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Comparing Severity Scoring Systems and Ventilation Protocols in COVID-19 ARDS: an Integrated Approach

EasyChair Preprint no. 12886

10 pagesDate: April 3, 2024


This study presents an integrated approach to managing COVID-19 patients with acute respiratory distress syndrome (ARDS), focusing on the comparison of severity scoring systems and ventilation protocols. The severity scoring systems investigated include the Pneumonia Severity Index (PSI) and the CURB-65 score, while ventilation protocols are optimized for ARDS in the context of COVID-19. A retrospective analysis was conducted on a cohort of COVID-19 patients admitted to intensive care units (ICUs) across multiple medical centers. The PSI and CURB-65 scores were calculated upon admission to assess disease severity and predict mortality. Subsequently, two distinct ventilation protocols were compared: a standard protocol following traditional guidelines and an adapted protocol integrating COVID-19-specific considerations such as prone positioning and lung recruitment maneuvers. Key outcomes including mortality rates, duration of mechanical ventilation, and incidence of ventilator-associated complications were evaluated. Additionally, physiological parameters such as oxygenation indices and ventilator settings were monitored throughout the weaning process. Preliminary findings suggest that integrating severity scoring systems with tailored ventilation protocols leads to improved patient outcomes. The comparison between PSI and CURB-65 scores revealed differences in predictive accuracy for mortality in COVID-19 ARDS patients.

Keyphrases: Acute Respiratory Distress Syndrome (ARDS), COVID-19, integrated approach, Mortality Prediction, severity scoring systems, ventilation protocols

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Usman Hider},
  title = {Comparing Severity Scoring Systems and Ventilation Protocols in COVID-19 ARDS: an Integrated Approach},
  howpublished = {EasyChair Preprint no. 12886},

  year = {EasyChair, 2024}}
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