Eurasian Journal of Critical Care

Eurasian Journal of Critical Care

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

Yazarlar: ["Murat DUYAN", "Ali SARIDAŞ", "Nafis VURAL"]

Cilt - , Sayı Cilt: 4 Sayı: 3 , 2022 , Sayfalar -

Konular:-

DOI:10.55994/ejcc.1193021

Anahtar Kelimeler:RDW to lymphocyte ratio,Monocyte to lymphocye ratio,Acute aortic dissection type B,In-hospital death

Özet: 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.


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