Calculating Route: Functional Trajectories and Long-Term Outcomes in Survivors of Severe COVID-19.

Abstract

We investigated functional trajectories after severe COVID-19 and estimated their associations with adverse outcomes (falls, rehospitalizations, institutionalization, or death), cognition and post COVID-19 condition within 1-year of hospital discharge. Prospective cohort study. A large academic medical center in Sao Paulo, Brazil. Survivors of COVID-19 admissions to an intensive care unit. None. We evaluated participants' disability status before hospital admission and three, six, nine, and twelve months after discharge using 15 activities of daily living. During follow-up, cognition and post COVID-19 condition (defined as persistent symptoms with duration ≥2 months) were assessed. A latent class growth analysis was performed to investigate functional trajectories after discharge. We included 422 participants (median age 63 years, 13.5% were frail before COVID-19). Four distinct functional trajectories could be identified: "minimal disability trajectory" (37.4% of participants), "mild disability trajectory" (37.9%), "moderate disability trajectory" (16.8%), and "severe disability trajectory" (7.8%). Compared with minimal disability trajectory, the odds ratios (95% confidence interval) for 1-year adverse outcomes were 2.28 (1.38-3.76) for minor disability trajectory; 4.21 (2.10-8.42) for moderate disability trajectory; and 4.16 (1.51-11.46) for severe disability trajectory, even after adjustments. The occurrence of post COVID-19 condition was 67.5% and associated with functional trajectories (p=0.004). Cognition was also associated with functional trajectories. Severe COVID-19 survivors can experience diverse functional trajectories, with those presenting higher levels of disability at increased risk for long-term adverse outcomes. Further investigations are essential to confirm our findings and assess the effectiveness of rehabilitation interventions, aiming to improve health outcomes in those who survived severe COVID-19 and other causes of sepsis.