MARATTO

article · Benha Journal of Applied Sciences

Validity of Severity scoring systems in critically ill patients with COVID 19 infection

20222 citationsOpen accessKafr el-Sheikh University

Abstract

Background In late December 2019, a previous unidentified coronavirus, emerged from Wuhan, the disease is officially named as Coronavirus Disease-2019 (COVID-19, by WHO on February 11, 2020) which led to its declaration as a global pandemic, on 11 March 2020 by the World Health Organization, This study aimed to evaluate some ICU severity scoring systems to predict prognosis, mortality rate and survival rate in critically ill patient with COVID 19 infection. Results: The study was conducted on 100 critically ill patients divided into 2 groups: non survivors group (45 patients), and survivors group (55 patients) showing that the SOFA, qSOFA, APACHE II, MURRAY, 4C mortality and VACO index scores were statistically significant higher in non survivors group. Conclusion: SOFA, qSOFA, APACHE II, MURRAY, 4C Mortality scores and VACO index were statistically significant higher in non survivors groups and significantly can predict mortality in ICU

Research topics

  • Machine Learning in Healthcare
  • Sepsis Diagnosis and Treatment
  • COVID-19 diagnosis using AI

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.21608/bjas.2022.253656

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.