Third day laboratory follow-up: mandatory for surgical site infections of tibial plateau fractures

Using multiple indicators to predict the risk of surgical site infection after ORIF of tibia fractures: a machine learning based study

Objective

Surgical site infection (SSI) are a serious complication that can occur after open reduction and internal fixation (ORIF) of tibial fractures, leading to severe consequences. This study aimed to develop a machine learning (ML)-based predictive model to screen high-risk patients of SSI following ORIF of tibial fractures, thereby aiding in personalized prevention and treatment.

Methods

Patients who underwent ORIF of tibial fractures between January 2018 and October 2022 at the Department of Emergency Trauma Surgery at Ganzhou People's Hospital were retrospectively included. The demographic characteristics, surgery-related variables and laboratory indicators of patients were collected in the inpatient electronic medical records. Ten different machine learning algorithms were employed to develop the prediction model, and the performance of the models was evaluated to select the best predictive model. Ten-fold cross validation for the training set and ROC curves for the test set were used to evaluate model performance. The decision curve and calibration curve analysis were used to verify the clinical value of the model, and the relative importance of features in the model was analyzed.

Results

A total of 351 patients who underwent ORIF of tibia fractures were included in this study, among whom 51 (14.53%) had SSI and 300 (85.47%) did not. Of the patients with SSI, 15 cases were of deep infection, and 36 cases were of superficial infection. Given the initial parameters, the ET, LR and RF are the top three algorithms with excellent performance. Ten-fold cross-validation on the training set and ROC curves on the test set revealed that the ET model had the best performance, with AUC values of 0.853 and 0.866, respectively. The decision curve analysis and calibration curves also showed that the ET model had the best clinical utility. Finally, the performance of the ET model was further tested, and the relative importance of features in the model was analyzed.

Conclusion

In this study, we constructed a multivariate prediction model for SSI after ORIF of tibial fracture through ML, and the strength of this study was the use of multiple indicators to establish an infection prediction model, which can better reflect the real situation of patients, and the model show great clinical prediction performance.

Long-term sequelae of septic arthritis after tibial plateau fracture fixation: does timing matter?

INTRODUCTION

Septic arthritis following surgical treatment of a tibial plateau fracture is a rare complication, but it does occur, and the impact on long-term function is relatively unknown. The purpose of this study was to determine the long-term sequelae of septic arthritis among patients treated with internal fixation for a tibial plateau fracture and to determine the effect of timing (early or late infection) on the rate of such sequela.

MATERIALS AND METHODS

A retrospective comparative study was designed using the trauma database of a single level I academic trauma center. Patients who developed culture-positive septic knee arthritis after internal fixation of a tibial plateau fracture, with 1-year follow-up, were included in the study. The number of debridement procedures required was recorded. Rates of long-term complications and implant removal were identified. Complications rates were compared between patients who developed early (within 30 days of definitive fixation) and late (more than 30 days) septic arthritis.

RESULTS

The mean number of debridement procedures per patient was six. Fourteen patients (88%) required implant removal, and thirteen (81%) developed knee arthritis. There was a significantly lower rate of complications in the early septic arthritis group compared to the late group (3 of 6 patients or 50%, vs 10 of 10 patients or 100%; p = 0.036).

CONCLUSIONS

Patients who developed septic arthritis following internal fixation of a tibial plateau fracture were likely to endure long-term sequelae. Early infection and detection led to fewer complications. Surgeons treating infectious complications in tibial plateau fracture patients should specifically seek to rule out septic arthritis, anticipate that implant removal may be necessary, and counsel these patients appropriately regarding the anticipated natural history of their condition.

LEVEL OF EVIDENCE

III.