Background Oral and maxillofacial space infection (OMSI) is a relatively severe type of infection in the oral and maxillofacial region, typically involving the interstitial soft tissues of the face and neck. There is still a significant gap in the systematic analysis of clinical factors in existing studies. This study aims to explore the clinical factors influencing Oral and Maxillofacial Space Infection and analyze their relevance to treatment. Methods A total of 408 cases of patients with oral and maxillofacial space infection were collected from the department of Oral and Maxillofacial Surgery of the First Hospital Affiliated to North China University of Science and Technology. Clinical data were classified, recorded, and statistically analyzed. Pearson’s chi-square test was used to preliminarily screen the independent variables, excluding irrelevant factors; Spearman correlation was used to calculate the correlation between independent and dependent variables; Logistic regression analysis was further conducted to explore factors with more significant risk. Support vector machine analysis was performed. Results Pearson’s chi-square test and Spearman correlation analysis showed that gender, age, length of hospital stay, trismus, dysphagia, odontogenic origin, and surgery were associated with the degree of oral and maxillofacial space infection. Single-factor logistic regression analysis showed that gender (OR = 1.834, 95% CI: 1.211–2.755, P = 0.004), age (OR = 0.584, 95% CI: 0.384–0.889, P = 0.012), length of hospital stay (OR = 0.649, 95% CI: 0.426–0.990, P = 0.045), trismus (OR = 5.448, 95% CI: 3.252–9.127, P < 0.001), dysphagia (OR = 31.590, 95% CI: 7.637-130.665, P < 0.001), odontogenic origin (OR = 2.340, 95% CI: 1.267–4.323, P = 0.007), and surgery (OR = 2.847, 95% CI: 1.869–4.337, P < 0.001) were associated with oral and maxillofacial space infection. Multifactor logistic regression showed that gender (OR = 2.006, 95% CI: 1.214–3.315, P = 0.007), age (OR = 0.503, 95% CI: 0.301–0.841, P = 0.009), trismus (OR = 4.225, 95% CI: 2.337–7.640, P < 0.001), dysphagia (OR = 31.071, 95% CI: 7.062-136.709, P < 0.001), and surgery (OR = 2.653, 95% CI: 1.620–4.347, P < 0.001) were associated with oral and maxillofacial space infection. Support vector machine (SVM) analysis revealed a significant correlation between OMSI and length of hospital stay and age. Conclusion The severity of oral and maxillofacial space infection is related to age, trismus, dysphagia, surgery, and length of hospital stay, which may influence the occurrence, development, and treatment outcomes of oral and maxillofacial space infection. It provides an evidence-based reference for clinical treatment decisions, which has important clinical application value and public health significance.

Analysis and research on clinical factors and treatment of infection in oral and maxillofacial space infection

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2025年9月29日

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Xuan Zhang,
Chao Li,
Rui Wang,
Rui Liu,
Hongjuan Lv

摘要

Background

Oral and maxillofacial space infection (OMSI) is a relatively severe type of infection in the oral and maxillofacial region, typically involving the interstitial soft tissues of the face and neck. There is still a significant gap in the systematic analysis of clinical factors in existing studies. This study aims to explore the clinical factors influencing Oral and Maxillofacial Space Infection and analyze their relevance to treatment.

Methods

A total of 408 cases of patients with oral and maxillofacial space infection were collected from the department of Oral and Maxillofacial Surgery of the First Hospital Affiliated to North China University of Science and Technology. Clinical data were classified, recorded, and statistically analyzed. Pearson’s chi-square test was used to preliminarily screen the independent variables, excluding irrelevant factors; Spearman correlation was used to calculate the correlation between independent and dependent variables; Logistic regression analysis was further conducted to explore factors with more significant risk. Support vector machine analysis was performed.

Results

Pearson’s chi-square test and Spearman correlation analysis showed that gender, age, length of hospital stay, trismus, dysphagia, odontogenic origin, and surgery were associated with the degree of oral and maxillofacial space infection. Single-factor logistic regression analysis showed that gender (OR = 1.834, 95% CI: 1.211–2.755, P = 0.004), age (OR = 0.584, 95% CI: 0.384–0.889, P = 0.012), length of hospital stay (OR = 0.649, 95% CI: 0.426–0.990, P = 0.045), trismus (OR = 5.448, 95% CI: 3.252–9.127, P < 0.001), dysphagia (OR = 31.590, 95% CI: 7.637-130.665, P < 0.001), odontogenic origin (OR = 2.340, 95% CI: 1.267–4.323, P = 0.007), and surgery (OR = 2.847, 95% CI: 1.869–4.337, P < 0.001) were associated with oral and maxillofacial space infection. Multifactor logistic regression showed that gender (OR = 2.006, 95% CI: 1.214–3.315, P = 0.007), age (OR = 0.503, 95% CI: 0.301–0.841, P = 0.009), trismus (OR = 4.225, 95% CI: 2.337–7.640, P < 0.001), dysphagia (OR = 31.071, 95% CI: 7.062-136.709, P < 0.001), and surgery (OR = 2.653, 95% CI: 1.620–4.347, P < 0.001) were associated with oral and maxillofacial space infection. Support vector machine (SVM) analysis revealed a significant correlation between OMSI and length of hospital stay and age.

Conclusion

The severity of oral and maxillofacial space infection is related to age, trismus, dysphagia, surgery, and length of hospital stay, which may influence the occurrence, development, and treatment outcomes of oral and maxillofacial space infection. It provides an evidence-based reference for clinical treatment decisions, which has important clinical application value and public health significance.