ObjectiveTo observe the effect of heat-sensitive moxibustion on quality of life and immune function in non-small cell lung cancer （NSCLC） patients undergoing chemotherapy. MethodsSeventy NSCLC patients with qi deficiency and phlegm stasis syndrome were randomly divided into an intervention group and a control group， with 35 cases in each group. The control group received chemotherapy combined with routine symptomatic treatment， while the intervention group additionally received heat-sensitive moxibustion since the first day of chemotherapy. Acupoints included Dazhui （GV14）， bilateral Feishu （BL13）， Zhongwan （CV12）， Qihai （CV6）， and Guanyuan （CV4）. The site exhibiting the strongest heat-sensitization response was selected for moxibustion. Treatment was administered for 45 minutes per session， three times weekly for three consecutive weeks， totaling nine sessions. Before and after treatment， quality of life was assessed using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire （EORTC QLQ-C30）， and traditional Chinese medicine （TCM） syndrome scores were evaluated. Peripheral blood levels of natural killer （NK） cells and T-lymphocyte subsets including CD3⁺， CD4⁺， and CD8⁺， and CD4⁺/CD8⁺ ratio were measured. Levels of programmed cell death protein-1 （PD-1）， including PD-1⁺CD4⁺ and PD-1⁺CD8⁺ cells， were also assessed. Liver and renal function were monitored before and after treatment， and adverse events were recorded. ResultsIn the intervention group， 1 participant withdrew and 1 was excluded， while in the control group， 2 participants withdrew. Ultimately， 33 participants in each group were included in the final analysis. The intervention group showed significant improvements in physical， role， emotional， cognitive， and social functioning， as well as global health status after treatment， while scores for fatigue， nausea and vomiting， dyspnea， appetite loss， diarrhea， and TCM syndrome scale were significantly decreased （P＜0.05）. Moreover， the intervention group demonstrated higher scores in physical functioning， role functioning， and global health status， as well as lower scores for fatigue， nausea and vomiting， dyspnea， appetite loss， diarrhea， and the TCM syndrome scale than the control group （P＜0.05）. After treatment， the levels of peripheral NK cells and PD-1⁺CD8⁺ T cells in the intervention group increased significantly； furthermore， the intervention group exhibited higher peripheral NK cell levels and lower PD-1⁺CD8⁺ T cell levels than the control group （P＜0.05）. No significant differences were found in liver or renal function between the two groups （P＞0.05）. In addition， no adverse events such as burns or moxibustion-induced syncope occurred during the study. ConclusionHeat-sensitive moxibustion as an adjunctive therapy may enhance immune function， alleviate clinical symptoms， and improve quality of life， while demonstrating a favorable safety profile in NSCLC patients with qi deficiency and phlegm stasis.

Aim To investigate the mechanism by which Aiweixin oral liquid(AWX)alleviates myocar-dial ischemia-reperfusion injury in rats through the reg-ulation of mitochondrial fusion and fission.Methods Seventy-two healthy male Sprague-Dawley rats were randomly assigned to six groups(n=12)using a ran-dom number table:sham surgery group,model group,low-dose AWX(1 mL·kg-1)group,medium-dose AWX(2 mL·kg-1)group,high-dose AWX(4 mL·kg-1)group,and positive control drug trimetazidine(10 mg·kg-1)group.A myocardial ischemia-reper-fusion injury(MIRI)model was established by ligating the left anterior descending coronary artery of the rat heart,followed by 30 minutes of ischemia and 90 mi-nutes of reperfusion.In the sham surgery group,only a suture was placed without ligation.The rats in the treatment groups were pre-gavaged with AWX starting 10 days prior to the modeling procedure.Lead Ⅱ elec-trocardiograms were recorded before and after reperfu-sion in each group to observe the changes in electrocar-diographic parameters.The myocardial infarct size in each group was assessed using TTC staining.The his-topathological changes in myocardial tissue were exam-ined under a light microscope using hematoxylin and eosin(HE)staining.The serum levels of adenosine triphosphate(ATP)and cardiac troponin I(cTnI)were measured using enzyme-linked immunosorbent as-say(ELISA).Superoxide dismutase(SOD)activity and the levels of malondialdehyde(MDA)and lactate dehydrogenase(LDH)were determined using bio-chemical assay kits.The protein expression levels of dynamin-related protein 1(dynamin-relatedprotein 1,DRP1),mitochondrial fission factor(mitochondrial fis-sion factor,MFF),mitochondrial fission protein 1(mi-tochondrial fission protein 1,FIS1),mitofusin 1(mito-fusion-1,MFN1),and mitofusin 2(mitofusion-2,MFN2)were evaluated by Western blot analysis.Re-sults Compared with the sham group,the model group exhibited aggravated myocardial tissue pathological damage,an increased percentage of myocardial infarct size,decreased serum SOD activity and ATP levels,and significantly elevated levels of MDA,cTnI,and LDH activity.Additionally,the protein expression of mito-chondrial fission factors DRP1,MFF,and FIS1 was up-regulated,while the expression of fusion-related factors MFN1 and MFN2 was downregulated.Compared with the model group,Aiweixin oral liquid significantly alle-viated myocardial injury,reduced the percentage of my-ocardial infarct size,increased serum SOD activity and ATP levels,decreased MDA content and cTnI and LDH activity,downregulated the protein expression of mito-chondrial fission factors DRP1,MFF,and FIS1,and up-regulated the protein expression of fusion-related factors MFN1 and MFN2.Conclusion Aiweixin oral liquid alleviates myocardial ischemia-reperfusion injury in rats by regulating abnormal mitochondrial fusion and fis-sion.

Objective To observe the effects of electroacupuncture(EA)on TGF-β1/Smads signaling pathway and epithelial-mesenchymal transition(EMT)related proteins in rats with neurogenic bladder(NB)after spinal cord injury;To explore the possible mechanism of EA in improving NB fibrosis.Methods Totally 36 female SD rats were randomly selected,with 10 rats in the sham-operation group and the remaining 26 rats undergoing complete transection of the spinal cord beneath the T8 vertebrae to establish a NB rat model.The modeling rats were randomly divided into model group and EA group,with 10 rats in each group.EA group was applied to"Ciliao","Zhongji"and"Sanyinjiao",20 min per time,once a day for 7 days.The general condition of the rats in each group was observed,the ultrasound index of the bladder was detected by ultrasound technique,the bladder function of the rats was detected by urodynamics,the body mass of the rats and the wet weight of the bladder were recorded,and the bladder index was calculated.HE staining was used to observe bladder tissue morphology,the degree of bladder tissue fibrosis and bladder wall thickness were detected by Masson staining.The positive expressions of E-cadherin,N-cadherin and Vimentin in bladder tissue were detected by immunohistochemistry.The protein expressions of TGF-β1,p-Smad2/3,E-cadherin,N-cadherin and Vimentin were detected by Western blot.Results Compared with the sham-operation group,the upper and lower diameter,anteroposterior diameter,transverse diameter,bladder volume of the model group significantly increased(P<0.001),the maximum bladder pressure,leak point pressure difference,perfusion time and maximum bladder capacity significantly increased(P<0.001),the bladder index increased significantly(P<0.001),the bladder epithelial cells were thickened and arranged irregularly,the bladder collagen volume fraction and bladder wall thickness significantly increased(P<0.001),the expressions of TGF-β1,p-Smad2/3,N-cadherin and Vimentin in bladder tissue increased(P<0.01),and the expression of E-cadherin decreased(P<0.001).Compared with the model group,the upper and lower diameter,anteroposterior diameter,transverse diameter,bladder volume of the EA group decreased significantly(P<0.05),the maximum bladder pressure,leak point pressure difference,perfusion time and maximum bladder capacity significantly decreased(P<0.05),the bladder index significantly decreased(P<0.05),the thickness of the bladder epithelial cell layer became thinner and arranged more neatly,and the bladder collagen volume fraction and bladder wall thickness of the bladder were significantly reduced(P<0.05),the expressions of TGF-β1,p-Smad2/3,N-cadherin and Vimentin in bladder tissue significantly decreased(P<0.05),and the expression of E-cadherin significantly increased(P<0.05).Conclusion EA may reduce the EMT of bladder epithelial cells and decrease the degree of bladder tissue fibrosis by inhibiting the activation of the TGF-β1/Smads signaling pathway,thereby improving bladder function in NB rats after spinal cord injury.

Health behavior motivation significantly affects the quality of life of patients with cardiovascular diseases.Assessing the level of health behavior motivation can measure the health behavior of individuals,help to promote the participation rate of cardiac rehabilitation,reduce the readmission rate of patients,and promote patients'healthy lifestyles.This article reviews the content,characteristics and application of assessment tools for health behavior motivation of patients with cardiovascular diseases at home and abroad,with the aim of providing references for the development and application of such tools in China,and offering a basis for scientifically assessing their health behavior motivation level and formulating effective strategies to promote health behavior motivation.

The number of patients with chronic diseases in China has been increasing year by year,followed by the increase of treatment burden.It is particularly important to effectively evaluate the treatment burden of patients with chronic diseases.This paper reviews the main contents,application scope,advantages and disadvantages of the assessment tools for the treatment burden of patients with chronic diseases at home and abroad,so as to provide references and basis for medical staff to reasonably select assessment tools and conduct relevant clinical research.

Aim To investigate the mechanism by which Aiweixin oral liquid(AWX)alleviates myocar-dial ischemia-reperfusion injury in rats through the reg-ulation of mitochondrial fusion and fission.Methods Seventy-two healthy male Sprague-Dawley rats were randomly assigned to six groups(n=12)using a ran-dom number table:sham surgery group,model group,low-dose AWX(1 mL·kg-1)group,medium-dose AWX(2 mL·kg-1)group,high-dose AWX(4 mL·kg-1)group,and positive control drug trimetazidine(10 mg·kg-1)group.A myocardial ischemia-reper-fusion injury(MIRI)model was established by ligating the left anterior descending coronary artery of the rat heart,followed by 30 minutes of ischemia and 90 mi-nutes of reperfusion.In the sham surgery group,only a suture was placed without ligation.The rats in the treatment groups were pre-gavaged with AWX starting 10 days prior to the modeling procedure.Lead Ⅱ elec-trocardiograms were recorded before and after reperfu-sion in each group to observe the changes in electrocar-diographic parameters.The myocardial infarct size in each group was assessed using TTC staining.The his-topathological changes in myocardial tissue were exam-ined under a light microscope using hematoxylin and eosin(HE)staining.The serum levels of adenosine triphosphate(ATP)and cardiac troponin I(cTnI)were measured using enzyme-linked immunosorbent as-say(ELISA).Superoxide dismutase(SOD)activity and the levels of malondialdehyde(MDA)and lactate dehydrogenase(LDH)were determined using bio-chemical assay kits.The protein expression levels of dynamin-related protein 1(dynamin-relatedprotein 1,DRP1),mitochondrial fission factor(mitochondrial fis-sion factor,MFF),mitochondrial fission protein 1(mi-tochondrial fission protein 1,FIS1),mitofusin 1(mito-fusion-1,MFN1),and mitofusin 2(mitofusion-2,MFN2)were evaluated by Western blot analysis.Re-sults Compared with the sham group,the model group exhibited aggravated myocardial tissue pathological damage,an increased percentage of myocardial infarct size,decreased serum SOD activity and ATP levels,and significantly elevated levels of MDA,cTnI,and LDH activity.Additionally,the protein expression of mito-chondrial fission factors DRP1,MFF,and FIS1 was up-regulated,while the expression of fusion-related factors MFN1 and MFN2 was downregulated.Compared with the model group,Aiweixin oral liquid significantly alle-viated myocardial injury,reduced the percentage of my-ocardial infarct size,increased serum SOD activity and ATP levels,decreased MDA content and cTnI and LDH activity,downregulated the protein expression of mito-chondrial fission factors DRP1,MFF,and FIS1,and up-regulated the protein expression of fusion-related factors MFN1 and MFN2.Conclusion Aiweixin oral liquid alleviates myocardial ischemia-reperfusion injury in rats by regulating abnormal mitochondrial fusion and fis-sion.

The selection of an appropriate control group is a critical component of pharmacoepidemiologic research.This article provides an interpretation of the control selection methods outlined in the Guide on Methodological Standards in Pharmacoepidemiology in China(2nd edition).According to the 2nd edition,studies are categorized into interventional and non-interventional research.In interventional research,control group options include placebo controls,no-treatment controls,active controls,and dose-response controls.For non-interventional research,the gold standard design is the active comparator new user(ACNU)design.When the ACNU design is not feasible,alternative control group strategies should be selected based on the research objective,data sources,exposure characteristics,and potential confounding.These alternatives may include non-user comparators,prevalent user comparators,self-controlled comparators,and external controls.Finally,this article compares the applicability,strengths,and limitations of various control group types.It aims to provide methodological guidance for the scientific selection of control groups in pharmacoepidemiologic studies and to support the conduct of high-quality research.

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Extraintestinal manifestations (EIM) of inflammatory bowel disease (IBD) may affect multiple organ systems, with approximately 50% of IBD patients presenting with at least one EIM during the course of their disease, with cutaneous involvement being particularly common. Cutaneous manifestations can present in various forms. This paper reports a case of ulcerative colitis (UC) complicated with bullous pemphigoid (BP), aiming to enhance clinicians' awareness of skin lesions associated with UC.

Objective:To investigate the prognostic factors for esophageal cancer after radical resection and the application value of machine learning prediction model.Methods:The retrospective cohort study was conducted. The clinicopatholigical data of 406 esophageal cancer patients who were admitted to Qilu Hospital of Shandong University from January 2018 to March 2022 were collected. There were 357 males and 49 females, aged (64±8)years. All patients underwent radical resection of esophageal cancer. The 406 patients were randomly divided into a training set of 285 cases and a validation set of 121 cases at a 7∶3 ratio based on a random number table. The training set was used to construct prediction model, and the validation set was used to validate prediction model. Patients were divided into high-risk group and low-risk group based on risk scores. Observation indicators: (1) follow-up of patients and analysis of influencing factors for prognosis; (2) construction and validation of machine learning prediction models. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the Log-rank test was used for survival analysis. The Cox proportional hazard regression model was used for univariate and multivariate analyses. Independent influencing factors were included, and data processing, machine learning model construction, and visualization were performed using R packages including random survival forest (RSF), gradient boosting machine (GBM), least absolute shrinkage and selection operator Cox regression (LASSO-Cox), Cox proportional hazards model boosting (CoxBoost), survival support vector machine (survivalsvm), extreme gradient boosting (XGBoost), supervised principal component analysis (SuperPC), and Cox partial least squares regression (plsRcox). Receiver operating characteristic (ROC) curves were drawn, and sensitivity, specificity, and area under the curve (AUC) were calculated. The Delong test was used to assess the differences in AUC among different models in the training set, and the time-dependent ROC was used to compare the predictive performance of different models. Calibration curves were used to evaluate model accuracy, and decision curve analysis (DCA) was used to evaluate overall net benefit. Results:(1) Follow-up of patients and analysis of influencing factors for prognosis. All 406 patients were followed up postoperatively for 28(range, 6-36)months, with 1- and 3-year overall survival rate of 86.5% and 40.9%, respectively. The 285 patients in the training set were followed up postoperatively for 30(range, 6-36)months, with 1- and 3-year overall survival rate of 85.1% and 35.5%, respectively. The 121 patients in the validation set were followed up postoperatively for 25(range, 6-36)months, with 1- and 3-year overall survival rate of 87.0% and 43.2%, respectively. There was no significant difference in postoperative overall survival rate between the training set and the validation set ( χ2=3.20, P>0.05). Results of multivariate analysis showed that left thoracic surgical approach, preopera-tive neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia were independent risk factors affecting postoperative survival of 285 patients in the training set ( hazard ratio=1.466, 1.037, 1.482, 1.549, 5.268, 7.727, 22.202, 2.539, 2.686, 1.425, 95% confidence interval as 1.026-2.096, 1.003-1.073, 1.008-2.179, 1.105-2.170, 1.201-23.099, 1.833-32.576, 4.734-104.128, 1.577-4.087, 1.631-4.422, 1.018-1.994, P<0.05). (2) Construction and validation of machine learning prediction models. Independent risk factors affecting postoperative survival were included to construct RSF, GBM, LASSO-Cox, CoxBoost, survivalsvm, XGBoost, SuperPC, and plsRcox machine learning prediction models. Results of Delong test showed that there were significant differences in the AUC of RSF and GBM from the other six models ( P<0.05). Results of time-dependent ROC curve showed that all 8 machine learning predic-tion models had good discriminative ability in the training cohort, among which the RSF machine learning prediction model had the best predictive performance. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postoperative 1-, 2-, and 3-year overall survival in the training cohort, with high consistency with actual results. Results of decision curve analysis showed that within a threshold range of 0-0.80, the RSF machine learning prediction model provided a better overall net benefit. Further analysis showed that in the validation set, the AUC of RSF machine learning prediction model for postoperative 1-, 2-, and 3-year survival prediction were 0.786 (95% confidence interval as 0.609-0.962), 0.774 (95% confidence interval as 0.676-0.873), and 0.750 (95% confidence interval as 0.652-0.848), respectively. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postopera-tive 1-, 2-, and 3-year overall survival in the validation set, with high consistency with actual results. In the training set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score <11.7 as the low-risk group. The median survival times of the two groups were 18.0 months and >36.0 months, respectively, showing a significant difference between them ( χ2=73.30, P<0.05). In the validation set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score<11.7 as the low-risk group. The median survival times of the two groups were 17.0 months and>36.0 months for the high-risk and low-risk groups, respectively, showing a significant difference between them ( χ2=35.20, P<0.05). Conclusions:Left thoracic surgical approach, preoperative neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia are independent risk factors affecting survival of esophageal cancer patients after radical resection. The RSF machine learning prediction model constructed based on these factors can effectively distinguish the survival prognosis of high-risk and low-risk patients.