Effect of Hospital Admission on Glycemic Control 1 Year After Discharge

ObjectiveTo assess the effect of hospital admission on glycemic control in patients with diabetes up to 1 year after discharge.MethodsWe retrospectively studied 826 adults with diabetes admitted to a tertiary care medical center and with available hemoglobin A_1c (A1C) values for 6 months before admission and 1 year after discharge. We compared them with 826 nonhospitalized adults with diabetes matched for age, sex, race, comorbidity, and baseline A1C level. We determined the change in A1C value relative to hospitalization and baseline A1C level by using multivariate random effects models for repeated measures. Logistic regression analysis was performed to determine predictors of achieving recommended A1C levels at 1 year.ResultsPatients with baseline A1C levels ≥ 9% had an adjusted rate of change in A1C value of − 0.10% per month (95% confidence interval [CI], − 0.18 to − 0.022; P = .012) during the course of 1 year, without significant differences between hospitalized and nonhospitalized patients in the mean rate of change. Hospitalized patients, however, were less likely to achieve an A1C goal of ≤ 7% at 1 year (odds ratio, 0.68; 95% CI, 0.55 to 0.86; P < .001) or an A1C of < 8% at 1 year (odds ratio, 0.62; 95% CI, 0.48 to 0.81; P < .001) in comparison with the nonhospitalized patients.ConclusionDespite an overall trend toward improved glycemia over time, hospitalized patients with uncontrolled diabetes were less likely to achieve glycemic targets at 1 year in comparison with matched nonhospitalized patients. These results suggest a missed opportunity to improve long-term glycemic control in hospitalized patients with diabetes. (Endocr Pract. 2012;18:456-463)     

Frequent Monitoring of Blood Glucose Levels via a Remote Patient Monitoring System Helps Improve Glycemic Control

ObjectiveThis study aimed to evaluate the effectiveness of the Vivovitals diabetes platform in improving glycemic control and reducing hemoglobin A1c (HbA1c) levels in patients with uncontrolled type 2 diabetes mellitus by providing more accessible and direct patient care under the monitoring and oversight of their physician.MethodsThis 12-week, prospective, pragmatic, single-center, double-arm study assessed the impact of the Vivovitals diabetes platform on glycemic control in 78 adults aged ≥18 years with HbA1c levels of ≥7.5% (58 mmol/mol) at baseline. The participants were randomized into 2 groups. The control group received usual clinical care, whereas the intervention group was provided with a smartphone-linked telehealth application, a preconfigured glucometer, and access to a glycemic reading diary. The blood glucose levels of the intervention group were transmitted to the providers daily. Patients whose blood glucose level was <70 mg/dL or >180mg/dL were contacted, and modifications were made to their diet and medication. The 2 groups were compared at the baseline and at 12 weeks using nonparametric tests, with P <.05 considered statistically significant.ResultsOver 12 weeks, the average HbA1c level in the control group reduced by 0.474% (P = .533; 95% CI, −0.425 to −0.523), whereas the average HbA1c level in the intervention group reduced by 1.70% (P = .002; 95% CI, −1.02 to −2.39). The estimated treatment difference was expressed using Cohen d, which yielded 0.62. After 12 weeks, the HbA1c values between the control and intervention groups were statistically significant (P = .001).ConclusionThe use of the Vivovitals platform may help to improve glycemic control among individuals with type 2 diabetes mellitus.     

Inpatient Management of Diabets Mellitus Among Noncritically Ill Patients at the University Hospital of Puerto Rico

ObjectiveTo describe the state of glycemic control in noncritically ill diabetic patients admitted to the Puerto Rico University Hospital and adherence to current standard of care guidelines for the treatment of diabetes.MethodsThis was a retrospective study of patients admitted to a general medicine ward with diabetes mellitus as a secondary diagnosis. Clinical data for the first 5 days and the last 24 hours of hospitalization were analyzed.ResultsA total of 147 noncritically ill diabetic patients were evaluated. The rates of hyperglycemia (blood glucose ≥ 180 mg/dL) and hypoglycemia (blood glucose < 70 mg/dL) were 56.7 and 2.8%, respectively. Nearly 60% of patients were hyperglycemic during the first 24 hours of hospitalization (mean random blood glucose, 226.5 mg/dL), and 54.2% were hyperglycemic during the last 24 hours of hospitalization (mean random blood glucose, 196.51 mg/dL). The mean random last glucose value before discharge was 189.6 mg/dL. Most patients were treated with subcutaneous insulin, with basal insulin alone (60%) used as the most common regimen. The proportion of patients classified as uncontrolled receiving basal-bolus therapy increased from 54.3% on day 1 to 60% on day 5, with 40% continuing to receive only basal insulin. Most of the uncontrolled patients had their insulin dose increased (70.1%); however, a substantial proportion had no change (23.7%) or even a decrease (6.2%) in their insulin dose.ConclusionThe management of hospitalized diabetic patients is suboptimal, probably due to clinical inertia, manifested by absence of appropriate modification of insulin regimen and intensification of dose in uncontrolled diabetic patients. A comprehensive educational diabetes management program, along with standardized insulin orders, should be implemented to improve the care of these patients. (Endocr Pract. 2014;20:452-460)     

Improved Glycemic Control with Insulin Glargine Versus Pioglitazone as Add-On Therapy to Sulfonylurea or Metformin in Patients with Uncontrolled Type 2 Diabetes Mellitus

ObjectiveTo compare glycemic control with add-on insulin glargine versus pioglitazone treatment in patients with type 2 diabetes.MethodsThis 48-week, multicenter, parallel-group, open-label study randomized 389 adults with poorly controlled type 2 diabetes (glycated hemoglobin A1c [A1C], 8.0% to 12.0%), despite ≥ 3 months of sulfonylurea or metformin monotherapy, to receive add-on therapy with insulin glargine or pioglitazone. Outcomes included A1C change from baseline to end point (primary), percentage of patients achieving A1C levels ≤ 7.0%, and changes from baseline in fasting plasma glucose, body mass index, weight, and serum lipids. The safety analysis included incidence of adverse events and rates of hypoglycemia.ResultsAt end point, insulin glargine yielded a significantly greater reduction in A1C in comparison with pioglitazone (-2.48% versus -1.86%, respectively; 95% confidence interval, -0.93 to -0.31; P = .0001, 48-week modified intent-to-treat population). Insulin glargine also yielded significantly greater reductions in fasting plasma glucose at all time points (end point difference, -34.9 mg/ dL; 95% confidence interval, -47.6 to -22.2; P < .0001). In comparison with pioglitazone, insulin glargine resulted in a lower overall incidence of possibly related treatmentemergent adverse events (12.0% versus 20.7%) and fewer study discontinuations (2.2% versus 9.1%), but a higher rate (per patient-year) of confirmed clinically relevant hypoglycemic episodes (blood glucose < 70 mg/dL and all severe hypoglycemia) (4.97 versus 1.04; P <.0001) and severe hypoglycemia (0.07 versus 0.01; P = .0309). Weight and body mass index changes were similar between the 2 treatment groups.ConclusionThe addition of insulin glargine early in the diabetes treatment paradigm in patients for whom sulfonylurea or metformin monotherapy had failed resulted in significantly greater improvements in glycemic control in comparison with the addition of pioglitazone. Although severe hypoglycemia was more frequent in patients with insulin glargine therapy, hypoglycemic events occurred in < 5% of patients in the insulin glargine treatment group. (Endocr Pract. 2010;16:588-599)     

Does Availability of Reliable Home Blood Glucose Data at Diabetes Appointments Improve Glycemia?

ObjectiveTo establish the prevalence of reliable self-monitored blood glucose (r-SMBG) data at office visits for diabetes and to determine whether r-SMBG is associated with changes in glycemic control and other clinical parameters.MethodsWe conducted a chart review of 500 patients followed in an Endocrinology Faculty/Commercial Insurance Practice (FP) or a Managed Medicare/Medicaid Diabetes Clinic (MDC). Follow-up visits for patients with type 1 or type 2 diabetes from January 1, 2012 to June 30, 2012 were analyzed for anthropometric data, creatinine (Cr), glomerular filtration rate (GFR), low-density lipoprotein cholesterol (LDL-C), medications, hemoglobin A1C (A1C), change in A1C from the previous visit (ΔA1C), and availability of r-SMBG data at the visit.ResultsOur sample was composed of 215 MDC patients (43%) and 285 FP patients (57%). Overall, 151 patients (30%) provided r-SMBG data at their visit, with no difference between MDC or FP patients. Mean A1C at MDC was 9.1%, while mean A1C at FP was 7.9% (P < .001). MDC patients with A1C > 8.0% demonstrated an A1C reduction of 1.2% if they provided r-SMBG, compared to an increase of 0.1% for MDC patients who did not (P < .05). Providing r-SMBG did not affect A1C in FP patients in any A1C range.ConclusionOnly a minority of diabetes patients, mostly insulin-treated, made r-SMBG data available to their providers. Insulin-requiring Managed Medicare/ Medicaid patients with poorly controlled diabetes had an A1c reduction associated with r-SMBG. Prospective studies are needed to determine whether this patient population may be more likely to benefit from r-SMBG at their visits. (Endocr Pract. 2014;20:299-304)     

Do Ethnic Disparities Extend to Subspecialty Diabetes Care?

ObjectiveIt is unclear if disparities described in diabetes primary care extend to subspecialty diabetes care. This retrospective observational study examined disparities in diabetes outcomes in a subspecialty practice by assessing glycemic improvement in type 2 diabetes patients during the first year of enrollment.MethodsElectronic data were gathered on 3,945 subjects. The outcome was the proportion of white and minority (Asian, black, and Hispanic) subjects achieving a hemoglobin A1C (A1C) level of ≤7% after the first year of care. Logistic regression was used to identify factors associated with odds of achieving A1C ≤7%.ResultsMinority patients had greater diabetes duration, more social disadvantages and missed appointments, and worse control at presentation than whites. The proportion of patients reaching target A1C rose from 37 to 52% among white patients and from 28 to 40% among minority patients. Significant differences between whites and minorities in the rates of patients reaching A1C ≤7% were found only among those with higher initial A1C (iA1C) levels (32% vs. 20.9%; P = .002 in third iA1C quartile, and 28.2% vs. 17.9%; P = .0003 in fourth iA1C quartile). The interaction between race/ethnicity and the top two iA1C quartiles remained significant in the fully adjusted model.ConclusionReaching an A1C level of ≤7% depends strongly upon the glycemic level at initial presentation to specialty care, not race. However, minority patients with the highest baseline A1C levels do not improve to the same degree as white patients, and therefore should be targeted for more intensive diabetes care management. (Endocr Pract. 2013;19:431-438)     

Influence of Glycemic Variables on Hemoglobin ALC

ObjectiveTo assess the influences of a wide variety of glucose variables on hemoglobin A1c (A1C).MethodsThe Diabetes Control and Complications Trial database, restricted to volunteers whose 7-point-daily capillary glucose profiles were complete in ≥ 80% of quarterly collections and who were in the study for ≥ 4 years, was used for analysis. Regression analyses were done to develop an equation for estimating A1C based on concurrent and prior mean blood glucose (MBG) values. The multivariate coefficient of determination (R²) was calculated for MBG, mean postprandial blood glucose, mean preprandial blood glucose, digestive glycemia, interdigestive glycemia, individual time points of the 7-point glucose profile, range of blood glucose, SD of blood glucose, M-value, and mean amplitude of glycemic excursions in relationship to A1C. By using regression analysis, the correlation between A1C and MBG within each study subject was determined.ResultsThe most accurate prediction of A1C was obtained from the concurrent MBG. With use of univariate analysis, all glucose variables correlated significantly with concurrent A1C, the strongest correlation occurring with MBG. In multivariate analysis, the primary predictor of A1C was MBG; all other glucose variables added nothing to the models. Within-subject correlations between MBG and A1C showed considerable variation.ConclusionA1C correlates best with MBG derived from 7-point-daily capillary glucose profiles. The influences of glucose measured at specific time points during the day or various measures of glucose variability on A1C are less than that of MBG. Within the limitations of the intermittent glucose determinations, wide variations in the relationship of MBG to A1C among and within patients with type 1 diabetes remain unexplained. (Endocr Pract. 2007;13:350-354)     

Hemoglobin A1C,Mean Glucose,and Persistence of Glycation Ratios in Insulin-Treated Diabetes

ObjectiveDetermine the relationship between mean glucose (MG), as assessed by continuous glucose monitoring (CGM), and hemoglobin A_1c (A1C) in insulin-requiring adults in a clinical practice setting and examine the persistence of this relationship over time.MethodsIn this retrospective record review in a diabetes practice, a linear regression model was developed using data sets from all patients with ≥ 1 available download of a Dexcom SevenPlus CGM device in which there was > 50% utilization in the 60 days prior to a laboratory A1C. Persistence of the MG to A1C relationship was examined in patients with ≥ 2 data sets available.ResultsA total of 139 patients had ≥ 1 data set available for evaluation, and 101 patients had ≥ 2 data sets (range, 2 to 6; total, 279). The slope of the MG versus A1C curve was 19.5 mg/dL for each 1% change in A1C, with an intercept of 17.7 mg/dL. Although 88% of the measured MG values were within 15% of the A1C-predicted MG, there was substantial variation in individuals, with differences as large as ± 26%. The MG to A1C (MG:A1C) ratio, which is a measure of glycation, was normally distributed, with a median of 21.6. Spearman correlation coefficients for the MG:A1C ratio on repeated measures ranged from 0.52 to 0.73, demonstrating persistence.ConclusionThe relationship between MG and A1C is linear in a population but can vary between individuals. The MG:A1C ratio was normally distributed, tended to persist in individuals over time, and thus could be useful to identify apparent high and low glycators. Glycemic goals may need to be modified in such patients. (Endocr Pract. 2014;20:252-260)     

Partial Hospitalization: An Intervention for Youth with Poorly Controlled Diabetes Mellitus

Objective: To examine the efficacy of an integrated medical/psychiatric partial hospitalization program (PHP) to improve glycemic control in youth with both diabetes mellitus and mental health disorders.Methods: This retrospective chart review is of patients admitted to a PHP between 2005–2015 with concerns about diabetes mellitus care. Clinical characteristics, laboratory data, diabetic ketoacidosis hospitalizations, and outpatient clinic visit frequency were collected from the year prior to the year after PHP admission.Results: A total of 43 individuals met inclusion criteria: 22 (51%) were female, 40 (93%) had type 1 diabetes, the mean age was 15.2 ± 2.3 years, and the mean diabetes mellitus duration was 4.6 ± 3.6 years. Of those individuals, 35 of these patients had hemoglobin A1c (HbA1c) data available at baseline, 6 months, and 1 year after PHP. The average HbA1c before PHP admission was 11.3 ± 2.3% (100.5 ± 25 mmol/mol), and decreased to 9.2 ± 1.3% (76.7 ± 14.8 mmol/mol) within 6 months of PHP admission (P<.001). The average HbA1c 1 year after PHP was 10.7 ± 1.7 % (93.3 ± 19.1 mmol/mol). Overall, 24 patients (68%) had lower HbA1c, and 75% of those with improvement maintained an HbA1c reduction of ≥1% (≥10 mmol/mol) at 1 year compared to before PHP.Conclusion: Most patients demonstrated improved glycemic control within 6 months of PHP admission, and many of those maintained a ≥1% (≥10 mmol/mol) reduction in HbA1c at 1 year following PHP admission. This program may represent a promising intervention that could serve as a model for intensive outpatient management of youth with poorly controlled diabetes mellitus.Abbreviations: ADA = American Diabetes Association; DKA = diabetic ketoacidosis; EMR = electronic medical record; HbA1c = hemoglobin A1c; ICD-9 = International Classification of Diseases, 9^th revision; PHP = partial hospitalization program     

Standardized Glycemic Management and Perioperative Glycemic Outcomes in Patients with Diabetes Mellitus who Undergo Same-Day Surgery

ObjectiveTo assess the safety and effectiveness of a standardized glycemic management protocol in patients with diabetes mellitus who undergo same-day surgery.MethodsThe perioperative glycemic management protocol consisted of preoperative instructions and perioperative order sets for management of subcutaneous and intravenous insulin. Patients with known diabetes admitted to same-day surgery during a 10-month period were observed. Patient demographic information and all capillary blood glucose (CBG) values obtained during the sameday surgery visit were collected. Hyperglycemia, defined as a CBG concentration of 200 mg/dL or greater, prompted notification of the attending anesthesiologist. While use of the perioperative order sets was encouraged, the attending anesthesiologist retained the prerogative to treat according to these order sets or their usual care. Physician compliance with the standardized order sets was determined by chart review in the patients who had a documented blood glucose value of 200 mg/dL or greater.ResultsPatients managed with the standardized order sets had greater reductions in CBG values (percentage change, 35 ± 20.5% vs 18 ± 24%, P < .001) and lower postoperative CBG values (186 ± 53 mg/dL vs 208 ± 63 mg/dL, P < .05) than patients who received usual care. No cases of intraoperative or postoperative hypoglycemia (CBG < 70 mg/dL) were observed in either group.ConclusionsA systematic approach to glycemic management that includes instructions for preoperative adjustments to home diabetic medications and order sets for treatment of perioperative hyperglycemia is safe and can be more effective than usual care for ambulatory surgery patients with diabetes. (Endocr Pract. 2011;17:404-411)     

Effect of An Educational Inpatient Diabetes Management Program on Medical Resident Knowledge and Measures of Glycemic Control: A Randomized Controlled Trial

ObjectiveTo investigate the effectiveness of an Inpatient Diabetes Management Program (IDMP) on physician knowledge and inpatient glycemic control.MethodsResidents assigned to General Internal Medicine inpatient services were randomized to receive the IDMP (IDMP group) or usual education only (nonIDMP group). Both groups received an overview of inpatient diabetes management in conjunction with reminders of existing order sets on the hospital Web site. The IDMP group received print copies of the program and access to an electronic version for a personal digital assistant (PDA). A Diabetes Knowledge Test (DKT) was administered at baseline and at the end of the 1-month rotation. The frequency of hyperglycemia among patients under surveillance by each group was compared by using capillary blood glucose values and a dispersion index of glycemic variability. IDMP users completed a questionnaire related to the program.ResultsTwenty-two residents participated (11 in the IDMP group and 11 in the non-IDMP group). Overall Diabetes Knowledge Test scores improved in both groups (IDMP: 69% ± 1.7% versus 83% ± 2.1%, P = .003; nonIDMP: 76% ± 1.2% versus 84% ± 1.4%, P = .02). The percentage of correct responses for management of corticosteroid-associated hyperglycemia (P = .004) and preoperative glycemic management (P = .006) improved in only the IDMP group. The frequency of hyperglycemia (blood glucose level > 180 mg/dL) and the dispersion index (5.3 ± 7.6 versus 3.7 ± 5.6; P = .2) were similar between the 2 groups.ConclusionAn IDMP was effective at improving physician knowledge for managing hyperglycemia in hospitalized patients treated with corticosteroids or in preparation for surgical procedures. Educational programs directed at improving overall health care provider knowledge for inpatient glycemic management may be beneficial; however, improvements in knowledge do not necessarily result in improved glycemic outcomes. (Endocr Pract. 2012;18:238-249)     

Advanced Insulin Management program reduces A1C levels and regimen-related distress without weight gain in patients with type 1 diabetes mellitus

Background: Despite the availability of effective treatments, many patients with diabetes have suboptimal glycemic control.Objective: This study was designed to determine whether the Advanced Insulin Management (AIM) program could help patients with type 1 diabetes mellitus (DM) reduce their A1C levels to ≤7.5% without weight gain, increased incidence of hypoglycemia, or increased diabetes-related distress.Methods: The AIM program, developed to intensify glycemic control in patients with type 1 DM, consisted of a screening visit and 3 to 6 interactive group sessions, depending on whether the patient elects multiple daily injections (MDIs) or an insulin pump. Patients who wanted to learn additional diabetes management skills were referred by their endocrinologist, and those with competent carbohydrate-counting skills and record-keeping practices were eligible to enroll. A nurse, dietitian, psychologist, and physician provided group instruction and supported individual goal setting. The program included depression screening, regimen adjustments, and problem-solving activities. Outcome measures, including blood glucose, A1C, weight, and diabetes-related distress, were tracked for 12 months.Results: The study included 113 adult patients with type 1 DM (59% female; mean age, 39 years). Twenty patients already had insulin pumps, 46 patients initiated pump therapy during the study, and 47 patients elected MDIs. Mean A1C declined by 0.5% (to 7.3%) after 12 months, without weight gain or increased hypoglycemia. A significant decrease in diabetes-related distress was observed.Conclusion: The AIM program was associated with important improvements in glycemic control in patients with type 1 DM, without weight gain or increased hypoglycemic episodes.     

Effect of Treatment of OSA With CPAP on Glycemic Control in Adults With Type 2 Diabetes: The Diabetes Sleep Treatment Trial (DSTT)

ObjectiveThe effect of obstructive sleep apnea (OSA) treatment with continuous positive airway pressure (CPAP) on glycemic measures in patients with type 2 diabetes (T2D) remains unclear. We aimed to determine whether CPAP treatment of OSA improves glycemic measures in patients with T2D.MethodsThis randomized controlled trial (N = 98) examined changes in glycemic measures following 12 weeks of active (n = 49) or sham (n = 49) CPAP and consideried participants’ adherence to CPAP therapy (percentage of days with ≥4 hours use and average hours/day of use).ResultsBaseline treatment groups were similar. Regarding the efficacy of active vs sham-CPAP over time, at 6 weeks, both groups had similar reductions in fructosamine (mean difference [MD], 95% confidence interval [CI]: CPAP ?13.10 [?25.49 to ?0.7] vs. sham ?7.26 [?20.2 to 5.69]; P = .519) but different in HbA1c (CPAP ?0.24 [?0.48 to ?0.003] vs sham 0.15 [?0.10 to 0.4]; P = .027). At 12 weeks, reductions in HbA1c values were similar by group (CPAP ?0.26 [?0.53 to 0.002] vs sham ?0.24 [?0.53 to 0.04]; P = .924). HbA1c reductions were associated with a greater percentage of cumulative days of CPAP usage ≥4 hours per day (b [SE] = 0.006 [0.002]; P = .013) and cumulative hours of CPAP use (b [SE] = 0.08 [0.08]; P = .012). CPAP use of ≥7 hours was associated with a significant reduction in HbA1c (b [SE] 0.54 [0.16]; P = .0012).ConclusionCPAP treatment of OSA did not result in sustained improved glycemic control compared to sham in the intent-to-treat analysis. CPAP adherence was associated with greater improvements in glycemic control.     

Impact of the Time-Weighted Average Glucose Concentration and Diabetes on In-Hospital Mortality in Critically Ill Patients Older Than 75 Years: A Retrospective Cohort Study

ObjectiveTo evaluate the effects of diabetes and hyperglycemia on in-hospital mortality in critically ill patients older than 75 years.MethodsThis was a single-center retrospective cohort study of patients older than 75 years in the first intensive care unit stay. The patients were divided into the following 4 groups: time-weighted average glucose (TWAG) <140 mg/dL without diabetes (group 1), TWAG ≥140 mg/dL without diabetes (group 2), TWAG <180 mg/dL with diabetes (group 3), and TWAG ≥180 mg/dL with diabetes (group 4). Clinical and laboratory data were analyzed.ResultsA total of 6760 patients over 75 years of age were included, including 2089 patients previously diagnosed with diabetes. The patients in group 2 had the highest in-hospital mortality (27.4%). In the fully adjusted regression model, the risk of in-hospital mortality increased by 76% (odds ratio = 1.76, 95% CI: 1.49-2.08) in group 2 as compared with group 1. Those from groups 3 and 4 exhibited risks equivalent to the risks of those in group 1; similar results were observed in the subgroup analysis. A J-shaped curve relationship and threshold effect were observed in patients without diabetes. For those with diabetes, a flatter curve pattern with a small slope was observed.ConclusionStress hyperglycemia was more detrimental to short-term prognosis than diabetes status in these patients. Looser glucose control may be suitable for patients older than 75 years with diabetes but unnecessary for those without diabetes. Patients with diabetes may be more resistant to the detrimental effects of glucose variations.     

Insulin Requirements in Patients With Type 2 Diabetes Undergoing Bariatric Surgery in the Inpatient Setting and Upon Discharge: A Single-Center Retrospective Analysis of Insulin Management Strategies

ObjectiveRapid improvement in blood glucose (BG) after weight-loss surgery (WLS) can make postoperative glucose management challenging in patients with type 2 diabetes mellitus (T2DM). Our study examined the safety and efficacy of insulin management strategies during hospitalization and after discharge following WLS.MethodsThis single-center retrospective cohort study included 160 adult patients with type 2 diabetes mellitus undergoing WLS. Patients with glycated hemoglobin A1C (HbA1C) level <7% (53 mmol/mol) and not on antihyperglycemic medications or metformin monotherapy were excluded. BG and insulin dosing during hospitalization and at 2-week follow-up, and impact of preoperative HbA1C level were analyzed.ResultsMean age was 46.3 years. Median preoperative HbA1C level was 8% (64 mmol/mol). Postoperatively, most patients received basal insulin plus sliding-scale insulin (SSI; 79/160, 49%) or SSI alone (77/160, 48%). The initial postoperative basal dose was 0.23 units/kg/day. The median basal insulin dose at discharge was 61% lower than preoperative dose. At 2-week follow-up, 34 of 44 patients (77%) had BG levels between 70-200 mg/dL and 1 of 44 (2.2%) had BG levels >200 mg/dL, with no hypoglycemia. Patients with HbA1C level >9% (75 mmol/mol) had higher BG on admission and during hospitalization, required higher insulin doses while hospitalized, and were more frequently discharged on insulin.ConclusionSSI is effective in managing BG in some patients immediately after WLS. However, about half of the patients may require basal insulin at doses similar to those required by other inpatients. Preoperative hyperglycemia may affect inpatient insulin needs and BG. Low-dose basal insulin appears safe and effective upon discharge for select patients.     

Proactive Protocol-Based Management of Hyperglycemia and Diabetes in Colorectal Surgery Patients

Objective: The management of diabetic patients undergoing elective abdominal surgery continues to be unsystematic, despite evidence that standardized perioperative glycemic control is associated with fewer postoperative surgical complications. We examined the efficacy of a pre-operative diabetes optimization protocol implemented at a single institution in improving perioperative glycemic control with a target blood glucose of 80 to 180 mg/dL.Methods: Patients with established and newly diagnosed diabetes who underwent elective colorectal surgery were included. The control group comprised 103 patients from January 1, 2011, through December 31, 2013, before protocol implementation. The glycemic-optimized group included 96 patients following protocol implementation from January 1, 2014, through July 31, 2016. Data included demographic information, blood glucose levels, insulin doses, hypoglycemic events, and clinical outcomes (length of stay, re-admissions, complications, and mortality).Results: Patients enrolled in the glycemic optimization protocol had significantly lower glucose levels intra-operatively (145.0 mg/dL vs. 158.1 mg/dL; P = .03) and postoperatively (135.6 mg/dL vs. 145.2 mg/dL; P = .005). A higher proportion of patients enrolled in the protocol received insulin than patients in the control group (0.63 vs. 0.48; P = .01), but the insulin was administered less frequently (median [interquartile range] number of times, 6.0 [2.0 to 11.0] vs. 7.0 [5.0 to 11.0]; P = .04). Two episodes of symptomatic hypoglycemia occurred in the control group. There was no difference in clinical outcomes.Conclusion: Improved peri-operative glycemic control was observed following implementation of a standardized institutional protocol for managing diabetic patients undergoing elective colorectal surgery.Abbreviations: HbA1c = glycated hemoglobin A1c; IQR = interquartile range     

Effect of Bromocriptine-Qr On Glycemic Control in Subjects with Uncontrolled Hyperglycemia On One or Two Oral Anti-Diabetes Agents

ObjectiveTo investigate the effect of Bromocriptine QR on glycemic control in patients with type 2 diabetes whose glycemia is poorly controlled on one or two oral anti-diabetes agents.MethodsFive hundred fifteen Type 2 Diabetes Mellitus (T2DM) subjects (ages 18 to 80 and average body mass index [BMI] of 32.7) with baseline HbA1c ≥ 7.5 and on one or two oral anti-diabetes (OAD) medications (metformin, sulfonylurea, and/or thiazolidinediones) were randomized 2:1 to bromocriptine-QR (1.6 to 4.8 mg/day) or placebo for a 24 week treatment period. Study investigators were allowed to adjust, if necessary, subject anti diabetes medications during the study to attempt to achieve glycemic control in case of glycemic deterioration. The impact of bromocriptine-QR treatment intervention on glycemic control was assessed in subjects on any one or two OADs (ALL treatment category) (N = 515), or on metformin with or without another OAD (Met/OAD treatment category) (N = 356), or on metformin plus a sulfonylurea (Met/SU treatment category) (N = 245) 1) by examining the between group difference in change from baseline a) concomitant OAD medication changes during the study, and b) HbA1c and 2) by determining the odds of reaching HbA1c of ≤ 7.0% on bromocriptine-QR versus placebo.ResultsSignificantly more patients (approximately 1.5 to 2-fold more; P < .05) intensified concomitant anti diabetes medication therapy during the study in the placebo versus the bromocriptine-QR arm. In subjects that did not change the intensity of the baseline diabetes therapy (72%), and that were on any one or two OADs (ALL), or on metformin with or without another OAD (Met/OAD), or on metformin plus sulfonylurea (Met/SU), the HbA1c change for bromocriptine-QR versus placebo was − 0.47 versus + 0.22 (between group delta of − 0.69, P < .0001), − 0.55 versus + 0.26 (between group delta of − 0.81, P < .0001) and − 0.63 versus + 0.20 (between group delta of − 0.83, P < .0001) respectively, after 24 weeks on therapy. The odds ratio of reaching HbA1c of ≤ 7.0% was 6.50, 12.03 and 11.45 (P < .0002) for these three groups, respectively.ConclusionIn T2DM subjects whose hyperglycemia is poorly controlled on one or two oral agents, bromocrip tine-QR therapy for 24 weeks can provide significant added improvement in glycemic control relative to adding placebo. (Endocr Pract. 2012;18:931-943)     

Association Between a Low-Carbohydrate Diet,Glycemic Control,and Quality of Life in Australian Adults Living With Type 1 Diabetes: A Pilot Study

ObjectiveTo examine if there is an association between a low-carbohydrate diet (LCD), glycemic control, and quality of life (QoL) in Australian adults with type 1 diabetes.MethodsThis single-group, pre-post, mixed methods (quantitative and qualitative) study was conducted in an outpatient tertiary hospital. Eligible participants were those aged ≥18 years, with type 1 diabetes for ≥1 year, and using multiple daily insulin injections. Participants followed a 12-week individualized LCD (<100 g/d). Daily glucose levels were monitored using a continuous glucose monitor. Glycated hemoglobin (HbA1c) and QoL were measured preintervention and postintervention. A post-hoc exploratory regression analysis determined whether changes in carbohydrate intake was associated with changes in HbA1c and QoL. Qualitative data collected postintervention explored participants’ perceptions relating to a LCD, glycemic control, and QoL.ResultsParticipants (n = 22) completed the 12-week LCD intervention. An LCD provided a statistically, significant improvement in HbA1c 0.83% (95% CI 0.32%-1.33%), P = .003 but did not impact QoL: estimated change 1.14 units (95% CI: ?5.34 to 7.61); P = .72. The post-hoc exploratory regression analysis showed that participants with poorer baseline glycemic control were more likely to respond to an LCD resulting in significant reductions in HbA1c. Participant perceptions relating to the study variables were mixed.ConclusionsAn LCD (<100 g/d) is a potentially effective and safe strategy to improve glycemic control without negatively effecting QoL in Australian adults with type 1 diabetes.