Clinical characteristics, treatment and efficacy of calcaneal osteomyelitis: A systematic review with synthesis analysis 1118 reported cases.

BACKGROUND: Calcaneal osteomyelitis (CO) still poses great challenges to orthopaedic surgeons due to unique anatomic and functional features of the calcaneus. This study summarized the current data regarding clinical characteristics, treatment and efficacy of CO, based on an analysis of literature-reported cases. MATERIALS AND METHODS: We searched the PubMed, Embase, and Cochrane Library databases to find English and Chinese studies reporting on CO patients between 2000 and 2021, with available data for synthesis analysis. The quality of the included studies was evaluated by the National Institutes of Health (NIH) assessment scale. Effective data were extracted and pooled for analysis. RESULTS: Altogether 198 studies involving 1118 patients were included, with a male-to-female ratio of 2.3 (724 males and 310 females). The median age at CO diagnosis was 46 years, with a median symptom duration of 3 months. Injury-related infections (524 cases) and diabetic foot infections (336 cases) were the two most common causes, with ulcer (468 cases) and wound sinus or exudation (209 cases) being the predominant symptoms. The overall positive culture rate was 80.2%, with polymicrobial infections accounting for 18.1%. Staphylococcus aureus was the most frequently detected pathogen (42.7%), with fungal-related infections isolated in 17 cases. Although most patients received surgical interventions (96.9%), the recurrence rate was 20.1%. The incidence of infection relapse following partial calcanectomy, total calcanectomy, debridement with implantation of local antibiotics, and debridement with or without flap or skin coverage were 31.7%, 45.0%, 16.8%, and 15.1%, respectively. The overall incidence of limb amputation was 12.4%, with all-cause and CO-related mortalities of 2.8% and 0.2%, separately. CONCLUSIONS: CO shared similar characteristics with extremity chronic osteomyelitis, primarily affecting young males, with trauma and diabetic foot as the leading causes and Staphylococcus aureus as the most frequently detected pathogen. Despite surgery being the primary treatment modality, clinical outcomes remained unsatisfactory, marked by high rates of infection recurrence and limb amputation.

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.

[Case-control study of therapeutic effects between extreme lateral interbody fusion and conventional posterior operation for the treatment of upper lumbar disc herniation].

OBJECTIVE: To evaluate the clinical outcomes between extreme lateral interbody fusion and conventional posterior operation in the treatment of upper lumbar disc herniation. METHODS: Among 60 patients with upper lumbar disc herniation were treated with extreme lateral interbody fusion(XLIF) or conventional posterior operation from June 2010 to December 2014, 30 patients(19 males and 11 females) were treated with XLIF (XLIF group); and the other 30 patients(17 males and 13 females) were treated with conventional posterior operation (conventional group). In XLIF group, the lesions occurred at T12L1 segments in 2 patients, at L1,2 segments in 6 patients, at L2,3 segments in 10 patients, and at L3,4 segment in 12 patients. In conventional group, the lesions occurred at T12L1 segments in 1 patient, at L1,2 segments in 6 patients, at L2,3 segments in 8 patients, and at L3,4 segment in 15 patients. Operative incision lengths, time, blood loss, postoperative draining volume, hospital stays were recorded. Pre-and post-operative visual analogue score(VAS) and Japanese Orthopedic Association(JOA) were compared between two groups. According to the image data, the intervertebral fusion device was observed to be displaced and the rate of interbody fusion was analyzed. RESULTS: All the patients were followed up, and the duration ranged from 12 to 48 months, with an average of 29 months. The complications included 2 femoral nerve damage in XLIF group (postoperative recovery within 3 months) and superficial incision infection in conventional group(cured by anti-infection). There were no patients with cerebrospinal fluid leakage(CSFL), cauda equina injuries or functional deterioration in the nerve root of lower limbs. In the XLIF group: the operative time was (65.6±20.5) minutes, blood loss was (48.8±15.3) ml, postoperative draining volume was 0 ml. In the conventional group: the operative time was (135.2±33.9) minutes, blood loss was (260.3±125.7) ml, postoperative draining volume was (207.1±50.2) ml. The operative time, blood loss, postoperative draining volume in XLIF group were less than those in the conventional group(P<0.05). The JOA and VAS score were significantly improved in both groups during the follow-up period compared with those before operation(P<0.05). But the difference of the JOA and VAS score between the two groups 1, 6, and 24 months after surgery had not significant differences(P>0.05). There were no significant differences in the fusion rate between the two groups 6 and 12 months after operation(P>0.05). CONCLUSIONS: The XLIF fusion for the treatment of upper lumbar disc herniation has several advantages such as minimal invasive, stable vertebral plate, less complications and postoperative fusion rate, which has a better clinical effect.