To evaluate the relationship between neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) with in-hospital mortality in type A acute aortic dissection (AAD). A total of 96 patients who presented to the emergency department between January 2013 and June 2018 with a diagnosis of type A AAD were enrolled in this study. White blood cell count subtypes such as NLR and PLR were calculated at the time of admission. The end point was in-hospital mortality. Of the 96 type A AAD patients included in this analysis, 17 patients (17.7%) died during hospitalization. NLR and PLR were significantly elevated in patients with type A AAD (P<0.001 and <0.001, respectively). Based on the receiver operating characteristic curve, the best NLR cut-off value to predict in-hospital mortality was 9.74, with 70.6% sensitivity and 76.8% specificity, whereas the best PLR cut-off value was 195.8, with 76.5% sensitivity and 78.1% specificity. Admission NLR and PLR levels were important risk factors and independently associated with in-hospital mortality of type A AAD patients.

Background: Acute pancreatitis (AP) may vary in severity, from mild, self-limiting pancreatic inflammation to rapidly progressive life-threatening clinical course. If the severity of AP can be predicted early and treated quickly, it may lead to a decrease in morbidity and mortality rates. There?fore, we aimed to investigate the clinical utility of immature granulocyte count (IGC) and IGC percentage (IG%) in showing the severity of AP in this study. Methods: Two hundred and twenty-seven patients who were admitted to our emergency department and diagnosed with AP between March 1 and September 30, 2019, were included in the study. The patients were divided into two groups as mild and severe AP (MAP and SAP) according to the severity of the disease. Demographic characteristics of the patients, disease etiology, disease severity, and inflammation markers [white blood cell count (WBC), IGC, IG%, neutrophil–lymphocyte ratio (NLR), and C-reactive protein (CRP)] were recorded. Differences between the groups were statistically analyzed. Results: Of the patients included in the study, 183 (80.7%) were in the MAP group and 44 (19.3%) were in the SAP group. The mean WBC, NLR, CRP, IGC, and IG% levels were significantly higher in the SAP group compared to the MAP group. The power of IGC and IG% in predicting SAP was higher than other inflammation markers (WBC, NLR, and CRP) [(AUC for IGC: 0.902; sensitivity: 78.2%; specificity: 92.8%); (AUC for IG%: 0.843; sensitivity: 72.7%; specificity: 84.6%)]. Conclusion: IGC and IG% show the severity of AP more effectively than WBC, NLR, and CRP, which are traditional inflammation markers.