ObjectiveTo investigate the effects of foliar fertilizer of nano-calcium carbonate and calcium nitrate tetrahydrate on the agronomic traits， carbohydrate and endogenous hormone contents of Dendrobium officinale planted for 1 year under greenhouse cultivation， in order to provide scientific basis for fertilization to improve the yield and quality of D. officinale. MethodsSingle-factor experimental design was adopted. Starting from early spring， D. officinale was treated with foliar spraying according to corresponding fertilizers. Three treatment groups were established based on different fertilizers， namely， a blank group（clear water）， a nano-calcium carbonate group（0.727 g·L^-1 nano-calcium carbonate water-soluble fertilizer）， and a calcium nitrate tetrahydrate group（1.091 g·L^-1 calcium nitrate tetrahydrate water-soluble fertilizer）. The frequency of spraying was three times per month， and the entire treatment process lasted for nine months. The effects of various treatments on the traits and relative chlorophyll content of D. officinale were dynamically monitored. Sampling was conducted at three specific time points：August 2， 2023， September 8， 2023， and November 1， 2023， respectively. The contents of glucose and mannose in D. officinale stems were determined by high performance liquid chromatography（HPLC）， the content of soluble sugars in D. officinale stems and leaves was determined by phenol method， and enzyme-linked immunosorbent assay（ELISA） was used to detect the concentrations of cytokinin and auxin. ResultsCompared with the blank group， the treatments with nano-calcium carbonate and calcium nitrate tetrahydrate could significantly increase stem length， stem node number， leaf number， and tiller number. Among them， during the harvesting period in November， the stem length and tiller number， which are indicators related to the yield of D. officinale， increased by 60.85% and 19.23% after treatment with calcium nitrate tetrahydrate， and by 32.54% and 28.85% after treatment with nano-calcium carbonate， respectively. Compared with the blank group， treatments with nano-calcium carbonate and calcium nitrate tetrahydrate could promote the accumulation of sucrose in the stems and leaves of D. officinale to varying degrees， as well as the accumulation of polysaccharides， mannose， and glucose in the stems. In addition， nano-calcium carbonate treatment also facilitated the accumulation of fructose in the stems and leaves of D. officinale. Specifically， during the harvesting period in November， polysaccharides and mannose， which were the main active ingredients in D. officinale stems， increased by 28.48% and 29.36% after treatment with calcium nitrate tetrahydrate， and by 39.91% and 82.62% after treatment with nano-calcium carbonate， respectively. In addition， compared with the blank group， the concentrations of auxin in the stems and leaves of D. officinale were significantly increased after treatment with calcium nitrate tetrahydrate（P<0.05）. Similarly， the concentrations of cytokinin and auxin in the stems of D. officinale were also elevated after treatment with nano-calcium carbonate. Correlation analysis further indicated that elongation growth and tillering of D. officinale stems after foliar spraying of nano-calcium carbonate and calcium nitrate tetrahydrate might be related to the accumulation of carbohydrates in the stems and leaves and the synergistic effect of auxin and cytokinin. ConclusionIn production practice， spraying nano-calcium carbonate and calcium nitrate tetrahydrate can promote the accumulation of cytokinin， auxin， and carbohydrate contents in the stems and leaves of D. officinale， and promote tillering and elongation growth of the stems.

Objective: To explore the influencing factors of recurrence in postoperative patients with renal cell carcinoma，construct machine learning prediction models and evaluate their performance. Methods: Clinical data of 915 patients with renal cell carcinoma treated in our hospital during 2013 and 2021 were retrospectively collected.The data were randomly divided into a training set (n=510) and a validation set (n=218) in a 7∶3 ratio.In the training set，LASSO regression algorithm was used to screen important variables，and machine learning prediction models were constructed to predict the recurrence risk.In the validation set，the effectiveness of the models was compared combined with the area under receiver operating characteristic curve (AUC)，accuracy rate，F1 value and other indicators. Results: LASSO regression screened out the risk factors，including smoking history，tumor size，N stage，Fuhrman grade，thrombin time and fibrinogen，based on which，the logistic model，decision tree model，random forest model，and Bayes model were constructed.In the validation set，the AUC of the above 4 models was 0.862，0.792，0.843 and 0.861，respectively; the accuracy was 0.917，0.908，0.904 and 0.927，respectively; F1 value was 0.357，0.286，0.323 and 0.600，respectively.The Bayes model had the most stable performance and best differentiation. Conclusion: In this data set，the prediction model based on Bayes algorithm has a good performance and can provide reference for clinical decision making.

Objective To explore the medication rules of Professor ZHONG Guang-Ling's prescriptions for the treatment of lumbar disc herniation(LDH)based on data mining method,so as to provide reference for the treatment of LDH with Chinese medicine.Methods The prescriptions for the effective cases of outpatients of LDH treated by Professor ZHONG Guang-Ling in the recent 5 years were collected.The medication frequency of Chinese medicines in the included prescriptions and the distribution of their properties,flavors and meridian tropism were investigated.Moreover,the association rule analysis and cluster analysis of the high-frequency drugs were carried out.Results A total of 164 prescriptions were included and 168 Chinese medicines were used.The top 10 high-frequency drugs in descending order were Achyranthis Bidentatae Radix,Chuanxiong Rhizoma,Pheretima,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Gentianae Macrophyllae Radix,Angelicae Sinensis Radix,Rehmanniae Radix Praeparata,Persicae Semen,Cyperi Rhizoma,and Carthami Flos.The properties of the prescribed drug were mainly warm and mild in nature,and bitter and pungent in flavor,and mainly had the meridian tropism of the liver,kidney and spleen meridians.According to the therapeutic actions,the drugs were mainly categorized as deficiency-supplementing drugs,dampness-removing and collateral-unblocking drugs,and blood-activating and stasis-removing drugs.The results of association rule analysis yielded 10 drug pairs,and cluster analysis yielded 6 core drug combinations.Conclusion For the treatment of LDH,Professor ZHONG Guang-Ling usually adopts the Chinese medicine for supplementing the deficiency and supporting healthy-qi,together with the medicines for nourishing the liver and kidney and regulating the spleen and stomach from the perspective of liver,kidney and spleen.Moreover,therapy of activating blood and removing stasis is also stressed,pathogen-eliminating medicines for removing dampness,unblocking collaterals and clearing heat are used based on syndrome differentiation,and then simultaneous application of purging and nourishing therapeutics is achieved through the utilization of purging method after supplementing method.

Objective:To explore the evaluation of 256 slice spiral computed tomography angiography(CTA)of coronary,serum lipoprotein associated phospholipase A2(Lp-PLA2)and angiopoietin like protein 3(ANGPTL3)on the severity of coronary artery stenosis of patients with coronary heart disease.Methods:A total of 102 patients with coronary heart disease who were diagnosed and treated at Hebei Chest Hospital from July 2022 to March 2023 were selected as the study subjects.According to the Gensini score about the severity of coronary artery stenosis,they were divided into mild stenosis group(0 score≤Gensini score≤20 scores),moderate stenosis group(20 scores60 scores),with 34 cases in each group.The minimum lumen diameter(MLD),percentage of area of stenosis(%AS),percentage of diameter of stenosis(%DS),minimum lumen area(MLA),Lp-PLA2 and ANGPTL3 among three groups were compared.The diagnostic efficiency of the severity of coronary artery stenosis was predicted according to receiver operating characteristic(ROC)curve.Results:The MLA and MLD values in severe stenosis group were significantly lower than those in moderate and mild stenosis groups,while%AS and%DS were significantly higher than those in moderate and mild stenosis groups(t=6.905,4.083,5.871,6.976,3.387,2.198,2.668,3.505,P<0.05),respectively.The Lp-PLA2 and ANGPTL3 values in severe stenosis group were significantly higher than those in moderate and mild stenosis groups(t=4.164,8.220,2.575,3.050,P<0.05),respectively.ROC curve analysis showed that the area under curve(AUC)values of MLA,MLD,%AS,%DS,CCTA comprehensive parameter,LpPLA2 and ANGPTL3 were respectively were 0.838,0.690,0.742,0.801,0.904,0.808 and 0.807 in predicting the severity of coronary artery stenosis.The sensitivities of them were respectively 91.20%,91.20%,64.70%,94.10%,97.10%,70.60%and 88.20%.The specificities of them were respectively 76.50%,57.40%,75.00%,50.00%,70.60%,97.10%and 70.60%.The AUC value of CCTA comprehensive parameter was respectively higher than that of LpPLA2 and ANGPTL3,but the difference was not statistically significant(P>0.05).Conclusion:256 slice spiral CCTA,serum Lp-PLA2 and ANGPTL3 have a certain efficiency in assessing the severity of coronary artery stenosis of coronary heart disease,and 256 slice spiral CCTA has higher predictive efficiency.

OBJECTIVE To investigate the preferences of patients who underwent solid organ transplantation regarding therapeutic drug monitoring （TDM） of mycophenolic acid （MPA） and explore the factors influencing patients’ decision-making process， so as to provide support for the development of individualized medication guidelines for MPA and improvement of clinical decision-making. METHODS The cross-sectional study was used to design the questionnaire on the patients’ preferences to accept MPA TDM， and involved patients who underwent solid organ transplantation and received MPA treatment at two tertiary hospitals in Beijing from April 14， 2022， to June 27， 2022. The Likert 5-level scoring method was used to score the patients’ preferences to accept MPA TDM， the influencing factors and their correlation of the patients’ preferences to accept MPA TDM were analyzed by Pearson correlation analysis and binary Logistic regression analysis， and the nonparametric test and chi-square test were used to rank and analyze the consistency of the factors affecting patients’ preference decision. RESULTS A total of 140 questionnaires were collected， and the effective recovery rate was 77.35%. The average preference score of 140 patients to receive MPA TDM was （4.01±0.65）， and the overall preference value was high. There were 116 （82.86%） patients agreed or strongly agreed with MPA TDM. Significant differences were observed in preference scores between patients who had previously undergone MPA TDM and those who had never undergone it （[ 4.30±0.53） scores vs. （3.80±0.65） scores， P＜0.001]. Additionally， patients’ preference scores were significantly influenced by their understanding level and attention level （P＜0.001）. The ranking of factors contributing to decision-making exhibited consistency （P＜0.001）. The factors were ranked in descending order of clinical efficacy， safety， comfortability， economy and time cost. CONCLUSIONS The patients who underwent solid organ transplantation hold high preferences towards MPA TDM. The primary factors influencing their decisions are their prior experience， understanding level， and attention level.

The overall health condition of patients significantly affects the diagnosis,treatment,and prognosis of endodontic diseases.A systemic consideration of the patient's overall health along with oral conditions holds the utmost importance in determining the necessity and feasibility of endodontic therapy,as well as selecting appropriate therapeutic approaches.This expert consensus is a collaborative effort by specialists from endodontics and clinical physicians across the nation based on the current clinical evidence,aiming to provide general guidance on clinical procedures,improve patient safety and enhance clinical outcomes of endodontic therapy in patients with compromised overall health.

Objective To analyze the co-expressed genes in blood lipid metabolism,hyperlipidemia and tacrolimus metabolism and their correlation with blood lipid levels in kidney transplant recipients.Methods Co-expressed genes were screened from Comparative Toxicogenomic Database(CTD).Baseline data of 25 kidney transplant recipients were collected.The expression levels of ATP binding cassette subfamily A member 1(ABCA1),peroxisome proliferator activated receptor γ(PPAR-γ)and glycosylphosphatidylinositol anchored high density lipoprotein binding protein 1(GPIHBP1)were measured.All recipients were followed up.The concentrations of fasting blood glucose,glycosylated hemoglobin,triglyceride,total protein,albumin,globulin,cholesterol,high-density lipoprotein,low-density lipoprotein and tacrolimus blood concentration were collected at postoperative 1,3,6 and 12 months,and the incidence of hyperlipidemia in the recipients was analyzed.The correlation between ABCA1,GPIHBP1,PPAR-γ and clinical indexes was assessed.The diagnostic effiiciency of related indexes for hyperlipidemia after kidney transplantation was evaluated.Results Three co-expressed genes including ABCA1,PPAR-γ and GPIHBP1 were screened.ABC Al was positively correlated with cholesterol level at postoperative 6 months and tacrolimus blood concentration at postoperative 3 months,whereas negatively correlated with fasting blood glucose level at postoperative 3 months(all P＜0.05).GPIHBP1 was negatively correlated with preoperative cholesterol and triglyceride levels,whereas positively correlated with tacrolimus blood concentration at postoperative 3 months(all P＜0.05).PPAR-γ was negatively correlated with preoperative globulin and low-density lipoprotein levels(both P＜0.05).ABCA1,GPIHBP1 and PPAR-γ combined with preoperative globulin and blood glucose level at postoperative 1 and 6 months after operation yielded high diagnostic effiiciency for hypertriglyceridemia after kidney transplantation(AUC=0.900).ABCA1,GPIHBP1 and PPAR-γ combined with tacrolimus blood concentrations at postoperative 1 and 6 months and blood glucose level at postoperative 6 months had high diagnostic effiiciency for hypercholesterolemia after kidney transplantation(AUC=0.931).Conclusions ABCA1,GPIHBP1 and PPAR-γ are correlated with blood lipid level and tacrolimus blood concentration after kidney transplantation to different degrees.No definite evidence has been supported for predicting hyperlipidemia after kidney transplantation.Immunity improvement and rational blood glucose management may be beneficial factors for hyperlipidemia control.

Objective:To analyze the impact of muscle mass reduction on the prognosis of patients and to observe the differences in prognosis among patients with different types of tumors affected by muscle mass reduction.Method:Tumor patients with available muscle mass data from the National Health and Nutrition Examination Survey,NHANES(NHANES)database(1999～2006 and 2011～2018)were selected as study subjects.Patients were divided into a muscle mass reduction group and a non-muscle mass reduction group based on differences measured by Dual-energy X-ray Absorptiometry(DXA).A Cox regression multivariate analysis was conducted to evaluate the impact of muscle mass reduction on the prognosis of tumor patients,and a subgroup analysis was performed based on different tumor locations to analyze the differences in overall survival(OS)and cancer-specific survival(CSS)associated with muscle mass reduction.Result:A total of 1 663 tumor patients were included in the study,comprising 64 with head and neck tumors,478 with skin tumors,237 with breast tumors,39 with lung tumors,138 with digestive system tumors,253 with urological system tumors,264 with gynecological tumors,64 with hematological system tumors,and 103 with tumors in other locations.There were 517 patients in the muscle mass reduction group and 1,146 in the non-muscle mass reduction group.Patients in the muscle mass reduction group showed significantly lower OS and CSS compared to the non-muscle mass reduction group(OS,HR=1.358;CSS,HR=2.109).Muscle mass reduction was significantly associated with OS in head and neck tumor patients(HR=4.060)and both OS and CSS were significantly worse in urinary system tumor patients in the muscle mass reduction group(OS,HR=1.625;CSS,HR=2.311),whereas no significant differences were observed in other tumors.Conclusion:Tumor patients with muscle mass reduction have significantly worse OS and CSS compared to those with normal muscle mass,and the prognosis varies across different tumor sites.Special attention should be given to muscle mass status in patients with head and neck tumors and urinary system tumors,with timely interventions as needed.

Endodontic diseases are a kind of chronic infectious oral disease.Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha.However,it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT).Recent research,encompassing bacterial etiology and advanced imaging techniques,contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT.Success in RCT hinges on factors like patients,infection severity,root canal anatomy,and treatment techniques.Therefore,improving disease management is a key issue to combat endodontic diseases and cure periapical lesions.The clinical difficulty assessment system of RCT is established based on patient conditions,tooth conditions,root canal configuration,and root canal needing retreatment,and emphasizes pre-treatment risk assessment for optimal outcomes.The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT.These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.

Objective:To establish the ultra high performance liquid chromatography (UPLC) fingerprints of Mume flos at different flowering stages; To provide reference for the quality research of Mume flos.Methods:The fingerprints of Mume flos were established by UPLC method, and the common peaks were identified by high performance liquid chromatography high resolution mass spectrometry (LC-MS). Chemometrics analysis was carried out with the fingerprints' common peak area of plum blossom at different flowering stages as a variable. Semiquantitative analysis of changes in flavonoids and phenolic acids in Mume flos at different flowering stages was conduct using peak area calculation method.Results:Totally 31 common peaks were identified in the fingerprints of plum blossom medicinal materials at different flowering stages and 9 components were identified. Clustering analysis (HCA) and principal component analysis (PCA) both classified plum blossom medicinal herbs at different flowering stages into three categories. Among them, there were significant differences between the groups at the bud stage, blooming period, and final flowering period, while the differences between the groups at blooming period and final flowering period were relatively small. The orthogonal partial least squares discriminant analysis (OPLS-DA) screened 16 different components with VIP>1.0. The contents of phenolic acids in different flowering stages were as follows: bud stage>blooming period>final flowering period, while the contents of flavonoids were as follows: blooming period>final flowering period>bud stage.Conclusions:This method is simple and reliable, and can provide reference for the quality evaluation of plum blossom medicinal materials at different flowering stages.