Development and validation of the International Classification for Orofacial Pain Algorithm.

Area of Science:

• Dentistry
• Neurology
• Pain Medicine

Background:

• Orofacial pain (OFP) presents complex diagnostic challenges.
• The 2020 International Classification of Orofacial Pain (ICOP) framework is extensive, posing usability issues in clinical settings.
• Standardizing OFP diagnosis is crucial for effective patient management.

Purpose of the Study:

• To develop and validate the International Classification of Orofacial Pain Algorithm (ICOP-AL), a flowchart tool to simplify ICOP implementation.
• To enhance diagnostic precision and clinical applicability of OFP classification.
• To assess the reliability and standardization potential of the ICOP-AL.

Main Methods:

• Developed a flowchart-based algorithm (ICOP-AL) integrating ICOP criteria with established diagnostic standards.
• Validated the ICOP-AL using 100 anonymized patient cases.
• Evaluated ICOP-AL performance against expert clinician diagnoses and nonexpert evaluators.

Main Results:

• The ICOP-AL demonstrated substantial agreement with expert diagnoses (Cohen's Kappa κ = 0.688, P < 0.001).
• The algorithm outperformed nonexpert evaluators in diagnostic accuracy.
• Results indicate potential for standardizing OFP diagnostic outcomes.

Conclusions:

• The ICOP-AL offers a structured and accessible approach to OFP diagnosis, facilitating ICOP integration into clinical practice.
• The tool shows promise for improving diagnostic reliability and efficiency in managing orofacial pain.
• Further validation is needed for detailed diagnoses and broader clinical adoption.