Mortality Cost of Duchenne Muscular Dystrophy
Author(s) -
Erik Landfeldt,
Michelle Eagle,
Volker Straub,
Hanns Lochmüller,
K. Bushby,
Peter Lindgren
Publication year - 2017
Publication title -
global and regional health technology assessment
Language(s) - English
Resource type - Journals
eISSN - 2283-5733
pISSN - 2284-2403
DOI - 10.5301/grhta.5000260
Subject(s) - life expectancy , duchenne muscular dystrophy , medicine , years of potential life lost , incidence (geometry) , demography , population , pediatrics , health care , mortality rate , total cost , environmental health , surgery , physics , sociology , optics , economics , economic growth , microeconomics
BackgroundDespite advances in management and care, Duchenne muscular dystrophy (DMD) remains universally fatal. The objective of this study was to estimate the mortality cost of DMD.MethodsWe estimated the mean total national annual mortality cost associated with DMD by simulating the mean number of patients who would have been alive in 2012 in the absence of DMD using data on the mean DMD incidence, mean number of live male births, mean life expectancy at birth in DMD and the male general population, and a societal willingness-to-pay (WTP) for a life-year. We attributed each patient who would have been alive in 2012 a lost life-year. Finally, to estimate the mean mortality cost of DMD, we multiplied the estimated mean number of life-years lost with a societal WTP for a life-year of €75,000.ResultsThe mean total number of patients who would have been alive in 2012 in the absence of DMD was estimated at 4470 (95% bootstrapped CI: 4449-4492) in Germany, 3313 (3297-3329) in Italy, 3564 (3547-3581) in the UK, and 16,105 (16,029-16,186) in the USA. The corresponding mean mortality cost (in millions) was estimated at €335 (€334-€337) for Germany, €248 (€247-€250) for Italy, €267 (€266-€269) for the UK, and €1,208 (€1,202-€1,214) for the USA.ConclusionsWe show that DMD is associated with a considerable mortality cost and a substantial total economic burden to society. Our findings serve as important intelligence input to health economic policy decisions, allocation of funds for research, and cost-effective care delivery systems
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