Predicting those that require rehabilitation following hospitalisation of COVID19.

Abstract

<b>Introduction:</b> It is estimated that 25% of all individuals hospitalised with COVID-19 will require rehabilitation for lasting symptoms following infection. <b>Aims:</b> The aim of this study is to predict those that will require rehabilitation. <b>Methods:</b> An observational cohort study exploring ongoing symptoms and rehabilitation needs for COVID-19 patients after 3 months of hospital admission. The FACIT and HADS were used to determine fatigue and anxiety/depression respectively and categorised using known cut offs (&lt;30 FACIT severe, &gt;10 HADS). Patients self- identified whether they required rehabilitation based on if they perceived they had returned to baseline. Univariate and multivariable logistic regression models were used to identify factors that influence rehabilitation needs. <b>Results:</b> 363 patients were identified (186(51%) male, mean[SD] age 57[14], length of stay 10[14]). Univariate analysis determined respiratory comorbidities, fatigue, anxiety and depression were significant predictors in determining the need for rehabilitation with an odds ratio of 1.40, 3.12, 4.20 and 14.27 respectively. Age, sex and length of stay were not significant predictors of recovery. Significant predictors identified from univariate analyses (p&lt;0.01) were entered into a multivariable regression model. Severe depression and fatigue lead to an increase in requiring rehabilitation with an odds ratio of 7.11 and 2.75 respectively. <b>Conclusion:</b> Patients that display severe depression and fatigue should be referred for rehabilitation. Patients with a pre-existing respiratory comorbidity should be considered for referral to a rehabilitation programme.