Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

[摘 要] 目的：探讨内吞作用相关基因FCHO2在各亚型乳腺癌中的表达及其与乳腺癌患者的预后和免疫细胞浸润的相关性。方法：应用免疫组化法和bc-GenExMiner v5.0数据库数据分析FCHO2在各亚型乳腺癌组织中的表达，通过GEO和TIMER数据库数据分析FCHO2与各亚型乳腺癌患者预后和免疫细胞浸润的关系，利用STRING和GEPIA数据库数据分析与FCHO2的互作蛋白网络和其与互作蛋白的相关性，通过UALCAN和DAVID数据库数据对乳腺癌组织中FCHO2表达相关基因进行KEGG和GO分析。结果：免疫组化法结果显示，FCHO2在管腔型和HER2+乳腺癌组织中均呈高表达（均P<0.05），且与HER2和Ki67表达有关联（P=0.03和P=0.007）。FCHO2高表达的管腔型乳腺癌患者总生存期（OS）和无复发生存期（RFS）均明显缩短（均P<0.05）。FCHO2蛋白与EPS15等多种蛋白表达相关且构成蛋白-蛋白互作网络。KEGG和GO分析显示，乳腺癌组织中FCHO2相关表达基因主要与昼夜节律、自噬等生物学过程有关，涉及叉头框蛋白O（FoxO）和TGF-β等信号通路。FCHO2表达与各亚型乳腺癌组织中的免疫细胞浸润相关（均P<0.05）。结论：FCHO2在管腔型、HER2+乳腺癌组织中呈高表达，且与管腔型乳腺癌患者预后及免疫细胞浸润相关，其可能成为乳腺癌治疗的潜在靶点。

[摘 要] 目的：探讨内吞作用相关基因FCHO2在各亚型乳腺癌中的表达及其与乳腺癌患者的预后和免疫细胞浸润的相关性。方法：应用免疫组化法和bc-GenExMiner v5.0数据库数据分析FCHO2在各亚型乳腺癌组织中的表达，通过GEO和TIMER数据库数据分析FCHO2与各亚型乳腺癌患者预后和免疫细胞浸润的关系，利用STRING和GEPIA数据库数据分析与FCHO2的互作蛋白网络和其与互作蛋白的相关性，通过UALCAN和DAVID数据库数据对乳腺癌组织中FCHO2表达相关基因进行KEGG和GO分析。结果：免疫组化法结果显示，FCHO2在管腔型和HER2+乳腺癌组织中均呈高表达（均P<0.05），且与HER2和Ki67表达有关联（P=0.03和P=0.007）。FCHO2高表达的管腔型乳腺癌患者总生存期（OS）和无复发生存期（RFS）均明显缩短（均P<0.05）。FCHO2蛋白与EPS15等多种蛋白表达相关且构成蛋白-蛋白互作网络。KEGG和GO分析显示，乳腺癌组织中FCHO2相关表达基因主要与昼夜节律、自噬等生物学过程有关，涉及叉头框蛋白O（FoxO）和TGF-β等信号通路。FCHO2表达与各亚型乳腺癌组织中的免疫细胞浸润相关（均P<0.05）。结论：FCHO2在管腔型、HER2+乳腺癌组织中呈高表达，且与管腔型乳腺癌患者预后及免疫细胞浸润相关，其可能成为乳腺癌治疗的潜在靶点。