Objective:To investigate the clinical outcomes of arthroscopic suture anchor fixation for acute bony Bankart lesions.Methods:Data of 49 patients with acute bone Bankart injury treated with suture anchor fixation under arthroscopy at the Affiliate Nanjing Drum Tower Hospital of Nanjing University School of Medicine from February 2019 to July 2024 were retrospectively analyzed, including 34 males and 15 females, aged 46.4±17.7 years (range, 18-81 years). Body mass index was 26.3±4.2 kg/m 2 (range, 19.8-37.9 kg/m 2). There were 17 patients with left shoulder and 32 patients with right shoulder. The time from injury to operation was 12.6±10.5 d (range, 1-50 d). CT three-dimensional reconstruction showed that the area of bone defect accounted for 20.1%±11.4% (range, 8%-49%) of the glenoid area. According to the degree of bone defect, there were 38 cases in the bone defect area ≤25% group and 11 cases in the bone defect area >25% group. All 49 patients received shoulder arthroscopic fixation with wire anchor. All 49 the patients were treated under shoulder arthroscopy using suture anchor technique. Using American Shoulder & Elbow Surgeon (ASES) score, University of California, Los Angeles (UCLA) score, Rowe score as well as shoulder range of motion to evaluate shoulder function. The position and healing of the fracture mass were evaluated with shoulder joint CT and three-dimensional reconstruction at immediate and final follow-up. Results:The incision healed in one stage and no infection occurred in all patients. All 49 patients were followed up for a period of 3 to 81 months, with an average follow-up of 23.8±20.2 months. At the final follow-up, the mean forward elevation, external rotation, and internal rotation improved from 126.1°±20.3°, 36.9°±14.0°, and 10±2 preoperatively to 167.1°±15.5°, 66.8°±8.3°, and 6±1 at the last follow-up, respectively ( P<0.05). At the final follow-up, the mean ASES score, UCLA score, and Rowe score were all significantly improved from 41.3±11.9, 14.2±6.1 and 46.9±14.7 preoperatively to 89.7±7.8, 31.5±3.6 and 92.4±7.4, respectively ( P<0.05). The differences between the final follow-up and preoperative values for forward elevation in the bone defect area >25% group and the bone defect area ≤25% group were 43°±20° and 41°±21°, respectively. The differences in lateral external rotation were 34°±8° and 29°±18°, while the differences in internal rotation (measured by hand-behind-back reach) were 5±2 and 4±2, respectively. None of these differences were statistically significant. The differences between the final follow-up and preoperative scores in the bone defect area >25% fracture fragment group and the bone defect area ≤25% group were as follows: ASES score, 50.9±14.4 vs. 47.7±12.8; UCLA score, 18.4±3.2 vs. 17.0±6.9; and Rowe score, 40.5±13.5 vs. 46.9±15.0. None of these differences were statistically significant. CT examination at the last follow-up showed that all fractures were healed, all patients in the bone defect area ≤25% group achieved good reduction, and 3 patients in the bone defect area >25% group had step-offs on the glenoid surface. Postoperative shoulder adhesion occurred in 5 patients, which was improved after intensive abduction and external rotation exercise. Conclusions:Arthroscopic suture anchor fixation is effective for the bone defect area ≤25% bony Bankart lesions, offering advantages of minimal invasiveness and rapid recovery. For lesions involving more than the bone defect area 25% of the glenoid surface, enhanced fixation strength is recommended to prevent fracture fragment displacement.

Human Respiratory Stem Cells (RSCs) play a crucial role in the maintenance, repair and regeneration of the respiratory system. As a novel therapeutic method, stem cell therapy is a popular research direction in the medical field. And with the in-depth research on the mechanism of pneumonia caused by respiratory infections in recent years, the use of RSCs to explore pneumonia caused by respiratory infections and its therapeutic strategies has become a hot topic. In this paper, we firstly outlined the types of RSCs, summarized the mechanism of pneumonia caused by respiratory tract infections, discussed the advantages of RSCs application and the progress of culture differentiation, and elaborated the therapeutic exploration of RSCs in pneumonia caused by respiratory tract infections.

Objective:By analyzing peripheral blood indicators, we constructed and validated a novel lung cancer prediction model using machine learning algorithms for riskassessment of lung cancer.Methods:A retrospective case-control design was conducted on the clinical data of 194 newly diagnosed lung cancer patients [mean age: (66.80±9.09) years, 126 males and 68 females] admitted to Qilu Second Hospital of Shandong University between January 9, 2020, and December 31, 2024, serving as the case group. During the same period, 290 healthy individuals undergoing physical examinations [mean age: (61.18±14.31) years, 155 males and 135 females J were enrolled as the control group. A total of 46 peripheral blood indicators-including routine blood tests, coagulation parameters, liver function markers, and tumor-related indices-along with two basic characteristics (age and sex) were included in the analysis. Eleven machinelearning algorithms including logistic regression, randomforest, support vector classifier, extreme gradient boosting, gradient boosting decision tree, decision tree, multilayer perceptron, linear discriminant analysis, adaptive boosting, Gaussian naive Bayes and light gradient-boosting machine-were trained for early diagnosis of lung-cancer.Model performance was evaluated by the area under the ROC, accuracy, positive predictive value, negative predictive value, F1-score and 95% confidence interval (95% CI). The best performing algorithm was selected, and feature importance was ranked with Shapley Additive Planation(SHAP) values. Results:The support-vector classifier achieved the best performance for predicting lung-cancer risk (AUC=0.974; 95 % CI 0.951-0.989) and was retained for final model establishment. After 20 rounds of stratified 10-fold cross-validation the mean AUC was 0.950; learning-curve, decision-curve and calibration analyses confirmed its superior generalizability, clinical utility and calibration.SHAPley additive explanations and decision-tree feature importance consistently identified neuron-specific enolase, carcinoembryonic antigen, and squamous-cell carcinoma antigen as the three most critical predictors of lung-cancer risk. Conclusion:An SVM-based lung cancer prediction model was successfully established to determine the risk of developing lung cancer.

Objective:To investigate the clinical outcomes of arthroscopic suture anchor fixation for acute bony Bankart lesions.Methods:Data of 49 patients with acute bone Bankart injury treated with suture anchor fixation under arthroscopy at the Affiliate Nanjing Drum Tower Hospital of Nanjing University School of Medicine from February 2019 to July 2024 were retrospectively analyzed, including 34 males and 15 females, aged 46.4±17.7 years (range, 18-81 years). Body mass index was 26.3±4.2 kg/m 2 (range, 19.8-37.9 kg/m 2). There were 17 patients with left shoulder and 32 patients with right shoulder. The time from injury to operation was 12.6±10.5 d (range, 1-50 d). CT three-dimensional reconstruction showed that the area of bone defect accounted for 20.1%±11.4% (range, 8%-49%) of the glenoid area. According to the degree of bone defect, there were 38 cases in the bone defect area ≤25% group and 11 cases in the bone defect area >25% group. All 49 patients received shoulder arthroscopic fixation with wire anchor. All 49 the patients were treated under shoulder arthroscopy using suture anchor technique. Using American Shoulder & Elbow Surgeon (ASES) score, University of California, Los Angeles (UCLA) score, Rowe score as well as shoulder range of motion to evaluate shoulder function. The position and healing of the fracture mass were evaluated with shoulder joint CT and three-dimensional reconstruction at immediate and final follow-up. Results:The incision healed in one stage and no infection occurred in all patients. All 49 patients were followed up for a period of 3 to 81 months, with an average follow-up of 23.8±20.2 months. At the final follow-up, the mean forward elevation, external rotation, and internal rotation improved from 126.1°±20.3°, 36.9°±14.0°, and 10±2 preoperatively to 167.1°±15.5°, 66.8°±8.3°, and 6±1 at the last follow-up, respectively ( P<0.05). At the final follow-up, the mean ASES score, UCLA score, and Rowe score were all significantly improved from 41.3±11.9, 14.2±6.1 and 46.9±14.7 preoperatively to 89.7±7.8, 31.5±3.6 and 92.4±7.4, respectively ( P<0.05). The differences between the final follow-up and preoperative values for forward elevation in the bone defect area >25% group and the bone defect area ≤25% group were 43°±20° and 41°±21°, respectively. The differences in lateral external rotation were 34°±8° and 29°±18°, while the differences in internal rotation (measured by hand-behind-back reach) were 5±2 and 4±2, respectively. None of these differences were statistically significant. The differences between the final follow-up and preoperative scores in the bone defect area >25% fracture fragment group and the bone defect area ≤25% group were as follows: ASES score, 50.9±14.4 vs. 47.7±12.8; UCLA score, 18.4±3.2 vs. 17.0±6.9; and Rowe score, 40.5±13.5 vs. 46.9±15.0. None of these differences were statistically significant. CT examination at the last follow-up showed that all fractures were healed, all patients in the bone defect area ≤25% group achieved good reduction, and 3 patients in the bone defect area >25% group had step-offs on the glenoid surface. Postoperative shoulder adhesion occurred in 5 patients, which was improved after intensive abduction and external rotation exercise. Conclusions:Arthroscopic suture anchor fixation is effective for the bone defect area ≤25% bony Bankart lesions, offering advantages of minimal invasiveness and rapid recovery. For lesions involving more than the bone defect area 25% of the glenoid surface, enhanced fixation strength is recommended to prevent fracture fragment displacement.

Human Respiratory Stem Cells (RSCs) play a crucial role in the maintenance, repair and regeneration of the respiratory system. As a novel therapeutic method, stem cell therapy is a popular research direction in the medical field. And with the in-depth research on the mechanism of pneumonia caused by respiratory infections in recent years, the use of RSCs to explore pneumonia caused by respiratory infections and its therapeutic strategies has become a hot topic. In this paper, we firstly outlined the types of RSCs, summarized the mechanism of pneumonia caused by respiratory tract infections, discussed the advantages of RSCs application and the progress of culture differentiation, and elaborated the therapeutic exploration of RSCs in pneumonia caused by respiratory tract infections.

Objective:By analyzing peripheral blood indicators, we constructed and validated a novel lung cancer prediction model using machine learning algorithms for riskassessment of lung cancer.Methods:A retrospective case-control design was conducted on the clinical data of 194 newly diagnosed lung cancer patients [mean age: (66.80±9.09) years, 126 males and 68 females] admitted to Qilu Second Hospital of Shandong University between January 9, 2020, and December 31, 2024, serving as the case group. During the same period, 290 healthy individuals undergoing physical examinations [mean age: (61.18±14.31) years, 155 males and 135 females J were enrolled as the control group. A total of 46 peripheral blood indicators-including routine blood tests, coagulation parameters, liver function markers, and tumor-related indices-along with two basic characteristics (age and sex) were included in the analysis. Eleven machinelearning algorithms including logistic regression, randomforest, support vector classifier, extreme gradient boosting, gradient boosting decision tree, decision tree, multilayer perceptron, linear discriminant analysis, adaptive boosting, Gaussian naive Bayes and light gradient-boosting machine-were trained for early diagnosis of lung-cancer.Model performance was evaluated by the area under the ROC, accuracy, positive predictive value, negative predictive value, F1-score and 95% confidence interval (95% CI). The best performing algorithm was selected, and feature importance was ranked with Shapley Additive Planation(SHAP) values. Results:The support-vector classifier achieved the best performance for predicting lung-cancer risk (AUC=0.974; 95 % CI 0.951-0.989) and was retained for final model establishment. After 20 rounds of stratified 10-fold cross-validation the mean AUC was 0.950; learning-curve, decision-curve and calibration analyses confirmed its superior generalizability, clinical utility and calibration.SHAPley additive explanations and decision-tree feature importance consistently identified neuron-specific enolase, carcinoembryonic antigen, and squamous-cell carcinoma antigen as the three most critical predictors of lung-cancer risk. Conclusion:An SVM-based lung cancer prediction model was successfully established to determine the risk of developing lung cancer.

Objective:To evaluate the reliability and validity of a questionnaire assessing the leadership qualities of primary healthcare institution managers, and to further clarify the current state of leadership development among management teams of community health service centers in Shanghai.Methods:The study was a cross-sectional survey. It was conducted from August to December 2021, and used a stratified sampling method. Using a self-developed questionnaire for primary healthcare institution managers, we surveyed 279 individuals from 10 community health service centers in Shanghai, including management teams, middle-level cadres, general practitioners, and staff from health administrative departments in their respective districts. Leadership qualities were evaluated on five dimensions: inspiration, decisiveness, control, influence, and foresight. Cronbach′s α coefficient and split half coefficient were used to analyze the reliability of the questionnaire, and confirmatory factor analysis was used to assess the structural validity of the scale.Results:The overall Cronbach′s α reliability of the questionnaire for the comprehensive management of community health service centers was 0.96, and the Spearman-Brown split-half coefficient was 0.94. The validity analysis yielded a KMO value of 0.975, the RMSEA for factor analysis was 0.085, and the adaptation indexes all met the model adaptation conditions. Of the 279 participants, 174 were female (62.4%), 257 held a mid-level or higher professional title (92.1%). The overall leadership score of the community health service center management teams was (4.43±0.59), with the dimensions ranked from highest to lowest as follows: inspiration (4.52±0.55), decisiveness (4.46±0.62), control (4.44±0.60), influence (4.42±0.63), and foresight (4.32±0.69). The foresight score was significantly lower than the other four dimensions (all P<0.05). Conclusions:The questionnaire used to assess the leadership qualities of primary healthcare institution managers is reliable and valid. The development of leadership qualities among management teams of community health service centers in Shanghai is unbalanced, with foresight being the weakest dimension.

Objective:To analyze the trend and hot spots of research on multimorbidity.Methods:The Chinese and English literature in databases of CNKI, Wanfang data and Web of science from inception to July 2022 were retrieved using "multimorbidity" and "multiple chronic conditions" as the search terms. The scientific knowledge mapping software VOSviewer was used to analyze the co-occurrence network of scientific knowledge from the aspects of countries, Chinese and English keywords,burst terms and existing research results; and the status quo and hot trends of studies on multimorbidity at home and abroad were summarized and compared.Results:A total of 251 Chinese publications and 6 351 English publications were included. From the perspective of research trends, the overall trend of domestic and international publications showed a fluctuating upward trend in general, but the pace of development was different. The cooperation network represented by the United States, England, Canada, China, Japan, Australia and other countries was the largest regional cooperation network. Germany, the Netherlands, the United States, Australia and other countries were the first regions to carry out studies on multimorbidity. Studies on multimorbidity in China mainly focused on three topics: diagnosis, treatment and care of multimorbidity, common disease management of multimorbidity, and research methods of multimorbidity. The English literature mainly focused on the clustering of three topics: multi-disease co-diagnosis and care research, multi-disease co-management model research, and multimorbidity related research. The analysis of burst terms indicated the research focus and trend change in different time periods. The results of the outburst word analysis showed that the recent research hotspots of multimorbidity were public health, machine learning, geriatric medicine and so on.Conclusions:The number of studies on the multimorbidity is rapidly increasing both domestically and internationally, and related research in China is still in the early stages of development. In terms of research hotspots, the research of multimorbidity has gradually shifted from phenomenon description to topics such as medical services and research methods of multimorbidity.

OBJECTIVETo investigate the role of miR-144-3p in regulating osteogenic differentiation of bone marrow mesenchymal stem cells and predict its target genes.

METHODSRat bone marrow mesenchymal stem cells (BMSCs) with induced osteogenic differentiation were examined for the expressions of Runx2, OCN and miR-144-3p. The effects of transfection with a miR-144-3p mimic or a miR-144-3p inhibitor were tested on the osteogenic differentiation of the BMSCs. The changes in the expressions of the predicted target of miR-144-3p in the BMSCs during induced osteogenic differentiation were examined using Western blotting and qRT-PCR.

RESULTSRat BMSCs with induced differentiation into osteoblasts exhibited a progressive increase in the expressions of Runx2 and OCN (two markers of osteogenic differentiation), while the expression of miR-144-3p gradually decreased during the differentiation till reaching the lowest level at 21 days of induction. In rat BMSCs, transfection with the miR-144-3p mimic significantly decreased ALP activity ( < 0.05) wile transfection with the miR-144-3p inhibitor significantly increased ALP activity ( < 0.05) in rat BMSCs. Analysis based on miRanda, microRNA.org database and TargetScan suggested that Smad4 was the most likely target gene of miR-144-3p. The results of qRT-PCR showed no significant differences in expression levels of Smad4 among the cells with different treatments ( > 0.05), while Western blotting revealed a significantly decreased expression of Smad4 in the cells transfected with miR-144-3p mimics and an increased Smad4 expression in the cells transfected with the miR-144-3p inhibitor as compared with the control cells ( < 0.05).

CONCLUSIONSmiR-144-3p participates in the regulation of osteogenic differentiation of rat BMSCs, and its inhibitory effect on osteogenic differentiation is achieved probably by decreasing the expression level of Smad4.

OBJECTIVETo study the inhibitory effect of CD133 monoclonal antibody labeled with ¹³¹I (¹³¹I-CD133mAb) on Huh-7 human liver cancer cell line overexpressing CD133 antigen in vitro and in mouse models bearing the tumor cell xenograft.

METHODS¹³¹I-CD133mAb was prepared by chloramines-T method and evaluated for its stability. Flow cytometry and immunohistochemistry were used to detect the expression of CD133 in Huh-7 cells and in Huh-7 cell-derived tumors, respectively. Huh-7 cells treated with ¹³¹I-CD133mAb plus cisplatin (DDP), ¹³¹I -CD133mAb, DDP, or no treatment (blank control) were examined for cell proliferation suppression by MTT assay with the IC₅₀ calculated. BALB/c mice bearing subcutaneous Huh-7 cell xenograft in the right forelegs were treated with ¹³¹I -CD133mAb, DDP, or both every two days for two weeks. The tumor size and volume were measured twice a week, and pathological examination of the tumor was carried out after the treatments. The tumor inhibition rate was calculated and tumor cell apoptosis observed with HE staining.

RESULTSThe labeling ratio of ¹³¹I-CD133mAb was 90.25% and the radiochemical purity was 97.78%. Huh-7 cells showed obviously higher CD133 expression than HepG2 cells. ¹³¹I-CD133mAb combined with DDP group resulted in a significantly higher tumor inhibition rate than other treatments in the tumor-bearing mice.

CONCLUSION¹³¹I-CD133mAb can inhibit the growth of liver cancer cells with a high CD133 expression both in vivo and in vitro.

AC133 Antigen ; Animals ; Antibodies, Monoclonal ; pharmacology ; Antigens, CD ; immunology ; Apoptosis ; Carcinoma, Hepatocellular ; drug therapy ; Cell Line, Tumor ; drug effects ; Cell Proliferation ; Cisplatin ; pharmacology ; Glycoproteins ; immunology ; Hep G2 Cells ; Humans ; Liver Neoplasms ; Mice ; Mice, Inbred BALB C ; Mice, Nude ; Peptides ; immunology ; Xenograft Model Antitumor Assays