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New Publications Highlight Advances in Critical Care and Respiratory Disease: Convalescent Plasma, COPD Profiles, and Machine Learning Insights

January 31, 2025

Recent publications from faculty in the Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine at the University of Pittsburgh focus on the effectiveness of COVID-19 convalescent plasma in hospitalized patients, clinical profiles of acute respiratory distress syndrome (ARDS), patients with chronic obstructive pulmonary disease (COPD), and machine learning to understand COPD. 

These studies aim to improve critical care treatment strategies and insights into respiratory diseases.

Impact of COVID-19 Convalescent Plasma | PLoS One

This study analyzes the effect of variable COVID-19 convalescent plasma titers on survival rates among hospitalized patients, considering the recipient's humoral immunity against SARS-CoV-2.

ARDS and COPD/Emphysema Profiles | Respir Res

This study explores how COPD or emphysema affects clinical outcomes and biological profiles in patients with ARDS, shedding light on distinct pathophysiological features.

Machine Learning in COPD | JCI Insight

This study applies machine learning to identify transcriptional rewiring in epithelial cells related to COPD, emphasizing the role of Gelsolin, a protein potentially involved in disease progression.