Aiming at the problems such as lack of overall planning,different caliber of indicators,repetitive con-struction of indicators and low work efficiency,the index data management system of medical institutions is built based on the Data Management Capability Maturity Model.The three-level indicator management system model is constructed,the unified coding rules of the indicator system is formulated,the indicator management process is sorted out,the indicator management platform is built,and the standard norms for the indicator management of medical institutions are formed.The construction of this system is conducive to improving the data management abili-ty of medical institutions,greatly improving the work efficiency.

Objective To analyze the influencing factors of the success of clinical pregnancy in secondary infertility patients undergoing in vitro fertilization-embryo transfer(IVF-ET)and construct a nomogram prediction model.Methods A retrospective analysis was conducted on the clinical data of 235 patients with secondary infertility who underwent IVF-ET at Urumqi Maternal and Child Health Hospital from January 2020 to December 2023.They were divided into successful pregnancy group(n=109)and failed pregnancy group(n=1 26)based on whether clinical pregnancy was successful.The general information,ovulation induction data and embryo data of two groups of patients were compared.Multivariate Logistic regression analysis was used to screen out statistically significant indicators,and based on this,a nomogram prediction model was constructed.The receiver operating characteristic curve,calibration curve and decision analysis curve were drawn to verify the discrimination,accuracy and clinical practicability of the model.Results The results of multivariate Logistic regression analysis showed that the female's age,overweight and obesity were all risk factors for clinical pregnancy failure,while anti-Müllerian hormone(AMH)and the total amount of gonadotropins(Gn)were protective factor for clinical pregnancy outcomes.On this basis,a nomogram prediction model was successfully constructed,which has a medium degree of discrimination,good accuracy and clinical practicability.Conclusion For secondary infertility patients undergoing IVF-ET,the female's age,overweight and obesity,AMH,and the total amount of Gn have certain influences on clinical pregnancy.The clinical pregnancy outcome can be predicted through the constructed nomogram prediction model.

Objective To analyze the influencing factors of the success of clinical pregnancy in secondary infertility patients undergoing in vitro fertilization-embryo transfer(IVF-ET)and construct a nomogram prediction model.Methods A retrospective analysis was conducted on the clinical data of 235 patients with secondary infertility who underwent IVF-ET at Urumqi Maternal and Child Health Hospital from January 2020 to December 2023.They were divided into successful pregnancy group(n=109)and failed pregnancy group(n=1 26)based on whether clinical pregnancy was successful.The general information,ovulation induction data and embryo data of two groups of patients were compared.Multivariate Logistic regression analysis was used to screen out statistically significant indicators,and based on this,a nomogram prediction model was constructed.The receiver operating characteristic curve,calibration curve and decision analysis curve were drawn to verify the discrimination,accuracy and clinical practicability of the model.Results The results of multivariate Logistic regression analysis showed that the female's age,overweight and obesity were all risk factors for clinical pregnancy failure,while anti-Müllerian hormone(AMH)and the total amount of gonadotropins(Gn)were protective factor for clinical pregnancy outcomes.On this basis,a nomogram prediction model was successfully constructed,which has a medium degree of discrimination,good accuracy and clinical practicability.Conclusion For secondary infertility patients undergoing IVF-ET,the female's age,overweight and obesity,AMH,and the total amount of Gn have certain influences on clinical pregnancy.The clinical pregnancy outcome can be predicted through the constructed nomogram prediction model.

T cell factor 1（TCF-1）is a downstream transcription factor of the Wnt/β-catenin signaling pathway，and plays an important role in the development，differentiation，and memory formation of T cells. Recent studies have shown that TCF-1 can regulate the formation and maintenance of stem-like memory T cells（Tscm），and has potential application value in evaluating the prognosis of tumor immunotherapy and as a target for tumor immunotherapy. This article reviews the regulatory effects of TCF-1 on the immune memory as well as stemness formation and maintenance of CD8 +T cells，summarizes the transcription network centered on TCF-1，and further elucidates the application and value of TCF-1 in tumor immunotherapy.

T cell factor 1（TCF-1）is a downstream transcription factor of the Wnt/β-catenin signaling pathway，and plays an important role in the development，differentiation，and memory formation of T cells. Recent studies have shown that TCF-1 can regulate the formation and maintenance of stem-like memory T cells（Tscm），and has potential application value in evaluating the prognosis of tumor immunotherapy and as a target for tumor immunotherapy. This article reviews the regulatory effects of TCF-1 on the immune memory as well as stemness formation and maintenance of CD8 +T cells，summarizes the transcription network centered on TCF-1，and further elucidates the application and value of TCF-1 in tumor immunotherapy.

Aiming at the problems such as lack of overall planning,different caliber of indicators,repetitive con-struction of indicators and low work efficiency,the index data management system of medical institutions is built based on the Data Management Capability Maturity Model.The three-level indicator management system model is constructed,the unified coding rules of the indicator system is formulated,the indicator management process is sorted out,the indicator management platform is built,and the standard norms for the indicator management of medical institutions are formed.The construction of this system is conducive to improving the data management abili-ty of medical institutions,greatly improving the work efficiency.

Objective To study the effect of hydrogen on mitochondrial function in cerebral cortex after cerebral ischemia/reperfusion(I/R)injury in rats. Methods 48 male SD rats were randomly divided into sham operation group(sham group),brain I/R injury group(MOD group),hydrogen treatment group(H2group). 24 hours after reperfusion,the neurological deficit scoring was performed. The changes of mitochondrial membrane potential(△ψm),permeability openness(MPTP),ROS production rate and mitochondrial swelling were detected. Results Compared with the Sham group,neurological deficit score,MPTP openness,mitochondrial swelling degree and ROS production rate were increased in the MOD group(P<0.01),△ψm levels were reduced(P<0.01). Compared with the MOD group,the neurological deficit score,MPTP openness,mitochondrial swelling degree and ROS production rate were decreased in H2group(P<0.01),△ψm levels increased(P<0.01). Conclusions Simul-taneous intraperitoneal injection of pure hydrogen can reduce the generation of reactive oxygen species,protect the mitochondrial function of neuronal cells in the ischemic region after brain I/R,improvement the rat brain I/R after the neurological scoring.