Insulin therapy for the management of hyperglycemia in hospitalized patients

Postoperative Insulin Dose for Cardiac Artery Bypass Graft and Other Cardiac Surgeries in Patients with Type 2 Diabetes: A Retrospective Study

Purpose

Recommendations on perioperative glycemic control in cardiac surgery are based on coronary artery bypass graft surgery (CABG), though coronary artery disease and valvular disease are pathologically distinct. We aimed to compare the postoperative insulin requirement between CABG and other cardiac surgeries in type 2 diabetic patients and identify predictive factors for the maximum postoperative insulin dose.

Patients and Methods

We retrospectively included 60 Japanese patients with diabetes/glucose intolerance (HbA1c > 37 mmol/mol [5.6%]) who were hospitalized for cardiovascular surgery between April 2017 and March 2019. We categorized the subjects into the CABG and non-CABG groups, and performed subgroup analysis on patients who received postoperative insulin therapy.

Results

The CABG group required a significantly higher insulin dose on postoperative days 2, 5, 6, and 7, and a significantly higher maximum postoperative insulin dose (24.6 U vs 9.7 U, P < 0.001) than the non-CABG group. Multivariate linear regression analyses showed that the independent determinants of the maximum postoperative insulin dose were HbA1c and duration of diabetes in the non-CABG group, and HbA1c in the CABG group.

Conclusion

CABG had a higher postoperative insulin requirement than other cardiovascular surgeries; early aggressive insulin therapy is indicated, especially for patients with higher HbA1c levels/longer duration of diabetes.

Hypoglycemia after Mitral Valve Repair in Dogs

Hypoglycemia has not been previously reported as a postoperative complication of mitral valve repair (MVR) in dogs; however, the authors have encountered cases of hypoglycemia after MVR. This study aimed to determine the incidence of hypoglycemia in dogs after MVR and investigate its causes. Blood glucose levels were measured at multiple timepoints in dogs undergoing MVR. Simultaneously, insulin and glucagon blood concentrations in dogs with hypoglycemia preoperatively and postoperatively were compared to verify the physiological responses to hypoglycemia. Furthermore, risk factors for hypoglycemia, using variables selected based on the characteristics of MVR and dogs undergoing MVR, were examined prospectively. The incidence of hypoglycemia after MVR was 14.2%, and plasma glucagon concentrations increased in these dogs (mean: 260 pg/mL and 644 pg/mL pre- and postoperatively, p < 0.001), whereas serum insulin concentrations decreased (median: 0.50 ng/mL and 0.29 ng/mL pre- and postoperatively, p = 0.002). Therefore, hyperinsulinemia or hypoglucagonemia is unlikely to be the cause of postoperative hypoglycemia. The identified risk factors for hypoglycemia included low body weight and asymptomatic myxomatous mitral valve disease. Monitoring blood glucose levels after MVR should be included in the standard hospitalization plan to prevent hypoglycemic emergencies in dogs.

Association between dysglycemia and the Charlson Comorbidity Index among hospitalized patients with diabetes

AIM

Inpatient dysglycemia has been linked to short-term mortality, but longer-term mortality data are lacking. Our aim was to evaluate the association between inpatient dysglycemia and one-year mortality risk.

METHODS

Retrospective chart review of adults with diabetes hospitalized between 2015 and 2019. The Charlson Comorbidity Index (CCI) was used to estimate 1-year mortality risk, stratified into low (CCI ≤ 5) and high risk (CCI ≥6). Simple and multivariable logistic regression was used to evaluate the association between dysglycemic measures and high mortality risk.

RESULTS

Among 22,639 unique admissions, BG ≥ 180, ≥300, ≤70, <54 and <40 mg/dL were associated with adjusted odds of 1.43 (95 % CI, 1.33, 1.54), 1.58 (95 % CI, 1.48, 1.68), 2.16 (95 % CI, 2.01, 2.32), 2.58 (95 % CI, 2.32, 2.86), and 2.56 (95 % CI, 2.19, 2.99) for high mortality risk, respectively. Older age and Black race were positively associated with hyperglycemia and hypoglycemia. Myocardial infarction, congestive heart failure (CHF), and moderate to severe liver disease were most strongly associated with hyperglycemia, while renal disease, CHF, peripheral vascular disease, and peptic ulcer disease were most strongly associated with hypoglycemia.

CONCLUSIONS

Inpatient hypoglycemia and hyperglycemia were both positively associated with higher one-year mortality risk, with stronger magnitude of association observed for hypoglycemia. The association appears to be mediated mainly by presence of diabetes-related complications.

Machine-learning Prediction of Hypo- and Hyperglycemia from Electronic Health Records: Algorithm Development and Validation

Background

Acute blood glucose (BG) decompensations (hypoglycemia and hyperglycemia) represent a frequent and significant risk for inpatients and adversely affect patient outcomes and safety. The increasing need for BG management in inpatients poses a high demand on clinical staff and health care systems in addition.

Objective

This study aimed to generate a broadly applicable multiclass classification model for predicting BG decompensation events from patients’ electronic health records to indicate where adjustments in patient monitoring and therapeutic interventions are required. This should allow for taking proactive measures before BG levels are derailed.

Methods

A retrospective cohort study was conducted on patients who were hospitalized at a tertiary hospital in Bern, Switzerland. Using patient details and routine data from electronic health records, a multiclass prediction model for BG decompensation events (<3.9 mmol/L [hypoglycemia] or >10, >13.9, or >16.7 mmol/L [representing different degrees of hyperglycemia]) was generated based on a second-level ensemble of gradient-boosted binary trees.

Results

A total of 63,579 hospital admissions of 38,250 patients were included in this study. The multiclass prediction model reached specificities of 93.7%, 98.9%, and 93.9% and sensitivities of 67.1%, 59%, and 63.6% for the main categories of interest, which were nondecompensated cases, hypoglycemia, or hyperglycemia, respectively. The median prediction horizon was 7 hours and 4 hours for hypoglycemia and hyperglycemia, respectively.

Conclusions

Electronic health records have the potential to reliably predict all types of BG decompensation. Readily available patient details and routine laboratory data can support the decisions for proactive interventions and thus help to reduce the detrimental health effects of hypoglycemia and hyperglycemia.

Preadmission Insulin-Treated Type 2 Diabetes Mellitus Patients Had Increased Mortality in Intensive Care Units

AIM

To explore the clinical outcomes among preadmission insulin-treated type 2 diabetes mellitus (T2DM) in intensive care units (ICU).

PATIENTS AND METHODS

In this retrospective observational study, 578 T2DM patients admitted to ICU were recruited from March 2011 to February 2021, which were composed of 528 patients treated with insulin after ICU admission (including 300 preadmission non-insulin-treated and 228 preadmission insulin-treated patients) and 50 patients treated without insulin before and after ICU admission. Clinical outcomes were compared between the groups. Variables of age (± 10 years), gender, blood glucose >10 mmol/l on ICU admission, and original comorbidities were used for matching to get the 1:1 matched cohort. The Kaplan-Meier survival curves were graphed to describe the survival trend and Cox regression analysis was performed to get adjusted hazard ratio (HR).

RESULTS

Compared with the preadmission non-insulin-treated T2DM patients, preadmission insulin-treated T2DM patients had higher incidence of hypoglycemia [14.5% (33/228) vs 8.7% (26/300); p = 0.036]. In the 1:1 matched cohort, the preadmission insulin-treated T2DM patients had significantly increased mortality rate [30.0% (45/150) vs (16.0% (24/150)); adjusted HR, 1.68 (1.01-2.80)] than preadmission non-insulin-treated T2DM patients. Compared with T2DM patients treated without insulin before and after ICU admission, preadmission insulin-treated T2DM patients had higher mortality and longer length of ICU stay (all p < 0.05).

CONCLUSION

Preadmission insulin treatment was associated with increased mortality rate and longer length of ICU stay among T2DM patients in ICU. Preadmission insulin-treated T2DM patients might have worse clinical outcomes when they are critically ill.

Impact of insulin therapy before donation on graft outcomes in pancreas transplantation: An analysis of the OPTN/UNOS database

AIMS

Information on the impact of insulin therapy before pancreas donation on pancreas outcomes is scarce. We aim to explore the influence of insulin therapy before donation on recipient and pancreas graft survival.

METHODS

Registry study including 12,841 pancreas recipients from the OPTN/UNOS registry performed between 2000 and 2017. Inverse probability of treatment weighting (IPTW) was used to account for covariate imbalance between recipients from a donor with and without insulin requirements.

RESULTS

A total of 7765 (60%) patients received a pancreas from a donor with insulin before donation (IBD). Pancreas graft survival (death-censored) was similar between recipients from IBD and non-IBD donors at 1, 5 and 10 years (89% vs 89%, 78% vs 79 and 69% vs 70%, respectively, P = 0.35). Recipients from IBD donors presented a similar 90-days pancreas graft survival. After IPTW weighting, IBD donors were neither associated with any post-transplant surgical complication (HR 1.11 [95% CI 0.98-1.24], P = 0.06), nor with risk for recipient death (HR 0.94 [95% CI 0.85-1.04], P = 0.26), nor pancreas graft failure (HR 1.06 [95% CI 0.98-1.16], P = 0.15).

CONCLUSIONS

Insulin therapy before donation in accepted pancreas donors was not associated, per se, with an impaired pancreas graft and patient survival.

Pharmacokinetic and pharmacodynamic bioequivalence between regular human insulin (rDNA origin) in 0.9% sodium chloride ready-to-use infusion 1 U/mL and 100 U/mL concentrate diluted to 1 U/mL in healthy males

AIM

To show pharmacokinetic (PK) and pharmacodynamic (PD) bioequivalence between Myxredlin, a novel, ready-to-use regular human insulin 1 U/mL formulation (BAX-HI), and Novolin R 100 U/mL concentrate diluted to 1 U/mL (NOVO-HI).

MATERIALS AND METHODS

This phase 1, double-blind, randomized, two-way crossover study compared the PK and PD properties of BAX-HI and NOVO-HI. A total of 58 healthy males received 0.36 U/kg of each study drug, administered intravenously over a 6-hour period, concurrent with an 8-hour euglycaemic clamp at two treatment periods separated by a washout period of 7-10 days. The primary PK endpoint was the area under the insulin concentration-time curve at steady state (SS) measured from 300 to 360 minutes (AUC_{INS-SS 300-360 min} ). The primary PD endpoint was the area under the glucose infusion rate-time curve at SS measured from 300 to 360 minutes (AUC_{GIR-SS 300-360 min} ).

RESULTS

All subjects completed the first treatment period and 54 subjects completed both treatment periods. Bioequivalence between BAX-HI and NOVO-HI was shown for the primary endpoints as the 90% confidence interval (CI) of the geometric least-squares (LS) mean ratio for AUC_{INS-SS 300-360 min} , and the 90% CI and 95% CI of the geometric LS mean ratio for AUC_{GIR-SS 300-360 min} were entirely contained within the prespecified limits of 80%-125%. Safety profiles were comparable for both study drugs and there were no serious adverse events.

CONCLUSIONS

The study showed bioequivalence between BAX-HI and NOVO-HI in terms of PK and PD characteristics in healthy males.

A practical guidance on the use of intravenous insulin infusion for management of inpatient hyperglycemia: Intravenous Insulin Infusion for Management of Inpatient Hyperglycemia

BACKGROUND

We aim to provide a practical guidance on the use of intravenous insulin infusion for managing inpatient hyperglycemia.

METHODS AND RESULTS

This document was formulated based on the review of available literature and personal experience of authors. We have used various case scenarios to illustrate variables which should be taken into account when deciding adjustments in infusion rate, including but not restricted to ambient blood glucose level and magnitude of blood glucose change in the previous hour.

CONCLUSION

The guidance can be generalized to any situation where dedicated protocols are lacking, trained manpower is not available and resource constraints are present.

Medical software applications for in-hospital insulin therapy: A systematic review

Background

In-hospital hyperglycemia (HH) is frequent and related to higher morbidity and mortality. Despite the benefits of HH treatment, glycemic control is often poor and neglected. The use of health applications to support diagnosis and therapy is now incorporated into medical practice. Medical applications for inpatient glycemic management have potential to standardize this handling by the nonspecialist physician. However, related studies are scarce. We aim to evaluate the efficacy in inpatient glycemic control parameters of medical software applications in non-critical care settings.

Methods

This systematic review on in-hospital insulin applications was performed according to PRISMA guidelines. Data were extracted in triplicate and methodological quality was verified. Specific outcomes of interest were glycemic control efficacy, hypoglycemia risk, length of in-hospital stay, integration with the electronic medical record and healthcare staff acceptance.

Results

Among the 573 articles initially identified and subsequent revision of the references of each one, seven studies involving six applications were eligible for the review. A better glycemic control was reported with the use of most in-hospital insulin applications in the studies evaluated, but there was no mention of the time to reach the glycemic goal. The risk of hypoglycemia was low. Different reasons influenced the varied acceptance of the use of applications among health professionals.

Conclusion

The six applications of inpatient insulin therapy in a non-critical care environment proved to be useful and safe compared to the usual management. Medical apps are tools that can help improve the quality of patient care.

Etiology and prognosis for dogs with abnormal blood glucose concentrations evaluated in an emergency room

OBJECTIVE

To determine the prevalence of glucose abnormalities in nondiabetic dogs presenting to a veterinary emergency room (ER) and their association with underlying disease processes, previous glucocorticoid administration, and overall mortality.

DESIGN

Single-center, retrospective study from January 2013 to December 2014.

SETTING

University Teaching Hospital.

ANIMALS

A total of 660 dogs presenting to an ER with a blood glucose concentration measured within 6 hours of presentation.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Medical records from dogs with a blood glucose concentration measured within 6 hours of hospital admission were reviewed. Medications administered prior to blood sampling, the presence of shock, final clinical diagnosis, and survival were recorded. Hypoglycemia and hyperglycemia were defined as a blood glucose <4.4 mmol/L (80 mg/dL) and >6.7 mmol/L (120 mg/dL), respectively. Diabetic patients were removed from analysis. Hyperglycemia was found in 40.1% of dogs, whereas hypoglycemia was present in 9.0%. Hyperglycemia was most often associated with gastrointestinal disease, trauma, neoplasia, and respiratory disease. The most common diseases associated with hypoglycemia were sepsis, gastrointestinal disease, and neoplasia. Dogs in shock or with hyperlactatemia had higher blood glucose values than dogs with normal perfusion and plasma lactate concentrations (P = 0.016 and P < 0.0001, respectively). Mortality was higher in dogs with hyperglycemia (33.2%, P = 0.03) or hypoglycemia (44.6%, P = 0.0024) compared to those with normoglycemia (24.9%).

CONCLUSION

Dysglycemia in nondiabetic dogs evaluated in an ER was associated with a higher mortality rate than dogs in the same population with normoglycemia. Hyperglycemia in this population was common and may represent a stress response.

Basal-Bolus Insulin Regimen for Hospitalised Patients with COVID-19 and Diabetes Mellitus: A Practical Approach

BACKGROUND AND AIM

The coronavirus disease 2019 (COVID-19) outbreak has rapidly crossed international boundaries and placed increasing demands on healthcare facilities worldwide. Patients with diabetes and uncontrolled blood glucose levels are at increased risk for poor clinical outcomes and in-hospital mortality related to COVID-19. Therefore, achieving good glycaemic control is of paramount importance among hospitalised patients with COVID-19. Basal-bolus insulin therapy is a safe and effective intervention for the management of hyperglycaemia in hospitalised patients. The aim of this article is to provide a practical guidance for the use of the basal-bolus insulin regimen in hospitalised patients with COVID-19 and diabetes mellitus.

METHODS

This guidance document was formulated based on the review of available literature and the combined personal experiences of the authors. We provide a comprehensive review on the use of the basal-bolus insulin regimen, including its principles, rationale, indications, prerequisites, initiation, and dose titration, and also suggest targets for blood glucose control and different levels of capillary blood glucose monitoring. Various case scenarios are used to illustrate how optimal glucose control can be achieved, such as through adjustments in doses of prandial and basal insulin, the use of correctional insulin dosing and changes in the timing and content of major and minor meals.

CONCLUSION

The practical guidance for the use of the basal-bolus insulin regimen in hospitalised patients with COVID-19 and diabetes mellitus presented here can be used for patients admitted to hospital for indications other than COVID-19 and for those in ambulatory care.

Management of Inpatient Hyperglycemia and Diabetes in Older Adults

Diabetes is one of the world's fastest growing health challenges. Insulin therapy remains a useful regimen for many elderly patients, such as those with moderate to severe hyperglycemia, type 1 diabetes, hyperglycemic emergencies, and those who fail to maintain glucose control on non-insulin agents alone. Recent clinical trials have shown that several non-insulin agents as monotherapy, or in combination with low doses of basal insulin, have comparable efficacy and potential safety advantages to complex insulin therapy regimens. Determining the most appropriate diabetes management plan for older hospitalized patients requires consideration of many factors to prevent poor outcomes related to dysglycemia.

Challenges and Strategies for Inpatient Diabetes Management in Older Adults

Adults older than 65 years of age are the fastest growing segment of the U.S. population. Aging is also one of the most important risk factors for diabetes, and about one-third of all individuals with diabetes are in this age-group. Older people with diabetes are more likely to have comorbidities such as hypertension, ischemic heart disease, chronic kidney disease, and cognitive impairment, which lead to higher rates of hospital admissions compared with individuals without diabetes. Professional organizations have recommended patient-centric individualized glycemic reduction approaches, with an emphasis on potential harms of intensive glycemic control and overtreatment in older adults. Insulin therapy remains a mainstay of diabetes management in the inpatient setting regardless of patients' age; however, there is uncertainty about optimal glycemic targets during the hospital stay. Increasing evidence supports selective use of dipeptidyl peptidase-4 inhibitors, alone or in combination with low-dose basal insulin, in older noncritically ill patients with mild to moderate hyperglycemia. This article reviews the prevalence, diagnosis, and monitoring of, and the available treatment strategies for, diabetes among elderly patients in the inpatient setting.

The Impact of obesity and diabetes mellitus on pancreatic cancer: Molecular mechanisms and clinical perspectives

The incidence of obesity and type 2 diabetes (T2DM) in the Western world has increased dramatically during the recent decades. According to the American Cancer Society, pancreatic cancer (PC) is the fourth leading cause of cancer‐related death in the United States. The relationship among obesity, T2DM and PC is complex. Due to increase in obesity, diabetes, alcohol consumption and sedentary lifestyle, the mortality due to PC is expected to rise significantly by year 2040. The underlying mechanisms by which diabetes and obesity contribute to pancreatic tumorigenesis are not well understood. Furthermore, metabolism and microenvironment within the pancreas can also modulate pancreatic carcinogenesis. The risk of PC on a population level may be reduced by modifiable lifestyle risk factors. In this review, the interactions of diabetes and obesity to PC development were summarized, and novel strategies for the prevention and treatment of diabetes and PC were discussed.

Intravenous insulin therapy in diabetes mellitus with hyperglycemic crisis and intercurrent illness

Background Hyperglycemic crisis is one of the complications of diabetes mellitus, which is common in hospitalized diabetic patient with intercurrent illness, requiring immediate action to control blood glucose. As an effort to attain rapid, gradually and more definite blood glucose, insulin is given intravenously. This study aimed to explore the patterns of blood glucose in hyperglycemic crisis and intercurrent illness, precipitating conditions, insulin regimen and blood glucose (BG) level results. Methods It was a cross-sectional study conducted on type 2 diabetic patients. The inclusion criteria were as follows: hospitalized in the general/internal medicine ward with or without any complication or comorbidity receiving intravenous insulin therapy; have pre- and post-BG data after insulin intervention. Results In 3 months of the study period, 22 patients fulfilled the inclusion criteria with 28 cases of intravenous insulin therapy, and 1 patient could get more than one intervention. The major condition toward a hyperglycemic crisis condition was infection. The patient's BG before interventions was 243 mg/dL to more than 600 mg/dL. The dosage of insulin varied from 4 to 10 units per hour, intravenously with a frequency of 1-4 times. The dosage consideration was not only based on BG levels but also on the patient's condition. The reduction in BG level varied greatly between 0.2 and 28.1 mg/dL per unit of insulin. The BG level of three patients did not decrease. On the other hand, one patient experienced mild hypoglycemia. Conclusions Infection conditions were the most common factor for the hyperglycemia crisis. Moreover, intravenous insulin dosing was done individually, and there was a large variation in the results of the decrease in BG levels.

Capacity and confidence building for general practitioners on optimum insulin use

Type 2 diabetes is characterised by a progressive decline in insulin secretion, and sooner or later patients require insulin therapy. However, physicians are reluctant to initiate insulin therapy because of perceived inadequacy in managing insulin therapy, cost and lack of benefits. Experts from across the country met at a workshop during 12th National Insulin Summit which was held in September at Hyderabad and came up with key recommendations to build capacity and confidence in general practitioners for insulin usage. Barriers can be overcome through self-education and training; effective patient education; imparting coping skill training to patients; and bridging gaps to improve adherence. Moreover, optimum insulinization requires knowledge about the available options for initiation and intensification of insulin therapy; various insulin regimens; dosing and titration; and choosing effective and simple insulin therapy as per patient characteristics. Hence, the objective of this review article is to help build capacity and confidence among general practitioners on optimising insulin therapy.

Inpatient Management of T2DM and Hyperglycemia in Older Adults

PURPOSE OF REVIEW

This review aims to provide a summary of the evaluation and treatment of older adults (≥ 65 years) with type 2 diabetes and/or hyperglycemia in the hospital.

RECENT FINDINGS

Caring for these older adults requires special considerations. Diabetes is a risk factor for hospitalization and hyperglycemia in the hospital is associated with increased complications and mortality. Treatment plans for hospitalized older adults with diabetes should include a comprehensive geriatric assessment. This team-based approach aims to develop an individualized care plan, with consideration of the patients' personal goals, comorbidities, functional status, life expectancy, and hypoglycemia risk. Studies from hospitalized middle age and older adults with hyperglycemia can help guide diabetes treatment goals and management in older adults. Further studies, examining both glucose targets and care management assessments and treatment plan specifically targeting older adults in the hospital setting, are needed.

Hypoglycemia and hyperglycemia are risk factors for falls in the hospital population

OBJECTIVE

To determine the role of hypoglycemia, hyperglycemia or the combination of both as independent risk factors for falls in a hospital population. Secondary objectives included evaluation of other risk factors for falling and their relationships with glucose levels.

RESEARCH DESIGN AND METHODS

Retrospective cohort study over 2 years on hospitalized subjects (N = 57411) analyzing in-hospital-falls and capillary glucose values. Bivariate analysis (χ² test) and multivariate analysis (logistic regression) were performed to test for correlation of glucose values, age, sex, Charlson index, service of care, diagnosis at discharge and diabetes treatment with risk of in-hospital-falls.

RESULTS

The comparison of patients who experienced a fall (fall population) with the non-fall population suggested that: glucose determinations were significantly more frequent in the fall population (OR 3.45; CI 2.98-3.99; p < 0.0001); values of glucose below 70 mg/dl and over 200 mg/dl were significantly associated to falls during hospitalization (OR 1.76; CI 1.42-2.19; p < 0.001) as compared to glycemic values between 70 and 200 mg/dl; diabetes treatment was significantly correlated to risk of fall (OR 2.97; CI 2.54-3.49; p < 0.001); the frequency of glycemia measurements below 70 mg/dl and over 200 mg/dl in the same subject was significantly associated to falls during hospitalization (OR 1.01; CI 1.01-1.02; p < 0.001).

CONCLUSION

Hypoglycemia and hyperglycemia during hospital stays are correlated with an increased risk for falls in the hospitalized population. Presence of diabetes, use of insulin or glucose variability could potentially constitute risk factors for falls inside the hospital as well.

Treatment of Diabetes in Older Adults: An Endocrine Society* Clinical Practice Guideline

OBJECTIVE

The objective is to formulate clinical practice guidelines for the treatment of diabetes in older adults.

CONCLUSIONS

Diabetes, particularly type 2, is becoming more prevalent in the general population, especially in individuals over the age of 65 years. The underlying pathophysiology of the disease in these patients is exacerbated by the direct effects of aging on metabolic regulation. Similarly, aging effects interact with diabetes to accelerate the progression of many common diabetes complications. Each section in this guideline covers all aspects of the etiology and available evidence, primarily from controlled trials, on therapeutic options and outcomes in this population. The goal is to give guidance to practicing health care providers that will benefit patients with diabetes (both type 1 and type 2), paying particular attention to avoiding unnecessary and/or harmful adverse effects.

Prognostic Significance of Blood Glucose Levels and Alterations Among Patients with Aluminium Phosphide Poisoning

Objectives

This study aimed to assess the prognostic significance of blood glucose levels and blood glucose alterations (i.e. hyper- or hypoglycaemia) among patients with aluminium phosphide (AlP) poisoning.

Methods

This prospective observational study was conducted at the Postgraduate Institute of Medical Education & Research, Chandigarh, India, between January 2010 and June 2011. All patients presenting to the emergency department with a definitive history of AlP ingestion or symptoms compatible with AlP poisoning were included in the study. Blood glucose levels were recorded at presentation and every six hours thereafter. Alterations in blood glucose levels and other clinical and laboratory variables were subsequently compared between survivors and non-survivors.

Results

A total of 116 patients with AlP poisoning were identified. Of these, 57 patients (49%) survived and 59 patients (51%) died. At presentation, the mean blood glucose levels of survivors and non-survivors were 119.9 ± 35.7 mg/dL and 159.7 ± 92.5 mg/dL, respectively (P <0.001). In comparison to the survivors, non-survivors had significantly higher heart rates, total leukocyte counts, blood glucose level alterations and serum creatinine levels (P <0.050). In addition, systolic blood pressure, Glasgow coma scale scores, arterial blood gas pH and bicarbonate values and duration of hospital stay was significantly lower compared to survivors (P <0.001). However, neither blood glucose levels at admission nor blood glucose alterations correlated independently with mortality in a multivariate analysis.

Conclusion

The role of blood glucose level alterations in predicting patient outcomes in AlP poisoning cases remains inconclusive. Further studies with larger sample sizes are required.

Progress in clinical research complicated infection with diabetes mellitus

Patients with diabetes are prone to concurrent infection. The mechanism of concurrent infection is related to factors such as hyperglycemia and weakened defense function. The infections of patients with diabetes include general and special infections. General infection includes infections in the respiratory system, urinary system, hepatobiliary system, and skin mucosa. Meanwhile, special infection includes invasive otitis externa, nasal mucormycosis, necrotizing fasciitis, and emphysema infection. Patients with special infections also have a higher mortality rate than those with general ones. Complicated infection with diabetes is difficult to treat and has poor prognosis. Therefore, a patient requires active treatment once infected with this infection.

Designing the Glucose Telemetry for Hospital Management: From Bedside to the Nursing Station

PURPOSE OF THE REVIEW

Hospitalized patients with diabetes are monitored with point-of-care glucose testing. Continuous glucose monitoring (CGM) devices represent an alternative way to monitor glucose values; however, the in-hospital CGM use is still considered experimental. Most inpatient studies used "blinded" CGM properties and only few used the real-time/unblinded CGM features. One major limitation of the CGM devices is that they need to be placed at the patients' bedside, limiting any therapeutic interventions. In this article, we review the real-time/unblinded CGM use and share our thoughts about the development of future inpatient CGM systems.

RECENT FINDINGS

We recently reported that glucose values can be wirelessly transmitted to the nursing station, providing remote continuous glucose monitoring. Future inpatient CGM devices may be utilized for patients at risk for hypoglycemia similarly to the way that we use cardiac telemetry to monitor hospitalized patients who are at increased risk for cardiac arrhythmias.

Indicator performance after the implementation of the Spanish Consensus Document for the control of hyperglycemia in the hospital and at discharge

BACKGROUND AND AIMS

Information for the adequate management of diabetic patients at hospital discharge is limited. We aimed to evaluate the impact of implementation of recommendations of the Spanish consensus for the management hospital discharge in patients with type 2 diabetes or hyperglycaemia during hospitalization.

METHODS

Observational multicentric study with a prospective and a retrospective colection of patients with type 2 diabetes /hyperglycaemia (>140mg/dl) during hospitalization from 19 Spanish hospitals. Quality indicators in discharge report, antidiabetic therapy, HbA_1c and adverse events were gathered at hospital admission, hospital discharge and 3 month post-discharge.

RESULTS

199 and 75 subjects in the prospective and retrospective group respectively were included. The indicators of quality in the hospital discharge reports was higher in the prospective group (P<.001). The proportion of patients with insulin, oral antidiabetic drugs (OADs), and insulin+OADs was modified at discharge in patients with HbA_1c<7.5% (P<.005) and ≥7.5% (P<.001) in the prospective group and in patients with HbA 1c ≥7.5% (P<.001) in the retrospective group. At 3 month post-discharge HbA_1c levels decreased from 8.2±1.9% to 7.3±1.2% (P<.001) in the prospective group, and from 8.3±1.5% to 7.2±1.2% (P<.001) in the retrospective group. Hypoglycaemic and hyperglycaemic episodes and hospital readmissions were similar in both groups.

CONCLUSIONS

Implementation of Spanish consensus recommendations for the management of hospital discharge in patients with diabetes type 2 or hyperglycaemia considerably improved the registration of quality indicators in the discharge report. Reconciliation of antidiabetic medication at the time of hospital discharge, improves glycaemic control after hospital discharge.

Manejo de pacientes diabéticos hospitalizados

La diabetes es una enfermedad con importante prevalencia en todo el mundo. Se calcula que cerca de 415 millones de personas la padecen en la actualidad y que para el año 2040 esta cifra aumentará poco más del 50%. Debido a esto, se estima que gran parte de los ingresos por urgencias serán de pacientes diabéticos o sujetos a los cuales esta patología se les diagnosticará en dicha hospitalización; esta situación hace necesario conocer los lineamientos y las recomendaciones de las guías para el manejo intrahospitalario de los pacientes con hiperglucemia.El pilar fundamental del manejo hospitalario de diabetes es la monitorización intensiva, junto con la educación al paciente y la administración de insulina. El control glicémico es clave debido a que disminuye complicaciones intrahospitalarias. Cabe resaltar que el control estricto puede llevar a hipoglucemias, por lo que los episodios deben ser debidamente documentados y su causa corregida de inmediato.

Perioperative Management of Hyperglycemia and Diabetes in Cardiac Surgery Patients

Perioperative hyperglycemia is common after cardiac surgery, reported in 60% to 90% of patients with diabetes and in approximately 60% of patients without history of diabetes. Many observational and prospective randomized trials in critically-ill cardiac surgery patients support a strong association between hyperglycemia and poor clinical outcome. Despite ongoing debate about the optimal glucose target, there is strong agreement that improved glycemic control reduces perioperative complications.

Transitioning from intravenous to subcutaneous insulin in the medical intensive care unit

BACKGROUND

There is a paucity of studies on transitions from IV insulin infusion (IVII) to subcutaneous (SC) insulin in the medical ICU (MICU).

METHODS

We conducted a retrospective study of patients admitted to the Cleveland Clinic MICU from June 2013 to January 2014 who received IVII. We compared blood glucose (BG) control between 3 cohorts based on timing of basal insulin dose: (1) NB (no basal), (2) IB (incorrect basal), (3) CB (correct basal) at 5 time points post-IVII discontinuation (1, 4, 8, 12, and 24h). Insulin doses used for transitioning were compared with 80% of estimated 24h IVII total. Analysis was done using chi-square, ANOVA and t-tests.

RESULTS

There were 269 patients (NB 166, IB 45, CB 58), 55% male with a mean age 58±16years. 103 patients (38%) had a transition attempted (IB 21%, CB 17%). The NB cohort had better BG than the IB cohort at all time points (p<0.001) but also lower HbA1c, prior DM diagnosis and home insulin use (p<0.001). IB and CB did not have significantly different BG with mean BG>180mg/dL at 4/5 time intervals. However, the dose of basal insulin used was less than 80% of estimated 24h IVII total (IB 21.4 vs 49.6U, CB 25vs 57.1U). Despite this, 15% of patients in the IB cohort and 24% of patients in the CB had hypoglycemic events.

CONCLUSION

The low rates of IV to SC insulin transitions raises the question of challenges to transitions.

Management of Type 1 Diabetes in the Hospital Setting

PURPOSE OF REVIEW

The purpose of this article was to review recent guideline recommendations on glycemic target, glucose monitoring, and therapeutic strategies, while providing practical recommendations for the management of medical and surgical patients with type 1 diabetes (T1D) admitted to critical and non-critical care settings.

RECENT FINDINGS

Studies evaluating safety and efficacy of insulin pump therapy, continuous glucose monitoring, electronic glucose management systems, and closed loop systems for the inpatient management of hyperglycemia are described. Due to the increased prevalence and life expectancy of patients with type 1 diabetes, a growing number of these patients require hospitalization every year. Inpatient diabetes management is complex and is best provided by a multidisciplinary diabetes team. In the absence of such resource, providers and health care staff must become familiar with the features of this condition to avoid complications such as severe hyperglycemia, ketoacidosis, hypoglycemia, or glycemic variability. We reviewed most recent guidelines and relevant literature in the topic to provide practical recommendations for the inpatient management of patients with T1D.

Management of Inpatient Hyperglycemia and Diabetes in Older Adults

Adults aged 65 years and older are the fastest growing segment of the U.S. population, and their number is expected to double to 89 million between 2010 and 2050. The prevalence of diabetes in hospitalized adults aged 65-75 years and over 80 years of age has been estimated to be 20% and 40%, respectively. Similar to general populations, the presence of hyperglycemia and diabetes in elderly patients is associated with increased risk of hospital complications, longer length of stay, and increased mortality compared with subjects with normoglycemia. Clinical guidelines recommend target blood glucose between 140 and 180 mg/dL (7.8 and 10 mmol/L) for most patients in the intensive care unit (ICU). A similar blood glucose target is recommended for patients in non-ICU settings; however, glycemic targets should be individualized in older adults on the basis of a patient's clinical status, risk of hypoglycemia, and presence of diabetes complications. Insulin is the preferred agent to manage hyperglycemia and diabetes in the hospital. Continuous insulin infusion in the ICU and rational use of basal-bolus or basal plus supplement regimens in non-ICU settings are effective in achieving glycemic goals. Noninsulin regimens with the use of dipeptidyl peptidase 4 inhibitors alone or in combination with basal insulin have been shown to be safe and effective and may represent an alternative to basal-bolus regimens in elderly patients. Smooth transition of care to the outpatient setting is facilitated by providing oral and written instructions regarding timing and dosing of insulin as well as education in basic skills for home management.

Update on Glucose Management Among Noncritically Ill Patients Hospitalized on Medical and Surgical Wards

Hyperglycemia is a common issue affecting inpatient care. Although this is in part because of the higher rate of hospitalization among patients with preexisting diabetes, multiple factors complicate inpatient glucose management, including acute stress from illness or surgery, erratic dietary intake, and contribution of medications. It has been repeatedly demonstrated that poorly controlled blood glucose levels are associated with negative clinical outcomes, such as increased mortality, higher rate of surgical complications, and longer length of hospital stay. Given these concerns, there has been extensive study of the optimal strategy for management of glucose levels, with the bulk of existing literature focusing on insulin therapy in the intensive care unit setting. This review shifts the focus to the general adult medical and surgical wards, using clinical guidelines and sentinel studies to describe the scientific basis behind the current basal-bolus insulin-based approach to blood sugar management among noncritically ill inpatients. Patient-centered clinical trials looking at alternative dosing regimens and insulin analog and noninsulin agents, such as glucagon-like peptide-1 agonist therapies, introduce safe and effective options in the management of inpatient hyperglycemia. Data from these studies reveal that these approaches are of comparable safety and efficacy to the traditional basal-bolus insulin regimen, and may offer additional benefit in terms of less monitoring requirements and lower rates of hypoglycemia. Although existing data are encouraging, outcome studies will be needed to better establish the clinical impact of these more recently proposed approaches in an effort to broaden and improve current clinical practices in inpatient diabetes care.

Inflammation and Oxidative Stress in Cardiac Surgery Patients Treated to Intensive Versus Conservative Glucose Targets

OBJECTIVE

We aimed to determine (a) longitudinal changes of inflammatory and oxidative stress markers and (b) the association between markers of inflammation and perioperative complications in coronary artery bypass surgery (CABG) patients treated with intensive vs conservative blood glucose (BG) control.

METHODS

Patients with diabetes (n = 152) and without diabetes with hyperglycemia (n = 150) were randomized to intensive (n = 151; BG: 100-140 mg/dL) or to conservative (n = 151; BG: 141-180 mg/dL) glycemic targets. Plasma cortisol, high-sensitivity C-reactive protein (hsCRP), tumor necrosis factor-α, interleukin-6 (IL-6), thiobarbituric acid-reactive substances, and 2'-7'-dichlorofluorescein were measured prior to and at days 3, 5, and 30 after surgery.

RESULTS

Intensive glycemic control resulted in lower mean BG (132 ± 14 mg/dL vs 154 ± 17 mg/dL, P < 0.001) in the intensive care unit. Plasma cortisol and inflammatory markers increased significantly from baseline after the third and fifth day of surgery (P < 0.001), and returned to baseline levels at 1 month of follow-up. Patients with perioperative complications had higher levels of cortisol, hsCRP, IL-6, and oxidative stress markers compared with those without complications. There were no significant differences in inflammatory and oxidative stress markers between patients, with or without diabetes or complications, treated with intensive or conventional glucose targets.

CONCLUSION

We report no significant differences in circulating markers of acute inflammatory and oxidative stress response in cardiac surgery patients, with or without diabetes, treated with intensive (100-140 mg/dL) or conservative (141-180 mg/dL) insulin regimens.

A Mobile Computerized Decision Support System to Prevent Hypoglycemia in Hospitalized Patients With Type 2 Diabetes Mellitus

BACKGROUND

Diabetes management requires complex and interdisciplinary cooperation of health care professionals (HCPs). To support this complex process, IT-support is recommended by clinical guidelines. The aim of this article is to report on results from a clinical feasibility study testing the prototype of a mobile, tablet-based client-server system for computerized decision and workflow support (GlucoTab®) and to discuss its impact on hypoglycemia prevention.

METHODS

The system was tested in a monocentric, open, noncontrolled intervention study in 30 patients with type 2 diabetes mellitus (T2DM). The system supports HCPs in performing a basal-bolus insulin therapy. Diabetes therapy, adverse events, software errors and user feedback were documented. Safety, efficacy and user acceptance of the system were investigated.

RESULTS

Only 1.3% of blood glucose (BG) measurements were <70 mg/dl and only 2.6% were >300 mg/dl. The availability of the system (97.3%) and the rate of treatment activities documented with the system (>93.5%) were high. Only few suggestions from the system were overruled by the users (>95.7% adherence). Evaluation of the 3 anonymous questionnaires showed that confidence in the system increased over time. The majority of users believed that treatment errors could be prevented by using this system.

CONCLUSIONS

Data from our feasibility study show a significant reduction of hypoglycemia by implementing a computerized system for workflow and decision support for diabetes management, compared to a paper-based process. The system was well accepted by HCPs, which is shown in the user acceptance analysis and that users adhered to the insulin dose suggestions made by the system.

Inpatient Diabetes Management in the Twenty-First Century

In hospitalized patients, both hyperglycemia and hypoglycemia have been associated with poor outcomes. During the inpatient period, hyperglycemia has been associated with increased risk of infection, cardiovascular events, and mortality. It is also associated with longer length of hospital stay. Hypoglycemia has also been associated with an increased risk of mortality. Therefore, current evidence supports avoidance of both conditions among hospitalized patients whether they are admitted to critical care units or noncritical care units.

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 = admission BG = blood glucose BGM = blood glucose measurements BMC = Boston Medical Center BMI = body mass index EMR = electronic medical record HgbA1c = hemoglobin A1c IRR = incidence rate ratio NPH = neutral protamine Hagedorn TDD = total daily dose T2D = type 2 diabetes.

Decreased rates of hypoglycemia following implementation of a comprehensive computerized insulin order set and titration algorithm in the inpatient setting

OBJECTIVES

More than one-third of hospitalized patients have hyperglycemia. Despite evidence that improving glycemic control leads to better outcomes, achieving recognized targets remains a challenge. The objective of this study was to evaluate the implementation of a computerized insulin order set and titration algorithm on rates of hypoglycemia and overall inpatient glycemic control.

METHODS

A prospective observational study evaluating the impact of a glycemic order set and titration algorithm in an academic medical center in non-critical care medical and surgical inpatients. The initial intervention was hospital-wide implementation of a comprehensive insulin order set. The secondary intervention was initiation of an insulin titration algorithm in two pilot medicine inpatient units. Point of care testing blood glucose reports were analyzed. These reports included rates of hypoglycemia (BG < 70 mg/dL) and hyperglycemia (BG >200 mg/dL in phase 1, BG > 180 mg/dL in phase 2).

RESULTS

In the first phase of the study, implementation of the insulin order set was associated with decreased rates of hypoglycemia (1.92% vs 1.61%; p < 0.001) and increased rates of hyperglycemia (24.02% vs 27.27%; p < 0.001) from 2010 to 2011. In the second phase, addition of a titration algorithm was associated with decreased rates of hypoglycemia (2.57% vs 1.82%; p = 0.039) and increased rates of hyperglycemia (31.76% vs 41.33%; p < 0.001) from 2012 to 2013.

CONCLUSIONS

A comprehensive computerized insulin order set and titration algorithm significantly decreased rates of hypoglycemia. This significant reduction in hypoglycemia was associated with increased rates of hyperglycemia. Hardwiring the algorithm into the electronic medical record may foster adoption.

IMPACT OF GLUCOSE MANAGEMENT TEAM ON OUTCOMES OF HOSPITALIZARON IN PATIENTS WITH TYPE 2 DIABETES ADMITTED TO THE MEDICAL SERVICE

OBJECTIVE

To improve glycemic control of hospitalized patients with diabetes and hyperglycemia, many medical centers have established dedicated glucose management teams (GMTs). However, the impact of these specialized teams on clinical outcomes has not been evaluated.

METHODS

We conducted a retrospective study of 440 patients with type 2 diabetes admitted to the medical service for cardiac or infection-related diagnosis. The primary endpoint was a composite outcome of several well-recognized markers of morbidity, consisting of: death during hospitalization, transfer to intensive care unit, initiation of enteral or parenteral nutrition, line infection, new in-hospital infection or infection lasting more than 20 days of hospitalization, deep venous thrombosis or pulmonary embolism, rise in plasma creatinine, and hospital re-admissions.

RESULTS

Medical housestaff managed the glycemia in 79% of patients (usual care group), while the GMT managed the glycemia in 21% of patients (GMT group). The primary outcome was similar between cohorts (0.95 events per patient versus 0.99 events per patient in the GMT and usual care cohorts, respectively). For subanalysis, the subjects in both groups were stratified into those with average glycemia of <180 mg/dL versus those with glycemia >180 mg/dL. We found a significant beneficial impact of glycemic management by the GMT on the composite outcome in patients with average glycemia >180 mg/dL during their hospital stay. The number of patients who met primary outcome was significantly higher in the usual care group (40 of 83 patients, 48%) than in the GMT-treated cohort (8 of 33 patients, 25.7%) (P<.02).

CONCLUSION

Our data suggest that GMTs may have an important role in managing difficult-to-control hyperglycemia in the inpatient setting.

ABBREVIATIONS

BG = blood glucose GMT = glucose management team HbA1c = hemoglobin A1c ICU = intensive care unit POC = point of care T2D = type 2 diabetes.

The Emory University Perioperative Algorithm for the Management of Hyperglycemia and Diabetes in Non-cardiac Surgery Patients

Hyperglycemia is a frequent manifestation of critical and surgical illness, resulting from the acute metabolic and hormonal changes associated with the response to injury and stress (Umpierrez and Kitabchi, Curr Opin Endocrinol. 11:75-81, 2004; McCowen et al., Crit Care Clin. 17(1):107-24, 2001). The exact prevalence of hospital hyperglycemia is not known, but observational studies have reported a prevalence of hyperglycemia ranging from 32 to 60 % in community hospitals (Umpierrez et al., J Clin Endocrinol Metab. 87(3):978-82, 2002; Cook et al., J Hosp Med. 4(9):E7-14, 2009; Farrokhi et al., Best Pract Res Clin Endocrinol Metab. 25(5):813-24, 2011), and 80 % of patients after cardiac surgery (Schmeltz et al., Diabetes Care 30(4):823-8, 2007; van den Berghe et al., N Engl J Med. 345(19):1359-67, 2001). Retrospective and randomized controlled trials in surgical populations have reported that hyperglycemia and diabetes are associated with increased length of stay, hospital complications, resource utilization, and mortality (Frisch et al., Diabetes Care 33(8):1783-8, 2010; Kwon et al., Ann Surg. 257(1):8-14, 2013; Bower et al., Surgery 147(5):670-5, 2010; Noordzij et al., Eur J Endocrinol. 156(1):137-42, 2007; Mraovic et al., J Arthroplasty 25(1):64-70, 2010). Substantial evidence indicates that correction of hyperglycemia reduces complications in critically ill, as well as in general surgery patients (Umpierrez et al., J Clin Endocrinol Metab. 87(3):978-82, 2002; Clement et al., Diabetes Care 27(2):553-97, 2004; Pomposelli et al., JPEN J Parented Enteral Nutr. 22(2):77-81, 1998). This manuscript reviews the pathophysiology of stress hyperglycemia during anesthesia and the perioperative period. We provide a practical outline for the diagnosis and management of preoperative, intraoperative, and postoperative care of patients with diabetes and hyperglycemia.

Stress Hyperglycemia During Surgery and Anesthesia: Pathogenesis and Clinical Implications

Numerous studies have demonstrated an association between hyperglycemia in the perioperative period and adverse clinical outcomes. Many patients who experience hyperglycemia while hospitalized do not have a known history of diabetes and experience a transient phenomenon often described as "stress hyperglycemia" (SH). We discuss the epidemiology and pathogenesis of SH as well as evidence to date regarding predisposing factors and outcomes. Further research is needed to identify the long-term sequelae of SH as well as perioperative measures that may modulate glucose elevations and optimal treatment strategies.

Management of Hyperglycemia and Enteral Nutrition in the Hospitalized Patient

There has been increased attention on the importance of identifying and distinguishing the differences between stress-induced hyperglycemia (SH), newly diagnosed hyperglycemia (NDH), and hyperglycemia in persons with established diabetes mellitus (DM). Inpatient blood glucose control is now being recognized as not only a cost issue for hospitals but also a concern for patient safety and care. The reasons for the increased incidence of hyperglycemia in hospitalized patients include preexisting DM, undiagnosed DM or prediabetes, SH, and medication-induced hyperglycemia with resulting transient blood glucose variability. It is clear that identifying and documenting hyperglycemia in hospitalized patients with and without a previous diagnosis of DM and initiating prompt insulin treatment are important. Agreement on the optimum treatment goals for hyperglycemia remains quite controversial, and the benefits of intensive glucose management may be lost at the cost of hypoglycemia in intensive care unit patients. Nutrition support in the form of enteral nutrition (EN) increases the risk of hyperglycemia in both critical and non-critically ill hospitalized patients. Reasons for beginning a tube feeding are the same whether a person has NDH or DM. What differs is how to incorporate EN into the established insulin management protocols. The risk for hyperglycemia with the addition of EN is even higher in those without a previous diagnosis of DM. This review discusses the incidence of hyperglycemia, the pathogenesis of hyperglycemia, factors contributing to hyperglycemia in the hospitalized patient, glycemic management goals, current glycemic management recommendations, and considerations for EN formula selection, administration, and treatment.

Tides of change: improving glucometrics in a large multihospital health care system

BACKGROUND

This study explores the relationship between education for inpatient diabetes providers and the utilization of insulin order sets, inpatient glucometrics, and length of stay in a large health care system.

METHODS

The study included patients with and without the diagnosis of diabetes. An education campaign included provider-directed diabetes education administered via online learning modules and in-person presentations by trained individuals. Relationships among provider-attended diabetes education, order set usage, and inpatient glucometrics (hypo- and hyperglycemia) were analyzed, as well as length of stay.

RESULTS

Insulin use knowledge scores for all providers averaged 52%, and improved significantly to 93% (P < .001) by the end of the education intervention period. Likewise utilization of electronic basal-bolus order sets increased from a baseline of 20% for patients receiving insulin to 86% within 6 weeks (P < .01) of introduction of order sets. During the study, the incidence of hypoglycemia and hyperglycemia declined from 1.47% to 1.27% and from 23.21% to 17.80%, respectively. However, these improvements were not sustained beyond the completion of the education campaign.

CONCLUSIONS

Education of diabetes health care providers was provided in a large, multihospital system through the use of online learning modules. Adoption of standardized insulin order sets was associated with an improvement in glucometrics. This educational and quality initiative resulted in overall improvements in insulin knowledge, adherence to recommended order sets, inpatient glucometrics, and patient length of stay. These improvements were not sustained, reinforcing the need for repeated educational interventions for those involved in providing inpatient diabetes care.

Transitioning safely from intravenous to subcutaneous insulin

The transition from intravenous (IV) to subcutaneous (SQ) insulin in the hospitalized patient with diabetes or hyperglycemia is a key step in patient care. This review article suggests a stepwise approach to the transition in order to promote safety and euglycemia. Important components of the transition include evaluating the patient and clinical situation for appropriateness, recognizing factors that influence a safe transition, calculation of proper SQ insulin doses, and deciding the appropriate type of SQ insulin. This article addresses other clinical situations including the management of patients previously on insulin pumps and recommendations for patients requiring glucocorticoids and enteral tube feedings. The use of institutional and computerized protocols is discussed. Further research is needed regarding the transition management of subgroups of patients such as those with type 1 diabetes and end-stage renal disease.

Efficacy of a hyperglycemia treatment program in a Vascular Surgery Department supervised by Endocrinology

BACKGROUND

The aim of this study was to evaluate the strategy and efficacy of a hyperglycemia treatment program supervised by Endocrinology.

METHODS

All patients with type 2 diabetes hospitalized at the vascular surgery department over a 12 month period were retrospectively reviewed. Clinical characteristics and hyperglycemia treatment during hospitalization, at discharge and 2-6 month after discharge were collected. Glycemic control was assessed using capillary blood glucose profiles and HbA1c at admission and 2-6 months post-discharge.

RESULTS

A total of 140 hospitalizations of 123 patients were included. The protocol to choose the insulin regimen was applied in 96.4% of patients (22.8% correction dose, 23.6% basal-correction dose and 50% basal-bolus-correction dose [BBC]). Patients with BBC had higher HbA1c (7.7±1.5% vs. 6.7 ±0.8%; P<.001) and mean glycemia on the first day of hospitalization (184.4±59.2 vs. 140.5±31.4mg/dl; P<.001). Mean blood glucose was reduced to 162.1±41.8mg/dl in the middle and 160.8±43.3mg/dl in the last 24h of hospitalization in patients with BBC (P=.007), but did not change in the remaining patients. In 22.1% patients with treatment changes performed at discharge, HbA1c decreased from 8.2±1.6 to 6.8±1.6% at 2-6 months post-discharge (P=.019).

CONCLUSIONS

The hyperglycemia treatment protocol applied by an endocrinologist in the hospital, allows the identification of the appropriate therapy and the improvement of the glycemic control during hospitalization and discharge, supporting its efficacy in clinical practice.