Comparative Assessment of the qSOFA, SII, dNLR, and OISS Infection Severity Scores in Diabetic Versus Non-Diabetic Patients with Odontogenic Infections DOI Creative Commons

Otilia Cornelia Bolos,

Bogdan-Valeriu Sorca,

Laura Cristina Rusu

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(12), P. 2712 - 2712

Published: Nov. 27, 2024

Background and Objectives: Odontogenic infections (OIs) can progress rapidly may lead to severe systemic complications, especially in patients with underlying conditions like diabetes mellitus (DM). This study aims evaluate the predictive value of inflammatory scores—quick Sequential Organ Failure Assessment (qSOFA), Systemic Immune–Inflammation Index (SII), derived Neutrophil-to-Lymphocyte Ratio (dNLR), Infection Severity Score (OISS)—in assessing severity OIs diabetic versus non-diabetic patients. Materials Methods: A case–control was conducted on 123 diagnosed OIs. Patients were divided into two groups: (n = 42) who 81). Inflammatory scores calculated at admission correlated clinical outcomes. Statistical analyses included t-tests, chi-square tests, multivariate logistic regression. Results: The exhibited significantly higher OISS (mean 6.5 ± 2.8) compared 4.8 2.1, p < 0.001). markers qSOFA, SII, dNLR elevated group (all 0.01). SII demonstrated highest accuracy for diabetes, an area under curve (AUC) 0.88 (95% CI: 0.80–0.95). Diabetes independent predictor (OR: 3.2, 95% 1.5–6.8, 0.003). Conclusions: scores, particularly are effective predicting odontogenic diabetes. Incorporating these practice enhance early identification high-risk improve management strategies.

Language: Английский

Comparative Assessment of the qSOFA, SII, dNLR, and OISS Infection Severity Scores in Diabetic Versus Non-Diabetic Patients with Odontogenic Infections DOI Creative Commons

Otilia Cornelia Bolos,

Bogdan-Valeriu Sorca,

Laura Cristina Rusu

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(12), P. 2712 - 2712

Published: Nov. 27, 2024

Background and Objectives: Odontogenic infections (OIs) can progress rapidly may lead to severe systemic complications, especially in patients with underlying conditions like diabetes mellitus (DM). This study aims evaluate the predictive value of inflammatory scores—quick Sequential Organ Failure Assessment (qSOFA), Systemic Immune–Inflammation Index (SII), derived Neutrophil-to-Lymphocyte Ratio (dNLR), Infection Severity Score (OISS)—in assessing severity OIs diabetic versus non-diabetic patients. Materials Methods: A case–control was conducted on 123 diagnosed OIs. Patients were divided into two groups: (n = 42) who 81). Inflammatory scores calculated at admission correlated clinical outcomes. Statistical analyses included t-tests, chi-square tests, multivariate logistic regression. Results: The exhibited significantly higher OISS (mean 6.5 ± 2.8) compared 4.8 2.1, p < 0.001). markers qSOFA, SII, dNLR elevated group (all 0.01). SII demonstrated highest accuracy for diabetes, an area under curve (AUC) 0.88 (95% CI: 0.80–0.95). Diabetes independent predictor (OR: 3.2, 95% 1.5–6.8, 0.003). Conclusions: scores, particularly are effective predicting odontogenic diabetes. Incorporating these practice enhance early identification high-risk improve management strategies.

Language: Английский

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