Background Haemophilia A carries a substantial healthcare burden, affecting health-related quality of life (HRQoL). The Cost of Haemophilia in Men: a Socioeconomic Survey II (CHESS II), a retrospective real-world study, characterised the burden of haemophilia and its impact on HRQoL and work productivity. The current analysis explored the impact of bleeding events on HRQoL and work productivity in Europe. This analysis focused on data collected from males aged 18 to 64 years with haemophilia A without inhibitors who were receiving replacement factor products or a monoclonal antibody and were not participating in a clinical trial at the time of study recruitment. Descriptive statistics were analysed using scores from EuroQoL’s EQ-5D-5L index and EQ-VAS analogue scale and the Work Productivity and Activity Index Specific Health Problem (WPAI:SHP) percentage scores stratified by the number of annual bleeding events (ABs) 0, 1, 2, 3–4, or ≥ 5. Results Of 918 males with haemophilia A in CHESS II, 318 met inclusion criteria and had data available for HRQoL measures; mean age (SD) was 33.8 (12.1) years and 96% were White. Mean (SD) ABs of 2.7 (2.9) occurred over the preceding 12 months: 20% had 3 or 4 ABs; 17% had ≥ 5 ABs. Mean EQ-5D-5L index scores for patients with 0, 1, 2, 3–4, or ≥ 5 ABs were 0.92, 0.76, 0.76, 0.71, and 0.56, respectively. Mean (SD) EQ-VAS scores were 86.9 (13.6), with 0 ABs versus 69.5 (19.1) for 3 or 4 ABs and 61.2 (17.2) for ≥ 5 ABs. Mean percentage of overall work productivity loss on the WPAI:SHP questionnaire ranged from 9.70 to 0 ABs to 47.65 for ≥ 5 ABs. Conclusions In this European sample of adult men with haemophilia A, HRQoL and work productivity scores were lower among those reporting more AB events. Bleeding burden appears to affect HRQoL and productivity; however, this cross-sectional analysis limits the ability to draw firm conclusions on causality.
Introduction European regulatory authorities request postmarketing safety and efficacy data for factor IX (FIX) products. Aim Collect additional clinical data from routine nonacog alfa use in children aged <6 years with haemophilia B. Methods The EUREKIX registry included retrospective and prospective data collection phases. Safety was assessed via adverse drug reactions (ADRs)/adverse events (AEs) and events of special interest (ESIs) as the primary objective; efficacy was evaluated via annualised bleeding rates (ABRs). Results The retrospective phase comprised 37 subjects. Of these, 25 had severe haemophilia B. One subject experienced 2 ADRs; another experienced 4 ESIs of hypersensitivity. Median ABR in subjects receiving a predominantly on‐demand regimen (prophylaxis <50% of time; n = 11) was 2.0; median ABR was 3.8 in those receiving predominantly prophylactic treatment (prophylaxis ≥50% of time; n = 24). Joint bleeding was infrequent (median ABR, 0.4; n = 35). The prospective phase included 26 subjects, with 17 continuing from the retrospective phase. A total of 20 subjects had severe haemophilia B. Three subjects experienced 7 treatment‐related AEs; 3 experienced 4 ESIs. Median ABR was 4.5 and 1.1 in subjects who received predominantly on‐demand (n = 5) or prophylactic treatment (n = 19), respectively; the overall median ABR for joint bleeding events was 0.0. Conclusions Overall, nonacog alfa treatment effectively controlled bleeding events, with no new safety signals identified. These data support the safety and efficacy of nonacog alfa in routine clinical settings in children aged <6 years.
Background: Both standard half-life (SHL) and extended half-life (EHL) factor replacement products are used to treat patients with hemophilia A (hem-A) and B (hem-B). A comparison of international unit (IU) utilization and expenditures ($USD) was made between patients on SHL and EHL factor replacement products to compare utilization and to determine the impact of switching from an SHL to an EHL product. Methods: De-identified claims data from both the Truven Health MarketScan® Research (Truven) and Optum® Clinformatics® (Optum) US claims databases included male patients with hem-A (Truven from Aug 2014-Apr 2018 and Optum from Aug 2014-Dec 2017) and hem-B (Truven from Jun 2014-Apr 2018 and Optum from Jul 2014-Dec 2017) who had data for at least 3 months of product dispensation. The SHL and EHL groups were compared. A separate "switch" analysis using the Truven database examined expenditures and IUs before and after switching from nonacog-α (SHL) to FIX-Fc (EHL). Descriptive statistics were used and medians reported for expenditures and IUs to accommodate for the skewness of data distribution. Results: Hem-A: The analysis included 896 SHL and 202 EHL patients, including those who switched from an SHL to an EHL product. Quarterly expenditures and IUs dispensed were analyzed. Both the Optum and Truven databases (see Table) demonstrated higher IU dispensation (Optum: 35%, Truven: 50% higher) and expenditures (Optum: 87%, Truven: 117%) associated with EHL products versus SHL products. In the switch analysis, 35 patients switched from nonacog-α to FIX-Fc; median IUs rose from 61,228 to 75,914 [24%] and median expenditures rose from $78,945 to $155,203 [97%]. Hem-B: The analysis included 50 FIX-Fc, 13 FIX-Alb, and 132 nonacog-α patients. Both databases (see Table) demonstrated higher median expenditures for the EHL products compared with nonacog-α (Optum: 179% for FIX-Fc, 189% for FIX-Alb; Truven: 234% for FIX-Fc, 245% for FIX-Alb). The IU results varied in Optum: FIX-Fc was 23% higher than nonacog-α, but FIX-Alb was 9 % lower than nonacog-α. Similarly, in Truven, the IU results varied: IUs were mixed for the SHL product compared with the EHL products: 62% higher for FIX-Fc than nonacog-α, and approximately the same for FIX-Alb and nonacog-α. In the switch analysis, 16 patients switched from nonacog-α to FIX-Fc; median IUs rose from 62,857 (nonacog-α) to 69,816 (FIX-Fc) [11%], while expenditures rose from $75,064 (nonacog-a) to $210,482 (FIX-Fc) [180%]. Conclusions: This analysis in more than 1000 patients, unadjusted for severity of disease or treatment scheme, demonstrated in hem-A that higher IU utilization and expenditures were associated with EHL use compared with SHL use, and in hem-B, that higher expenditures were seen with EHL products, while IU dispensation in some cases decreased, remained the same, or increased. In patients switching from the SHL to an EHL product, higher IU dispensation and expenditures were seen. These real-world data may challenge assumptions regarding typical factor usage and expenditures associated with EHL products in patients with hem-A and hem-B. Additional analyses with adjustment for treatment scheme and disease severity are needed. Table. Table. Disclosures Tortella: Pfizer Inc.: Employment. Chhabra:Pfizer Inc.: Employment. Alvir:Pfizer Inc.: Employment. Rubinstein:Pfizer Inc.: Employment. Young:Pfizer Ltd.: Employment. Fogarty:Pfizer Inc.: Employment.
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