Hupert Nathaniel, Wattson Daniel, Cuomo Jason, Benson Samuel
Department of Public Health, Weill Medical College of Cornell University, New York, NY, USA.
Acad Emerg Med. 2007 Mar;14(3):268-74. doi: 10.1197/j.aem.2006.08.017. Epub 2006 Dec 27.
Mass prophylaxis against infectious disease outbreaks carries the risk of medication-related adverse events (MRAEs). The authors sought to define the relationship between the rapidity of mass prophylaxis dispensing and the subsequent demand for emergency health services due to predictable MRAEs.
The authors created a spreadsheet-based computer model that calculates scenario-specific predicted daily MRAE rates from user inputs by applying a probability distribution to the reported timing of MRAEs. A hypothetical two- to ten-day prophylaxis campaign for one million people using recent data from both smallpox vaccination and anthrax chemoprophylaxis campaigns was modeled.
The length of a mass prophylaxis campaign plays an important role in determining the subsequent intensity in emergency services utilization due to real or suspected adverse events. A two-day smallpox vaccination scenario would produce an estimated 32,000 medical encounters and 1,960 hospitalizations, peaking at 5,246 health care encounters six days after the start of the campaign; in contrast, a ten-day campaign would lead to 41% lower peak surge, with a maximum of 3,106 encounters on the busiest day, ten days after initiation of the campaign. MRAEs with longer lead times, such as those associated with anthrax chemoprophylaxis, exhibit less variability based on campaign length (e.g., 124 out of an estimated 1,400 hospitalizations on day 20 after a two-day campaign versus 103 on day 24 after a ten-day campaign).
The duration of a mass prophylaxis campaign may have a substantial impact on the timing and peak number of clinically significant MRAEs, with very short campaigns overwhelming existing emergency department (ED) capacity to treat real or suspected medication-related injuries. While better reporting of both incidence and timing of MRAEs in future prophylaxis campaigns should improve the application of this model to community-based emergency preparedness planning, these results highlight the need for coordination between public health and emergency medicine planning for infectious disease outbreaks to avoid preventable surges in ED utilization.
针对传染病爆发进行大规模预防存在药物相关不良事件(MRAEs)的风险。作者试图确定大规模预防药物发放的速度与因可预测的MRAEs而导致的后续紧急医疗服务需求之间的关系。
作者创建了一个基于电子表格的计算机模型,通过将概率分布应用于报告的MRAEs发生时间,根据用户输入计算特定情景下预测的每日MRAE发生率。使用来自天花疫苗接种和炭疽化学预防活动的近期数据,对针对100万人进行的为期2至10天的假设性预防活动进行了建模。
大规模预防活动的时长在决定因实际或疑似不良事件导致的后续紧急服务使用强度方面起着重要作用。为期2天的天花疫苗接种情景预计会产生32000次医疗就诊和1960次住院,在活动开始后6天达到5246次医疗保健就诊的峰值;相比之下,为期10天的活动将导致峰值激增降低41%,在活动开始后第10天最繁忙的一天最多有3106次就诊。潜伏期较长的MRAEs,如与炭疽化学预防相关的那些,基于活动时长的变异性较小(例如,在为期2天的活动后第20天估计的1400次住院中有124次,而在为期10天的活动后第24天有103次)。
大规模预防活动的持续时间可能对具有临床意义的MRAEs的发生时间和峰值数量产生重大影响,极短的活动会使现有的急诊科(ED)处理实际或疑似药物相关损伤的能力不堪重负。虽然在未来的预防活动中更好地报告MRAEs的发生率和发生时间应能改善该模型在基于社区的应急准备规划中的应用,但这些结果凸显了公共卫生与急诊医学针对传染病爆发进行规划时协调的必要性,以避免ED利用率出现可预防的激增。