Thrombo-inflammatory biomarkers to predict sepsis outcome

Author:

Efat Alaa1ORCID,Shoeib Sabry Abdallah1,Arafa Ayman F2,Dawod Ashraf Abdelraof3,Abd ElHafez Mohamad A1,Abd ElMohsen Essam A4,Eladly Hany F1,Ibrahim Reda A5,Elkholy Aly1ORCID

Affiliation:

1. Department of internal medicine and hematology, faculty of medicine, Menoufia University, Shebin El-Kom, Egypt

2. Department of internal medicine and hematology, faculty of medicine, Zagazig University, Zagazig, Egypt

3. Department of medical biochemistry, faculty of medicine, Menoufia University, Shebin El-Kom, Egypt

4. Department of hematology and bone marrow transplantation, at el Maadi military forces medical compound, Cairo, Egypt

5. Department of Community medicine, faculty of medicine, Menoufia University, Shebin El-Kom, Egypt

Abstract

Background: Sepsis has been redefined recently as life-threatening organ dysfunction caused by dysregulated host responses to infection and septic shock. Soluble urokinase plasminogen activator receptor (SuPAR) and plasminogen activator inhibitor-1(PAI-1) concentration positively correlate to the activation level of the immune system, and are markers of disease severity and aggressiveness. Objective: The study aimed to identify the blood level of plasminogen activator inhibitor-1 (PAI-1) and soluble urokinase plasminogen activator receptor (SuPAR) in sepsis and its association with mortality. Patient and methods: This is an observational prospective study that enrolled 60 adult patients with sepsis (according to SOFA), admitted to Menoufia and Zagazig university hospitals during the period from December 2019 till October 2020. Plasminogen activator inhibitor-1 (PAI-1) and soluble urokinase plasminogen activator receptor (SuPAR) were checked in all participants. Results: SuPAR and PAI.1 were significant independent predictors of hospital mortality. SuPAR showed sensitivity 100%, specificity 95.9%, and accuracy 94% for prediction of early mortality at a cutoff value of 13.4(pg/ml). While, PAI-1 demonstrated sensitivity 100%, specificity 93.9%, and accuracy of 95% at a cutoff value of 122.5 for predicting mortality. Conclusion: PAI-1 and suPAR were significant predictors of hospital mortality among sepsis patients. The sample size was relatively small, which may have decreased the statistical power of the results of the present study. Hence, additional studies with large sample sizes are required for further validation of the present results.

Publisher

SAGE Publications

Subject

Pharmacology,Immunology,Immunology and Allergy

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