Preoperative and Postoperative Predictors of Insulin Independence From Total Pancreatectomy and Islet Autotransplantation.

OBJECTIVE: This study examined the preoperative and postoperative variables associated with 1 year and long-term insulin independence following total pancreatectomy and islet autotransplantation (TPIAT). METHODS: 46 TPIAT patients from 2010 to 2022 in a single hospital system were retrospectively analyzed. Pre- and postoperative variables were compared between short-term (1 year) and long-term (last follow-up after year 1) insulin-independent versus -dependent patients. RESULTS: Nine (20%) and seven (15%) patients achieved short- and long-term insulin independence, respectively. The patients were followed up for a median of 2.8 years (interquartile range [IQR] 1.0, 4.7). Short-term insulin independence was associated with higher median transplanted islet equivalents (IEQ) per kg (6981 vs 4493, P = .02), lower units of basal insulin on discharge (7 vs 12, P = .009), and lower rates of discharge with an insulin regimen (67% vs 100%, P = .006). Odds of short-term insulin independence increased by 80% for every 1000 increase in IEQ per kg (OR 1.80, CI 1.18-3.12, P = .005) and decreased by 32% for every additional basal unit of insulin on discharge (OR 0.68, CI 0.42-0.91, P = .003) on average. Long-term insulin independence was also associated with transplanted IEQ per kg. No patient on antihyperglycemic medication before surgery achieved insulin independence. CONCLUSION: Short- and long-term insulin independence after TPIAT is associated with higher transplanted IEQ per kg and immediate postoperative variables that can be used to inform the discussions clinicians have with their patients regarding glycemic prognosis following TPIAT.

Continuous Glucose Monitoring Using the Dexcom G6 in Cardiac Surgery During the Postoperative Period.

OBJECTIVE: Cardiac surgery is associated with hyperglycemia, which in turn is associated with adverse postsurgical outcomes such as wound infections, acute renal failure, and mortality. This pilot study seeks to determine if Dexcom G6Pro continuous glucose monitor (Dexcom G6Pro CGM) is accurate during the postoperative cardiac surgery period when fluid shifts, systemic inflammatory response syndrome, and vasoactive medications are frequently encountered, compared to standard glucose monitoring techniques. METHODS: This study received institutional review board approval. In this prospective study, correlation between clinical and Dexcom glucose readings was evaluated. Clinical glucose (blood gas, metabolic panel, and point of care) data set included 1428 readings from 29 patients, while the Dexcom G6Pro CGM data included 45 645 data points following placement to upper arm. Additionally, average clinical measurements of day and overnight temperatures and hemodynamics were evaluated. Clinical and Dexcom data were restricted to being at least 1 hour after prior clinical reading Matching Dexcom G6Pro CGM data were required within 5 minutes of clinical measure. Data included only if taken at least 2 hours after Dexcom G6Pro CGM insertion (warm-up time) and analyzed only following intensive care unit (ICU) admission. Finally, a data set excluding the first 24 hours after ICU admission was created to explore stability of the device. Patients remained on Dexcom G6Pro CGM until discharge or 10 days postoperatively. RESULTS: The population was 71% male, 14% with known diabetes; 66% required intravenous insulin infusion. The Clarke error grid plot of all measures post-ICU admission showed 53.5% in zone A, 45.9% in zone B, and 0.6% (n = 5) in zones D or E. The restricted dataset that excluded the first 24 hours post-ICU admission showed 55.9% in zone A, 43.9% in zone B, and 0.2% in zone D. Mean absolute relative difference between clinical and Dexcom G6Pro CGM measures was 20.6% and 21.6% in the entire post-ICU admission data set, and the data set excluding the first 24 hours after ICU admission, respectively. In the subanalysis of the 12 patients who did not have more than a 5-minute tap in the operating room, a consensus error grid, demonstrated that after ICU admission, percentage in zone A was 53.9%, zone B 45.4%, and zone C 0.7%. Similar percentages were obtained removing the first 24 hours post-ICU admission. These numbers are very similar to the entire cohort. A consensus error grid created post-ICU admission demonstrated: (zone A) 54%, (zone B) 45%, (zone C) 0.9%, and the following for the dataset created excluding the first 24 hours: (zone A) 56%, (zone B) 44%, (zone C) 0.4%, which demonstrated very close agreement with the original Clarke error grid. No adverse events were reported. CONCLUSIONS: Almost 100% of Dexcom G6Pro CGM and clinical data matching points fell within areas considered as giving clinically correct decisions (zone A) and clinically uncritical decisions (zone B). However, the relatively high mean absolute relative difference precludes its use for both monitoring and treatment in the clinical context. As technology evolves, interstitial glucose monitoring may become an important tool to limit iatrogenic anemia and mitigate glycemic fluctuations.

Association of Metformin, Dipeptidyl Dipeptidase-4 Inhibitors, and Insulin with Coronavirus Disease 2019-Related Hospital Outcomes in Patients with Type 2 Diabetes.

OBJECTIVE: The effects of diabetes medications on COVID-19 hospitalization outcomes have not been consistent. We sought to determine the effect of metformin, dipeptidyl peptidase-4 inhibitors (DPP-4i), and insulin on admission to the intensive care unit (ICU), need for assisted ventilation, development of renal insufficiency, and mortality in patients admitted with COVID-19 infection after controlling for clinical variables and other relevant diabetes-related medications in patients with type 2 diabetes mellitus (DM). METHODS: This was a retrospective study of patients hospitalized with COVID-19 from a single hospital system. Univariate and multivariate analyses were performed that included demographic data, glycated hemoglobin, kidney function, smoking status, insurance, Charlson comorbidity index, number of diabetes medications, and use of angiotensin-converting enzyme inhibitors and statin prior to admission and glucocorticoids during admission. RESULTS: A total of 529 patients with type 2 DM were included in our final analysis. Neither metformin nor DPP4i prescription was associated with ICU admission, need for assisted ventilation, or mortality. Insulin prescription was associated with increased ICU admission but not with need for assisted ventilation or mortality. There was no association of any of these medications with development of renal insufficiency. CONCLUSIONS: In this population, limited to type 2 DM and controlled for multiple variables that have not been consistently studied (such as a measure of general health, glycated hemoglobin, and insurance status), insulin prescription was associated with increased ICU admission. Metformin and DPP4i prescriptions did not have an association with the outcomes.

Weight-Based Insulin During and After Intravenous Insulin Infusion Reduces Rates of Rebound Hyperglycemia When Transitioning to Subcutaneous Insulin in the Medical Intensive Care Unit.

OBJECTIVE: Hyperglycemia often occurs after the transition from intravenous insulin infusion (IVII) to subcutaneous insulin. Weight-based basal insulin initiated earlier in the course of IVII in the medical intensive care unit (MICU), and a weight-based basal-bolus regimen after IVII, can potentially improve post-IVII glycemic control by 48 hours. METHODS: This prospective study included 69 patients in MICU who were on IVII for ≥24 hours. Exclusions were end-stage renal disease, type 1 diabetes mellitus, and the active use of vasopressors. The intervention group received weight-based basal insulin (0.2-0.25 units/kg) with IVII and weight-based bolus insulin after IVII. The control group received current care. The primary end points were glucose levels at specific time intervals up to 48 hours after IVII. RESULTS: There were 25 patients in the intervention group and 44 in the control group. The mean age of the patients was 59 ± 15 years, 32 (47%) were men, and 52 (78%) had prior diabetes mellitus. The 2 groups were not different (acute kidney injury/chronic kidney disease, pre-existing diabetes mellitus, illness severity, or nothing by mouth status after IVII), except for the steroid use, which was higher in the control group than in the intervention group (34% vs 12%, respectively). Glucose levels were not lower until 36 to 48 hours after IVII (166.8 ± 39.1 mg/dL vs 220.0 ± 82.9 mg/dL, P < .001). When controlling for body mass index, nutritional status, hemoglobin A1C, and steroid use, glucose level was lower starting at 12 to 24 hours out (166.87 mg/dL vs 207.50 mg/dL, P = .015). The frequency of hypoglycemia was similar between the 2 groups (5.0% vs 7.1%). The study did not reach target enrollment. CONCLUSION: The addition of weight-based basal insulin during, and basal-bolus insulin immediately after, IVII in MICU results in better glycemic control at 24 hours after IVII with no increased hypoglycemia.

Inpatient Hyperglycemia and Transitions of Care: A Systematic Review.

OBJECTIVE: The transition of diabetes care from home to hospital, within the hospital, and upon discharge is fraught with gaps that can adversely affect patient safety and length of stay. We aimed to highlight the variability in care during these transitions and point out areas where research is needed. METHODS: A PubMed search was performed with a combination of search terms that pertained to diabetes, hyperglycemia, hospitalization, locations in the hospital, discharge to home or a nursing facility, and diabetes medications. Studies with at least 50 patients that were written in the English language were included. RESULTS: With the exception of transitioning from intravenous insulin infusion to subcutaneous insulin and perhaps admission to the regular floors, few studies pointedly focused on transitions of care, leading us to extrapolate recommendations based on data from disparate areas of care in the hospital. There is evidence at every stage of care, starting from the entry into the hospital and ending with discharge home or to a facility, that patients benefit from having protocols in place guiding overall care. CONCLUSION: Pockets of care exist in hospitals where methods of effective diabetes management have been studied and implemented. However, there is no sustained continuum of care. Protocols and care teams that follow patients from one physical location to the other may result in improved clinical outcomes during and following a hospital stay.

Serum thyroid stimulating hormone level for predicting utility of thyroid uptake and scan.

BACKGROUND: Thyroid uptake and scan (TUS) is a clinical tool used for differentiation of thyrotoxicosis etiologies. Although guidelines recommend ordering a TUS for evaluation of low TSH levels, no specific value is defined. This study aimed to determine a TSH cutoff at which TUSs yield a greater likelihood of successful determination of etiology to avoid unnecessary testing. METHODS: This was a retrospective study on 137 patients seen by an endocrinologist who underwent TUS for evaluation of low TSH (<0.4 µU/mL). A receiver operating curve analysis was performed to determine the TSH cutoff with maximal sensitivity and specificity for prediction of diagnostic utility. RESULTS: Ninety percent of TUSs (n = 123) led to a diagnosis, while 10% (n = 14) were inconclusive or normal. Diagnoses included Graves' diseases (52%), toxic multinodular goiter (19%), thyroiditis (12%), and solitary toxic adenoma (7%). The median TSH value was 0.008 µU/mL (IQR 0.005, 0.011), and the median free T4 value was 1.7 µU/mL (IQR 1.3, 2.8). The ROC analysis produced an area under the curve of 0.86. The optimal TSH cutoff value was 0.02 µU/mL (sensitivity 80%, specificity 93%) for prediction of diagnostic yield. CONCLUSION: This study demonstrates that TSH is a useful predictor of the utility of TUS in yielding an etiology of thyrotoxicosis. Our analysis showed that TUS had a greater likelihood of determining an etiology when TSH was ≤0.02 µU/mL. This information can help clinicians avoid unnecessary cost and patient time burden when TUS is unlikely to aid in determining the etiology of thyrotoxicosis.

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.

CLINICAL CHARACTERISTICS OF PATIENTS WITH TYPE 2 DIABETES MELLITUS CONTINUED ON ORAL ANTIDIABETES MEDICATIONS IN THE HOSPITAL.

Objective: Basal/basal-bolus insulin with discontinuation of home oral antidiabetes medications (OADs) is the preferred method to achieve glycemic control in many hospitalized patients. We hypothesized that a subset of patients with type 2 diabetes mellitus (T2DM) can achieve an acceptable level of blood sugar control without cessation of their OADs when hospitalized. Methods: A retrospective chart review was conducted on patients with T2DM who were only on OADs at home, admitted to Fairview Hospital, a community hospital in the Cleveland Clinic Health System. We divided patients into those whose OADs were continued (group 1) and those whose OADs were discontinued (group 2), with or without the addition of insulin in the hospital. Blood glucose (BG) levels and patient characteristics were compared. Results: There were 175 patients, 73 in group 1 and 102 in group 2. The percentage of patients achieving all BG values within 100 to 180 mg/dL was the same between group 1 (21.9%) and group 2 (23.8%) (P = .78). Mean BG was similar between group 1 and group 2 (146.1 ± 41.4 mg/dL versus 152.1 ± 38.9 mg/dL; P = .33), with no significant difference in terms of percentage of patients with hyperglycemia or hypoglycemia. A greater proportion of patients in group 1 had an uninterrupted feeding status, nonintensive care unit admission and no contrast dye exposure, and a shorter length of stay. Conclusion: Our study shows that patients with certain characteristics could achieve an acceptable level of glycemic control without cessation of their home OADs. Abbreviations: BG = blood glucose; DPP-4 = dipeptidyl dipeptidase 4; GFR = glomerular filtration rate; HbA1c = hemoglobin A1c; ICU = intensive care unit; LOS = length of stay; NPO = nil per os; OAD = oral antidiabetes medication; POC = point of care; T2DM = type 2 diabetes mellitus.

Medical Tourism and Diabetes Care: Experience from a Tertiary Referral Center.

OBJECTIVE: Medical tourism, a form of patient mobility across international borders to seek medical services, has gained significant momentum. We aimed to assess the outcomes of medical tourism consultations on chronic diseases, more specifically diabetes mellitus, amongst a cohort of international patients, originating from different healthcare systems, and referred to the United States for medical care. METHODS: We identified international adults with established diabetes mellitus, referred globally from 6 countries to the United States between 2010 and 2016 for medical care, and were seen at the Cleveland Clinic Foundation (CCF). Group 1 included adults seen by an endocrinology provider during their CCF medical stay, whilst group 2 included those not seen by an endocrinology provider. To assess the impact of our consultations, changes in hemoglobin A1c (HbA1c) were assessed between visit(s). RESULTS: Our study included 1,108 subjects (771 in group 1, 337 in group 2), with a mean age (± SD) of 61.3±12.7 years, 62% male, and a median medical stay of 136 days (interquartile range: 57, 660). Compared to group 2, group 1 had a higher baseline mean HbA1c (8.0 ± 1.8% [63.9 mmol/mol] vs. 7.1 ± 1.4% [54.1 mmol/mol]; P<.001). After 1 visit with endocrinology, there was a significant decrease in mean HbA1c from 8.44 ± 1.98% (68.3 mmol/mol) to 7.51 ± 1.57% (58.5 mmol/mol) (P<.001). Greatest reductions in mean HbA1c were -1.47% (95% CI: -2.21, -0.74) and -1.27% (95% CI: -1.89, -0.66) after 3 and 4 visits, respectively (P<.001). CONCLUSION: Short-term diabetes mellitus consultations, in the context of medical tourism, are effective.

HYPERGLYCEMIA AND HYPOGLYCEMIA IN PATIENTS WITH DIABETES IN SKILLED NURSING FACILITIES.

OBJECTIVE: Endocrinologists are faced with a growing elderly patient population with diabetes mellitus (DM), some of whom are in skilled nursing facilities (SNFs). Efforts at managing their DM is hampered by concerns for hypoglycemia. This study aimed to determine the frequency of hypo- and hyperglycemia in SNFs, and associated factors. METHODS: We reviewed medical records of 200 consecutive residents admitted to two SNFs in the Cleveland area in 2014 with documented DM, aged ≥65 years. Data collected included blood glucose (BG) levels and DM regimens. Frequency of hyper- and hypoglycemic events was noted. Since patients had different frequencies of BG checks, event-days were calculated. RESULTS: Mean age, BG, and glycated hemoglobin (±SD) were as follows: 80.2 ± 8.2 years, 172.4 ± 40.3 mg/dL, and 7.5 ± 1.9% (59 mmol/mol), respectively. Seventy-one percent were on insulin alone, 15.5% on insulin and oral diabetes agents, and 13.5% on oral diabetes agent on admission. Patients with at least one event were as follows: 38% hypoglycemia, 3.5% severe hypoglycemia, 90.5% hyperglycemia, and 15% severe hyperglycemia. Event-days were: 3.4% hypoglycemia and 52.4% hyperglycemia. Risk of hypoglycemia was highest with concomitant sulfonylurea and prandial or sliding-scale insulin. Hyperglycemia risk was high in basal insulin-containing regimens. CONCLUSION: Hypoglycemia was seen in one-third of patients, and hyperglycemia was common despite insulin use. Concomitant use of sulfonylurea and prandial or sliding-scale insulin is best avoided in this fragile population with hypo- and hyperglycemia. ABBREVIATIONS: ADA = American Diabetes Association BG = blood glucose DM = diabetes mellitus GLP-1 = glucagon-like peptide 1 HBA1c = glycated hemoglobin LOS = length of stay NPH = neutral protamine Hagedorn SNF = skilled nursing facility SSI = sliding-scale insulin.

POSTOPERATIVE INSULIN REQUIREMENTS IN BARIATRIC SURGERY.

OBJECTIVE: Though insulin dose reduction months after surgery is a well-studied outcome, there are limited data on immediate postoperative changes. The goals of the present study were to ( 1) To determine peri-operative glycemic control in patients with type 2 diabetes mellitus (DM) on insulin who have undergone Roux-en-Y gastric bypass (RYGB) and ( 2) to compare pre- and postoperative insulin regimens and dosages in these patients. METHODS: A retrospective chart review was conducted on patients with type 2 DM on insulin who underwent RYGB surgery. Blood glucose (BG) levels and insulin doses were compared prior to surgery, on the day of surgery (DOS), and postoperative days (POD) 1 and 2. Subgroup analysis was performed to see if insulin dose was related to glucose control. RESULTS: There were 114 subjects with a mean (SD) age of 52.8 ± 9.8 years, body mass index (BMI) 46.2 ± 8.0 kg/m2, glycated hemoglobin A1c (HbA1c) 8.3% (67 mmol/mol) ± 1.7%, and 66% on insulin plus noninsulin medications and 34% on insulin only. Mean blood glucose (BG) significantly decreased from the DOS (185 ± 43 mg/dL) through POD2 (160 ± 36, P<.0001). The median daily insulin dose significantly decreased from before surgery on usual diet (75 units [36, 116 interquartile range (IQR)]) through POD2 (6 [2, 15 IQR]), P<.0001). The median insulin dose per body weight decreased significantly from before surgery on usual diet (0.58 units/kg [0.35, 0.84 IQR]) through POD2 (0.04 [0.02, 0.11 IQR]), P<.0001). The subgroup with relatively good control experienced a larger percentage reduction in insulin requirements versus subjects with poor control. CONCLUSION: An 87.5% reduction in total daily insulin dose was seen by POD2. This will assist in developing algorithms for insulin titration postbariatric surgery. ABBREVIATIONS: BG = blood glucose DM = diabetes mellitus DOS = day of surgery HbA1c = glycated hemoglobin IQR = interquartile range IV = intravenous NPH = neutral protamine Hagedorn POD = postoperative day RYGB = Roux-en-Y gastric bypass SSRI = sliding scale regular insulin.

The Impact of Systemic Factors on Clinical Response to Ranibizumab for Diabetic Macular Edema.

PURPOSE: To evaluate the effect of systemic factors on best-corrected visual acuity (BCVA) achieved with ranibizumab (Lucentis; Genentech, Inc, South San Francisco, CA) for treatment of diabetic macular edema (DME) in the RIDE and RISE phase 3 studies. DESIGN: Exploratory, post hoc analysis of 2 randomized, double-masked, sham-injection controlled studies. PARTICIPANTS: Adults with DME, BCVA of 20/40 to 20/320 Snellen equivalent, and central foveal thickness of 275 µm or more. METHODS: Analysis of RIDE (clinicaltrials.gov identifier, NCT00473382) and RISE (clinicaltrials.gov identifier, NCT00473330) pooled ranibizumab data through month 24. Change in BCVA was assessed for association with the following covariates: age, body mass index (BMI), blood pressure, serum glucose, glycosylated hemoglobin (HbA1c), blood urea nitrogen, serum creatinine, estimated glomerular filtration rate, and blood chemistry variables. Change in BCVA at month 24 was assessed according to the following categories of diabetes medication use history: insulin only (n = 193), insulin plus other medications (n = 221), or other noninsulin medications (n = 331). MAIN OUTCOME MEASURES: Change in BCVA from baseline assessed by randomized treatment group in pooled 0.3- and 0.5-mg monthly ranibizumab groups. RESULTS: In patients with DME, vision improvement with ranibizumab was not influenced by systemic factors such as diabetes medication history, serum glucose, HbA1c, renal function, BMI, and blood pressure. Patients taking insulin with or without other medications at baseline had longer diabetes disease duration (mean, 17.4 and 20.9 years, respectively) compared with those taking other noninsulin medications (mean, 11.9 years). At month 24, among ranibizumab-treated patients, the mean BCVA change from baseline (Early Treatment Diabetic Retinopathy Study letters ± standard deviation) was not different between patients taking only insulin (12.6±11.2 letters), insulin plus other medications (12.2±12.4 letters), or other noninsulin medications (14.0±13.7 letters). Mean BCVA change also was comparable among patients taking thiazolidinediones (12.9±9.7 letters) and those not taking thiazolidinediones (13.2±13.3 letters). CONCLUSIONS: There were no associations between systemic factors (baseline values or change from baseline) and mean change of BCVA at month 24. These results suggest that visual response to ranibizumab therapy in DME was not influenced by nonocular factors related to systemic management of diabetes in the RIDE and RISE studies.

U-500 regular insulin use in hospitalized patients.

OBJECTIVE: U-500 is a potent insulin used in patients with severe insulin resistance. This study aimed to describe the inpatient insulin requirements, insulin regimens, and glycemic control of hospitalized patients using U-500. METHODS: A retrospective chart review of adult patients using U-500 insulin at home who were admitted to Cleveland Clinic hospitals between 2001 and 2011 was performed. Two groups were compared: those who were given U-500 while hospitalized (Group A) and those who were switched to a different insulin regimen (Group B). The percentages of hypoglycemia days and hyperglycemia days were calculated as the number of days with the respective event divided by the length of stay (LOS) in days for each patient. RESULTS: There were 61 patients, 59% of which were male, with a median body mass index (BMI) 38.4, age 60.8 years, hemoglobin A1c 8.9% or 74 mmol/mol, and LOS 5.0 days. The majority (66%) remained on a U-500-based insulin regimen, while the rest were switched to a combination of long-, intermediate-, short- and/or fast-acting insulin. The endocrinology service was consulted for 61% of patients. Glucose levels were not significantly different between the 2 groups. Group B was given less insulin in the hospital compared to their home regimen. Group A had more frequent hypoglycemia days (mean ± SD: 15.3 ± 21.3 vs. 2.8 ± 6.4%) and more frequent severe hyperglycemia days (16.8 ± 21.8 % vs. 6.3 ± 9.8%) than Group B. CONCLUSION: This study suggests that there is a subset of patients on U-500 at home who might be managed on conventional insulin in the hospital. Patients who remain on U-500 in the hospital tend to continue with a high insulin dose requirement, which might predispose them to more frequent hypoglycemia.

Management of patients with type 1 diabetes in the hospital.

Managing a patient with type 1 diabetes mellitus can be challenging to the inpatient medical team. These patients require a continuous supply of exogenous insulin, and the omission of even a single dose can result in severe hyperglycemia and diabetic ketoacidosis. This article aims to equip the inpatient medical team with the knowledge and expertise required to care for these patients in the hospital, including transitioning from home to hospital, transitioning from the intravenous insulin infusion to the subcutaneous route, subcutaneous insulin dosing including the insulin pump, and transitioning back to home.

Diabetes technology: A primer for clinicians.

Diabetes technology is evolving rapidly and is changing the way both patients and clinicians approach the management of diabetes. With more devices gaining US Food and Drug Administration approval and insurance coverage expanding, these new technologies are being widely adopted by people living with diabetes. We provide a summary of the commonly available devices in the market today that clinicians will likely encounter. This includes continuous glucose monitors (CGMs); connected insulin pens, caps, and buttons; and insulin pumps. Clinicians' awareness of and familiarity with this technology will enhance its accessibility for patients with diabetes.

Glucocorticoid-induced adrenal insufficiency and glucocorticoid withdrawal syndrome: Two sides of the same coin.

Diseases of the adrenal glands can lead to primary adrenal insufficiency, and suppression of the hypothalamic-pituitary-adrenal axis can cause secondary adrenal insufficiency (adrenal suppression). The most common cause of adrenal suppression is exogenous steroids, a condition recently termed glucocorticoid-induced adrenal insufficiency (GIAI). Similarly, weaning from high doses of glucocorticoids or giving insufficient glucocorticoid replacement after curative surgery for endogenous hypercortisolism (Cushing syndrome) can lead to glucocorticoid withdrawal syndrome, which overlaps with GIAI.

Recent and emerging therapeutic medications in type 2 diabetes mellitus: incretin-based, Pramlintide, Colesevelam, SGLT2 Inhibitors, Tagatose, Succinobucol.

Nearly 285 million people worldwide, with 10% being Americans, suffer from diabetes mellitus and its associated comorbidities. This is projected to increase by 6.5% per year, with 439 million inflicted by year 2030. Both morbidity and mortality from diabetes stem from the consequences of microvascular and macrovascular complications. Of the 285 million with diabetes, over a quarter of a million die per year from related complications, making diabetes the fifth leading cause of death in high-income countries. These startling statistics illustrate the therapeutic failure of current diabetes drugs to retard the progression of diabetes. These statistics further illustrate the continual need for further research and development of alternative drugs with novel mechanisms to slow disease progression and disease complications. The treatment algorithm updated in 2008 by American Diabetes Association and the European Association for the Study of Diabetes currently recommends the traditional medications of metformin, either as monotherapy or in combination with sulfonylurea or insulin, as the preferred choice in the tier 1 option. The algorithm only suggests addition of alternative medications such as pioglitazone and incretin-based drugs as second-line agents in the tier 2 "less well-validated" option. However, these traditional medications have not proven to delay the progressive course of diabetes as evidence of increasing need over time for multiple drug therapy to maintain sufficient glycemic control. Because current diabetes medications have limited efficacy and untoward side effects, the development of diabetes mellitus drugs with newer mechanisms of action continues. This article will review the clinical data on the newly available incretin-based drugs on the market, including glucagon-like peptide agonists and of dipeptidyl peptidase type-4 inhibitors. It will also discuss 2 unique medications: pramlintide, which is indicated for both type and type-2 diabetes, and colesevelam, which is approved by the United States Food and Drug Administration for both type-2 diabetes and hyperlipidemia. It will further review the clinical data on the novel emerging agents of sodium-glucose cotransporter-2 inhibitors, tagatose, and succinobucol, all currently in phase III clinical trials. This review article can serve as an aid for clinicians to identify clinical indications in which these new agents can be applied in the treatment algorithm.