Abstract 10768: Use of Cellular Indices to Predict All-Cause Mortality Outcomes in Patients with Pulmonary Embolism

Abstract

Introduction: Pulmonary embolism (PE) is a life-threatening condition with variable severity that results from dysregulation of complex inflammatory and hematologic processes. Current risk stratifications suffer from a low positive predictive variable. Complete blood count data offers a relatively low cost and easily accessible opportunity to supplement current risk models. We aim to identify trends in blood indices in patients with pulmonary embolism to stratify all-cause mortality. Materials and Methods: Patients with acute PE (n=231) confirmed on diagnostic imaging were followed during a three-year period for all-cause mortality. Complete blood count with differential was obtained within 24 hours of PE diagnosis through the electronic medical records system. SPSS Statistics was used to conduct bivariate analysis to identify correlations and interquartile ranges of selected indices against mortality. Results: Platelet count (PCC=-0.241, p &It0.001) and platelets/mean platelet volumes (PCC=-0.229, p &It0.001) were found to be negatively correlated with all-cause mortality, while platelets/neutrophils (PCC=0.160, p &It0.021) and neutrophils/lymphocytes (PCC=.244, p &It0.001) had a positive correlation. Values with a p value &It0.05 were declared statistically significant. Patients with active infection, malignancy, or undergoing immunosuppressive therapy were excluded from analysis due to potential confounding. Conclusion: Our study concludes lower levels of platelets are associated with increased mortality in patients with pulmonary embolism. We hypothesize the large clot burden in PE consumes platelets, which results in thrombocytopenia. By leveraging these findings in a clinical setting, we can supplement scoring criteria for pulmonary embolisms to create a more comprehensive model to predict all-cause mortality.