Investigating the Correlation between Severe Acute Pancreatitis and Pancreatic Necrosis with Some Serum Parameters

Autor: Server Sezgin, Uludağ, Nazim, Güreş, Sabri, Şirolu, Ahmet, Aşkar, Ahmet Necati, Şanlı, Abdullah Kağan, Zengin, Mehmet Faik, Özçelik
Rok vydání: 2022
Předmět:
Zdroj: Turkish Journal of Trauma and Emergency Surgery.
ISSN: 1306-696X
Popis: Acute pancreatitis (AP) is a disease related to significant morbidity and even mortality. Various factors are involved in the etiology, especially gallstones and excessive alcohol consumption. Although, the course of the disease in most of the cases is generally mild, in some cases, the disease can be severe and lead to pancreatic or peripancreatic necrosis. Radiologically, 'Balthazar computed tomography severity index' (CTSI) is used to assess the severity and presence of necrosis in pancreatitis. In this study, we classified the severity of AP in patients with Balthazar CTSI and investigated whether there is a correlation between some serum parameters and AP severity and which serum parameters can be used as a safe marker to predict the AP severity and the development of pancreatic necrosis (PN).A total of 341 patients diagnosed with AP and hospitalized in our general surgery clinic between the years 2012 and 2018 were included in this study. Hematological and biochemical parameters of the patients were recorded. Abdominal CT's of the patients were evaluated according to the Balthazar CTSI. The correlation between these parameters and AP severity evaluated by Balthazar CTSI was investigated.PN was detected in 19.4% of 341 patients who participated in the study. Patients whose PN detected in their abdominal CT's by Balthazar CTSI; neutrophil counts, neutrophil/lymphocyte ratio (NLR), thrombocyte/lymphocyte ratio, plateletlymphocyte ratio, and neutrophil/monocyte ratio (NMR) were significantly higher and the serum albumin was significantly lower than patients with PN.Neutrophil count, serum albumin levels, NLR, LR, and NMR can be used as predictive markers to determine AP severity.
Databáze: OpenAIRE