The evaluation of undergraduate course teaching by the Ministry of Education is a challenge to all our teachers,but it is also a chance for us to improve the teaching quality of infectious disease class.In this article we summarized the experience of the infectious disease education reform of many years,and discussed the approach and means of improving the teaching quality of infectious disease class.

Objective To analyze the characteristics of clinical manifestations, risk factors, therapies and acute outcomes in patients with cerebral venous sinus thrombosis complicated by cerebral hemorrhage. Methods Seventy-five patients with cerebral venous sinus thrombosis were included in the study. According to the radiological findings on the brain image, patients were divided into two subgroups:cerebral hemorrhage group and non-hemorrhage group. The demo?graphic data, potential risk factors, clinical manifestations, radiological features, therapeutic strategies and acute out?comes were compared between two subgroups, and high risk factors were also analyzed. Results There were seventy-five patients with cerebral venous sinus thrombosis in the present study. Twenty-eight patients of them (37.2%) had cerebral hemorrhage whereas the remaining forty-seven patients (62.7%) did not have cerebral hemorrhage. Pregnancy/puerperi?um were significantly higher in patients with cerebral hemorrhage (with vs without;28.6%vs. 6.4%, P=0.015), while in?fection was markedly higher in patients without cerebral hemorrhage (with vs without;7.1% vs. 29.8%, P=0.021). Head?ache (92.9% vs. 70.2%, P=0.021), unconsciousness (25.0% vs. 6.4%,P=0.034), seizures (53.6% vs. 19.1%, P=0.002) and motor deficits (35.7% vs. 12.8%, P=0.019) were more common in patients with cerebral hemorrhage. Moreover, mul?tiple sinus involvement (1.4% vs. 44.7%, P=0.024) was significantly higher and the acute outcomes(mRS≥3: 46.4%vs.17.0%, P=0.006)were poorer in patients with cerebral hemorrhage. Binary Logistic analysis showed that pregnancy/pu?erperium (P=0.004) and multiple sinus involvement were positively, whereas infection was negatively correlated with cere?bral venous sinus thrombosis and hemorrhage ( P=0.007;P=0.03). Conclusions Pregnancy/puerperium, headache, uncon?sciousness, seizures, motor deficits and multiple sinus involvement are more frequently in patients with cerebral venous sinus thrombosis and hemorrhage, and the acute outcomes are poorer in patients with cerebral venous sinus thrombosis complicated by cerebral hemorrhage.

Objective: To assess value of contrast enhanced ultrasound (CEUS) in TN staging of pancreatic cancer and compared with contrast enhanced computed tomography(CECT). Methods: Seventy-eight cases with pancreatic cancer confirmed by pathology were enrolled in this study. All patients were examined using CEUS and CECT and staged according to the 8th guideline of pancreas tumors of AJCC. The diagnostic accuracies of CEUS in TN staging of pancreas tumors were compared with CECT. Results: The diagnostic accuracies of CEUS in T staging and N staging of pancreatic cancer were 80.8%, and 78.2%, respectively. For CECT, the diagnostic accuracies in T staging and N staging were 88.5%, and 88.5%, respectively. There was no significant difference in the diagnostic accuracies between CEUS and CECT in T staging(χ²=1.56, P=0.21). The diagnostic accuracy of CEUS in N staging was significantly lower than that of CECT(χ²=3.86, P=0.04). Conclusions The diagnostic accuracy of CEUS in T staging of pancreatic cancer is similar to that of CECT, while in its N staging is lower than that of CECT.

BACKGROUND:Unexplained infertility is associated with a higher abortion rate and lower fertilization rate,implantation rate,clinical pregnancy rate and cumulative live birth rate.It is urgent to establish a clinical prediction model related to infertility of unknown cause to solve the problems of clinical prognosis and individualized medical services,and finally achieve the purpose of increasing the cumulative live birth rate of patients with infertility of unknown cause. OBJECTIVE:To construct and verify the prediction model of high-quality blastocyst formation in patients with unexplained infertility during in vitro fertilization. METHODS:A total of 419 patients with unknown infertility who underwent in vitro fertilization in the Assisted Reproduction Department of Changzhou Maternal and Child Health Care Hospital from March 2017 to June 2022 were retrospectively analyzed,including 317 patients with high-quality blastocysts and 102 patients without high-quality blastocysts.A prediction model was established and used as the model group.The model group was sampled 1 000 times by the Bootstrap method as the validation group.Firstly,the univariate analysis was used to screen the influencing factors of high-quality blastocyst formation of unknown infertility,and the best matching factors were selected by the least absolute shrinkage and selection operator(LASSO)algorithm.Multiple factors were included in the progressive Logistic regression to find out the independent influencing factors and draw a column graph.Finally,the subject working curve,calibration curve,clinical decision curve and clinical impact curve were used to verify the differentiation and accuracy of the prediction model as well as the clinical application efficiency. RESULTS AND CONCLUSION:(1)Univariate analysis of the factors influencing the formation of high-quality blastocyst of unknown infertility were age,insemination method,antimullerian hormone level,basal follicle-stimulating hormone level,basal luteinizing hormone level,human chorionic gonadotropin injection day follicle-stimulating hormone level,human chorionic gonadotropin day estradiol level,progesterone level on human chorionic gonadotropin day,the number of high-quality cleavage embryo(day 3)and the number of blastocyst formation(P<0.05).(2)The best matching factors further screened by LASSO regression were age,insemination method,antimullerian hormone level,basal luteinizing hormone level,human chorionic gonadotropin injection day follicle-stimulating hormone level,human chorionic gonadotropin day estradiol level,the number of high-quality cleavage embryo(day 3)and the number of blastocyst formation(P<0.05).Multifactor stepwise Logistic regression results showed that independent influencing factors on the formation of high-quality blastocysts for unexplained infertility were age,insemination method,antimullerian hormone level,the number of high-quality cleavage embryo(day 3),and the number of blastocyst formation.(3)Receiver operating characteristic curve exhibited that the area under the curve was 0.880(0.834,0.926)in the model group and 0.889(0.859,0.918)in the validation group.It showed that the prediction model had good differentiation.The average absolute error of the calibration curve was 0.036,indicating that the model had good accuracy.The Hosmer-Lemeshow test showed that there was no statistical difference between the prediction probability of blastocyst formation and the actual probability of blastocyst formation(P>0.05).The clinical decision curve and clinical impact curve showed that the model group and the validation group had the maximum clinical net benefit when the threshold probability value was(0.16-0.96)and(0.08-0.93),respectively,and had better clinical application efficacy within the threshold probability range.These findings concluded that age,insemination method,antimullerian hormone,the number of high-quality cleavage embryos(day 3),and the number of blastocyst formation were independent factors influencing the formation of the fine blastocyst in patients with unexplained infertility.The clinical prediction model constructed by these factors has good clinical prediction value and clinical application efficiency and can provide a basis for clinical prognosis and intervention as well as the formulation of individual medical programs.

BACKGROUND:A large number of previous studies have confirmed that a high concentration of metabolites is significantly correlated with embryo quality and clinical outcome,and the theory of silencing embryo development indicates that normally developed embryos maintain a low level of material exchange with the outside world during in vitro culture,while embryos often show abnormal metabolic activity due to stress repair mechanism when DNA damage occurs. OBJECTIVE:To establish and verify an embryo quality prediction model based on the third-day 340 nm absorbance embryo cultures to provide the basis for a more objective and accurate embryo quality assessment. METHODS:269 patients at the Nanxishan Hospital of Guangxi Zhuang Autonomous Region for in vitro fertilization and embryo transplantation from November 2019 to December 2021 were retrospectively analyzed.Among them,on day 3,162 cases who had 873 optimal embryos and 214 high-quality blastocysts were included in the high-quality embryo group.On day 3,107 cases who had 859 non-optimal embryos and 214 non-high-quality blastocysts were included in the non-high-quality embryo group.Lambert-beer law was used to screen out the characteristic wavelength with distinguishing degree between superior and non-superior embryos,analyze its correlation and influence trend with high-quality embryos,and establish the clinical prediction model and validation of absorbance for high-quality and non-high-quality embryos at this wavelength. RESULTS AND CONCLUSION:(1)There was a significant difference in absorbance between high-quality and non-high-quality embryos at 340 nm on day 3(P<0.001),and a negative correlation was found with the formation of high-quality embryos on day 3(r=-0.486,P<0.001).The absorbance of high-quality and non-high-quality blastocyst at 340 nm was significantly different(P<0.05),and was negatively correlated with the formation of high-quality blastocyst(r=-0.642,P<0.001).(2)The optimal cut-off value of absorbance at 340 nm between high-quality and non-high-quality embryos on day 3 was 0.235.The area under the curve was 0.799.Sensitivity was 62.9%.Specificity was 78.0%.Accuracy was 70.5%.The optimum cutoff value of high-quality and non-high-quality blastocysts of absorbance at 340 nm was 0.175.The area under the curve was 0.871.Sensitivity was 74.3%.Specificity was 89.1%.Accuracy was 82.2%.(3)Restricted cubic spline curve analysis showed that when the absorbance of the culture medium at 340 nm was greater than 0.221,there was a significant positive trend on the formation of non-high-quality embryos at day 3,and when the absorbance of the culture medium at 340 nm was greater than 0.160,there was a significant positive trend on the formation of non-high-quality blastocysts.(4)The clinical decision curve and clinical influence curve showed that the absorbance of the culture medium at 340 nm had the maximum clinical net benefit for the prediction models of high-quality embryos and high-quality blastocysts on the third day when the valve probability was 0.18-0.95 and 0.16-1.00,respectively,and the ratio of loss to gain within the valve probability range was always less than 1.It is proven that the prediction model has good efficacy in clinical applications.The results of embryo transfer showed that the absorbance of embryo culture medium at 340 nm in non-pregnant patients was significantly higher than that in clinical pregnancy,biochemical pregnancy and early abortion patients(P<0.05).(5)The high-quality and non-high-quality embryo culture in 340 nm absorbance has a significant difference with correlation.The embryo quality prediction model has a certain clinical value and application effectiveness.The joint embryo morphology evaluation to a certain extent improves the objectivity and accuracy of embryo quality evaluation.

Objective To investigate distribution and antimicrobial resistance among nosocomial pathogens from 13 teaching hospitals in China in 2009. Methods Non-repetitive pathogens from nosocomial BSI, HAP and IAI were collected and sent to the central lab for MIC determination by agar dilution method.WHONET5.6 software was used to analyze the data. Results A total of 2 502 clinical isolates were collected. The top three pathogens of BSI were Escherichia coli [27. 1% (285/1 052 )] , coagulase-negutive staphylococcus [12. 6% ( 133/1 052)] and Klebsiella pneumoniae [10. 8% ( 114/1 052)]. The top three pathogens of HAP were Acinetobacter baumannii [28. 8% (226/785)], Pseudomonas aeruginosa [16. 1% (126/785)] and Klebsiella pneumoniae [14.6% (115/785 )] . The top three pathogens of IAI were Escherichia coli[31.0% ( 206/665 )], Klebsiella pneumonia [11.3% ( 75/665 )] and Enterococcus faecium [10. 8% (72/665)]. Against Escherichia coil and Klebsiella spp. , the antimicrobial agents with higher than 80% susceptibility rate included imipenem and meropenem (98. 1%-100% ), tigecycline (95.3%-100% ), piperacillin-tazobactam ( 88.6% -97. 1% ) and amikacin ( 88. 3% -92. 5% ). Against Enterobacter spp. , Citrobacter spp. and Serratia spp. , the susceptibility rates of tigecycline were 93.5% -100% whereas the value of imipenem and meropenem were 92.9% -100%. Other antimicrobial agents with high activity included amikacin ( 85.2% -96. 7% ), pipcracillin-tazobactam ( 82.4% -96.4% ), cefepime ( 79. 6% -96. 7% ) and cefoperazonc-sulbactam (78. 7%-90. 0% ). Polymyxin B showed the highest susceptibility rateagainst Pseudomonas aeruginosa ( 100% ), followed by amikacin ( 81.9% ) and piperacillin-tazobactam (80.1% ). Polymyxin B also showed the highest susceptibility rate against Acinetobacter baumannii (98. 8% ), followed by tigecycline (90. 1% ) and minocycline (72. 0% ). The incidence of carbapenemresistant Acinetobacter baumannii was 60. 1%. The MRSA rate was 60. 2% and the MRSCoN rate was 84. 2%. All Staphylococcus strains were susceptible to tigecycline, vancomycin, teicoplanin and linezolid except for one isolate of Staphylococcus haemolysis with intermediate to teicoplanin. Two Enterococcus faecalis isolates which were intermediate to linezolid and one Enterococcus faecium isolate which was resistant to vancomycin and teicoplanin was found in this surveillance, while the MICs of tigecycline against these three isolates were 0. 032-0. 064 μg/ml. Conclusions Tigecycline, carbapenems, piperacillin-tazobactam,amikacin and cefepime remain relatively high activity against nosocomial Enterobacteriaceae. Pseudomonas aeruginosa exhibite high susceptibility to polymyxin B, while Acinetobacter baumanni shows high susceptibility to polymyxin B and tigecycline. Tigecycline, vancomycin, teicoplanin and linezolid remain high activity against nosocomial gram-positive cocci.

Objective: To describe the clinical characteristics of pneumococcal infections and drug resistance of Streptococcus pneumoniae isolates from children's hospitals, which would provide reference for preventing and treating pneumococcal diseases. Methods: This was a prevalence survey. In this study, the age, specimen type, monthly distribution characteristics, and antimicrobial resistance of Streptococcus pneumoniae isolates from 9 children's hospitals in China were investigated between January 1, 2016 and December 31, 2016. The WHONET 5.6 software was used to analyze the antibiotic susceptibility of Streptococcus pneumoniae. The comparison of rates was performed by Chi-square test. Results: A total of 6 200 isolates of streptococcus pneumoniae were obtained, namely, 95.1% (5 876/6 177) from the respiratory tract specimens, 2.2% (136/6 177) from blood specimens and 0.4% (24/6 177) from cerebrospinal fluid specimens. The isolates were mainly from children older than 1 and younger than 5 years (54.7%, 3 381/6 185) . Most of strains (33.2%, 1 184/3 563) were isolated in November, December and January. Streptococcus pneumoniae isolates were completely sensitive to vancomycin (100.0%, 6 189/6 189) , linezolid (100.0%, 6 030/6 030) , moxifloxacin (100.0%, 3 064/3 064) , highly sensitive to levofloxacin (99.8%, 5 528/5 540), ertapenem (98.8%, 3 024/3 061) and lowly sensitive to erythromycin (1.7%, 102/6 016), clindamycin (3.7%, 116/3 136), and tetracycline (5%, 244/4 877), respectively. According to the parenteral susceptibility breakpoints for non-meningitis isolates, the sensitivity of Streptocococus pneumoniae to penicillin from children's hospital of Chongqing Medical University (49.3%, 892/1 809) was significantly lower than those of other hospitals (χ²=1 268.161, P<0.05) . Conclusions Streptococcus pneumoniae is mainly isolated from respiratory tract, from children older than 1 and younger than 5 years and during November to January in tertiary children's hospital of China. The Streptococcus pneumoniae from children is highly sensitive to vancomycin, linezolid, moxifloxacin, levofloxacin. There are also significant differences in the sensitivity of penicillin for Streptococcus pneumoniae from different hospitals.

BACKGROUND:Reducing the rate of abnormal fertilization is an effective approach to improving the efficacy of in vitro fertilization and reducing patients'financial strain.However,the current research on abnormal fertilization has focused on exploring the types of prokaryotic nuclei and their generation mechanisms,as well as analyzing embryos formed by abnormal fertilization,chromosomal ploidy and utilization value.There is a lack of clinical prediction models for abnormal fertilization based on retrospective studies. OBJECTIVE:To construct a nomogram model to predict abnormal female factors in in vitro fertilization. METHODS:A total of 5 075 patients undergoing treatment for conventional in vitro fertilization at Nanxishan Hospital of Guangxi Zhuang Autonomous Region from March 2017 to March 2022 were retrospectively analyzed.The male confounders were calibrated on a 1:1 propensity score with a match tolerance of 0.02,and 1 672 cases were successfully matched.According to the Vienna Consensus,patients with≥60%normal fertilization capacity were included in the normal fertilization group(n=836)and those with<60%normal fertilization capacity were included in the abnormal fertilization group(n=836).The model and validation groups were obtained by random sampling at a ratio of 7:3.Factors related to the occurrence of abnormal fertilization following conventional in vitro fertilization in the model group were screened using univariate analysis and the best matching factors were selected using the Least Absolute Shrinkage and Selection Operator(LASSO)and included in a multifactorial forward stepwise Logistic regression to identify their independent influencing factors and plot a nomogram.Finally,the prediction model was validated for discrimination,accuracy and clinical application efficacy using receiver operating characteristic curves,calibration curves,clinical decision curves and clinical impact curves. RESULTS AND CONCLUSION:The univariate analysis indicated the factors influencing the occurrence of abnormal fertilization were age,controlled ovarian hyperstimulation protocol,number of assisted pregnancies,years of infertility,infertility factors,anti-mullerian hormone,sinus follicle count,basal luteinizing hormone,luteinizing hormone concentration on the human chorionic gonadotropin day,and estradiol level on human chorionic gonadotropin injection day(P<0.05).LASSO regression further identified the best matching factors,including age,microstimulation protocol,number of assisted pregnancies,years of infertility,anti-mullerian hormone,luteinizing hormone level on human chorionic gonadotropin injection day,and estradiol level on human chorionic gonadotropin injection day(P<0.05).Multifactorial forward stepwise Logistic regression results showed that age,microstimulation protocol,number of assisted conceptions,years of infertility,anti-mullerian hormone,and estradiol level on human chorionic gonadotropin injection day were independent influencing factors for the occurrence of abnormal fertilization following conventional in vitro fertilization.The receiver operating characteristic curves showed an area under the curve of 0.761(0.746,0.777)for the model group and 0.767(0.733,0.801)for the validation group,indicating that the model has good discrimination.The mean absolute error of the calibration curve was 0.044,and the Hosmer-Lemeshow test indicated that there was no significant difference between the predicted probability of abnormal fertilization and the actual probability of abnormal fertilization(P>0.05),indicating the prediction model has good consistency and accuracy.The clinical decision curves and clinical impact curves showed that the model and validation groups had the maximum net clinical benefit at valve probability values of 0.00-0.52 and 0.00-0.48,respectively,and there was a good clinical application efficacy in this valve probability range.To conclude,the nomogram model has good discrimination and accuracy as well as clinical application efficacy for predicting the occurrence of abnormal fertilization in women undergoing conventional in vitro fertilization based on age,microstimulation protocol,number of assisted conceptions,years of infertility,anti-mullerian hormone,and estradiol level on human chorionic gonadotropin injection day.

BACKGROUND:The impact of the endometrium's structure and spiral artery blood flow parameters on the pregnancy rate of artificial insemination by husband remains unclear.This study identified the independent factors and constructed a prediction model with good clinical application efficacy after calibration of other confounding factors. OBJECTIVE:To construct and validate a clinical pregnancy prediction model for artificial insemination by husband based on endometrial structure and uterine spiral artery blood flow parameters. METHODS:A retrospective analysis was conducted on 1 299 patients who underwent artificial insemination by husband treatment at Changzhou Maternal and Child Health Hospital from January 2017 to January 2021.The non-pregnancy group consisted of 1 182 patients,while the pregnancy group included 117 patients.Out of these patients,93 cases were successfully matched between the pregnancy and non-pregnancy groups using a 1∶1 propensity score matching method.Single-factor and multi-factor analyses were used to screen the endometrial structure and uterine spiral artery blood flow parameters to determine their influence on artificial insemination by husband outcomes.The optimal cutoff value was established for each independent influencing factor through receiver operating curve analysis and their risk trend affecting artificial insemination by husband pregnancy outcomes was analyzed using a restricted cubic spline.The clinical efficacy of this combined forecast model was tested by using clinical decision curve and clinical influence curve methods. RESULTS AND CONCLUSION:(1)There was no statistical significance in non-endometrial factors between the pregnancy group and the non-pregnancy group,and the data had a good balance by propensity score matching(P>0.05).(2)Single-factor analysis identified several subendometrial parameters as significant influencing factors of artificial insemination by husband pregnancy outcomes,including vascularization index,flow index,vascular flow index,resistance index,pulsatility index,maximum systolic velocity/end-diastolic velocity,thickness of average junction zone and maximum junction zone from the basal endometrium to the outer myometrium inner layer(P<0.05).(3)Multivariate logistic regression analysis revealed that thickness of average junction zone,pulsatility index,and vascular flow index were independent influencing factors of pregnancy outcomes of artificial insemination by husband,vascular flow index>thickness of average junction zone>pulsatility index.(4)Receiver operating characteristic curve analysis indicated that the area under receiver operating characteristic curve of vascular flow index was 0.704(0.629,0.779),and the optimal cutoff value was 6.26;the area under receiver operating characteristic curve of thickness of average junction zone was 0.660(0.582,0.739),and the optimal cutoff value was 6.38;the area under receiver operating characteristic curve of pulsatility index was 0.642(0.563,0.721),and the optimal cutoff value was 1.18.(5)The restricted cubic spline analysis revealed that artificial insemination by husband pregnancy outcomes were significantly positively affected when the vascular flow index was>6.24 or the thickness of average junction zone was≤6.55 mm,while a negative risk was associated with pulsatility index>1.27.(6)The clinical decision curve and clinical influence curve analyses exhibited that the combined prediction model had the maximum clinical net benefit at the threshold probability value of 0.17-0.93,and the ratio of loss to benefit was consistently less than 1 in the threshold probability range,indicating that the model had good clinical efficacy.(7)It is concluded that after adjusting for other confounding factors outside of the endometrium using propensity score matching and multifactorial logistic regression,the thickness of average junction zone,pulsatility index and vascular flow index were independent factors that influenced pregnancy outcomes of artificial insemination by husband.Through determining their optimal cutoff values and assessing their risk trends,it was confirmed that the combined prediction model had good predictive value and clinical efficacy.