Objective:To investigate the impact of fibroblast growth factor(FGF)on recurrence following segmen-tal mastectomy in patients with plasma cell mastitis.Methods:A total of 162 female patients diagnosed with plasma cell mastitis(PCM)were selected from our hospital from October 2021 to May 2023.All patients underwent segmental mastectomy.They were divided into recurrence group(n=28)and non-recurrence group(n=134)according to the follow-up survey on recurrence.Conduct a univariate analysis on the factors influencing recurrence in patients with PCM who undergo segmental mastectomy.After correcting for confounding factors,conduct a multiple linear regression analysis.Using a multivariate logistic regression model to explore the independent risk factors for recurrence in patients undergo-ing segmental mastectomy for PCM.Utilizing logistic regression analysis to explore the independent,multiplicative,or additive interaction between FGF and angiogenic factor in the management of recurrence in PCM patients undergoing segmental mastectomy.The Local Weighted Regression Scatter Method(LOWESS)is used to analyze the two-dimensional curve relationship of continuous variables.Evaluate the predictive efficacy of FGF for PCM recurrence fol-lowing segmental mastectomy using Receiver Operating Characteristic(ROC)curves.Results:The results of univariate analysis showed that the body mass index(BMI),estradiol,prolactin levels,nipple depression,and sinus phase propor-tion of patients in the recurrent group were significantly higher than those in the non recurrent group,and the differ-ences were statistically significant(P＜0.05).Before surgery and 1 and 3 months after surgery,the levels of FGF,vascu-lar endothelial growth factor(VEGF),endostatin(ES),and VEGF/ES in the recurrent group were higher than those in the non recurrent group,with statistically significant differences between the groups(P＜0.05).The intra group comparison results showed that compared with before surgery,all indicators in both groups of patients were significantly reduced at 1 month after surgery(P＜0.05),while in the recurrent group,all indicators were significantly increased at 3 months after surgery(P＜0.001).Logistic regression analysis showed that patients with elevated FGF had a higher risk of recurrence in PCM(P＜0.05).LOWESS analysis found that there is a certain non-linear relationship between PCM recurrence rate and FGF.FGF has good predictive performance for PCM recurrence.After further adjusting for various confounding fac-tors such as BMI,it was found that the angiogenic factor is related to FGF.The interaction results show that there is an additive or multiplicative interaction between FGF and VEGF/ES.Conclusion:FGF elevation increases the risk of re-currence after segmental mastectomy for PCM.FGF and VEGF/ES exhibit additive or multiplicative interactions.FGF has good predictive performance for PCM recurrence.

Objective To investigate the mechanism of action of circ-0058063 regulating ERK/MAPK signaling pathway on ferroptosis in esophageal cancer cells.Methods EC9706 cells were randomly divided into the Control group,the si-NC group,the si-circ-0058063 group,and the si-circ-0058063+ISO group.qRT-PCR was used to detect the expression of circ-0058063 in esophageal cancer tissues and cells;CCK-8 and clone formation assay were used to detect the cell proliferation ability.The levels of Fe2+,malondialdehyde(MDA),glutathione(GSH),and reactive oxygen species(ROS)in cells were detected.Western blot was used to detect the ERK/MAPK signaling pathway and the expression of ferroptosis-related protein in cells.Results The expression level of circ-0058063 in esophageal cancer tissue was significantly higher than that in adjacent tissues(P<0.05);the expression level of circ-0058063 in human esophageal cancer cell EC9706 was significantly higher than that in human normal esophageal epithelial cell HEEC(P<0.05).Compared with the Control group,the expression level of circ-0058063 in cells,cell survival rate,number of cloned cells,GSH level,ratios of p-ERK1/2/ERK1/2 and p-p38MAPK/p38MAPK,as well as the expression levels of SLC7A11 and GPX4 protein in the si-circ-0058063 group were significantly reduced(P<0.05),while the levels of Fe2+,MDA,and ROS in cells were significantly increased(P<0.05).Compared with the si-circ-0058063 group,the expression level of circ-0058063 in cells,cell survival rate,number of cloned cells,GSH level,ratios of p-ERK1/2/ERK1/2 and p-p38MAPK/p38MAPK,as well as the expression levels of SLC7A11 and GPX4 protein in the si-circ-0058063+ISO group were significantly increased(P<0.05),while the levels of Fe2+,MDA,and ROS in cells were significantly decreased(P<0.05).Conclusion Knockdown of circ-0058063 can inhibit the proliferation of esophageal cancer cells and induce ferroptosis,and its mechanism of action may be related to the inhibition of ERK/MAPK signaling pathway activation.

Objective To investigate the mechanism of action of circ-0058063 regulating ERK/MAPK signaling pathway on ferroptosis in esophageal cancer cells.Methods EC9706 cells were randomly divided into the Control group,the si-NC group,the si-circ-0058063 group,and the si-circ-0058063+ISO group.qRT-PCR was used to detect the expression of circ-0058063 in esophageal cancer tissues and cells;CCK-8 and clone formation assay were used to detect the cell proliferation ability.The levels of Fe2+,malondialdehyde(MDA),glutathione(GSH),and reactive oxygen species(ROS)in cells were detected.Western blot was used to detect the ERK/MAPK signaling pathway and the expression of ferroptosis-related protein in cells.Results The expression level of circ-0058063 in esophageal cancer tissue was significantly higher than that in adjacent tissues(P<0.05);the expression level of circ-0058063 in human esophageal cancer cell EC9706 was significantly higher than that in human normal esophageal epithelial cell HEEC(P<0.05).Compared with the Control group,the expression level of circ-0058063 in cells,cell survival rate,number of cloned cells,GSH level,ratios of p-ERK1/2/ERK1/2 and p-p38MAPK/p38MAPK,as well as the expression levels of SLC7A11 and GPX4 protein in the si-circ-0058063 group were significantly reduced(P<0.05),while the levels of Fe2+,MDA,and ROS in cells were significantly increased(P<0.05).Compared with the si-circ-0058063 group,the expression level of circ-0058063 in cells,cell survival rate,number of cloned cells,GSH level,ratios of p-ERK1/2/ERK1/2 and p-p38MAPK/p38MAPK,as well as the expression levels of SLC7A11 and GPX4 protein in the si-circ-0058063+ISO group were significantly increased(P<0.05),while the levels of Fe2+,MDA,and ROS in cells were significantly decreased(P<0.05).Conclusion Knockdown of circ-0058063 can inhibit the proliferation of esophageal cancer cells and induce ferroptosis,and its mechanism of action may be related to the inhibition of ERK/MAPK signaling pathway activation.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective:To investigate the rehabilitation effect of aerobic exercise combined with discharge rehabilita-tion guidance in patients with coronary heart disease(CHD).Methods:This randomized controlled study enrolled 225 CHD patients admitted in Huai'an First People's Hospital between June 2020 and June 2023.Patients were ran-domly divided into control group(n=112)and intervention group(n=113).Patients in the control group received discharge rehabilitation guidance intervention,while those in the intervention group received additional aerobic ex-ercise training.After 6-month intervention,cardiac function,pulmonary function,vascular endothelial function indexes,quality of life,exercise treadmill scores,walking distance and patient satisfaction with rehabilitation effect were compared between the two groups.Results:Compared to those in the control group after intervention,patients in the intervention group had significantly higher left ventricular ejection fraction(LVEF)[(69.82±7.92)％vs.(63.34±6.88)％],stroke volume(SV)[(74.74±8.09)ml vs.(68.03±7.70)ml],cardiac output(CO)[(4.85±0.82)L/min vs.(4.18±0.73)L/min],cardiac index(CI)[(3.05±0.64)L·min-1·m-2 vs.(2.42±0.59)L·min-1·m-2],forced vital capacity(FVC)[(2.88±0.59)L vs.(2.37±0.56)L],maximum oxygen uptake(VO2max)[(23.23±4.08)ml·kg-1·min-1 vs.(19.79±3.86)ml·kg-1·min-1],anaerobic threshold(AT)[(21.10±4.18)ml·kg-1·min-1 vs.(17.21±3.90)ml·kg-1·min-1],nitric oxide(NO)[(33.10±5.18)mg/L vs.(27.21±5.90)mg/L],scores of General Quality of Life Inventory 74(GQOLI-74)[(85.43±8.19)points vs.(79.67±7.86)points],Duke treadmill score(DTS)[(9.08±2.03)points vs.(7.14±1.78)points],6-min walking distance(6MWD)[(342.14±36.24)m vs.(317.21±34.90)m](P＜0.001 all),and significantly lower levels of von Willebrand factor(vWF)[(23.43±4.39)ng/L vs.(29.37±4.56)ng/L]and endothelin-1(ET-1)[(47.12±5.28)pg/ml vs.(52.79±5.96)pg/ml](P＜0.001 all).We detected significantly higher total satisfac-tion with rehabilitation effect(92.73％vs.78.18％,P=0.002)in intervention group.Conclusion:Aerobic exercise combined with discharge rehabilitation guidance had good rehabilitation effect in CHD patients.It could improve their cardiopulmonary function,vascular endothelial function,and prognosis quality of life,and increase patient sat-isfaction.

The development of artificial intelligence(AI)technology has provided new avenues for the public to access health information.While both domestic and international research and practical applications of health conversational AI have emerged,there remains a lack of consensus on the key issues surrounding their development.Based on a comprehensive review of domestic and international literature and multiple rounds of expert consultations,the study focuses on six issues:the definition,characteristics,application scenarios,evaluation elements,evaluation methods,as well as prospects and challenges of AI-driven health consultation systems,and develops the practice guideline for health conversational artificial intelligence.The findings aim to provide scientific reference for promoting the innovative application of AI technology in the healthcare field.

The development of artificial intelligence(AI)technology has provided new avenues for the public to access health information.While both domestic and international research and practical applications of health conversational AI have emerged,there remains a lack of consensus on the key issues surrounding their development.Based on a comprehensive review of domestic and international literature and multiple rounds of expert consultations,the study focuses on six issues:the definition,characteristics,application scenarios,evaluation elements,evaluation methods,as well as prospects and challenges of AI-driven health consultation systems,and develops the practice guideline for health conversational artificial intelligence.The findings aim to provide scientific reference for promoting the innovative application of AI technology in the healthcare field.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Basket trial, as an innovative clinical trial design concept, marks the transformation of medical research from the traditional large-scale and single-disease treatment to the precise and individualized treatment. By gradually incorporating the Bayesian method during development, the trial design becomes more scientific and reasonable and increases its efficiency. The fundamental principle of the Bayesian method is the utilization of prior knowledge in conjunction with new observational data to dynamically update the posterior probability. This flexibility enhances the basket trial's capacity to effectively adapt to variations during the research process. Consequently, it enables researchers to dynamically adjust research strategies based on accumulated data and improve the predictive accuracy regarding treatment responses. In addition, the design concept of the basket trial aligns with the traditional Chinese medicine(TCM) principle of "homotherapy for heteropathy". The principle of "homotherapy for heteropathy" emphasizes that under certain conditions, different diseases may have the same treatment. Similarly, basket trials allow using a uniform trial design across multiple diseases, offering enhanced operational and significant practical value in the realm of TCM, particularly within the context of syndrome-based disease research. By introducing basket trials, the design of TCM clinical studies will be more scientific and yield higher-quality evidence. This study systematically categorized various Bayesian methods and models utilized in basket trials, evaluated their strengths and weaknesses, and identified their appropriate application contexts, so as to offer a practical guide for designing basket trials in the realm of TCM.
Bayes Theorem ; Humans ; Medicine, Chinese Traditional/methods* ; Research Design ; Clinical Trials as Topic/methods* ; Drugs, Chinese Herbal/therapeutic use*

Surface plasmon resonance （SPR） sensor is an optical detection technique enables real-time and dynamic monitoring of biological samples. SPR-based biosensors have remarkable characteristics such as label-free detection and high sensitivity, making them important tools for studying molecular interactions. The recognition element, which plays a critical role in SPR sensors,which could specifically identify and capture of target analytes, closely influencing the selectivity performance of the sensor. The progress on SPR sensors in pharmaceutical research were reviewed, which focused on the application of recognition elements such as antibodies, aptamers, molecularly imprinted polymers, and metal nanoparticles.