Objective To construct a symptom network in patients with acute type A aortic dissection(ATAAD),so as to provide theoretical basis for the screening of dissection ATAAD during emergency pre-screening triage.Methods There were 433 patients diagnosed with ATAAD during 2019 to 2023 in an emergency department of a tertiary hospital in Wuhan.Their basic information and medical records were reviewed by self-designed data questionnaire.UCINET6.0 software was used to construct a symptom network,analyze the centrality index and determine the core symptoms.Symptom distribution of patients with positive and negative blood pressure in extremities was analyzed in the further.Results The most common symptoms in patients with type A aortic dissection were chest pain(77.37％),back pain(42.96％),and sweating(29.79％).In the symptom network,chest pain had the highest degree(rs=659).The closeness of chest pain,chest tightness,shortness of breath,back pain,nausea and vomiting,limb numbness and fatigue were same(rc=93.33).Fatigue has the highest betweenness(rb=13.69).Patients with positive limbs blood pressure mainly reported chest pain(70.17％),back pain(44.96％),and nausea and vomiting(19.33％),while those with negative limb blood pressure mainly reported chest pain(63.64％),back pain(63.64％),and orosphyalgia(39.40％).Orosphyalgia had the highest degree(rs=20).Conclusion The symptoms of ATAAD are complex and varied in patients.During triage,nurses should measure the limb blood pressure when patients complained chest pain alone or when combined with other hypoperfusion symptoms,such as back pain,chest tightness,sweating,near-death sensation,and shortness of breath.Aortic dissection cannot be ruled out in patients with negative blood pressure when they had chest pain,back pain or orosphyalgia.

Objective:To investigate the clinical characteristics and prognosis of fetuses with HNF1B gene variants. Methods:Fifty-two fetuses with HNF1B gene variants diagnosed by chromosomal copy number variation sequencing and/or whole exome sequencing at the First Affiliated Hospital of Zhengzhou University from January 2018 to June 2024 were retrospectively enrolled in this study, including 47 cases of 17q12 microdeletion and five cases of HNF1B point mutations. Prenatal ultrasound features, pregnancy outcomes, and postnatal manifestations were summarized and analyzed using descriptive statistics. Results:The prenatal ultrasound features of the 52 fetuses included enhanced renal parenchymal echo in 43 cases (82.7%), renal cysts in 15 cases (28.8%), enlarged kidney volume in 14 cases (26.9%), and pyelectasis in 13 cases (25.0%). Parental verification was completed for 35 cases, with 71.4% (25/35) being de novo mutations and 28.6% (10/35) inherited from either parent. Apart from eight cases with unknown pregnancy outcome (six cases were lost to follow-up, two cases refused to be followed up), the other 44 cases were successfully followed up, among which 68.2% (30/44) terminated the pregnancies and 31.8% (14/44) continued, resulting in live births. Prenatal ultrasound indicated renal abnormalities in all 14 live births, while postnatal follow-up showed seven cases with normal kidneys, one with reduced bilateral renal cysts, one with alleviated bilateral pyelectasis, four with unimproved renal structural abnormalities, and one who did not undergo a re-examination. Conclusion:The rate of renal abnormalities diagnosed by prenatal ultrasound in fetuses with HNF1B gene variants is high, and most of the pregnancies are terminated, although the renal sturctural abnormalities may improve after birth.

Objective:To explore the effectiveness, safety, and cost among urinary follicle-stimulating hormone (u-FSH), recombinant FSH (r-FSH)α, and r-FSHβ in the early follicular phase prolonged protocol for patients under 35 years old with normal ovarian function.Methods:It was a retrospective cohort study. Patients under 35 years old with normal ovarian function who underwent early follicular phase prolonged protocol for ovulation stimulation and using in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) for fertilization in Reproductive Health Hospital of the Third Affiliated Hospital of Zhengzhou University from January 2018 to December 2023 were recruited, including the fresh and frozen-thawed embryo transfer (FET) cycles. Patients were divided into u-FSH group, r-FSHα group, and r-FSHβ group. A total of 1 048 ovarian stimulation cycles were included, with 150 cycles, 490 cycles and 408 cycles in the three groups respectively. A total of 710 FET cycles with fresh cycle cancellation were included, with 95 cycles, 320 cycles and 295 cycles in the three groups respectively. The baseline data, pregnancy outcomes, safety, and cost were compared among the three groups. The main observation indicators were cumulative pregnancy rate and cumulative live birth rate (CLBR). A binary logistic regression model was used to control confounding factors, and to analyze the relationship between three ovulation inducing medicine and CLBR. Results:The difference in the number of oocytes retrieved among the u-FSH group, r-FSHα group, and r-FSHβ group was statistically significant [13.0 (10.0, 16.0), 14.0 (11.0, 18.0), 15.0 (11.0, 19.0), respectively, P=0.012], and the difference in the number of 2PN embryos was statistically significant [9.0 (6.0, 12.0), 10.0 (7.0, 13.0), 10.0 (7.0, 13.0), respectively, P=0.046]. There were no statistically significant differences in the number of available embryos, available embryo rate, the number of high-quality embryos, high-quality embryo rate, available blastocyst formation rate, fresh cycle clinical pregnancy rate, live birth rate in fresh cycle, cumulative pregnancy rate of frozen embryos with fresh cycle cancellation, CLBR of frozen embryos with fresh cycle cancellation, cumulative clinical pregnancy rate, CLBR, moderate to severe ovarian hyperstimulation syndrome incidence, ectopic pregnancy rate, multiple pregnancy rate and neonatal malformation rate among the three groups (all P>0.05). In terms of economy, the u-FSH group had the lowest total gonadotropin cost for each patient, while the r-FSHα group had the highest. The differences among the three groups were statistically significant [u-FSH group 4 429.08 (3 198.78, 5 044.23) yuan, r-FSHα group 6 023.72 (5 433.75, 7 529.65) yuan, r-FSHβ group 5 480.00 (4 550.90, 6 437.86) yuan, P<0.001]. Binary logistic regression analysis was conducted, using u-FSH as a control. The CLBR of the r-FSHα group and r-FSHβ group showed no statistically significant difference compared with the u-FSH group (a OR=0.95, 95% CI: 0.57-1.58, P=0.838; a OR=0.89, 95% CI: 0.54-1.48, P=0.654). Conclusion:For patients under 35 years old with normal ovarian function undergoing long protocol ovarian stimulation, the effectiveness and safety of the three ovarian-stimulating medicine are similar, but u-FSH has economic advantages.

Objective:To explore the effectiveness, safety, and cost among urinary follicle-stimulating hormone (u-FSH), recombinant FSH (r-FSH)α, and r-FSHβ in the early follicular phase prolonged protocol for patients under 35 years old with normal ovarian function.Methods:It was a retrospective cohort study. Patients under 35 years old with normal ovarian function who underwent early follicular phase prolonged protocol for ovulation stimulation and using in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) for fertilization in Reproductive Health Hospital of the Third Affiliated Hospital of Zhengzhou University from January 2018 to December 2023 were recruited, including the fresh and frozen-thawed embryo transfer (FET) cycles. Patients were divided into u-FSH group, r-FSHα group, and r-FSHβ group. A total of 1 048 ovarian stimulation cycles were included, with 150 cycles, 490 cycles and 408 cycles in the three groups respectively. A total of 710 FET cycles with fresh cycle cancellation were included, with 95 cycles, 320 cycles and 295 cycles in the three groups respectively. The baseline data, pregnancy outcomes, safety, and cost were compared among the three groups. The main observation indicators were cumulative pregnancy rate and cumulative live birth rate (CLBR). A binary logistic regression model was used to control confounding factors, and to analyze the relationship between three ovulation inducing medicine and CLBR. Results:The difference in the number of oocytes retrieved among the u-FSH group, r-FSHα group, and r-FSHβ group was statistically significant [13.0 (10.0, 16.0), 14.0 (11.0, 18.0), 15.0 (11.0, 19.0), respectively, P=0.012], and the difference in the number of 2PN embryos was statistically significant [9.0 (6.0, 12.0), 10.0 (7.0, 13.0), 10.0 (7.0, 13.0), respectively, P=0.046]. There were no statistically significant differences in the number of available embryos, available embryo rate, the number of high-quality embryos, high-quality embryo rate, available blastocyst formation rate, fresh cycle clinical pregnancy rate, live birth rate in fresh cycle, cumulative pregnancy rate of frozen embryos with fresh cycle cancellation, CLBR of frozen embryos with fresh cycle cancellation, cumulative clinical pregnancy rate, CLBR, moderate to severe ovarian hyperstimulation syndrome incidence, ectopic pregnancy rate, multiple pregnancy rate and neonatal malformation rate among the three groups (all P>0.05). In terms of economy, the u-FSH group had the lowest total gonadotropin cost for each patient, while the r-FSHα group had the highest. The differences among the three groups were statistically significant [u-FSH group 4 429.08 (3 198.78, 5 044.23) yuan, r-FSHα group 6 023.72 (5 433.75, 7 529.65) yuan, r-FSHβ group 5 480.00 (4 550.90, 6 437.86) yuan, P<0.001]. Binary logistic regression analysis was conducted, using u-FSH as a control. The CLBR of the r-FSHα group and r-FSHβ group showed no statistically significant difference compared with the u-FSH group (a OR=0.95, 95% CI: 0.57-1.58, P=0.838; a OR=0.89, 95% CI: 0.54-1.48, P=0.654). Conclusion:For patients under 35 years old with normal ovarian function undergoing long protocol ovarian stimulation, the effectiveness and safety of the three ovarian-stimulating medicine are similar, but u-FSH has economic advantages.

Objective To construct a symptom network in patients with acute type A aortic dissection(ATAAD),so as to provide theoretical basis for the screening of dissection ATAAD during emergency pre-screening triage.Methods There were 433 patients diagnosed with ATAAD during 2019 to 2023 in an emergency department of a tertiary hospital in Wuhan.Their basic information and medical records were reviewed by self-designed data questionnaire.UCINET6.0 software was used to construct a symptom network,analyze the centrality index and determine the core symptoms.Symptom distribution of patients with positive and negative blood pressure in extremities was analyzed in the further.Results The most common symptoms in patients with type A aortic dissection were chest pain(77.37％),back pain(42.96％),and sweating(29.79％).In the symptom network,chest pain had the highest degree(rs=659).The closeness of chest pain,chest tightness,shortness of breath,back pain,nausea and vomiting,limb numbness and fatigue were same(rc=93.33).Fatigue has the highest betweenness(rb=13.69).Patients with positive limbs blood pressure mainly reported chest pain(70.17％),back pain(44.96％),and nausea and vomiting(19.33％),while those with negative limb blood pressure mainly reported chest pain(63.64％),back pain(63.64％),and orosphyalgia(39.40％).Orosphyalgia had the highest degree(rs=20).Conclusion The symptoms of ATAAD are complex and varied in patients.During triage,nurses should measure the limb blood pressure when patients complained chest pain alone or when combined with other hypoperfusion symptoms,such as back pain,chest tightness,sweating,near-death sensation,and shortness of breath.Aortic dissection cannot be ruled out in patients with negative blood pressure when they had chest pain,back pain or orosphyalgia.

Objective:To investigate the clinical characteristics and prognosis of fetuses with HNF1B gene variants. Methods:Fifty-two fetuses with HNF1B gene variants diagnosed by chromosomal copy number variation sequencing and/or whole exome sequencing at the First Affiliated Hospital of Zhengzhou University from January 2018 to June 2024 were retrospectively enrolled in this study, including 47 cases of 17q12 microdeletion and five cases of HNF1B point mutations. Prenatal ultrasound features, pregnancy outcomes, and postnatal manifestations were summarized and analyzed using descriptive statistics. Results:The prenatal ultrasound features of the 52 fetuses included enhanced renal parenchymal echo in 43 cases (82.7%), renal cysts in 15 cases (28.8%), enlarged kidney volume in 14 cases (26.9%), and pyelectasis in 13 cases (25.0%). Parental verification was completed for 35 cases, with 71.4% (25/35) being de novo mutations and 28.6% (10/35) inherited from either parent. Apart from eight cases with unknown pregnancy outcome (six cases were lost to follow-up, two cases refused to be followed up), the other 44 cases were successfully followed up, among which 68.2% (30/44) terminated the pregnancies and 31.8% (14/44) continued, resulting in live births. Prenatal ultrasound indicated renal abnormalities in all 14 live births, while postnatal follow-up showed seven cases with normal kidneys, one with reduced bilateral renal cysts, one with alleviated bilateral pyelectasis, four with unimproved renal structural abnormalities, and one who did not undergo a re-examination. Conclusion:The rate of renal abnormalities diagnosed by prenatal ultrasound in fetuses with HNF1B gene variants is high, and most of the pregnancies are terminated, although the renal sturctural abnormalities may improve after birth.

AIM:To rapidly evaluate the effective-ness,safety and economy of dienogest in the treat-ment of endometriosis so as to provide evidence-based reference for clinical drug selection and deci-sion.METHODS:Retrieved from PubMed,Embase,Cochrane Library,CNKI,SinoMed,Wanfang and health technology assessment(HTA)organization websites,HTA report,systematic review/Meta-anal-ysis and pharmacoeconomic study were included during the inception to Sep 2023.Data extraction and quality evaluation were carried out for the lit-erature that met the inclusion and exclusion crite-ria,and the research results were summarized and analyzed qualitatively.RESULTS:Nine systematic re-view/Meta-analyses,and 2 pharmacoeconomic studies were included.The quality of Meta-analysis literatures was low,and the quality of economic re-search was good.In terms of effectiveness,com-pared with no treatment,dienogest can significant-ly reduce postoperative recurrence rate,VAS score,and improve pregnancy rate and effective rate;Di-enogest has similar therapeutic effects in terms of recurrence rate as GnRHa and COC;With regard to recurrence rate and pregnancy rate,dienogest is superior to danazol,gestrinone,and mifepristone.In terms of safety,compared with placebo,the inci-dence of vaginal bleeding and headache was signifi-cantly increased with dienogest,and there was no difference in bone loss;The incidence of vaginal bleeding caused by dienogest was significantly high-er than that of GnRHa,but the incidence of hot flashes and bone loss was lower.In terms of econo-my,dienogest has a more cost-effective advantage comparing with GnRHa,but does not have econom-ic benefits comparing with COC.CONCLUSION:Di-enogest has good effectiveness and safety in the treatment of endometriosis,and economically su-perior to GnRHa,but inferior to COC.

BACKGROUND:Tyrosine kinase inhibitors,as well as other types of small-molecule cancer drugs,can cause severe cardiotoxicity. OBJECTIVE:To perform a heart safety re-evaluation by observing the effects of antitumor drugs on isolated heart electrocardiograph,cardiac action potential and associated ion channels and cytotoxicity. METHODS:Extracorporeal cardiac perfusion was given to the isolated rabbit heart using Langendorff perfusion:Sunitinib(0.3,3,10 μmol/L),Crizotinib(0.3,1,3 μmol/L),and Doxorubicin(1,30 μmol/L)were perfused sequentially for 120 minutes to record electrocardiograph and left ventricular pressure.A blank control group was set for comparison.Manual patch clamp was used to record the effects of Crizotinib,Sunitinib,Doxorubicin on hERG,Cav1.2,Nav1.5 channel currents and action potential in human induced pluripotent stem cell derived cardiomyocytes.Adenosine triphosphate level in human induced pluripotent stem cell derived cardiomyocytes was detected by CellTiter-Glo luminescent cell viability assay. RESULTS AND CONCLUSION:Isolated rabbit heart using Langendorff perfusion:Compared with the blank ontrol group,Sunitinib and Crizotinib at≥3 μmol/L decreased heart rate(P<0.01)and prolonged QT/QTc interval(P<0.01),and reduced left ventricular pressure to different extents.Manual patch clamp recording:Compared with the blank control group,Sunitinib and Crizotinib at 3 μmol/L inhibited the activities of hERG,Nav1.5 and Cav1.2 channels and significantly prolonged the duration of action potential(P<0.01).According to the analysis of the test article,the difference between the labeled concentration and the measured concentration of the recovered solution was not significant.Cell viability assays:Compared with the blank control group,adenosine triphosphate content in human induced pluripotent stem cell derived cardiomyocytes significantly decreased after treatment with Sunitinib(IC50=4.64 μmol/L),Doxorubicin(IC50=4.21 μmol/L)and Crizotinib(IC50=2.87 μmol/L),indicating that cell viability significantly decreased(P<0.01).To conclude,this study successfully established an early cardiac safety evaluation method for antitumor drugs,which provides good support and help for the subsequent development of antitumor drugs.

Objective:To evaluate the efficacy of magnetic resonance imaging (MRI) diagnostic model of perianal fistulizing Crohn′s disease (pfCD) based on deep convolutional neural networks (DCNN) .Methods:A restrospective study was conducted. The patients with pfCD of initial diagnosis ( n = 200) and the patients with cryptoglandular anal fistula (CAF) of initial diagnosis ( n = 200) were enrolled randomly in the Sixth Affiliated Hospital of Sun Yat-sen University from January 2014 to December 2019. The patients were assigned to the training, validation and test sets at a ratio of 8∶1∶1 in each group. The anal MRI images of all the patients were collected and preprocessed to enhance the quality of images. Using the Pytorch deep learning framework and Windows 10 computer operating system, the MRI diagnostic model of pfCD and CAF was constructed based on 4 DCNNs (MobileNetV2, VGG11, ResNet18 and ResNet34) . Each model was divided into transfer learning (T) and untransfer learning (U) types based on whether it incorporated transfer learning strategy. First, the image data of training set (160 pfCD and 160 CAF patients, a total of 78 321 MRI images) was input, and the training was iterated to minimize the loss. Then the best training model was selected based on the results of the validation set (20 pfCD and 20 CAF patients, a total of 9697 MRI images) . Finally, diagnostic efficacy was evaluated on the test set (20 pfCD and 20 CAF patients, a total of 9260 MRI images) . The receiver operating characteristic (ROC) curve for each model was drawn and the area under the curve (AUC) was calculated. The DeLong test was used to compare the difference in AUCs among different models and between models and radiologists with different seniorities. Results:The efficacy of 4 models based on DCNN were MobileNetV2-T (AUC = 0.943, 95% CI: 0.820-0.991) , VGG11-T (AUC = 0.935, 95% CI: 0.810-0.988) , ResNet18-T (AUC = 0.920, 95% CI: 0.789-0.988) , ResNet34-T (AUC = 0.929, 95% CI: 0.801-0.986) , respectively. The AUCs of the 4 models combined with transfer learning strategy were higher than that of junior radiologist (all P<0.05) , and there was no significant difference in AUCs between 4 models with transfer learning strategy and senior radiologist (all P>0.05) . Conclusion:The construction of diagnostic model of pfCD is feasible by using deep learning technology based on DCNN, transfer learning strategy and high-resolution anal MRI images.

Objective:To evaluate the efficacy of magnetic resonance imaging (MRI) diagnostic model of perianal fistulizing Crohn′s disease (pfCD) based on deep convolutional neural networks (DCNN) .Methods:A restrospective study was conducted. The patients with pfCD of initial diagnosis ( n = 200) and the patients with cryptoglandular anal fistula (CAF) of initial diagnosis ( n = 200) were enrolled randomly in the Sixth Affiliated Hospital of Sun Yat-sen University from January 2014 to December 2019. The patients were assigned to the training, validation and test sets at a ratio of 8∶1∶1 in each group. The anal MRI images of all the patients were collected and preprocessed to enhance the quality of images. Using the Pytorch deep learning framework and Windows 10 computer operating system, the MRI diagnostic model of pfCD and CAF was constructed based on 4 DCNNs (MobileNetV2, VGG11, ResNet18 and ResNet34) . Each model was divided into transfer learning (T) and untransfer learning (U) types based on whether it incorporated transfer learning strategy. First, the image data of training set (160 pfCD and 160 CAF patients, a total of 78 321 MRI images) was input, and the training was iterated to minimize the loss. Then the best training model was selected based on the results of the validation set (20 pfCD and 20 CAF patients, a total of 9697 MRI images) . Finally, diagnostic efficacy was evaluated on the test set (20 pfCD and 20 CAF patients, a total of 9260 MRI images) . The receiver operating characteristic (ROC) curve for each model was drawn and the area under the curve (AUC) was calculated. The DeLong test was used to compare the difference in AUCs among different models and between models and radiologists with different seniorities. Results:The efficacy of 4 models based on DCNN were MobileNetV2-T (AUC = 0.943, 95% CI: 0.820-0.991) , VGG11-T (AUC = 0.935, 95% CI: 0.810-0.988) , ResNet18-T (AUC = 0.920, 95% CI: 0.789-0.988) , ResNet34-T (AUC = 0.929, 95% CI: 0.801-0.986) , respectively. The AUCs of the 4 models combined with transfer learning strategy were higher than that of junior radiologist (all P<0.05) , and there was no significant difference in AUCs between 4 models with transfer learning strategy and senior radiologist (all P>0.05) . Conclusion:The construction of diagnostic model of pfCD is feasible by using deep learning technology based on DCNN, transfer learning strategy and high-resolution anal MRI images.