Objective:
Patients with mild oral and maxillofacial space infection (OMSI) usually need only antimicrobial therapy. However, surgical intervention is eventually needed after using antibiotics for a period. The objective of this study was to explore the risk factors for drug therapy failure in OMSI.
Subjects and methods:
A retrospective case‒control study was designed. From August 2020 to September 2022, patients at Shanghai Jiao Tong University Affiliated Ninth People's Hospital who were diagnosed with OMSI were retrospectively reviewed. The outcome variable was surgical intervention after the use of antibiotics. We collected common biological factors, including demographic characteristics, routine blood test results, C-reactive protein (CRP) levels and composite indicators, such as neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR). The χ2 test and binary logistic regression were used to examine the association between biological factors and the outcome variable.
Results:
Forty-six patients were included in this study. Further surgical intervention was needed in 20 patients (43.5%). The NLR showed a significant association with further surgical drainage (p=0.01). A binary logistic regression equation was found by using stepwise regression based on the Akaike information criterion (R2=0.443), which was associated with sex (odds ratio [OR], 0.216; p=0.092), NLR (OR, 1.258; p=0.045), red blood cell (RBC) count (OR, 4.372; p=0.103) and monocyte (MONO) count (OR, 9.528, p=0.023). Receiver operating characteristic analysis produced an area under the curve for NLR of 0.725 (p=0.01) and for the binary logistic regression model of 0.8365 (p<0.001).
Conclusion:
Surgical interventions are needed in some mild OMSI patients when antimicrobial therapy fails to stop the formation of abscesses. The binary logistic regression model shows that NLR can be used as an ideal prognostic factor to predict the outcome of antimicrobial therapy and the possibility of requiring surgical intervention.
Statement of clinical relevance:
Using simple, inexpensive, and easily achieved biological parameters (such as routine blood test results) and composite indicators calculated by them (such as NLR) to predict whether surgical intervention is needed in the future provides a reference for clinical doctors and enables more cost-effective and efficient diagnosis and treatment.