Schindler Christian J A, Wittenberg Ian, Damm Oliver, Kramer Rolf, Mikolajczyk Rafael, Schönfelder Tonio
WIG2 GmbH, Markt 8, 04109, Leipzig, Germany.
Institute of Medical Epidemiology, Biometry and Informatics, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, 06108, Halle (Saale), Germany.
Infect Dis Ther. 2024 Nov;13(11):2333-2350. doi: 10.1007/s40121-024-01043-9. Epub 2024 Sep 19.
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).
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.
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).
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.
流感相关的额外死亡率和发病率通常使用统计方法进行估算。在德国,罗伯特·科赫研究所(RKI)采用相对死亡率分布法(RMDM)来估算流感相关的额外死亡率,但未报告特定年龄组的值。为了更好地区分疾病负担的分布,按年龄进行区分具有高度相关性。因此,我们旨在修订现有的额外死亡率模型,并提供多个季节的特定年龄额外死亡率估计值。我们还使用该模型来确定流感相关的额外住院人数,因为 RKI 的额外住院模型目前基于另一种方法(即额外门诊就诊次数与住院比例的组合)。
本研究是基于 1996 - 2018 年德国人群的二次数据进行的回顾性数据分析。我们采用 RKI 的 RMDM 方法来估算流感相关的额外死亡率,并将此方法应用于额外住院人数的估算。我们使用每周和特定年龄的数据计算额外死亡/住院人数。
德国现有的数据适合解决 RKI 死亡率模型的局限性。总体而言,我们估计在 1995 - 1996 年至 2017 - 2018 年期间,流感相关的全因额外死亡人数为 175,858 人(按年龄分层为 176,482 人),范围从 2005 - 2006 年的 0 人(按年龄分层为 17 人)到 2017 - 2018 年的 25,599 人(按年龄分层为 25,527 人)。在大多数季节,流感相关的总额外死亡人数与 RKI 的估计值相当。大多数额外死亡/住院发生在年龄≥60 岁的患者中(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 的住院模型意味着对额外住院人数的严重低估(所有季节分别为 828,090 人和 374,200 人)。
这是第一项提供德国流感相关额外死亡率特定年龄估计值的研究。结果清楚地表明,流感的主要负担在于老年人,应优先为他们采取预防和控制措施。