Platelet‑related parameters as potential biomarkers for the prognosis of sepsis

Abstract

Early diagnosis and accurate prognosis are key for reducing the fatality rate and medical expenses associated with sepsis. Platelets are involved in the delayed tissue injury that occurs during sepsis. Therefore, the aim of the present study was to investigate the usefulness of platelets and associated parameters as prognostic markers of sepsis. The present study collected patient samples based on The Third International Consensus Definitions for Sepsis and Septic Shock criteria. Platelet-associated parameters were detected by flow cytometry and their correlation with clinical scores and prognoses was analyzed. Considering the association between endothelial cells and platelet activation, levels of plasma tumor necrosis factor-like weak inducer of apoptosis (TWEAK) and angiopoietin-2 (Ang-2) were analyzed by ELISA. The results showed significant differences in platelet P-selectin expression and phosphatidylserine exposure, mitochondrial membrane potential (Mmp)-Index values and plasma levels of TWEAK and Ang-2 between patients and healthy controls (P<0.05). Except for P-selectin and TWEAK levels, all parameters were correlated with clinical scores (acute physiology and chronic health evaluation II and sequential/sepsis-related organ failure assessment). Additionally, platelet Mmp-Index between admission and the end of therapy was only different in non-survivors (P<0.001) and platelet phosphatidylserine exposure was significantly lower in survivors (P=0.006). Therefore, of the parameters tested, the dynamic monitoring of phosphatidylserine exposure, platelet Mmp-Index values and plasma Ang-2 levels had the most potential for the assessment of disease severity and clinical outcomes.

Prediction of Prognosis in Patients with Sepsis Based on Platelet-Related Genes

“…Identifying potential prognostic biomarkers is essential for the prognosis and treatment of sepsis. The number and function of platelets can reflect the severity of sepsis and are closely related to patient prognosis [18,19]. We screened 10 PRGs associated with the prognosis of sepsis patients, established a prognostic risks core model, and developed a nomogram.…”

Development and validation of a machine learning-based interpretable model for predicting sepsis by complete blood cell parameters

“…Additionally, platelets play a vital role in immune response, pathogen clearance, tissue repair, hemostasis, and thrombosis. Platelet-related parameters have proven useful in predicting the prognosis and mortality of sepsis [ 30 ].…”

Prognostic value of platelet combined with serum procalcitonin in patients with sepsis

“…Zeng et al [ 30 ] conducted a study on the diagnosis of sepsis using multiple biomarkers, which showed that combining any 2 biomarkers can improve the sensitivity and specificity of sepsis diagnosis. The ROC curve analysis in this study showed that the AUC for PCT and PLT in predicting patient prognosis was 0.808 (95% CI: 0.733–0.882) and 0.804 (95% CI: 0.746–0.861), respectively, with both P values <.001.…”