Characterizing female patients with haemophilia A: Administrative claims analysis and medical chart review.

AIM: Haemophilia A (HA) is a male-predominant disorder, yet women and girls can have factor VIII (FVIII) deficiency with bleeding events requiring treatment. This study aimed to identify and characterize female patients with HA. METHODS: Administrative claims dated 01 January 2012-31 July 2016 were accessed for patients with 18 months' coverage by commercial or Medicare Advantage with Part D insurance. Patients were included by HA diagnoses or treatments and/or bleeding-related diagnoses or procedures, and excluded by haemophilia B or qualitative platelet disorder diagnoses. A sample of charts was examined for bleeding history, HA therapies and bleeding treatments. All-cause healthcare utilization and costs were also described. RESULTS: Among 353 patients meeting initial inclusion criteria, 86 charts were procured, with 8 patients identified as having HA. Their mean age was 60 ± 17 years and most were Medicare-insured. The mean Charlson Comorbidity Index score was 2.50 ± 2.56; the most prevalent comorbid conditions involved coagulation/haemorrhage, fluid/electrolyte balance and non-traumatic joint disorders. Over 18 months, a mean of 54 ambulatory visits and 120 pharmacy fills were observed; mean medical costs were $86 694 and pharmacy costs were $25 396. CONCLUSIONS: Identifying females with HA is challenging using healthcare claims, because diagnostic nomenclature is unclear for female patients treated for bleeding events. Although chart abstraction enhanced claims data, very few female patients were identified with HA. Nevertheless, even in a small sample, sizeable burden in comorbidity and healthcare use was observed. Improved nomenclature and coding for HA diagnoses for women and girls is key to improving research and treatment.

Descriptive study of the economic burden among patients with type 2 diabetes mellitus, chronic kidney disease, and chronic kidney disease and type 2 diabetes mellitus in a large US commercially insured population.

BACKGROUND: Chronic kidney disease (CKD) is a major public health concern that affects 37 million adults in the United States. It is well known that CKD presents a large economic burden, especially in the Medicare population. However, studies of the economic burden of CKD in younger populations are scarce. In particular, there is a gap in understanding how the presence of type 2 diabetes mellitus (T2DM) affects the burden of CKD in commercially insured populations. OBJECTIVE: To describe the economic and health care resource utilization (HCRU) burden of CKD within 3 patient groups (T2DM only, CKD only, and CKD and T2DM) aged 45-64 years overall and by Kidney Disease Improving Global Outcomes (KDIGO) CKD estimated glomerular filtration rate-based stage categories. METHODS: A descriptive, observational retrospective cohort study was conducted using administrative medical and pharmacy claims integrated with laboratory results data available in the HealthCore Integrated Research Database from January 1, 2017, to December 31, 2019. Three mutually exclusive groups of commercially insured patients aged 45-64 years were identified: T2DM only, CKD only, and CKD and T2DM. All-cause and disease-specific HCRU and costs in total, by medical and pharmacy benefits and across all places of service, were described for each of these groups 12 months after index date. For the CKD only and CKD and T2DM groups, costs were also described by KDIGO CKD stage. RESULTS: The CKD and T2DM group (n = 13,052) had numerically higher 12-month post-index all-cause and CKD/T2DM-related HCRU across all places of service. Mean 12-month all-cause costs for this group were $35,649, whereas costs for the CKD only group (n = 7,876) were $25,010 and costs for the T2DM only group (n = 120,364) were $16,121. Costs also tended to increase as CKD stage increased, with the greatest increases beginning at KDIGO stage 3b and higher. Mean 12-month all-cause costs for the CKD and T2DM group ranged from $29,993 to $41,222 for stages 1 to 3a and from $46,796 to $119,944 for stages 3b to 5. CONCLUSIONS: Commercially insured patients aged 45-64 years with CKD, especially those who also have T2DM, present a substantial burden in terms of elevated HCRU and costs. Costs tend to increase across KDIGO CKD stages and increase most rapidly at stage 3b and later. Therefore, there is an opportunity to reduce the burden of CKD in this population by investing in interventions to prevent or delay CKD disease progression. DISCLOSURES: HealthCore, Inc, received funding to perform this research, as well as funding from multiple pharmaceutical companies to perform various research studies outside of the submitted work. Mr Crowe and Dr Willey are employees of HealthCore, Inc., a wholly owned subsidiary of Elevance Health, Inc. Ms Chung was an employee of HealthCore, Inc., a wholly owned subsidiary of Elevance Health, Inc, at the time of study performance. Ms Chung and Dr Willey are shareholders of Elevance Health, Inc. Dr Kong, Dr Singh, Mr Farej, Dr Elliot, and Dr Williamson are employees of Bayer US, LLC. Dr Singh is a shareholder of Bayer US, LLC.

Unmet needs and opportunities for optimal management of patients with type 2 diabetes and chronic kidney disease.

This brief report utilizes EHR data from a large US health system to summarize unmet needs in patients with type 2 diabetes and chronic kidney disease and identifies areas of opportunity to optimize management within this patient population from treatment, screening and monitoring, and health care resource use perspectives.

A Prospective, Observational, Multicenter Study Assessing Adherence to Interferon Beta-1b Therapy and Patient Satisfaction Using the BETACONNECT Auto-Injector.

INTRODUCTION: It is important to achieve good persistence and adherence to disease-modifying therapies (DMTs) to achieve the best outcomes in chronic diseases such as multiple sclerosis (MS). The BETACONNECT device is an electronic auto-injector for the DMT interferon beta-1b (Betaseron), designed to improve patients' injection experience and to monitor adherence. This observational study aimed to assess patient adherence to and persistence with interferon beta-1b therapy as well as patient-reported satisfaction in a US population. METHODS: A prospective, observational, multicenter study was conducted in 146 adult patients with relapsing-remitting MS or clinically isolated syndrome, newly prescribed or currently established on interferon beta-1b therapy and naïve to the BETACONNECT device, and followed up during a 6-month observation period. RESULTS: Among the 91 patients who completed the study, the overall mean adherence rate was 82.5%, with 65.9% of patients adherent for at least 80% for the duration of the 6-month period. At 6 months, 98.9% of patients had less than a 60-day gap in therapy. Of the 115 patients who provided satisfaction data, 90.5% of patients were either very satisfied or satisfied with the BETACONNECT device. CONCLUSION: This study shows that the BETACONNECT device was associated with high adherence to interferon beta-1b therapy in patients with MS. Patients also reported high degrees of satisfaction with the device. Therefore, this may be a viable delivery option to help with adherence and persistence, potentially leading to improved clinical outcomes.

Geographical variation in kidney function testing and associations with health care costs among patients with chronic kidney disease and type 2 diabetes.

OBJECTIVES: Clinical practice guidelines recommend at least annual testing of estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio (uACR) for patients with chronic kidney disease (CKD) and type 2 diabetes (T2D). This study assessed the adequacy of eGFR and uACR testing in this patient population across the United States. STUDY DESIGN: Observational real-world study. METHODS: Adults with CKD and T2D were identified from the Optum Clinformatics database (2015-2019). The eGFR and uACR tests were assessed nationally and by state. The proportions of tested patients and patients receiving adequate monitoring per clinical practice guidelines were analyzed during the 1-year period after T2D and CKD diagnosis, along with all-cause health care costs. RESULTS: Among 101,057 adults with CKD and T2D, 94.1% had at least 1 eGFR test and 38.7% had at least 1 uACR test over 1 year. Only 20.3% of patients had adequate uACR monitoring; this was much lower than observed for adequate eGFR monitoring (86.6%). The eGFR testing rates were high across states (range, 79.5% [Colorado] to 97.3% [Alabama]); conversely, uACR testing rates were uniformly lower and showed wider variation (range, 14.0% [Maine] to 58.9% [Hawaii]). Mean annual all-cause health care costs were $28,636 and increased with CKD GFR stage. Lower uACR testing rates were associated with higher health care costs at the state level (Pearson r = -0.55; P < .01). CONCLUSIONS: In the United States, uACR testing is underutilized, with large geographical variations in testing rates noted between states. Lower uACR testing rates were associated with higher health care costs. The lack of sufficient uACR testing raises concerns about CKD management in patients with T2D.

CKD Prevalence Among Patients With and Without Type 2 Diabetes: Regional Differences in the United States.

RATIONALE & OBJECTIVE: Regional variation in chronic kidney disease (CKD) prevalence in patients with or without type 2 diabetes mellitus (T2DM) has not been well characterized. STUDY DESIGN: Spatial and temporal comparative analysis. SETTING & PARTICIPANTS: MarketScan databases were used to identify patients with CKD overall and subgroups of patients with CKD with and without T2DM in the United States. OUTCOMES: Spatial patterns in CKD prevalence based on year, regional clusters of CKD between years, and characteristics of patients in high-prevalence states. ANALYTICAL APPROACH: Geomapping was used to visualize the state-level data of CKD prevalence generated from 2013 to 2018. We used univariate local indicators of spatial association (LISA) to evaluate geographic differences in prevalence, differential LISA for changes in CKD prevalence over time, and the χ2 test to identify patient characteristics in the top-20th percentile states for the prevalence of CKD. RESULTS: In univariate LISA, low-low clusters, in which a state has a low CKD prevalence and the surrounding states have a below-average CKD prevalence, were observed in the northwest region throughout the study period, regardless of the T2DM status, indicating a consistently low prevalence of CKD clustered in these areas. High-high clusters were observed, regardless of the T2DM status, in the southeast region in more recent years, suggesting an increased CKD prevalence in this region. LIMITATIONS: Health care insurance enrollment might not have been representative of the United States; the estimates were based on claims data that likely underestimated the true prevalence. CONCLUSIONS: Geographic disparities in CKD prevalence appear increasingly magnified, with an increase in the southeastern region of the United States. This increase is especially problematic because patients with CKD in high-prevalence states experience a greater likelihood of chronic conditions than those in the rest of the United States.

Development of clinical prediction models for renal and cardiovascular outcomes and mortality in patients with type 2 diabetes and chronic kidney disease using time-varying predictors.

AIMS: To develop a set of prediction models for end-stage kidney disease (ESKD), cardiovascular outcomes, and mortality in patients with type 2 diabetes (T2D) and chronic kidney disease (CKD) using commonly measured clinical variables. METHODS: We studied 1432 participants with T2D and CKD enrolled in the Chronic Renal Insufficiency Cohort, followed for a median period of 7 years. We used Cox proportional-hazards models to model the six outcomes (ESKD, stroke, myocardial infarction (MI), congestive heart failure (CHF), death before ESKD, and all-cause mortality). We internally evaluated these models using concordance and calibration measures. RESULTS: The newly developed six prediction models included 15 predictors: age at diabetes diagnosis, sex, blood pressure, body mass index, hemoglobin A1c, high density lipoprotein cholesterol, urine protein-to-creatinine ratio, estimated glomerular filtration rate, smoking status, and history of stroke, MI, CHF, ESKD, and amputation. The resulting models demonstrated good/strong discrimination (cross-validation C-index range: 0.70 to 0.90) and calibration. CONCLUSIONS: This study provided an internally validated and useful tool for predicting individual adverse outcomes and mortality in patients with T2D and CKD. These models may inform optimal use of targeted health interventions.

Budget impact analysis of darolutamide for treatment of nonmetastatic castration-resistant prostate cancer.

BACKGROUND: Darolutamide, a structurally distinct androgen receptor inhibitor approved for the treatment of men with nonmetastatic castration-resistant prostate cancer (nmCRPC), has been shown to increase metastasis-free survival among men with nmCRPC compared with placebo. This treatment has a novel chemical structure that may also have safety, tolerability, and efficacy advantages for men with nmCRPC. OBJECTIVE: To estimate the projected budget impact of including darolutamide on a U.S. payer formulary as a treatment option for men with nmCRPC. METHODS: A budget impact model was developed to evaluate darolutamide for nmCRPC for a hypothetical 1-million-member plan over a 5-year period. Costs (drug acquisition, drug administration, and treatment-related adverse events [AEs]) were estimated for 2 scenarios: with and without darolutamide treatment for nmCRPC. The budget impact of darolutamide was calculated as the difference in costs for these 2 scenarios. An analysis for high-risk nmCRPC also was conducted. The model included treatments recommended by the National Comprehensive Cancer Network (e.g., apalutamide and enzalutamide) and potential comparators that are used but are not specifically indicated for nmCRPC. All treatments were assumed to be administered in combination with a weighted average androgen deprivation therapy comparator (consisting of luteinizing hormone-releasing hormone [LHRH] agonists, LHRH antagonists, and first-generation antiandrogens). Market share estimates were derived from interviews with physicians treating men with nmCRPC. The model includes grade 3-4 AEs, and the rates were obtained from clinical trial data. Costs were taken from publicly available sources and varied in a one-way sensitivity analysis. RESULTS: For a plan with 1 million lives, there were approximately 90 incident cases of nmCRPC (46 high risk) each year, with 332 (109 high risk) treatment-eligible cases by year 5. Darolutamide's market share increased from 3.6% in year 1 to 18% in year 5. Given the utilization of other agents, introducing darolutamide along with other targeted therapies was predicted to increase the total budget by $158,640 ($0.0132 per member per month [PMPM]) in year 1, which decreased over time to a cost savings of $149,240 ($0.0124 PMPM) by year 5. The scenario with darolutamide showed reduced AE costs each year. Similar results were observed for the high-risk nmCRPC population. CONCLUSIONS: Adding darolutamide to a U.S. payer formulary for the treatment of nmCRPC can result in a manageable increase in the budget that is partly offset by AE costs in the first 4 years, followed by a cost savings by year 5. DISCLOSURES: This study was conducted by RTI Health Solutions under the direction of Bayer U.S. and was funded by Bayer U.S., which was involved in the design of the study; collection, analysis, and interpretation of the data; writing of the report; and the decision to submit the report for publication. Miles and Purser (and/or their institutions) are employees of RTI Health Solutions and received research funding from Bayer U.S. to develop the budget impact model. Appukkuttan and Farej are employees of Bayer U.S. Wen was an employee of Bayer U.S. at the time of the study. This study was presented as a poster at the AMCP Virtual Learning Event, April 20-24, 2020.