Objective:To summarize the medication law and academic experience of Professor Yuan Jinsheng in the treatment of angina pectoris (AP) of coronary heart disease (CHD) through R language data mining technique.Methods:The effective outpatient medical records of Professor Yuan Jinsheng in the treatment of AP of CHD from January 1, 2016 to September 30, 2023 were selected, and the R 4.2.3 was used for frequency statistics, association rule analysis, systematic clustering analysis and correlation analysis of prescription drugs.Results:A total of 292 prescriptions were included, including 268 patients, involving 204 kinds of Chinese materia medica, and the total frequency of Chinese materia medica was 4 253 times. The main properties were warm and neutral, the main tastes were bitter, pungent and sweet, and the main meridians were spleen, lung and liver meridians. The analysis of association rules obtained 125 core TCM combinations, and the commonly used drug pair was Trichosanthis Fructus-Aurantii Fructus Immaturus. The core prescription composed of Aurantii Fructus Immaturus, Chuanxiong Rhizoma, Trichosanthis Fructus, Citri Reticulatae Pericarpium and Salviea Miltiorrhizae Radix et Rhizoma. Seven TCM groups of were obtained by systematic clustering analysis. Correlation analysis showed that the drug pairs with phi coefficient greater than 0.6 were in 8 groups.Conclusions:Studies suggest that AP of CHD is located in the heart, which is related to lung, spleen, liver and kidney, deficiency in root and excess in superficiality, phlegm, blood stasis and qi stagnation are important pathological factors. The treatment is based on the basic principles of tonifying qi, promoting yang, relieving rheumatism, resolving phlegm, activating blood circulation, and promoting qi circulation. It embodies Professor Yuan's academic thoughts and principles of differentiation and treatments of "taking fluency as the main point, regulating the five internal organs and weighing the root and superficiality".

Objective To analyze the medication law of Professor Yuan Jinsheng,a renowned TCM practitioner in China,for treating palpitations through data mining methods.Methods Clinical prescriptions for treating palpitations by Professor Yuan Jinsheng from January 2016 to May 2023 were collected.The prescriptions were screened based on inclusion and exclusion criteria,a prescription compatibility network was constructed based on R Studio 4.3.1,and the medication law of prescriptions was analyzed.Results Totally 331 prescriptions were screened,involving 180 types of Chinese materia medica,with a total frequency of 3 625.The most frequently used drugs(≥30 times)were mainly tonics.The main properties were warm and neutral,the main tastes were sweet,bitter,and pungent,which belonged to heart,spleen and lung meridians.The top 5 drugs with high correlation were tonifying,blood circulation-activating and stasis-resolving,qi-regulating,and heat-clearing.Correlation analysis reveals high-frequency drugs,which were mainly Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Rehmannine Radix,Ophiopogonis Radix,Astragali Radix and Codonopsis Radix.The clustering analysis results showed that the efficacy was mainly tonifying deficiency,regulating qi,activating blood circulation,and resolving stasis.Conclusion Professor Yuan Jinsheng's prescription compatibility for treating palpitations primarily focuses on tonics,qi-regulating,and blood circulation-activating and stasis-resolving herbs,embodying the principles of treating palpitations from the perspective of the heart and spleen and the combined use of multiple organs.

Objective To investigate the etiological and antibiotic resistance profile in the old patients with bloodstream infection (BSI).Methods Microbiological and clinical data were collected and reviewed retrospectively for the patients with confirmed bloodstream infection and at least 65 years of age who were treated as inpatients in Tongling People′s Hospital from January to December 2015.Results A total of 107 strains of pathogen were isolated from the blood samples of 107 patients with bloodstream infections, of which community-acquired BSI accounted for 57.9 % (62/107), and hospital-acquired BSI 42.1 % (45/107). Gram negative bacilli accounted for 67.7 % in the pathogens of community-acquired BSI and gram positive cocci accounted for 55.5 % in the pathogens of hospital-acquired BSI. More male BSI patients were secondary to respiratory tract infection than female patients (P<0.001), while more female BSI patients were secondary to urinary tract infection than male patients (P<0.001). Of the 107 isolates, gram negative bacilli, gram positive cocci and fungi accounted for 55.1 % (59/107), 42.1 % (45/107) and 2.8 % (3/107), respectively. The top six pathogens were E. coli (30.9 %), coagulase negativeStaphylococcus (CNS) (20.6 %), S. aureus (10.3 %),K. pneumoniae (6.5 %),Enterococcusspp. (6.5 %) and Acinetobacter spp. (4.7 %). About 51.5 % of the E. coli isolates and 28.6 % of the K. pneumoniae isolates produced extended-spectrum β-lactamases (ESBLs).E. coli isolates showed low resistance rate (< 10 %) to amikacin,cefoxitin and piperacillin-tazobactam. No E. coli isolate was found resistant to carbapenem. About 14.3 % to 28.6 % of K. pneumoniae isolates were resistant to carbapenems. No tigecycline-resistant K. pneumoniae was found. The prevalence of MRSA and MRCNS was 36.4 % and 72.7 %, respectively. No staphylococcal isolates were found resistant to vancomycin, teicoplanin or linezolid. One strain of E. faecium was identified as resistant to vancomycin (VRE).Conclusions This surveillance data indicate that gram negative bacilli play an important role in the BSI of old patients. E. coli and CNS are the most common pathogens. We should pay more attention to the effect of gender and site of infection on the BSI in old patients.

Purpose To explore the biological significance of BCL-6 and ZEB2 in invasion,metastasis and prognosis of breast cancer.Methods The expressions of BCL-6,ZEB2 protein and mRNA were detected respectively in 228 cases of breast cancer and 80 cases of breast benign lesions by immunohistochemical SP two-step staining and situ hybridization.Result The expression levels of BCL-6,ZEB2 protein and mRNA in breast cancer tissues were significantly higher than in breast benign lesions (P ＜ 0.05).The expressions of BCL-6 was positively correlated with tumor size,lymphatic metastasis,histological grade,TNM staging and HER-2 expression (P ＜ 0.05).The expressions of ZEB2 was positively correlated with tumor size,lymphatic metastasis,TNM staging and HER-2 expression (P ＜ 0.05).The overall survival and relapse-free survival of BCL-6 and ZEB2 positive expression were significantly less than the negative expression (P ＜ 0.01).Conclusion The BCL-6 and ZEB2 are closely correlated with the evolution process of breast cancer,which may become important means for monitoring and warning the metastasis,invasion,and prognosis of breast cancer.