Background: The 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.Methods: This 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.Results: Among 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.Conclusions: For 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.

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.

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.

Hyperuricemia (HUA), characterized by elevated blood uric acid (UA) levels, is a major risk factor for gout, UA nephropathy, metabolic syndrome, and other related disorders. Traditional drug therapy for HUA includes medications (e.g., allopurinol and febuxostat) and dietary changes; however, it is limited and may be accompanied by adverse side effects such as allergies, prompting the investigation of alternative therapeutic approaches. Although the newly researched “in‐situ graft polymerization” protein drug modification technology and the emerging gut microbiota transplantation technology have demonstrated innovation in regulating blood UA, they still need to overcome bottlenecks in immunogenicity, individual variability, and formulation technology. Recent research has highlighted the potential of modulating the intestinal microbiome as a promising strategy for managing HUA. Nevertheless, the mechanism by which different intestinal microbiomes affect HUA pathogenesis remains unclear. To bridge this gap, this review firstly outlines the characteristics and prevailing conditions of HUA, followed by the current status of treatment. Besides, this review integrates the findings from clinical trials and animal studies to explore in depth the pathogenic mechanisms of HUA and the potential roles and regulatory pathways of the gut microbiota in mitigating HUA. The gut microbiota act as multi‐functional factors that affect HUA by reducing UA production, enhancing purine metabolism, influencing amino acid transport, and increasing UA excretion. This review addresses critical gaps in the extant literature regarding microbiota‐mediated UA homeostasis and provides new perspectives for the future treatment of HUA.

Analysis of Risk Factors for Adjacent Segment Degeneration after Minimally Invasive Transforaminal Interbody Fusion at Lumbosacral Spine: Background. Adjacent segment degeneration (ASD) has been considered as a serious complication from changes in the biological stress pattern after spinal fusion. The sagittal balance significantly associated with lumbar loading is largely dependent on L5-S1 segment. However, the evidence indicating risk factors for radiological and symptomatic ASD after minimally invasive transforaminal interbody fusion (MIS-TLIF) remains insufficient. Methods. This single-central retrospective study recruited patients with lumbosacral degeneration receiving MIS-TLIF at the L5-S1 level from January 2015 to December 2018. The targeted variables included demographic information, radiological indicators, surgery-related parameters, and patient-reported outcomes (PROs) extracted from the electronic medical system by natural language processing. In these patients, a minimum of 3-year follow-up was done. After reviewing the preoperative and postoperative follow-up digital radiographs, patients were assigned to radiological ASD group (disc height narrowing 3mm, progressive slipping 3mm, angular motion >10°, and osteophyte formation >3mm), symptomatic ASD group, and control group. We identified potential predictors for radiological and symptomatic ASD with the service of stepwise logistic regression analysis. Results. Among the 157 consecutive patients treated with MIS-TLIF in our department, 16 cases (10.2) were diagnosed with radiological ASD at 3-year follow-up. The clinical evaluation did not reveal suspicious risk factors, but several significant differences were confirmed in radiological indicators. Multivariate logistic regression analysis showed postoperative PI, postoperative DA, and PI-LL in radiological ASD group were significantly different from those in control group. Nevertheless, for patients diagnosed with simultaneously radiological and symptomatic ASD, postoperative DA and postoperative PT as risk factors significantly affected the clinical outcome following MIS-TLIF. Conclusion. In this study, while approximately 10 of lumbosacral degenerations develop radiographic ASD, prognosis-related symptomatic ASD was shown not to be a frequent postoperative complication. Postoperative PI, postoperative DA, and mismatched PI-LL are risk factors for radiological ASD, and postoperative DA and postoperative PT are responsible for the occurrence of symptomatic ASD following MIS-TLIF. These radiological risk factors demonstrate that restoration of normal sagittal balance is an effective measure to optimize treatment strategies for secondary ASD prevention.