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

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

Tumor Volume Can Be Used as a Parameter Indicating the Severity of Disease in Parathyroid Cancer

ObjectiveTo determine whether tumor volume and tumor size are related to disease severity in parathyroid cancer (PC).MethodsPatients treated for PC at our institution were retrospectively identified. Data were collected about clinical and pathologic characteristics, laboratory parameters, tumor volume, recurrence, metastasis, and mortality. Correlation analysis was applied to laboratory parameters, tumor volume, and tumor size in PC patients.ResultsThe study included 20 patients diagnosed with PC at our center. The median follow-up was 33 months. Serum calcium (median, 12.5 mg/dL), serum parathormone (PTH) (median, 743 pg/mL), and serum alkaline phosphatase (ALP) (median, 298 U/L) levels were found to be increased, and 25-hydroxyvitamin D (25[0H)D) (median, 12.3 ng/mL) and serum phosphorus (median, 2.1 mg/dL) levels were decreased. Magnesium level was within normal limits (median, 1.9 mg/dL). The median tumor volume was 5.7 mL and median tumor size was 2.5 cm. Significant positive correlations were found between tumor volume and calcium, ALP, and PTH levels. A significant negative correlation was found between tumor volume and 25(OH)D level. There were no significant correlations between tumor size and calcium, ALP, PTH, and 25(OH)D.ConclusionThese results found that the tumor volume affected PTH, calcium, ALP, and 25(OH)D levels. The morbidity and mortality associated with PC were usually associated with PTH secretion and hypercalcemia. Therefore, tumor volume may be a more effective parameter than tumor size when evaluating the severity of disease.     

A Pilot Study of Youth With Type 1 Diabetes Initiating Use of a Hybrid Closed-Loop System While Receiving a Behavioral Economics Intervention

ObjectiveMany youth do not use the hybrid closed-loop system for type 1 diabetes effectively. This study evaluated the impact of financial incentives for diabetes-related tasks on use of the 670G hybrid closed-loop system and on glycemia.MethodsAt auto mode initiation and for 16 weeks thereafter, participants received a flat rate for wearing and calibrating the sensor ($1/day), administering at least 3 mealtime insulin boluses per day ($1/day), and uploading ($5/week). Weekly bonuses were given for maintaining at least 70% of the time in auto mode, which were increased for persistent auto mode use from $3/week to a maximum of $13/week. If a participant failed to maintain auto mode for a week, the rewards were reset to baseline. Data from 17 participants aged 15.9 years ± 2.5 years (baseline hemoglobin A1c [HbA1c] 8.6% ± 1.1%) were collected at 6, 12, and 16 weeks. The reinforcers were withdrawn at 16 weeks, with a follow-up assessment at 24 weeks.ResultsWith reinforcers, the participants administered an average of at least 3 mealtime insulin boluses per day and wore the sensor over 70% of the time. However, auto mode use waned. HbA1c levels decreased by 0.5% after 6 weeks, and this improvement was maintained at 12 and 16 weeks (P < .05). Upon withdrawal of reinforcers, HbA1c levels increased back to baseline at 24 weeks.ConclusionCompensation for diabetes-related tasks was associated with lower HbA1c levels, consistent administration of mealtime insulin boluses, and sustained sensor use. These results support the potential of financial rewards for improving outcomes in youth with type 1 diabetes.     

Basal Insulin Degludec and Glycemic Control Compared to Aspart Via Insulin Pump in Type 1 Diabetes (BIGLEAP): A Single-Center,Open-Label,Randomized, Crossover Trial

ObjectiveWe compared the efficacy of the second-generation basal insulin degludec (IDeg) to that of insulin aspart via pump using continuous glucose monitoring in patients with well-controlled type 1 diabetes.MethodsIn this 40-week, single-center, randomized, crossover-controlled trial, adults with well-controlled type 1 diabetes (hemoglobin A1C of <7.5% [<58 mmol/mol]) (N = 52) who were using an insulin pump and continuous glucose monitoring were randomized to 1 of 2 treatments for a 20-week period: a single daily injection of IDeg with bolus aspart via pump or a continuous subcutaneous insulin infusion (CSII) with aspart, followed by crossover to the other treatment. The primary endpoint was time in range (70-180 mg/dL) during the final 2 weeks of each treatment period.ResultsFifty-two patients were randomized and completed both treatment periods. The time in range for IDeg and CSII was 71.5% and 70.9%, respectively (P = .553). The time in level 1 hypoglycemia for the 24-hour period with IDeg and CSII was 2.19% and 1.75%, respectively (P = .065). The time in level 2 hypoglycemia for the 24-hour period with IDeg and CSII was 0.355% and 0.271%, respectively (P = .212), and the nocturnal period was 0.330% and 0.381%, respectively (P = .639). The mean standard deviation of blood glucose levels for the 24-hour period for IDeg and CSII was 52.4 mg/dL and 51.0 mg/dL, respectively (P = .294). The final hemoglobin A1C level for each treatment was 7.04% (53 mmol/mol) with IDeg, and 6.95% (52 mmol/mol) with CSII (P = .288). Adverse events were similar between treatments.ConclusionWe observed similar glycemic control between IDeg and insulin aspart via CSII for basal insulin coverage in patients with well-controlled type 1 diabetes.     

Factors Associated With Insulin Pump Discontinuation in Adults With Diabetes: A Time-to-Invent Analysis and Prediction Model

ObjectiveInsulin pump discontinuation has mostly been studied in children and adolescents living with diabetes. We aimed to assess the rate of insulin pump continuation in a population of adult patients with diabetes, at 18 months after initiation; determine the factors associated with pump discontinuation; and develop a simple prediction model.MethodsThis single-center, retrospective study included all adult patients with type 1 diabetes or type 2 diabetes who started insulin pump treatment between January 2015 and June 2018. The exclusion criteria were pregnancy, short-term pregnancy plans, and insulin pump discontinuation within the previous 6 months. The probability of insulin pump continuation after 18 months was estimated using the Kaplan-Meier method. Factors associated with insulin pump discontinuation were studied using a Cox regression model, and an exponential model was built for prediction purposes.ResultsThe study included 315 patients. The mean age was 41 years, the mean duration of diabetes was 16 years, 50% were men, 74% had type 1 diabetes, and the mean hemoglobin A1c level was 9.1% (76 mmol/mol). After 18 months, the rate of insulin pump continuation was 0.80 (95% Confidence Interval (CI), 0.76-0.85). By multivariate analysis, the occurrence of severe hypoglycemia in the previous year was associated with insulin pump discontinuation (hazard ratio, 2.42; 95% CI, 1.30-4.51), while other factors did not reach statistical significance.ConclusionInsulin pump discontinuation occurred in 20% of patients at 18 months after initiation and was mainly associated with a recent history of severe hypoglycemia. The type of diabetes and glycemic control at baseline were not associated with treatment discontinuation.     

Inpatient Hyperglycemia and Transitions of Care: A Systematic Review

ObjectiveThe 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.MethodsA 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.ResultsWith 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.ConclusionPockets 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.     

The Effect of Prestudy Insulin Therapy on Safety and Efficacy of Human Regular U-500 Insulin by Pump or Injection: A Posthoc Analysis

ObjectiveWe conducted a posthoc analysis of the VIVID study (Safety and Efficacy of Human Regular U-500 Insulin Administered by Continuous Subcutaneous Insulin Infusion Versus Multiple Daily Injections in Subjects With Type 2 Diabetes Mellitus: A Randomized, Open-Label, Parallel Clinical Trial), comparing 2 delivery methods of human regular U-500 insulin (U-500R), continuous subcutaneous insulin infusion (CSII) versus multiple daily injection (MDI), in type 2 diabetes requiring high insulin, to determine influence of prestudy insulin on glycemic outcomes.MethodsWe compared A1C, total daily insulin dose (TDD), weight, and hypoglycemia by subgroups of prestudy insulin (prestudy U-500R vs non-U-500R) and treatment (CSII vs MDI).ResultsAt baseline, prestudy U-500R had higher TDD, higher body mass index, lower A1C and fasting plasma glucose, and higher rate of hypoglycemia compared to non-U-500R. Active titration of U-500R reduced A1C in both subgroups, with maximum benefit at 8 weeks. At 26 weeks, CSII provided the greatest reduction in A1C in both subgroups, with a greater reduction in non-U-500R. MDI provided an A1C reduction in both subgroups, with the greater reduction in non-U-500R. At 8 weeks, prestudy U-500R reached its lowest A1C; thereafter, A1C rebounded with MDI and remained stable with CSII. In non-U-500R, A1C continued to decrease to study end. In non-U-500R, hypoglycemia increased during active titration, but then decreased in the posttitration maintenance period. In both subgroups, TDD increased from baseline with MDI but not with CSII. Body weight increased in both subgroups but was greater in prestudy U-500R with CSII compared to MDI.ConclusionRegardless of previous insulin, people on high-dose insulin could lower A1C with U-500R, with additional benefit from CSII. These results may provide guidance for use of U-500R in clinical practice.     

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

ObjectiveHyperglycemia 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.MethodsThis 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.ResultsThere 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.ConclusionThe 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.     

Ultra Rapid-Acting Inhaled Insulin Improves Glucose Control in Patients With Type 2 Diabetes Mellitus

ObjectiveTo determine whether the use of an inhaled insulin would improve HbA1c.MethodsThis study was performed in 20 type 2 diabetes mellitus (T2DM) participants with HbA1c values ≥7.5 (58) to ≤11.5% (102 mmol/mol) on a variety of glucose-lowering regimens. Prandial Technosphere insulin (TI) was rapidly titrated based on a treatment algorithm using postprandial blood glucose to calculate premeal doses. A 2-week baseline period was followed by 12 weeks of active treatment with TI. The primary outcome was change in HbA1c. Secondary outcomes included glucose time in range (time in range: 70-180 mg/dL) obtained by a blinded continuous glucose monitoring during the baseline period and at the end of 12 weeks. Goals were to assess how to rapidly and safely initiate TI intensification, determine dosing requirements, and establish an effective dose range in uncontrolled T2DM.ResultsMean HbA1c decreased by −1.6% (−17 mmol/mol) from 9.0% (75 mmol/mol) at baseline to 7.4% (57 mmol/mol) at 12 weeks (P < .0001). Mean time in range increased from 42.2% to 65.7% (P < .0002). Mean prandial doses of TI were 18 or 19 units for all meals. Time below range was 1.1% baseline and 2.6% post treatment (P = .01).ConclusionTreatment with inhaled TI dosed using a simple algorithm improved glycemic control measured by both HbA1c and time in range, with low rates of hypoglycemia. These data add significantly to understanding TI in the management of T2DM patients for whom prandial insulin is a consideration.     

Automated Insulin Delivery Systems as a Treatment for Type 2 Diabetes Mellitus: A Review

ObjectiveApproximately 6.3% of the worldwide population has type 2 diabetes mellitus (T2DM), and the number of people requiring insulin is increasing. Automated insulin delivery (AID) systems integrate continuous subcutaneous insulin infusion and continuous glucose monitoring with a predictive control algorithm to provide more physiologic glycemic control. Personalized glycemic targets are recommended in T2DM owing to the heterogeneity of the disease. Based on the success of hybrid closed-loop systems in improving glycemic control and safety in type 1 diabetes mellitus, there has been further interest in the use of these systems in people with T2DM.MethodsWe performed a review of AID systems with a focus on the T2DM population.ResultsIn 5 randomized controlled trials, AID systems improve time in range and reduce glycemic variability, without increasing insulin requirements or the risk of hypoglycemia.ConclusionAID systems in T2DM are safe and effective in hospitalized and closely monitored settings. Home studies of longer duration are required to assess for long-term benefit and identify target populations of benefit.     

Results of a 24-Week Trial of Technosphere Insulin Versus Insulin Aspart in Type 2 Diabetes

ObjectiveTo compare glycemic efficacy of Technosphere insulin (TI) versus that of insulin aspart (IA), each added to basal insulin, in type 2 diabetes.MethodsThis randomized, 24-week trial included subjects aged from 18 to 80 years who were treated with subcutaneous insulin for 3 months and had glycated hemoglobin (HbA1C) levels of 7.0% to 11.5%. After receiving stabilized insulin glargine doses during a 4-week lead in, the subjects were randomized to TI or IA. The primary end point was an HbA1C change from baseline, with the differences analyzed by equivalence analyses.ResultsIn the overall cohort (N = 309; males, 23.3%), mean (SD) age was 58.5 (8.4) years, body mass index was 30.8 (4.7) kg/m², weight was 82.2 (13.6) kg, and duration of diabetes was 12.2 (7.1) years. An intention-to-treat cohort had 150 subjects randomized to TI (mean [SD] HbA1C: 8.9% [1.1%]) and 154 randomized to IA (mean [SD] HbA1C: 9.0% [1.3%]). At 24 weeks, mean (SD) HbA1C value declined to 7.9% (1.3%) and 7.7% (1.1%) in the TI and IA cohorts, respectively. A treatment difference of 0.26% was not statistically significant, but the predefined equivalency margin was not met. Subjects receiving TI lost 0.78 kg compared to baseline; subjects receiving IA gained 0.23 kg (P =.0007). The incidence of mild/moderate hypoglycemia was lower for the TI cohort, though not statistically significant.ConclusionBoth TI and IA resulted in significant and clinically meaningful HbA1C reductions. TI also resulted in significant and clinically meaningful weight reductions. These data support the use of inhaled insulin as a treatment option for individuals with type 2 diabetes.     

Efficacy and Safety of Analog Insulin in Comparison With Human Insulin for Hyperglycemia in Hospitalized Patients With Acute Stroke: A Randomized,Open-Label,Single-Center Trial

ObjectiveTo assess the efficacy and safety of analog insulins in comparison with human insulins for hyperglycemia in hospitalized patients with acute stroke.MethodsIn this single-center, open-label, randomized trial, 102 patients (age 59.4 ± 11.7 years, 54 women) admitted with acute stroke (52 ischemic, 50 hemorrhagic) and hyperglycemia were assigned to analog insulin (n = 52) or human insulin (n = 50) group during February to June 2021. Insulin was initiated and titrated according to the predefined standard protocol. The capillary blood glucose (BG) level was monitored by standardized glucometers. The primary outcomes were mean daily BG and the number of hypoglycemic events.ResultsBetween the 2 treatment groups, there was no significant difference in the mean daily BG (P >.05 for all days) or in the frequency of hypoglycemic episodes (P =.727). Four participants experienced severe hypoglycemia; all were receiving human insulin (P =.054). In the analog insulin group, there was a tendency toward lower daily total requirement for insulin (P =.053). The difference in bolus insulin dose was significantly lower in the analog insulin group (P =.029), but the difference in basal insulin dose was similar (P =.167). Between the 2 groups, there were no significant differences in the hospital mortality rate, modified Rankin Scale score on outcome, or length of hospital stay (P =.729,.658, and.918, respectively).ConclusionHospitalized patients acute stroke and hyperglycemia exhibited similar mean BG but a trend of lower incidence of severe hypoglycemia when treated with analog insulins in comparison with human insulin.     

Disparities in Utilization and Outcomes With Continuous Subcutaneous Insulin Infusion in Young Adults With Type 1 Diabetes

ObjectiveTo evaluate which factors determine utilization patterns and outcomes of continuous subcutaneous insulin infusion (CSII) in young adults with type 1 diabetes.MethodsUtilizing the Optum deidentified electronic health record data set between 2008 to 2018 to perform a retrospective cohort study, we identified 2104 subjects with type 1 diabetes aged 18 to 30 years. We evaluated the effect of race on determining CSII utilization, HbA1c (%), and hospital admission for diabetic ketoacidosis (DKA). Crude and adjusted estimates were computed using logistic regression and linear mixed models.ResultsThere was low CSII utilization among individuals who were Black, Hispanic, male, and those with governmental insurance. These groups also demonstrated higher HbA1c levels. Subjects who were Black, Hispanic, and those with governmental insurance had higher odds of DKA. Even when commercially insured, Black and Hispanic subjects demonstrated higher HbA1c levels, and Black individuals had higher odds of DKA.ConclusionIn a large electronic health record database in the U.S., there was low CSII utilization overall, particularly in Black and Hispanic minorities, despite CSII showing superior HbA1c control without an increase in DKA events.     

The Association of Diabetes and Hyperglycemia on Inpatient Readmissions

ObjectiveTo evaluate the association between inpatient glycemic control and readmission in individuals with diabetes and hyperglycemia (DM/HG).MethodsTwo data sets were analyzed from fiscal years 2011 to 2013: hospital data using the International Classification of Diseases, Ninth Revision (ICD-9) codes for DM/HG and point of care (POC) glucose monitoring. The variables analyzed included gender, age, mean, minimum and maximum glucose, along with 4 measures of glycemic variability (GV), standard deviation, coefficient of variation, mean amplitude of glucose excursions, and average daily risk range.ResultsOf 66 518 discharges in FY 2011-2013, 28.4% had DM/HG based on ICD-9 codes and 53% received POC monitoring. The overall readmission rate was 13.9%, although the rates for individuals with DM/HG were higher at 18.9% and 20.6% using ICD-9 codes and POC data, respectively. The readmitted group had higher mean glucose (169 ± 47 mg/dL vs 158 ± 46 mg/dL, P < .001). Individuals with severe hypoglycemia and hyperglycemia had the highest readmission rates. All 4 GV measures were consistent and higher in the readmitted group.ConclusionIndividuals with DM/HG have higher 30-day readmission rates than those without. Those readmitted had higher mean glucose, more extreme glucose values, and higher GV. To our knowledge, this is the first report of multiple metrics of inpatient glycemic control, including GV, and their associations with readmission.     

Evaluation of Lipohypertrophy in Patients With Type 1 Diabetes Mellitus on Multiple Daily Insulin Injections or Continuous Subcutaneous Insulin Infusion

ObjectiveTo determine lipohypertrophy (LH) in patients with type 1 diabetes mellitus (T1DM) on multiple daily insulin injections (MDII) or continuous subcutaneous insulin infusion (CSII) and to reveal the factors associated with the development and severity of LH.MethodsSixty-six patients with T1DM treated with MDII (n = 35, 53%) or CSII (n = 31, 47%) for at least 1 year were included. LH localizations were detected with palpation and ultrasonography (USG).ResultsThe LH detection rate with USG was significantly higher than that by palpation in the whole group (P < .001). The LH was detected with USG in 30 (85.7%) patients in the MDII group and 22 (71.0%) patients in the CSII group (P = .144). Advanced LH was detected in 13 (37.1%) of the patients treated with MDII and in 3 (9.7%) of the patients treated with CSII. LH was more severe in the MDII group than in the CSII group (P = .013). Diabetes duration and length of infusion set use were significantly longer and body mass index, hypoglycemia, and complication rates were higher in patients with LH than those in patients without LH (P < .05). A positive correlation was found between LH severity and HbA1C and insulin dose (P < .05, for both). MDII as insulin administration method, incorrect rotation, and a history of ketosis were found to be the most related factors with LH severity in a multiple linear regression analysis (P < .05).ConclusionUSG might be an effective approach for detecting and evaluating the severity of LH. MDII might cause more severe LH than CSII in patients with T1DM. In this study, LH was found to be associated mostly with incorrect rotation technique and a history of ketosis.     

New Digital Health Technologies for Insulin Initiation and Optimization for People With Type 2 Diabetes

ObjectiveThe health and economic burden of type 2 diabetes is of global significance. Many people with type 2 diabetes eventually need insulin to help reduce their risk of serious associated complications. However, barriers to the initiation and/or optimization of insulin expose people with diabetes to sustained hyperglycemia. In this review, we investigated how new and future technologies may provide opportunities to help overcome these barriers to the initiation and/or optimization of insulin.MethodsA focused literature search of PubMed and key scientific congresses was conducted. Software tools and devices developed to support the initiation and/or optimization of insulin were identified by manually filtering >300 publications and conference abstracts.ResultsMost software tools have been developed for smartphone platforms. At present, published data suggest that the use of these technologies is associated with equivalent or improved glycemic outcomes compared with standard care, with additional benefits such as reduced time burden and improved knowledge of diabetes among health care providers. However, there remains paucity of good-quality evidence. Most new devices to support insulin therapy help track the dose and timing of insulin.ConclusionNew digital health tools may help to reduce barriers to optimal insulin therapy. An integrated solution that connects glucose monitoring, dose recording, and titration advice as well as records comorbidities and lifestyle factors has the potential to reduce the complexity and burden of treatment and may improve adherence to titration and treatment, resulting in better outcomes for people with diabetes.     

Lipohypertrophy and Insulin: An Old Dog That Needs New Tricks

ObjectiveTo review the current status of practical knowledge related to insulin-associated lipohypertrophy (LH) — an accumulation of fatty subcutaneous nodules commonly caused by repeated injections and/or infusions of insulin into the same site.MethodsReview of published literature with additional contributions from leading multidisciplinary experts with the emphasis on clinical aspects including pathophysiology, clinical and economic consequences, diagnosis, prevention and treatment.ResultsLH is the most common dermatologic complication of insulin therapy. Risk factors for the development of lipohypertrophy include repeated delivery of large amounts of insulin into the same location over time, repeated injection trauma to the skin and subcutaneous tissue, and multiple injections using the same needle. Subcutaneous insulin injection in skin areas with lipohypertrophy is associated with reduced pain; however, this problem can interfere with insulin absorption, thereby increasing the likelihood of glucose variability, hypo- and hyperglycemia when a site is changed. Modern visualization technology of the subcutaneous space with ultrasound can demonstrate lipohypertrophy early in the course of its development.ConclusionsThe physiological and psychological consequences of developing insulin lipohypertrophy can be prevented and treated with education focusing on insulin injection techniques.     

COVID-19 May Increase the Risk of Insulin Resistance in Adult Patients Without Diabetes: A 6-Month Prospective Study

ObjectiveDuring the coronavirus disease 2019 (COVID-19) pandemic, exploring insulin resistance and beta-cell activity is important for understanding COVID-19‒associated new-onset diabetes. We assessed insulin sensitivity and fasting insulin secretion in patients with COVID-19 without diabetes on admission and at 3 and 6 months after discharge.MethodsThis 6-month prospective study assessed data from the records of 64 patients without diabetes diagnosed with COVID-19 at Wenzhou Central Hospital, China. Each patient was followed up at 3 and 6 months after discharge. Repeated measures analysis of variance was used to investigate differences in multiple measurements of the same variable at different times. Linear regression analysis was performed to analyze the contributor for changes in the triglyceride-glucose (TyG) index.ResultsFasting C-peptide levels in patients at baseline were lower than the normal range. Compared with the baseline results, patients had significantly elevated fasting C-peptide levels (0.35 ± 0.24 vs 2.36 ± 0.98 vs 2.52 ± 1.11 μg/L; P < .001), homeostasis model assessment for beta-cell function (0.42, interquartile range [IQR] 0.36-0.62 vs 2.54, IQR 1.95-3.42 vs 2.90, IQR 2.02-4.23; P < .001), and TyG indices (8.57 ± 0.47 vs 8.73 ± 0.60 vs 8.82 ± 0.62; P = .006) and decreased fasting glucose levels (5.84 ± 1.21 vs 4.95 ± 0.76 vs 5.40 ± 0.68 mmol/L; P = .003) at the 3- and 6-month follow-up. Male gender, age, interferon-alfa treatment during hospitalization, and changes in total cholesterol and high-density lipoprotein levels were significantly associated with changes in the TyG index.ConclusionOur study provided the first evidence that COVID-19 may increase the risk of insulin resistance in patients without diabetes.