Literature DB >> 30091822

Real-world comparative analysis of bleeding complications and health-related quality of life in patients with haemophilia A and haemophilia B.

Jason Booth1, Abiola Oladapo1, Shaun Walsh2, Jamie O'Hara3, Liz Carroll4, Daniel-Anibal Garcia Diego5,6, Brian O'Mahony7.   

Abstract

INTRODUCTION: Clinical severity and impact of haemophilia on quality of life have been generally considered to be lower for haemophilia B (HB) compared with haemophilia A (HA) patients. AIMS: To compare annual bleeding rate (ABR), target joint development and health-related quality of life (HRQoL) between adult (≥18 years) severe HA and HB patients using recent data from the Cost of Haemophilia in Europe: a Socioeconomic Survey (CHESS) study.
METHODS: Multivariate generalized linear models (GLM) were constructed to assess the relationship between haemophilia type, ABR, HRQoL (derived from EQ-5D index scores) and the presence of target joints while controlling for covariates.
RESULTS: Of the 1225 patients included, 77% (n = 949) had HA and 23% (n = 278) had HB. Of the 514 patients who completed the EQ-5D, 78% (n = 405) had HA, and 22% (n = 110) had HB. Unadjusted mean ABR was 3.79 in HA and 4.60 in HB. The presence of ≥1 target joint was reported in 59% and 54% of patients with HA and HB, respectively. Unadjusted mean EQ-5D index score was 0.78 in HA and 0.76 in HB. Haemophilia type was not a significant predictor of ABR, target joints or HRQoL when adjusted for confounding factors such as BMI, age and replacement therapy regimen.
CONCLUSION: Data suggest comparable ABR, incidence of target joints and HRQoL between patients with HB and HA indicating comparable clinical severity and disease impact on patient quality of life.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  annual bleed rate; haemophilia type (A & B); target joints, health-related quality of life

Mesh:

Year:  2018        PMID: 30091822     DOI: 10.1111/hae.13596

Source DB:  PubMed          Journal:  Haemophilia        ISSN: 1351-8216            Impact factor:   4.287


  3 in total

1.  Predictive Modeling Identifies Total Bleeds at 12-Weeks Postswitch to N8-GP Prophylaxis as a Predictor of Treatment Response.

Authors:  Pratima Chowdary; Kingsley Hampton; Victor Jiménez-Yuste; Guy Young; Soraya Benchikh El Fegoun; Aidan Cooper; Erik Scalfaro; Andreas Tiede
Journal:  Thromb Haemost       Date:  2021-12-05       Impact factor: 6.681

2.  Clinical, humanistic, and economic burden of severe haemophilia B in adults receiving factor IX prophylaxis: findings from the CHESS II real-world burden of illness study in Europe.

Authors:  Tom Burke; Sohaib Asghar; Jamie O'Hara; Margaret Chuang; Eileen K Sawyer; Nanxin Li
Journal:  Orphanet J Rare Dis       Date:  2021-12-20       Impact factor: 4.123

3.  Examining patient and professional perspectives in the UK for gene therapy in haemophilia.

Authors:  Ione Woollacott; George Morgan; Pratima Chowdary; Jamie O'Hara; Bethany Franks; Eline van Overbeeke; Nicola Dunn; Sissel Michelsen; Isabelle Huys; Antony Martin; Matthew Cawson; Jack Brownrigg; Ian Winburn; Jim Thomson
Journal:  Haemophilia       Date:  2022-04-19       Impact factor: 4.263

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.