Prediction value of soluble urokinase plasminogen activator receptor (suPAR) in COVID-19 patients - a systematic review and meta-analysis.

Published
April 01, 2023
Journal
Annals of agricultural and environmental medicine : AAEM
PICOID
26cad020
DOI
Citations
4
Keywords
COVID-19, SARS-CoV-2, marker, meta-analysis, predictor, soluble urokinase plasminogen activator receptor, suPAR
Copyright
Patients/Population/Participants

COVID-19 patients

Intervention

modern biomarkers

Comparison

SARS-CoV-2 negative and positive patients

Outcome

severity of illness, mortality

Abstract

P
I
C
O

In COVID-19, the rapid prediction of the severity of a patient's condition using modern biomarkers can accelerate the implementation of appropriate therapy, and thus improve the patient's prognosis. A meta-analysis was conducted of data available in the literature on the differences in baseline suPAR blood concentration between patients (1) who tested positive and negative for COVID-19, (2) who had severe and non-severe COVID-19, and (3) COVID-19 survivors and non-survivors. SuPAR levels in SARS-CoV-2 negative and positive patients varied and amounted to 3.61±1.59 ng/ml vs. 6.45±3.13 ng/ml, respectively (MD = -3.18; 95%CI: -4.71 to -1.66; p<0.001). suPAR levels among non-severe and severe COVID-19 patients were 7.06±2.64 ng/ml and 5.06±3.16 ng/ml (MD = 0.18; 95%CI: -2.48 to 2.83; p=0.90), respectively. Pooled analysis showed that suPAR levels between severe versus critical COVID-19 patients to be 5.59±1.54 ng/ml and 6.49±1.43 ng/ml, respectively (MD = -1.00; 95%CI: -1.31 to -0.70; p<0.001). The suPAR levels between ICU survivors versus non-survivors amounted to 5.82±2.33 ng/ml and 8.43±4.66 ng/ml (MD = -3.59; 95%CI: -6.19 to -1.00; p=0.007). In the case of in-hospital mortality, the mean suPAR level among survivors to hospital discharge was 5.63±1.27 ng/ml, compared to 7.85±2.61 ng/ml for patients who did not survive (MD = -3.58; 95%CI: -5.42 to -1.74; p<0.001). SuPAR levels are significantly elevated in severe COVID-19 illness and maybe useful in predicting mortality. Further studies are needed to determine cut-off points and clarify the association of suPAR levels with disease progression. This is of utmost importance given the ongoing pandemic and overburdened health care systems.

Similar article map

CEO: Hwi-yeol YunCOO: Jung-woo ChaeCTO: Sangkeun Jung
Location: 204, W6, Chungnam National University, 99, Daehak-ro, Yuseong-gu, Daejeon, Republic of Korea
Tel: 042-821-7328E-mail: webmaster@lilac-co.kr
Copyright © 2024 by LiLac. All Rights Reserved.