Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

OBJECTIVE: To explore and verify the effect and potential mechanism of Brucea javanica Seed Oil Emulsion Injection (YDZI) and Shengmai Injection (SMI) on peripheral microcirculation dysfunction in treatment of gastric cancer (GC). METHODS: The potential mechanisms of YDZI and SMI were explored through network pharmacology and verified by cellular and clinical experiments. Human microvascular endothelial cells (HMECs) were cultured for quantitative real-time polymerase chain reaction, Western blot analysis, and human umbilical vein endothelial cells (HUVECs) were cultured for tube formation assay. Twenty healthy volunteers and 97 patients with GC were enrolled. Patients were divided into surgical resection, surgical resection with chemotherapy, and surgical resection with chemotherapy combining YDZI and SMI groups. Forearm skin blood perfusion was measured and recorded by laser speckle contrast imaging coupled with post-occlusive reactive hyperemia. Cutaneous vascular conductance and microvascular reactivity parameters were calculated and compared across the groups. RESULTS: After network pharmacology analysis, 4 ingredients, 82 active compounds, and 92 related genes in YDZI and SMI were screened out. β-Sitosterol, an active ingredient and intersection compound of YDZI and SMI, upregulated the expression of vascular endothelial growth factor A (VEGFA) and prostaglandin-endoperoxide synthase 2 (PTGS2, P<0.01), downregulated the expression of caspase 9 (CASP9) and estrogen receptor 1 (ESR1, P<0.01) in HMECs under oxaliplatin stimulation, and promoted tube formation through VEGFA. Chemotherapy significantly impaired the microvascular reactivity in GC patients, whereas YDZI and SMI ameliorated this injury (P<0.05 or P<0.01). CONCLUSIONS YDZI and SMI ameliorated peripheral microvascular reactivity in GC patients. β-Sitosterol may improve peripheral microcirculation by regulating VEGFA, PTGS2, ESR1, and CASP9.
Humans ; Microcirculation/drug effects* ; Drugs, Chinese Herbal/administration & dosage* ; Stomach Neoplasms/physiopathology* ; Emulsions ; Male ; Plant Oils/administration & dosage* ; Brucea/chemistry* ; Middle Aged ; Female ; Drug Combinations ; Human Umbilical Vein Endothelial Cells/metabolism* ; Seeds/chemistry* ; Injections ; Vascular Endothelial Growth Factor A/metabolism* ; Aged ; Network Pharmacology

Objective:To observe the effect of reconstruction of Achilles insertion with Suture bridge technology after extirpation of avulsed bones block in the treatment of Beavis type Ⅲ avulsion fracture of the calcaneal tuberosity.Methods:The retrospective analysis was used. From January 2013 to January 2023, 78 patients with Beavis type Ⅲ avulsion fracture of the calcaneal tuberosity, treated in the Department 1 of Foot and Ankle and Department 2 of Foot and Ankle of the second Hospital of Tangshan were selected as research objects. According to different operation performed, 41 patients with the reconstruction of Achilles insertion with Suture bridge technology after extirpation of avulsed bones block were divided into the observation group and 37 patients with the open reduction internal fixation (ORIF) were divided into the control group. The delayed wound healing rate and the Haglund malformation rate, Maryland foot score, the American Orthopedic Foot and ankle Society (AOFAS) ankle-hindfoot score, the pain Visual Analogue Scale/Score (VAS) score, the Victorian Institute of Sports Assessment-Achilles (VISA-A) score, Arner-Lindholm scale of One-year postoperative were compared between these two groups. The measurement data with normal or approximate normal distribution were analyzed using t test, count data using chi-square test for comparison of between groups.Results:One year after surgery, the incidence of Haglund malformation in the observation group was 4.88% (2/41), which was lower than the control group's 29.73% (11/37). The difference between the two groups was statistically significant ( χ2=8.65,P=0.003). The excellent and good rate of Maryland foot function assessment in the observation group was 85.37% (35/41) higher than that in the control group (56.76% (21/37), and the difference between the two groups was statistically significant ( χ2=7.86, P=0.005). The AOFAS ankle hind foot score of the observation group ((90.44±6.66) points) was higher than that of the control group ((82.84±7.43) points), and the difference between the two groups was statistically significant ( t=4.77, P<0.001). The pain score of the observation group ((1.51±1.05) points) was lower than that of the control group ((2.95±1.13) points), and the difference between the two groups was statistically significant ( t=-5.81, P<0.001). The Achilles tendon score of the observation group ((81.05±5.87) points) was higher than that of the control group ((71.62±8.60) points), and the difference between the two groups was statistically significant ( t=5.70, P<0.001). The excellent and good rate of Arner Lindholm treatment efficacy evaluation for Achilles tendon in the observation group was 87.80% (36/41), which was higher than that in the control group (67.57% (25/37)), and the difference between the groups was statistically significant. Conclusion:The treatment of Beavis Ⅲ type calcaneal nodule avulsion fracture by removing the bone fragment can simultaneously remove the hypertrophic osteophyte, hardened bone, and Haglund deformity of the calcaneus, and clean the degenerated Achilles tendon and inflammatory tissue around the insertion point; The use of suture bridge technology to reconstruct the Achilles tendon insertion point has the advantages of high fixed strength, allowing early functional exercise, avoiding secondary removal of internal fixation, and achieving satisfactory therapeutic effects, which is worthy of clinical promotion.

Stellate ganglion block (SGB) is a specific type of peripheral nerve block in which local anesthetics and/or steroids are injected around the stellate ganglia.In the past,SGB was mainly used to alleviate pain-related syndromes.With the development of ultrasound technology,SGB has been widely used in non-analgesic fields,demonstrating significant therapeutic effects on arrhythmias,hot flashes,psychiatric disorders,cerebrovascular diseases,insomnia,and post coronavirus disease-2019 conditions in recent years.This study reviews the progress in the application of SGB in the non-analgesic fields.
Stellate Ganglion ; Humans ; Autonomic Nerve Block/methods* ; Anesthetics, Local/administration & dosage* ; COVID-19

Objective : To investigate the effects of cinnamaldehyde(CA) on the growth, metastasis and apoptosis of human endometriosis(EMs) cells and to explore whether the mechanism is related to ribosomal protein S7(RPS7) expression. Methods : Endometriosis cells were divided into control group, CA group, sh-NC group, CA+sh-RPS7 group. Effects of CA on cell growth in human endometriotic cells were determined using Cell Counting Kit-8(CCK-8) and colony formation assay. Effects of CA on cell metastasis were performed by motility assay and Transwell assay. Effects of CA on cell apoptosis were evaluated by Hoechst 33258 staining and flow cytometry. Meanwhile, the levels of PCNA, E-cadherin, Vimentin, Bax and Bcl-2 were evaluated using Western blot in human endometriotic cells with treatment CA. The expression of RPS7 was detected by qRT-PCR and Western blot assay. The RPS7 overexpression of human endometriotic cells was established by cell transfection. CA-mediated effects on cell proliferation and apoptosis were determined by CCK-8 assay and flow cytometry in human endometriotic cells with RPS7 overexpression. Results : CA repressed cell growth as well as down-regulated PCNA. The half inhibitory concentration(IC50) value was 53.60 μmol/L after 24 h treatment, and colony formation rate was 25.32%. Additionally, CA inhibited metastasis which was associated with downregulated Vimentin and upregulated E-cadherin. The relative migration rates were 35% and 29% as well as invasion rate was 40%. Further, CA induced apoptosis by cell cycle G2/M phase arrest and cell apoptosis rate was 25.1%, which related to the up-regulation of of Bax and the down-regulation of Bcl-2. CA inhibited the expression of RPS7 and overexpression of RPS7 promoted cell proliferation and suppressed apoptosis in CA-mediated cells. Conclusion CA inhibits cell growth, metastasis, and induces cell apoptosis by downregulating the expression of RPS7.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

This paper uses literature and network data to systematically sort out the theoretical and practical foundations of global public health cooperation,combines expert interviews to conduct empirical analyses,and further explores China's strategies for participating in global public health cooperation through quantitative statistics and text mining of interview data,and proposes a plan for China's participation in global public health cooperation under the current international situation.Under the countercurrents to globalization,China should take its own public health capacity building as the foundation,put global security and health equity at the core,with a philosophy of open cooperation and sustainable development,actively promote bilateral and multilateral cooperation,focus on cultivating global health talents,and enhance the effectiveness of disease prevention and control by making use of existing platforms,international mechanisms and digital health technologies,so as to help build a Global Community of Health for All.

Objective:To investigate the effects of different BMI classifications on rehabilitation outcomes and complications after total knee arthroplasty(TKA).Methods:Clinical data of 88 patients who underwent TKA in our hospital from January 2022 to June 2024 were retrospectively analyzed.According to the World Health Organization(WHO)BMI standards,patients were divided into normal weight group(18.5 ≤BMI＜24.9 kg/m2),overweight group(25.0≤BMI＜29.9 kg/m2),mild obesity group(30.0≤BMI＜34.9 kg/m2),and severe obesity group(BMI≥35.0 kg/m2).Baseline data,operation time,intraoperative blood loss,hospital stay,postoperative knee function scores,pain scores,range of motion(ROM),and incidence of complications were compared among groups.Results:With the increase of BMI,operation time was prolonged,intraoperative blood loss increased,and hospital stay extended,with statistically significant differences(P＜0.05).At 3-month and 6-month follow-ups,Knee Society Score(KSS)and Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)showed that functional recovery decreased with increasing BMI(P＜0.05).Regarding postoperative complications,the incidence of poor incision healing,infection,and deep vein thrombosis(DVT)in the obese groups was significantly higher than in the normal weight and overweight groups(P＜0.05).Conclusion:BMI is an important factor affecting rehabilitation outcomes and complications after TKA.Patients with high BMI have slower functional recovery and higher complication rates.For patients with high BMI,preoperative weight loss and individualized rehabilitation programs should be considered to improve TKA prognosis.

Objective:To investigate the effects of different BMI classifications on rehabilitation outcomes and complications after total knee arthroplasty(TKA).Methods:Clinical data of 88 patients who underwent TKA in our hospital from January 2022 to June 2024 were retrospectively analyzed.According to the World Health Organization(WHO)BMI standards,patients were divided into normal weight group(18.5 ≤BMI＜24.9 kg/m2),overweight group(25.0≤BMI＜29.9 kg/m2),mild obesity group(30.0≤BMI＜34.9 kg/m2),and severe obesity group(BMI≥35.0 kg/m2).Baseline data,operation time,intraoperative blood loss,hospital stay,postoperative knee function scores,pain scores,range of motion(ROM),and incidence of complications were compared among groups.Results:With the increase of BMI,operation time was prolonged,intraoperative blood loss increased,and hospital stay extended,with statistically significant differences(P＜0.05).At 3-month and 6-month follow-ups,Knee Society Score(KSS)and Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)showed that functional recovery decreased with increasing BMI(P＜0.05).Regarding postoperative complications,the incidence of poor incision healing,infection,and deep vein thrombosis(DVT)in the obese groups was significantly higher than in the normal weight and overweight groups(P＜0.05).Conclusion:BMI is an important factor affecting rehabilitation outcomes and complications after TKA.Patients with high BMI have slower functional recovery and higher complication rates.For patients with high BMI,preoperative weight loss and individualized rehabilitation programs should be considered to improve TKA prognosis.