Algorithmic approach in the management of COVID-19 patients with residual pulmonary symptoms

Abstract

Coronavirus-19 emerged about 3 years ago and has proven to be a devastating disease, crippling communities worldwide and accounting for more than 6.31 million deaths. The true disease burden of COVID-19 will come to light in the upcoming years as we care for COVID-19 survivors with post-COVID-19 syndrome (PCS) with residual long-term symptoms affecting every organ system. Pulmonary fibrosis is the most severe long-term pulmonary manifestation of PCS, and due to the high incidence of COVID-19 infection rates, PCS-pulmonary fibrosis has the potential of becoming the next large-scale respiratory health crisis. To confront the potentially devastating effects of emerging post-COVID-19 pulmonary fibrosis, dedicated research efforts are needed to focus on surveillance, understanding pathophysiologic mechanisms, and most importantly, an algorithmic approach to managing these patients. We have performed a thorough literature review on post-COVID-19 pulmonary symptoms/imaging/physiology and present an algorithmic approach to these patients based on the best available data and extensive clinical experience.