Understanding Acute Pancreatitis

Acute pancreatitis (AP) is a serious condition that needs quick diagnosis and treatment. Correctly assessing how severe the condition is helps in providing the right care at the start.

Aim of the Study

This study looks at how effective certain inflammatory markers and scoring systems are in determining the severity of early-phase AP.

Methods Used

The study involved 463 patients with AP who were admitted to our hospital from January 1, 2021, to June 30, 2024. We analyzed inflammation markers and scoring systems to see how they relate to different severity levels of AP.

Key Findings

Out of 463 patients, 50 (about 11%) had severe acute pancreatitis (SAP). The study found:

White blood cell counts increased significantly with severity.
Prognostic nutritional index (PNI48) and calcium levels decreased as severity increased.
C-reactive protein (CRP48), calcium, and PNI48 are key indicators to predict SAP.

The study’s predictive models showed strong reliability in forecasting SAP risks.

Conclusions

The main risk factors for developing SAP are CRP48, calcium levels, and PNI48. Scoring systems like CTSI and BISAP, and combinations of PNI48 with the Ranson score, can effectively predict SAP.

Opportunities for Improvement

Based on these findings, clinics can:

Define Measurable Outcomes: Establish clear goals for using scoring systems and inflammation markers in assessing AP severity.
Select AI Tools: Choose AI solutions that meet specific clinical needs for analyzing patient data effectively.
Implement Gradually: Start with a small project, monitor results using AI tools, and assess the real-world impact on patient care.