Annual Cost of Illness and Quality-Adjusted Life Year Losses in the United States Due to 14 Foodborne Pathogens
Annual Cost of Illness and Quality-Adjusted Life Year Losses in the United States Due to 14 Foodborne Pathogens
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DOI：
10.4315/0362-028x.jfp-11-417
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发表时间：
2012-07-01
影响因子：
2
通讯作者：
Morris, J. Glenn, Jr.
中科院分区：
文献类型：
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作者：
Hoffmann, Sandra;Batz, Michael B.;Morris, J. Glenn, Jr.
在这篇文章中，我们估计了由Scallan等人报道的31种主要食源性病原体中的14种引起的美国疾病和质量调整生命年（QALY）损失的年度成本。Infect. 17：7-15，2011），基于他们对美国食源性疾病的发病率估计。Scallan等人估计，这14种病原体占可识别病原体引起的疾病和住院治疗的95%和死亡的98%。我们估计，这14种病原体造成140亿美元的损失。（从44亿美元到330亿美元不等）的疾病费用和每年损失61，000个昆士兰州（从19，000到145，000个昆士兰州）。大约90%的损失是由五种病原体引起的：非伤寒沙门氏菌（33亿美元; 17，000个Q），弯曲杆菌属。（17亿美元; 13，300个昆士兰州），单核细胞增生李斯特菌（26亿美元，9，400个昆士兰州），弓形虫（30亿美元，11，000个昆士兰州）和诺如病毒（20亿美元，5，000个昆士兰州）。一篇配套文章将这项研究中估计的损失归因于特定类别食物的消费。为了达到这些估计值，我们为每种病原体创建疾病结果树，以表征与该病原体相关的症状，严重程度，持续时间，结果和健康状态的可能性。然后，我们估计每种病原体的疾病成本（医疗成本，生产力损失和过早死亡的估值）。我们还使用EuroQol 5D量表估计与给定病原体相关的每个健康状态的QALY损失。疾病结局树的构建、疾病的结局特异性成本和EuroQol 5D评分在第二篇配套文章中有更详细的描述。
In this article we estimate the annual cost of illness and quality-adjusted life year (QALY) loss in the United States caused by 14 of the 31 major foodbome pathogens reported on by Scallan et al. (Emerg. Infect. Dis. 17:7-15, 2011), based on their incidence estimates of foodbome illness in the United States. These 14 pathogens account for 95% of illnesses and hospitalizations and 98% of deaths due to identifiable pathogens estimated by Scallan et al. We estimate that these 14 pathogens cause $14.0 billion (ranging from $4.4 billion to $33.0 billion) in cost of illness and a loss of 61,000 QALYs (ranging from 19,000 to 145,000 QALYs) per year. Roughly 90% of this loss is caused by five pathogens: nontyphoidal Salmonella enterica ($3.3 billion; 17,000 QALYs), Campylobacter spp. ($1.7 billion; 13,300 QALYs), Listeria monocytogenes ($2.6 billion; 9,400 QALYs), Toxoplasma gondii ($3 billion; 11,000 QALYs), and norovirus ($2 billion: 5,000 QALYs). A companion article attributes losses estimated in this study to the consumption of specific categories of foods. To arrive at these estimates, for each pathogen we create disease outcome trees that characterize the symptoms, severities, durations, outcomes, and likelihoods of health states associated with that pathogen. We then estimate the cost of illness (medical costs, productivity loss, and valuation of premature mortality) for each pathogen. We also estimate QALY loss for each health state associated with a given pathogen, using the EuroQol 5D scale. Construction of disease outcome trees, outcome-specific cost of illness, and EuroQol 5D scoring are described in greater detail in a second companion article.