Effect of emicizumab prophylaxis on bone and joint health markers in people with haemophilia A without factor VIII inhibitors in the HAVEN 3 study

Anna Kiialainen, Markus Niggli, Christine L Kempton, Giancarlo Castaman, Tiffany Chang, Ido Paz-Priel, Joanne I Adamkewicz, Gallia G Levy, Anna Kiialainen, Markus Niggli, Christine L Kempton, Giancarlo Castaman, Tiffany Chang, Ido Paz-Priel, Joanne I Adamkewicz, Gallia G Levy

Abstract

Introduction: Emicizumab prophylaxis significantly reduces bleeding events; however, the associated impact on bone/joint health is unknown.

Aim: To explore the effect of emicizumab prophylaxis on bone/joint health in people with haemophilia A (PwHA) without FVIII inhibitors enrolled in HAVEN 3 (NCT02847637).

Methods: Haemophilia joint health scores (HJHS; v2.1) were evaluated at baseline and Weeks 49 and 97 in PwHA receiving emicizumab (n = 134), and at baseline and Weeks 49, 73 and 97 in PwHA who switched to emicizumab after 24 weeks of no prophylaxis (n = 17). Bone and joint biomarkers were measured in 117 PwHA at baseline and at Weeks 13, 25, 49 and 73.

Results: HJHS was lower for PwHA who were previously on FVIII prophylaxis, aged <40 years or had no target joints at baseline compared with PwHA who were receiving no prophylaxis, aged ≥40 years or with target joints. Clinically significant mean (95% confidence interval) improvements from baseline of -2.13 (-3.96, -.29) in HJHS joint-specific domains were observed at Week 49 in PwHA with at least one target joint at study entry (n = 71); these changes were maintained through Week 97. Improvements in HJHS from baseline were also observed for PwHA aged 12-39 years. Biomarkers of bone resorption/formation, cartilage degradation/synthesis, and inflammation did not change significantly during emicizumab prophylaxis.

Conclusions: Clinically relevant improvements in HJHS were observed in younger PwHA and those with target joints after 48 weeks of emicizumab in HAVEN 3. Biomarkers of bone/joint health did not show significant changes during 72 weeks of emicizumab prophylaxis.

Keywords: biomarkers; bone; emicizumab; factor VIII; haemophilia A; joints; prophylaxis.

Conflict of interest statement

A.K. is an employee of F. Hoffmann‐La Roche Ltd and holds stock in the company. M.N. is an employee of F. Hoffmann‐La Roche Ltd. C.K. has received honoraria for participation in advisory boards for Sanofi US, Takeda, Genentech, Inc. and Spark Therapeutics. G.C. has received honoraria from uniQure, Bayer, Sobi, CSL Behring, Novo Nordisk, Kedrion, LFB, Grifols, Werfen, BioMarin, Sanofi, Takeda, and F. Hoffmann‐LaRoche Ltd. T.C. is an employee of Spark Therapeutics, a member of the Roche Group, and a former employee of Genentech, Inc., and holds stock in F. Hoffmann‐La Roche Ltd. I.P‐P. is a former employee of Genentech, Inc. J.A. is an employee of Genentech, Inc., a member of the Roche Group and holds stock in F. Hoffmann‐ La Roche Ltd. G.L. is a former employee of Genentech, Inc., holds stock in F. Hoffmann‐LaRoche Ltd and is a current employee of Spark Therapeutics.

© 2022 The Authors. Haemophilia published by John Wiley & Sons Ltd.

Figures

FIGURE 1
FIGURE 1
Proportion of HAVEN 3 participants with HJHS scores * at baseline and individual baseline HJHS scores by, target joint status (A), participant age (B) and previous treatment (C). The HJHS 2.1 consists of eight item scores on joint level and a global gait score. Scores range from 0 to 20 per joint and the global gait score ranges from 0 to 4, resulting in a HJHS total score (0–124); a higher score indicates worse joint health. *A cut‐off score of 11 was used (median in the FVIII prophylaxis population based on the data collected). FVIII, factor VIII; HJHS, haemophilia joint health score; PwHA, people with haemophilia A
FIGURE 2
FIGURE 2
Mean improvement from baseline in total HJHS (including gait score) after 48, 96 and 97/LOCF weeks of emicizumab prophylaxis in evaluable HAVEN 3 participants with versus without target joints (A) and participants aged n = 90 participants with ≥1 target joint), 15.9 (16.8; for n = 43 participants with no target joints), 14.8 (13.5; for n = 78 participants aged <40 years) and 33.4 (22.9; for n = 55 participants aged ≥40 years). (A) and (B) exclude Arm C and include only those with an evaluable HJHS score at both baseline and Weeks 49 and 97. CI, confidence interval; HJHS, haemophilia joint health score; LOCF, last observation carried forward; MMRM, mixed‐effect model repeated measure; PwHA, people with haemophilia A; SD, standard deviation
FIGURE 3
FIGURE 3
Change in biomarker concentration from baseline until after 72 weeks of emicizumab prophylaxis. Trend lines correspond to total population; all participants included in Arms A and B were aged ≥18 years. OPG and sRANKL are essential for regulation of bone remodelling and exert their effect by controlling the activation state of RANK on osteoclasts; as such, the ratio of these biomarkers (OPG/sRANKL ratio) enables consideration of possible synergistic effects. COMP, cartilage oligomeric matrix protein; CS846, aggrecan chondroitin sulphate epitope 846; CTX‐I, C‐terminal telopeptide of type I collagen; CTX‐II, C‐terminal telopeptide of type II collagen; IL, interleukin; OC, osteocalcin; OPG, osteoprotegerin; P1NP, N‐terminal pro‐peptide of type I procollagen; sRANKL, soluble receptor activator of nuclear factor‐κβ; TNFα, tumour necrosis factor alpha

References

    1. Cavazza M, Kodra Y, Armeni P, et al. Social/economic costs and quality of life in patients with haemophilia in Europe. Eur J Health Econ. 2016;17(1):53‐65.
    1. Kuijlaars IAR, Timmer MA, de Kleijn P, Pisters MF, Fischer K. Monitoring joint health in haemophilia: factors associated with deterioration. Haemophilia. 2017;23(6):934‐940.
    1. Gerstner G, Damiano ML, Tom A, et al. Prevalence and risk factors associated with decreased bone mineral density in patients with haemophilia. Haemophilia. 2009;15(2):599‐565.
    1. Ekinci O, Demircioglu S, Dogan A, Merter M, Yildiz S, Demir C. Decreased bone mineral density and associated factors in severe haemophilia A patients: a case‐controlled study. Haemophilia. 2019;25(5):e315‐e321.
    1. Paschou SA, Anagnostis P, Karras S, et al. Bone mineral density in men and children with haemophilia A and B: a systematic review and meta‐analysis. Osteoporos Int. 2014;25:2399‐2407.
    1. Goldscheitter G, Lattimore S, Taylor JA. Decreased skeletal health negatively impacts quality of life of people with hemophilia. Blood. 2018;132 (Suppl. 1):1207.
    1. Wang H, Bai X. Mechanisms of bone remodelling disorder in hemophilia. Semin Thromb Hemost. 2021;47(1):43‐52.
    1. Srivastava A, Santagostino E, Dougall A, et al. WFH guidelines for the management of hemophilia. Haemophilia. 2020;26(6):1‐158.
    1. Manco‐Johnson M, Soucie JM, Gill JC. Joint outcomes committee of the universal data collection. US hemophilia treatment center network. Prophylaxis usage, bleeding rates, and joint outcomes of hemophilia 1999 to 2010: a surveillance project. Blood. 1999;129:2368‐2374.
    1. Rodriguez‐Merchan EC, Valentino LA. Increased bone resorption in hemophilia. Blood Rev. 2019;33:6‐10.
    1. Cafuir L, Kruse‐Jarres R, Mancuso ME, Kempton C. Emicizumab for hemophilia A without inhibitors. Expert Rev Hematol. 2019;12:515‐524.
    1. Kitazawa T, Igawa T, Sampei Z, et al. A bispecific antibody to factors IXa and X restores factor VIII hemostatic activity in a hemophilia A model. Nat Med. 2012;18(10):1570‐1574.
    1. Mahlangu J, Oldenburg J, Paz‐Priel I, et al. Emicizumab prophylaxis in patients who have hemophilia A without inhibitors. N Engl J Med. 2018;379(9):811‐822.
    1. Feldman BM, Funk S, Hilliard P, et al. Hemophilia Joint Health Score (HJHS) 2.1. 2011.
    1. Kudlacek S, Schneider B, Woloszczuk P, Pietschmann P, Willvonseder R. Austrian study group on normative values of bone metabolism. Serum levels of osteoprotegerin increase with age in a healthy adult population. Bone. 2003;32:681‐686.
    1. Papassava M, Nakou I, Siomou E, Cholevas V, Challa A, Tzoufi M. Vitamin D supplementation and bone markers in ambulatory children on long‐term valprioc acid therapy. A prospective interventional study. Epilepsy Behav. 2019;97:192‐196.
    1. Severino RM, Jorge PB, Martinelli MO, de Lima MV, Severino NR, Duarte Junior A. Analysis on the serum levels of the biomarker CTX‐II in professional indoor soccer players over the course of one season. Rev Bras Ortop. 2015;50:331‐335.
    1. Brayda‐Bruno M, Viganò M, Cauci S, et al. Plasma vitamin D and osteo‐cartilaginous markers in Italian males affected by intervertebral disc degeneration: focus on seasonal and pathological trend of type II collagen degradation. Clin Chim Acta. 2017;471:87‐93.
    1. Friedrich MJ, Wimmer MD, Schmolders J, et al. RANK‐ligand and osteoprotegerin as biomarkers in the differentiation between periprosthetic joint infection and aseptic prosthesis loosening. World J Orthop. 2017;8(4):342‐349.
    1. Young G, Liesner R, Chang T, et al. A multicenter, open‐label, phase 3 study of emicizumab prophylaxis in children with hemophilia A with inhibitors. Blood. 2019;134(24):2127‐2138.
    1. Oldenburg J, Mahlangu JN, Kim B, et al. Emicizumab prophylaxis in hemophilia A with inhibitors. N Engl J Med. 2017;377(9):809‐818.
    1. Pipe S, Shima M, Lehle M, et al. Efficacy, safety, and pharmacokinetics of emicizumab prophylaxis given every 4 weeks in people with haemophilia A (HAVEN 4): a multicentre, open‐label, non‐randomised phase 3 study. Lancet Haematol. 2019;6(6):E295‐E305.
    1. Callaghan M, Negrier C, Paz‐Priel I, et al. Long‐term outcomes with emicizumab prophylaxis for hemophilia A with or without FVIII inhibitors from the HAVEN 1–4 studies. Blood. 2021;137(16):2231‐2242.
    1. Skinner MW, Negrier C, Paz‐Priel I, et al. The effect of emicizumab prophylaxis on long‐term, self‐reported physical health in persons with haemophilia A without factor VIII inhibitors in the HAVEN 3 and HAVEN 4 studies. Haemophilia. 2021;27:854‐865.
    1. Oldenburg J, Zimmermann R, Katsarou O, et al. Controlled, cross‐sectional MRI evaluation of joint status in severe haemophilia A patients treated with prophylaxis vs. on demand. Haemophilia. 2015;21(2):171‐179.
    1. Gringeri A, Lundin B, von Mackensen S, Mantovani L, Mannucci PM, Group TES. A randomized clinical trial of prophylaxis in children with hemophilia A (the ESPIRIT study). J Thromb Haemost. 2011;9:700‐710.
    1. Bladen M, Main E, Hubert N, Koutoumanou E, Liesner R, Khair K. Factors affecting the haemophilia joint health score in children with severe haemophilia. Haemophilia. 2013;19:626‐631.
    1. Nijdam A, Foppen W, De Klejin P, et al. Discontinuing early prophylaxis in severe haemophilia leads to deterioration of joint status despite low bleeding rates. Thromb Haemost. 2016;115(5):931‐938.
    1. Oldenburg J, Zimmermann R, Katsarou O, et al. Potential biomarkers of haemophilic arthropathy: correlations with compatible additive magnetic resonance imaging scores. Haemophilia. 2016;22:760‐764.
    1. Bayer M. Reference values of osteocalcin and procollagen type 1 N‐propeptide plasma levels in a healthy Central European population aged 0–18 years. Osteoporos Int. 2014;25:729‐736.
    1. Rauchenzauner M, Schmid A, Heinz‐Erian P, et al. Sex‐ and age‐specific references curves for serum markers fo bone turnover in healthy children from 2 months to 18 years. J Clin Endocrinol Metab. 2007;92:443‐449.
    1. Qvist P, Christgau S, Pedersen BJ, Schlemmer A, Christiansen C. Circadian variation in the serum concentration of C‐terminal telopeptide of type I collagen (serum CTX): effects of gender, age, menopausal status, posture, daylight, serum cortisol, and fasting. Bone. 2002;31:57‐61.
    1. Mouritzen U, Christgau S, Lehmann HJ, Tanko LB, Christiansen C. Cartilage turnover assessed with a newly developed assay measuring collagen type II degradation products: influence of age, sex, menopause, hormone replacement therapy, and body mass index. Ann Rheum Dis. 2003;62:332‐336.
    1. Midtby M, Magnus JH, Joakimsen RM. The Tromsø study: a population‐based study on the variation in bone formation markers with age, gender, anthropometry and season in both men and women. Osteoporos Int. 2001;12:835‐843.
    1. Greenblatt MB, Tsai JN, Wein MN. Bone turnover markers in the diagnosis and monitoring of metabolic bone disease. Clin Chem. 2017;63:464‐474.
    1. Gong Y, Liang S, Zeng L, Ni Y, Zhou S, Yuan X. Effects of blood sample handling procedures on measurable interleukin 6 in plasma and serum. JCLA. 2019;33:e22924‐e22931.

Source: PubMed

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