Effect Of A Targeted Glycemic Management Program On Provider Response To Inpatient Hyperglycemia

ObjectiveTo report the results of implementation of a Targeted Glycemic Management (TGM) Service pilot, with the goals of improving clinician awareness of available inpatient glycemic management protocols and improving responsiveness to and frequency of severe hyperglycemia.MethodsPatients with a blood glucose (BG) level ≥ 300 mg/dL who were hospitalized on a general medicine unit during three 12-week periods before, during, and after the TGM pilot were compared for responsiveness by the primary team, percentage of subsequent BG measurements between 80 and 180 mg/dL, and frequency of subsequent severe hyperglycemia (BG levels ≥ 300 mg/dL) and hypoglycemia (BG values < 70 mg/dL).ResultsIn comparison with pre-TGM and post-TGM periods, more patients during the TGM pilot had a modification of their glycemic regimen in response to severe hyperglycemia (49% versus 73% versus 50%, before, during, and after TGM, respectively; P = .044), and the percentage of patients with ≥ 50% of subsequent BG measurements in the desired range (27% versus 53% versus 32%; P = .035) was greatest during the TGM period. The incidence of subsequent severe hyperglycemia (20% versus 9% versus 16%; P = .0004) was lowest during the TGM period; however, the incidence of hypoglycemia was similar in all 3 periods (3.9% versus 3.7% versus 3.7%).ConclusionThese results indicate that a TGM Service can favorably influence glycemic management practices and improve glycemic control, but ongoing intervention is necessary for maintenance of these results. (Endocr Pract. 2011;17:552-557)     

Evaluating the Impact of Inadequate Meal Consumption on Insulin-Related Hypoglycemia in Hospitalized Patients

ObjectiveMeal intake is sometimes reduced in hospitalized patients. Meal-time insulin administration can cause hypoglycemia when a meal is not consumed. Inpatient providers may avoid ordering meal-time insulin due to hypoglycemia concerns, which can result in hyperglycemia. The frequency of reduced meal intake in hospitalized patients remains inadequately determined. This quality improvement project evaluates the percentage of meals consumed by hospitalized patients with insulin orders and the resulting risk of postmeal hypoglycemia (blood glucose [BG] <70 mg/dL, <3.9 mmol/L).MethodsThis was a retrospective quality improvement project evaluating patients with any subcutaneous insulin orders hospitalized at a regional academic medical center between 2015 and 2017. BG, laboratory values, point of care, insulin administration, diet orders, and percentage of meal consumed documented by registered nurses were abstracted from electronic health records.ResultsMeal consumption ≥50% was observed for 85% of meals with insulin orders, and bedside registered nurses were accurate at estimating this percentage. Age ≥65 years was a risk factor for reduced meal consumption (21% of meals 0%-49% consumed, P < .05 vs age < 65 years [12%]). Receiving meal-time insulin and then consuming only 0% to 49% of a meal (defined here as a mismatch) was not rare (6% of meals) and increased postmeal hypoglycemia risk. However, the attributable risk of postmeal hypoglycemia due to this mismatch was low (4 events per 1000) in patients with premeal BG between 70 and 180 mg/dL.ConclusionThis project demonstrates that hospitalized patients treated with subcutaneous insulin have a low attributable risk of postmeal hypoglycemia related to inadequate meal intake.     

Development and implementation of evidence-based guidelines for IV insulin: A statewide collaborative approach

Purpose: Recent studies have shown that the outcomes of hospitalized patients are greatly enhanced when steps are taken to improve control of their blood glucose levels. The Georgia Hospital Association Research and Education Foundation's Partnership for Health Accountability established a Diabetes Special Interest Group (D-SIG) in February 2003. Goals of the D-SIG were to enlighten health care professionals in Georgia hospitals about the benefits of controlling hyperglycemia in hospitalized patients and to develop processes to assist hospitals in the adoption of an IV insulin dosing algorithm, development of an IV insulin standing order set, and implementation of a hyperglycemia management plan.Methods: The D-SIG created an assessment tool titled “Key Elements of IV Insulin Guidelines” and evaluated numerous published IV insulin administration algorithms and protocols. After an extensive literature review, including international protocols and guidelines, user-friendly guidelines for subcutaneous and IV insulin were developed by a multidisciplinary work group, with members representing hospitals and other stakeholders from throughout the state. The group chose a well-researched method that was available in both computerized and hand-calculated formats and developed a Columnar Insulin Dosing Chart to assist with IV insulin infusions. This insulin-infusion table stems from mathematical formulas published by multiple investigators since the 1980s. The D-SIG guidelines and dosing chart were evaluated for ease of use, effectiveness, and safety in 3 settings: a small, rural critical-access hospital (CAH); an intensive care unit (ICU) in the trauma center of a large Georgia teaching hospital; and a surgical ICU in a midsize metropolitan hospital.Results: After implementation of the guidelines, the incidence of hypoglycemia (blood glucose level <60 mg/dL) was 0.9% in the trauma center ICU and 0.6% in the surgical ICU. All hypoglycemic patients in these 2 settings were asymptomatic, remained hypoglycemic only for a short time, and experienced no complications attributable to hypoglycemia. Using a moderate insulin sensitivity level for dosing initiations resulted in a time to target blood glucose level (80–110 mg/dL) of 6.4 hours, whereas using the most conservative approach required 12.8 hours to attain target range. At the CAH, time to reach the target blood glucose level (90–140 mg/dL) was 5.8 hours, and no episodes of hypoglycemia were reported. Although not part of the pilot initiative, the surgical ICU also reported a 5-fold reduction in surgical infection rates. The success of the dosing chart and standing order set paralleled that of the computerized formula when similar initiation doses were used.Conclusions: The Columnar Insulin Dosing Chart and sample clinical guidelines were piloted at 3 different settings and found to be safe and effective. Furthermore, by including the treatment for hypoglycemia in the guidelines, nurses in all patient care areas were able to manage blood glucose levels below the target range in a safe and timely manner. Use of the dosing chart and guidelines reduced blood glucose levels to the target range with no clinically significant hypoglycemia.     

Second pilot trials of the STAR-Liege protocol for tight glycemic control in critically ill patients

ABSTRACT: BACKGROUND: Critically ill patients often present increased insulin resistance and stress-induced hyperglycemia. Tight glycemic control aims to reduce blood glucose (BG) levels and variability while ensuring safety from hypoglycemia. This paper presents the results of the second Belgian clinical trial using the customizable STAR framework in a target-to-range control approach. The main objective is reducing measurement frequency while maintaining performance and safety of the glycemic control. METHODS: The STAR-Liege 2 (SL2) protocol targeted the 100--140 mg/dL glycemic band and offered 2-hourly and 3-hourly interventions. Only insulin rates were adjusted, and nutrition inputs were left to the attending clinicians. This protocol restricted the forecasted risk of BG < 90 mg/dL to a 5% level using a stochastic model of insulin sensitivity to assess patient-specific responses to insulin and its future likely variability to optimize insulin interventions. The clinical trial was performed at the Centre Hospitalier Universitaire de Liege and included 9 patients. Results are compared to 24-hour pre-trial and 24-hour post-trial, but also to the results of the first pilot trial performed in Liege, STAR-Liege 1 (SL1). This trial was approved by the Ethics Committee of the Medical Faculty of the University of Liege (Liege, Belgium). RESULTS: During the SL2 trial, 91 measurements were taken over 194 hours. BG levels were tightly distributed: 54.9% of BG within 100--140 mg/dL, 40.7% were [GREATER-THAN OR EQUAL TO] 140 mg/dL and 4.4% were < 100 mg/dL with no BG < 70 mg/dL. Comparing these results with 24-hour pre-trial and post-trial shows that SL2 reduced high and low BG levels and reduced glycemic variability. Nurses selected 3-hourly measurement only 5 of 16 times and overrode 12% of 91 recommended interventions (35% increased insulin rates and 65% decreased insulin rates). SL1 and SL2 present similar BG levels distribution (p > 0.05) with significantly reduced measurement frequency for SL2 (p < 0.05). CONCLUSIONS: The SL2 protocol succeeded in reducing clinical workload while maintaining safety and effectiveness of the glycemic control. SL2 was also shown to be safer and tighter than hospital control. Overall results validate the efficacy of significantly customizing the STAR framework.     

Management of Hyperglycemia in Diabetic Patients with Hematologic Malignancies During Dexamethasone Therapy

ObjectiveTo compare the response to different insulin regimens for management of hyperglycemia in diabetic patients with hematologic malignancies who are receiving dexamethasone.MethodsA retrospective analysis was conducted to determine whether a basal bolus insulin (BBI) regimen with detemir and aspart is superior to a sliding scale regular insulin (SSI) regimen for management of hyperglycemia in hospitalized diabetic patients receiving dexamethasone.ResultsForty patients with hematologic malignancies were treated with intravenous (8 to 12 mg/day) or oral (40 mg/day) dexamethasone for 3 days. The average blood glucose (BG) level was 301 ± 57 mg/dL in the SSI group (n = 28) and 219 ± 51 mg/dL in the BBI group (n = 12) (P <.001). The BBI regimen resulted in an average BG reduction of 52 ± 82 mg/dL throughout the course of dexa-methasone therapy, while the SSI regimen produced an increase in the mean daily BG level of 128 ± 77 mg/dL (P <.001). On the last day of dexamethasone administration, the insulin requirement was 49 ± 29 units/day in the SSI group and 122 ± 39 units/day in the BBI group (P <.001). Three patients in the SSI group developed diabetic ketoacidosis or hyperosmolar hyperglycemia during steroid therapy. No hypoglycemia was observed in either group. The length of stay and infection rates were similar between groups.ConclusionBasal and bolus insulin regimen is an effective and safe approach for managing dexamethasone-induced hyperglycemia in hospitalized patients with hematologic malignancies. (Endocr Pract. 2013;19:231-235)     

Effects of a Computerized Order Set on the Inpatient Management of Hyperglycemia: A Cluster-Randomized Controlled Trial

ObjectiveTo determine the effects of a computerized order set on the inpatient management of diabetes and hyperglycemia.MethodsWe conducted a cluster-randomized controlled trial on the general medical service of an academic medical center staffed by residents and hospitalists. Consecutively enrolled patients with diabetes mellitus or inpatient hyperglycemia were randomized on the basis of their medical team to usual care (control group) or an admission order set built into the hospital’s computer provider order entry (CPOE) system (intervention group). All teams received a detailed subcutaneous insulin protocol and case-based education. The primary outcome was the mean percent of glucose readings per patient between 60 and 180 mg/dL.ResultsBetween April 5 and June 22, 2006, we identified 179 eligible study subjects. The mean percent of glucose readings per patient between 60 and 180 mg/dL was 75% in the intervention group and 71% in the usual care group (adjusted relative risk, 1.36; 95% confidence interval, 1.03 to 1.80). In comparison with usual care, the intervention group also had a lower patient-day weighted mean glucose (148 mg/dL versus 158 mg/dL, P = .04), less use of sliding-scale insulin by itself (25% versus 58%, P = .01), and no significant difference in the rate of severe hypoglycemia (glucose < 40 mg/dL; 0.5% versus 0.3% of patient-days, P = .58).ConclusionThe use of an order set built into a hospital’s CPOE system led to improvements in glycemic control and insulin ordering without causing a significant increase in hypoglycemia. Other institutions with CPOE should consider adopting similar order sets as part of a comprehensive inpatient glycemic management program. (Endocr Pract. 2010;16:209-218)     

Decreased Mortality with Tight Glycemic Control in Critically Ill Patients: A Retrospective Analysis in a Large Community Hospital System

ObjectiveTo measure the efficacy and possible adverse consequences of tight blood glucose (BG) control when compared to relaxed control.MethodsA retrospective, observational study was conducted at a community-based teaching hospital system among adult, nonmaternity hospitalized patients admitted to the intensive care unit (ICU). Tight glycemic control of BG was compared with less strict BG control, and the following outcome measurements were compared: BG, average length of stay (ALOS), severe hypoglycemia, and mortality.ResultsBetween 2008 and 2012, 18,919 patients were admitted to the ICU. The mortality rate was significantly lower (P = .0001) in patients with an average BG between 80 and 110 mg/dL (8%) and 111 and 140 mg/dL (9.4%) than in patients with average BG between 141 and 180 mg/dL (12.9%). Using tight glycemic control (80 to 110 mg/dL), the ALOS in the ICU decreased from 4 to 2.9 days (P < .0001) among all patients, and from 4.2 to 2.1 days (P < .0001) among patients who had undergone coronary artery bypass graft. Comparatively, the ALOS for the hospital decreased from 9.4 to 8 days. The incidence of severe hypoglycemia (BG < 40 mg/dL) was higher (P = .01) in the tight BG control group (4.78%) compared with the relaxed control group (3.5%). This rate was lower than in previously published studies that analyzed the use of tight control.ConclusionTight glycemic control using protocolbased insulin administration resulted in a decrease in mortality and ALOS among all patients in the ICU. The incidence of severe hypoglycemic episodes was slightly higher in the tightly controlled group but remained lower than in previously published studies. (Endocr Pract. 2014;20: 907-918)     

Impact of a Hypoglycemia Reduction Bundle and a Systems Approach to Inpatient Glycemic Management

Objective: Uncontrolled hyperglycemia and iatrogenic hypoglycemia represent common and frequently preventable quality and safety issues. We sought to demonstrate the effectiveness of a hypoglycemia reduction bundle, proactive surveillance of glycemic outliers, and an interdisciplinary data-driven approach to glycemic management.Methods: Population: all hospitalized adult non–intensive care unit (non-ICU) patients with hyperglycemia and/or a diagnosis of diabetes admitted to our 550-bed academic center across 5 calendar years (CYs). Interventions: hypoglycemia reduction bundle targeting most common remediable contributors to iatrogenic hypoglycemia; clinical decision support in standardized order sets and glucose management pages; measure-vention (daily measurement of glycemic outliers with concurrent intervention by the inpatient diabetes team); educational programs. Measures and analysis: Pearson chi-square value with relative risks (RRs) and 95% confidence intervals (CIs) were calculated to compare glycemic control, hypoglycemia, and hypoglycemia management parameters across the baseline time period (TP1, CY 2009–2010), transitional (TP2, CY 2011–2012), and mature postintervention phase (TP3, CY 2013). Hypoglycemia defined as blood glucose <70 mg/dL, severe hypoglycemia as <40 mg/dL, and severe hyperglycemia >299 mg/dL.Results: A total of 22,990 non-ICU patients, representing 94,900 patient-days of observation were included over the 5-year study. The RR TP3:TP1 for glycemic excursions was reduced significantly: hypoglycemic stay, 0.71 (95% CI, 0.65 to 0.79); severe hypoglycemic stay, 0.44 (95% CI, 0.34 to 0.58); recurrent hypoglycemic day during stay, 0.78 (95% CI, 0.64 to 0.94); severe hypoglycemic day, 0.48 (95% CI, 0.37 to 0.62); severe hyperglycemic day (>299 mg/dL), 0.76 (95% CI, 0.73 to 0.80).Conclusion: Hyperglycemia and hypoglycemia event rates were both improved, with the most marked effect on severe hypoglycemic events. Most of these interventions should be portable to other hospitals.Abbreviations: BG = blood glucose CDS = clinical decision support CI = confidence interval CY = calendar year DIG = diabetes initiative group EHR = electronic health record ICU = intensive care unit RR = relative risk SHM = Society of Hospital Medicine TP = time period     

Risk of Postoperative Hypoglycemia In Cardiovascular Surgical Patients Receiving Computer-Based Versus Paper-Based Insulin Therapy

ObjectiveTo evaluate the safety and efficacy of replacing a paper-based protocol with a computer-guided glucose management system (CGMS) for the treatment of postoperative hyperglycemia in the cardiovascular intensive care unit (CVICU).MethodsWith use of a before-and-after analysis, adult patients (≥ 18 years) discharged from the CVICU and treated with the paper protocol were compared with patients discharged from the CVICU and treated with the CGMS. Of the 1,648 patients analyzed, 991 were in the CGMS group. Clinical end points were evaluated by using the Wilcoxon test. Unadjusted and adjusted hazard ratios (HRs) for each hypoglycemic end point were calculated from Cox models with use of the proportional hazards regression procedure, and clinical end points were adjusted for potential confounders.ResultsPatients treated with the paper protocol were6 times as likely to experience clinical hypoglycemia (blood glucose ≤ 70 mg/dL) as patients treated with the CGMS (adjusted HR = 6.06; P < .0001) and more than 7 times as likely to experience severe hypoglycemia (blood glucose ≤ 40 mg/dL) (adjusted HR = 7.59; P = .01). Despite the increased risk of hypoglycemia, no significant difference in length of stay or mortality was observed between the groups.ConclusionCGMS treatment of postoperative hyperglycemia in CVICU patients can successfully attain goal glucose levels with a significant reduction in hypoglycemia in comparison with a paper protocol. This association persists after controlling for covariates. (Endocr Pract. 2012; 18:529-537)     

Examination of Implementation of Intravenous and Subcutaneous Insulin Protocols and Glycemic Control in Heart Transplant Patients

ObjectivePerioperative glycemic management is particularly challenging in heart transplant (HT) patients who are on high-dose steroids and subject to surgical stress. The objective of the study was to examine the efficacy and safety of perioperative insulin administration in HT patients with and without diabetes.MethodsMedical records of 71 HT patients from June 1, 2005 to July 31, 2009 whose hyperglycemia was managed by our Glucose Management Service (GMS) were analyzed for up to 1 year after HT. Their daily blood glucose (BG) averages on intravenous (IV) insulin drips and subcutaneous (SQ) insulin, hypoglycemia rates, reasons for hypoglycemia, and deviations from insulin protocols were analyzed.ResultsDaily BG averages between diabetic (DM) and nondiabetic (nonDM) patients were not significantly different while on the drip but were significantly different for first 5 days on SQ (P < .05). The daily insulin glargine doses were similar. No patients developed severe hypoglycemia (BG ≤ 40 mg/dL) while on drip, and only 2.8% experienced hypoglycemia on SQ. Among 40 episodes of moderate hypoglycemia while on drip, 15 had nurse deviations from protocol prior to the episode. Posttransition day fasting glucose was at goal (mean 124.7 ± 35.4 mg/dL); however 39.4% (28/71) of patients received a transition insulin glargine dose that was different from the amount indicated by protocol. The likelihood of developing moderate hypoglycemia on SQ was associated with the glargine dose used at the time of transition (odds ratio [OR] 1.03, P = .034).ConclusionInpatient insulin protocols implemented by a GMS are successful in obtaining glycemic control with minimal side effects in patients with and without diabetes, even when they are on a high-dose steroid regimen. (Endocr Pract. 2014;20:527-535)     

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     

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.     

Glucose Variability is an Independent Predictor of Mortality in Hospitalized Patients Treated with Total Parenteral Nutrition

ObjectiveHyperglycemia is associated with increased mortality in critically ill patients treated with total parenteral nutrition (TPN). The role of glucose variability (GV) in predicting outcomes in these patients is not known.MethodsThis retrospective study included medical and surgical patients receiving TPN in a community teaching hospital. GV was calculated by standard deviation (SD) of blood glucose (BG) values and by mean BG daily (Δ) change (daily max – daily minimum).ResultsA total of 276 medical and surgical patients (mean age: 51 ± 18 years), 19% with a history of diabetes mellitus (DM), and 74% with intensive care unit (ICU) admission were treated with TPN. During TPN, the mean daily BG was 142.9 ± 33 mg/dL; frequencies of hypoglycemia < 70 and < 40 mg/dL were 41% and 3%, respectively; and hospital mortality was 27.2%. The mean GV by SD was 38 ± 21 mg/dL and by mean (Δ) change 58 ± 34 mg/dL. GV was significantly higher in deceased patients (SD: 48 ± 25 vs. 34 ± 18 mg/dL and Δ change: 75 ± 39 vs. 51 ± 29 mg/dL, both P < .01) than surviving patients. Multivariate analysis adjusted for age, DM status, gender, APACHE (Acute Physiology and Chronic Health Evaluation) score, mean daily glucose, and hypoglycemia revealed that GV was an independent predictor of hospital mortality (P < .05). The association between GV and mortality was limited to patients without a history of DM and was not present in patients with DM.ConclusionHigh GV is associated with increased hospital mortality independent of the presence and severity of hyperglycemia or hypoglycemia during TPN therapy. Prospective randomized trials are needed to determine if reduction in GV with intensive glycemic control improves clinical outcomes in patients treated with TPN. (Endocr Pract. 2014;20:41-45)     

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     

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     

Glycemic Control with use of Insulin Glargine after Cardiothoracic Surgery: A Retrospective Study

ObjectivePerioperative glycemic control in critically ill cardiothoracic surgery patients may improve postsurgical outcomes. The objective of the study was to compare outcomes before and after the implementation of a protocol using subcutaneous (SC) glargine at transition from intravenous insulin infusion (IVII).MethodsIn August 2006, the Cleveland Clinic began using glargine and supplemental rapid-acting sliding scale insulin (SSI) at transition from IVII (glargine-SSI group). Before August 2006, only supplemental insulin was used (SSI-only group). The primary outcome was first blood glucose (BG1) after discontinuation of IVII. Secondary outcomes included the absolute difference between the last glucose before discontinuation of IVII (BG0) and BG1, mean glucose in the first 24 hours after discontinuation of IVII (BG24), need for SSI, and hypoglycemia.ResultsMean BG0, BG1, and BG24, and the difference between BG1 and BG0 and between BG24 and BG0 were not significantly different between groups. Diabetes mellitus (DM) patients who had received glargine had a lower mean difference between BG1 and BG0 and a lower mean BG24 than those who had not received glargine (14.6 mg/dL vs. 33.1 mg/dL; P = .20, and 163.8 mg/dL vs. 177.9 mg/dL; P = .29, respectively). A higher proportion of DM patients needed SSI than did non-DM patients (82% vs. 36%; P<.001).ConclusionGlargine administered at the cessation of IVII enabled less SSI coverage in diabetic patients subsequent to transition from IVII. However, there was no significant difference in BG control between the glargine-SSI and SSI-only groups. Prospective studies involving more patients are needed to show possible clinically significant benefits of this intervention. (Endocr Pract. 2013;19:485-493)     

Benchmarking Glycemic Control In U.S. Hospitals

ObjectiveReport data on glucose control from 635 U.S. hospitals.MethodsPoint-of-care blood glucose (POC-BG) test data from January through December 2012 from 635 facilities were extracted. Glucose control was evaluated using patient-day–weighted mean POC-BG values. We calculated hypoglycemia and hyperglycemia rates, stratified by presence or absence of intensive care unit (ICU) admission, and we evaluated the relationship between glycemic control and hospital characteristics.ResultsIn total, 51,375,764 POC-BG measurements (non-ICU, 39,197,762; ICU, 12,178,002) from 2,612,966 patients (non-ICU, 2,415,209; ICU, 575,084) were analyzed. The mean POC-BG was 167 mg/dL for non-ICU patients and 170 mg/dL for ICU patients. The prevalence of hyperglycemia (defined as glucose value > 180 mg/dL) was 32.3 and 28.2% in non-ICU and ICU patients, respectively. The prevalence of hypoglycemia (defined as glucose value < 70 mg/dL) was 6.1 and 5.6% in non-ICU and ICU patients, respectively. In non-ICU and ICU settings, the patient-day–weighted mean glucose was highest in the smallest hospitals, in rural hospitals, and in hospitals located in the Northeast (all P < .01). For non-ICU patients, we observed a significant difference in the percentage of patient days with hypoglycemia by geographic region only (P < .001). In ICU patients, the prevalence of hypoglycemia varied significantly by hospital type (P < .03) and geographic region (P < .01).ConclusionIn this largest POC-BG data set analysis conducted to date, glycemic control varied according to hospital characteristics. Our findings remain consistent with previous reports. Among other variables, national benchmarking of inpatient glucose data will need to consider differences in hospital characteristics. (Endocr Pract. 2014;20:876-883)     

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)     

Assessment of the Effectiveness of a Protocol to Manage Dexamethasone-Induced Hyperglycemia Among Hospitalized Patients With COVID-19

ObjectiveWell-controlled glucose levels (ie, 70-180 mg/dL) have been associated with lower mortality from COVID-19. The addition of dexamethasone to COVID-19 treatment protocols has raised concerns about the potential negative consequences of dexamethasone-induced hyperglycemia.MethodsWe developed a protocol to guide the management of dexamethasone-induced hyperglycemia in hospitalized patients with COVID-19. Two of the 4 medical teams managing patients with COVID-19 at a tertiary center in Saudi Arabia used the protocol and the other 2 teams continued to manage hyperglycemia at the discretion of the treating physicians (protocol and control groups, respectively). The glycemic control and clinical outcomes in 163 patients hospitalized with COVID-19 and dexamethasone-induced hyperglycemia between July 5th and September 30th, 2020, were retrospectively compared between the 2 groups.ResultsCompared to the control group, the protocol group had higher proportions of patients with well-controlled glucose across all premeals and bedtime glucose readings throughout the hospital stay. The differences in glycemic control between the 2 groups were statistically significant for fasting glucose on days 4, 5, and the discharge day; prelunch glucose on the discharge day; predinner glucose on days 3, 5, and the discharge day; and bedtime glucose on day 1 (all P < .05). After adjusting for age, sex, nationality, body mass index, Charlson score, and diabetes status, patients in the protocol group were more likely to have well-controlled glucose levels compared with those in the control group. Moreover, the in-hospital mortality was significantly lower in the protocol group (12.93%) compared to the control group (29.93%) (P < .01).ConclusionThe implementation of a protocol to manage dexamethasone-induced hyperglycemia in hospitalized patients with COVID-19 resulted in more patients achieving well-controlled glucose levels and was associated with lower mortality from COVID-19.     

Association of Glycemic Control Parameters with Clinical Outcomes in Chronic Critical Illness

ObjectiveChronic critical illness (CCI) is a term used to designate patients requiring prolonged mechanical ventilation and tracheostomy with associated poor outcomes. The present study assessed the impact of glycemic parameters on outcomes in a CCI population.MethodsA retrospective case series was performed including 148 patients in The Mount Sinai Hospital Respiratory Care Unit (2009-2010). Utilizing a semi-parametric mixture model, trajectories for the daily mean blood glucose (BG), BG range, and hypoglycemia rate over time identified low- (n = 87) and high-risk (n = 61) hyperglycemia groups and low- (n = 90) and high-risk (n = 58) hypoglycemia groups. The cohort was also classified into diabetes (DM, n = 48), stress hyperglycemia (SH, n = 85), and normal glucose (n = 15) groups.ResultsHospital- (28% vs. 13%, P = .0199) and 1-year mortality (66% vs. 46%, P = .0185) rates were significantly greater in the high- versus low-risk hyperglycemia groups, respectively. The hypoglycemia rate (< 70 mg/dL) was lower among ventilator-liberated patients compared to those who failed to liberate (0.092 vs. 0.130, P < .0001). In the SH group, both hospital mortality (high-risk hyperglycemia 48% and low-risk hyperglycemia 15%, P = .0013) and 1-year mortality (high-risk 74% and low-risk 50%, P = .0482) remained significantly different, while no significant difference in the diabetes group was observed. There were lower hypoglycemia rates with SH compared to diabetes (< 70 mg/dL: 0.086 vs. 0.182, P < .0001; < 40 mg/dL: 0.012 vs. 0.022, P = .0118, respectively).ConclusionTighter glycemic control was associated with improved outcomes in CCI patients with SH but not in CCI patients with diabetes. Confirmation of these findings may lead to stratified glycemic control protocols in CCI patients based on the presence or absence of diabetes. (Endocr Pract. 2014;20:884-893)