BACKGROUND:Proximal humeral fracture in older adults is one of the three major osteoporotic fractures.Anatomic locking plate fixation is the first choice for most scholars to treat difficult-to-reduce and complex fracture types.However,the probability of reduction failure after the operation is high,which seriously affects patients'quality of life. OBJECTIVE:To investigate the correlation between deltoid tuberosity index and postoperative reduction failure of proximal humeral fractures in the elderly,analyze and filter preoperative independent risk factors for reduction failure of proximal humeral fractures in the elderly,and construct and verify the effectiveness of a clinical prediction model. METHODS:The clinical data of 153 elderly patients with proximal humeral fractures who met the diagnosis and inclusion criteria and received open reduction and locking plate surgery in Foshan Hospital of TCM from June 2012 to June 2021 were collected.The patients were divided into the reduction failure subgroup and the reduction maintenance subgroup.The independent risk factors were selected by multivariate Logistic regression analysis,and the nomogram was constructed by R language.After 1000 times of resampling by Bootstrap method,the Hosmer-Lemeshow goodness of fit correlation test,receiver operating characteristic curve,calibration curve,clinical decision,and influence curve were plotted to evaluate its goodness of fit,discrimination,calibration ability,and clinical application value.Fifty-five elderly patients with proximal humeral fractures from June 2013 to August 2021 were selected as the model's external validation group to evaluate the prediction model's stability and accuracy. RESULTS AND CONCLUSION:(1)Of the 153 patients in the training group,44 patients met reduction failure after internal plate fixation.The prevalence of postoperative reduction failure was 28.8%.Multivariate Logistic regression analysis identified that deltoid tuberosity index[OR=9.782,95%CI(3.798,25.194)],varus displacement[OR=4.209,95%CI(1.472,12.031)],and medial metaphyseal comminution[OR=4.278,95%CI(1.670,10.959)]were independent risk factors for postoperative reduction failure of proximal humeral fractures in older adults(P<0.05).(2)A nomogram based on independent risk factors was then constructed.The Hosmer-Lemeshow test results for the model of the training group showed that χ2=0.812(P=0.976)and area under curve=0.830[95%CI(0.762,0.898)].The calibration plot results showed that the model's predicted risk was in good agreement with the actual risk.The decision and clinical influence curves showed good clinical applicability.(3)In the validation group,the accuracy rate in practical applications was 86%,area under curve=0.902[95%CI(0.819,0.985)].(4)It is concluded that deltoid tuberosity index<1.44,medial metaphyseal comminution,and varus displacement were independent risk factors for reduction failure.(5)The internal and external validation of the risk prediction model demonstrated high discrimination,accuracy,and clinical applicability could be used to individually predict and screen the high-risk population of postoperative reduction failure of proximal humeral fractures in the elderly.The predicted number of patients at high risk is highly matched to the actual number of patients who occur when the model's threshold risk probability is above 65%,and clinicians should use targeted treatment.

BACKGROUND:Internal fixation and open reduction with locking plate is the main treatment for proximal humeral fractures with medial column instability.However,reduction failure is one of the main postoperative complications,and accurate risk factor assessment is beneficial for screening high-risk patients and clinical decision selection. OBJECTIVE:To construct four types of prediction models by different machine learning algorithms,compare the optimal model to analyze and sort the risk variables according to their weight scores on the impact of outcome,and explore their significance in guiding clinical diagnosis and treatment. METHODS:262 patients with proximal humeral fractures with medial column instability,aged(60.6±10.2)years,admitted to Foshan Hospital of Traditional Chinese Medicine between June 2012 and June 2022 were included.All patients underwent open reduction with locking plate surgery.According to the occurrence of reduction failure at 5-month follow-up,the patients were divided into a reduction failure group(n=64)and a reduction maintenance group(n=198).Clinical data of patients were collected,and model variables and their classification were determined.The data set was randomly divided into a training set and a test set according to a 7:3 ratio,and the optimal hyperparameters were obtained in the training set according to a 5-fold cross-over test.Four machine learning prediction models of logistic regression,random forest,support vector machine,and XGBoost were constructed,and the performance of different algorithms was observed in the test set using AUC,correctness,sensitivity,specificity,and F1 scores,so as to comprehensively evaluate the prediction performance of the models.The best-performing model was evaluated using SHAP to assess important risk variables and to evaluate its clinical guidance implications. RESULTS AND CONCLUSION:(1)There were significant differences between the two groups in deltoid tuberosity index,fracture type,fracture end with varus deformity before operation,fragment length of inferior metaphyseal of humerus,postoperative reduction,cortical support of medial column of proximal humerus,and insertion of calcar screw(P<0.05).(2)The best-combined performance of the four machine models was XGBoost.The AUC,accuracy,and F1 scores were 0.885,0.885,and 0.743,respectively;followed by random forest and support vector machine,with both models performing at approximately equal levels.Logistic regression had the worst combined performance.The SHAP interpretation tool was used in the optimal model and results showed that deltoid tuberosity index,medial humeral column cortical support,fracture type,fracture reduction quality,and the status of the calcar screw were important influencing fators for postoperative fracture reduction failure.(3)The accuracy of using machine learning to analyze clinical problems is superior to that of traditional logistic regression analysis methods.When dealing with high-dimensional data,the machine learning approach can solve multivariate interaction and covariance problems well.The SHAP interpretation tool can not only clarify the importance of individual variables but also obtain detailed information on the impact of dummy variables in each variable on the outcome.

Objective　To compare the changes in the genetic diversity of Anopheles minimus through the research on the population genetic characteristics of Anopheles minimus between different years in Nabang Town, Yingjiang County, Yunnan Province. Methods Anopheles mosquitoes were collected by light traps in Nabang Town, Yingjiang County, Yunnan Province in May 2014 and May 2021. After morphological identification, each mosquito was individually stored in separate tubes for further analysis. DNA of Anopheles minimus was extracted using kits. Microsatellite sequences in the template DNA were amplified using eight pairs of fluorescent primers, and the resulting products were subjected to capillary electrophoresis by a sequencing company. PopGen32 software was used to calculate the observed number of alleles (Na), effective number of alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He), and Shannon's information index (I) for individual microsatellite loci and population groups. PIC-CALC software was used to calculate the polymorphic information content (PIC). Results A total of 158 mosquitoes belonging to 6 Anopheles species were captured in 2014, while 529 mosquitoes belonging to 5 Anopheles species were captured in 2021. The composition ratio of Anopheles minimus among the mosquito species differed significantly between 2014 and 2021 (χ2=70.48, P<0.01). For 8 microsatellite loci, a total of 85 alleles were detected, a range of 6-20 alleles per locus and an average of 10.625 alleles. Ne ranged from 1.717 to 7.797, with an average of 4.011. The highest PIC was found in the am4 locus, and the lowest in the am25 locus. For the population groups, 77 alleles were found in 2014, and 62 alleles were found in 2021. Ne ranged from 1.630 to 8.658, with an average of 4.147 in 2014. Ne ranged from 1.760 to 6.744, with an average of 3.698 in 2021. The average Ho was 0.641 in 2014 and 0.650 in 2021, while the average He was 0.699 in 2014 and 0.691 in 2021. The Shannon's index ranged from 0.774 to 2.493 in 2014, with an average of 1.579, and from 0.938 to 2.224 in 2021, with an average of 1.464. Na, Ne, I, and PIC were all higher in 2014 compared to 2021, with Na: 9.625>7.750, Ne: 4.147>3.698, I: 1.579>1.464, and PIC: 0.655>0.640, respectively. Conclusions The populations of Anopheles minimus in Nabang Town, Yingjiang County, exhibited high levels of polymorphism in both 2014 and 2021. However, the genetic diversity of the population in 2021 was lower than that in 2014.

OBJECTIVE To build a standardized simulation teaching system for resident pharmacists and evaluate its effects， and to provide reference for improving the competency of resident pharmacists. METHODS The established simulation teaching system for pharmacy residents’ standardized training in the study included revising the simulation teaching syllabus， setting up simulation teaching courses， implementing the teaching method through “six types of simulations”， applying objective structured clinical examination （OSCE） for assessment， building a simulation teaching team and strengthening the simulation teaching management. The effect evaluation was perfermed with mixed research method， and qualitative and quantitative research methods were used to collect and analyze data and information. RESULTS ＆＆CONCLUSIONS Compared with the traditional teaching system， the passing rate of graduation examination （71.4% vs. 100%） and the score of after-department examination （[ 76.2±7.8） vs. （90.4±4.9）] under the simulation teaching mode were higher； through questionnaire surveys and qualitative interviews， we found that resident pharmacists who went through simulation teaching gave positive feedback on the role and impact of this system. The simulation teaching system can be used with good generalizability for the standardized training of resident pharmacists， and can provide strong basis and support for the high-quality development of hospital pharmacy.

The gut microbiome shows changes under a plateau environment, while the disbalance of intestinal microbiota plays an important role in the pathogenesis of irritable bowel syndrome (IBS); however, the relationship between the two remains unexplored. In this work, we followed up a healthy cohort for up to a year before and after living in a plateau environment and performed 16S ribosomal RNA (rRNA) sequencing analysis of their fecal samples. Through evaluating the participants' clinical symptoms, combined with an IBS questionnaire, we screened the IBS sub-population in our cohort. The sequencing results showed that a high-altitude environment could lead to changes in the diversity and composition of gut flora. In addition, we found that the longer the time volunteers spent in the plateau environment, the more similar their gut microbiota composition and abundance became compared to those before entering the plateau, and IBS symptoms were significantly alleviated. Therefore, we speculated that the plateau may be a special environment that induces IBS. The taxonomic units g_Alistipes, g_Oscillospira, and s_Ruminococcus_torques, which had been proved to play important roles in IBS pathogenesis, were also abundant in the IBS cohort at high altitudes. Overall, the disbalance of gut microbiota induced by the plateau environment contributed to the high frequency of IBS and the psychosocial abnormalities associated with IBS. Our results prompt further research to elucidate the relevant mechanism.

Objective:To study the effect of changing operator on the detection rate of colorectal polyps during surgery in patients who had been diagnosed with colorectal polyps by electronic colonoscopy for the first time.Methods:From June 2016 to June 2019, the patients who had been diagnosed with colorectal polyps by electronic colonoscopy for the first time, they were performed by electronic colonoscopy for the second time after 3 months by 5 doctors in the No.946 Hospital of PLA who had engaged in endoscopic work longer and been with rich experience. The results of the electronic colonoscopy were recorded and compared.Results:Fived hundred and seventy-six patients were found have colorectal polyps through electronic colonoscopy for the first time. Among them, 423 patients came to the hospital within 3 months and were eligibled for the research. The detection rate of newly detected polyps by the same operator was 22.7%(96/423), after changing the operator, the detection rate became 24.3% (103/423), but there was no significant difference ( P>0.05). The detection rates of newly detected polyps were respectively 20.8% (220/1 059) and 25.9%(294/1 133), the proportion of newly detected polyps with diameter ≤ 5 mm was respectively 73.6%(162/220) and 82.0%(241/294), the ratio of flat polyps to total newly detected polyps was 71.8%(158/220) and 79.9%(235/294), and there were significant differences ( P<0.05). The proportion of polyps in sigmoid colon was respectively 35.0% (77/220) and 39.1%(115/294), and there was no significant difference ( P>0.05). Conclusions:For patients with colorectal polyps detected by electronic colonoscopy, the operator should be changed during surgery, so that more missed polyps can be detected during surgery, especially flat polyps with diameter ≤ 5 mm. The operator should be changed to improve the detection rate and reduce the probability of missed diagnosis.

OBJECTIVE：To provid e reference for pharmaceutical workers to better understand Novel Coronavirus Infection ： Expert Consensus on Guidance and Prevention Strategies for Hospital Pharmacists and the Pharmacy Workforce （hereinafter referred to as “expert consensus ”），and to apply and practice in specific work ，so as to give full play to the role of pharmacists to help fight the epidemic.METHODS ：The background of the formulation and revision of the expert consensus were introduced ，and its main contents and viewpoints were interpreted. RESULTS & CONCLUSIONS ：The text of expert consensus is divided into 8 parts，mainly including disease diagnosis and treatment [SARS-CoV- 2 infection related background ，clinical manifestations and diagnosis， treatment]，hospital pharmacy （prevention and control strategy ，work guidance ），drug and facility support management（key drug/facility/equipment support ，management and use of the drug in special circumstances ），information sources and related resources ，etc.，which comprehensively and detailedly provide information ，guidance and strategies for coronavirus SARS-CoV-2 infection prevention and control to play the role of pharmacists in hospital pharmacy well ，do well in the protection of staff in different pharmaceutical posts ，drug security work in response to epidemic situation ，and develop pharmaceutical care. So far，the understanding of SARS-CoV- 2 in the pharmaceutical industry is relatively limited. Based on the accumulated experience and progress in epidemic prevention and control ，the expert consensus will be updated and improved continuously ，so as to provide guidance and help for hospital pharmaceutical personnel.

Objective To compare the hemostatic safety and efficacy of a new butterfly femoral artery compression device (FACD) with those of manual compression (MC) in patients undergoing percutaneous peripheral endovascular interventions via femoral artery. Methods A total of 283 patients, who received percutaneous endovascular interventions via femoral artery during the period from September 2016 to December 2017, were enrolled in this study. After endovascular intervention, 167 patients received FACD to make hemostasis (FACD group), and 116 patients received MC hemostasis (MC group) . The patient's comfortableness, time used for hemostasis (min), limb immobilization time (h), and the incidence of vascular complications in both groups were analyzed. Results All 283 patients were included in analysis, the results indicated that the hemostatic success rates in FACD group and MC group were 96.4％ (161/167) and 94.0％ (109/116) respectively, the difference between the two groups was not statistically significant (P>0.05) . The postoperative Kolcaba Comfort Scale score of FACD group was (85.0 ±11.2) points, which was remarkably higher than (58.4±11.7) points of MC group (P<0.05), the time used for hemostasis in FACD group was (9.2 ±2.2) min, which was strikingly shorter than (18.5 ±2.9) min in MC group (P <0.05) . The limb immobilization time in FACD group was (10.4±2.4) hours, which was obviously shorter than (23.1±4.1) hours in MC group (P <0.05) . The incidence of vascular complications in FACD group was 3.6％, which was dramatically lower than 9.5％ in MC group (χ2=4.206, P=0.04) . Conclusion The use of the new butterfly FACD can promptly, safely and effectively stop bleeding of femoral artery puncture site. The new butterfly FACD is superior to MC in shortening hemostatic time and limb immobilization time, in reducing incidence of vascular complications, as well as in improving patient's comfortableness degree.

Objective: To learn the population,virus status and viral types of hantavirus（HV）hosts in Tiantai County of Zhejiang Province from 2011 to 2018,and to provide evidence for hemorrhagic fever with renal syndrome（HFRS）control. Methods: Rodents in Tiantai County were captured by night trapping method. After the species and age of rodents were identified,the composition of rodent species,dominant species and density of rodents were analyzed. The lungs and blood of rodents were sampled to detect the antigen and antibody of HV by immunofluorescence method. The HV antigen-positive lung samples were detected by RT-PCR with specific primers of HV S fragment,then HV was isolated and identified by inoculating Vero-E6 cells. Results: The average rodent density in Tiantai County from 2011 to 2018 was 4.44%. The rodent density in the field and residential areas were 4.94% and 2.23%,respectively. Ten species of rodents were identified,with Apodemus agrarius dominant in the field and Rattus norvegicus in the residential areas. Sixty-seven lung samples were HV antigen positive（4.13%）,one from Rattus norvegicus and the other sixty-six from Apodemus agrarius. Seventy-nine blood samples were HV antibody positive（4.86%）,all from Apodemus agrarius. Thirty-four HV antigen-positive lung samples were positive（50.75%）after RT-PCR amplification. Twenty-two strains of virus were isolated and all of them were from Apodemus agrarius,including twenty-one strains of Hantaan type（HTN）and one strain of Seoul type（SEO）. Conclusion In Tiantai County,Apodemus agrarius is the main source of HFRS infection;the main epidemic type of HV is HTN and SEO is first found in Apodemus agrarius.

Objective: By investigating the genotype and evolutionary variation of hantavirus (HV) in Tiantai county, a national surveillance site for hemorrhagic fever with renal syndrome (HFRS) was set in Zhejiang province, from 2011 to 2018, to reveal the molecular epidemiological characteristics of hantavirus (HV) in Tiantai. Methods: Total RNA was extracted from ultrasound treated HV antigen- positive rat lung samples in Tiantai from 2011 to 2018. After cDNA was prepared, nested PCR was used to amplify partial sequence of M fragments by using specific primers of HV. The sequences of HV in Tiantai from 2011 to 2018 were compared with other known HV sequences in order to identify the genotype and analyze the evolution and variation of the virus. Results: In 67 HV antigen-positive lung specimens, 31 were positive in nested PCR amplification with type-specific primers, including 30 Hantaan virus (HTNV) positive samples, 1 Seoul virus (SEOV) positive sample, and all the 31 samples were from Apodemus agrarius. The phylogenetic tree based on partial M segment was divided into monophyletic group, 30 strains were distributed in HTNV group and 1 was in SEOV group. The HTNV strain Tiantai T2018-130 was independently in one branch, sharing 84.8%-87.9% homology with other strains both at home and abroad, including 29 strains in HTNV group in Tiantai. The other 29 HTNV strains in Tiantai showed closer relationship. The SEOV strain T2016-31 from Apodemus agrarius showed closer relationship with previous strains of SEOV, Tiantai ZT71, ZT10 and Z37 strains of Wenzhou, Zhejiang province. Conclusions HTNV, the main genotype of HV in Tiantai of Zhejiang province, showed obvious geographic clustering, but the strain T2018-130 was distinct from the others in Tiantai. Meanwhile, by sequence analysis, we confirmed that The SEOV strain T2016-31 existed in in Apodemus agrarius, indicating there was a phenomenon of "spillover" between virus and host in SEOV evolution.