OBJECTIVE To investigate the use of drugs and the development of pharmaceutical care in the tight medical alliance （shorted for “medical alliance”） of Wanzhou District of Chongqing， and provide reference for the further construction of the medical alliance. METHODS A survey form was designed and distributed to 21 constituent units （5 leading units and 16 member units） of 5 medical alliances in Wanzhou District of Chongqing. The statistical analysis was conducted in aspects of basic drug allocation and use， pharmaceutical personnel team construction， the development of pharmaceutical care， and rational use of antibiotics. RESULTS Among the 21 constituent units， 4 leading units and 14 member units achieved the target for the proportion of essential drug procurement varieties， with a total compliance rate of 85.71%； 4 leading units and 13 member units achieved the target for the proportion of national essential drug allocation and usage amount， with a total compliance rate of 80.95%. The proportions of personnel with doctoral degrees in the 5 leading units and 16 member units were 1.71% and 0 respectively， and the proportions of personnel with senior professional titles were 8.56% and 1.63%， respectively. A total of 5 pharmacy or pharmaceutical combined outpatient clinics were set up in the 21 medical alliance units， and 5 clinical pharmacy information service platforms were established； all 5 leading units were able to regularly carry out clinical pharmacy projects， while only 4 out of 16 member units had conducted medical order review and evaluation. The proportions of irrational use of antibiotics in outpatient prescriptions and inpatient medical records of the 16 member units （4.81%， 5.21%） were significantly higher than those of the 5 leading units （2.80%， 4.00%）. CONCLUSIONS The allocation and usage of national essential drugs in 21 constituent units from Wanzhou District of Chongqing are both in good standing. However， the data on the allocation of pharmaceutical professionals and the number， qualifications， and job titles of clinical pharmacists in member units are generally low. Moreover， the pharmaceutical service projects and service quality in member units need to be further improved.

OBJECTIVE To establish HPLC characteristic chro matogram of Jianpi yifei biyan prescription standard decoction ， to select the quality control index components and determine their contents. METHODS HPLC method combined with Similarity Evaluation System of TCM Chromatographic Fingerprint （2004 edition）were used to establish the characteristic chromatogram of 10 batches of Jianpi yifei biyan prescription standard decoction ；the similarity evaluation and common peaks identification were also carried out. Using common peak area of characteristic chromatogram as variables ，SPSS 26.0 software and SIMCA 14.1 software were used to perfor m cluster analysis （CA），principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）；differential components with variable important i n pro jection（VIP）value greater than 1.5 were screened；the contents of cimifugin and differential components were determined by the same method. RESULTS A total of 24 common characteristic peaks were identified ， and the similarities of 10 batches of samples were higher than 0.960；eight characteristic peaks were identified by comparison with reference substance. CA and PCA results revealed that the samples were classified into 3 categories.OPLS-DA analysis showed that 3 components with VIP value greater than 1.5， which were prim-O-glucosylcimifugin （peak 2），calycosin 7-O-β-D-glucopyranoside （peak 4） and 5-O-methylvisammioside （peak 6） in descending order. The linear ranges of prim- O- glucosylcimifugin，calycosin 7-O-β-D-glucopyranoside，cimifugin and 5-O-methylvisammioside were 0.010 7-0.213 0，0.007 8- 0.156 0，0.008 0-0.160 0，0.009 8-0.195 0 μg（r＞0.999），respectively. RSD values of precision ，repeatability and stability tests （24 h） were all less than 2％. Average recoveries were 105.98％（RSD＝1.75％，n＝6），98.06％（RSD＝3.87％，n＝6），96.38％（RSD＝ 4.03％ ，n＝6） and 104.17％（RSD＝1.27％ ，n＝6）. The contents of the above 4 components in 10 batches of samples were 12.12-18.87，3.86-6.40，3.10-4.27 and 11.17-15.79 μ g/mL，respectively. CONCLUSIONS The established HPLC characteristic chromatographic method is stable and feasible ，it can be used for the quality control of Jianpi yifei biyan prescription standard decoction. Prim- O-glucosylcimifugin，calycosin 7-O-β-D-glucopyranoside，cimifugin and 5-O-methylvisammioside can be used as the index components for quality control of the standard decoction.

Objective:To explore the value of MRI features in predicting the pathological grade of rectal neuroendocrine tumors and to develop a predicting model.Methods:A retrospective analysis was performed on 30 cases of rectal neuroendocrine tumors confirmed by surgery and pathology between 2013 and 2019. All of them underwent plain rectal MRI, DWI and dynamic contrast-enhanced MRI. The clinical features and MRI characteristics (ie. tumor location, maximum tumor diameter, boundary, growth pattern, enhancement of three-staged lesions, and the lymph node metastasis) were analyzed by statistical methods to evaluate the difference between different tumor pathologic grades (G1, G2 and G3). Characteristics with statistical significance were analyzed by collinearity diagnostics, and stepwise regression method was used to select independent predictors. Ordinal logistic regression analysis was then conducted to develop the predicting model.Results:Maximum tumor diameter, tumor boundary, growth pattern, mr-T, mr-N, EMVI, MRF, T2WI signal intensity, tumor enhancement degree in venous phase and distant metastasis were closely correlated with the pathological grade of rectal neuroendocrine tumors ( P<0.001, 0.001, 0.001, <0.001, 0.001, 0.004, 0.024, 0.015, 0.001, and <0.001, respectively). The mr-T and tumor enhancement degree in venous phase were identified as the independent predictors to construct the prediction model. The model got ideal performance in predicting the grades, with the areas under the receiver operating characteristic (ROC) curves (AUCs) of 0.945, 0.624 and 0.896, the sensitivities were 75.0%, 85.7%, and 90.9% and corresponding specificities were 88.9%, 52.6% and 93.3% for G1, G2 and G3 rectal neuroendocrine tumors, respectively. Conclusion:The model based on mr-T and tumor enhancement degree in venous phase can serve as a clinical tool for predicting the pathological grade of rectal neuroendocrine tumors.

Objective:To explore the value of MRI features in predicting the pathological grade of rectal neuroendocrine tumors and to develop a predicting model.Methods:A retrospective analysis was performed on 30 cases of rectal neuroendocrine tumors confirmed by surgery and pathology between 2013 and 2019. All of them underwent plain rectal MRI, DWI and dynamic contrast-enhanced MRI. The clinical features and MRI characteristics (ie. tumor location, maximum tumor diameter, boundary, growth pattern, enhancement of three-staged lesions, and the lymph node metastasis) were analyzed by statistical methods to evaluate the difference between different tumor pathologic grades (G1, G2 and G3). Characteristics with statistical significance were analyzed by collinearity diagnostics, and stepwise regression method was used to select independent predictors. Ordinal logistic regression analysis was then conducted to develop the predicting model.Results:Maximum tumor diameter, tumor boundary, growth pattern, mr-T, mr-N, EMVI, MRF, T2WI signal intensity, tumor enhancement degree in venous phase and distant metastasis were closely correlated with the pathological grade of rectal neuroendocrine tumors ( P<0.001, 0.001, 0.001, <0.001, 0.001, 0.004, 0.024, 0.015, 0.001, and <0.001, respectively). The mr-T and tumor enhancement degree in venous phase were identified as the independent predictors to construct the prediction model. The model got ideal performance in predicting the grades, with the areas under the receiver operating characteristic (ROC) curves (AUCs) of 0.945, 0.624 and 0.896, the sensitivities were 75.0%, 85.7%, and 90.9% and corresponding specificities were 88.9%, 52.6% and 93.3% for G1, G2 and G3 rectal neuroendocrine tumors, respectively. Conclusion:The model based on mr-T and tumor enhancement degree in venous phase can serve as a clinical tool for predicting the pathological grade of rectal neuroendocrine tumors.

Objective:To verify the determination method of iodine in serum by inductively coupled plasma mass spectrometry (ICP-MS) and to evaluate the consistency between ICP-MS and As 3+-Ce 4+ catalytic spectrophotometry in determination of serum iodine. Methods:Serum iodine concentration was determined by ICP-MS, 187Re was used as an internal standard, and ralated parameters were optimized. Eighty-eight serum samples were simultaneously determined by ICP-MS and As 3+-Ce 4+ catalytic spectrophotometry, and the evaluation indexes included determination range of standard curve, detection limit, precision, accuracy. In addition, we also evaluated the consistency of the two methods through inter-group correlation analysis, intra-group correlation coefficient analysis, Passing-Bablok regression and Bland-Altman analysis. Results:The linear range of ICP-MS standard curve was 0 - 300 μg/L. There was a good linear correlation between iodine concentration value and iodine response value, and the correlation coefficient range was 0.999 8 to 0.999 9. The detection limit of the ICP-MS method was 1.96 μg/L. The relative standard deviation ( RSD) ranged from 0.2% to 1.4% and from 0.4% to 1.8% for intra and inter-batch precision tests of serum samples. The recovery rate ranged from 90.44% to 108.71%. The correlation analysis of 88 serum samples showed that there was a good correlation between the two methods ( r = 0.934, P < 0.05), and the intra-class correlation coefficient was 0.932. The results of Passing-Bablok regression showed that there was no significant difference between the two methods ( P > 0.05). Bland-Altman diagram suggested that the results of the two methods were consistent. Conclusions:ICP-MS method has low detection limit, high precision and accuracy. ICP-MS method is simple, rapid, easy and suitable for determination of iodine in large quantities of serum samples. The results of the two methods for determining serum iodine are consistent.

Objective:To assess the predictive value of histogram parameters derived from synthetic MRI for extramural venous invasion (EMVI) of rectal cancer.Methods:Totally 76 patients with pathologically proven rectal adenocarcinoma were enrolled in this retrospective study from November 2018 to December 2019 in Cancer Hospital, Chinese Academy of Medical Sciences. All participants underwent preoperative rectal MRI examination including MAGiC within 4 weeks before surgery. The status of EMVI on MRI was independently assessed by one junior and one senior radiologist. Histogram parameters were extracted from T 1, T 2 and proton density (PD) mapping, including mean, variance, maximum, minimum, 10 th percentile, median, 90 th percentile, energy, kurtosis, entropy and skewness. With postoperative pathological result as the gold standard, the patients were divided into EMVI-positive group ( n=18) and EMVI-negative group ( n=58). The Mann-whitney U test was used to compare the differences in histogram parameters between the two groups. The ROC curves were used to explore the predictive performance for assessing EMVI. The logistic regression analysis was used to combine the assessment of radiologists with parameters whose area under the ROC curve (AUC)>0.7. The Delong test was used to analyze the differences of diagnostic efficacy between different methods in predicting EMVI. Results:Significant differences of the energy of T 1, T 2 and PD mapping and skewness of PD mapping were observed between the EMVI-positive and EMVI-negative group ( P<0.05), with the AUC of 0.744, 0.728, 0.708 and 0.652. The AUC of junior radiologist in evaluating EMVI was 0.711, and the AUC of the combination with energy of T 1, T 2 and PD mapping was 0.817, showing a statistically significant difference ( Z=2.281, P=0.023). The AUC of senior radiologist in evaluating EMVI was 0.837, and the AUC of the combination with energy was 0.856. There was a significant difference in AUC between junior and senior radiologists in assessing EMVI ( Z=2.587, P=0.010), while there was no significant difference between junior radiologist combined with energy and senior radiologist ( Z=0.578, P=0.563). Conclusion:The histogram parameters based on quantitative mapping of synthetic MRI were useful for predicting EMVI of rectal cancer.

Objective:To explore the application of digital acoustic analysis in assessing the risk of aspiration among persons with dysphagia using the Praat speech analysis software.Methods:The swallowing of 46 stroke survivors with dysphagia was studied using video fluoroscopy. Each patient was required to pronounce " yi/i/" 3 times before and after taking each mouthful of food, and their voice samples were collected. The subjects were divided into a non-aspiration group of 16 and an aspiration group of 30 based on their penetration-aspiration scale scores. Fundamental frequency, relative average perturbation (RAP), jitter, shimmer, amplitude perturbation quotient and harmonic-to-noise ratio were compared between the two groups before and after taking food.Results:For the non-aspiration group, there was no significant difference in the acoustic data before and after eating. For the aspiration group there were significant differences in fundamental frequency, relative average perturbation and jitter before and after taking food. The average RAP and jitter of the non-aspiration group were significantly better than the aspiration group′s averages before eating. After eating, however, significant differences were observed only in average jitter.Conclusions:Analyzing perturbation and jitter can help to identify persons at risk of aspiration.

Objective:To explore the effect of the pharyngeal pressure feedback training on pharyngeal constriction in persons with swallowing disorders caused by brainstem lesions.Methods:Twenty patients with disordered swallowing caused by a brainstem lesion were randomly divided into a control group and an intervention group, each of 10. Both groups received routine swallowing training including oral sensorimotor training, neuromuscular stimulation and balloon catheter dilation, while the intervention group was additionally provided with two weeks of pharyngeal pressure feedback training. Before and after the treatment, both groups were evaluated in terms of the peak pressure of superior and inferior pharyngeal constriction, endoscopically and also using the functional oral intake scale.Results:There was no significant difference between the two groups in any measure before the intervention. Afterward, both groups had improved significantly by all of the measurements, but the average peak upper pharyngeal pressure, the average intake scale score and the endoscopy results of the intervention group were all significantly better than the control group′s averages.Conclusions:Pharyngeal pressure feedback training can significantly relieve swallowing disorders caused by brainstem lesions.

Objective:To explore the diagnostic accuracy improved by magnetic resonance imaging (MRI) biomarkers for lymph node metastasis in T1-2 stage rectal cancer before treatment.Methods:Medical records of 327 patients with T1-2 rectal cancer who underwent pretreatment MRI and rectal tumor resection between January 2015 and November 2019 were retrospectively analyzed. Fifty-seven cases were divided into the lymph node metastasis group (N+ group) while other 270 cases in the non-lymph node metastasis group (N-group) according to the pathologic diagnosis. Two radiologist evaluated the tumor characteristics of MRI images. The relationship of the clinical and imaging characteristics of lymph node metastasis was assessed by using univariate analysis and multivariable logistic regression analysis. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic abilities for the differentiation of N- from N+ tumors.Results:Among the 327 patients, MR-N evaluation was positive in 67 cases, which was statistically different from the pathological diagnosis ( P<0.001). The sensitivity, specificity and accuracy of MRI for lymph node metastasis were 45.6%, 84.8% and 78.0%, respectively. Multivariate regression analysis showed that tumor morphology ( P=0.002), including mucus or not ( P<0.001), and MR-N evaluation ( P<0.001) were independent influencing factors for stage T1-2 rectal cancer with lymph node metastasis. The area under the ROC curve of rectal cancer with lymph node metastasis analyzed by the logistic regression model was 0.786 (95% CI: 0.720~0.852). Conclusions:Tumor morphology, including mucus or not, and MR-N evaluation can serve as independent biomarkers for differentiation of N- and N+ tumors. The model combined with these biomarkers facilitates to improve the diagnostic accuracy of lymph node metastasis in T1-2 rectal cancers by using MRI.

Objective:To explore the diagnostic accuracy improved by magnetic resonance imaging (MRI) biomarkers for lymph node metastasis in T1-2 stage rectal cancer before treatment.Methods:Medical records of 327 patients with T1-2 rectal cancer who underwent pretreatment MRI and rectal tumor resection between January 2015 and November 2019 were retrospectively analyzed. Fifty-seven cases were divided into the lymph node metastasis group (N+ group) while other 270 cases in the non-lymph node metastasis group (N-group) according to the pathologic diagnosis. Two radiologist evaluated the tumor characteristics of MRI images. The relationship of the clinical and imaging characteristics of lymph node metastasis was assessed by using univariate analysis and multivariable logistic regression analysis. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic abilities for the differentiation of N- from N+ tumors.Results:Among the 327 patients, MR-N evaluation was positive in 67 cases, which was statistically different from the pathological diagnosis ( P<0.001). The sensitivity, specificity and accuracy of MRI for lymph node metastasis were 45.6%, 84.8% and 78.0%, respectively. Multivariate regression analysis showed that tumor morphology ( P=0.002), including mucus or not ( P<0.001), and MR-N evaluation ( P<0.001) were independent influencing factors for stage T1-2 rectal cancer with lymph node metastasis. The area under the ROC curve of rectal cancer with lymph node metastasis analyzed by the logistic regression model was 0.786 (95% CI: 0.720~0.852). Conclusions:Tumor morphology, including mucus or not, and MR-N evaluation can serve as independent biomarkers for differentiation of N- and N+ tumors. The model combined with these biomarkers facilitates to improve the diagnostic accuracy of lymph node metastasis in T1-2 rectal cancers by using MRI.