Introduction: Acute pancreatitis (AP) is a potentially life-threatening condition requiring accurate prognostication to guide treatment and resource allocation. This study aims to evaluate the efficacy of combining laboratory parameters with the Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system in predicting the severity and outcomes of AP.

Materials and Methods: A cohort of 50 patients diagnosed with AP was assessed at Mamata Medical College, Khammam. The study involved collecting demographic data, clinical information, laboratory parameters (including serum amylase, lipase, liver and renal function tests, and inflammatory markers), and APACHE II scores. Patients were monitored for complications, length of hospital stay, overall outcomes, ICU admissions, and surgical procedures. Statistical analysis included calculating mean, standard deviation, and P values for each parameter.

Results: The integration of laboratory parameters with APACHE II scores provided a more nuanced assessment of AP severity compared to APACHE II alone. The mean APACHE II score was 13.53 with a standard deviation of 5.04. Laboratory parameters such as serum amylase and lipase levels were significantly correlated with AP severity. The mean length of hospital stay was 10.12 days, with 28% of patients experiencing complications. Overall, 80% of patients recovered, with 18% requiring ICU admission and surgical interventions.

Conclusion: Combining laboratory parameters with the APACHE II scoring system enhances the prognostic accuracy in acute pancreatitis. This approach can aid clinicians in making more informed decisions regarding patient management and resource allocation in AP cases. Future research should focus on validating these findings in larger, multi-center studies and exploring the role of artificial intelligence in further refining prognostication methods.