemia ≤70 mg/dL (P<.001, units; P = .001, units/kg).Conclusion: Both TID and BID U-500R were efficacious and safe across TDD subgroups, though higher hypoglycemia rates were observed in higher-dose, treatment-pooled subgroups. U-500R dosing recommendations have been updated accordingly.Abbreviations:AE = adverse eventBID = twice dailyHbA1c = glycated hemoglobinQID = 4 times dailyRCT = randomized clinical trialT2D = type 2 diabetesTDD = total daily doseTID = thrice dailyU-500R = human regular U-500 insulin