Objective To study the efficacy of recombinant human thrombopoietin (rhTPO)for the treat-ment of chemotherapy -induced thrombocytopenia with leukemia.And to explore its security.Methods 80 thrombo-cytopenia of acute leukemia after chemotherapy were selected.All patients were randomly divided into the research group and the control group according to the single and double of order registration number in clinic,40 cases in each group.The control group was treated with recombinant human interleukin -11 (rhIL -11),the research group was applied rhTPO treatment.The platelet (PLT)level of two groups,and other indicators of change were detected,and adverse reactions were observed.Results PLT resuming maximum value of the research group was (217.4 ±52.7) ×109 /L,which was significantly higher than the control group,the difference was statistically significant (t =15.63, P <0.05).The time of PLT recovery to 100 ×109 /L of the research group after chemotherapy was (15.6 ±3.6)d, which was significantly lower than the control group,the difference was statistically significant (t =10.72,P <0.05). The adverse reactions incidence of the research group was 12.5%,lower than 35.0% of the control group,the differ-ence was statistically significant (χ2 =9.87,P <0.05).Conclusion The treatment effect of RhTPO for thrombocy-topenia of the acute leukemia after chemotherapy is better than that of rhIL -11,can significantly improve the throm-bocytopenia,and has less adverse reaction and higher security.It is worthy of clinical popularization and application.

Syndrome, a very important concept in traditional Chinese medicine (TCM), is the essence and characteristics of TCM theory. Progress of related studies on syndrome will drive the development of TCM. Therefore, clinical and basic researches on syndrome have focused on the hotspot of TCM. In recent 60 years, many scholars have discussed the concept, essence and the establishment of standardization of syndrome from different angles and layers. Although many results have been obtained, there is still a certain one sidedness and dispute. Therefore, looking for a new theoretical tool to reveal the scientific connotation of TCM syndrome is imperative. TCM syndrome and biological entropy belong to two different subject concepts, but can also reveal the physiological and pathological state in the changes of life body growth. This article discussed isomorphism of TCM syndrome and biological entropy from the concept, theoretical background and characteristics, with a purpose to provide certain guiding significance to study and promote standardized researches on TCM syndrome.

Objective: To prepare and in vitro evaluate the self-microemulsifying drug delivery system (SMEDDS) of adefovir dipivoxil (ADV).Methods: The optimized formula was screened by solubility, compatibility, ternary phase diagram and orthogonal design with the self-emulsifying time and particle size of microemulsion as the indices.The property of self-emulsification and the dissolution in vitro of ADV-SMEDDS were also determined.Results: The optimized SMEDDS was composed of Cremophor EL35 (37.5%), Transcutol HP (37.5%) and PECEOL (25%), and the drug loading was 3%.The ADV-SMEDDS formed stable microemulsion after the dilution by 50-fold amount of water in 24 s, the average particle size was (26.30±0.46) nm, the zeta potential was (-8.96±0.57) mV, and the dissolution was more than 85% in 5 min.Conclusion: The optimized formula of ADV-SMEDDS has significantly enhanced solubility and dissolution of adefovir dipivoxil in vitro.

Objective:To explore the differences of functional small airway and pulmonary vascular parameters in chronic obstructive pulmonary disease (COPD) of different imaging phenotypes.Methods:One hundred and thirty COPD patients underwent biphasic CT scanning in Shanghai Changzheng Hospital from August 2018 to August 2020 were analyzed retrospectively. The patients were classified into three phenotypes based on the presence of emphysema and bronchial wall thickening on CT images. Phenotype A: no emphysema or mild emphysema, with or without bronchial wall thickening; Phenotype E: obvious emphysema without bronchial wall thickening; phenotype M: significant emphysema and bronchial wall thickening were present. Parametric response map (PRM) and pulmonary vascular parameters were quantitatively measured at the whole lung level. PRM parameters included the volume of emphysema (PRMV Emphysema), the volume of functional small airway (PRMV fSAD), the volume of normal pulmonary parenchyma (PRMV Normal) and its volume percentage (%). Pulmonary vascular parameters included the number of vessels (N) and cross-sectional area vessels<5 mm 2 (N -CSA<5) at 6, 9, 12, 15, 18 21, 24 mm distance from the pleura. ANOVA or Kruskal-Wallis H tests were used to compare the differences for PRM and pulmonary vascular parameters among the three phenotypes, and LSD or Bonferroni tests were used for multiple comparisons. Results:There were significant differences among the three phenotypes for PRMV fSAD, PRMV Emphysema, PRMV fSAD%, PRMV Emphysema%, and PRMV Normal% at the whole lung level ( P<0.05). PRMV Emphysema, PRMV Emphysema%, PRMV Fsad, PRMV fSAD% of phenotype A were lower than those of phenotype E and M ( P<0.001), while there was no significant difference for PRMV Emphysema, PRMV Emphysema%, PRMV fSAD, PRMV fSAD% between phenotype E and phenotype M ( P>0.05). There were significant differences in N and N -CSA<5 that 6 mm distance from the pleura among the three groups( P<0.05). Among them, N and N -CSA<5 that 6 mm distance from pleura in phenotype M were significantly lower than those in phenotype A( P<0.001,0.002); No significant differences was found in N between phenotype M and phenotype E( P>0.05), while there was significant differences in N -CSA<5 between phenotype M and phenotype E( P=0.034). Conclusion:Biphasic quantitative CT analysis can reflect the heterogeneity of the functional small airways and pulmonary vascular abnormality in COPD with different phenotypes, and provide objective evidence for individualized diagnosis and treatment.

Objective:To explore the value of difference value and relative value of pulmonary vascular quantitative parameters of biphasic CT in diagnosis of chronic obstructive pulmonary disease (COPD) and high-risk groups.Methods:The study was a cross-sectional study. A retrospective study of 624 patients who underwent biphasic chest CT scanning in the Second Affiliated Hospital of PLA Naval Medical University from August 2018 to December 2020. Subjects were divided into three groups according to pulmonary function test: normal group ( n=321), preserved ratio impaired spirometry (PRISm) ( n=204) and COPD group ( n=99). The pulmonary vascular quantitative parameters were obtained by the workstation, including the number of pulmonary vessels (N total), cross-sectional area less than that of 5 mm 2 (N CSA5), vessel area (VA total) of 9, 12, 15, 18, 21 mm from the pleura, total blood vessels volume (TBV) and total blood vessels volume under 5 mm 2 (BV5) at expiratory and inspiratory phase. The difference value, relative value of biphasic CT were calculated. ANOVA test or Kruskal-Wallis H test was used to compare the differences of pulmonary vascular quantitative parameters among the three groups, and LSD or Bonferroni tests were used for multiple comparisons. Results:The N total, N CSA5, VA total of the whole lung in the inspiratory phase at the level of 9, 12, 15, 18 and 21 mm from the pleura and TBV, BV5 in the normal group, PRISm group and COPD group, showed an overall trend of decreasing and then increasing, and the PRISm group was lower than those of the normal group ( P<0.05). The differences in N total, N CSA5, VA total between the COPD group and the normal group at the level of 9 and 21 mm from the pleura were not statistically significant ( P>0.05), while the N total, N CSA5, V Atotal of biphasic difference value and relative value in COPD group demonstrated a significant difference from those in normal group ( P<0.05). Conclusion:The difference value and relative value of pulmonary vascular quantitative parameters in biphasic CT are more useful than single inspiratory-phase vascular parameters to differentiate the changes in pulmonary vascular remodeling between COPD patients and the normal population, and also to complement the pulmonary vascular characteristics of the PRISm population, which can provide a basis for early warning of COPD and high-risk populations.

Objective:To explore the predictive value of random forest regression model for pulmonary function test.Methods:From August 2018 to December 2019, 615 subjects who underwent screening for three major chest diseases in Shanghai Changzheng Hospital were analyzed retrospectively. According to the ratio of forced expiratory volume in the first second to forced vital capacity (FEV 1/FVC) and the percentage of forced expiratory volume in the first second to the predicted value (FEV 1%), the subjects were divided into normal group, high risk group and chronic obstructive pulmonary disease (COPD) group. The CT quantitative parameter of small airway was parameter response mapping (PRM) parameters, including lung volume, the volume of functional small airways disease (PRMV fSAD), the volume of emphysema (PRMV Emph), the volume of normal lung tissue (PRMV Normal), the volume of uncategorized lung tissue (PRMV Uncategorized) and the percentage of the latter four volumes to the whole lung (%). ANOVA or Kruskal Wallis H was used to test the differences of basic clinical characteristics (age, sex, height, body mass), pulmonary function parameters and small airway CT quantitative parameters among the three groups; Spearman test was used to evaluate the correlation between PRM parameters and pulmonary function parameters. Finally, a random forest regression model based on PRM combined with four basic clinical characteristics was constructed to predict lung function. Results:There were significant differences in the parameters of whole lung PRM among the three groups ( P<0.001). Quantitative CT parameters PRMV Emph, PRMV Emph%, and PRMV Normal% showed a moderate correlation with FEV 1/FVC ( P<0.001). Whole lung volume, PRMV Normal,PRMV Uncategorized and PRMV Uncategorized% were strongly or moderately positively correlated with FVC ( P<0.001), other PRM parameters were weakly or very weakly correlated with pulmonary function parameters. Based on the above parameters, a random forest model for predicting FEV 1/FVC and a random forest model for predicting FEV 1% were established. The random forest model for predicting FEV 1/FVC predicted FEV 1/FVC and actual value was R 2=0.864 in the training set and R 2=0.749 in the validation set. The random forest model for predicting FEV 1% predicted FEV 1% and the actual value in the training set was R 2=0.888, and the validation set was R 2=0.792. The sensitivity, specificity and accuracy of predicting FEV 1% random forest model for the classification of normal group from high-risk group were 0.85(34/40), 0.90(65/72) and 0.88(99/112), respectively; and the sensitivity, specificity and accuracy of predicting FEV 1/FVC random forest model for differentiating non COPD group from COPD group were 0.89(8/9), 1.00 (112/112) and 0.99(120/121), respectively. While the accuracy of two models combination for subclassification of COPD [global initiative for chronic obstructive lung disease (GOLD) Ⅰ, GOLDⅡ and GOLD Ⅲ+Ⅳ] was only 0.44. Conclusions:Small airway CT quantitative parameter PRM can distinguish the normal population, high-risk and COPD population. The comprehensive regression prediction model combined with clinical characteristics based on PRM parameter show good performance differentiating normal group from high risk group, and differentiating non-COPD group from COPD group. Therefore, one-stop CT scan can evaluate the functional small airway and PFT simultaneously.

Objective:To assess the effectiveness of a model created using clinical features and preoperative chest CT imaging features in predicting the chronic obstructive pulmonary disease (COPD) among patients diagnosed with lung cancer.Methods:A retrospective analysis was conducted on clinical (age, gender, smoking history, smoking index, etc.) and imaging (lesion size, location, density, lobulation sign, etc.) data from 444 lung cancer patients confirmed by pathology at the Second Affiliated Hospital of Naval Medical University between June 2014 and March 2021. These patients were randomly divided into a training set (310 patients) and an internal test set (134 patients) using a 7∶3 ratio through the random function in Python. Based on the results of pulmonary function tests, the patients were further categorized into two groups: lung cancer combined with COPD and lung cancer non-COPD. Initially, univariate analysis was performed to identify statistically significant differences in clinical characteristics between the two groups. The variables showing significance were then included in the logistic regression analysis to determine the independent factors predicting lung cancer combined with COPD, thereby constructing the clinical model. The image features underwent a filtering process using the minimum absolute value convergence and selection operator. The reliability of these features was assessed through leave-P groups-out cross-validation repeated five times. Subsequently, a radiological model was developed. Finally, a combined model was established by combining the radiological signature with the clinical features. Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) curves were plotted to evaluate the predictive capability and clinical applicability of the model. The area under the curve (AUC) for each model in predicting lung cancer combined with COPD was compared using the DeLong test.Results:In the training set, there were 182 cases in the lung cancer combined with COPD group and 128 cases in the lung cancer non-COPD group. The combined model demonstrated an AUC of 0.89 for predicting lung cancer combined with COPD, while the clinical model achieved an AUC of 0.82 and the radiological model had an AUC of 0.85. In the test set, there were 78 cases in the lung cancer combined with COPD group and 56 cases in the lung cancer non-COPD group. The combined model yielded an AUC of 0.85 for predicting lung cancer combined with COPD, compared to 0.77 for the clinical model and 0.83 for the radiological model. The difference in AUC between the radiological model and the clinical model was not statistically significant ( Z=1.40, P=0.163). However, there were statistically significant differences in the AUC values between the combined model and the clinical model ( Z=-4.01, P=0.010), as well as between the combined model and the radiological model ( Z=-2.57, P<0.001). DCA showed the maximum net benifit of the combined model. Conclusion:The developed synthetic diagnostic combined model, incorporating both radiological signature and clinical features, demonstrates the ability to predict COPD in patients with lung cancer.

Objective:In order to explore the impact of corona virus disease 2019(COVID-19)on the hospitalization of children with bronchiolitis and to improve clinicians′ understanding of the characteristics of bronchiolitis during the COVID-19 epidemic.Methods:This was a multicenter clinical study, and the data have been collected from 23 children′s medical centers in China.All the clinical data were retrospectively collected from children with bronchiolitis who were hospitalized at each study center from January 1, 2019 to December 31, 2021.The results included gender, age at hospitalization, length of stay, respiratory syncytial virus(RSV) test results, severity rating, ICU treatment, and the total number of children hospitalized with respiratory tract infection during the same period.The clinical data of children with bronchiolitis in 2019 before COVID-19 epidemic and in 2020、2021 during COVID-19 epidemic were statistically analyzed and compared.Results:According to a summary of data provided by 23 children′s medical centers, there were 4 909 cases of bronchiolitis in 2019, 2 654 cases in 2020, and 3 500 cases in 2021.Compared with 2019, the number of bronchiolitis cases decreased by 45.94% in 2020 and 28.70% in 2021.In 2019, 2020 and 2021, there were no significant differences in gender ratio, age, and duration of hospitalization.Compared with 2019, the ratio of bronchiolitis to the total number of hospitalizations for respiratory tract infection decreased significantly in 2020 and 2021( χ2=12.762, P<0.05; χ2=84.845, P<0.05).The proportion of moderate to severe bronchiolitis cases in both 2020 and 2021 was lower than that in 2019, and the difference was statistically significant ( χ2=4.054, P<0.05; χ2=8.109, P<0.05).There was no statistically significant difference in the proportion of bronchiolitis cases requiring ICU treatment between 2019, 2020, and 2021 ( χ2=1.914, P>0.05).In 2019, a total of 52.60%(2 582/4 909) of children with bronchiolitis underwent RSV pathogen testing, and among them, there were 708 cases with RSV positive, accounting for 28.00%.In 2020, 54.14%(1 437/2 654) of children with bronchiolitis underwent RSV pathogen testing, and there were 403 cases with RSV positive, accounting for 28.04%.In 2021, 66.80%(2 238/3 500) of children with bronchiolitis underwent RSV pathogen testing, and there were 935 cases with RSV positive, accounting for 41.78%.Compared with 2019 and 2020, the RSV positive rate in 2021 showed a significant increase( χ2=99.673, P<0.05; χ2=71.292, P<0.05). Conclusion:During the COVID-19 epidemic, the implementation of epidemic prevention and control measures reduced the hospitalization rate and severity of bronchiolitis, but did not reduce the positive rate of RSV detection.