Years of life lost estimates cannot always be taken at face value: Response to "COVID-19 - exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study"

Marius Rubo; Peter Czuppon

doi:10.12688/wellcomeopenres.16015.2

Years of life lost estimates cannot always be taken at face value: Response to "COVID-19 - exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study"

Wellcome Open Res. 2022 Jan 13:5:137. doi: 10.12688/wellcomeopenres.16015.2. eCollection 2020.

Authors

Marius Rubo¹, Peter Czuppon^{2

3

4}

Affiliations

¹ Department of Psychology, University of Fribourg, Fribourg, 1700, Switzerland.
² Institute of Ecology and Environmental Sciences, Sorbonne Université, Paris, 75252, France.
³ Centre Interdisciplinaire de Recherche en Biologie, Collège de France, Paris, 75005, France.
⁴ Institute for Evolution & Biodiversity, University Münster, 48149 Münster, Germany.

Abstract

In their recent analysis, Hanlon et al. estimated the years of life lost (YLL) in people who have died with COVID-19 by following and expanding on the WHO standard approach. We welcome this research as an attempt to draw a more accurate picture of the mortality burden of this disease which has been involved in the deaths of more than 300,000 people worldwide as of May 2020. However, we argue that obtained YLL estimates (13 years for men and 11 years for women) are interpreted in a misleading way. Even with the presented efforts to control for the role of multimorbidity in COVID-19 deaths, these estimates cannot be interpreted to imply "how long someone who died from COVID-19 might otherwise have been expected to live". By example we analyze the underlying problem which renders such an interpretation of YLL estimates impossible, and outline potential approaches to control for the problem.

Keywords: COVID-19; Data Selection Bias; Mortality Burden; Years of Life Lost.