Predictive value of combined CONUT score and BISAP score for severe acute pancreatitis
10.3760/cma.j.cn114656-20250305-00155
- VernacularTitle:CONUT评分联合BISAP评分对重症急性胰腺炎的预测价值
- Author:
Huanan XU
1
;
Mengwei CUI
;
Qiaofang WANG
;
Yaodong SONG
;
Chaopeng MEI
;
Changju ZHU
Author Information
1. 郑州大学第一附属医院急诊医学部，郑州 450052
- Keywords:
Severe acute pancreatitis;
CONUT score;
BISAP score;
Predictive value
- From:
Chinese Journal of Emergency Medicine
2025;34(10):1363-1368
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the predictive value of the Controlling Nutritional Status (CONUT) score for severe acute pancreatitis (SAP).Methods:A total of 426 patients with acute pancreatitis (AP) admitted to the First Affiliated Hospital of Zhengzhou University between January and December 2024 were retrospectively reviewed. After applying exclusion criteria, 189 patients were included and classified into non-severe AP (NSAP) and SAP groups according to diagnostic criteria. Demographic characteristics (age, sex, underlying diseases), vital signs, CONUT score, Bedside Index for Severity in Acute Pancreatitis (BISAP) score, and laboratory parameters (including complete blood count, blood glucose, liver and kidney function, coagulation profile, amylase, and lipase) on admission were compared between the two groups. Binary logistic regression was used to identify independent risk factors associated with AP severity. Receiver operating characteristic (ROC) curves were generated to assess the predictive performance of each indicator by determining the area under the curve (AUC), sensitivity, specificity, and optimal cutoff values.Results:Compared with the NSAP group, the SAP group had significantly longer hospital stays, higher respiratory rates, and elevated levels of PCT, CRP, absolute neutrophil count, AST, GGT, PT, D-dimer, INR, fibrinogen, FDP, as well as higher CONUT, SIRS, and BISAP scores (all P < 0.05). In contrast, the NSAP group showed significantly higher red blood cell count, hemoglobin, absolute lymphocyte count, serum calcium, albumin, total cholesterol, prothrombin time activity, and PNI score (all P < 0.05). Binary logistic regression analysis identified CONUT score ( OR = 1.623, 95% CI: 1.048–2.512) and BISAP score ( OR = 19.608, 95% CI: 6.585–58.387) as independent risk factors for disease severity. The AUC values for predicting SAP using CONUT score, BISAP score, and their combination were 0.694, 0.815, and 0.864, respectively. Conclusions:The CONUT score is an early independent risk factor for SAP. Combining CONUT with BISAP scores provides better predictive performance for assessing the severity of acute pancreatitis.
