Clinical value of the Systemic Inflammatory Response Index for predicting acute pancreatitis severity in Vietnamese setting

Author:

Dao Yen H T1,Huynh Tien M12ORCID,Tran Duy T3,Ho Phat T4,Vo Thong D12ORCID

Affiliation:

1. University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City Vietnam

2. University Medical Center Ho Chi Minh City Ho Chi Minh City Vietnam

3. 30‐4 Hospital Ho Chi Minh City Vietnam

4. Cho Ray Hospital Ho Chi Minh City Vietnam

Abstract

AbstractBackground and AimAccurate prediction of severe acute pancreatitis (SAP) is crucial for timely intervention. This study focuses on the Systemic Inflammatory Response Index (SIRI) to assess its clinical value in predicting the severity of AP in the Vietnamese context.MethodsA cross‐sectional prospective study was conducted with acute pancreatitis patients at a national hospital in Ho Chi Minh City. The patients were classified into nonsevere and severe groups, and the clinical characteristics were analyzed. The predictive abilities of SIRI, calculated using neutrophil × monocyte/lymphocyte, was assessed for predictive abilities. Multivariate regression and receiver operating characteristics (ROC) curves evaluated the prognostic factors and predictive accuracy.ResultsAmong 207 patients, 78.7% had nonsevere AP, and 21.3% had SAP. The severe group exhibited a significantly higher median SIRI (12.0) than the nonsevere group (4.9) (P < 0.001). Multivariate regression identified SIRI (odds ratio [OR] = 1.623) as an independent predictor of SAP. The ROC curve determined a SIRI cutoff of 7.82 with an area under the curve (AUC) of 0.737. Combining the SIRI and Bedside Index for Severity in Acute Pancreatitis (BISAP) score improved the predictive ability (AUC = 0.820) with increased sensitivity (90.91%) (P < 0.001).ConclusionSIRI, particularly when combined with the BISAP score, shows significant potential to predict SAP severity in the Vietnamese clinical setting, providing valuable information for effective patient management.

Publisher

Wiley

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