Abstract The duration of natural immunity in response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a matter of some debate in the literature at present. For example, in a recent publication characterizing SARS-CoV-2 immunity over time, the authors fit pooled longitudinal data, using fitted slopes to infer the duration of SARS-CoV-2 immunity. In fact, such approaches can lead to misleading conclusions as a result of statistical model-fitting artifacts. To exemplify this phenomenon, we reanalyzed one of the markers (pseudovirus neutralizing titer) in the publication, using mixed-effects modeling, a methodology better suited to longitudinal datasets like these. Our findings showed that the half-life was both longer and more variable than reported by the authors. The example selected by us here illustrates the utility of mixed-effects modeling in provide more accurate estimates of the duration and heterogeneity of half-lives of molecular and cellular biomarkers of SARS-CoV-2 immunity.
【저자키워드】 COVID-19, immunology, mixed-effects modeling, population PK/PD, durability of immune response, 【초록키워드】 SARS-CoV-2, coronavirus, Biomarker, heterogeneity, SARS-CoV-2 immunity, pseudovirus, dataset, methodology, molecular, estimate, utility, Neutralizing titer, marker, cellular, natural immunity, Longitudinal data, acute respiratory syndrome, approach, statistical, selected, example, reported, authors, half-live, 【제목키워드】 SARS-COV-2 infection, Decay kinetics,