Andy
Senior Member (Voting rights)
Background
Post-COVID syndrome (PCS) affects many survivors with varying symptom profiles driven by acute disease severity (PCS-S) or individual resilience (PCS-R). While cross-sectional studies have identified risk factors and gender differences, long-term trajectories remain unclear. This study investigates the stability and progression of PCS-S and PCS-R scores after 9, 24 and 36 months from initial diagnosis, identifying key predictive factors stratified by gender.Methods
We analyzed data from 1526 participants of the German National Pandemic Cohort Network (NAPKON), modeling symptom-based PCS-score trajectories over time with linear mixed-effects models. Data were split into training (n = 944), test (n = 233), and two-site external validation (n = 349) sets. Gender-stratified elastic-net regression used nine-month clinical and psychosocial measures to predict PCS scores at 24 and 36 months. All data were collected between November 2020 and February 2024. The study is registered on ClinicalTrials.gov (NCT04679584) and in the German Registry for Clinical Studies (DRKS00023742).Findings
PCS-S and PCS-R scores showed small but significant declines between 9 and 36 months (β = −0.054 and −0.065, respectively; p < 0.001), indicating persistent symptom burden despite gradual improvement. Predictive models explained 16.7–52.6% of variance in later PCS severity. Fatigue after 9 months and age predicted later PCS-S; quality of life and depression added predictive value in females. Fatigue and sleep issues predicted PCS-R, with living/employment status relevant in females and cognitive deficits in males.Interpretation
The severity of PCS subtype manifest after 9 months remains relatively stable over time, with distinct gender-specific predictors shaping symptom progression. Tailored interventions are essential for long-term management of PCS pathways.Funding
The COVIDOM study is funded by the Network University Medicine as part of the NAPKON.Open access
