OMIP-101: 27-color flow cytometry panel for immunophenotyping of major leukocyte populations in fixed whole blood.

This 27-color flow cytometry antibody panel allows broad immune-profiling of major leukocyte subsets in human whole blood (WB). It includes lineage markers to identify myeloid and lymphoid cell populations including granulocytes, monocytes, myeloid dendritic cells (mDCs), natural killer (NK) cells, NKT-like cells, B cells, conventional CD4 and CD8 T cells, γδ T cells, mucosa-associated invariant T (MAIT) cells and innate lymphoid cells (ILC). To further characterize each of these populations, markers defining stages of cell differentiation (CCR7, CD27, CD45RA, CD127, CD57), cytotoxic potential (perforin, granzyme B) and cell activation/proliferation (HLA-DR, CD38, Ki-67) were included. This panel was developed for quantifying absolute counts and phenotyping major leukocyte populations in cryopreserved, fixed WB collected from participants enrolled in large multi-site tuberculosis (TB) vaccine clinical trials. This antibody panel can be applied to profile major leukocyte subsets in other sample types such as fresh WB or peripheral blood mononuclear cells (PBMCs) with only minor additional optimization.

The influence of fixation and cryopreservation of cerebrospinal fluid on antigen expression and cell percentages by flow cytometric analysis.

The pauci-cellular nature of cerebrospinal (CSF), particularly ventricular CSF, and the rapid cell death following sampling, incumbers the use of flow cytometric analysis of these samples in the investigation of central nervous system (CNS) pathologies. Developing a method that allows long-term storage and batched analysis of CSF samples without compromising cell integrity is highly desirable in clinical research, given that CSF is often sampled after hours creating logistical difficulties for fresh processing. We examined percentages and relative proportion of peripheral and brain-derived immune cells in cryopreserved and transfix-treated CSF, compared to freshly processed CSF. Cell proportions were more comparable between Fresh and Cryopreserved CSF (mean of differences = 3.19), than between fresh and transfix-treated CSF (mean of differences = 14.82). No significant differences in cell percentages were observed in fresh versus cryopreserved CSF; however significantly lower cell percentages were observed in transfix-treated CSF compared to Fresh CSF [(CD11b++ (p = 0.01), CD4+ (p = 0.001), CD8+ (p = 0.007), NK cells (p = 0.04), as well as CD69+ activation marker (p = 0.001)]. Furthermore, loss of marker expression of various lymphocyte sub-populations were observed in transfix-treated CSF. Cryopreservation is a feasible option for long-term storage of ventricular CSF and allows accurate immunophenotyping of peripheral and brain-derived cell populations by flow cytometry.

Practical Screening for Islet Autoantibodies: The Time Has Come.

KEY TAKEAWAYS: The increasing prevalence of type 1 diabetes (T1D) suggests family physicians will regularly see first-degree relatives of patients with T1D with the genetic propensity for developing T1D. T1D autoantibody screening by family clinicians addresses an important need to identify at-risk individuals early and achieve short- and long-term health benefits. Multiple T1D screening options and programs are available to clinicians that provide patient education, testing, result analysis, follow-up, and opportunity for participation in T1D prevention trials. The provider-patient relationship in family medicine places clinicians in a unique position to provide monitoring and followup crucial to family members with positive autoantibody results.

Real-world persistence, adherence, health care resource utilization, and costs in people with type 2 diabetes switching from a first-generation basal insulin to a second-generation (insulin glargine 300 U/mL) vs an alternative first-generation basal insulin.

BACKGROUND: People with type 2 diabetes (T2D) who change their basal insulin (BI) may have variable persistence with therapy. Compared with first-generation (long-acting) BI analogs (insulin glargine 100U/mL [Gla-100]; insulin detemir [IDet]), second-generation (longer-acting) BI analogs (insulin glargine 300U/mL [Gla-300]; insulin degludec) have similar glycated hemoglobin (HbA1c) attainment and lowered hypoglycemia risk, which could impact treatment persistence. OBJECTIVE: To compare persistence, adherence, health care resource utilization (HRU), and costs for individuals switching from neutral protamine Hagedorn insulin or a first-generation BI analog with either the second-generation BI, Gla-300, or an alternative first-generation BI analog (Gla-100 or IDet). METHODS: We used Optum Clinformatics claims data from adults (aged ≥ 18 years) with T2D who had received BI (neutral protamine Hagedorn, Gla-100, IDet) in the 6-month baseline period, and switched to either Gla-300 or an alternative first-generation BI (Gla-100 or IDet; treatment switch = index date) between April 1, 2015, and August 31, 2019. Participants were followed for 12 months, until plan disenrollment, or until death, whichever occurred first. Cohorts were propensity score matched (PSM) on baseline characteristics. The primary outcome was the proportion who were persistent with therapy at 12 months. Secondary outcomes were adherence (proportion of days covered); change in HbA1c; and all-cause, diabetes-related, and hypoglycemia-related HRU and costs. RESULTS: PSM generated 3,077 participants/group (mean age: 68 years, 52% female). Cohorts were well balanced except for hospitalization, which was adjusted in models as a covariate. During the 12-month follow-up period, participants who received Gla-300 vs first-generation BI had greater persistence with (45.5% vs 42.1%; adjusted P = 0.0001), and adherence to (42.8% vs 38.2%; adjusted P = 0.0006), BI therapy and a statistically larger reduction in HbA1c at 12 months (-0.65% vs -0.45%; adjusted P = 0.0040). The proportion of participants achieving HbA1c less than 8% (47.2% vs 40.9%; P < 0.0001), but not less than 7% (21.2% vs 20.8%), was significantly higher for Gla-300 vs first-generation BI. All-cause (45.3 vs 65.9 per 100 patient-years [P100PY]) and diabetes-related (21.5 vs 29.1 P100PY), but not hypoglycemia-related, hospitalizations (1.0 vs 1.5 P100PY) were significantly (P < 0.0001) lower for Gla-300 vs first-generation BI. Similarly, all-cause (111.9 vs 148.8 P100PY), diabetes-related (54.8 vs 74.2 P100PY), and hypoglycemia-related (2.9 vs 5.7 P100PY) emergency department (ED) visits were significantly lower for Gla-300 (all P < 0.0001). Costs for all-cause hospitalizations and hypoglycemia-related ED visits were significantly lower for Gla-300 vs first-generation BI. Although pharmacy costs were significantly higher for Gla-300 vs first-generation BI, all-cause total health care costs were not significantly different: $41,255 vs $45,316 per person per year, respectively. CONCLUSIONS: In this claims-based analysis of people with T2D receiving BI, switching to Gla-300 was associated with significantly better persistence, adherence, and HbA1c reduction compared with switching to an alternative first-generation BI analog. All-cause HRU was significantly lower; despite significantly higher pharmacy costs, total health care costs were similar. DISCLOSURES: This study was funded by Sanofi US. Medical writing support was provided by Helen Jones, PhD, CMPP, of Evidence Scientific Solutions and funded by Sanofi US. Dr Wright is on the speakers' bureau and sits on the advisory boards for Abbot Diabetes, Bayer, Boehringer Ingelheim, Eli Lilly, and Sanofi; sits on the advisory board for Medtronic; and is a consultant for Abbot Diabetes, Bayer, Boehringer Ingelheim, and Eli Lilly. Dr Malone is on advisory boards for Novartis and Avalere and consults for Pear Therapeutics, Sarepta, and Strategic Therapeutics. Dr Trujillo sits on advisory boards for Novo Nordisk and Sanofi. Drs Gill, Zhou, and Preblick and Mr Li are employees and stockholders of Sanofi. Mr Huse is an employee of Evidera and a contractor for Sanofi. Dr Reid is a speaker and consultant for Novo Nordisk and Sanofi-Aventis and is a consultant for AstraZeneca and Intarcia.

Mycobacterium tuberculosis-Specific T Cell Functional, Memory, and Activation Profiles in QuantiFERON-Reverters Are Consistent With Controlled Infection.

Reversion of immune sensitization tests for Mycobacterium tuberculosis (M.tb) infection, such as interferon-gamma release assays or tuberculin skin test, has been reported in multiple studies. We hypothesized that QuantiFERON-TB Gold (QFT) reversion is associated with a decline of M.tb-specific functional T cell responses, and a distinct pattern of T cell and innate responses compared to persistent QFT+ and QFT- individuals. We compared groups of healthy adolescents (n=~30 each), defined by four, 6-monthly QFT tests: reverters (QFT+/+/-/-), non-converters (QFT-/-/-/-) and persistent positives (QFT+/+/+/+). We stimulated peripheral blood mononuclear cells with M.tb antigens (M.tb lysate; CFP-10/ESAT-6 and EspC/EspF/Rv2348 peptide pools) and measured M.tb-specific adaptive T cell memory, activation, and functional profiles; as well as functional innate (monocytes, natural killer cells), donor-unrestricted T cells (DURT: γδ T cells, mucosal-associated invariant T and natural killer T-like cells) and B cells by flow cytometry. Projection to latent space discriminant analysis was applied to determine features that best distinguished between QFT reverters, non-converters and persistent positives. No longitudinal changes in immune responses to M.tb were observed upon QFT reversion. M.tb-specific Th1 responses detected in reverters were of intermediate magnitude, higher than responses in QFT non-converters and lower than responses in persistent positives. About one third of reverters had a robust response to CFP-10/ESAT-6. Among those with measurable responses, lower proportions of TSCM (CD45RA+CCR7+CD27+) and early differentiated (CD45RA-) IFN-γ-TNF+IL-2- M.tb lysate-specific CD4+ cells were observed in reverters compared with non-converters. Conversely, higher proportions of early differentiated and lower proportions of effector (CD45RA-CCR7-) CFP10/ESAT6-specific Th1 cells were observed in reverters compared to persistent-positives. No differences in M.tb-specific innate, DURT or B cell functional responses were observed between the groups. Statistical modelling misclassified the majority of reverters as non-converters more frequently than they were correctly classified as reverters or misclassified as persistent positives. These findings suggest that QFT reversion occurs in a heterogeneous group of individuals with low M.tb-specific T cell responses. In some individuals QFT reversion may result from assay variability, while in others the magnitude and differentiation status of M.tb-specific Th1 cells are consistent with well-controlled M.tb infection.

Cardiometabolic Risk Reduction: A Review of Clinical Guidelines and the Role of SGLT-2 Inhibitors.

LEARNING OBJECTIVES: At the end of the activity, participants will be able to: • Identify how heart failure (HF), chronic kidney disease (CKD), and type 2 diabetes mellitus (T2DM) and associated cardiovascular (CV) risks are interconnected. • Initiate guideline-recommended therapy to reduce CV risk in patients with HF, CKD, and/or T2DM. • Apply evidence for sodium-glucose cotransporter-2 inhibitors (SGLT-2 inhibitors) to clinical practice, based on recent and emerging trials. • Review evidence suggesting increased incidence and severity of COVID-19 infection in patients with diabetes.

Multidimensional analysis of immune responses identified biomarkers of recent Mycobacterium tuberculosis infection.

The risk of tuberculosis (TB) disease is higher in individuals with recent Mycobacterium tuberculosis (M.tb) infection compared to individuals with more remote, established infection. We aimed to define blood-based biomarkers to distinguish between recent and remote infection, which would allow targeting of recently infected individuals for preventive TB treatment. We hypothesized that integration of multiple immune measurements would outperform the diagnostic performance of a single biomarker. Analysis was performed on different components of the immune system, including adaptive and innate responses to mycobacteria, measured on recently and remotely M.tb infected adolescents. The datasets were standardized using variance stabilizing scaling and missing values were imputed using a multiple factor analysis-based approach. For data integration, we compared the performance of a Multiple Tuning Parameter Elastic Net (MTP-EN) to a standard EN model, which was built to the individual adaptive and innate datasets. Biomarkers with non-zero coefficients from the optimal single data EN models were then isolated to build logistic regression models. A decision tree and random forest model were used for statistical confirmation. We found no difference in the predictive performances of the optimal MTP-EN model and the EN model [average area under the receiver operating curve (AUROC) = 0.93]. EN models built to the integrated dataset and the adaptive dataset yielded identically high AUROC values (average AUROC = 0.91), while the innate data EN model performed poorly (average AUROC = 0.62). Results also indicated that integration of adaptive and innate biomarkers did not outperform the adaptive biomarkers alone (Likelihood Ratio Test χ2 = 6.09, p = 0.808). From a total of 193 variables, the level of HLA-DR on ESAT6/CFP10-specific Th1 cytokine-expressing CD4 cells was the strongest biomarker for recent M.tb infection. The discriminatory ability of this variable was confirmed in both tree-based models. A single biomarker measuring M.tb-specific T cell activation yielded excellent diagnostic potential to distinguish between recent and remote M.tb infection.

Antigen-Specific T-Cell Activation Distinguishes between Recent and Remote Tuberculosis Infection.

Rationale: Current diagnostic tests fail to identify individuals at higher risk of progression to tuberculosis disease, such as those with recent Mycobacterium tuberculosis infection, who should be prioritized for targeted preventive treatment. Objectives: To define a blood-based biomarker, measured with a simple flow cytometry assay, that can stratify different stages of tuberculosis infection to infer risk of disease. Methods: South African adolescents were serially tested with QuantiFERON-TB Gold to define recent (QuantiFERON-TB conversion <6 mo) and persistent (QuantiFERON-TB+ for >1 yr) infection. We defined the ΔHLA-DR median fluorescence intensity biomarker as the difference in HLA-DR expression between IFN-γ+ TNF+Mycobacterium tuberculosis-specific T cells and total CD3+ T cells. Biomarker performance was assessed by blinded prediction in untouched test cohorts with recent versus persistent infection or tuberculosis disease and by unblinded analysis of asymptomatic adolescents with tuberculosis infection who remained healthy (nonprogressors) or who progressed to microbiologically confirmed disease (progressors). Measurements and Main Results: In the test cohorts, frequencies of Mycobacterium tuberculosis-specific T cells differentiated between QuantiFERON-TB- (n = 25) and QuantiFERON-TB+ (n = 47) individuals (area under the receiver operating characteristic curve, 0.94; 95% confidence interval, 0.87-1.00). ΔHLA-DR significantly discriminated between recent (n = 20) and persistent (n = 22) QuantiFERON-TB+ (0.91; 0.83-1.00); persistent QuantiFERON-TB+ and newly diagnosed tuberculosis (n = 19; 0.99; 0.96-1.00); and tuberculosis progressors (n = 22) and nonprogressors (n = 34; 0.75; 0.63-0.87). However, ΔHLA-DR median fluorescent intensity could not discriminate between recent QuantiFERON-TB+ and tuberculosis (0.67; 0.50-0.84). Conclusions: The ΔHLA-DR biomarker can identify individuals with recent QuantiFERON-TB conversion and those with disease progression, allowing targeted provision of preventive treatment to those at highest risk of tuberculosis. Further validation studies of this novel immune biomarker in various settings and populations at risk are warranted.

Practical Guidance on Effective Basal Insulin Titration for Primary Care Providers.

IN BRIEF Basal insulin therapy is well established for glycemic control in patients with diabetes but often is not optimally implemented, leading to poor clinical outcomes and adherence. Primary care providers can and should work together with other members of the diabetes care team to allow for effective titration of basal insulin that involves patients and their caregivers. Adequate guidance and monitoring during the titration process can minimize some of the adverse effects caused by basal insulin administration, while improving glycemic control in a timely manner.

Differentiating Basal Insulin Preparations: Understanding How They Work Explains Why They Are Different.

Since the introduction of insulin as a life-saving agent for patients with type 1 diabetes, insulin preparations have evolved to approximate physiologic insulin delivery profiles to meet prandial and basal insulin needs. While prandial insulins are designed to have quick time-action profiles that minimize postprandial glucose excursions, basal insulins are designed to have a protracted time-action profile to facilitate basal glucose control over 24 h. Given that all insulins have the same mechanism of action at the target tissue level, the differences in time-action profiles are achieved through different mechanisms of protraction, resulting in different behaviors in the subcutaneous space and different rates of absorption into the circulation. Herein, we evaluate the differences in basal insulin preparations based on their differential mechanisms of protraction, and the resulting clinical action profiles. Multiple randomized control trials and real-world evidence studies have demonstrated that the newer second-generation basal insulin analogs, insulin glargine 300 units/mL and insulin degludec 100 or 200 units/mL, provide stable glycemic control with once-daily dosing and are associated with a reduced risk of hypoglycemia compared with previous-generation basal insulin analogs insulin glargine 100 units/mL and insulin detemir. These advantages can lead to decreased healthcare resource utilization and cost. With this collective knowledge, healthcare providers and payers can make educated and well-informed decisions when determining which treatment regimen best meets the needs of each individual patient.Funding: Sanofi US, Inc.

The Relevance of Clinical Pharmacology Studies of Basal Insulins to Primary Care.

Pharmacokinetic (PK) and pharmacodynamic (PD) properties of drugs form the basis for the development of drugs used in everyday clinical practice, such as commonly used insulin products. PK measures the concentration of a drug in the body, and reflects the rates and amounts absorbed and processed. PD is the biologic effect of a drug in the body, including the time-course of when the biologic effect starts, peaks, and ends. While the determination of PK/PD parameters is important and foundational for the development of different insulin products, studies are often complex and can be difficult to translate into real-world clinical practice. In this roundtable, the speakers discuss PK/PD concepts, focusing on the differentiation of basal insulin analogs and their use in individualized diabetes therapy. First, the speakers discuss the euglycemic glucose clamp methodology-the standard technique for evaluating PK/PD of insulin-including how it is performed, what parameters it measures (and how they can be interpreted), and its limitations. Next, the speakers discuss how PK/PD impacts drug development, with particular focus on PK/PD studies used in the development of the second-generation basal insulin analogs insulin glargine 300 U/mL (Gla-300) and insulin degludec. Finally, the speakers discuss how PK/PD data translate into clinical practice, including the relationship between PK/PD and drug efficacy and safety, and how it influences dosing strategies, hypoglycemia risk, and patient education. Further, the speakers discuss how the PK/PD profile of basal insulins can inform primary care providers when selecting appropriate individualized therapy for patients.

Primary Care Management of Patients With Type 2 Diabetes: Overcoming Inertia and Advancing Therapy With the Use of Injectables.

Type 2 diabetes (T2D) is a progressive disease caused by insulin resistance and associated progressive ß-cell functional decline, as well as multiple other related metabolic and pathophysiologic changes. Left unchecked, T2D increases the risk of long-term microvascular and cardiovascular complications and is associated with excess morbidity and mortality. Despite multiple effective options for reducing hyperglycemia, patients are not optimally managed, largely due to delays in appropriate and timely advancement of therapy. Glucagon-like peptide-1 receptor agonists and basal insulin are recommended by treatment guidelines as effective options for advancing therapy to achieve glycemic control. However, injected therapies often face resistance from patients and clinicians. Glucagon-like peptide-1 receptor agonists are associated with weight loss, low risk of hypoglycemia, and potential beneficial cardiovascular effects. The class is recommended for patients across the spectrum of disease severity and represents an attractive option to add to basal insulin therapy when additional control is needed. Newer second-generation basal insulin analogues offer advantages over first-generation basal insulins in terms of lower hypoglycemia rates and greater flexibility in dosing. Incorporating injectable therapy into patient care in a timely manner has the potential to improve outcomes and must not be overlooked. Primary care clinicians play a significant role in managing patients with T2D, and they must be able to address and overcome patient resistance and their own barriers to advancing therapy if optimal treatment outcomes are to be achieved. The purpose of this expert opinion article was to provide a commentary on the key principle of advancing therapy with injectables to control hyperglycemia.

Improved Treatment Engagement Among Patients with Diabetes Treated with Insulin Glargine 300 U/mL Who Participated in the COACH Support Program.

INTRODUCTION: Persistence with basal insulin therapy can be suboptimal, despite recent improvements in insulin formulations and delivery systems. Patient support programs may help increase adherence. This study evaluated the impact of the Toujeo® COACH support program, which provides patients with continuing and individualized education and advice on lifestyle changes, by assessing its effect on number of refills and days on therapy. METHODS: The study population included 1724 patients with diabetes who filled a first prescription for insulin glargine 300 U/mL (Gla-300) between April and December 2015 and received a welcome call from a Guide, and 1724 matched control patients from the Symphony Health Integrated Dataverse® prescription claims database. Control patients received Gla-300 but did not enroll in the program. These patients were matched based on age, gender, location, prior use of insulin, insulin dose, number of concomitant drugs, and copay tier. RESULTS: The COACH and control groups comprised 52% men and 48% women; 22% were aged 18-47 years, 23% were 48-55 years, 27% 56-61 years, and 28% ≥ 62 years. Most (99%) had used insulin in the year before receiving the welcome call. At 6 months, patients in the COACH group had refilled their prescription 3.2 times on average, compared with 2.4 times for control patients (P < 0.0001); at 9 months, the average number of refills was 4.7 and 3.6, respectively (P < 0.0001). The average number of days on therapy at 6 months was 102.2 days in the COACH group and 81.5 days in the control group (P < 0.0001); at 9 months, the average number of days on therapy was 151.9 and 121.6, respectively (P < 0.0001). CONCLUSION: Patients in the COACH program were significantly more likely to refill their prescriptions and stay on therapy. Patient support programs such as the COACH program could be an effective way to help improve diabetes care. FUNDING: Sanofi US, Inc. and McKesson Corporation.

Impact of a structured patient support program on adherence and persistence in basal insulin therapy for type 2 diabetes.

OBJECTIVE: Treatment adherence and persistence are essential to achieving therapeutic goals in diabetes and may be improved by patient support programs (PSPs). The COACH Program was launched in 2015 with the goal of supporting patients with diabetes who are prescribed insulin glargine 300 U/mL (Gla-300). The study objective was to assess the program's impact on persistence and adherence with therapy among patients with type 2 diabetes. RESEARCH DESIGN AND METHODS: A retrospective 12-month analysis was conducted to compare treatment adherence and persistence in patients treated with Gla-300 who actively participated in the COACH PSP versus those who did not enroll using COACH engagement and claims data for the identification period from February 1, 2016 to July 31, 2016. COACH (n=544) and non-COACH (n=544) participants were matched on selected baseline characteristics. RESULTS: COACH participants were more likely to be adherent to (68.0% vs 61.4%, p= 0.0201; OR: 1.81, p=0.0002) and persistent (48.5% vs 42.1%, p= 0.0309; discontinuation HR: 0.60, p<0.0001) with Gla-300 than non-COACH patients during the 12-month follow-up after controlling for clinical confounders. Additionally, both insulin-naive and basal insulin switcher COACH participants, respectively, were more likely to be adherent (OR: 2.25, p=0.0082 and OR: 1.662, p=0.0364) and persistent (discontinuation HR: 0.53, p=0.0054 and HR: 0.67, p=0.0492) than non-COACH patients. Finally, COACH participants with greater level of engagement showed better persistence. CONCLUSION: These data demonstrate that participation and engagement with COACH PSPs are associated with improved persistence and adherence to Gla-300 among patients with type 2 diabetes.

Improved glycaemic control and lower hypoglycaemia risk with reduced prior oral antidiabetes drug therapy in patients with type 2 diabetes treated with insulin glargine 300 U/mL.

AIMS: Data from the EDITION 3 randomized study and the Clinformatics claims database were analysed to determine whether insulin glargine 300 U/mL (Gla-300) could provide insulin-naive patients with type 2 diabetes (T2D) on oral antidiabetes drugs (OADs) with reductions in prior OAD therapy without compromising glycaemic control, and while preserving its known low incidence of hypoglycaemia compared with insulin glargine 100 U/mL (Gla-100). METHODS: Patient-level data from EDITION 3 and de-identified data from the Clinformatics real-world claims database were analysed. RESULTS: At baseline, 70% of patients in EDITION 3 were on a background of ≥2 OADs. Among the 435 and 437 patients who initiated basal insulin with Gla-300 and Gla-100, respectively, at Month 6, 336 (77%) and 338 (77%) were using ≤1 OAD. Adding Gla-300 or Gla-100 similarly allowed for a reduction in background OAD medication in the Clinformatics dataset (N = 6430), such that, at 6 months postbasal insulin initiation, 14% of patients were no longer taking any OADs. In the analysis of the EDITION 3 study, reduction in OAD burden did not compromise glycaemic benefit, and the low incidence of hypoglycaemia associated with Gla-300 compared with Gla-100 was also preserved. Documented symptomatic hypoglycaemia (blood glucose ≤70 mg/dL) occurred in 30.5% vs 41.0% of patients treated with Gla-300 and Gla-100, respectively (P = 0.0442). CONCLUSION: Patients with T2D who initiate basal insulin with Gla-300 could potentially reduce their prior OAD use without compromising glycaemic control and with less hypoglycaemia than with Gla-100.

Higher concentration insulins: an overview of clinical considerations.

Three higher concentration insulin products (insulin lispro 200 units/mL, insulin degludec 200 units/mL, and insulin glargine 300 units/mL) received US Food and Drug Administration (FDA) approval in 2015. Although human regular insulin 500 units/mL (U-500) was approved in 1997, a pen and dedicated U-500 syringe became available in 2016. These products offer more treatment options for the increasing numbers of patients requiring insulin to achieve and maintain glycemic targets. Higher concentration insulins have some unique safety and efficacy considerations. Important considerations when transitioning patients from the 100 unit/mL concentration (U-100) to the higher concentration include bioequivalence, pen dose increments, and pen appearance. Bioequivalent insulins have similar pharmacokinetic properties and no dose adjustments are expected when transitioning from the U-100 to the higher concentration. In contrast, higher concentration insulins with different pharmacokinetic and pharmacodynamic properties compared with the U-100 formulation may require dose adjustments. In order to provide safe and effective therapy to patients with higher daily insulin dose requirements, it is important for healthcare professionals to become very familiar with the characteristics of and differences between each of the higher concentration insulins. This paper highlights differences between the U-100 and higher concentration insulins and focuses on practical aspects of use.

FASTING VERSUS POSTPRANDIAL HYPERGLYCEMIA AS A TREATMENT TARGET TO LOWER ELEVATED HEMOGLOBIN A1C.

OBJECTIVE: Postprandial hyperglycemia (PPHG) may need addressing when glycemic control cannot be maintained in patients with type 2 diabetes mellitus. We investigated whether glycated hemoglobin A1c (A1c) levels ≥7.0% can indicate postprandial defects warranting prandial therapy after optimized basal insulin therapy. METHODS: From 6 clinical trials of insulin glargine treatment, data were pooled from 496 patients with A1c ≥7.0% after 24 weeks. Patient characteristics and clinical outcomes were summarized according to fasting plasma glucose (FPG) target achievement (<130 mg/dL), postprandial blood glucose (PPBG) levels, and PPBG increments (ΔPPBG). Basal and postprandial contributions to hyperglycemia were determined. RESULTS: After 24 weeks of insulin glargine titration, A1c change from baseline was greater in patients with FPG <130 mg/dL versus ≥130 mg/dL (-1.35% versus -1.11%, respectively; P = .0275), but with increased confirmed hypoglycemia rates (blood glucose <70 mg/dL; 4.06 events/patient-year versus 3.31 events/patient-year; P = .0170). However, increased severe hypoglycemia rates were observed in patients with FPG ≥130 mg/dL. At week 24, postprandial contributions to hyperglycemia increased (>60% regardless of PPBG). Patients with high FPG had lower, but substantial, relative postprandial contributions versus patients achieving FPG target. A similar pattern was observed according to whether patients had a ΔPPBG ≥50 mg/dL after any meal. CONCLUSION: After optimized basal insulin therapy, elevated A1c is the most effective indicator of residual PPHG, regardless of existent FPG or PPBG. When confronted with an uncontrolled A1c after reasonable titration of basal insulin, clinicians should be aware of probable postprandial contributions to hyperglycemia and consider prandial therapy.

Patterns of postprandial hyperglycemia after basal insulin therapy: individual and regional differences.

BACKGROUND: Treatment of postprandial hyperglycemia could be needed when basal insulin added to oral therapy does not maintain glycated haemoglobin (HbA1C ) targets in type 2 diabetes mellitus. Knowing individual and regional patterns of postprandial hyperglycemia in this setting might improve therapeutic decisions. METHODS: Patient-level self-monitored blood glucose data were pooled from six studies of insulin glargine for patients with HbA1C ≥ 7.0% after 24 weeks. Percentages of participants with highest daily postprandial blood glucose and greatest postprandial increments after each of the three daily meals were calculated and compared between four geographical regions; USA, Canada, Germany, and other European countries. RESULTS: For 494 participants (mean age 60.1 years, diabetes duration 9.6 years, and BMI 29.8 kg/m(2) ), mean endpoint HbA1C was 7.8%. On insulin glargine treatment, highest postprandial blood glucose most often occurred post-dinner (44% of participants) and greatest postprandial increments post-breakfast (46% of participants) in all regions. Participants with greatest postprandial increments post-breakfast were older and experienced less HbA1C improvement with insulin glargine than those with greatest postprandial increments after other meals. Post-breakfast and post-dinner postprandial blood glucose was higher in the USA and Canada versus Germany, and in the USA versus Other European countries (all p < 0.05). Postprandial increments after dinner were greater in the USA versus all other regions. CONCLUSIONS: Generally, highest postprandial blood glucose follows dinner and greatest postprandial increments follow breakfast. Variations in patient characteristics and eating patterns might underlie differences both within and between regions. Awareness of regional differences and evaluation of an individual's typical eating pattern might facilitate appropriate prandial therapy.

Weight change in patients with type 2 diabetes starting basal insulin therapy: correlates and impact on outcomes.

BACKGROUND: An increase in body weight is a commonly perceived effect of insulin therapy for type 2 diabetes mellitus, and this may serve as a barrier to insulin initiation and usage. OBJECTIVE: To investigate the baseline clinical and demographic factors associated with weight gain during insulin glargine therapy, and the implications of weight change on clinical outcomes. METHODS: This was a retrospective analysis of patient-level data from phase 3 or 4 randomized controlled, treat-to-target (fasting plasma glucose [FPG] ≤ 100 mg/dL) trials evaluating basal insulin glargine for ≥ 24 weeks. The Pearson correlation coefficient and Cochran-Armitage trend statistic were used to calculate the existence of a trend between absolute and relative weight change, and relative glycated hemoglobin (HbA1c) change from baseline; likelihood of achieving target HbA1c < 7.0%; change from baseline FPG; insulin dose requirements; incidence of hypoglycemia; and adverse events. RESULTS: Eleven studies were included, encompassing a total of 2140 patients. Patients starting insulin glargine treatment gained a mean ± standard deviation 1.8 ± 3.7 kg (4.0 ± 8.2 lb). Most patients had limited weight change (± 2.5 kg or 5.5 lb). Younger age, higher baseline HbA1c, and higher baseline FPG were predictive of greater weight gain (P < 0.0001). Those who gained more weight experienced the largest decrease from baseline in HbA1c and FPG. More weight gain was associated with higher insulin dose requirements, an increased risk of experiencing either symptomatic or glucose-confirmed (< 70 mg/dL) hypoglycemia, and more adverse events. Older patients (> 65 years) were less likely to gain weight or to experience glucose-confirmed hypoglycemia, but more likely to experience severe hypoglycemia. CONCLUSIONS: In this retrospective analysis of patient-level data, most patients had a stable weight (defined as ± 2.5 kg) after 24 weeks of insulin glargine, and weight gain varied with patient demographics. Therefore, insulin glargine can be used in these patient groups with type 2 diabetes without expectation of significant weight gain.