Objective To study the influence factors of infertility by analysis of semen sample and reference for clinical treat-ment.Methods 3 527 cases of semen sample were collected from Jan 2012 to Jun 2014.All samples were analysed by SQA-V analyzer and compared with 80 cases of normal semen.Results There were 358 normal samples (10.2%)and 3 169 ab-normal samples (89.8%).Among the abnormal samples low sperm motility had the highest ratio (2.7%)while abnormal pH had the lowest ratio (61.5%).All the indexes had significance difference to normal sample expect pH value (t=0.065, P =0.969).Among them,the comparison of rate had statistical significance(χ2 =3.214~24.712,P <0.05).The compari-son of mean also had statistical significance(t=2.523~15.324,P <0.05).Conclusion Infertility male almost has abnormal index of semen volume,liquefaction time,sperm motility,sperm density,sperm morphology,sperm viability.Accurately sperm analysis can provide objective basis to clinical diagnosis and treatment.

Based on the concept of empowerment theory and innovation behavior, this paper summarizes the status quo of the impact of empowerment theory on nurses′ innovative behavior, analyzes the essence and influencing factors of innovation behavior of nurses according to the elements of empowerment theory, analyze the empowerment theory and nurses′ individual innovation behavior scale, and puts forward the feedback mechanism of empowerment theory. In order to further improve the innovative behavior of nurses by applying the empowerment theory management mode, it is helpful for nursing managers to train nursing talents by using empowerment theory.

Objective To monitor ventilator-associated event (VAE) for the first time in an intensive care unit (ICU) in China,understand the applicability,incidence,and clinical significance of VAE in China.Methods Targeted monitoring on VAE was performed among patients ≥18 years and with mechanical ventilation (MV)＞2 days in the ICU of a hospital between January 2014 and September 2015,incidence of VAE was calculated,and patients were grouped according to whether or not they had VAE,prognostic factors were analyzed statistically.Results A total of 1 004 patients were monitored,the total hospital stay was 13 795 days in patients who used ventilator,307 (30.58％) cases of VAE occurred,incidence of VAE per 1 000 ventilator-days was 22.25.Univariate analysis showed that patients with VAE had longer length of ICU stay and MV,and higher mortality rate than patients without VAE when they moved out of ICU (all P＜0.05).Multivariate logistic regression analysis showed that VAE was independent risk factor for length of ICU stay,duration of MV,as well as mortality when patients moved out of ICU(all P＜0.05).Conclusion Judgment of VAE is based on MV parameters,it is more objective and accurate.There is a high incidence of VAE among ICU patients,it may lead to poor clinical outcomes,and has good values for the targeted monitoring on ICU patients in large comprehensive hospitals of China.

Objective:To establish the cisplatin-resistant human lung adenocarcinoma cell line A549/(DDP) cisplatin and to study the relationship between EHD2 and drug resistance. Methods:DDP-resistant human lung cancer cell line A549/DDP was established by gradual and stepwise dose enhancement. MTT was used to measure drug sensitivity. Western blot and immunofluorescence were used to evaluate expression and subcellular localization of EHD2 and breast cancer resistance protein (BCRP). Results:The DDP-resistant cell line A549/DDP was established, with a resistance index of 7.6. EHD2 and BCRP expressions both increased and were enriched on the cell surface membrane. Conclusion:Both EHD2 and BCRP expressions were enriched on the resistant cell surface membrane, suggesting that EHD2 endocytic protein stabilizes BCRP and is involved in drug resistance.

Objective To study the correlation among property, efficacy and target of herbal Chinese materia medica; To analyze the molecular mechanism of cold and heat property of Chinese materia medica; To provide references for explaination of microcosmic mechanism and scientific connotation of property of Chinese materia medica. Methods Recordings about property and efficacy of single medicine in 2015 edition of Pharmacopoeia of the People's Republic of China were sorted out. According to Pharmacological Research of New Ideas and New Targets and Pharmacology, 509 kinds of herbal Chinese materia medica were selected. Relevant articles about property, efficacy, pharmacologic action, and target in CNKI and Chinese Academic Journal Database (Wanfang Data) were searched by computers. The target information was screened and standardized, and the database was constructed by using MySQL5.7.13. The correlation between the property, efficacy and the target of the herbal Chinese materia medica was studied by using the frequency analysis and correlation rule algorithm of R software platform 3.3.1. Results 509 kinds of herbal Chinese materia medica were selected, including 227 kinds of cold-property medicine, 106 kinds of neutural-property medicine and 176 kinds of hot-property medicine. According to the result of data mining, efficacy of cold-roperty medicine was quenching thirst, clearing liver and treating stranguriaetc. The target was transforming growth factor β2 and liver microsome, etc. The efficacy of hot-property medicine was warming the middle, releasing cold and dissolving lumps. The target was bone morphology protein 2, rheumatoid factor, etc. The efficacy of neutural-property medicine was clearing lungs, diminishing distension and increasing energy. The target was β-amyloid and prostaglandin E2 receptors. Conclusion There is certain correlation in property, efficacy and target in Chinese materia medica.

Objective:To investigate the clinical value of radiomics based on computed tomography (CT) examination in preoperative differential diagnosis of pancreatic serous cystadenoma (SCA) and mucinous cystadenoma (MCA).Methods:The retrospective case-control study was conducted. The clinicopathological and imaging data of 154 patients with pancreatic cystic neoplasms who were admitted to the First Affiliated Hospital, Zhejiang University School of Medicine from January 2012 to December 2019 were collected. There were 24 males and 130 females, aged (50±13)years. Of the 154 patients, 99 cases were diagnosed as SCA and 55 cases were diagnosed as MCA. All the 154 patients underwent plain and enhanced CT scan of pancreas before operation. The clinical characteristics, radiology features and radiomics features of all patients were collected to construct the clinical characteristics model, radiology model, radiomics model and fused model. The receiver operating characteristic (ROC) curve of each model was drawn, and those constructed models were evaluated by area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value and negative predictive value. Based on the optimal model, the nomogram was constructed. Observation indicators: (1) establishment and validation of clinical characteristics model; (2) establishment and validation of radiology model; (3) establishment and validation of radiomics model; (4) establishment and validation of fused model; (5) nomogram of fused model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Results:(1) Establishment and validation of clinical characteristics model: 3 clinical characteristics, including age, symptoms and preoperative serum CA19-9, were selected using multinomial logistic linear regression analysis to construct the clinical characteristics model. Result of the multinomial logistic linear regression analysis was expressed by formula ①: clinical characteristics model score=0.635-0.007×age+0.054×clinical symptoms+0.108×preoperative serum CA19-9. The ROC curve for the test dataset of clinical characteristics model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of clinical characteristics model were 0.611(95% confidence interval as 0.488?0.734, P<0.05), 56.6%, 66.7%, 56.3%, 41.5%, 78.4% for the training dataset and 0.771(95% confidence interval as 0.624?0.919, P<0.05), 77.8%, 63.1%, 88.5%, 80.1%, 76.7% for the test dataset, respectively. (2) Establishment and validation of radiology model: 5 radiology characteristics, including tumor location, the number of tumors, tumor diameter of cross section, lobulated tumor and polycystic tumor (more than 6), were selected using multinomial logistic linear regression analysis to construct the radiology model. Result of the multinomial logistic linear regression analysis was expressed by formula ②: radiology model score=?0.034+0.300×tumor location+0.202×the number of tumors+0.014×tumor diameter of cross section?0.251×lobulated tumor?0.170×polycystic tumor (more than 6). The ROC curve for the test dataset of radiology model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of radiology model were 0.862(95% confidence interval as 0.791?0.932, P<0.05), 78.8%, 81.8%, 77.5%, 62.8%, 90.2% for the training dataset and 0.853(95% confidence interval as 0.713?0.994), P<0.05), 88.9%, 89.4%, 88.5%, 85.0%, 92.0% for the test dataset, respectively. (3) Establishment and validation of radiomics model: 4 categories of a total 1 067 radiomics features were extracted from 154 patients with pancreatic cystic neoplasms, including 7 first-order histogram features, 53 texture features, 848 wavelet features and 159 local binary pattern features. A total of 896 stable radiomics features were retained to construct the model, based on the condition of intraclass correlation coefficient >0.9. After selected by variance threshold and correlation coefficient threshold, 350 radiomics features were retained. Fifty synthetic radiomics features were constructed based on the original features in order to obtain potential radiomics features, and the total number of radiomics features was 400. After analyzed by the five-fold recursive feature elimination, 22 radiomics features were screened out, including 13 wavelet features, 7 synthetic radiomics features and 2 local binary pattern features. The support vector machine algorithm was used to construct the radiomics model. The penalty coefficient 'C' and parameter 'γ' of the radiomics model were 35.938 and 0.077, respectively. The kernel function of the radiomics model was 'radial basis function kernel'. The ROC curve of radiomics model using 5-fold cross validation was drawn. The average AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of the radiomics model were 0.870 ( P<0.05), 83.1%, 81.8%, 83.8%, 73.8% and 89.2%, respectively. (4) Establishment and validation of fused model: the fused model was constructed after selecting the tumor location and lobulated tumor of radiology characteristics and radiomics score. Result of the multinomial logistic linear regression analysis was expressed by formula ③: fused model socre=?0.154+0.218×tumor location?0.223×lobulated tumor+0.621×radiomics score. The ROC curve for the test dataset of fused model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of fused model were 0.893(95% confidence interval as 0.828?0.958, P<0.05), 83.7%, 81.8%, 84.5%, 71.1%, 90.9% for the training dataset and 0.966(95% confidence interval as 0.921?0.999, P<0.05), 91.1%, 84.2%, 96.2%, 94.1%, 89.3% for the test dataset, respectively. (5) Nomogram of fused model: the nomogram of fused model was illustrated with the Youden index of 0.416. Conclusion:The prediction model based on the radiomics signature and radiological features extracted from preoperative CT examination can make the differential diagnosis of pancreatic SCA from MCA.

Objective:To observe and preliminarily discuss the distribution characteristics of the non-perfusion area (NP) of the retina in different stages of diabetic retinopathy (DR) and its changes with the progression of DR.Methods:A retrospective clinical study. From October 2018 to December 2020, 118 cases of 175 eyes of DR patients diagnosed in Eye Center of Renmin Hospital of Wuhan University were included in the study. Among them, there were 64 males with 93 eyes and 54 females with 82 eyes; the average age was 56.61±8.99 years old. There were 95 eyes of non-proliferative DR (NPDR), of which 25, 47, and 23 eyes were mild, moderate, and severe; 80 eyes were proliferative DR (PDR). Ultra-wide-angle fluorescein fundus angiography was performed with the British Optos 200Tx imaging system, and the fundus image was divided into posterior, middle, and distal parts with Image J software, and the ischemic index (ISI) was calculated. The difference of the retina in different DR staging groups and the difference of ISI were compared in the same area. The Kruskal-Wallis test was used to compare the ISI between the different DR staging groups and the Kruskal-Wallis one-way analysis of variance was used for the pairwise comparison between the groups.Results:The ISI of the posterior pole of the eyes in the moderate NPDR group, severe NPDR group, and PDR group were significantly greater than that in the distal periphery, and the difference was statistically significant ( χ 2=6.551, 3.540, 6.614; P=0.000, 0.002, 0.000). In severe NPDR group and PDR group, the ISI of the middle and peripheral parts of the eyes was significantly greater than that of the distal parts, and the difference was statistically significant ( χ 2=3.027, 3.429; P=0.015, 0.004). In the moderate NPDR group, there was no significant difference in ISI between the peripheral and distal parts of the eye ( χ 2=2.597, P=0.057). The ISI of the posterior pole of the eyes in the moderate NPDR group and the PDR group was significantly greater than that in the middle periphery, and the difference was statistically significant ( χ 2=3.955, 3.184; P=0.000, 0.009). In the severe NPDR group, there was no significant difference in ISI between the posterior pole and the middle periphery of the eye ( χ 2=0.514, P=1.000). Compared with the mild NPDR group and the moderate NPDR group, the ISI of the whole retina, posterior pole, middle and distal parts of the PDR group was larger, and the difference was statistically significant ( χ 2=-7.064, -6.349,-6.999, -5.869, -6.695, -6.723, -3.459, -4.098; P=0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.003, 0.000). Conclusion:The NP of the eyes with different DR stages is mainly distributed in the posterior pole and the middle periphery. The higher the severity of DR, the greater the NP in the posterior and middle periphery.

Objective To construct and validate a clinical prediction model for delayed extubation undergoing non-emergency major surgery based on the random forest algorithm.Methods Clinical data of 7 528 patients undergoing non-emergency major surgery under general anesthesia from January 2018 to De-cember 2022 were retrospectively collected.The patients were divided into two groups according to whether extubation was performed within 2 hours after surgery:non-delayed extubation group(≤2 hours)and de-layed extubation group(＞2 hours).All the patients were randomly divided into a training set and a valida-tion set in a ratio of 7 ∶ 3.The predictive factors for delayed extubation after surgery were screened through LASSO regression and Logistic regression.The random forest model was established and verified by random forest algorithm.Results There were 123 patients(1.6%)experienced delayed extubation after surgery.ASA physical status,department,intraoperative use of flurbiprofen ester,dexmedetomidine,glucocorticoid,hypocalcemia,severe anemia,intraoperative blood transfusion,and airway spasm were identified as inde-pendent predictive factors for delayed extubation.The area under curve(AUC)value of the random forest prediction model in the validation set was0.751(95%CI0.742-0.778),and the sensitivity was98.1%,and the specificity was 41.9%.Conclusion The predictive model of delayed extubation undergoing non-e-mergency major surgery based on random forest algorithm has a good predictive value,which may be helpful to prevent delayed extubation undergoing non-emergency major surgery.

ABSTRACTOBJECTIVE To observe the preventive effect of oxaliplatin induced peripheral neuropathy treated by fumigation of Siteng Yixian decoction.METHODS Totally 150 colorectal cancer patients from oncology department Of Hainan provincial hospital of TCM between January 2010 and December 2014 were enrolled in this study.And they were randomized into two groupswith 75 cases in each.The patients in the control group only received oxaliplatin based chemotherapy.While the pa-tients in the treatment group were given the chemotherapy combined with fumigation of Siteng Yixian decoction.The fumiga-tion lasted for forty minutes a timetwice a day.After the treatment of two cycles chemotherapythe incidence rate and sever-ity classification of peripheral neuropathy was analyzed one month later to evaluate the preventive effect.RESULTS The difference of incidence rate of peripheral neuropathy was significantwith the rate being 18.7% in the treatment group and 56. 0% in the control groupP <0.01.The severity classification was evidently higher in the control group90.37than those in the treatment group60.63and there exised a statistical significanceP <0.05.Among the patients who had second degree peripheral neuropathy or abovethe oxaliplatin accumulative dose was1 054.76±124.6in the treatment group and823.47 ±190.67 in the control groupand the difference was statistically significantP <0.05.Logistic regression indicated that fu-migation of Siteng Yixian decoction was the protective factor for the oxaliplatin?induced peripheral neuropathy.CONCLUSION Fumigation of Siteng Yixian decoction can reduce the incidence ratedecline the severity classification of oxaliplatin?induced peripheral neuropathy and increase the oxaliplatin tolerance dose.It is the independent preventive factor for oxaliplatin?induced peripheral neuropathy.