Impact of CT-assessed sarcopenia on the severity of odontogenic deep neck infections: a retrospective cohort study

Sarcopenia is increasingly recognized as a key predictor of adverse health outcomes. This study aimed to evaluate the impact of computed tomography-assessed sarcopenia (CT–SP) on the clinical severity and hospitalization duration of odontogenic deep neck infections (DNIs). Total of 119 patients admitted for odontogenic DNI treatment were included. Patients were divided into two groups by DNI clinical severity (severe or mild) and the patients' characteristics, including CT–SP based on skeletal muscle index (SMI), were compared between two groups. Multivariable logistic regression analysis was performed to identify independent risk factors for severe DNI. The correlation between SMI and hospitalization duration was assessed using Spearman’s rank correlation coefficient. Of the 119 patients, 60 (50.4%) presented with severe DNIs, including deep neck abscesses and necrotizing soft tissue infections. After adjusting for potential confounders, multivariable analysis identified CT–SP as the sole independent risk factor associated with severe DNI (Odds Ratio = 3.04; 95% Confidence Interval, 1.20–7.71; p = 0.019). Furthermore, SMI demonstrated a significant, weak negative correlation with the hospitalization duration (r = − 0.331, p < 0.001). CT–SP is a powerful, independent risk factor associated with severity in patients with odontogenic DNIs. This finding underscores the critical role of systemic host factors in the clinical course of maxillofacial infections and highlights the potential of opportunistic CT screening as a factor to consider in risk stratification in this vulnerable population.