Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective To construct a model for predicting recidivism in violence in community-based schizophrenia spectrum disorder patients(SSDP)by adopting a joint modeling method.Methods Based on the basic data on severe mental illness in Southwest China between January 2017 and June 2018,4565 community-based SSDP with baseline violent behaviors were selected as the research subjects.We used a growth mixture model(GMM)to identify patterns of medication adherence and social functioning.We then fitted the joint model using a zero-inflated negative binomial regression model and compared it with traditional static models.Finally,we used a 10-fold training-test cross validation framework to evaluate the models'fitting and predictive performance.Results A total of 157 patients(3.44%)experienced recidivism in violence.Medication compliance and social functioning were fitted into four patterns.In the counting model,age,marital status,educational attainment,economic status,historical types of violence,and medication compliance patterns were predictive factors for the frequency of recidivism of violence(P＜0.05).In the zero-inflated model,age,adverse drug reactions,historical types of violence,medication compliance patterns,and social functioning patterns were predictive factors for the recidivism in violence(P＜0.05).For the joint model,the average value of Akaike information criterion(AIC)for the train set was 776.5±9.4,the average value of root mean squared error(RMSE)for the testing set was 0.168±0.013,and the average value of mean absolute error(MAE)for the testing set was 0.131±0.018,which were all lower than those of the traditional static models.Conclusion Joint modeling is an effective statistical strategy for identifying and processing dynamic variables,exhibiting better predictive performance than that of the traditional static models.It can provide new ideas for promoting the construction of comprehensive intervention systems.

Objective To investigate the status of medication adherence and various types of risky behaviors of schizophrenia patients in a certain area of western China and to explore accordingly the correlation between the two.Methods A total of 292 667 patients with schizophrenia were enrolled in a follow-up survey between 2006 and 2018.In addition,based on the outcome-wide analysis strategy,a multivariate Cox proportional risk regression model was used to estimate and compare the impact of medication adherence on different types of risky behaviors in schizophrenia patients.Results In this 13-year prospective cohort,65 175 patients(31.4％)showed good medication adherence,while 142 394 patients(68.6％)showed poor medication adherence.The incidence rates of various risky behaviors during the follow-up period were as follows,minor nuisances,12.25％,violation of the Law of the People's Republic of China on Penalties for Administration of Public Security(APS law),3.82％,violation of criminal law,0.94％,suicide completed,0.28％,self-harm,1.42％,and attempted suicide,0.82％.Schizophrenia patients who had poor medication adherence had higher risks of committing violence against others and self-inflicted injury compared to patients with good medication adherence did,with the associated effects being minor nuisances(hazard ratio[HR]=1.31,95％confidence interval[CI]:1.27-1.35),violation of APS law(HR=1.47,95％CI:1.38-1.56),violation of criminal law(HR=1.17,95％CI:1.05-1.31),and self-harm(HR=1.43,95％CI:1.32-1.56),respectively,while the risk of suicide completed is lower in schizophrenia patients with poor medication adherence than that in patients with good medication adherence(HR=0.56,95％CI:0.47-0.66).There was no statistically significant association between attempted suicide and medication adherence.Conclusion There are variations in the direction and strength of the association between medication adherence and different types of risky behaviors and further research is needed to elucidate the mechanisms of the association.