ABSTRACT
ABSTRACT Background: Pan-immuno-inflammation value is a new and comprehensive index that reflects both the immune response and systemic inflammation in the body. Objective: The aim of this study was to investigate the prognostic relevance of pan-immuno-inflammation value in predicting in-hospital mortality in acute pulmonary embolism patients and to compare it with the well-known risk scoring system, pulmonay embolism severity index, which is commonly used for a short-term mortality prediction in such patients. Methods: In total, 373 acute pulmonary embolism patients diagnosed with contrast-enhanced computed tomography were included in the study. Detailed cardiac evaluation of each patient was performed and pulmonary embolism severity index and pan-immuno-inflammation value were calculated. Results: In total, 60 patients died during their hospital stay. The multivariable logistic regression analysis revealed that baseline heart rate, N-terminal pro-B-type natriuretic peptide, lactate dehydrogenase, pan-immuno-inflammation value, and pulmonary embolism severity index were independent risk factors for in-hospital mortality in acute pulmonay embolism patients. When comparing with pulmonary embolism severity index, pan-immuno-inflammation value was non-inferior in terms of predicting the survival status in patients with acute pulmonay embolism. Conclusion: In our study, we found that the PIV was statistically significant in predicting in-hospital mortality in acute pulmonay embolism patients and was non-inferior to the pulmonary embolism severity index. (Rev Invest Clin. 2024;76(2):97-102)
ABSTRACT
Background: Pan-immuno-inflammation value (PIV) is a new and comprehensive index that reflects both the immune response and systemic inflammation in the body. Objective: The aim of this study was to investigate the prognostic relevance of PIV in predicting in-hospital mortality in acute pulmonary embolism (PE) patients and to compare it with the well-known risk scoring system, PE severity index (PESI), which is commonly used for a short-term mortality prediction in such patients. Methods: In total, 373 acute PE patients diagnosed with contrast-enhanced computed tomography were included in the study. Detailed cardiac evaluation of each patient was performed and PESI and PIV were calculated. Results: In total, 60 patients died during their hospital stay. The multivariable logistic regression analysis revealed that baseline heart rate, N-terminal pro-B-type natriuretic peptide, lactate dehydrogenase, PIV, and PESI were independent risk factors for in-hospital mortality in acute PE patients. When comparing with PESI, PIV was non-inferior in terms of predicting the survival status in patients with acute PE. Conclusion: In our study, we found that the PIV was statistically significant in predicting in-hospital mortality in acute PE patients and was non-inferior to the PESI.