Miller Mark A, Viboud Cecile, Olson Donald R, Grais Rebecca F, Rabaa Maia A, Simonsen Lone
Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA.
J Infect Dis. 2008 Aug 1;198(3):305-11. doi: 10.1086/589716.
How to allocate limited vaccine supplies in the event of an influenza pandemic is currently under debate. Conventional vaccination strategies focus on those at highest risk for severe outcomes, including seniors, but do not consider (1) the signature pandemic pattern in which mortality risk is shifted to younger ages, (2) likely reduced vaccine response in seniors, and (3) differences in remaining years of life with age.
We integrated these factors to project the age-specific years of life lost (YLL) and saved in a future pandemic, on the basis of mortality patterns from 3 historical pandemics, age-specific vaccine efficacy, and the 2000 US population structure.
For a 1918-like scenario, the absolute mortality risk is highest in people <45 years old; in contrast, seniors (those >or=65 years old) have the highest mortality risk in the 1957 and 1968 scenarios. The greatest YLL savings would be achieved by targeting different age groups in each scenario; people <45 years old in the 1918 scenario, people 45-64 years old in the 1968 scenario, and people >45 years old in the 1957 scenario.
Our findings shift the focus of pandemic vaccination strategies onto younger populations and illustrate the need for real-time surveillance of mortality patterns in a future pandemic. Flexible setting of vaccination priority is essential to minimize mortality.
在流感大流行期间如何分配有限的疫苗供应目前仍在讨论中。传统的疫苗接种策略侧重于那些出现严重后果风险最高的人群,包括老年人,但未考虑以下因素:(1)大流行的典型模式,即死亡风险转移至较年轻人群;(2)老年人可能较低的疫苗反应;以及(3)不同年龄的剩余寿命差异。
我们整合了这些因素,根据3次历史大流行的死亡模式、特定年龄的疫苗效力以及2000年美国人口结构,预测未来大流行中各年龄组的寿命损失年数(YLL)和挽救的寿命年数。
对于类似1918年的情况,绝对死亡风险在45岁以下人群中最高;相比之下,在1957年和1968年的情况中,老年人(65岁及以上)的死亡风险最高。在每种情况下针对不同年龄组可实现最大的YLL挽救;在1918年的情况中针对45岁以下人群,在1968年的情况中针对45 - 64岁人群,在1957年的情况中针对45岁以上人群。
我们的研究结果将大流行疫苗接种策略的重点转移到了较年轻人群,并表明在未来大流行中需要对死亡模式进行实时监测。灵活设定疫苗接种优先级对于将死亡率降至最低至关重要。