Assessing Infection Severity Scores in Diabetic and Non-Diabetic Patients with Dental Infections
Author Information
Author(s): Bolos Otilia Cornelia, Sorca Bogdan-Valeriu, Rusu Laura-Cristina, Tapalaga Gianina
Primary Institution: Victor Babes University of Medicine and Pharmacy
Hypothesis
This study aims to evaluate the predictive value of inflammatory scores in assessing the severity of odontogenic infections in diabetic versus non-diabetic patients.
Conclusion
Inflammatory scores, particularly SII, are effective in predicting the severity of odontogenic infections in patients with diabetes.
Supporting Evidence
- Patients with diabetes exhibited significantly higher OISS scores compared to non-diabetic patients.
- The SII demonstrated the highest predictive accuracy for severe OIs in patients with diabetes.
- Diabetes mellitus was an independent predictor of severe OIs.
- Inflammatory markers were significantly elevated in the patients with diabetes.
Takeaway
This study found that people with diabetes have more severe dental infections, and certain scores can help doctors predict how serious those infections might be.
Methodology
A case-control study was conducted on 123 patients diagnosed with odontogenic infections, divided into diabetic and non-diabetic groups, with inflammatory scores calculated at admission.
Potential Biases
The reliance on hospital-based data might introduce selection bias, excluding milder cases managed in outpatient settings.
Limitations
The sample size may not be large enough to generalize findings, and the study design does not account for potential confounders.
Participant Demographics
Patients aged 18 years and older diagnosed with odontogenic infections requiring hospitalization, with 42 diabetic and 81 non-diabetic participants.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI: 0.80–0.95
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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