Objectives The incidence and adverse events of postoperative blood transfusion in spinal tuberculosis (TB) have attracted increasing attention. Our purpose was to develop a prediction model to evaluate blood transfusion risk after spinal fusion (SF) for spinal TB. Methods Nomogram and machine learning algorithms, support vector machine (SVM), decision tree (DT), multilayer perceptron (MLP), Naive Bayesian (NB), k-nearest neighbors (K-NN) and random forest (RF), were constructed to identified predictors of blood transfusion from all spinal TB cases treated by SF in our department between May 2010 and April 2020. The prediction performance of the models was evaluated by 10-fold cross-validation. We calculated the average AUC and the maximum AUC, then demonstrated the ROC curve with maximum AUC. Results The collected cohort ultimately was consisted of 152 patients, where 56 required allogeneic blood transfusions. The predictors were surgical duration, preoperative Hb, preoperative ABL, preoperative MCHC, number of fused vertebrae, IBL, and anticoagulant history. We obtained the average AUC of nomogram (0.75), SVM (0.62), k-NM (0.65), DT (0.56), NB (0.74), MLP (0.56) and RF (0.72). An interactive web calculator based on this model has been provided (https://drwenleli.shinyapps.io/STTapp/). Conclusions We confirmed seven independent risk factors affecting blood transfusion and diagramed them with the nomogram and web calculator.
BackgroundThe published literatures indicate that patients with osteoporotic vertebral compression fractures (OVCFs) benefit significantly from percutaneous kyphoplasty (PKP), but this surgical technique is associated with frequent postoperative recollapse, a complication that severely limits long-term postoperative functional recovery.MethodsThis study retrospectively analyzed single-segment OVCF patients who underwent bilateral PKP at our academic center from January 1, 2017 to September 30, 2019. Comparing the plain films of patients within 3 days after surgery and at the final follow-up, we classified patients with more than 10% loss of sagittal anterior height as the recollapse group. Univariate and multivariate logistic regression analyses were performed to determine the risk factors affecting recollapse after PKP. Based on the logistic regression results, we constructed one support vector machine (SVM) classifier to predict recollapse using machine learning (ML) algorithm. The predictive performance of this prediction model was validated by the receiver operating characteristic (ROC) curve, 10-fold cross validation, and confusion matrix.ResultsAmong the 346 consecutive patients (346 vertebral bodies in total), postoperative recollapse was observed in 40 patients (11.56%). The results of the multivariate logistical regression analysis showed that high body mass index (BMI) (Odds ratio [OR]: 2.08, 95% confidence interval [CI]: 1.58–2.72, p < 0.001), low bone mineral density (BMD) T-scores (OR: 4.27, 95% CI: 1.55–11.75, p = 0.005), presence of intravertebral vacuum cleft (IVC) (OR: 3.10, 95% CI: 1.21–7.99, p = 0.019), separated cement masses (OR: 3.10, 95% CI: 1.21–7.99, p = 0.019), cranial endplate or anterior cortical wall violation (OR: 0.17, 95% CI: 0.04–0.79, p = 0.024), cement-contacted upper endplate alone (OR: 4.39, 95% CI: 1.20–16.08, p = 0.025), and thoracolumbar fracture (OR: 6.17, 95% CI: 1.04–36.71, p = 0.045) were identified as independent risk factors for recollapse after a kyphoplasty surgery. Furthermore, the evaluation indices demonstrated a superior predictive performance of the constructed SVM model, including mean area under receiver operating characteristic curve (AUC) of 0.81, maximum AUC of 0.85, accuracy of 0.81, precision of 0.89, and sensitivity of 0.98.ConclusionsFor patients with OVCFs, the risk factors leading to postoperative recollapse were multidimensional. The predictive model we constructed provided insights into treatment strategies targeting secondary recollapse prevention.
Angiosarcoma of the face and neck is a rare soft tissue sarcoma with a high degree of malignancy. The current treatment methods mainly rely on a combination of surgery and radiotherapy and/or chemotherapy. However, the options for drug treatment are very limited and surgery can be difficult to carry out due to the location of the tumor, so the efficacy of first-line drugs needs to be constantly explored. A case of angiosarcoma of the head and face diagnosed by biopsy is reported here. The patient received an oral anlotinib hydrochloride capsule once a day (12 mg on days 1 - 14/1 week off for a 21-day cycle) due to the difficulty of surgery. Until now (April, 2020), after 10 months of treatment, the patient’s scalp and facial lesions have gradually reduced and the partial response and progression-free survival of this patient were good, with moderate or tolerable adverse events. This approach provides a new approach for the clinical treatment of malignant angiosarcoma of the face and neck with anlotinib as first-line therapy.
Peripheral nerve injury (PNI) is a common clinical disease caused by severe limb trauma, congenital malformations, and tumor resection, which may lead to significant functional impairment and permanent disability. Nerve conduit as a method for treating peripheral nerve injury shows good application prospects. In this work, the COL/CS composite films with different mass ratios of 1:0, 1:1, and 1:3 were fabricated by combining physical doping. Physicochemical characterization results showed that the COL/CS composite films possessed good swelling properties, ideal mechanical properties, degradability and suitable hydrophilicity, which could meet the requirements of nerve tissue engineering. In vitro cell experiments showed that the loading of platelet-rich plasma (PRP) gel on the surface of COL/CS composite films could significantly improve the biocompatibility of films and promote the proliferation of Schwann cells. In addition, a rat model of sciatic nerve defect was constructed to evaluate the effect of COL/CS composite films on peripheral nerve repair and the results showed that COL/CS composite films loaded with PRP gel could promote nerve regeneration and functional recovery in rats with sciatic nerve injury, indicating that the combination of PRP gel with the COL/CS composite film would be a potential approach for the treatment of peripheral nerve injury.
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