Objective To explore the medication rules of Professor Gao Zhongying in treatment of chronic atrophic gastritis on basis of his curative prescriptions.Method Prof.Gao Zhongying clinic medical records were used as data resource.Database was built by using Traditional Chinese Medicine Inheritance Support System (Version 2.5).The core combination and assocical rules among the drugs were confirmed by frequency analysis and assocical rules analysis methods.Results We collected 60 clinical formulas including 83 kinds of Chinese herbs.The bighest frequency used simply drugs were Fritilariae Thunbergh Bulbus,Trichosanthis radix,Galli Gigerii Endothelium Corneum and so on.The most frequency drug combination were Fritilariae Thunbergh Bulbus,Trichosanthis radix,Fritilariae Thunbergh Bulbus,Galli Gigerii Endothelium Corneum,Trichosanthis radix,Galli Gigerii Endothelium Corneum,Fritilariae Thunbergh Bulbus,Curcumae Rhizoma and so on.The drug association rules of drug combination were 447 items.Conclusions The medication rules embodied the thoughts of Professor Gao Zhongying of replenishing qi to invigorate the spleen and regulating the stomach to moisten dryness was the main method in treatment of chronic atrophic gastritis and deficiency of spleen and dryness of stomach,which was the key pathogenesis in occurrence and development of chronic atrophic gastritis.

Proteome research has become a new hot spot in the post-genome era. High-resolution two-dimensional gel electrophoresis (2-DE), which provides the most comprehensive analysis system of the whole proteome, was highly improved in recent years. With the development of computer techniques, the powerful and user-friendly image analysis systems appeared to help high-throughput, large-scale proteomic studies. Using new generation two-dimensional image analysis software, ImageMaster 2D Elite, the 2D gels of proteins extracted from cultured Schwann’s cells were processed. The analysis procedure, including image acquirement, spot detection, match, background subtraction, pI/Mr calibration, analysis results report and database query, were reported and discussed.

Objective To understand current situation of full-time healthcare-associated infection(HAI)manage-ment staff in hospitals in Xianyang,explore the causes of instability of HAI management team.Methods Stratified random sampling method was adopted,hospitals were divided into secondary and tertiary levels,then numbered ac-cording to different levels,surveyed hospitals were selected randomly,general condition,professionals,and causes of instability of 52 selected full-time HAI management staff members in 29 secondary and above hospitals in Xian-yang were surveyed.Results Full-time HAI management staff were mainly women,accounting for 89.13%;54.35% of staff were aged 30-50 years;47.83% had bachelor degree and above;41.30% had intermediate profes-sional titles;65.22% were nurses;91.30% engaged in HAI management for <9 years;HAI management staff were statistically different in age and education level(both P<0.05).63.04% of full-time HAI management staff engaged in nursing before engaging in HAI management work;63.04% engaged in HAI management work accord-ing to administrative arrangement,the top three causes for instability of HAI management team were heavy work-load(91.30%),lacking enough attention of leaders(78.26%),and low pay(63.04%).Conclusion Structure of HAI management full-time staff in hospitals in Xianyang is irrational,the main causes for unstable management team is heavy workload,insufficient attention paid by leaders,and low pay.

Chlamydia psittaci is a causative agent of psittacosis,which can infect a wide range of hosts including birds and humans.However,information regarding C.psittaci infection in pigeons is scarce.In the present study,a total of 399 fecal samples from pigeons were collected from Jilin Province,northeastern China,between March and May 2015,and examined by nested PCR amplification of outer membrane protein A (ompA) gene.The overall Chlamydiosis prevalence was 5.01％ (21/399),with 3.19％ in Changchun City and 9.40％ in Jilin City.Furthermore,breed was the major risk factor associated with Chlamydia infection in pigeon,boiler pigeons had a prevalence of 7.49％,whereas no C.psittaci was detected in racing pigeons.Sequence analysis of the ompA gene revealed that all the identified isolates represented C.psittaci genotype B.Our results firstly indicated the presence of zoonotic C.psittaci in boiler pigeons in Jilin Province,northeastern China,and effective measures should be implemented to reduce the risk of C.psittaci transmission from pigeons to humans.

With the universal two-child policy implementation, the birth rate increased, posing challenges to pediatrician allocation. Based on the birth rate, we calculated pediatrician demands and gaps during the period from 2016 to 2020 by the method of health service demand. The results showed that except Beijing and Shanghai, the ped-iatrician supply and demand ratios are less than 0 . 80 and additional numbers of pediatricians ranging from 191 981 to 198 287 are needed to meet the service demands. We recommend increasing the number of pediatricians taking both national supply-demand ratios and gaps by rationally using reasonable enrolment quota and improving the treatment and other reasonable ways to increase pediatricians. In addition, we should enhance information disclosure and guid-ance, and improve the hierarchical hospital visit system to alleviate the pressure of big cities.

With the universal two-child policy implementation, the birth rate increased, posing challenges to the maternity beds resource allocation. Based on the birth rate and the method of health service demand, we calculat-ed the maternity beds demands and gaps during the period from 2016 to 2020 . Results showed that numbers between 73 478 and 99 004 of maternity beds are needed annually and mainly allocated to eastern and central areas as well. In addition, the maternity beds of different delivery institutions should be adjusted and the hierarchical diagnosis system should be improved in order to alleviate the pressure of the obstestric acceepts in big cities like Beijing and Shanghai.

Objective To explore the CT imaging features and independent risk factors for cystic pulmonary nodules and establish a malignant probability prediction model. Methods The patients with cystic pulmonary nodules admitted to the Department of Thoracic Surgery of the First People's Hospital of Neijiang from January 2017 to February 2022 were retrospectively enrolled. They were divided into a malignant group and a benign group according to the pathological results. The clinical data and preoperative chest CT imaging features of the two groups were collected, and the independent risk factors for malignant cystic pulmonary nodules were screened out by logistic regression analysis, so as to establish a prediction model for benign and malignant cystic pulmonary nodules. Results A total of 107 patients were enrolled. There were 76 patients in the malignant group, including 36 males and 40 females, with an average age of 59.65±11.74 years. There were 31 patients in the benign group, including 16 males and 15 females, with an average age of 58.96±13.91 years. Multivariate logistic analysis showed that the special CT imaging features such as cystic wall nodules [OR=3.538, 95%CI (1.231, 10.164), P=0.019], short burrs [OR=4.106, 95%CI (1.454, 11.598), P=0.008], cystic wall morphology [OR=6.978, 95%CI (2.374, 20.505), P<0.001], and the number of cysts [OR=4.179, 95%CI (1.438, 12.146), P=0.009] were independent risk factors for cystic lung cancer. A prediction model was established: P=ex/(1+ex), X=–2.453+1.264×cystic wall nodules+1.412×short burrs+1.943×cystic wall morphology+1.430×the number of cysts. The area under the receiver operating charateristic curve was 0.830, the sensitivity was 82.9%, and the specificity was 74.2%. Conclusion Cystic wall nodules, short burrs, cystic wall morphology, and the number of cysts are the independent risk factors for cystic lung cancer, and the established prediction model can be used as a screening method for cystic pulmonary nodules.