Mathematical, Computational & Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.
BMC Infect Dis. 2012 Apr 20;12:97. doi: 10.1186/1471-2334-12-97.
Increasing our understanding of the factors affecting the severity of the 2009 A/H1N1 influenza pandemic in different regions of the world could lead to improved clinical practice and mitigation strategies for future influenza pandemics. Even though a number of studies have shed light into the risk factors associated with severe outcomes of 2009 A/H1N1 influenza infections in different populations, analyses of the determinants of mortality risk spanning multiple pandemic waves and geographic regions are scarce. Between-country differences in the mortality burden of the 2009 pandemic could be linked to differences in influenza case management, underlying population health, or intrinsic differences in disease transmission. Additional studies elucidating the determinants of disease severity globally are warranted to guide prevention efforts in future influenza pandemics.In Mexico, the 2009 A/H1N1 influenza pandemic was characterized by a three-wave pattern occurring in the spring, summer, and fall of 2009 with substantial geographical heterogeneity. A recent study suggests that Mexico experienced high excess mortality burden during the 2009 A/H1N1 influenza pandemic relative to other countries. However, an assessment of potential factors that contributed to the relatively high pandemic death toll in Mexico are lacking. Here, we fill this gap by analyzing a large series of laboratory-confirmed A/H1N1 influenza cases, hospitalizations, and deaths monitored by the Mexican Social Security medical system during April 1 through December 31, 2009 in Mexico. In particular, we quantify the association between disease severity, hospital admission delays, and neuraminidase inhibitor use by demographic characteristics, pandemic wave, and geographic regions of Mexico.
We analyzed a large series of laboratory-confirmed pandemic A/H1N1 influenza cases from a prospective surveillance system maintained by the Mexican Social Security system, April-December 2009. We considered a spectrum of disease severity encompassing outpatient visits, hospitalizations, and deaths, and recorded demographic and geographic information on individual patients. We assessed the impact of neuraminidase inhibitor treatment and hospital admission delay (≤ > 2 days after disease onset) on the risk of death by multivariate logistic regression.
Approximately 50% of all A/H1N1-positive patients received antiviral medication during the Spring and Summer 2009 pandemic waves in Mexico while only 9% of A/H1N1 cases received antiviral medications during the fall wave (P < 0.0001). After adjustment for age, gender, and geography, antiviral treatment significantly reduced the risk of death (OR = 0.52 (95% CI: 0.30, 0.90)) while longer hospital admission delays increased the risk of death by 2.8-fold (95% CI: 2.25, 3.41).
Our findings underscore the potential impact of decreasing admission delays and increasing antiviral use to mitigate the mortality burden of future influenza pandemics.
深入了解影响全球不同地区 2009 年甲型 H1N1 流感大流行严重程度的因素,可以为未来流感大流行的临床实践和缓解策略提供改进。尽管许多研究已经揭示了不同人群中与 2009 年甲型 H1N1 流感感染严重后果相关的危险因素,但对跨越多个大流行波和地理区域的死亡率风险决定因素的分析却很少。各国之间 2009 年大流行的死亡率负担差异可能与流感病例管理、基础人群健康或疾病传播内在差异有关。为了指导未来流感大流行的预防工作,有必要开展更多阐明全球疾病严重程度决定因素的研究。在墨西哥,2009 年甲型 H1N1 流感大流行呈现出春、夏、秋三波的模式,具有显著的地域差异。最近的一项研究表明,与其他国家相比,墨西哥在 2009 年甲型 H1N1 流感大流行期间经历了高超额死亡负担。然而,对于导致墨西哥相对较高大流行死亡人数的潜在因素,我们尚不清楚。在这里,我们通过分析墨西哥社会保障医疗系统在 2009 年 4 月 1 日至 12 月 31 日期间监测的大量实验室确诊的甲型 H1N1 流感病例、住院和死亡数据来填补这一空白。特别是,我们量化了疾病严重程度、住院延迟和神经氨酸酶抑制剂使用之间的关联,这些关联受人口统计学特征、大流行波和墨西哥地理区域的影响。
我们分析了墨西哥社会保障系统维持的一个大系列的实验室确诊的大流行甲型 H1N1 流感病例,时间为 2009 年 4 月至 12 月。我们考虑了一系列疾病严重程度,包括门诊就诊、住院和死亡,并记录了个体患者的人口统计学和地理信息。我们通过多变量逻辑回归评估了神经氨酸酶抑制剂治疗和住院延迟(发病后 2 天内就诊与 2 天以上就诊)对死亡风险的影响。
在墨西哥 2009 年春夏两季的大流行波中,约有 50%的所有甲型 H1N1 阳性患者接受了抗病毒药物治疗,而在秋季波中只有 9%的甲型 H1N1 病例接受了抗病毒药物治疗(P < 0.0001)。在校正年龄、性别和地理因素后,抗病毒治疗显著降低了死亡风险(OR = 0.52(95% CI:0.30,0.90)),而住院延迟增加了 2.8 倍的死亡风险(95% CI:2.25,3.41)。
我们的研究结果强调了减少入院延迟和增加抗病毒药物使用以减轻未来流感大流行的死亡率负担的潜在影响。