Abstract: PUB459
Association between Thromboinflammatory Biomarkers and Cellular Indices in Patients with ESKD
Session Information
Category: Pathology and Lab Medicine
- 1800 Pathology and Lab Medicine
Authors
- Hussain, Hamzah, Loyola University Medical Center, Chicago, Illinois, United States
- Siddiqui, Fakiha, Loyola University Medical Center, Chicago, United States
- Hoppensteadt, Debra, Loyola University Medical Center, Chicago, Illinois, United States
- Abulencia, Emma, Loyola University Medical Center, Chicago, Illinois, United States
- Fairand, Elyse, Loyola University Medical Center, Chicago, Illinois, United States
- Fareed, Jawed, Loyola University Medical Center, Chicago, Illinois, United States
- Bansal, Vinod K., Loyola University Medical Center, Chicago, Illinois, United States
Background
End-stage renal disease (ESRD) is often associated with chronic inflammation and hypercoaguable state. This results in the alteration of cellular indicies (CI’s) like neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune-inflammation index (SII), lymphocyte to monocyte ratio (LMR), and neutrophil to monocyte ratio (NMR). Thromboinflammatory biomarkers (TIB's), like D-Dimer (DD), Tissue Factor (TF), Ferritin, and C-Reactive Protein (CRP), have also been observed to be abnormal in ESRD patients. This study was designed to find a possible relevance between these CI’s and TIB's.
Methods
79 citrated plasma samples from patients with confirmed ESRD were collected in the Hemodialysis Clinic. Patient complete blood counts and ferritin levels were collected from chart review and blood CI’s were calculated. Sandwich ELISA methods were used to determine DD, TF, and CRP concentrations. A correlation analysis was performed and a correlation matrix was generated.
Results
The following figure depicts the composite data. DD showed correlation with CRP along with NLR, PLR, SII and is inversely related to LMR. Interestingly, TF showed inverse relationship with CRP, SII, and NMR. CRP showed a relationship with DD, NLR, and SII where-as it showed inverse relationships between TF and LMR. Ferritin showed positive relationship with TF and inverse relationship with PLR. Among the CI’s, varying degrees of strong correlation were observed.
Conclusion
This data demonstrates that there is a complex interdependence between the CI’s and TIB's in the pathogenesis of ESRD. Furthermore, this study shows that an integrated profiling of CI’s and TIB's may have a prognostic role which will be helpful in the management and risk stratification of this complex syndrome.