S95 Rethinking Severity: SIRS Score Outperforms Ranson Criteria in Predicting Pancreatitis Outcomes

Introduction: Acute pancreatitis varies in severity and requires early risk assessment. Traditional Ranson criteria are limited by delayed accuracy. This study evaluates the Systemic Inflammatory Response Syndrome (SIRS) score as an early predictor of outcomes, using HCUP data (2019 to 2024) to assess its link to LOS and readmission. Methods: In our study, we performed a retrospective analysis of the HCUP National Database from 2019 to 2024 to identify patients with acute pancreatitis using specific ICD codes. We collected data on comorbidities, insurance status, educational levels, and hospital admissions. SIRS criteria were assessed on days 1, 2, and 3 of hospital admission. We applied binary logistic regression to identify independent risk factors for readmission. Further, we used area under the receiver operating characteristic curve and relationship mapping techniques to evaluate the risk and predictive accuracy of various variables in the logistic regression model. Results: Data from the Healthcare Cost and Utilization Project National Database were used to analyze hospital admissions from 2019 to 2024, encompassing a total of 2,858,576 adults. Among these, 58,546 patients were diagnosed with pancreatitis, with 21,015 (approximately 44%) being women. The analysis revealed that patients with higher SIRS scores on day 1 experienced increased Length of Stay (LOS) (P = 0.012). Similarly, higher SIRS scores on day 2 were associated with increased LOS (P = 0.0234), while lower SIRS scores corresponded to reduced LOS (P = 0.031). These findings suggest that SIRS criteria could serve as an alternative to the Ranson score for predicting LOS in patients with acute pancreatitis. Conclusion: The findings from our study using the Healthcare Cost and Utilization Project National Database indicate that the Systemic Inflammatory Response Syndrome (SIRS) score effectively predicts hospital outcomes, such as length of stay, in acute pancreatitis patients. Our data shows that higher SIRS scores correlate with increased length of stay, supporting the score’s utility as an early, dynamic assessment tool in clinical settings. The results emphasize the need for further research into integrating SIRS scores into standard practice, potentially enhancing management strategies and improving outcomes by enabling more targeted and timely interventions for acute pancreatitis.

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Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001126840.37154.bc
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

S95 Rethinking Severity: SIRS Score Outperforms Ranson Criteria in Predicting Pancreatitis Outcomes

Sai Reshma Magam, Sri Harsha Boppana, Cesar Orlando Ortiz Bernard, Sindhuja Giridharan et al.
The American Journal of Gastroenterology
Liver Disease Diagnosis and Treatment
article

S95 Rethinking Severity: SIRS Score Outperforms Ranson Criteria in Predicting Pancreatitis Outcomes

Sai Reshma Magam, Sri Harsha Boppana, Cesar Orlando Ortiz Bernard, Sindhuja Giridharan, Paul Mustacchia, Amilcar Guaschino, Wing Hang Lau, Leeza Pannikodu, Rajmohan Rammohan, Achal Patel, Amina Zafar, Dilman Natt, Venkata Panchagnula
article en

Abstract

Introduction: Acute pancreatitis varies in severity and requires early risk assessment. Traditional Ranson criteria are limited by delayed accuracy. This study evaluates the Systemic Inflammatory Response Syndrome (SIRS) score as an early predictor of outcomes, using HCUP data (2019 to 2024) to assess its link to LOS and readmission. Methods: In our study, we performed a retrospective analysis of the HCUP National Database from 2019 to 2024 to identify patients with acute pancreatitis using specific ICD codes. We collected data on comorbidities, insurance status, educational levels, and hospital admissions. SIRS criteria were assessed on days 1, 2, and 3 of hospital admission. We applied binary logistic regression to identify independent risk factors for readmission. Further, we used area under the receiver operating characteristic curve and relationship mapping techniques to evaluate the risk and predictive accuracy of various variables in the logistic regression model. Results: Data from the Healthcare Cost and Utilization Project National Database were used to analyze hospital admissions from 2019 to 2024, encompassing a total of 2,858,576 adults. Among these, 58,546 patients were diagnosed with pancreatitis, with 21,015 (approximately 44%) being women. The analysis revealed that patients with higher SIRS scores on day 1 experienced increased Length of Stay (LOS) (P = 0.012). Similarly, higher SIRS scores on day 2 were associated with increased LOS (P = 0.0234), while lower SIRS scores corresponded to reduced LOS (P = 0.031). These findings suggest that SIRS criteria could serve as an alternative to the Ranson score for predicting LOS in patients with acute pancreatitis. Conclusion: The findings from our study using the Healthcare Cost and Utilization Project National Database indicate that the Systemic Inflammatory Response Syndrome (SIRS) score effectively predicts hospital outcomes, such as length of stay, in acute pancreatitis patients. Our data shows that higher SIRS scores correlate with increased length of stay, supporting the score’s utility as an early, dynamic assessment tool in clinical settings. The results emphasize the need for further research into integrating SIRS scores into standard practice, potentially enhancing management strategies and improving outcomes by enabling more targeted and timely interventions for acute pancreatitis.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 59%
Liver Disease Diagnosis and Treatment
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