External Validation of the Diabetes Early Re-Admission Risk Indicator (Derri™)

Objective: The Diabetes Early Re-admission Risk Indicator (DERRI™) was previously developed and internally validated as a tool to predict the risk of all-cause re-admission within 30 days of discharge (30-day re-admission) of hospitalized patients with diabetes. In this study, the predictive performance of the DERRI™ with and without additional predictors was assessed in an external sample.Methods: We conducted a retrospective cohort study of adult patients with diabetes discharged from two academic medical centers between January 1, 2000 and December 31, 2014. We applied the previously developed DERRI™, which includes admission laboratory results, sociodemographics, a diagnosis of certain comorbidities, and recent discharge information, and evaluated the effect of adding metabolic indicators on predictive performance using multivariable logistic regression. Total cholesterol and hemoglobin A1c (A1c) were selected based on clinical relevance and univariate association with 30-day re-admission.Results: Among 105,974 discharges, 19,032 (18.0%) were followed by 30-day re-admission for any cause. The DERRI™ had a C-statistic of 0.634 for 30-day re-admission. Total cholesterol was the lipid parameter most strongly associated with 30-day re-admission. The DERRI™ predictors A1c and total cholesterol were significantly associated with 30-day re-admission; however, their addition to the DERRI™ did not significantly change model performance (C-statistic, 0.643 [95% confidence interval, 0.638 to 0.647]; P = .92).Conclusion: Performance of the DERRI™ in this external cohort was modest but comparable to other re-admission prediction models. Addition of A1c and total cholesterol to the DERRI™ did not significantly improve performance. Although the DERRI™ may be useful to direct resources toward diabetes patients at higher risk, better prediction is needed.Abbreviations: A1c = hemoglobin A1c; CI = confidence interval; DERRI™ = Diabetes Early Re-admission Risk Indicator; GEE = generalized estimating equation; HDL-C = high-density-lipoprotein cholesterol; ICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification; LDL-C = low-density-lipoprotein cholesterol     

Validation and Comparison of Two 30-Day Re-Admission Prediction Models in Patients with Diabetes

Objective: The objective was to evaluate the 30-day re-admission predictive performance of the HOSPITAL score and Diabetes Early Re-admission Risk Indicator (DERRI™) in hospitalized diabetes patients.Methods: This was a case-control study in an academic, tertiary center in the United States. Adult hospitalized diabetes patients were randomly identified between January 1, 2014, and September 30, 2017. Patients were categorized into two groups: (1) re-admitted within 30 days, and (2) not re-admitted within 30 days. Predictive performance of the HOSPITAL and DERRI™ scores was evaluated by calculating receiver operating characteristics curves (c-statistic), Hosmer-Lemeshow goodness-of-fit tests, and Brier scores.Results: A total of 200 patients were included (100 re-admitted, 100 non–re-admitted). The HOSPITAL score had a c-statistic of 0.731 (95% confidence interval [CI], 0.661 to 0.800), Hosmer-Lemeshow test P = .211, and Brier score 0.212. The DERRI™ score had a c-statistic of 0.796 (95% CI, 0.734 to 0.857), Hosmer-Lemeshow test P = .114, and Brier score 0.212. The difference in receiver operating characteristic curves was not statistically significant between the two scores but showed a higher c-statistic with the DERRI™ score (P = .055).Conclusion: Both HOSPITAL and DERRI™ scores showed good predictive performance in 30-day re-admission of adult hospitalized diabetes patients. There was no significant difference in discrimination and calibration between the scores.Abbreviations: CI = confidence interval; DERRI™ = Diabetes Early Re-admission Risk Indicator; IQR = interquartile range     

Patient Understanding of Discharge Instructions for Home Diabetes Self-Management and Risk for Hospital Readmission and Emergency Department Visits

ObjectiveThe primary objective of this study was to examine the patient comprehension of diabetes self-management instructions provided at hospital discharge as an associated risk of readmission.MethodsNoncritically ill patients with diabetes completed patient comprehension questionnaires (PCQ) within 48 hours of discharge. PCQ scores were compared among patients with and without readmission or emergency department (ED) visits at 30 and 90 days. Glycemic measures 48 hours preceding discharge were investigated. Diabetes Early Readmission Risk Indicators (DERRIs) were calculated for each patient.ResultsOf 128 patients who completed the PCQ, scores were similar among those with 30-day (n = 31) and 90-day (n = 54) readmission compared with no readmission (n = 72) (79.9 ± 14.4 vs 80.4 ± 15.6 vs 82.3 ± 16.4, respectively) or ED visits. Clarification of discharge information was provided for 47 patients. PCQ scores of 100% were achieved in 14% of those with and 86% without readmission at 30 days (P = .108). Of predischarge glycemic measures, glycemic variability was negatively associated with PCQ scores (P = .035). DERRIs were significantly higher among patients readmitted at 90 days but not 30 days.ConclusionThese results demonstrate similar PCQ scores between patients with and those without readmission or ED visits despite the need for corrective information in many patients. Measures of glycemic variability were associated with PCQ scores but not readmission risk. This study validates DERRI as a predictor for readmission at 90 days.     

Treatment of Diabetic Ketoacidosis and the Weekend Effect at an Urban Tertiary-Care Center

Objective: Weekend admission has been associated with higher morbidity and mortality, but the relationship between diabetic ketoacidosis (DKA) outcomes and this weekend effect is unclear. To better characterize it, we examined the outcomes of patients admitted with DKA to an urban tertiary-care center.Methods: This retrospective study included pediatric and adult patients admitted to Montefiore Health System from January 1, 2008, through December 31, 2018, with a primary or secondary diagnosis of DKA as identified by International Classification of Diseases (ICD)-9 and -10 codes; all ICD diagnoses were present on admission. Only the first admission for each patient was analyzed, and patients were excluded if their initial anion gap was less than 13 mEq/L. A subcohort comprised of patients with documented biochemical evidence of DKA resolution was also analyzed. The Friday-Saturday weekend was defined as the period between midnight on Friday and midnight on Sunday; the Saturday-Sunday weekend was similarly defined. The following outcomes were compared between weekday and weekend groups: length of stay; time to initiation of subcutaneous insulin; and time to each of the following: venous pH >7.3, blood glucose <200 mg/dL, and anion gap ≤12 mEq/L. Odds of 30-day all-cause mortality and 30-day all-cause and DKA-specific readmission were also examined.Results: Over 11 years, 4,703 patients were included in the overall cohort, and 648 were included in the subcohort. For both weekend definitions, weekend admission did not produce differences in any outcome for either study cohort.Conclusion: No weekend effect on DKA outcomes was detected at an urban tertiary-care center.Abbreviations: AG = anion gap; CCI = Charlson Comorbidity Index; DKA = diabetic ketoacidosis; ICD = International Classification of Diseases; IVI = intravenous insulin; LOS = length of stay; SCI = subcutaneous insulin     

Integrated Insulin Pump and Continuous Glucose Monitoring Technology in Diabetes Care Today: A Perspective of Real-Life Experience With the Minimed™ 670G Hybrid Closed-Loop System

Objective: Intensive glucose management with insulin pump and continuous glucose monitoring therapy in insulin-treated patients with diabetes poses many challenges in all aspects of daily life. Automated insulin delivery (AID) is the ultimate goal of insulin replacement therapy to reduce the burden of managing this condition. Many systems are being tested in the clinical research setting, and one hybrid closed-loop (HCL) system has received Food and Drug Administration (FDA) approval for use in type 1 diabetes patients above the age of 14 years.Methods: Literature review and clinical practice experience from the Diabetes and Technology Program at an academic medical center.Results: This review outlines recent advances in AID systems, focusing on the FDA-approved MiniMed™ 670G HCL system and the real-life experience 1-year post-release in an academic medical center with over 60 patients on this system. The unique challenges of adapting to this new system outside the clinical trial setting are highlighted, and a training protocol designed specifically for the onboarding of first-time users is described.Conclusion: HCL insulin therapy offers several advantages, at the same time posing unique challenges to the user. Systematic training of patients with diabetes transitioning to this system is essential for retention and success of use.Abbreviations: AID = automated insulin delivery; CGM = continuous glucose monitoring; FDA = Food and Drug Administration; HbA1c = glycated hemoglobin; HCL = hybrid closed-loop; ICR = insulin to carbohydrate ratio; SAP = sensor augmented pump; T1DM = type 1 diabetes     

The Effects of a Comprehensive Multidisciplinary Outpatient Diabetes Program on Hospital Readmission Rates in Patients with Diabetes: A Randomized Controlled Prospective Study

Objective: The diagnosis of diabetes mellitus is associated with an increased risk of hospital readmissions. The goal of this study was to determine whether there was a difference in the rates of 30-day and 365-day hospital readmissions between diabetic patients who, upon their discharge, received diabetes care in a standard primary care setting and those who received their care in a specialized multidisciplinary diabetes program.Methods: This was a randomized controlled prospective study.Results: One hundred and ninety two consecutive patients were recruited into the study, 95 (49%) into standard care (control group) and 97 (51%) into a multidisciplinary diabetes program (intervention group). The 30-day overall hospital readmission rates (including both emergency department and hospital readmissions) were 19% in the control group and 7% in the intervention group (P = .02). The 365-day overall hospital readmission rates were 38% in the control group and 14% in the intervention group (P = .0002).Conclusion: Patients with diabetes who are assigned to a specialized multidisciplinary diabetes program upon their discharge exhibit significantly reduced hospital readmission rates at 30 days and 365 days after discharge.     

Predictors for Adverse Outcomes in Diabetic Ketoacidosis in a Multihospital Health System

Objective: To determine predictors of prolonged length of stay (LOS), 30-day readmission, and 30-day mortality in a multihospital health system.Methods: We performed a retrospective review of 531 adults admitted with diabetic ketoacidosis (DKA) to a multihospital health system between November 2015 and December 2016. Demographic and clinical data were collected. Linear regression was used to calculate odds ratios (ORs) for predictors and their association with prolonged LOS (3.2 days), 30-day readmission, and 30-day mortality.Results: Significant predictors for prolonged LOS included: intensive care unit (ICU) admission (OR, 2.12; 95% confidence interval [CI], 1.38 to 3.27), disease duration (nonlinear) (OR, 1.28; 95% CI, 1.10 to 1.49), non-white race (OR, 1.73; 95% CI, 1.15 to 2.60), age at admission (OR, 1.03; 95% CI, 1.01 to 1.04), and Elixhauser index (EI) (OR, 1.21; 95% CI, 1.13 to 1.29). Shorter time to consult after admission (median [Q1, Q3] of 11.3 [3.9, 20.7] vs. 14.8 [7.4, 37.3] hours, P<.001) was associated with a shorter LOS. Significant 30-day readmission predictors included: Medicare insurance (OR, 2.35; 95% CI, 1.13 to 4.86) and EI (OR, 1.31; 95% CI, 1.21 to 1.41). Endocrine consultation was associated with reduced 30-day readmission (OR, 0.51; 95% CI, 0.28 to 0.92). A predictive model for mortality was not generated because of low event rates.Conclusion: EI, non-white race, disease duration, age, Medicare, and ICU admission were associated with adverse outcomes. Endocrinology consultation was associated with lower 30-day readmission, and earlier consultation resulted in a shorter LOS.Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EI = Elixhauser index; HbA1c = hemoglobin A1c; ICD = International Classification of Diseases; ICU = intensive care unit; LOS = length of stay; OR = odds ratio; Q = quartile     

Inequality in Diabetes-Related Hospital Admissions in England by Socioeconomic Deprivation and Ethnicity: Facility-Based Cross-Sectional Analysis

ObjectiveTo investigate the effect of social deprivation and ethnicity on inpatient admissions due to diabetes in England.DesignFacility-based cross-sectional analysis.SettingNational Health Service (NHS) trusts in England reporting inpatient admissions with better than 80% data reporting quality from 2010–2011 (355 facilities).ParticipantsNon-obstetric patients over 16 years old in all NHS facilities in England. The sample size after exclusions was 5,147,859 all-cause admissions.ResultsThere were 445,504 diabetes-related hospital admissions in England in 2010, giving a directly (age-sex) standardized rate of 1049.0 per 100,000 population (95% confidence interval (CI): 1046.0–1052.1). The relative risk of inpatient admission in the most deprived quintile was 2.08 times higher than that of the least deprived quintile (95% CI: 2.02–2.14), and the effect of deprivation varied across ethnicities. About 30.1% of patients admitted due to diabetes were readmitted at least once due to diabetes. South Asians showed 2.62 times (95% CI: 2.51 – 2.74) higher admission risk. Readmission risk increased with IMD among white British but not other ethnicities. South Asians showed slightly lower risk of readmission than white British (0.86, 95% CI: 0.80 – 0.94).ConclusionsMore deprived areas had higher rates of inpatient admissions and readmissions due to diabetes. South Asian British showed higher admission risk and lower readmission risk than white British. However, there was almost no difference by ethnicity in readmission due to diabetes. Higher rates of admission among deprived people may not necessarily reflect higher prevalence, but higher admission rates in south Asian British may be explained by their higher prevalence because their lower readmission risk suggests no inequality in primary care to prevent readmission. Better interventions in poorer areas, are needed to reduce these inequalities.     

Utility of Psychological Screening of Young Adults with Type 1 Diabetes Transitioning to Adult Providers

Objective: Screening for depression, diabetes distress, and disordered eating in youth with type 1 diabetes (T1D) is recommended, as these comorbidities contribute to poor glycemic control. No consensus exists on which measures are optimal, and most previous studies have used nondisease-specific measures. We examined the utility of screening for these disorders using two disease-specific and one general measure at the time of transition from pediatric to adult care.Methods: Forty-three young adults from a T1D transition clinic completed the Patient Health Questionnaire, the Diabetes Distress Scale, and the Diabetes Eating Problem Survey–Revised. Chart review determined if clinicians noted similar symptoms during the year prior to transition. Metabolic data were also recorded.Results: Chart review identified 5 patients with depressive symptoms and 8 patients with diabetes distress. Screening identified 2 additional patients with depressive symptoms and 1 additional patient with diabetes distress. Of those noted to have symptomatic depression or diabetes distress on chart review, several subsequently screened negative on transition. Disordered eating was not detected by chart review, but 23.5% screened positive on transition. While depression, diabetes distress, and disordered eating positively correlated with glycated hemoglobin (HbA1c) (r = 0.31, P = .05; r = 0.40, P = .009; r = 0.63, P<.001, respectively), disordered eating accounted for the majority of observed variance (df = 1; F = 18.6; P<.001). Even though HbA1c was higher in patients with versus without disordered eating (P<.001), body mass index did not differ between the 2 groups (P = .51).Conclusion: In young adults with T1D, formal screening provides an opportunity to detect psychological problems, which, when treated, may help optimize metabolic control during the transition process.Abbreviations:T1D = type 1 diabetesHbA1C = hemoglobin A1cYCDP = Yale Children's Diabetes ProgramPHQ-8 = Patient Health Questionnaire–8DDS = Diabetes Distress ScaleDEPS-R = Diabetes Eating Problem Survey–Revised     

Reduced Impact of Diabetes Clinic Referral on High-Frequency Emergency Department Users

Objective: The patterns of emergency department (ED) visits in patients with diabetes are not well understood. The Emergency Department Diabetes Rapid-referral Program (EDRP) allows direct booking of ED patients presenting with urgent diabetes needs into a diabetes specialty clinic within 1 day of ED discharge. The objective of this secondary analysis was to examine characteristics of patients with diabetes who have frequent ED visits and determine reasons for revisits.Methods: A single-center analysis was conducted comparing patients referred to the EDRP (n = 420) to historical unexposed controls (n = 791). The primary outcome was the proportion of patients in each frequency group of ED revisits (none, 1 to 3 [infrequent], 4 to 10 [frequent], or >10 [superfrequent]) in the year after the ED index visit. Secondary outcomes were hospitalization rates and International Classification of Diseases–Ninth Revision (ICD-9) diagnoses at ED revisits.Results: Superfrequent users, responsible for >20% of total ED visits, made up small but not significantly different proportions of EDRP and control populations, 3.6% and 5.2%, respectively. Superfrequent groups had lower hospital admission rates at ED revisits compared to frequent groups. Mental health disorders (including substance abuse) were the primary, secondary, or tertiary ICD-9 codes in 30.6% (95% confidence interval [CI], 27.7% to 33.5%) and 6.6% (95% CI, 5.1% to 8.2%) in the superfrequent and infrequent groups, respectively.Conclusion: Direct access to diabetes specialty care from the ED is effective in reducing ED recidivism but not amongst a small subgroup of superfrequent ED users. This group was more likely to have mental health disorders recorded at ED revisits, suggesting that more comprehensive approaches are needed for this population.Abbreviations: EDRP = Emergency Department Diabetes Rapid-referral Program; ED = emergency department; HbA1c = hemoglobin A1c; ICD-9 = International Classification of Diseases–Ninth Revision     

Metformin: Nonglycemic Effects and Potential Novel Indications

Objective: Metformin is the most commonly prescribed drug for the treatment of type 2 diabetes because of its apparent robust effects in reducing cardiovascular risk. This review examines the current literature regarding the nonglycemic effects and potential novel indications for metformin.Methods: Review of the literature, with a focus on metformin use in Stage 3 chronic kidney disease (CKD-3) and heart failure (HF).Results: The United Kingdom Prospective Diabetes Study suggests that metformin reduces the risk of myocardial infarction, and more recent retrospective studies have shown an association between metformin use and a reduction in stroke, atrial fibrillation and all-cause mortality. The mechanism(s) explaining these putative benefits are not clear but may involve decreased energy intake (with attendant weight loss), improvement in lipids, and lowering of blood pressure; a literature review suggests that metformin lowers blood pressure when it is elevated, but not when it is normal. Metformin appears to be safe when given to patients with CKD-3. In addition, there is evidence that individuals with CKD-3, who are at increased cardiovascular risk, stand to benefit from metformin therapy. Lactic acidosis is an extremely remote and probably avoidable risk; measurement of plasma metformin levels and more frequent monitoring of renal function may be useful in selected patients with CKD-3 who are treated with metformin. Finally, there is evidence that metformin is safe in patients with HF; metformin therapy is associated with a reduction in newly incident HF and in HF mortality.Conclusion: Metformin has a dominant position in the treatment of type 2 diabetes that is deserved due to its favorable and robust effects on cardiovascular risk.Abbreviations:AMP = adenosine monophosphateBP = blood pressureCKD = chronic kidney diseaseCKD-3 = Stage 3 CKDeGFR = estimated glomerular filtration rateHDL = high-density lipoproteinHF = heart failureMAP = mean arterial pressuremVO₂ = myocardial oxygen consumptionT2DM = type 2 diabetes mellitusUKPDS = United Kingdom Prospective Diabetes Study     

Risk Factors for Hypoglycemia in Inpatients with Total Parenteral Nutrition and Type 2 Diabetes: A Post HOC Analysis of the Insupar Study

Objective: Treatment of hyperglycemia with insulin is associated with increased risk of hypoglycemia in type 2 diabetes mellitus (T2DM) patients receiving total parenteral nutrition (TPN). The aim of this study was to determine the predictors of hypoglycemia in hospitalized T2DM patients receiving TPN.Methods: Post hoc analysis of the INSUPAR study, which is a prospective, open-label, multicenter clinical trial of adult inpatients with T2DM in a noncritical setting with indication for TPN.Results: The study included 161 patients; 31 patients (19.3%) had hypoglycemic events, but none of them was severe. In univariate analysis, hypoglycemia was significantly associated with the presence of diabetes with end-organ damage, duration of diabetes, use of insulin prior to admission, glycemic variability (GV), belonging to the glargine insulin group in the INSUPAR trial, mean daily grams of lipids in TPN, mean insulin per 10 grams of carbohydrates, duration of TPN, and increase in urea during TPN. Multiple logistic regression analysis showed that the presence of diabetes with end-organ damage, GV, use of glargine insulin, and TPN duration were risk factors for hypoglycemia.Conclusion: The presence of T2DM with end-organ damage complications, longer TPN duration, belonging to the glargine insulin group, and greater GV are factors associated with the risk of hypoglycemia in diabetic noncritically ill inpatients with parenteral nutrition.Abbreviations: ADA = American Diabetes Association; BMI = body mass index; CV% = coefficient of variation; DM = diabetes mellitus; GI = glargine insulin; GV = glycemic variability; ICU = intensive care unit; RI = regular insulin; T2DM = type 2 diabetes mellitus; TPN = total parenteral nutrition     

Relationship Between Glycemic Control and Readmission Rates in Patients Hospitalized With Congestive Heart Failure During Implementation of Hospital-Wide Initiatives

ObjectiveTo determine the relationship between inpatient glycemic control and hospital readmission in patients with congestive heart failure (CHF).MethodsWe used an electronic data collection tool to identify patients with a discharge diagnosis of CHF who underwent point-of-care glucose assessments. Timeweighted mean glucose (TWMG), hemoglobin A1c, and glycemic lability index (GLI) served as glycemic indicators, and readmission for CHF was determined at 30 days and between 30 and 90 days.ResultsThe analysis included 748 patients. After adjustment for significant covariates, log-transformed increasing TWMG (odds ratio 3.3; P = .03) and log-transformed hemoglobin A1c (odds ratio 5.5; P = .04) were independently associated with higher readmission for CHF between 30 and 90 days, but not by 30 days. Renal disease, African American race, and year of hospital admission were also significantly associated with readmission, but GLI was not. There was no significant difference in TWMG when analyzed on the basis of race or renal status. We noted a decrease in TWMG (P = .004) and a trend for reduction in readmission rates between 30 and 90 days (P = .06) after hospital-wide interventions were implemented to improve glycemic control, but no significant difference was detected in GLI or hypoglycemia.ConclusionIncreasing glucose exposure, but not glycemic variability, was associated with higher risk of readmission between 30 and 90 days in patients with CHF. Prospective studies are needed to confirm or refute these results. (Endocr Pract. 2010;16:945-951)     

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

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

Upstroke Time Per Cardiac Cycle is Associated with Cardiovascular Prognosis in Type 2 Diabetes

Objective: Upstroke time per cardiac cycle (UTCC) in the lower extremities has been found to be predictive of cardiovascular mortality in the general population. Therefore, the purpose of the study was to test the associations between increasing UTCC and outcomes in patients with type 2 diabetes.Methods: A total of 452 patients with type 2 diabetes (age, 67.5 ± 8.6 years; male, 54%) registered in a share-care program participated in the study at an outpatient clinic in Taipei Veterans General Hospital across a mean of 5.8 years. Primary outcomes were all-cause mortality hospitalization for coronary artery disease, stroke, revascularization, amputation, and diabetic foot syndrome. Secondary end-point outcome was all-cause mortality.Results: Increment of UTCC associations with primary and secondary outcomes were undertaken prior to baseline characteristic adjustments. A UTCC of 20.1% exhibited the greatest area under curve (AUC), sensitivity, and specificity balance to predict composite events in receiver operating curves (AUC, 0.63 &lsqb;P = .001]; sensitivity, 67.7%; specificity, 54.9%). Sixty-four composite events and 17 deaths were identified from medical records. UTCC ≥20.1% was associated with the occurrence of composite events and an increased risk of mortality. For composite events, an adjusted hazard ratio (HR) of 2.45 and 95% confidence interval (CI) of 1.38 to 4.35 (P = .002) were calculated. For all-cause mortality, an adjusted HR of 1.91 and 95% CI of 0.33 to 10.99 (P = .467) were calculated.Conclusion: Increasing UTCC was associated with cardiovascular outcomes in patients with type 2 diabetes. Therefore, UTCC is advocated as a noninvasive screening tool for ambulatory patients with type 2 diabetes.Abbreviations: CAD = coronary artery disease; CI = confidence interval; eGFR = estimated glomerular filtration rate; HR = hazard ratio; PAD = peripheral artery disease; UTCC = upstroke time per cardiac cycle     

Causes and Predictors for 30-DAY Re-Admissions in Adult Patients with Diabetic Ketoacidosis in the United States: a Nationwide Analysis, 2010–2014

Objective: We aimed to determine the causes and predictors for 30-day re-admission following a hospitalization for diabetic ketoacidosis (DKA) in the United States.Methods: This retrospective cohort study analyzed data from the National Re-admission Database. We included adult patients with a primary discharge diagnosis of DKA, from 2010 to 2014. Our primary objective was to determine the frequency and causes for 30-day re-admission after an index hospitalization for DKA. We also performed multivariate regression analyses using covariates from the index admission to identify predictors for 30-day re-admissions.Results: Among 479,590 admissions for DKA, 58,961 (12.3%) were re-admitted within 30 days. Recurrent DKA represented 40.8% of all-cause re-admissions. In multivariate analysis, end-stage renal disease (odds ratio &lsqb;OR], 2.13; 95% confidence interval &lsqb;CI], 2.00 to 2.27; P<.001), Charlson Comorbidity Index ≥3 (OR, 2.49; 95% CI, 2.42 to 2.58; P<.001), discharge against medical advice (OR, 1.97; 95% CI, 1.86 to 2.09; P<.001), and drug use (OR, 1.78; 95% CI, 1.71 to 1.86; P<.001) were the most significant predictors for 30-day re-admission. About 50% of patients were re-admitted within 2 weeks after discharge.Conclusion: In the U.S., about one in every eight patients with DKA is re-admitted within 30 days, with 40.8% representing recurrent DKA episodes. Patients with end-stage renal disease, high comorbidity burden, drug use, and/or leaving against medical advice represented the highest risk group for re-admissions. Future studies with interventions focusing on high-risk population are critically needed.Abbreviations: AKI = acute kidney injury; BMI = body mass index; CCI = Charlson Comorbidity Index; CI = confidence interval; DKA = diabetic ketoacidosis; DM1 = type 1 diabetes mellitus; DM2 = type 2 diabetes mellitus; ESRD = end-stage renal disease; ICD-9-CM = International Classification of Diseases, Ninth Edition, Clinical Modification; IQR = interquartile range; LOS = length of stay; NRD = National Re-admission Database; OR = odds ratio     

Outcomes Associated With Insulin Therapy Disruption After Hospital Discharge Among Patients with Type 2 Diabetes Mellitus who Had Used Insulin Before and During Hospitalization

ObjectiveTo evaluate outcomes associated with insulin therapy disruption after hospital discharge in patients with type 2 diabetes mellitus who had used insulin before and during hospitalization.MethodsIn this observational, retrospective analysis of medical records obtained from a coordinated health system in the United States, patients with type 2 diabetes mellitus who had used insulin 30 days before and during hospitalization were included. Clinical and cost outcomes were compared between patients who continued insulin therapy and those who had disrupted insulin therapy after hospital discharge.ResultsIn total, 2160 records were analyzed (851 patients with continued insulin therapy and 1309 patients with disrupted insulin therapy). Mean baseline glycated hemoglobin A_1c levels were 8.56% and 7.73% in patients who continued insulin therapy and patients who disrupted insulin therapy, respectively (P <.001), suggesting that patients who discontinued insulin therapy had better glycemic control at baseline. Continued insulin therapy was associated with an expected greater reduction in glycated hemoglobin A_1c (P <.001); similar hypoglycemia rates; lower risks of all-cause hospital readmission, diabetesrelated readmission, and all-cause emergency department visits; and improved survival. Continued insulin therapy was associated with $3432 lower total medical service costs than disrupted therapy over the 6-month postdischarge period.ConclusionEnsuring adherence to insulin therapy in patients who require insulin therapy after hospitalization should be a priority for postdischarge patient care programs. However, the clinical implications of this study are limited by the fact that it could not be determined whether all patients required insulin therapy after hospital discharge. (Endocr Pract. 2012;18:651-659)     

Self Blood Glucose Monitoring Underestimates Hyperglycemia And Hypoglycemia As Compared To Continuous Glucose Monitoring In Type 1 And Type 2 Diabetes

Objective: When glucose records from self blood glucose monitoring (SBGM) do not reflect estimated average glucose from glycosylated hemoglobin (HgBA1) or when patients' clinical symptoms are not explained by their SBGM records, clinical management of diabetes becomes a challenge. Our objective was to determine the magnitude of differences in glucose values reported by SBGM versus those documented by continuous glucose monitoring (CGM).Methods: The CGM was conducted by a clinical diabetes educator (CDE)/registered nurse by the clinic protocol, using the Medtronic iPRO2™ system. Patients continued SBGM and managed their diabetes without any change. Data from 4 full days were obtained, and relevant clinical information was recorded. De-identified data sets were provided to the investigators.Results: Data from 61 patients, 27 with type 1 diabetes (T1DM) and 34 with T2DM were analyzed. The lowest, highest, and average glucose recorded by SBGM were compared to the corresponding values from CGM. The lowest glucose values reported by SBGM were approximately 25 mg/dL higher in both T1DM (P = .0232) and T2DM (P = .0003). The highest glucose values by SBGM were approximately 30 mg/dL lower in T1DM (P = .0005) and 55 mg/dL lower in T2DM (P<.0001). HgBA1c correlated with the highest and average glucose by SBGM and CGM. The lowest glucose values were seen most frequently during sleep and before breakfast; the highest were seen during the evening and postprandially.Conclusion: SBGM accurately estimates the average glucose but underestimates glucose excursions. CGM uncovers glucose patterns that common SBGM patterns cannot.Abbreviations: CDE = certified diabetes educator; CGM = continuous glucose monitoring; HgBA1c = glycosylated hemoglobin; MAD = mean absolute difference; SBGM = self blood glucose monitoring; T1DM = type 1 diabetes; T2DM = type 2 diabetes     

De-Intensification of Diabetes Treatment in Elderly Patients with Type 2 Diabetes Mellitus

Objective: De-intensification of diabetes treatment is recommended in elderly patients with tight glycemic control at high risk of hypoglycemia. However, rates of de-intensification in endocrine practice are unknown. We conducted a retrospective study to evaluate the rate of de-intensification of antidiabetic treatment in elderly patients with type 2 diabetes mellitus (T2DM) and tight glycemic control.Methods: All patients with ≥2 clinic visits over a 1-year period at a major academic diabetes center were included. De-intensification of diabetes treatment was defined as a decrease or discontinuation of any antidiabetic drug without adding another drug, or a reduction in the total daily dose of insulin or a sulfonylurea drug with or without adding a drug without risk of hypoglycemia.Results: Out of 3,186 unique patients, 492 were ≥65 years old with T2DM and hemoglobin A1c (HbA1c) <7.5% (<58 mmol/mol). We found 308 patients treated with a sulfonylurea drug or insulin, 102 of whom had hypoglycemia as per physician note. Among these 102 patients, 38 (37%) were advised to de-intensify therapy. In a subgroup analysis of patients ≥75 years old with HbA1c <7% (<53 mmol/mol), we found that out of 23 patients treated with a sulfonylurea drug or insulin and reporting hypoglycemia, 11 (43%) were advised de-intensification of therapy. There were no significant predictors of de-intensification of treatment.Conclusion: Our study suggests that de-intensification of antidiabetic medications is uncommon in elderly patients with T2DM. Strategies may need to be developed to prevent the potential harm of overtreatment in this population.Abbreviations: ADA = American Diabetes Association; CGM = continuous glucose monitoring; HbA1c = hemoglobin A1c; T2DM = type 2 diabetes mellitus; UKPDS = United Kingdom Prospective Diabetes Study     

Potential Place of SGLT2 Inhibitors in Treatment Paradigms for type 2 Diabetes Mellitus

Objective: Following the first Food and Drug Administration (FDA) approval in 2013, sodium glucose cotransporter 2 (SGLT2) inhibitors have generated much interest among physicians treating patients with type 2 diabetes mellitus (T2DM). Here, the role in treatment with this drug class is considered in the context of T2DM treatment paradigms.Methods: The clinical trials for the SGLT2 inhibitors are examined with a focus on canagliflozin, dapagliflozin, and empagliflozin.Results: Evidence from clinical trials in patients with T2DM supports the use of SGLT2 inhibitors either as monotherapy or in addition to other glucose-lowering treatments as adjuncts to diet and exercise, and we have gained significant clinical experience in a relatively short time.Conclusion: The drugs appear to be useful in a variety of T2DM populations, contingent primarily on renal function. Most obviously, SGLT2 inhibitors appear to be well suited for patients with potential for hypoglycemia or weight gain. In clinical trials, patients treated with SGLT2 inhibitors have experienced moderate weight loss and a low risk of hypoglycemic events except when used in combination with an insulin secretagogue. In addition, SGLT2 inhibitors have been shown to reduce blood pressure, so they may be beneficial in patients with T2DM complicated by hypertension. SGLT2 inhibitors were incorporated into the 2015 American Diabetes Association (ADA)/European Association for the Study of Diabetes (EASD) position statement on the management of hyperglycemia and received an even more prominent position in the American Association of Clinical Endocrinologists (AACE)/American College of Endocrinology (ACE) comprehensive diabetes management guidelines and algorithm.Abbreviations: AE = adverse event A1C = glycated hemoglobin CI = confidence interval CKD = chronic kidney disease DKA = diabetic ketoacidosis DPP-4 = dipeptidyl peptidase 4 eGFR = estimated glomerular filtration rate FDA = Food and Drug Administration FPG = fasting plasma glucose GLP-1 = glucagon-like peptide 1 HDL-C = high-density lipoprotein cholesterol HR = hazard ratio LADA = late-onset autoimmune diabetes of adulthood LDL-C = low-density lipoprotein cholesterol MACE = major adverse cardiovascular events SGLT1 = sodium glucose cotransporter 1 SGLT2 = sodium glucose cotransporter 2 T1DM = type 1 diabetes mellitus T2DM = type 2 diabetes mellitus UACR = urine albumin to creatinine ratio