RT Journal Article
SR Electronic
T1 Hematological parameters- as mortality predictors in COVID-19 patients
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP PA640
DO 10.1183/13993003.congress-2021.PA640
VO 58
IS suppl 65
A1 Cristian Cojocaru
A1 Elena Cojocaru
YR 2021
UL http://erj.ersjournals.com/content/58/suppl_65/PA640.abstract
AB Introduction: In-hospital mortality of SARS-CoV-2 infection could range from 4% to 11%, particularly in the elderly. The overall mortality rate in intensive care unit (ICU) is about 25%, but the factors predicting mortality are not well established.Aims: To identify the hematological parameters associated with high mortality risk and outcomes within a group of ICU patients with COVID-19.Methods: A retrospective analysis was conducted on 59 patients admitted to ICU with COVID-19. The overall mortality rate was 50.8%, higher for males (59.5%). The evaluated parameters were: the white blood cell count (WBC), neutrophil count (NEU), lymphocyte count (LYM), neutrophil (NEU)-to-lymphocyte (LYM) ratio (NLR), derived NLR ratio (d-NLR) and platelet-to-lymphocyte ratio (PLR).Results: The mean ICU length of stay was 10.2 ±7.9 days for patients who died compared to 17.8 ± 13.3 days for patients who survived (p=0.007). The mean age and the median were higher in deceased cases (66 years and 70 years, respectively) compared to patients who survived (mean 59.2 years). Results indicated that men had a shorter survival rate (9.6 days) than women (13.4 days), p < 0.05. The significant differences between the deceased compared to survivors were observed for NLR (18.7 versus 8.6), d-NLR (9.3 vs 5.6), PLR (274.1 vs 212.5) and fibrinogen (458.8 vs 470.8 mg/dL).Conclusion: Routine hematological parameters, like NLR, d-NLR and PLR, which are not usually reported by the laboratories, may provide to clinicians an accurate estimation of mortality risk for ICU patients together with some factors such as male gender and older age.FootnotesCite this article as: European Respiratory Journal 2021; 58: Suppl. 65, PA640.This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).