Influenza-Associated Excess Mortality and Hospitalization in Germany from 1996 to 2018

IF 4.7 3区 医学 Q1 INFECTIOUS DISEASES
Christian J. A. Schindler, Ian Wittenberg, Oliver Damm, Rolf Kramer, Rafael Mikolajczyk, Tonio Schönfelder
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Abstract

Introduction

Influenza-associated excess mortality and morbidity is commonly estimated using statistical methods. In Germany, the Robert Koch Institute (RKI) uses the relative mortality distribution method (RMDM) to estimate influenza-associated excess mortality without reporting age-specific values. In order to better differentiate the distribution of the disease burden, a distinction by age is of high relevance. Therefore, we aimed to revise the existing excess mortality model and provide age-specific excess mortality estimates over multiple seasons. We also used the model to determine influenza-associated excess hospitalizations, since the RKI excess hospitalization model is currently based on another approach (i.e., combination of excess physician visits and hospitalized proportion).

Methods

This study was a retrospective data analysis based on secondary data of the German population from 1996–2018. We adapted the RKI’s method of estimating influenza-associated excess mortality with the RMDM and also applied this approach to excess hospitalizations. We calculated the number of excess deaths/hospitalizations using weekly and age-specific data.

Results

Data available in Germany are suitable for addressing the restrictions of the RKI’s mortality model. In total, we estimated 175,858 (176,482 with age stratification) influenza-associated excess all cause deaths between 1995–1996 and 2017–2018 ranging from 0 (17 with age stratification) in 2005–2006 to 25,599 (25,527 with age stratification) in 2017–2018. Total influenza-associated excess deaths were comparable to RKI’s estimates in most seasons. Most excess deaths/hospitalizations occurred in patients aged ≥ 60 years (95.42%/57.49%) followed by those aged 35–59 years (3,80%/24,98%). Compared with our model, the RKI hospitalization model implies a substantial underestimation of excess hospitalizations (828,090 vs. 374,200 over all seasons).

Conclusion

This is the first study that provides age-specific estimates of influenza-associated excess mortality in Germany. The results clearly show that the main burden of influenza is in the elderly, for whom prevention and control measures should be prioritized.

Abstract Image

1996 年至 2018 年德国与流感相关的超额死亡率和住院率
导言流感相关的超额死亡率和发病率通常采用统计方法进行估算。在德国,罗伯特-科赫研究所(RKI)使用相对死亡率分布法(RMDM)估算流感相关的超额死亡率,但不报告特定年龄的数值。为了更好地区分疾病负担的分布情况,按年龄进行区分具有重要意义。因此,我们旨在修订现有的超额死亡率模型,并提供多个季节中特定年龄的超额死亡率估计值。我们还使用该模型来确定与流感相关的超额住院率,因为 RKI 超额住院率模型目前是基于另一种方法(即结合超额医生就诊率和住院比例)。方法本研究是一项基于 1996-2018 年德国人口二手数据的回顾性数据分析。我们将 RKI 估算流感相关超额死亡率的方法与 RMDM 进行了调整,并将此方法应用于超额住院治疗。我们利用每周和特定年龄的数据计算了超额死亡人数/住院人数。1995-1996年至2017-2018年期间,我们共估算出175858例(年龄分层后为176482例)与流感相关的超额全因死亡病例,从2005-2006年的0例(年龄分层后为17例)到2017-2018年的25599例(年龄分层后为25527例)不等。在大多数季节,与流感相关的超额死亡总数与 RKI 的估计值相当。大多数超额死亡/住院发生在年龄≥60岁的患者身上(95.42%/57.49%),其次是35-59岁的患者(3.80%/24.98%)。与我们的模型相比,RKI 住院模型意味着大大低估了超额住院率(所有季节为 828 090 对 374 200)。研究结果清楚地表明,流感的主要负担在老年人身上,因此应优先采取预防和控制措施。
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来源期刊
Infectious Diseases and Therapy
Infectious Diseases and Therapy Medicine-Microbiology (medical)
CiteScore
8.60
自引率
1.90%
发文量
136
审稿时长
6 weeks
期刊介绍: Infectious Diseases and Therapy is an international, open access, peer-reviewed, rapid publication journal dedicated to the publication of high-quality clinical (all phases), observational, real-world, and health outcomes research around the discovery, development, and use of infectious disease therapies and interventions, including vaccines and devices. Studies relating to diagnostic products and diagnosis, pharmacoeconomics, public health, epidemiology, quality of life, and patient care, management, and education are also encouraged. Areas of focus include, but are not limited to, bacterial and fungal infections, viral infections (including HIV/AIDS and hepatitis), parasitological diseases, tuberculosis and other mycobacterial diseases, vaccinations and other interventions, and drug-resistance, chronic infections, epidemiology and tropical, emergent, pediatric, dermal and sexually-transmitted diseases.
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