OBJECTIVE To explore the risk factors for postoperative surgical site infection(SSI)in the neurosur-gery department patients undergoing craniocerebral surgeries and establish Nomogram prediction model and verify it.METHODS A total of 1 265 patients who underwent craniocerebral surgeries in neurosurgery department of the First Hospital of Quanzhou City from Jan.2021 to Dec.2022 were recruited as the research subjects.The risk factors for the postoperative SSI were explored by logistic regression model.The Nomogram prediction model was established based on the independent risk factors that were screened by logistic regression analysis,and the model was verified.RESULTS Among 1 265 patients who underwent the craniocerebral surgeries,68 had SSI,with the infection rate of 5.38％.Diabetes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days were the independent risk factors for the postoperative SSI in the patients undergoing craniocerebral surgeries(P＜0.05).The area under the receiver operating characteristic(ROC)curve(AUC)of the established Nomogram pre-diction model was 0.842 in the training group,0.863 in the verification group.the calibration curves were drawn,the goodness of fit of the established Nomogram risk prediction model was assessed by means of Hosmer-Leme-show test;the predicted probability of SSI was highly consistent with the actual probability of infection,with the modeling group(P=0.851),the validation group(P=0.893).CONCLUSIONS The postoperative SSI in the neurosurgery department patients undergoing craniocerebral surgeries is closely associated with the diabe-tes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days.The established Nomogram prediction model has high prediction capability and can accurately assess the risk of SSI in the patients.

OBJECTIVE To explore the risk factors for postoperative surgical site infection(SSI)in the neurosur-gery department patients undergoing craniocerebral surgeries and establish Nomogram prediction model and verify it.METHODS A total of 1 265 patients who underwent craniocerebral surgeries in neurosurgery department of the First Hospital of Quanzhou City from Jan.2021 to Dec.2022 were recruited as the research subjects.The risk factors for the postoperative SSI were explored by logistic regression model.The Nomogram prediction model was established based on the independent risk factors that were screened by logistic regression analysis,and the model was verified.RESULTS Among 1 265 patients who underwent the craniocerebral surgeries,68 had SSI,with the infection rate of 5.38％.Diabetes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days were the independent risk factors for the postoperative SSI in the patients undergoing craniocerebral surgeries(P＜0.05).The area under the receiver operating characteristic(ROC)curve(AUC)of the established Nomogram pre-diction model was 0.842 in the training group,0.863 in the verification group.the calibration curves were drawn,the goodness of fit of the established Nomogram risk prediction model was assessed by means of Hosmer-Leme-show test;the predicted probability of SSI was highly consistent with the actual probability of infection,with the modeling group(P=0.851),the validation group(P=0.893).CONCLUSIONS The postoperative SSI in the neurosurgery department patients undergoing craniocerebral surgeries is closely associated with the diabe-tes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days.The established Nomogram prediction model has high prediction capability and can accurately assess the risk of SSI in the patients.

Objective:To construct a predictive model to assess the risk of severe respiratory syncytial virus infection among children under five years in China, conduct preliminary validation of this model by using external data, and develop an individual risk assessment tool available for their parents.Methods:The admission after RSV infection was used as a marker of severe infection. Based on the evidence of RSV hospitalization-related risk factors and real-world data, such as the prevalence of various risk factors in children under five years old in China, a Monte Carlo-based individual RSV hospitalization risk prediction model for children under five years old was constructed. Taking Suzhou City as an example, the model was externally validated, and an interactive risk prediction tool (RSV HeaRT) was developed on the WeChat mini-program platform.Results:The estimation model showed that in children under five years old in China if the population did not have any risk factors for severe RSV infection, the RSV annual hospitalization rate was 2.2/1 000 (95% CI: 0.9/1 000-7.5/1 000). Based on this baseline hospitalization rate and the prevalence of related risk factors in Suzhou, the model predicted an RSV hospitalization rate of 8.0/1 000 (95% CI: 4.6/1 000-24.4/1 000) for children under five years old annually in Suzhou, which was close to the reported RSV hospitalization rate in literature (10/1 000-20/1 000). In the developed RSV HeaRT WeChat mini-program, target users (such as parents of children) could input basic information, disease history, and social environmental factors of the child into the mini-program, and the tool could provide real-time feedback on the following predicted results: First, the relative risk of hospitalization due to RSV infection in current children compared to general children; Second, the probability of hospitalization due to RSV infection within the next year; Third, the relative risk of adverse outcomes during hospitalization in the event of RSV infection. Conclusion:This study is based on real-world evidence related to RSV hospitalization risk and constructs an RSV hospitalization risk prediction model suitable for Chinese children based on the combination of the current prevalence of risk factors in children under five years old in China. The accuracy of the prediction model results has been preliminarily demonstrated. Based on this design, the RSV HeaRT developed can facilitate parents to evaluate the hospitalization risk of children.

Objective:To construct a predictive model to assess the risk of severe respiratory syncytial virus infection among children under five years in China, conduct preliminary validation of this model by using external data, and develop an individual risk assessment tool available for their parents.Methods:The admission after RSV infection was used as a marker of severe infection. Based on the evidence of RSV hospitalization-related risk factors and real-world data, such as the prevalence of various risk factors in children under five years old in China, a Monte Carlo-based individual RSV hospitalization risk prediction model for children under five years old was constructed. Taking Suzhou City as an example, the model was externally validated, and an interactive risk prediction tool (RSV HeaRT) was developed on the WeChat mini-program platform.Results:The estimation model showed that in children under five years old in China if the population did not have any risk factors for severe RSV infection, the RSV annual hospitalization rate was 2.2/1 000 (95% CI: 0.9/1 000-7.5/1 000). Based on this baseline hospitalization rate and the prevalence of related risk factors in Suzhou, the model predicted an RSV hospitalization rate of 8.0/1 000 (95% CI: 4.6/1 000-24.4/1 000) for children under five years old annually in Suzhou, which was close to the reported RSV hospitalization rate in literature (10/1 000-20/1 000). In the developed RSV HeaRT WeChat mini-program, target users (such as parents of children) could input basic information, disease history, and social environmental factors of the child into the mini-program, and the tool could provide real-time feedback on the following predicted results: First, the relative risk of hospitalization due to RSV infection in current children compared to general children; Second, the probability of hospitalization due to RSV infection within the next year; Third, the relative risk of adverse outcomes during hospitalization in the event of RSV infection. Conclusion:This study is based on real-world evidence related to RSV hospitalization risk and constructs an RSV hospitalization risk prediction model suitable for Chinese children based on the combination of the current prevalence of risk factors in children under five years old in China. The accuracy of the prediction model results has been preliminarily demonstrated. Based on this design, the RSV HeaRT developed can facilitate parents to evaluate the hospitalization risk of children.

To solve the problems such as decentralized management of transportation needs and personnel, a tertiary hospital launched an intelligent scheduling management information system for " one-stop" transportation service in March 2022, which included the business layer, data layer, and control layer. The system used graph neural network algorithm to train multi feature transportation service data and established an artificial intelligence model for transportation service scheduling, which was used to assist the hospital transportation command center in intelligent scheduling, achieving unified application, task scheduling, process control, and personnel assessment of hospital transportation services.The coverage of transportation services had increased from 188 departments before the system online (March 2021 to February 2022) to 268 departments after the system online (March 2022 to February 2023), as well as the service types and the per capita efficiency coefficient of transportation personnel had increased from 36 categories and 4 086.53 orders/person to 52 categories and 5 839.83 orders/person, respectively. This system met the growing demand for hospital transportation services, improved the level of transportation scheduling management and user satisfaction, which could provide references for other hospitals to promote intelligent management of transportation services.

Objective:To investigate the effect of early selective reduction of twin pregnancies or spontaneous reduction on the improvement of clinical outcome in IVF-ET treatment.Methods:The clinical data of 6535 cycles(6535 cases)of single or twin pregnancy obtained from fresh and frozen-thawed embryo transfer(FET)of IVF or ICSI-ET in the Department of Reproductive Medicine,Women and Children's Hospital Affiliated to Xiamen Univer-sity from November 2011 to December2021 were analyzed retrospectively,The propensity score matching(PSM)method(1∶4)was used to include the study subjects.The surgical reduction group and the spontaneous single-ton group were included in 128 cycles and 510 cycles,respectively.The spontaneous reduction group and the ini-tial singleton group were included in 511 cycles and 2038 cycles,respectively.The pregnancy outcomes of each groups were compared.Results:After PSM,the number of transferred embryos in the surgical and spontaneous reduction group was higher than that in the initial singleton group.The gestational week of delivery was earlier than that of the initial singleton group,and the birth weight of the newborn was lower than that in the initial single-ton group.The rate of premature delivery and low birth weight was higher than that in the initial singleton group,and the difference was statistically significant(P＜0.05).The incidence of pregnancy complications(postpartum hemorrhage,gestational diabetes,hypertensive disorders of pregnancy)and the rate of cesarean section were not significantly different(P＞0.05).The abortion rate and neonatal birth defect rate were missing after adjusting the PSM model.According to the calculation before adjustment,the early abortion rate of the surgical reduction group and the spontaneous reduction group were significantly lower than that in the initial singleton group(P＜0.05),and the late abortion rate of the spontaneous reduction group was lower than that in the initial singleton group,the difference was statistically significant(P＜0.05).There was no significant difference in the neonatal birth defect rate between the surgical/spontaneous reduction group and the initial singleton group(P＞0.05).Conclusions:Patients with multiple pregnancies caused by assisted reproductive technology(ART)may have a relatively poor prognosis in the perinatal period even if the effect of early pregnancy reduction surgery or spontaneous reduction is limited.Reducing the number of embryos transferred cannot completely reverse the pregnancy outcome.Limiting the number of embryos transferred is the fundamental solution to the adverse outcomes of ART assisted pregnancy.

Objective:To investigate the effects of oocyte maturation trigger using follicle-stimulating hormone (FSH) plus human chorionic gonadotropin (hCG) on clinical outcomes of in vitro fertilization/intracytoplasmic sperm injection and embryo transfer (IVF/ICSI-ET) in gonadotropin-releasing hormone agonist (GnRH-a) cycles. Methods:The retrospective cohort study included 682 patients aged up to 40 years with normal ovarian response who underwent IVF/ICSI-ET at Department of Reproductive Medicine, Women and Children's Hospital, Xiamen University School of Medicine between Feburary 2016 and April 2017. Patients were grouped by whether oocyte maturation was triggered with 250 μg recombinant hCG (r-hCG) plus 300 U urinary FSH (uFSH, dual trigger group, n=439) or 250 μg r-hCG alone (r-hCG group, n=243). The main observation indexes were the clinical pregnancy rate and the live birth rate, and the secondary observation indexes were the high-quality embryo rate, the implantation rate, the biochemical pregnancy rate, the abortion rate, etc. Results:There were no statistically significant differences between the two groups in age, infertility duration, body mass index (BMI), anti-Müllerian hormone (AMH), total dosage and duration of gonadotropin (Gn) used, number of embryos transferred (all P>0.05). The live birth rate, the clinical pregnancy rate, the miscarriage rate, the normal fertilization rate, the cleavage rate, the embryo formation rate and the high-quality embryo rate were not significantly different between the two groups (all P>0.05). The implantation rate [40.47% (191/472)] and the biochemical pregnancy rate [64.20% (156/243)] were higher in dual trigger group than in r-hCG group [32.42% (272/893), P=0.003; 55.35% (272/893), P=0.025]. Conclusion:Dual trigger of oocyte maturation with 250 μg r-hCG plus 300 U uFSH has no benefit on the clinical pregnancy rate and the live birth rate, but could improve the implantation rate and the biochemical pregnancy rate in women undergoing short-acting GnRH-a protocol in IVF/ICSI-ET.

Objective:To investigate the effects of oocyte maturation trigger using follicle-stimulating hormone (FSH) plus human chorionic gonadotropin (hCG) on clinical outcomes of in vitro fertilization/intracytoplasmic sperm injection and embryo transfer (IVF/ICSI-ET) in gonadotropin-releasing hormone agonist (GnRH-a) cycles. Methods:The retrospective cohort study included 682 patients aged up to 40 years with normal ovarian response who underwent IVF/ICSI-ET at Department of Reproductive Medicine, Women and Children's Hospital, Xiamen University School of Medicine between Feburary 2016 and April 2017. Patients were grouped by whether oocyte maturation was triggered with 250 μg recombinant hCG (r-hCG) plus 300 U urinary FSH (uFSH, dual trigger group, n=439) or 250 μg r-hCG alone (r-hCG group, n=243). The main observation indexes were the clinical pregnancy rate and the live birth rate, and the secondary observation indexes were the high-quality embryo rate, the implantation rate, the biochemical pregnancy rate, the abortion rate, etc. Results:There were no statistically significant differences between the two groups in age, infertility duration, body mass index (BMI), anti-Müllerian hormone (AMH), total dosage and duration of gonadotropin (Gn) used, number of embryos transferred (all P>0.05). The live birth rate, the clinical pregnancy rate, the miscarriage rate, the normal fertilization rate, the cleavage rate, the embryo formation rate and the high-quality embryo rate were not significantly different between the two groups (all P>0.05). The implantation rate [40.47% (191/472)] and the biochemical pregnancy rate [64.20% (156/243)] were higher in dual trigger group than in r-hCG group [32.42% (272/893), P=0.003; 55.35% (272/893), P=0.025]. Conclusion:Dual trigger of oocyte maturation with 250 μg r-hCG plus 300 U uFSH has no benefit on the clinical pregnancy rate and the live birth rate, but could improve the implantation rate and the biochemical pregnancy rate in women undergoing short-acting GnRH-a protocol in IVF/ICSI-ET.

Objective : To explore the effects of the nerve growth factor neutralizing antibody ( anti⁃NGF) and γ⁃secretase inhibitor 3,5⁃difluorophenylacetyl⁃L⁃alanyl⁃S⁃ph ⁃enylglycine⁃t⁃butyl ester (DAPT) on the nuclear expression of p75 neurotrophin receptor (p75NTR ) in esophageal cancer Eca109 cells and on cell proliferation and invasion. Methods : Immunofluorescence cytochemistry was used to detect the expression changes of p75NTR and Ki6 in Eca109 cells before and after treatment with the anti⁃NGF and γ⁃secretase inhibitor DAPT; CCK⁃8 kit and Transwell cell invasion experiment were used to detect the changes of cell proliferation and invasion ability before and after treatment of Eca109 cells with the anti⁃NGF and γ⁃secretase inhibitor DAPT alone or in combination. Results: Immunofluorescence cytochemistry showed that after treatment of cells with the anti⁃NGF and γ⁃secretase inhibitor DAPT, the number of cells expressing p75NTR in the nucleus decreased, and after the combined treatment of cells with the anti⁃NGF and γ⁃secretase inhibitor DAPT, the number of cells expressing p75NTR in the nucleus was the least, and the difference was statistically significant (P < 0. 05); CCK⁃8 method and Transwell cell invasion experiment showed that after treatment of cells with the anti⁃NGF and γ⁃secretase inhibitor DAPT, cell proliferation and invasion ability were correspondingly weaker than those before treatment, and the difference was statistically significant (P < 0. 05) . Conclusion The anti⁃NGF and γ⁃secretase inhibitor DAPT not only inhibit the nuclear transfer of p75NTR , but also reduce the nuclear expression rate of p75NTR and weaken the cell proliferation and invasion ability accordingly.

Objective To assess the left ventricular systolic function (LVSF) in patients with implanted dual-chamber(DDD) mode cardiac pacemakers using Two-dimensional Echocardiography (2DE),Real-time Tri-plane Echocardiography (RT-3PE)and Full-volume Three Dimensional Echocardiography (FV-3DE).Methods A total of 30 patients with DDD mode cardiac pacemaker were ex-amined by 2DE, RT-3PE and FV-3DE separately.Left ventricle end diastolic volume (LVEDV), left ventricle end systolic volume (LVESV), and ejection fraction (EF) were measured and compared within the three methods above .Results The measurement of EF with patients of post-operation was higher than the patients of pre-operation.The measurements of EF with 2DE were higher than RT-3PE.The measurements of LVEDV , LVESV and SV with 2DE and RT-3PE were lower than FV-3DE, and EF was higher .There were statistically significant differences in above measurements ( P <0.05 ) .But there were no statistically significant differences in measurements of LVEDV and LVESV between 2DE and RT-3DE ( P >0.05).Conclusions Implanting DDD mode cardiac pace-maker can evaluate LVSF of patients obviously .FV-3DE can evaluate LVSF in patients with DDD mode cardiac pacemaker accurately . The LVEDV, LVESV and SV are underestimated by 2DE and RT-3PE, and EF is overestimated by 2DE and RT-3PE.