20210724-23196-6fglxe.pdf (289.32 kB)
Download file

Prognostic factors and predictors of in-hospital mortality among COVID-19 patients admitted to the intensive care unit: an aid for triage, counseling, and resource allocation

Download (289.32 kB)
journal contribution
posted on 15.03.2022, 12:24 authored by Waleed Burhamah, Iman Qahi, Melinda Oroszlányová, Sameera Shuaibi, Razan Alhunaidi, May Alduwailah, Maryam Alhenaidi, Zahraa Mohammad
Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains today a global health pandemic. Those with severe infection are at risk of rapid clinical deterioration; as a result, intensive care unit (ICU) admission is not uncommon in such patients. A number of determinants have been identified as predictors of poor prognosis and in-hospital mortality, ranging from demographic characteristics, laboratory and/or radiological findings.
Aim: To identify determinants of in-hospital mortality and examine the accuracy of seven early warning scores in predicting in-hospital mortality.
Methods: This is a retrospective study conducted in Kuwait from July 2020 to March 2021, and participants were adult patients with a positive test on the real-time polymerase chain reaction (RT-PCR) for SARS-CoV-2 and who met the criteria for ICU admission. Data collected included: demographics, clinical status on hospital arrival, laboratory test results, and ICU course. Furthermore, we calculated seven early warning scores for each of our patients.
Results: A total of 133 patients were admitted to our COVID-19 ICU with a median age of 59 years. Arrival to ICU on mechanical ventilation (MV), developing in-hospital complications, having chronic kidney disease (CKD), having a high white blood count (WBC), lactate dehydrogenase (LDH), lactate, or urea levels were found to be significant predictors of in-hospital mortality. Furthermore, the 4C mortality score for COVID-19, VACO index for COVID-19 mortality, and the PRIEST COVID-19 clinical severity score proved to be the most superior in predicting in-hospital mortality.
Conclusion: Identifying high-risk patients and those with a poor prognosis allows for efficient triaging and the delivery of high-standard care while minimizing the strain on the healthcare system.

History

Comments

The original article is available at https://www.cureus.com/

Published Citation

Burhamah W, et al. Prognostic factors and predictors of in-hospital mortality among COVID-19 patients admitted to the intensive care unit: an aid for triage, counseling, and resource allocation. Cureus. 2021;13(7):e16577.

Publication Date

23 July 2021

PubMed ID

34322358

Publisher

Cureus, Inc.

Version

  • Published Version (Version of Record)