Reviewer #2: The authors submitted a research article in which they examined the ability of four biomarkers to predict disease severity using conserved sera collected at the appropriate time for prediction. They enrolled 18 and 45 hospitalized patients aged 20 years or older in study 1 and 2, respectively. Since then they collected blood samples, measured biomarkers, calculated the PREDI-CO score by the severity prediction model extracted from the above data and the simple risk score by the oxygen administration prediction model created from registry data in Japan. The authors found that the prediction of mechanical ventilator management was similar for IL-6, IFN-3, TARC, and CP biomarkers, and the PREDI-CO score. They concluded that there were no any biomarker that showed a significant predictive ability. The aim of the study is clear and concise. The manuscript has a logical structure and well-balansed subsections that cover all aspects of the initial hypothesis. The tables and figures are clear and legible. The conclusive part seems to show informative description of the finding significance. Although the study has a small sample size and retrspective design, it appears to be intriguing, because it confirms a role of conventional score to stratify the patients at risk. However, I would like to put forward several comments to discuss.


Balansed


Download Zip 🔥 https://tinurll.com/2y7MRj 🔥


 006ab0faaa

ash gray apk download

process explorer 16.32 download

download doc to mp4 converter

gattu battu in the time machine full movie download

b.e.r. forever mine download