Postoperative 3D computed tomographic evaluation of 92 calcaneal fracture reduction using the sinus tarsi technique and fixation with 3.5 mm cortical screws.

BACKGROUND: Fixation of calcaneus through the sinus tarsi approach is increasingly popular due to the lower rate of wound complications. The use of postoperative CT provided a better evaluation tool than using plain radiography. Our objective of the present study is to evaluate the quality of fracture reductions by postoperative 3D CT scans after surgical intervention using the sinus tarsi approach and fixation with 3.5 cortical screws. METHODS: Between January 2018 and April 2020, 86 consecutive patients with 92 closed displaced intra-articular calcaneal fractures underwent ORIF with 3.5 mm screws constructed via a minimally invasive sinus tarsi approach by a single foot and ankle surgeon. RESULTS: The preoperative radiographic assessment found 36 joint depression type and 56 tongue type fractures according to the Essex-Lopresti classification. Preoperative CT assessment found 82 type II and 10 type III according to the Sander classification. Analysis of pre- and postoperative CT parameters showed that the height of the posterior facet, the length of the posterior facet, Gissane, and Bohler's angle were significantly improved. In addition, the means of posterior facet step-off in postoperative CT was 1.07, and 72% of posterior facet reductions were < 2 mm step-offs. CONCLUSION: With postoperative CT scan assessment, the treatment of displaced intra-articular calcaneal fracture with 3.5 mm screws via sinus tarsi approach has achieved good quality of reduction. Therefore, the screws-only technique is an option for treating calcaneal fracture with less soft tissue damage and implant cost.

Independent predictors and clinical predictive score of postanesthetic reintubation after general anesthesia: A time-matched, case control study.

Background and Aims: Postanesthetic reintubation is associated with increased morbidities and mortality; however, it can be reduced with defined predictors and using a score as a tool. This study aimed to identify independent predictors and develop a reliable predictive score. Material and Methods: A retrospective, time-matched, case control study was conducted on patients who underwent general anesthesia between October 2017 and September 2021. Using stepwise multivariable logistic regression analysis, predictors were determined and the predictive score was developed and validated. Results: Among 230 patients, 46 were in the reintubated group. Significant independent predictors included age >65 years (odds ratio [OR] 2.96 [95% confidence interval {CI} 1.23, 7.10]), the American Society of Anesthesiologists physical status III-IV (OR 6.60 [95%CI 2.50 17.41]), body mass index (BMI) ≥30 kg/m2 (OR 4.91 [95% CI 1.55, 15.51]), and head and neck surgery (OR 4.35 [95% CI 1.46, 12.87]). The predictive model was then developed with an area under the receiver operating characteristic curve (AUC) of 0.84 (95% CI 0.78, 0.90). This score ranged from 0 to 29 and was classified into three subcategories for clinical practicability, in which the positive predictive values were 6.01 (95% CI 2.63, 11.50) for low risk, 18.64 (95% CI 9.69, 30.91) for moderate risk, and 71.05 (95% CI 54.09, 84.58) for high risk. Conclusion: The independent predictors for postanesthetic reintubation according to this simplified risk-based scoring system designed to aid anesthesiologists before extubation were found to be advanced age, higher American Society of Anesthesiologists physical status, obesity, and head and neck surgery.

A Comparative Factor Analysis and New Magnetic Resonance Imaging Scoring System for Differentiating Pyogenic Versus Tuberculous Spondylodiscitis.

OBJECTIVE: This study aimed to compare and analyze differences in clinical and magnetic resonance imaging (MRI) findings between tuberculous spondylodiscitis (TbS) and pyogenic spondylodiscitis (PyS), and to develop and validate a simplified multiparameter MRIbased scoring system for differentiating TbS from PyS. METHODS: We compared predisposing factors in 190 patients: 123 with TbS and 67 with PyS, confirmed by laboratory tests, culture, or pathology. Data encompassing patient demographics, clinical characteristics, laboratory results, and MRI findings were collected between 2015 and 2020. Data were analyzed using logistic regression methods, and selected coefficients were transformed into an MRI-based scoring system. Internal validation was performed using bootstrapping method. RESULTS: Univariate analysis revealed that the significant risk factors associated with TbS included thoracic lesions, vertebral destruction > 50%, intraosseous abscess, thin-walled abscess, well-defined paravertebral abscess, subligamentous spreading, and epidural abscess. Multivariate analysis revealed that only thoracic lesions, absence of epidural phlegmon, subligamentous spreading, intraosseous abscesses, well-defined paravertebral abscesses, epidural abscesses, and absence of facet joint arthritis were independent predictive factors for TbS (all p < 0.05). These potential predictors were used to derive an MRI scoring system. Total scores ≥ 14/29 points significantly predicted the probability of TbS, with a sensitivity of 97.58%, specificity of 92.54%, and an area under the curve of 0.96 (95% confidence interval, 125.40-3,257.95). CONCLUSION: This simplified MRI-based scoring system for differentiating TbS from PyS helps guide appropriate treatment when the causative organism is not identified.