A comparison of scoring systems and biomarkers to predict the severity of acute pancreatitis in patients referring to the emergency clinic

Ayse Vahapoglu,Mustafa Calik

MEDICINE(2024)

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摘要
To investigate scoring systems and biomarkers for determining the severity and prognosis of acute pancreatitis (AP). Between January and July 2023, 100 patients with AP diagnosed and treated in the emergency department were included. AP was divided into 2 groups according to severity: mild AP and moderately severe AP (MSAP-SAP), according to the revised Atlanta Classification in 2012. Demographic characteristics, severity, intensive care unit (ICU) admission, white blood cell count (WBC), hematocrit, red cell distribution width from whole blood taken at admission and 48 hours later, C-reactive protein (CRP) and biochemistry values, Bedside Index for Severity in Acute Pancreatitis (BISAP), Pancreatitis Activity Scoring System (PASS), and harmless AP score scores were recorded retrospectively. Our variables, which were found to be significant in multiple logistic regression results, were found to increase MSAP-SAP expectation by 4.36-, 7.85-, 6.63 and 5.80 times in the presence of CRP > 47.10, WBC > 13.10, PASS > 0, and necrotizing computed tomography findings, respectively. It was detected that the risk factor which was found significant as a single variable affecting the ICU admission increased the risk of ICU requirement by 28.88 when PASS > 0, by 3.96 when BISAP > 1, and it increased the Atlanta score by 9.93-fold. We found that WBC and CRP values at the time of hospital admission and WBC, CRP, and red cell distribution width values after 48 had the highest accuracy in determining AP disease severity. BISAP, which was found to be significant in determining MSAP-SAP expectations, lost its significance in multiple logistic regression results, and PASS was found to be effective. The PASS is an important score in the clinical evaluation of patients with AP and in determining the need for ICU hospitalization.
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关键词
acute pancreatitis,biomarkers,scoring systems,severity
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