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Caustic Ingestion: A Risk-Based Algorithm.
Joan Tosca1, Ana Sánchez1, Ana Sanahuja1
1Department of Digestive Medicine, Hospital Clínic Universitari de València, Universitat de València, Valencia, Spain.
A new risk-based algorithm for caustic ingestion improves diagnosis accuracy while reducing the need for medical imaging and procedures. This approach helps manage patients more efficiently, decreasing healthcare resource consumption.
Area of Science:
- Gastroenterology
- Toxicology
- Emergency Medicine
Background:
- Caustic ingestion management requires improved diagnostic strategies.
- Current approaches may lead to unnecessary resource consumption.
Purpose of the Study:
- Develop and evaluate a risk-based diagnostic algorithm for caustic ingestion.
- Compare its accuracy and resource use against radiological and classical methods.
Main Methods:
- Prospective analysis of 532 adult caustic ingestion cases (1995-2021).
- Identified risk factors for adverse outcomes (ICU admission, surgery, death).
- Developed a predictive algorithm and compared its diagnostic accuracy and resource consumption.
Main Results:
- The developed algorithm demonstrated a high diagnostic odds ratio (167.2).
- It could reduce the need for examinations, with 50.6% of patients requiring none.
- Endoscopy and computed tomography use decreased significantly compared to other methods.
Conclusions:
- A risk-based algorithm can enhance caustic ingestion management.
- High diagnostic accuracy is maintained while significantly reducing the need for diagnostic tests.
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