How to effectively using the electronic health records (EHR) in contracted family doctors service was studied according to the new model of HER-based community medical service with community health service station as a center in combination with large hospitals,and suggestions were put forward for the solution of problems in contracted family doctor service,namely establishing and perfecting the community health service system,enlarging the scale of HER,strengthening the construction of general doctors team,and training the technically competent community health service staff.

Objective To explore the relationship and its mechanism of emphysema induced by different ways of rearing and tobacco smoke exposure with the atherosclerosis formation. Methods Forty-eight SD rats were randomly divided into 6 groups (n= 8 ,each):a normal diet + tobacco smoke exposure (TSE) group ,a fat-rich diet + TSE group ,a limit intake + TSE group ,a normal diet group ,a fat-rich diet group ,and a limit intake group for 24 weeks. Lee's index ,serum tumor necrosis factor-α (TNF-α) ,interleukin-6 (IL-6 ) ,adiponectin (APN ) levels ,mean linear intercept (MLI) ,mean alveoli number (MAN) ,the aortic pathology change ,vascular endothelial growth factor (VEGF) of aorta ,and bone morphogenetic protein-2 (BMP-2) level were collected. Results Tobacco smoke exposure ,fat-rich diet ,and limit intake increased the severity of emphysema. The microscopic features of aorta showed an early atherosclerosis in the tobacco smoke exposure groups , but no atherosclerosis in the non-smoking groups. Interactions between tobacco smoke exposure and different ways of rearing on serum APN level (F= 10.68 ,P< 0.05) were found.In the tobacco smoke exposure groups ,Pearson correlation analysis showed positive correlations of aortic VEGF and BMP-2 levels with MLI ,serum TNF-α and IL-6 levels (r= 0.431 ,0.471 ,0 ,448 ,0.449 ,0.428 , 0.447 ,all P<0.05) ,and an negative correlation with MAN (r= -0.411 ,-0.442 ,P<0.05). Conclusions Both tobacco smoke exposure and different ways of rearing can influence the formation of emphysema. There is a positive correlation between the severities of emphysema and atherosclerosis , and systemic inflammation may be involved.

Objective:To explore the situation of insomnia, fatigue, depression, anxiety and cognitive impairment in adolescents with different characteristics, and the chain mediating effect of fatigue, depression and anxiety on insomnia and cognitive impairment.Methods:The general demographic data of 6 014 adolescents were collected.Insomnia severity index (ISI), the multidimensional fatigue inventory (MFI-20), patient health questionnaire-9 (PHQ-9), generalized anxiety disorder-7 (GAD-7) and perceived deficits questionnaire-depression(PDQ-D) were used to compare the insomnia, fatigue, depression, anxiety and cognitive impairment of adolescents with different characteristics.Spearman correlation analysis was conducted by SPSS 20.0 software.The significance of mediating effect was tested by deviation corrected nonparametric percentile Bootstrap method using SPSS macro program PROCESS.Results:The detection rates of insomnia, fatigue, depression, anxiety and cognitive impairment were different in adolescents with different genders, grades and academic achievements.Cognitive impairment was significantly positively correlated with insomnia ( r=0.654, P<0.01), fatigue ( r=0.476, P<0.01), depression ( r=0.677, P<0.01), anxiety ( r=0.655, P<0.01), which was suitable for mediating effect test.Fatigue, depression and anxiety in adolescents had a chain mediating effect between insomnia and cognitive impairment.Insomnia indirectly affects cognition by affecting fatigue and depressive symptoms.The intermediary effect value was 1.253, the effect amount was 55.60%, and the total effect was 2.254.Insomnia indirectly affects cognition by affecting fatigue and anxiety symptoms.The intermediary effect value was 1.161, the effect amount was 51.50%, and the total effect was 2.254. Conclusion:Insomnia can not only directly affect their cognitive impairment, but also indirectly affect their cognitive impairment through the chain mediation of fatigue, depression and anxiety of adolescents.

Objective:To explore the feasibility and validity of constructing an intensity-modulated radiotherapy gamma pass rate prediction model after combining the SHAP values with the extreme gradient boosting tree (XGBoost) algorithm feature selection technique, and to deliver corresponding model interpretation.Methods:The dose validation results of 196 patients with pelvic tumors receiving fixed-field intensity-modulated radiotherapy using modality-based measurements with a gamma pass rate criterion of 3%/2 mm and 10% dose threshold in Hunan Provincial Tumor Hospital from November 2020 to November 2021 were retrospectively analyzed. Prediction models were constructed by extracting radiomic features based on dose files and using SHAP values combined with the XGBoost algorithm for feature filtering. Four machine learning classification models were constructed when the number of features was 50, 80, 110 and 140, respectively. The area under the receiver operating characteristic curve (AUC), recall rate and F1 score were calculated to assess the classification performance of the prediction models.Results:The AUC of prediction model constructed with 110 features selected based on the SHAP-valued features was 0.81, the recall rate was 0.93 and the F1 score was 0.82, which were all better than the other 3 models.Conclusion:For intensity-modulated radiotherapy of pelvic tumor, SHAP values can be used in combination with the XGBoost algorithm to select the optimal subset of radiomic features to construct predictive models of gamma pass rates, and deliver an interpretation of the model output by SHAP values, which may provide value in understanding the prediction by machine learning-dependent models.

ObjectiveTo discuss the relationship between objective sleep quality and cognitive function in remission depression patients with insomnia. MethodsA total of 47 patients with depression in remission in Beijing Huilongguan Hospital were enrolled. Insomnia Severity Index （ISI） and the sleep efficiency calculated by the first four items of Pittsburgh Sleep Quality Index （PSQI） were defined as insomnia. Among the selected patients， 22 subjects were classified into insomnia group， and 25 subjects in non-insomnia group. The objective sleep status of all subjects was evaluated by polysomnography （PSG）， and the cognitive function was evaluated with the Repeatable Battery for Assessment of Neuropsychological Status （RBANS）. A regression model was established to explore the relationship between objective sleep quality and cognitive function in remission depression patients with insomnia. ResultsThere was statistically significant difference in immediate memory factor scores of RBANS between depression patients in remission with and without insomnia （t=-2.102， P<0.05）. The sleep efficiency （Z=-2.113， P<0.05）， the proportion of N3 sleep stage （Z=-3.175， P<0.01） and the duration of N3 sleep stage （Z=-3.196， P<0.01） in insomnia group were all lower than those in non-insomnia group， and the nocturnal awakening （Z=-2.058， P<0.01）， the proportion of N1 sleep stage （Z=-2.399， P<0.05） and the duration of N1 sleep stage （Z=-2.463， P<0.05） were higher than those of the insomnia group. Within insomnia group， the increased proportion of REM sleep was correlated with the improvement of attention function （β=0.953， 95% CI： 0.123~2.038， P<0.05）， and the increase of nocturnal awakening was correlated with the decline of delayed memory （β=-0.173， 95% CI： -0.325~-0.024， P<0.05）. ConclusionObjective sleep is associated with cognitive impairment in remission depression patients with insomnia， the proportion of REM sleep has a positive impact on attention function， and frequent nocturnal awakening at night has a negative impact on delayed memory.