Objective To analyze the correlation between the poor position of pedicle screw after lumbar internal fixation and the occurrence of postoperative neurological symptoms.Methods The clinical data of patients who underwent lumbar pedicle screw surgery in our hospital from January 2017 to December 2023 were analyzed retrospectively.Record the patient's sex,age,diagnosis,surgical segment,the presence of postoperative neurological complications,the types of neurological complications.According to the postoperative CT,the screw penetration zone and grade were evaluated,and the distribution of different pedicle screw penetration types was recorded.The correlation between different types of pedicle screw penetration and postoperative neurological symptoms was analyzed.Results A total of 184 patients were included,including 80 males and 104 females.Age ranged from 18 to 82 years,with an average of 60.1±14.2 years.35 patients developed new neurological symptoms after operation.The incidence of postoperative neurological symptoms caused by pedicle medial quadrant screw penetration and lower quadrant screw penetration was higher than that of pedicle superior quadrant and lateral quadrant screw penetration.From L1 to L5,the risk of postoperative neurological symptoms caused by screw penetration in the medial quadrant of the pedicle increases gradually.When the penetration distance of pedicle medial quadrant screws in L4 and L5 segments is≥2mm,the risk of postoperative neurological symptoms is high.When the penetration distance of pedicle medial quadrant screws in L1,L2 and L3 segments is greater than 4mm,the risk of postoperative neurological symptoms is high.The distance of pedicle screw penetrating the medial quadrant of pedicle was positively correlated with the incidence of postoperative neurological symptoms(P<0.05).Conclusion The lateral and superior quadrants of the pedicle may be regarded as safety zones for lumbar pedicle screw placement.For the L1～L3 segments,screw penetration depth should not exceed 4 mm;whereas for the L4～L5 segments,the safety threshold must be strictly controlled within 2 mm.

Objective:To construct classification models of traumatic brain injury (TBI) based on the injury data collected at the scene of the accidents and validate its efficacy.Methods:A retrospective cohort study was conducted to analyze the pre-hospital treatment data of 368 TBI patients admitted to the Second Affiliated Hospital of Army Military Medical University from January 2019 to December 2023, including 243 males and 125 females, aged 18-82 years [(48.1±20.8)years]. The patients′ Glasgow coma scale (GCS) scores were 3-15 points [11.0(3.0, 15.0)points] at emergency medical service arrival. The patients were randomly assigned to the training set ( n=257) and test set ( n=111) at a ratio of 7∶3. According to the admission diagnosis, the patients fell into the mild TBI group ( n=62), medium TBI group ( n=137), severe TBI group ( n=120), and extremely severe TBI group ( n=49). In the training set, 44 patients fell into mild TBI group, 98 into medium TBI group, 82 into severe TBI group and 33 into extremely severe TBI group, while in the test set, 18 patients fell into mild TBI group, 39 into medium TBI group, 38 into severe TBI group and 16 into extremely severe TBI group. The following 12 kinds of injury data, including MARCH [massive hemorrhage (M), airway obstruction (A), respiratory failure (R), circulatory failure (C) and hypothermia (H)], GCS, pre-hospital index (PHI), shock index (SI), reverse SI multiplied by GCS (rSIG), optic nerve sheath diameter (ONSD) measured by ultrasound, scalp and skull injuries were collected at the scene of the accidents. Three machine algorithm including random forest (RF), support vector machine (SVM) and logistic regression (LR) were used to construct scene data-based TBI classification models. The accuracy rate, precision rate, recall rate, F1 value and area under receiver operating characteristic (ROC) curve (AUC) of the 3 models were used to verify the efficiency of the models for TBI classification. Shapley additive explanations (SHAP) method was used to interpret the results of the optimal model. The 12 kinds of injury data in the models were sorted according to their contribution to the TBI classification and the injury data with greater contribution were selected. Results:In the test set, the accuracy rate of the RF, SVM and LR models was 0.93, 0.92 and 0.87, respectively; the precision rate was 0.93, 0.92 and 0.89, respectively; the recall rate was 0.93, 0.92 and 0.87, respectively; the F1 value was 0.93, 0.92 and 0.87, respectively. In the mild, medium, severe and extremely severe TBI groups in the test set, the AUC of the RF model was 0.96 (95% CI 0.92, 0.98), 0.98 (95% CI 0.94, 0.99), 0.97 (95% CI 0.95, 0.98), and 0.97 (95% CI 0.96, 0.98), respectively; the AUC of the SVM model was 0.90 (95% CI 0.88, 0.94), 0.95 (95% CI 0.92, 0.97), 0.96 (95% CI 0.94, 0.98), and 0.95 (95% CI 0.92, 0.99), respectively; the AUC of the LR model was 0.90 (95% CI 0.83, 0.96), 0.90 (95% CI 0.84, 0.95), 0.96 (95% CI 0.95, 0.98), and 0.95 (95% CI 0.94, 0.97), respectively. The RF model demonstrated optimal discriminative performance for TBI classification. As the SHAP′s interpretation of the RF model indicated, among the 12 kinds of injury data, those with greater contributions to the TBI classification were GCS, rSIG, SI, PHI, respiratory failure, ONSD, and circulatory failure in sequence. Conclusions:Of the scene data-based TBI classification models, the RF model achieves good predictive performance for TBI classification when compared with the SVM model and LR model. Besides, GCS, rSIG, SI, PHI, respiratory failure, ONSD and circulatory failure contribute significantly to the classification of TBI in the RF model, which may assist emergency medical personnel in field triage and management of TBI at accident scenes.

Inflammatory bowel disease (IBD), including ulcerative colitis and Crohn's disease, is a chronic inflammation of the gastrointestinal tract with unknown etiology. The cause of IBD is widely considered multifactorial, with prevailing hypotheses suggesting that the microbiome and various environmental factors contribute to inappropriate activation of the mucosal immune system in genetically susceptible individuals. Although the incidence of IBD has stabilized in Western countries, it is rapidly increasing in newly industrialized countries, particularly China, making IBD a global disease. Significant changes in multiple biomarkers before IBD diagnosis during the preclinical phase provide opportunities for earlier diagnosis and intervention. Advances in technology have driven the development of telemonitoring tools, such as home-testing kits for fecal calprotectin, serum cytokines, and therapeutic drug concentrations, as well as wearable devices for testing sweat cytokines and heart rate variability. These tools enable real-time disease activity assessment and timely treatment strategy adjustments. A wide range of novel drugs for IBD, including interleukin-23 inhibitors (mirikizumab, risankizumab, and guselkumab) and small-molecule drugs (etrasimod and upadacitinib), have been introduced in the past few years. Despite these advancements, approximately one-third of patients remain primary non-responders to the initial treatment, and half eventually lose response over time. Precision medicine integrating multi-omics data, advanced combination therapy, and complementary approaches, including stem cell transplantation, psychological therapies, neuromodulation, and gut microbiome modulation therapy, may offer solutions to break through the therapeutic ceiling.
Humans ; Inflammatory Bowel Diseases/therapy*

Objective:To construct classification models of traumatic brain injury (TBI) based on the injury data collected at the scene of the accidents and validate its efficacy.Methods:A retrospective cohort study was conducted to analyze the pre-hospital treatment data of 368 TBI patients admitted to the Second Affiliated Hospital of Army Military Medical University from January 2019 to December 2023, including 243 males and 125 females, aged 18-82 years [(48.1±20.8)years]. The patients′ Glasgow coma scale (GCS) scores were 3-15 points [11.0(3.0, 15.0)points] at emergency medical service arrival. The patients were randomly assigned to the training set ( n=257) and test set ( n=111) at a ratio of 7∶3. According to the admission diagnosis, the patients fell into the mild TBI group ( n=62), medium TBI group ( n=137), severe TBI group ( n=120), and extremely severe TBI group ( n=49). In the training set, 44 patients fell into mild TBI group, 98 into medium TBI group, 82 into severe TBI group and 33 into extremely severe TBI group, while in the test set, 18 patients fell into mild TBI group, 39 into medium TBI group, 38 into severe TBI group and 16 into extremely severe TBI group. The following 12 kinds of injury data, including MARCH [massive hemorrhage (M), airway obstruction (A), respiratory failure (R), circulatory failure (C) and hypothermia (H)], GCS, pre-hospital index (PHI), shock index (SI), reverse SI multiplied by GCS (rSIG), optic nerve sheath diameter (ONSD) measured by ultrasound, scalp and skull injuries were collected at the scene of the accidents. Three machine algorithm including random forest (RF), support vector machine (SVM) and logistic regression (LR) were used to construct scene data-based TBI classification models. The accuracy rate, precision rate, recall rate, F1 value and area under receiver operating characteristic (ROC) curve (AUC) of the 3 models were used to verify the efficiency of the models for TBI classification. Shapley additive explanations (SHAP) method was used to interpret the results of the optimal model. The 12 kinds of injury data in the models were sorted according to their contribution to the TBI classification and the injury data with greater contribution were selected. Results:In the test set, the accuracy rate of the RF, SVM and LR models was 0.93, 0.92 and 0.87, respectively; the precision rate was 0.93, 0.92 and 0.89, respectively; the recall rate was 0.93, 0.92 and 0.87, respectively; the F1 value was 0.93, 0.92 and 0.87, respectively. In the mild, medium, severe and extremely severe TBI groups in the test set, the AUC of the RF model was 0.96 (95% CI 0.92, 0.98), 0.98 (95% CI 0.94, 0.99), 0.97 (95% CI 0.95, 0.98), and 0.97 (95% CI 0.96, 0.98), respectively; the AUC of the SVM model was 0.90 (95% CI 0.88, 0.94), 0.95 (95% CI 0.92, 0.97), 0.96 (95% CI 0.94, 0.98), and 0.95 (95% CI 0.92, 0.99), respectively; the AUC of the LR model was 0.90 (95% CI 0.83, 0.96), 0.90 (95% CI 0.84, 0.95), 0.96 (95% CI 0.95, 0.98), and 0.95 (95% CI 0.94, 0.97), respectively. The RF model demonstrated optimal discriminative performance for TBI classification. As the SHAP′s interpretation of the RF model indicated, among the 12 kinds of injury data, those with greater contributions to the TBI classification were GCS, rSIG, SI, PHI, respiratory failure, ONSD, and circulatory failure in sequence. Conclusions:Of the scene data-based TBI classification models, the RF model achieves good predictive performance for TBI classification when compared with the SVM model and LR model. Besides, GCS, rSIG, SI, PHI, respiratory failure, ONSD and circulatory failure contribute significantly to the classification of TBI in the RF model, which may assist emergency medical personnel in field triage and management of TBI at accident scenes.

Objective To analyze the correlation between the poor position of pedicle screw after lumbar internal fixation and the occurrence of postoperative neurological symptoms.Methods The clinical data of patients who underwent lumbar pedicle screw surgery in our hospital from January 2017 to December 2023 were analyzed retrospectively.Record the patient's sex,age,diagnosis,surgical segment,the presence of postoperative neurological complications,the types of neurological complications.According to the postoperative CT,the screw penetration zone and grade were evaluated,and the distribution of different pedicle screw penetration types was recorded.The correlation between different types of pedicle screw penetration and postoperative neurological symptoms was analyzed.Results A total of 184 patients were included,including 80 males and 104 females.Age ranged from 18 to 82 years,with an average of 60.1±14.2 years.35 patients developed new neurological symptoms after operation.The incidence of postoperative neurological symptoms caused by pedicle medial quadrant screw penetration and lower quadrant screw penetration was higher than that of pedicle superior quadrant and lateral quadrant screw penetration.From L1 to L5,the risk of postoperative neurological symptoms caused by screw penetration in the medial quadrant of the pedicle increases gradually.When the penetration distance of pedicle medial quadrant screws in L4 and L5 segments is≥2mm,the risk of postoperative neurological symptoms is high.When the penetration distance of pedicle medial quadrant screws in L1,L2 and L3 segments is greater than 4mm,the risk of postoperative neurological symptoms is high.The distance of pedicle screw penetrating the medial quadrant of pedicle was positively correlated with the incidence of postoperative neurological symptoms(P<0.05).Conclusion The lateral and superior quadrants of the pedicle may be regarded as safety zones for lumbar pedicle screw placement.For the L1～L3 segments,screw penetration depth should not exceed 4 mm;whereas for the L4～L5 segments,the safety threshold must be strictly controlled within 2 mm.

Objective:To explore the natural course of ulcerative proctitis (UP) and the risk factors associated with disease extent progression.Methods:A retrospective cohort study was conducted, including UP patients who had undergoing prospective regisration in the Department of Gastroenterology, Xijing Hospital of Digestive Diseases, Air Force Medical University between January 2000 and May 2023. All patients were ≥ 18 years old at the time of diagnosis and followed up for more than one year. The disease extent in patients at diagnosis and during follow-up was assessed according to the Montreal classification. The clinical data were compared between the progression group and the non-progression group. The cumulative proportions of disease extent progression were analyzed with the Kaplan-Meier method, and the risk factors associated with disease extent progression were analyzed with the Cox proportional hazards regression model.Results:A total of 184 UP patients were included, with a median follow-up time of 4.8 (2.8, 8.5) years. Among them, 96 were male (52.2%) and 88 were female (47.8%), with a median age at diagnosis of 39.1 (28.8, 49.7) years. At the time of diagnosis, 95 (51.6%) patients had moderate endoscopic manifestations and 64 (34.8%) had severe endoscopic manifestations, while only 25 (13.6%) patients had mild lesions. 116 patients (63.0%) experienced disease extent progression in a median time of 4.2 (1.8, 9.0) years. The cumulative proportions of disease extent progression in 1, 3, 5, and 10 years were 13.0%, 39.0%、56.7% and 78.3%, respectively. Cox regression analysis identified the use of 5-aminosalicylic acid as a protective factor against disease extent progression ( HR = 0.55, 95% CI: 0.31 ~ 0.96, P = 0.035). During follow-up, only one patient (0.5%) underwent surgery. Five patients (2.7%) were diagnosed with dysplasia, and all of these patients had experienced disease extent progression before the development of dysplasia. Conclusions:Patients with UP had a high proportion of moderate-to-severe active endoscopic findings at diagnosis, and nearly two-thirds of patients experienced disease progression during follow-up, but the rates of colectomy and neoplasia were relatively low. 5-ASA was a protective factor against disease extent progression.

Inflammatory bowel disease (IBD) is a chronic, relapsing immune-mediated disease. Patients with IBD are at significantly increased risk of anxiety and depression, with possible mechanisms including genetic susceptibility, brain-gut axis and dysbiosis. This review summarizes the latest research progress on the epidemiology, risk factors, mechanisms and treatment of anxiety and depression in IBD patients.

Objective To investigate the risk factors and significance of catheter dislocationat the venipuncture site after the implantation of a totally implantable venous access port(TIVAP)in patients with breast cancer.Methods From January 2019 to September 2021,1003 patients who underwent vein approach transfusion port implantation were divided into the catheter dislocation group(7 cases)and the non-catheter dislocation group(996 cases).Risk factors for post operative recurrence of catheter dislocationwere analyzed through univariate analysis and logistic regression analysis.Results The results of the univariate analysis indicated that the incidence of catheter dislocation in the group with age ≥ 60 years,axillary vein approach,and left-side puncture was higher than that in the control group,and the difference was statistically significant(P＜0.05).The BMI of the dislocation group[(27.06±2.16)kg/m2]was higher than that of the non-dislocation group[(25.09±3.33)kg/m2],there was a statistically significant difference between the two groups(P=0.05).The multivariate Logistic regression analysis showed that the catheterization approach and puncture side had no significant effect on catheter dislocation(P＞0.05);high BMI and age ≥ 60 years were independent risk factors for catheter dislocation complications(P＜0.05).Conclusion Axillary vein approach transfusion port implantation is relatively safe and reliable.Age ≥ 60years old and high BMI are independent risk factors affecting the complication of catheter dislodgement.

Objective:To explore the natural course of ulcerative proctitis (UP) and the risk factors associated with disease extent progression.Methods:A retrospective cohort study was conducted, including UP patients who had undergoing prospective regisration in the Department of Gastroenterology, Xijing Hospital of Digestive Diseases, Air Force Medical University between January 2000 and May 2023. All patients were ≥ 18 years old at the time of diagnosis and followed up for more than one year. The disease extent in patients at diagnosis and during follow-up was assessed according to the Montreal classification. The clinical data were compared between the progression group and the non-progression group. The cumulative proportions of disease extent progression were analyzed with the Kaplan-Meier method, and the risk factors associated with disease extent progression were analyzed with the Cox proportional hazards regression model.Results:A total of 184 UP patients were included, with a median follow-up time of 4.8 (2.8, 8.5) years. Among them, 96 were male (52.2%) and 88 were female (47.8%), with a median age at diagnosis of 39.1 (28.8, 49.7) years. At the time of diagnosis, 95 (51.6%) patients had moderate endoscopic manifestations and 64 (34.8%) had severe endoscopic manifestations, while only 25 (13.6%) patients had mild lesions. 116 patients (63.0%) experienced disease extent progression in a median time of 4.2 (1.8, 9.0) years. The cumulative proportions of disease extent progression in 1, 3, 5, and 10 years were 13.0%, 39.0%、56.7% and 78.3%, respectively. Cox regression analysis identified the use of 5-aminosalicylic acid as a protective factor against disease extent progression ( HR = 0.55, 95% CI: 0.31 ~ 0.96, P = 0.035). During follow-up, only one patient (0.5%) underwent surgery. Five patients (2.7%) were diagnosed with dysplasia, and all of these patients had experienced disease extent progression before the development of dysplasia. Conclusions:Patients with UP had a high proportion of moderate-to-severe active endoscopic findings at diagnosis, and nearly two-thirds of patients experienced disease progression during follow-up, but the rates of colectomy and neoplasia were relatively low. 5-ASA was a protective factor against disease extent progression.

Inflammatory bowel disease (IBD) is a chronic, relapsing immune-mediated disease. Patients with IBD are at significantly increased risk of anxiety and depression, with possible mechanisms including genetic susceptibility, brain-gut axis and dysbiosis. This review summarizes the latest research progress on the epidemiology, risk factors, mechanisms and treatment of anxiety and depression in IBD patients.