Is it Possible to Predict High-Risk Patients in Acute Pulmonary Embolism with Systemic Immune-Inflammation Index?

Authors : Murat DUYAN, Ali SARIDAŞ, Nafis VURAL

Pages : 101-105

Doi:10.55994/ejcc.1193320

View : 23 | Download : 12

Publication Date : 2022-12-30

Article Type : Research Paper

Abstract :Background: Acute pulmonary embolism insert ignore into journalissuearticles values(APE); is a cardiovascular emergency that has a high morbidity and mortality probability. The aim of this study is to investigate the clinical value of the systemic immune inflammation index insert ignore into journalissuearticles values(SII); in predicting high-risk patients admitted to the emergency department with a diagnosis of Acute pulmonary embolism insert ignore into journalissuearticles values(APE);. Materials and Methods: This clinical study, which was conducted according to a cross-sectional study design, included 193 patients diagnosed with APE who presented to the emergency department of a tertiary hospital. According to the guideline, patients with Pulmonary Embolism Severity Index insert ignore into journalissuearticles values(PESI); class III–V or sPESI ≥I were identified as high risk. ROC insert ignore into journalissuearticles values(Area Under the Curve); analysis was used to determine the cut-off in predicting high-risk APE. Results: In our research, 71 of the patients had high-risk APE. In detecting high-risk APE, SII was found to have excellent diagnostic power insert ignore into journalissuearticles values(AUC: 0.84);, while neutrophil to lymphocyte ratio insert ignore into journalissuearticles values(NLR);, platelet to lymphocyte ratio insert ignore into journalissuearticles values(PLR);, and monocyte to lymphocyte insert ignore into journalissuearticles values(MLR); were found to have acceptable diagnostic power insert ignore into journalissuearticles values(AUC: 0.76-0.78);, red cell distribution width insert ignore into journalissuearticles values(RDW); to lymphocyte insert ignore into journalissuearticles values(RLR); was of fair diagnostic power insert ignore into journalissuearticles values(AUC: 0.68);. Conclusion: We have shown that SII can be a valuable and useful potential biomarker to identify high-risk patients in patients with APE. We also found that MLR and RLR are biomarkers that can be used to predict severe APE.
Keywords : Acute pulmonary embolism, the severity of pulmonary embolism, systemic immune inflammation index, monocyte to lymphocyte ratio, RDW to lymphocyte ratio