Predictors of In-hospital Death in Patients with Stanford Type B Acute Aortic Dissection

Author:

DUYAN Murat1,SARIDAŞ Ali2,VURAL Nafis3

Affiliation:

1. Department of Emergency Medicine, Antalya Training and Research Hospital, Antalya, Turkey

2. Department of Emergency Medicine, Prof. Dr. Cemil Taşçıoğlu City Hospital, Istanbul, Turkey

3. Department of Emergency Medicine, Ereğli State Hospital, Konya, Turkey

Abstract

Background: Even with immediate surgical intervention, acute aortic dissection (AAD) is a cardiovascular emergency with a high mortality rate. The purpose of this study was to look at the relationship between in-hospital mortality and red cell distribution width (RDW)/lymphocyte ratio (RLR), monocyte/lymphocyte ratio (MLR), and systemic immune inflammation index (SII) in patients with type B acute aortic dissection (BAAD). Materials and methods: 59 BAAD patients who presented to the emergency room of a tertiary hospital were included in this cross-sectional study. The predictive ability and cut-off value of biomarkers for mortality were evaluated using Receiver Operating Characteristic (ROC) analysis. The variables believed to be connected to in-hospital mortality were subjected to multiple regression analysis, and the odds ratio was calculated. Results: The study consisted of 59 patients in total, 44 of whom (74.6%) were male. 17 of these patients died in the hospital. In terms of predicting in-hospital mortality in BAAD patients, MLR, and neutrophil/lymphocyte ratio (NLR) have excellent diagnostic power (AUC: 0.826, 0.822, respectively), while platelet/lymphocyte ratio (PLR), RLR, and SII have acceptable diagnostic power (AUC: 0.758-0.786). Increased NLR, PLR, MLR, RLR, and SII were found to be independent predictors of in-hospital mortality in patients with BAAD (odss ratio: 9.16, 7.68, 9.33, 6, 8.57, respectively). Conclusion: MLR, RLR, and SII are valuable parameters for estimating in-hospital mortality in adult BAAD patients. Increased NLR, PLR, MLR, RLR, and SII in BAAD patients are independent predictors of in-hospital mortality.

Publisher

Acil Tip Uzmanlari Dernegi

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