Thomas Gajewski, Sherin Rouhani, Jonathan Trujillo, Athalia Pyzer, Jovian Yu, Jessica Fessler, Alexandra Cabanov, Emily Higgs, Kyle Cron, Yuanyuan Zha, Yihao Lu, Jeffrey Bloodworth, Mustafa Abasiyanik, Susan Okrah, Blake Flood, Ken Hatogai, Michael Leung, Apameh Pezeshk, Lara Kozloff, Robin Reschke, Garth Strohbehn, Carolina Soto Chervin, Madan Kumar, Stephen Schrantz, Maria Lucia Madariaga, Kathleen Beavis, Kiang-Teck Yeo, Randy Sweis, Jeremy Segal, SavaÅŸ Tay, Evgeny Izumchenko, Jeffrey Mueller, Lin Chen
The mechanisms explaining progression to severe COVID-19 remain poorly understood. It has been proposed that immune system dysregulation/over-stimulation may be implicated, but it is not clear how such processes would lead to respiratory failure. We performed comprehensive multiparameter immune monitoring in a tightly controlled cohort of 128 COVID-19 patients, and used the ratio of oxygen saturation to fraction of inspired oxygen (SpO2 / FiO2) as a physiologic measure of disease severity. Machine learning algorithms integrating 139 parameters identified IL-6 and CCL2 as two factors predictive of severe disease, consistent with the therapeutic benefit observed with anti-IL6-R antibody treatment...
November 24, 2021: Research Square