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ABSTRACT: Background
To explore the long-term trajectories considering pneumonia volumes and lymphocyte counts with individual data in COVID-19.Methods
A cohort of 257 convalescent COVID-19 patients (131 male and 126 females) were included. Group-based multi-trajectory modelling was applied to identify different trajectories in terms of pneumonia lesion percentage and lymphocyte counts covering the time from onset to post-discharge follow-ups. We studied the basic characteristics and disease severity associated with the trajectories.Results
We characterised four distinct trajectory subgroups. (1) Group 1 (13.9%), pneumonia increased until a peak lesion percentage of 1.9% (IQR 0.7-4.4) before absorption. The slightly decreased lymphocyte rapidly recovered to the top half of th
SUBMITTER: Shi N
PROVIDER: S-EPMC8276845 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature