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ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 39 Issue 10
Oct.  2023
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Article Navigation >  Journal of Clinical Hepatology  > 2023  >  39(10): 2432-2442

Establishment of a modified BISAP scoring system and its clinical significance in the early diagnosis and prognostic evaluation of severe acute pancreatitis

DOI: 10.3969/j.issn.1001-5256.2023.10.022

  • Department of Gastroenterology，Third Xiangya Hospital，Central South University，Changsha 410013，China

Research funding:

Natural Science Foundation of Hunan Province (2020JJ8107)

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  • Corresponding author: LIU Shaojun， cslsj169@126.com （ORCID： 0000－0002－8386－8109）
  • Received Date: 2023-02-06
  • Published Date: 2023-10-30
    Abstract
  •   Objective  To establish a modified BISAP scoring system， and to investigate the value of the BISAP scoring system versus the modified BISAP scoring system in assessing the severity and condition of acute pancreatitis （AP）.  Methods  For the establishment of the new scoring system， a retrospective analysis was performed for the clinical data of 1 033 patients with AP who were admitted to Third Xiangya hospital of central South University from January 2019 to December 2021， and according to the revised Atlanta classification， they were divided into mild acute pancreatitis （MAP） group with 827 patients and severe acute pancreatitis （SAP） group with 206 patients. The two groups were compared in terms of clinical features， laboratory markers， and imaging data. A binary logistic regression analysis was performed for the statistically significant indicators to screen for the independent risk factors for SAP. The receiver operating characteristic （ROC） curve was used to obtain the optimal cut－off value corresponding to the maximum Youden index for each independent risk factor， and a score of 0 or 1 was assigned depending on different situations， which was integrated into the BISAP scoring system to establish a modified BISAP scoring system. For the validation of the new scoring system， a retrospective analysis was performed for the clinical data of 473 patients with AP who were admitted to Third Xiangya hospital of central South University from January 2017 to December 2018. BISAP score and modified BISAP score were determined for each patient， and the area under the ROC curve （AUC） was used to compare the value of the two scoring systems in predicting the severity and prognosis of AP. The chi－square test or the Fisher’s exact test was used for comparison of categorical data between two groups， and the independent－samples t test and the Mann－Whitney U test were used for comparison of continuous data between two groups.  Results  For the establishment of the new scoring system， there were significant differences between the MAP group and the SAP group in mode of admission， length of hospital stay， ICU admission rate， number of deaths， underlying diseases， and incidence rate of complications （all P<0.05）. The binary logistic regression analysis showed that body temperature， neutrophil－to－lymphocyte ratio （NLR）， C－reactive protein （CRP）， albumin， triglycerides， D－dimer， fibrinogen， and MCTSI score were independent risk factors for SAP （all P<0.05）. The ROC curve analysis showed that CRP （AUC=0.921）， NLR （AUC=0.798）， D－dimer （AUC=0.768）， and MCTSI score （AUC=0.931） had a good predictive value for SAP， and the combination of these four indicators had an AUC of 0.976 and showed a significantly higher diagnostic efficiency than each indicator alone or the combination of two or three indicators （all P<0.05）. For the validation of the new scoring system， a total of 473 patients were enrolled， with 408 in the MAP group and 65 in the SAP group， and there were significant differences between the two groups in mode of admission， length of hospital stay， ICU admission rate， number of deaths， and incidence rate of complications （all P<0.05）. The modified BISAP score was better than the BISAP score in predicting SAP （AUC： 0.972 vs 0.887， P<0.05）， with an optimal cut－off value of >3 points. The modified BISAP score also had a relatively high value in predicting the mortality of AP patients （AUC=0.910）， but there was no significant difference between the modified BISAP score and the BISAP scoring system （AUC： 0.910 vs 0.896， P=0.707）.  Conclusion  The modified BISAP score is better than the BISAP score in predicting the severity of AP and has a relatively high value in predicting the mortality of AP patients， giving a more accurate， objective， and early assessment of the condition of AP patients.

     

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