BioRisk-S (Biological Risk-Stomatognathic): A Predictive Algorithm for Early Systemic Detection of Stomatognathic...

Area of Science:

• Biomarkers and predictive modeling in oral health.
• Systemic-oral health interconnections.
• Preventive healthcare strategies.

Background:

• Stomatognathic system dysfunction can precede clinical symptoms.
• Subtle biological changes like inflammation may indicate early dysfunction.
• The BioRisk-S algorithm was developed to detect subclinical systemic alterations.

Purpose of the Study:

• To introduce and validate the BioRisk-S algorithm for early detection of stomatognathic dysfunction.
• To assess the correlation between systemic biomarkers and early functional changes.
• To evaluate the predictive accuracy of the BioRisk-S algorithm.

Main Methods:

• 260 healthy adults were assessed at baseline and 6 months.
• Routine lab tests measured hs-CRP, NLR, and vitamin D.
• BioRisk-S algorithm integrated biomarkers to assess systemic imbalance.

Main Results:

• Higher BioRisk-S scores correlated with higher hs-CRP, NLR, and lower vitamin D.
• Individuals with high BioRisk-S scores showed increased early signs of dysfunction.
• The BioRisk-S algorithm demonstrated good predictive accuracy (AUC=0.84).

Conclusions:

• BioRisk-S is a feasible, low-cost tool for early systemic screening of stomatognathic imbalance.
• It identifies at-risk individuals before visible symptoms manifest.
• Supports preventive and personalized oral and systemic health management.