利用基于全人群行政层面数据的个体生命年损失估计值来量化新冠疫情的健康负担
Quantifying the Health Burden of COVID-19 Using Individual Estimates of Years of Life Lost Based on Population-wide Administrative Level Data.
作者信息
Milkovska Elena, Wouterse Bram, Issa Jawa, van Baal Pieter
机构信息
From the Erasmus School of Health Policy and Management, Erasmus University, Rotterdam, The Netherlands.
出版信息
Epidemiology. 2025 Jul 1;36(4):520-530. doi: 10.1097/EDE.0000000000001854. Epub 2025 Apr 9.
BACKGROUND
The coronavirus disease 2019 (COVID-19) pandemic caused substantial health losses but not much is known about how these are distributed across the population. We aimed to estimate the distribution of years of life lost (YLL) due to COVID-19 and investigate its variation across the Dutch population, taking into account preexisting differences in health.
METHODS
We used linked administrative data covering the entire 50+ Dutch population over 2012-2018 (n = 6,102,334) to estimate counterfactual individual-level life expectancy for those who died from COVID-19 in 2020 and 2021. We estimated survival models and used Cox-LASSO and Cox-Elastic Net to perform variable selection among the large set of potential predictors in our data. Using individual-level life expectancy predictions, we generated the distribution of YLL due to COVID-19 for the entire 50+ population by age and income.
RESULTS
On average, we estimate that individuals who died of COVID-19 had a counterfactual life expectancy about 28% lower than that of the rest of the population. Within this average, there was substantial heterogeneity, with 20% of all individuals who died of COVID-19 having an estimated life expectancy exceeding that of the age-specific population average. Both the richest and poorest COVID-19 decedents lost the same average number of YLL, which were similarly dispersed.
CONCLUSION
Accounting for preexisting health problems is crucial when estimating YLL due to COVID-19. While average life expectancy among COVID-19 decedents was substantially lower than for the rest of the population, the popular notion that only the frail died from COVID-19 is not true.
背景
2019年冠状病毒病(COVID-19)大流行造成了巨大的健康损失,但对于这些损失如何在人群中分布却知之甚少。我们旨在估计因COVID-19导致的寿命损失年数(YLL)的分布,并调查其在荷兰人群中的差异,同时考虑到先前存在的健康差异。
方法
我们使用了2012年至2018年覆盖整个50岁及以上荷兰人群的关联行政数据(n = 6,102,334),以估计2020年和2021年死于COVID-19的人的个体层面反事实预期寿命。我们估计了生存模型,并使用Cox-LASSO和Cox弹性网络在数据中的大量潜在预测因素中进行变量选择。利用个体层面的预期寿命预测,我们按年龄和收入生成了整个50岁及以上人群因COVID-19导致的YLL分布。
结果
平均而言,我们估计死于COVID-19的个体的反事实预期寿命比其他人群低约28%。在这个平均值范围内,存在很大的异质性,所有死于COVID-19的个体中有20%的估计预期寿命超过了特定年龄人群的平均水平。最富有和最贫穷的COVID-19死者损失的YLL平均数量相同,且分布相似。
结论
在估计因COVID-19导致的YLL时,考虑先前存在的健康问题至关重要。虽然COVID-19死者的平均预期寿命明显低于其他人群,但只有体弱多病者死于COVID-19这种普遍观念并不正确。