Lum Martin E, McMillan Alison J, Brook Chris W, Lester Rosemary, Piers Leonard S
State Government of Victoria, Department of Health, Melbourne, VIC, Australia.
Med J Aust. 2009 Nov 2;191(9):502-6. doi: 10.5694/j.1326-5377.2009.tb02914.x.
To describe the demand for critical care hospital admissions in Victoria resulting from the rapid rise in the number of pandemic (H1N1) 2009 influenza cases, and to describe the role of modelling tools to assist with the response to the pandemic.
Prospective modelling with the tools FluSurge 2.0 and FluAid 2.0 (developed by the United States Centers for Disease Control and Prevention) over 12 weeks from when the pandemic "Contain" Phase was declared on 22 May 2009, compared with data obtained from daily hospital reports of pandemic (H1N1) 2009 influenza-related admissions and transfers to intensive care units (ICUs).
The effect on hospitals as projected by the FluAid 2.0 model compared with observed hospital admissions and ICU admissions.
Prospective use of the FluAid 2.0 model provided valuable health intelligence for assessment and projection of hospitalisation and critical care demand through the first 10 weeks of the pandemic in Victoria. The observed rate of hospital admissions for pandemic (H1N1) 2009 was broadly consistent with a 5% gross clinical attack rate, with 0.3% of infected patients being hospitalised. Transfers to ICUs occurred at a rate of 20% of hospital admissions, and were associated with vulnerable patient groups, and severe respiratory failure in 82% of patients admitted to ICUs. Most patients treated in ICUs (85%) survived after an average ICU length of stay of 9 days (SD, 6.5 days). Mechanical ventilation was required by 72% of patients admitted to ICUs, and extracorporeal membrane oxygenation (ECMO) was used for 7%. Pre-existing haematological malignancy accounted for half of all the deaths in patients admitted to ICUs with pandemic (H1N1) 2009 influenza.
Prospective use of modelling tools informed critical decisions in the planning and management of the pandemic. Early estimation of the clinical attack rate, hospitalisation rates, and demand for ICU beds guided implementation of surge capacity. ECMO emerged as an important treatment modality for pandemic (H1N1) 2009 influenza, and will be an important consideration for future pandemic planning.
描述因2009年甲型H1N1流感大流行病例数迅速增加而导致的维多利亚州重症监护病房住院需求,并描述建模工具在应对该大流行中所起的作用。
自2009年5月22日宣布大流行“遏制”阶段起,使用FluSurge 2.0和FluAid 2.0工具(由美国疾病控制与预防中心开发)进行为期12周的前瞻性建模,并与从2009年甲型H1N1流感相关住院和转入重症监护病房(ICU)的每日医院报告中获取的数据进行比较。
FluAid 2.0模型预测的对医院的影响与观察到的医院住院和ICU住院情况的对比。
在维多利亚州大流行的前10周,前瞻性使用FluAid 2.0模型为评估和预测住院及重症监护需求提供了有价值的健康情报。观察到的2009年甲型H1N1流感住院率与5%的总体临床感染率大致相符,0.3%的感染患者住院治疗。转入ICU的比例为住院患者的20%,且与易感患者群体相关,转入ICU的患者中82%患有严重呼吸衰竭。在ICU接受治疗的大多数患者(85%)存活,平均ICU住院时间为9天(标准差6.5天)。72%转入ICU的患者需要机械通气,7%使用体外膜肺氧合(ECMO)。既往血液系统恶性肿瘤占2009年甲型H1N1流感患者转入ICU后所有死亡病例的一半。
前瞻性使用建模工具为大流行的规划和管理中的关键决策提供了依据。对临床感染率、住院率和ICU床位需求的早期估计指导了应急能力的实施。ECMO成为2009年甲型H1N1流感的一种重要治疗方式,将是未来大流行规划的一个重要考虑因素。