Severe Hypoglycemia and Impaired Awareness of Hypoglycemia Persist in People With Type 1 Diabetes Despite Use of Diabetes Technology: Results From a Cross-sectional Survey

OBJECTIVE

To determine how diabetes technologies, including continuous glucose monitoring (CGM) and automated insulin delivery (AID) systems, impact glycemic metrics, prevalence of severe hypoglycemic events (SHEs), and impaired awareness of hypoglycemia (IAH) in people with type 1 diabetes in a real-world setting within the U.S.

RESEARCH DESIGN AND METHODS

In this retrospective, observational study with cross-sectional elements, participants aged ≥18 years were enrolled from the T1D Exchange Registry/online community. Participants completed a one-time online survey describing glycemic metrics, SHEs, and IAH. The primary objective was to determine the proportions of participants who reported achieving glycemic targets (assessed according to self-reported hemoglobin A1c) and had SHEs and/or IAH. We performed additional subgroup analyses focusing on the impact of CGM and insulin delivery modality.

RESULTS

A total of 2,074 individuals with type 1 diabetes were enrolled (mean ± SD age 43.0 ± 15.6 years and duration of type 1 diabetes 26.3 ± 15.3 years). The majority of participants (91.7%) were using CGM, with one-half (50.8%) incorporating AID. Despite high use of diabetes technologies, only 57.7% reported achieving glycemic targets (hemoglobin A1c <7%). SHEs and IAH still occurred, with ∼20% of respondents experiencing at least one SHE within the prior 12 months and 30.7% (95% CI 28.7, 32.7) reporting IAH, regardless of CGM or AID use.

CONCLUSIONS

Despite use of advanced diabetes technologies, a high proportion of people with type 1 diabetes do not achieve glycemic targets and continue to experience SHEs and IAH, suggesting an ongoing need for improved treatment strategies.

Defining curative endpoints for sickle cell disease in the era of gene therapy and gene editing

A growing number of gene therapy- and gene editing-based treatments for patients with sickle cell disease (SCD) are entering clinical trials. These treatments, designed to target the underlying cause of SCD, have the potential to provide functional cures, which until now were possible only through allogeneic hematopoietic stem cell transplant. However, as these novel approaches advance from early- to late-stage clinical trials, it is essential to identify physiologically and clinically relevant endpoints that can demonstrate the achievement of a functional cure for SCD. Here, we present an overview of the pathophysiology of SCD and current treatment options, review ongoing SCD clinical trials using gene therapy or gene editing approaches, and identify the most relevant endpoints for demonstrating the attainment of a functional cure for SCD.

Psychometric performance of the CFQ-R-8D compared to the EQ-5D-3L and SF-6D in people with cystic fibrosis

OBJECTIVE

This study aimed to compare the psychometric performance of the Cystic Fibrosis Questionnaire-Revised-8 Dimensions (CFQ-R-8D), a new, condition-specific, preference-based measure, with that of generic preference-based measures EQ-5D-3L and Short Form 6 dimensions (SF-6D).

METHODS

Data from three trials of participants with CF aged ≥ 14 years who completed the CFQ-R and EQ-5D-3L or SF-6D were used. Analyses were undertaken to evaluate convergent validity based on correlations with CFQ-R domain scores. Known-group validity was assessed based on percent predicted forced expiratory volume in one second and pulmonary exacerbations. Responsiveness was based on correlation of change and sensitivity to change based on change in symptom severity. Effect sizes and standardized response means were estimated.

RESULTS

CFQ-R-8D utilities and dimensions were strongly correlated with most of the overlapping CFQ-R domain scores (ρ > 0.5); EQ-5D-3L and SF-6D utilities and dimensions had moderate (ρ > 0.3) to strong correlations in dimensions capturing similar concepts. All measures showed evidence of known-group validity (P < 0.05). Change correlations were strong for CFQ-R-8D utilities and dimensions and CFQ-R, but they were moderate for SF-6D and mostly weak ((ρ > 0.1) for EQ-5D-3L. The SF-6D had the largest mean change over time and effect sizes, followed by CFQ-R-8D and then EQ-5D-3L. Neither CFQ-R-8D or SF-6D utility scores had ceiling effects (< 9% responses in full health) compared with those of EQ-5D-3L (61-62%). In participants classified as being in full health by EQ-5D-3L, CFQ-R-8D captured CF-specific health problems, particularly cough, abdominal pain, and breathing difficulty.

CONCLUSIONS

The CFQ-R-8D reflected known-group differences and changes over time with stronger evidence of good psychometric performance than EQ-5D-3L and similar evidence as SF-6D. Additionally, the CFQ-R-8D captured more condition-specific symptoms than EQ-5D-3L or SF-6D, which are important determinants of health-related quality of life for people with CF.

Impact of Elexacaftor/Tezacaftor/Ivacaftor on Healthcare Resource Utilization and Associated Costs Among People With Cystic Fibrosis in the US: A Retrospective Claims Analysis

INTRODUCTION

Cystic fibrosis (CF) is a life-limiting genetic disease caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. Elexacaftor/tezacaftor/ivacaftor (ELX/TEZ/IVA) is a CFTR modulator (CFTRm) that targets the underlying cause of CF. Based on safety and efficacy demonstrated in clinical trials, ELX/TEZ/IVA is approved in the US for the treatment of CF in people aged ≥ 2 years who have ≥ 1 F508del-CFTR mutation or a CFTR mutation that is responsive to ELX/TEZ/IVA based on in vitro data. While ELX/TEZ/IVA demonstrated unprecedented improvements in lung function and dramatic reductions in pulmonary exacerbations (PEx) and associated hospitalizations in clinical trials, a limited number of studies have examined the impact of ELX/TEZ/IVA on healthcare resource utilization (HCRU) and associated costs in a real-world setting. The aim of this retrospective study was to evaluate changes in PEx, HCRU, and associated non-CFTRm healthcare costs following initiation of ELX/TEZ/IVA among people with CF aged ≥ 12 years in the US.

METHODS

We evaluated the rates of PEx, HCRU, and associated costs before and after initiation of ELX/TEZ/IVA in people with CF aged ≥ 12 years using data from the Merative MarketScan® Commercial Claims and Encounters Database and the Merative Multi-State Medicaid Database from April 21, 2019 to December 31, 2020. Because the study period included time following the onset of the COVID-19 pandemic, we limited our primary analysis to the period prior to the pandemic (October 21, 2019 to March 12, 2020). Outcomes following the onset of the pandemic (March 13 to December 31, 2020) were examined in an exploratory analysis.

RESULTS

In both commercially insured and Medicaid-insured people with CF, ELX/TEZ/IVA was associated with reductions in PEx, hospitalizations, and associated costs prior to the COVID-19 pandemic, and these reductions were maintained following the onset of the pandemic.

CONCLUSIONS

These findings suggest that ELX/TEZ/IVA reduces the burden and costs associated with PEx and hospitalizations in people with CF.

Calibration and validation of modeled 5-year survival predictions among people with cystic fibrosis treated with the cystic fibrosis transmembrane conductance regulator modulator ivacaftor using United States registry data

OBJECTIVES

Cystic fibrosis (CF) is a rare genetic disease characterized by life-shortening lung function decline. Ivacaftor, a CF transmembrane conductance regulator modulator (CFTRm), was approved in 2012 for people with CF with specific gene mutations. We used real-world evidence of 5-year mortality impacts of ivacaftor in a US registry population to validate a CF disease-progression model that estimates the impact of ivacaftor on survival.

METHODS

The model projects the impact of ivacaftor vs. standard care in people with CF aged ≥6 years with CFTR gating mutations by combining parametric equations fitted to historical registry survival data, with mortality hazards adjusted for fixed and time-varying person-level characteristics. Disease progression with standard care was derived from published registry studies and the expected impact of ivacaftor on clinical characteristics was derived from clinical trials. Individual-level baseline characteristics of the registry ivacaftor-treated population were entered into the model; 5-year model-projected mortality with credible intervals (CrIs) was compared with registry mortality to evaluate the model's validity.

RESULTS

Post-calibration 5-year mortality projections closely approximated registry mortality in populations treated with standard care (6.4% modeled [95% CrI: 5.3% to 7.6%] vs. 6.0% observed) and ivacaftor (3.4% modeled [95% CrI: 2.7% to 4.4%] vs. 3.1% observed). The model accurately predicted 5-year relative risk of mortality (0.53 modeled [0.47 to 0.60] vs. 0.51 observed) in people treated with ivacaftor vs. standard care.

CONCLUSIONS

Modeled 5-year survival projections for people with CF initiating ivacaftor vs. standard care align closely with real-world registry data. Findings support the validity of modeling CF to predict long-term survival and estimate clinical and economic outcomes of CFTRm.