Objective:To explore the related risk factors of neonatal necrotizing enterocolitis (NEC) by constructing and comparing nine regression models.Methods:All NEC patients admitted to the neonatal internal medicine department, neonatal surgery department, and neonatal intensive care unit of Shanxi Provincial Children's Hospital (Shanxi Provincial Maternity and Child Health Center) from 2020 to 2022 were included as the case group. A control group consisted of children admitted during the same period based on the inclusion and exclusion criteria. The NEC data collected were used for feature selection by using the Boruta algorithm. Logistic regression, multi-decision tree gradient boosting, efficient gradient one-sided sampling, random forest, decision tree, gradient boosting decision tree (GBDT), neural network, support vector machine, and K-nearest neighbor models were constructed. The optimal model was selected through rigorous comparison and Shap explainable analysis was performed on the GBDT model.Results:Thirteen key factors were identified through screening for nine regression models construction. After strict comparison and analysis, the GBDT model showed higher stability compared with other eight regression models. In the validation set, the area under the receiver operating characteristic curve of the GBDT model was 0.958, with an accuracy of 0.925, and sensitivity and specificity of 0.827 and 0.950, respectively. Shap explainable analysis on the GBDT model revealed that suffering from anemia, non-invasive ventilator use, procalcitonin use, premature birth, and low birth weight increased the risk for NEC, while breastfeeding and probiotics decreased the risk for NEC.Conclusion:This study identified the risk factors and protective factors for NEC by using the GBDT model, which provided evidnce for the prevention and treatment of NEC.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective:To explore the related risk factors of neonatal necrotizing enterocolitis (NEC) by constructing and comparing nine regression models.Methods:All NEC patients admitted to the neonatal internal medicine department, neonatal surgery department, and neonatal intensive care unit of Shanxi Provincial Children's Hospital (Shanxi Provincial Maternity and Child Health Center) from 2020 to 2022 were included as the case group. A control group consisted of children admitted during the same period based on the inclusion and exclusion criteria. The NEC data collected were used for feature selection by using the Boruta algorithm. Logistic regression, multi-decision tree gradient boosting, efficient gradient one-sided sampling, random forest, decision tree, gradient boosting decision tree (GBDT), neural network, support vector machine, and K-nearest neighbor models were constructed. The optimal model was selected through rigorous comparison and Shap explainable analysis was performed on the GBDT model.Results:Thirteen key factors were identified through screening for nine regression models construction. After strict comparison and analysis, the GBDT model showed higher stability compared with other eight regression models. In the validation set, the area under the receiver operating characteristic curve of the GBDT model was 0.958, with an accuracy of 0.925, and sensitivity and specificity of 0.827 and 0.950, respectively. Shap explainable analysis on the GBDT model revealed that suffering from anemia, non-invasive ventilator use, procalcitonin use, premature birth, and low birth weight increased the risk for NEC, while breastfeeding and probiotics decreased the risk for NEC.Conclusion:This study identified the risk factors and protective factors for NEC by using the GBDT model, which provided evidnce for the prevention and treatment of NEC.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective To investigate the predictive value of dynamic diffusion tensor imaging(DTI)in the postoperative efficacy of cervical spondylotic myelopathy(CSM)and to determine whether DTI parameters in different positions can be used as predictors of poor neurological prognosis.Methods A total of 105 CSM patients who underwent cervical spine decompression surgery were included.The modified Japanese Orthopedic Association(mJOA)score was used to assess patients'neurological function before surgery and one year after surgery.Patients were divided into two groups based on the recovery rate:the good prognosis group(recovery rate ≥50％)(44 cases)and the poor prognosis group(recovery rate＜50％)(61 cases).Univariate analysis was performed based on patients'clinical characteristics,imaging features and dynamic DTI parameters.Significant variables were subjected to binary logistic regres-sion analysis to identify risk factors for poor postoperative prognosis in CSM patients.Results Univariate analysis results showed significant differences between the two groups in terms of diabetes,number of compression segments,pre-mJOA score,cross-sectional area of the spinal canal at the narrowest location[Area-N(natu-ral),Area-E(extension),Area-F(flexion)],apparent diffusion coefficient(ADC)(ADC-N,ADC-E,ADC-F)and fractional ani-sotropy(FA)(FA-N,FA-E,FA-F)(P＜0.05).Binary logistic regression analysisrevealed that Area-N[odds ratio(OR)0.226;95％confidence interval(CI)0.069-0.732,P=0.013],FA-N(OR 3.028;95％CI 1.12-8.19,P=0.029),Area-E(OR 0.248;95％CI 0.076-0.814,P=0.021),FA-E(OR 4.793;95％CI 1.737-13.228,P=0.002),Area-F(OR 0.288;95％CI 0.095-0.87,P=0.027),FA-F(OR 2.964;95％CI 1.126-7.801,P=0.028)were independent risk factors for poor prognosis.FA-E had significant predictive value for poor prognosis in CSM patients.Conclusion Dynamic DTI can predict the postoperative outcomes in CSM,and FA-E value can serve as an excellent predictor of poor neurological prognosis.

Objective:By demonstrating the performance, experience and practical value of the original " science and technology evaluation" of Fuwai Hospital, it is expected to build the brand of " Fuwai innovative service for science and technology evaluation" and provide a wider social service.Methods:The four-in-one " science and technology evaluation and service system" , which is composed of " standardized local data-base" , " Fuwai Spider Net Map and Spider Track Map evaluation method" , " hierarchy three-level index system" , and " intellectual science and technology evaluation and service system" , is established for efficient evaluation of science and technology.Results:The " science and technology evaluation and service system" has run with benefit in Fuwai Hospital for years.With the multi-factor evaluating feature, it solves the drawbacks of traditional evaluating system, thus improving accuracy of evaluation and helping implementation of national policies.If the system is extended to other hospitals, it would advocate the feature and strength of Fuwai science and technology evaluation system as well as provide pluralistic reference and advice for decision-making departments.Conclusions:Science and technology evaluation is such a systemic work, with all issues of different levels along the whole evaluating process to be considered.Drawbacks exist in the traditional method which depends on a single final score.By the practice of Fuwai Hospital, the innovative " four in one" evaluation system has been validated to be more scientific.

Objective The study built a scientific performance assessing model by using information technology to construct an intelligent reviewing system,in order to provide intelligent and normalized evaluation services for scientific research performance.Methods A comprehensive and novel practical scientific performance reviewing system was established to provide objective evaluation of scientific output,which was based on accumulated experience in Fuwai Hospital and ample discussion by the experts of academic committee.Results Scientific performance assessment service,which carried out by the collaboration of scientific research management department and informational technology center,were including senior professional title self-assessing system,annual scientific research performance assessing system on both the department basis and individual basis.All the service received satisfactory effect making the assessing service from manual to intelligent.It helps the assessment result turn into openness,fairness and justice.The establishment of the intelligent scientific performance assessing system broaden the mind and provide the basis for the further scientific reward self-evaluation,scientific project application conditions filtering,technology professionals intelligent screening,supervising qualification self-evaluation and scientific project self-reviewing etc.Conclusions The establishment of scientific performance reviewing system effectively avoided the subjective influence,provided timely,highly efficient and accurate evaluating service and comparative analysis,enabling the assessment result much more objective and fair.It merits the promotional value.

Objective To investigate the status quo of utilization of chronic disease resources and quality of life in chronic obstructive pulmonary disease (COPD) patients,and explore the correlation between them.Methods A total of 394 patients with COPD were investigated by the general information question,the Chronic Illness Resources Survey and COPD Assessment Test (CAT).Results The CAT score of COPD patients was (21.33 ± 7.14) points.Among 394 COPD patients,63 patients (16.0％) had ideal utilization of chronic disease resources,and 331 patients (84.0％) did not,the highest dimension of each dimension score was 3.33 points for the health care team (interquartile range 2.67-3.67 points),and the lowest score was 1.67 points for the organization (interquartile range 1.00-2.00 points).Except media policy and quality of life were not relevant,all other dimensions were negatively correlated with CAT scores in COPD patients (r=-0.368--0.169,all P＜0.05).Linear regression analysis showed that the factors affecting the quality of life of COPD patients were:health care team,family and friends,individual coping (P＜0.05).Conclusions COPD patients with quality of life and chronic disease resources should be improved,medical staff should pay more attentions to patients in communication and guidance,and encourage the support of family and friends,in particular,pay attentions to patients with poor attitude,thus improving the quality of life of patients.

Objective: To investigate the prevalence of breast and gynecological diseases in female workers in the administrative office and workshop of an automobile part factory, and to provide a basis for promoting the health of female workers. Methods: In March 2015, color ultrasound examination of the breast, uterus, and bilateral adnexa was performed for all female workers, and routine gynecological examination, routine leucorrhea examination, and thinprep liquid-based cytology test were performed for married female workers. The detection rates of breast and gynecological diseases in female workers in the administrative office and workshop were analyzed. Results: In the 314 female workers, the overall detection rate of breast and gynecological diseases was 86.31%; the detection rate of abnormal breast ultrasound results was 72.93%, mainly breast hyperplasia; the detection rate of abnormal gynecological ultrasound results was 12.14%, mainly hysteromyoma, pelvic effusion, and uterus-rectum fossa effusion. The overall detection rate of cervicitis or vaginitis in married female workers was 66.86%. The univariate analysis showed that compared with those in the administrative office, the female workers in the workshop had significantly higher detection rates of breast hyperplasia and grade 2 breast lesions on the Breast Imaging-Reporting and Data System (BI-RADS) and significantly lower detection rates of hysteromyoma and grade 3 breast lesions on the BI-RADS (all P <0.05) . The multivariate analysis showed that age was a risk factor for hysteromyoma (OR=1.261) , age and working in the workshop were risk factors for breast hyperplasia (OR=1.065 and 1.834) , married status was a protective factor against breast hyperplasia and grade 2 breast lesions on the BI-RADS (OR=0.334 and 0.450) , and working in workshop was a risk factor for grade 2 breast lesions on the BI-RADS (OR=1.890) and a protective factor against grade 3 breast lesions on the BI-RADS (OR=0.355) . Conclusion Female workers in an automobile part factory have high prevalence rates of breast and gynecological diseases. Night shifts for female workers in the workshop should be reduced as much as possible, and female workers, especially those in the administrative office, should be guided to release pressure and take a balanced diet.

[Summary] A total of 128 individuals with type 2 diabetes underwent continuous glucose monitoring for 3 consecutive days.The dawn phenomenon was defined by three different parameters according to the previous research:(1)the absolute increase of glucose level from nocturnal nadir to prebreakfast value(?G) above 20 mg/dl;(2)?G above 10 mg/dl;( 3 ) insulin requirement increased at least 20%.The participants were secondarily separated by presence/absence of a dawn phenomenon based on the definitions above.The impact on blood glucose fluctuation of different groups was assessed according to the standard deviation of blood glucose( SDBG) , the area under curve above 10 mmol/L ( AUC ) , and the mean amplitude of glycemic excursions ( MAGE ) , etc.The frequencies of dawn phenomenon were 64.8%(?G≥20mg/dl), 85.2%(?G≥10 mg/dl), and 59.4%(rise in insulin requirement≥20%)respectively.The impacts on SDBG, AUC, MAGE, and MODD were without statistical difference(P>0.05) between the presence and absence of the dawn phenomenon patients when?G≥10 mg/dl.However, the differences reached statistical significance(P<0.05) when ?G≥20 mg/dl and the increase in insulin requirement≥20%. Besides, the incidence of dawn phenomenon was positively correlated with HOMA-IR, HbA1C , and free C-peptide.Dawn phenomenon is a very frequent event in type 2 diabetes and not only impacts the overall glycemic control but also exaggerates glucose fluctuation.To be clinically relevant, ?G≥20mg/dl should be taken as the quantitative criterion of the dawn phenomenon.