Lamina-Lifting Suspension Modification in Bridge Crane Technique in Treatment of Severe Thoracic Ossification of the Ligamentum Flavum (TOLF).

BACKGROUND The aim of this study was to investigate the effectiveness and potential complications of combining a lamina-lifting suspension system with the bridge crane technique in treating thoracic ossification of the ligamentum flavum (TOLF) with thoracic myelopathy. MATERIAL AND METHODS A patient with severe TOLF and myelopathy was treated using a lamina-lifting suspension system combined with bridge crane technique. The brief surgical procedure involved implantation of internal fixation, separation of laminae, installation of cross-bridges, reverse lifting, and fixation of cross-bridges. The modified Japanese Orthopaedic Association (mJOA) scale, Hirabayashi recovery rate, and ASIA grade of the patient were recorded. The canal occupation ratio (COR) and spinal cord status were evaluated by imaging data. RESULTS The surgical intervention significantly enhances the patient's lower limb function, as evidenced by an increase in mJOA score from 5 preoperatively to 11 at terminal follow-up. The Hirabayashi recovery rate after surgery ranges between 25% and 50%. Additionally, ASIA classification improved to grade E. Imaging data showed that the ossification of the thoracic vertebrae had subsided, while the volume of the local spinal canal had recovered and the spinal cord injury had been completely relieved. No adverse effects or complications were observed. CONCLUSIONS The lamina-lifting suspension system preserves the benefits of bridge crane technique while also augmenting the traction of a post laminae-OLF complex (LOC) suspension, rendering it more secure and manageable. Nevertheless, further sample analysis and research are required in the future.

Development and validation of a risk prediction model for cage subsidence after instrumented posterior lumbar fusion based on machine learning: a retrospective observational cohort study.

Background: Interbody cage subsidence is a common complication after instrumented posterior lumbar fusion surgery, several previous studies have shown that cage subsidence is related to multiple factors. But the current research has not combined these factors to predict the subsidence, there is a lack of an individualized and comprehensive evaluation of the risk of cage subsidence following the surgery. So we attempt to identify potential risk factors and develop a risk prediction model that can predict the possibility of subsidence by providing a Cage Subsidence Score (CSS) after surgery, and evaluate whether machine learning-related techniques can effectively predict the subsidence. Methods: This study reviewed 59 patients who underwent posterior lumbar fusion in our hospital from 2014 to 2019. They were divided into a subsidence group and a non-subsidence group according to whether the interbody fusion cage subsidence occurred during follow-up. Data were collected on the patient, including age, sex, cage segment, number of fusion segments, preoperative space height, postoperative space height, preoperative L4 lordosis Angle, postoperative L4 lordosis Angle, preoperative L5 lordosis Angle, postoperative PT, postoperative SS, postoperative PI. The conventional statistical analysis method was used to find potential risk factors that can lead to subsidence, then the results were incorporated into stepwise regression and machine learning algorithms, respectively, to build a model that could predict the subsidence. Finally the diagnostic efficiency of prediction is verified. Results: Univariate analysis showed significant differences in pre-/postoperative intervertebral disc height, postoperative L4 segment lordosis, postoperative PT, and postoperative SS between the subsidence group and the non-subsidence group (p < 0.05). The CSS was trained by stepwise regression: 2 points for postoperative disc height > 14.68 mm, 3 points for postoperative L4 segment lordosis angle >16.91°, and 4 points for postoperative PT > 22.69°. If the total score is larger than 0.5, it is the high-risk subsidence group, while less than 0.5 is low-risk. The score obtains the area under the curve (AUC) of 0.857 and 0.806 in the development and validation set, respectively. The AUC of the GBM model based on the machine learning algorithm to predict the risk in the training set is 0.971 and the validation set is 0.889. The AUC of the avNNet model reached 0.931 in the training set and 0.868 in the validation set, respectively. Conclusion: The machine learning algorithm has advantages in some indicators, and we have preliminarily established a CSS that can predict the risk of postoperative subsidence after lumbar fusion and confirmed the important application prospect of machine learning in solving practical clinical problems.

The Distribution Pattern of First-Line Anti-Tuberculosis Drug Concentrations between the Blood and the Vertebral Focus of Spinal Tuberculosis Patients.

BACKGROUND: Anti-tuberculosis drug concentrations are critical for the treatment of spinal tuberculosis. The distribution pattern of anti-tuberculosis drugs between the blood and the vertebral focus needs to be further explored. METHODS: A total of 31 spinal tuberculosis patients were prospectively included and then divided into a sclerotic group (15 cases) and a non-sclerotic group (16 cases) according to their preoperative CTs. All patients were treated with 2HERZ/6H2R2Z2 chemotherapy for 4 weeks before the operation. During the operation, blood, normal vertebral bone tissue, and vertebral focus tissue were obtained, processed, and sent to the pharmacology laboratory. The concentration values of four anti-tuberculosis drugs in each sample were obtained in a pharmacology laboratory. RESULTS: There was no significant difference in the concentrations of the four anti-tuberculosis drugs in the blood and the normal vertebral bone tissue between the two groups; however, there was a significant difference in the vertebral focus tissue. There existed a linear correlation of four anti-tuberculosis drug concentrations between the blood and the focus in the non-sclerotic bone group. CONCLUSIONS: The existence of sclerotic bone hinders the anti-tuberculosis drug distribution. In the absence of sclerotic bone in the vertebral focus, there exists a linear relationship of the four anti-tuberculosis drug concentrations between the blood and the vertebral focus of spinal tuberculosis patients.

The risk factors of the postoperative poor wound healing in spinal tuberculosis patients: A single centre retrospective cohort study.

The purpose of this study is to find out the risk factors of poor wound healing (PWH) in spinal tuberculosis (STB) patients. A total of 232 STB patients who underwent debridement surgery between January 2012 to June 2020 were included in this retrospective study. The study cohort was divided into two groups according to the presence or absence of PWH. The clinical characteristics of STB patients who developed PWH were evaluated, and risk factors were found using logistic regression analysis. Of the 232 patients, 30 developed PWH. Multivariate binary logistic regression analysis showed that pulmonary tuberculosis, long operation time and low postoperative albumin level were independent risk factors for PWH in STB patients. Receiver operating characteristic curve analysis showed that the optimal cutoff value of PWH in operation time and postoperative albumin are 200 minutes and 30 g/L, respectively. Pulmonary tuberculosis, long operation time and low postoperative albumin level are independent risk factors for PWH following surgery for STB. Curing pulmonary tuberculosis, controlling operation time and supervising postoperative serum albumin may decrease the risk of PWH among STB patients.

Value of Postoperative Serum Albumin to Predict Postoperative Complication Severity in Spinal Tuberculosis.

BACKGROUND: Many complications occur after surgery in patients with spinal tuberculosis (STB); however, the severity varies in different patients. The complications' severity is evaluated from grades I to V by the Clavien-Dindo classification (CDC), and grade V is the most severe. Most complications are mild, and only severe complications are life threatening, and thus, it is important to identify severe complications in patients with STB. The purpose of this study was to identify the risk factors of postoperative complication severity in patients with STB. METHODS: Between January 2012 and May 2021, a retrospective study included 188 patients that underwent STB debridement surgery. The patients were divided into three groups based on postoperative complication severity. Clinical characteristics measured included age, sex, body mass index (BMI), comorbidities of diabetes mellitus and pulmonary tuberculosis, alcohol use and smoking history, course of disease, preoperative hemoglobin, preoperative serum albumin, preoperative lymphocytes, preoperative erythrocyte sedimentation rate (ESR), preoperative C-reactive protein (CRP), surgical approach, operating time, blood loss during surgery, postoperative hemoglobin, and postoperative serum albumin. The clinical characteristics of patients with STB who developed postoperative complications were evaluated using logistic regression analysis. RESULTS: 188 patients suffered at least one postoperative complication; 77, 91, and 20 patients experienced grade I, II, and III-IV complications, respectively. In the univariate analysis, sex, diabetes mellitus, postoperative hemoglobin, and postoperative albumin are statistically significant. In the multivariable analysis, postoperative albumin (adjusted odds ratio (OR) = 0.861, P < 0.001) was an independent risk factor of the postoperative complication severity in patients with STB. Receiver operating characteristic (ROC) analysis showed that the optimal cutoff values for postoperative albumin were 32 g/L (sensitivity: 0.571, specificity: 0.714, area under the ROC curve: 0.680) and 30 g/L (sensitivity: 0.649, specificity: 0.800, area under the ROC curve: 0.697) for grade II and grade III-IV complications, respectively. CONCLUSIONS: Postoperative albumin is an independent risk factor for postoperative complication severity in patients with STB. The improvement of postoperative albumin levels may reduce the risk of severe complications in patients with STB.