Literature DB >> 20331947

Burden of disease resulting from hemophilia in the U.S.

Azfar-e-Alam Siddiqi1, Shahul H Ebrahim, J Michael Soucie, Christopher S Parker, Hani K Atrash.   

Abstract

BACKGROUND: Hemophilia is a hereditary bleeding disorder. Its complications can result in substantial morbidity, but few efforts have been made to quantify the disease burden.
PURPOSE: The objective of this analysis was to estimate the burden of disease due to hemophilia (A and B) in the U.S., using disability-adjusted life years (DALY).
METHODS: The approach taken by the WHO in its Global Burden of Disease study was followed. Assumptions were drawn from published literature, and population estimates from the U.S. Census Bureau for the Year 2007 were used. Estimations of years of life lost resulting from mortality (YLL) and years of life lost resulting from morbidity (YLD) were done separately by gender, 5-year age intervals, and severity of disease (morbidity only) with their sum representing DALYs. Disability weights were derived from the quality-of-life tool EuroQol (EQ-5D). The stability of burden estimates was tested by performing sensitivity analyses, changing one assumption at a time.
RESULTS: In the U.S. in 2007, hemophilia resulted in 110,095 DALYs, composed of 13,418 YLLs and 96,677 YLDs. Large differences between men/boys (107,346) and women/girls (2749) were observed, given that females are genetic carriers of the disorder and rarely present with disease. Sensitivity analyses revealed a relatively robust estimate with a maximum variation of 4.49%.
CONCLUSIONS: This first estimate of hemophilia-related DALYs in the U.S. indicates that control of hemophilia can potentially result in a gain of 1 healthy year of life for every 2700 people in the population. Published by Elsevier Inc.

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Year:  2010        PMID: 20331947     DOI: 10.1016/j.amepre.2009.12.016

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  11 in total

Review 1.  Estimates of utility weights in hemophilia: implications for cost-utility analysis of clotting factor prophylaxis.

Authors:  Scott D Grosse; Shraddha S Chaugule; Joel W Hay
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2015-01-14       Impact factor: 2.217

2.  Health care resource utilization and cost burden of hemophilia B in the United States.

Authors:  Tyler W Buckner; Iryna Bocharova; Kaitlin Hagan; Arielle G Bensimon; Hongbo Yang; Eric Q Wu; Eileen K Sawyer; Nanxin Li
Journal:  Blood Adv       Date:  2021-04-13

3.  Public health surveillance of nonmalignant blood disorders.

Authors:  Michele G Beckman; Mary M Hulihan; Vanessa R Byams; Meredith A Oakley; Nimia Reyes; Sean Trimble; Althea M Grant
Journal:  Am J Prev Med       Date:  2014-09-19       Impact factor: 5.043

4.  Social/economic costs and quality of life in patients with haemophilia in Europe.

Authors:  Marianna Cavazza; Yllka Kodra; Patrizio Armeni; Marta De Santis; Julio López-Bastida; Renata Linertová; Juan Oliva-Moreno; Pedro Serrano-Aguilar; Manuel Posada-de-la-Paz; Domenica Taruscio; Arrigo Schieppati; Georgi Iskrov; László Gulácsi; Johann Matthias Graf von der Schulenburg; Panos Kanavos; Karine Chevreul; Ulf Persson; Giovanni Fattore
Journal:  Eur J Health Econ       Date:  2016-04-05

5.  Burden of disease resulting from chronic mountain sickness among young Chinese male immigrants in Tibet.

Authors:  Tao Pei; Xiaoxiao Li; Fasheng Tao; Haotong Xu; Haiyan You; Linlin Zhou; Yan Liu; Yuqi Gao
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Review 6.  Clinical and laboratory approaches to hemophilia a.

Authors:  Hassan Mansouritorghabeh
Journal:  Iran J Med Sci       Date:  2015-05

7.  The health and economic burden of haemophilia in Belgium: a rare, expensive and challenging disease.

Authors:  Séverine Henrard; Brecht Devleesschauwer; Philippe Beutels; Michael Callens; Frank De Smet; Cedric Hermans; Niko Speybroeck
Journal:  Orphanet J Rare Dis       Date:  2014-03-21       Impact factor: 4.123

8.  Medical expenditure for patients with hemophilia in urban China: data from medical insurance information system from 2013 to 2015.

Authors:  Guang-Wen Gong; Ying-Chun Chen; Peng-Qian Fang; Rui Min
Journal:  Orphanet J Rare Dis       Date:  2020-06-05       Impact factor: 4.123

9.  Barriers to effective diagnosis and management of a bleeding patient with undiagnosed bleeding disorder across multiple specialties: results of a quantitative case-based survey.

Authors:  Mark T Reding; David L Cooper
Journal:  J Multidiscip Healthc       Date:  2012-10-26

10.  The impact of extended half-life versus conventional factor product on hemophilia caregiver burden.

Authors:  Carolyn E Schwartz; Victoria E Powell; Jun Su; Jie Zhang; Adi Eldar-Lissai
Journal:  Qual Life Res       Date:  2018-02-01       Impact factor: 4.147

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