Objective To understand the usage of national medical insurance negotiated drugs(hereinafter referred to as"negotiated drugs")at Tianjin Second People's Hospital and to provide references for optimizing and adjusting the hospital's drug catalog.Methods A retrospective study was conducted on the usage of negotiated drugs from January 1,2018 to December 31,2022 to compare changes in the unit price of drugs,the quantity and amount of sales,the usage frequency(DDDs)and the daily average cost(DDC),etc before and after the negotiation.Results Between 2018 and 2022,the varieties of negotiated drugs used in the hospital increased from the original 5 to 24.Among the 13 drugs analyzed for comparison,the unit prices of 11 drugs had been reduced after negotiation,and 7 drugs were included in the medical insurance and outpatient-specific disease payment directory.The average decrease in DDC was 36.43%,and the average increase in DDDs was 1 770.31%.The implementation of this policy had increased the accessibility of medication for patients and significantly increased sales quantity.Conclusion The quantity of sales of negotiated drugs significantly increased through reducing the unit price of drugs and including them in the scope of medical insurance payment,etc.These increase the pharmacoeconomic viability of negotiated drugs,effectively reduce the burden on patients,promote rational drug use in hospitals,and improve the access and efficiency of drugs.

ObjectiveTo explore the mechanism of Cangxi Tongbi capsules （CXTB） in regulating the p38 mitogen-activated protein kinase （p38 MAPK）/NOD-like receptor protein 3 （NLRP3）/cysteine protease-1 （Caspase-1） signaling pathway to inhibit pyroptosis of cartilage cells in knee osteoarthritis （KOA）. MethodSixty male SD rats were randomly divided into a sham operation group， a model group， low， medium， and high dose CXTB groups， and a positive control group， with 10 rats per group. The modified Hulth method was employed to establish a rat model of KOA. According to their respective assignments， rats were administered CXTB （0.25， 0.5， 1.0 g·kg^-1） and Celecoxib （24 mg·kg^-1） by gavage. The sham operation and model groups were given an equivalent volume of physiological saline. Treatment was performed once daily for 28 days. Micro-computed tomography （Micro-CT） was used to assess bone volume/total volume （BV/TV） and trabecular separation （Tb.Sp）. Joint degeneration was evaluated through hematoxylin-eosin （HE） staining， safranin-fast green （SO） staining， and Osteoarthritis Research Society International （OARSI） scoring. Western blot analysis was conducted to measure the expression levels of p38 MAPK， phosphorylated p38 MAPK （p-p38 MAPK）， NLRP3， Caspase-1， and gasdermin D （GSDMD） proteins. Real-time PCR was used to assess mRNA expression levels of p38 MAPK， NLRP3， Caspase-1， and GSDMD genes. Enzyme-linked immunosorbent assay （ELISA） was used to measure serum concentrations of inflammatory cytokines including tumor necrosis factor-alpha （TNF-α）， interleukin-1 beta （IL-1β）， and interleukin-18 （IL-18）. After knee replacement surgery， cartilage tissue was analyzed using Western blot to assess the protein expression levels of p38 MAPK， p-p38 MAPK， NLRP3， Caspase-1， and GSDMD， and Real-time PCR was used to evaluate gene expression levels of p38 MAPK， NLRP3， Caspase-1， and GSDMD. ResultMicro-CT analysis revealed significant narrowing of the joint space and increased bone spur formation in KOA rats compared with the sham operation group， with a decrease in BV/TV ratio and an increase in Tb.Sp value （P<0.01）. Serum levels of TNF-α， IL-1β， and IL-18 were elevated （P<0.01）. The protein expression levels of p-p38 MAPK， NLRP3， Caspase-1， and GSDMD in cartilage were significantly increased （P<0.01）， and the mRNA expression levels of p38 MAPK， NLRP3， Caspase-1， and GSDMD were also enhanced （P<0.01）. Significant differences in protein expression of p-p38 MAPK， NLRP3， Caspase-1， and GSDMD were observed between normal and diseased cartilage tissues after knee replacement surgery （P<0.05）， and the gene expression of p38 MAPK， NLRP3， Caspase-1， and GSDMD were also significantly different （P<0.01）. HE and SO staining showed roughened joint surfaces， reduced cartilage thickness， and disordered cellular arrangement in KOA rats. OARSI scores were significantly higher （P<0.01）. Compared with the model group， treatment with low， medium， and high concentrations of CXTB resulted in increased BV/TV ratios and decreased Tb.Sp values in the knee joints of rats （P<0.01）. HE and SO staining indicated a trend towards smoother joint surfaces and reduced OARSI scores （P<0.01）. The protein expression levels of p-p38 MAPK， NLRP3， Caspase-1， and GSDMD were notably decreased （P<0.05）， as were the mRNA expression levels of p38 MAPK， NLRP3， Caspase-1， and GSDMD （P<0.01）. Additionally， serum concentrations of TNF-α， IL-1β， and IL-18 were significantly reduced （P<0.01）. ConclusionCXTB intervention may alleviate knee joint degeneration in KOA rats and inhibit the expression of inflammatory factors and pyroptosis of cartilage cells， thereby protecting cartilage. The underlying mechanism may involve modulation of the p38 MAPK/NLRP3/Caspase-1 signaling pathway.

Objective:To explore the disease characteristics and TCM constitutions of patients with nonunion; To analyze the risk factors of nonunion and its correlation with TCM constitution; To provide research ideas for the prevention and treatment of nonunion with TCM based on the concept of "prevention of disease".Methods:This study was an observational case-control study. 334 orthopedic patients who visited the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from September 2020 to September 2022 were selected. 167 patients were collected according to the diagnostic criteria of nonunion, then 167 patients who met the criteria of fracture healing were included as the control group. General information and the classification of TCM constitutions of the patients were collected. The distribution rules of TCM constitution and patients' risk factors were statistically analyzed, and the correlation between the two was explored.Results:The unbalanced constitution was found in 126 cases (75.45%) in the bone nonunion group and 108 cases (62.87%) in the fracture healing group, with statistical significance ( χ2=4.63, P=0.032). The proportion of TCM constitutional types distributed among the patients with nonunion were in the following order: phlegm-dampness constitution, yang-deficiency constitution, mild constitution, qi-deficiency constitution, yin-deficiency constitution, damp-heat constitution, qi-stagnation constitution, blood-stasis constitution and inherited-special constitution. There was statistical significance between the nonunion group and the fracture healing group in the phlegm-dampness and yang-deficiency in men and yang-deficiency in women ( χ 2 values were 19.12, 4.96, 4.92, respectively, P<0.01 or P<0.05). Diabetes [ OR (95% CI): 2.672(1.067, 6.693), P=0.036], BMI≥24 [ OR (95% CI): 1.903 (1.182,3.063), P=0. 008], phlegm-dampness [ OR (95% CI): 3.099 (1.624,5.913), P=0.001] and yang-deficiency [ OR (95% CI): 2.424 (1.252,4.693), P=0.009] as independent risk factors for the development of nonunion in multifactorial logistic regression analysis. Conclusions:The proportion of unbalanced constitution in patients with nonunion is significantly higher than that in patients with fracture healing. Phlegm-dampness constitution and yang-deficiency constitution are independent risk factors for the development of nonunion. TCM constitutional types can be an important factor in the risk assessment of nonunion and the prevention and treatment of nonunion based on the concept of "prevention of disease" has a sound theoretical basis and wide application prospects.

Objective To construct a 3D ResNet deep learning model based on multi-parametric prostate MRI(mpMRI),and to observe its value for automatically identifying the main MR sequences.Methods Totally 1 153 sets pre-biopsy prostate mpMRI data of 1 086 patients who underwent ultrasound-guided prostate biopsy in 3 hospitals were collected and divided into different image datasets,i.e.T2WI,diffusion-weighted imaging(DWI)and apparent diffusion coefficient(ADC)maps with a total of 5 151 images.Then the images were categorized into non-fat-suppressed T2WI(T2WI_nan,n=1 000),fat-suppressed T2WI(T2WI_fs,n=1 188),high b-value DWI(DWI_High,b-value≥500 s/mm2,n=1 045),low b-value DWI(DWI_Low,b-value＜500 s/mm2,n=1 012)or ADC map(n=906),also divided into training set(n=4 122),verification set(n=513)and test set(n=516)at the ratio of 8∶1∶1.After preprocessing and augmentation,a 3D ResNet model for automatically identifying image categories was trained and optimized in the training and verification sets,and its classification efficiency was evaluated in the test set.Results The identifying accuracy,sensitivity,specificity,positive predictive value,negative predictive value,F1 score and Kappa value of the obtained model for automatically identifying categories of images in the test set was 0.995-1.000,0.990-1.000,0.998-1.000,0.990-1.000,0.998-1.000,0.995-1.000 and 0.994-1.000,respectively.Conclusion The obtained 3D ResNet deep learning model could effectively and automatically identify the main sequences of prostate mpMRI.

Objective To develop a 3D V-Net deep learning segmentation model based on multi-center data,and to evaluate its value for automatic segmentation of prostate on T2WI and apparent diffusion coefficient(ADC)maps.Methods Totally 2 894 sets of multi-parametric MRI data of 2 673 patients with clinically suspected prostate cancer from 3 medical centers within 1 month before biopsy were retrospectively collected.Finally 5 974 sets axial images were enrolled,including 3 654 sets of T2WI and 2 320 sets of ADC maps.Prostate contours were manually annotated layer by layer on axial T2WI and ADC maps,and the left-to-right,anterior-to-posterior,superior-to-inferior diameters and volume of prostate were measured and taken as reference standards.The images were divided into training set(n=4 780,including 2 907 sets of T2WI and 1 873 sets of ADC map),verification set(n=601,including 384 sets of T2WI and 217 sets of ADC map)and test set(n=593,including 363 sets of T2WI and 230 sets of ADC map)at the ratio of 8:1:1.After preprocessing and augmentation,3D V-Net was used to construct and train the segmentation model based on training and verification sets,and the segmentation performance of the model was evaluated in test set using Dice similarity coefficient(DSC),Jaccard coefficient(JACARD)and volume similarity(VS),respectively.The parameters measured with the model were compared with the reference standards,and the correlations were explored.Results Compared with the corresponding ADC maps,DSC,JACARD and VS of the model for automatic segmentation of prostate on T2WI in test set were all higher(all P＜0.001).The left-to-right,anterior-to-posterior and superior-to-inferior diameters of prostate measured with the model on both T2WI and ADC maps were all larger than the reference standards(all P＜0.001),while no significant difference of the volume was found(both P＞0.05).All parameters measured with the model on T2WI and ADC maps were positively correlated with reference standards(rs=0.794-0.985).Conclusion 3D V-Net deep learning model could automatically segment prostate on T2WI and ADC maps with high accuracy,and its efficiency based on T2WI was better than that based on ADC maps.

With the progress of society and the continuous improvement of people′s living standards in China, the public′s demand for medical services is becoming increasingly diversified. How to move hospital services forward and improve medical services centered on patients has become a key consideration for hospitals to enhance patients′ sense of medical satisfaction. A certain hospital has established a one-stop patient service hotline, integrating functions such as number inquiry, medical consultation, appointment registration, appointment examination, praise and suggestions, complaint follow-up, etc., injecting a complaint handling management mode, and responding to and solving patient feedback problems in a timely manner. Since the launch of the patient service hotline, it has effectively solved the problems that patients encountered during their visits, effectively reduced the hospital′s complaint rate, and initially formed a service closed-loop management. From March to October 2023, the demand ratio of the 12345 hotline in the hospital has continuously decreased, and was significantly lower than the average level of 22 municipal hospitals in Beijing. In the future, we should further improve the communication skills between doctors and patients, focus on managing appeals and services, and continue to strengthen proactive governance.

Objective: To compare the clinical outcomes and biomechanical characteristics of 1-, 2-, and 3-level pedicle subtraction osteotomy (PSO), and establish selection criteria based on preoperative radiographic parameters. Methods: Patients undergone PSO to treat ankylosing spondylitis from February 2009 to May 2019 in Sun Yat-sen Memorial Hospital of Sun Yat-sen University were enrolled. According to the quantity of osteotomy performed, the participants were divided into group A (1-level PSO, n = 24), group B (2-level PSO, n = 19), and group C (3-level PSO, n = 11). Clinical outcomes were assessed before surgery and at the final follow-up. Comparisons of the radiographic parameters and quality-of-life indicators were performed among and within these groups, and the selection criteria were established by regression. Finite element analysis was conducted to compare the biomechanical characteristics of the spine treated with different quantity of osteotomies under different working conditions. Results: Three-level PSO improved the sagittal parameters more significantly, but resulted in longer operative time and greater blood loss (p < 0.05). Greater stress was found in the proximal screws and proximal junction area of the vertebra in the model simulating 1-level PSO. Larger stress of screws and vertebra was observed at the distal end in the model simulating 3-level PSO. Conclusion Multilevel PSO works better for larger deformity correction than single-level PSO by allowing greater sagittal parameter correction and obtaining a better distribution of stress in the hardware construct, although with longer operation time and greater blood loss. Three-level osteotomy is recommended for the patients with preoperative of global kyphosis > 85.95°, T1 pelvic angle > 62.3°, sagittal vertical alignment > 299.55 mm, and pelvic tilt+ chin-brow vertical angle > 109.6°.

Objective: To compare the clinical outcomes and biomechanical characteristics of 1-, 2-, and 3-level pedicle subtraction osteotomy (PSO), and establish selection criteria based on preoperative radiographic parameters. Methods: Patients undergone PSO to treat ankylosing spondylitis from February 2009 to May 2019 in Sun Yat-sen Memorial Hospital of Sun Yat-sen University were enrolled. According to the quantity of osteotomy performed, the participants were divided into group A (1-level PSO, n = 24), group B (2-level PSO, n = 19), and group C (3-level PSO, n = 11). Clinical outcomes were assessed before surgery and at the final follow-up. Comparisons of the radiographic parameters and quality-of-life indicators were performed among and within these groups, and the selection criteria were established by regression. Finite element analysis was conducted to compare the biomechanical characteristics of the spine treated with different quantity of osteotomies under different working conditions. Results: Three-level PSO improved the sagittal parameters more significantly, but resulted in longer operative time and greater blood loss (p < 0.05). Greater stress was found in the proximal screws and proximal junction area of the vertebra in the model simulating 1-level PSO. Larger stress of screws and vertebra was observed at the distal end in the model simulating 3-level PSO. Conclusion Multilevel PSO works better for larger deformity correction than single-level PSO by allowing greater sagittal parameter correction and obtaining a better distribution of stress in the hardware construct, although with longer operation time and greater blood loss. Three-level osteotomy is recommended for the patients with preoperative of global kyphosis > 85.95°, T1 pelvic angle > 62.3°, sagittal vertical alignment > 299.55 mm, and pelvic tilt+ chin-brow vertical angle > 109.6°.

Objective: To compare the clinical outcomes and biomechanical characteristics of 1-, 2-, and 3-level pedicle subtraction osteotomy (PSO), and establish selection criteria based on preoperative radiographic parameters. Methods: Patients undergone PSO to treat ankylosing spondylitis from February 2009 to May 2019 in Sun Yat-sen Memorial Hospital of Sun Yat-sen University were enrolled. According to the quantity of osteotomy performed, the participants were divided into group A (1-level PSO, n = 24), group B (2-level PSO, n = 19), and group C (3-level PSO, n = 11). Clinical outcomes were assessed before surgery and at the final follow-up. Comparisons of the radiographic parameters and quality-of-life indicators were performed among and within these groups, and the selection criteria were established by regression. Finite element analysis was conducted to compare the biomechanical characteristics of the spine treated with different quantity of osteotomies under different working conditions. Results: Three-level PSO improved the sagittal parameters more significantly, but resulted in longer operative time and greater blood loss (p < 0.05). Greater stress was found in the proximal screws and proximal junction area of the vertebra in the model simulating 1-level PSO. Larger stress of screws and vertebra was observed at the distal end in the model simulating 3-level PSO. Conclusion Multilevel PSO works better for larger deformity correction than single-level PSO by allowing greater sagittal parameter correction and obtaining a better distribution of stress in the hardware construct, although with longer operation time and greater blood loss. Three-level osteotomy is recommended for the patients with preoperative of global kyphosis > 85.95°, T1 pelvic angle > 62.3°, sagittal vertical alignment > 299.55 mm, and pelvic tilt+ chin-brow vertical angle > 109.6°.

Objective: To compare the clinical outcomes and biomechanical characteristics of 1-, 2-, and 3-level pedicle subtraction osteotomy (PSO), and establish selection criteria based on preoperative radiographic parameters. Methods: Patients undergone PSO to treat ankylosing spondylitis from February 2009 to May 2019 in Sun Yat-sen Memorial Hospital of Sun Yat-sen University were enrolled. According to the quantity of osteotomy performed, the participants were divided into group A (1-level PSO, n = 24), group B (2-level PSO, n = 19), and group C (3-level PSO, n = 11). Clinical outcomes were assessed before surgery and at the final follow-up. Comparisons of the radiographic parameters and quality-of-life indicators were performed among and within these groups, and the selection criteria were established by regression. Finite element analysis was conducted to compare the biomechanical characteristics of the spine treated with different quantity of osteotomies under different working conditions. Results: Three-level PSO improved the sagittal parameters more significantly, but resulted in longer operative time and greater blood loss (p < 0.05). Greater stress was found in the proximal screws and proximal junction area of the vertebra in the model simulating 1-level PSO. Larger stress of screws and vertebra was observed at the distal end in the model simulating 3-level PSO. Conclusion Multilevel PSO works better for larger deformity correction than single-level PSO by allowing greater sagittal parameter correction and obtaining a better distribution of stress in the hardware construct, although with longer operation time and greater blood loss. Three-level osteotomy is recommended for the patients with preoperative of global kyphosis > 85.95°, T1 pelvic angle > 62.3°, sagittal vertical alignment > 299.55 mm, and pelvic tilt+ chin-brow vertical angle > 109.6°.