1.Grasping the Chance of Undergraduate Course Teaching Evaluation,Improving the Teaching Quality of Lemology Class
Wu LI ; Xuehui HUANG ; Xiaojuan WU ; Yongmei YANG ; Ruidong YANG ; Chunmei CHAO
Journal of Kunming Medical University 2007;0(S2):-
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.
2.The clinical characteristics and risk factors of cerebral venous sinus thrombosis complicated by cerebral hemorrhage
Zhang JIAN ; Shi CHUNMEI ; Zhou CHUNYAN ; Xing SHIHUI ; Li CHUO ; Li JINGJING ; Ou ZILIN ; Hongchen BING ; Tan SHUANGQUAN ; Dang CHAO ; Liu GANG ; Zeng JINSHENG
Chinese Journal of Nervous and Mental Diseases 2015;(8):455-459
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.
3. Application of contrast enhanced ultrasound in TN staging of pancreas cancer: comparison with contrast enhanced computed tomography
Zimei LIN ; Qing WEN ; Yongyuan XU ; Chao ZHANG ; Caoxin YAN ; Guoqiang MO ; Minqiang PAN ; Chunmei LIU ; Pintong HUANG
Chinese Journal of Ultrasonography 2018;27(7):614-617
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,
4.Establishment and validation of embryo high-quality prediction models based on the third-day 340 nm absorbance embryo culture
Chao ZHOU ; Guangyu YU ; Jiaqi FAN ; Chunmei YU ; Min WU ; Shibei CHEN
Chinese Journal of Tissue Engineering Research 2024;28(7):1050-1056
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.
5.Construction of nomogram and validation of clinical prediction model for high-quality blastocyst formation in patients with unexplained infertility
Chao ZHOU ; Yueyuan JIANG ; Guangyu YU ; Chunmei YU
Chinese Journal of Tissue Engineering Research 2024;28(13):2090-2097
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.
6.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
7.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
8.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
9.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.
10.Risk Factors and Interation Analysis of Monozygotic Twins Following IVF-ET
Chao ZHOU ; Guangyu YU ; Leilei GAO ; Chunmei YU
Journal of Practical Obstetrics and Gynecology 2024;40(5):386-391
Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P<0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95%CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95%CI 1.354-5.145),and HCG day E2 level(OR 1.783,95%CI 1.033-3.077)were independent risk factors for monozygotic twins(P<0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)>frozen-thawed embryo transfer(6.54)>HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95%CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95%CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95%CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.