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A Simple Non-Invasive Score Based on Baseline Parameters Can Predict Outcome in Patients with COVID-19.

Authors :
Scotto, Riccardo
Lanzardo, Amedeo
Buonomo, Antonio Riccardo
Pinchera, Biagio
Cattaneo, Letizia
Sardanelli, Alessia
Mercinelli, Simona
Viceconte, Giulio
Perrella, Alessandro
Esposito, Vincenzo
Codella, Alessio Vinicio
Maggi, Paolo
Zappulo, Emanuela
Villari, Riccardo
Foggia, Maria
Gentile, Ivan
Source :
Vaccines; Dec2022, Vol. 10 Issue 12, p2043, 14p
Publication Year :
2022

Abstract

We evaluated the role of CRP and other laboratory parameters in predicting the worsening of clinical conditions during hospitalization, ICU admission, and fatal outcome among patients with COVID-19. Consecutive adult inpatients with SARS-CoV-2 infection and respiratory symptoms treated in three different COVID centres were enrolled, and they were tested for laboratory parameters within 48 h from admission. Three-hundred ninety patients were enrolled. Age, baseline CRP, and LDH were associated with a P/F ratio < 200 during hospitalization. Male gender and CRP > 60 mg/L were shown to be independently associated with ICU admission. Lymphocytes < 1000 cell/μL were associated with the worst P/F ratio. CRP > 60 mg/L predicted exitus. We subsequently devised an 11-points numeric ordinary scoring system based on age, sex, CRP, and LDH at admission (ASCL score). Patients with an ASCL score of 0 or 2 were shown to be protected against a P/F ratio < 200, while patients with an ASCL score of 6 to 8 were shown to be at risk for P/F ratio < 200. Patients with an ASCL score ≥ 7 had a significantly increased probability of death during hospitalization. In conclusion, patients with elevated CRP and LDH and an ASCL score > 6 at admission should be prioritized for careful respiratory function monitoring and early treatment to prevent a progression of the disease. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2076393X
Volume :
10
Issue :
12
Database :
Complementary Index
Journal :
Vaccines
Publication Type :
Academic Journal
Accession number :
161039973
Full Text :
https://doi.org/10.3390/vaccines10122043