Objective To explore the effects of sacral neuromodulation (SNM) on urodynamic parameters during the storage phase in patients with neurogenic bladder (NB), so as to provide reference for evaluating the efficacy of SNM. Methods A total 49 NB patients undergoing SNM at our hospital during Oct.2012 and May 2025 were enrolled. Baseline data and video-urodynamic parameters were collected. Changes in maximum cystometric capacity, maximum detrusor pressure during storage phase, and bladder compliance before and after treatment were assessed. Improvements in detrusor overactivity (DO) and vesicoureteral reflux (VUR) were also analyzed. Results Among the 49 patients,27 were male and 22 were female, with a mean age of (37.41±15.15) years, a median disease duration of 5.0 (2.0,15.5) years, and a median follow-up of 11 (1,32) months. Up to 37 patients (75.5%) received permanent sacral nerve pulse generator implantation (permanent implant group), while the remaining 12 were classified as the non-permanent implant group. Before and after the test period, all patients showed a significant increase in maximum cystometric capacity [ (218.0 (93.0,358.5) mL vs.300.0 (238.5, 400.0) mL, P<0.001], a decrease in maximum detrusor pressure during the filling phase [32.0 (13.5,71.0) cmH_2 O vs. 20.0 (9.0,50.0) cmH_2 O, P<0.001], and an improvement in bladder compliance [11.8 (8.3,25.6) mL/cmH_2 O vs.26.7 (8.6,44.1) mL/cmH_2O, P<0.001]. In the permanent implant group, comparisons before and after the test period showed an increase in maximum bladder capacity [ (239.16±147.23) mL vs. (312.24±121.83) mL, P<0.001], a decrease in maximum detrusor pressure during filling[32.0 (15.0,58.0) cmH_2 O vs.15.0 (9.0,41.0) cmH_2 O, P<0.05], and improved bladder compliance [10.8 (8.3,23.6) mL/cmH_2 O vs.28.6 (8.6,41.4) mL/cmH_2 O, P<0.001]. No statistically significant differences in these parameters before and after the test period were observed in the non-permanent implant group (P>0.05). A total of 17 patients in the permanent implant group underwent follow-up video urodynamics. Compared to pre-test values, significant improvements were observed in maximum detrusor pressure during filling, and bladder compliance both at the end of the test period and at the last follow-up (P<0.05). However, no statistically significant differences were found in maximum cystometric capacity, maximum detrusor pressure during filling, and bladder compliance between the end of the test period and the last follow-up (P>0.05). Among the 49 patients,21 had DO and 20 had VUR. Both DO and VUR showed improvement after the test period and at the last follow-up. Conclusion SNM can effectively improve storage function in NB patients, ameliorate detrusor overactivity and bladder compliance, and relieve or eliminate VUR in some patients. Long-term follow-up confirms that SNM provides stable therapeutic effects, demonstrating significant clinical value.

Objective To study the bioequivalence of two glipizide tablets in healthy Chinese subjects.Methods Randomized,open,single-administration,two-period,self-cross-over trial design was used in the study.There were 28 Chinese healthy subjects in the fasted state and 28 in the fed state,complete repeat cross single dose oral glipizide tablets test preparation or reference preparation 5 mg.The plasma concentration of glipizide was determined by liquid chromatography/tandem mass spectrometry at different time points after administration.The non-compartmental model was used to calculate the pharmacokinetic parameters and evaluate the bioequivalence of the two formulations.Results The main pharmacokinetic parameters of glipizide in the fasted state were as follows:Cmax were(551.60±91.26)and(518.10±105.10)ng·mL-1;AUC0-t were(3 074.33±861.91)and(3 026.77±934.25)h·ng·mL-1;AUC0-∞ were(3 204.85±990.78)and(3 166.35±1 107.36)h ng·mL-1.The parameters of glipizide in the fed state were as follows:Cmax were(517.30±98.97)and(472.80±114.48)ng·mL-1;AUC0-t were(3 001.12±830.87)and(2 932.79±736.35)h·ng·mL-1;AUC0-∞ were(3 067.00±918.84)and(2 997.44±819.14)h·ng·mL-1.The 90％confidence interval of the Cmax,AUC0-t and AUC0-∞ of the test formulation and the reference formulation were from 80.00％to 125.00％.The incidence of adverse events in fasted group and fed group was no serious adverse events.Conclusion The two glipizide tablets were bioequivalent under fasted and fed conditions,and good security.

Objective To explore the current status of H.pylori infection in the natural population of Sanya City,analyze its influencing factors,and provide a reference basis for the prevention and control of H.pylori infection.Methods A total of 677 residents from four districts of Sanya City were selected by overall stratified random sampling method,and were subjected to urea 14C breath test and questionnaire survey to calculate the positive rate of H.pylori in the natural population and analyze the influencing factors of H.pylori infection.Results A total of 606 residents were included,and the number of H.pylori positive detections was 261,with a positive detection rate of 38.5％.Among them,different ethnicity,marital status,smoking,eating vegetables and fruits,and literacy level were associated with H.pylori infection(P＜0.05);gender,age,BMI,alcohol consumption,drinking water source,betel quid chewing,and the number of cohabitants were not significantly associated with H.pylori infection(P＞0.05).Family infection was an independent risk factor for H.pylori infection in the natural population of Sanya City,and Li ethnicity,frequent consumption of fruits and vegetables,and college and higher education level were independent protective factors for H.pylori infection in the natural population of Sanya City.Conclusion The rate of H.pylori infection in the natural population of Sanya City is lower than the national average.Consuming more fruits and vegetables and improving the awareness of hygiene protection are conducive to the prevention of H.pylori infection;and the promotion of the family and related members with the same examination and treatment is important to avoid aggregation of infection within the family.

Objective To design a lifting aid to enhance the loading and unloading efficiency of casualties in emergency rescue.Methods The lifting aid was composed of a lifting mechanism,a motorized control unit and a manual control unit,which used a pulley set to enhance working efficiency,achieved lateral patient translation via a separable and movable sleeping pad and realized electric and manual control by a motor and lever respectively.An equivalent scaled-down model was made to test the forces at the lever under 0,5,10,20 and 30 kg bearing weights to verify the performance of the aid.Results The trend of the tensile force exerted on the lever under five sets of different loads was in accordance with the results of the theoretical analysis.Conclusion The lifting aid with easy operation ensures patient safety and enhances the loading and unloading efficiency while saving the workload.[Chinese Medical Equipment Journal,2024,45(4):111-115]

OBJECTIVE: To investigate the clinical effect of "Tianji" orthopedic robot-assisted percutaneous vertebro plasty(PVP) surgery in the treatment of upper thoracic osteoporotic fracture. METHODS: A retrospective analysis was performed on 32 patients with upper thoracic osteoporotic fracture who underwent PVP surgery in Shenzhen Hospital of Traditional Chinese Medicine from August 2016 to June 2022. There were 8 males and 24 females, ranging in age from 58 to 90 years old, with a mean of (67.75±12.27) years old. Fifteen patients were treated with robot-assisted PVP surgery (robot group), including 3 males and 12 females, with an average age of (68.5±10.3) years. Fracture location:1 case of T₂ fracture, 1 case of T₃ fracture, 3 cases of T₄ fracture, 3 cases of T₅ fracture, and 7 cases of T₆ fracture. The follow-up period ranged from 1.0 to 3.0 months, with a mean of (1.6±0.7) months. Seventeen patients underwent routine PVP surgery (conventional group), including 5 males and 12 females, with an average age of (66.8±11.6) years old. Fracture location:1 case of T₁ fracture, 5 cases of T₄ fracture, 2 cases of T₅ fracture and 9 cases of T₆ fracture. The follow-up period ranged from 0.5 to 4.0 months, with a mean of (1.5±0.6) months. Preoperative and postoperative visual analogue scale(VAS) and Oswestry disability index(ODI) scores were compared between the two groups, and the number of punctures, perspective times, operation time, intraoperative blood loss, bone cement distribution, bone cement leakage, and intraoperative radiation dose were compared between the two groups. RESULTS: Number of punctures times, perspective times, operation time, intraoperative blood loss, bone cement distribution, bone cement leakage and intraoperative radiation dose in the robot group were all significantly better than those in the conventional group(P<0.05). VAS of 2.03±0.05 and ODI of (22.16±4.03) % in the robot group were significantly better than those of the robot group before surgery, which were (8.67±0.25) score and (79.40±7.72)%(t=100.869, P<0.001;t=25.456, P<0.001). VAS of 2.17±0.13 and ODI of (23.88±6.15)% in the conventional group were significantly better than those before surgery, which were (8.73±0.18) score and (80.01±7.59)%(t=121.816, P<0.001;t=23.691, P<0.001). There was no significant difference in VAS and ODI between the two groups after operation (t=-3.917, P=0.476;t=-0.922, P=0.364). CONCLUSION Robot-assisted PVP in the treatment of upper thoracic osteoporotic fractures can further improve surgical safety, reduce bone cement leakage, and achieve satisfactory clinical efficacy.
Female ; Male ; Humans ; Middle Aged ; Aged ; Aged, 80 and over ; Osteoporotic Fractures/surgery* ; Robotics ; Blood Loss, Surgical ; Bone Cements ; Retrospective Studies ; Thoracic Vertebrae/surgery*

Objective:To evaluate left ventricular structural and functional abnormalities and vascular calcification in kidney transplant (KT) recipients, explore their influencing factors and examine the effects of mineral and bone disorders.Methods:From January 2017 to December 2019, retrospective analysis was performed for 292 KT recipients. Biochemical markers of bone metabolism, bone mineral density (BMD), left ventricular hypertrophy (LVH), left ventricular ejection fraction (LVEF), left ventricular diastolic function, coronary artery calcification (CAC) score and thoracic aortic calcification (TAC) score were assessed. Linear regression and binary Logistic regression analyses were employed for evaluating the influencing factors of cardiovascular parameters and the influence of abnormal mineral and bone metabolism.Results:Postoperative abnormalities in mineral and bone disorders were manifested mostly as hypercalcemia (8.9%, 26/292), hypophosphatemia (27.1%, 79/292), low 25-hydroxyvitamin D (25(OH)vitD) (67.0%, 196/292), hyperparathyroidismhigh parathyroid hormone (PTH) (50.6%, 148/292), elevated bone turnover markers and bone loss rate of 25%-30%. The prevalence of LVH, LVEF<50%, left ventricular diastolic dysfunction, high CAC score and high TAC score were 39.9%(116/292), 0%, 13.1%(38/292), 17.3%(50/292) and 39.9%(116/292) respectively. The results of multivariate analysis indicated that LVH was correlated positively with hypertension and serum calcium (Ca) (95% CI: 1.242-28.080, P=0.026; 95% CI: 1.714-277.584, P=0.018); LVEF was correlated positively with lumbar vertebrae BMD (95% CI: 0.000 1-0.005 5, P=0.041); Left ventricular diastolic dysfunction was correlated positively with age, diabetes and parathyroid hyperplasia/nodules (95% CI: 1.050-1.176, P<0.001; 95% CI: 2.118-43.813, P=0.003 and 95% CI: 1.419-9.103, P=0.007); High CAC score was correlated positively with recipient age and dialysis time (95% CI: 1.036-1.160, P=0.001; 95% CI: 1.009-1.041, P=0.002); High TAC score was correlated positively with age (95% CI: 1.095-1.215, P<0.001). Correlation analysis indicated that TAC was correlated positively with serum Ca ( r=0.233, P=0.003), bone-specific alkaline phosphatase (BALP)( r=0.325, P<0.001) and type Ⅰ collagen cross-linked N-terminal peptide (NTX)( r=0.204, P=0.011) and negatively with femoral neck BMD ( r=0.194, P=0.017). Conclusions:There is a high prevalence of left ventricular structural and functional abnormalities and vascular calcification. It is closely correlated with mineral and bone disorders.

BACKGROUND: Controversy exists as to the optimal treatment approach for ostial left anterior descending (LAD) or ostial left circumflex artery (LCx) lesions. Drug-coated balloons (DCB) may overcome some of the limitations of drug-eluting stents (DES). Therefore, we investigated the security and feasibility of the DCB policy in patients with ostial LAD or ostial LCx lesions, and compared it with the conventional DES-only strategy. METHODS: We retrospectively enrolled patients with de novo ostial lesions in the LAD or LCx who underwent interventional treatment. They were categorized into two groups based on their treatment approach: the DCB group and the DES group. The treatment strategies in the DCB group involved the use of either DCB-only or hybrid strategies, whereas the DES group utilized crossover or precise stenting techniques. Two-year target lesion revascularization was the primary endpoint, while the rates of major adverse cardiovascular events, cardiac death, target vessel myocardial infarction, and vessel thrombosis were the secondary endpoints. Using propensity score matching, we assembled a cohort with comparable baseline characteristics. To ensure result analysis reliability, we conducted sensitivity analyses, including interaction, and stratified analyses. RESULTS: Among the 397 eligible patients, 6.25% of patients who were planned to undergo DCB underwent DES. A total of 108 patients in each group had comparable propensity scores and were included in the analysis. Two-year target lesion revascularization occurred in 5 patients (4.90%) and 16 patients (16.33%) in the DCB group and the DES group, respectively (odds ratio = 0.264, 95% CI: 0.093-0.752, P = 0.008). Compared with the DES group, the DCB group demonstrated a lower major adverse cardiovascular events rate (7.84% vs. 19.39%, P = 0.017). However, differences with regard to cardiac death, non-periprocedural target vessel myocardial infarction, and definite or probable vessel thrombosis between the groups were non-significant. CONCLUSIONS The utilization of the DCB approach signifies an innovative and discretionary strategy for managing isolated ostial lesions in the LAD or LCx. Nevertheless, a future randomized trial investigating the feasibility and safety of DCB compared to the DES-only strategy specifically for de novo ostial lesions in the LAD or LCx is highly warranted.

OBJECTIVE: Exposure to high intensity, low frequency noise (HI-LFN) causes vibroacoustic disease (VAD), with memory deficit as a primary non-auditory symptomatic effect of VAD. However, the underlying mechanism of the memory deficit is unknown. This study aimed to characterize potential mechanisms involving morphological changes of neurons and nerve fibers in the hippocampus, after exposure to HI-LFN. METHODS: Adult wild-type and transient receptor potential vanilloid subtype 4 knockout (TRPV4^-/-) mice were used for construction of the HI-LFN injury model. The new object recognition task and the Morris water maze test were used to measure the memory of these animals. Hemoxylin and eosin and immunofluorescence staining were used to examine morphological changes of the hippocampus after exposure to HI-LFN. RESULTS: The expression of TRPV4 was significantly upregulated in the hippocampus after HI-LFN exposure. Furthermore, memory deficits correlated with lower densities of neurons and neurofilament-positive nerve fibers in the cornu ammonis 1 (CA1) and dentate gyrus (DG) hippocampal areas in wild-type mice. However, TRPV4^-/- mice showed better performance in memory tests and more integrated neurofilament-positive nerve fibers in the CA1 and DG areas after HI-LFN exposure. CONCLUSION TRPV4 up-regulation induced neurofilament positive nerve fiber injury in the hippocampus, which was a possible mechanism for memory impairment and cognitive decline resulting from HI-LFN exposure. Together, these results identified a promising therapeutic target for treating cognitive dysfunction in VAD patients.
Animals ; Mice ; TRPV Cation Channels/metabolism* ; Intermediate Filaments/metabolism* ; Hippocampus/metabolism* ; Neurons/metabolism* ; Memory Disorders/metabolism*

Objective: To establish a comprehensive diagnostic classification model of lateral cephalograms based on artificial intelligence (AI) to provide reference for orthodontic diagnosis. Methods: A total of 2 894 lateral cephalograms were collected in Department of Orthodontics, Capital Medical University School of Stomatology from January 2015 to December 2021 to construct a data set, including 1 351 males and 1 543 females with a mean age of (26.4± 7.4) years. Firstly, 2 orthodontists (with 5 and 8 years of orthodontic experience, respectively) performed manual annotation and calculated measurement for primary classification, and then 2 senior orthodontists (with more than 20 years of orthodontic experience) verified the 8 diagnostic classifications including skeletal and dental indices. The data were randomly divided into training, validation, and test sets in the ratio of 7∶2∶1. The open source DenseNet121 was used to construct the model. The performance of the model was evaluated by classification accuracy, precision rate, sensitivity, specificity and area under the curve (AUC). Visualization of model regions of interest through class activation heatmaps. Results: The automatic classification model of lateral cephalograms was successfully established. It took 0.012 s on average to make 8 diagnoses on a lateral cephalogram. The accuracy of 5 classifications was 80%-90%, including sagittal and vertical skeletal facial pattern, mandibular growth, inclination of upper incisors, and protrusion of lower incisors. The acuracy rate of 3 classifications was 70%-80%, including maxillary growth, inclination of lower incisors and protrusion of upper incisors. The average AUC of each classification was ≥0.90. The class activation heat map of successfully classified lateral cephalograms showed that the AI model activation regions were distributed in the relevant structural regions. Conclusions: In this study, an automatic classification model for lateral cephalograms was established based on the DenseNet121 to achieve rapid classification of eight commonly used clinical diagnostic items.
Male ; Female ; Humans ; Young Adult ; Adult ; Artificial Intelligence ; Deep Learning ; Cephalometry ; Maxilla ; Mandible/diagnostic imaging*

Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
Humans ; Male ; Female ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Deep Learning ; Reproducibility of Results ; Radiography ; Algorithms ; Cone-Beam Computed Tomography