ABSTRACT
【Objective】 To analyze the application effect of intelligent information system of transfusion reactions(referred to as the system) in the supervision and management of transfusion reactions. 【Methods】 A retrospective analysis was conducted on the clinical data of a total of 67 914 blood transfusion patients in our hospital from January 2018 to August 2023. The patients were divided into the control group (n =36 367, with conventional transfusion management) and the observation group (n =31 547, with management by the system).The incidence of adverse reactions, the supervision and management scores, reporting time and processing time of adverse reactions, and patient satisfaction with blood transfusion in the two groups was observed. 【Results】 The incidence of transfusion reactions in the observation group and the control group was 0.23% (72/31 547) and 0.24% (86/36 367), with no statistically significant difference (P>0.05). The quality scores of the reporting, registration, processing and supervision, and the total scores of the observation group were higher than those of the control group:(21.46±2.76) vs (17.38±2.74) points, (21.65±2.80) vs (16.98±3.20) points, (22.30±2.42) vs (18.80±3.15) points, (22.85±2.10) vs (18.55 ± 3.06) points, and (90.38±5.96) vs (75.26 ± 6.10) points, with statistically significant difference(P<0.05). The reporting time and processing time of transfusion reactions in the observation group were shorter than those in the control group: (3.26±0.45) vs (7.25±1.26) minutes, (10.38±2.96) vs (20.26±2.10) minutes, with statistically significant differences (P<0.05). The satisfaction rate with blood transfusion of the observation group was 99.95% (31 532/31 547), higher than 99.62% (36 229/36 367) of the control group, with significant difference (P<0.05). 【Conclusion】 The application of the system in the supervision and management of transfusion reactions has achieved ideal results, including improving the quality of monitoring and management, shortening the reporting and processing time of transfusion reactions, and improving patient satisfaction with transfusion, which is worth popularizing.
ABSTRACT
ObjectiveTo investigate the relative content changes of differential metabolites and reducing sugars during the processing process of Rehmanniae Radix Praeparata （RRP） processed with Amomi Fructus （AF） and Citri Reticulatae Pericarpium （CRP）， and to lay the foundation for revealing the processing principle of this characteristic variety. MethodThe samples of the 0-54 h processing process of RRP processed with AF and CRP were taken as the research object， and their secondary metabolites were detected by ultra performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS）. The 0.1% formic acid aqueous solution （A）-acetonitrile （B） was used as the mobile phase for gradient elution （0-1 min， 1%-3%B； 1-10 min， 3%-9%B； 10-15 min， 9%-12%B； 15-22 min， 12%-18%B； 22-31 min， 18%-24%B； 31-35 min， 24%-100%B； 35-36 min， 100%-5%B； 36-40 min， 5%-1%B； 40-45 min， 1%B）， column temperature was 40 ℃， injection volume was 3 μL， flow rate was 0.3 mL·min-1. Electrospray ionization （ESI） was used to scan and collect MS data in the negative ion mode， the scanning range was m/z 50-1 250. Data analysis was carried out using PeakView 1.2 software， and the chemical composition of RRP processed with AF and CRP was identified by combining the literature information and chemical composition databases. The MS data were normalized by MarkerView 1.2， and then the multivariate statistical analysis was applied to screen the differential metabolites， and the changes of the relative contents of the differential metabolites with different processing times was analyzed， finally， correlation analysis was performed between the differential metabolites， the change of the reducing sugar content was combined to determine the most suitable processing time of RRP processed with AF and CRP. ResultA total of 121 compounds were identified from RRP processed with AF and CRP at different processing times， and 12 differential metabolites were screened out by multivariate statistical analysis， including catalpol， hesperidin， isoacteoside， acteoside， narirutin， echinacoside， isomartynoside， decaffeoylacteoside， 6-O-E-feruloylajugol， dihydroxy-7-O-neohesperidin， jionoside D， and rehmapicroside. With the prolongation of processing time， the relative contents of these 12 differential metabolites and reducing sugars changed slightly at 52-54 h. ConclusionUPLC-Q-TOF-MS can comprehensively and accurately identify the chemical constituents of RRP processed with AF and CRP at different processing times， and the suitable processing time of 52-54 h is determined according to the content changes of different metabolites and reducing sugars， which provides a basis for revealing the scientific connotation of the processing principle of this variety.
ABSTRACT
OBJECTIVE：To study the co rrelation of the chro maticity value of Schizonepeta tenuifolia charcoal of different processing time（0-40 min，similarly herein after）with multiple indicators ，and to reveal the quality change law of S. tenuifolia charcoal during processing and confirm the terminal time. METHODS ：The contents of ethanol-soluble extracts from S. tenuifolia charcoal decoction pieces of different processing time were determined. UPLC fingerprint of S. tenuifolia decoction pieces and S. tenuifolia charcoal decoction pieces of different processing time were established ，and the similarity evaluation was also conducted. The chromatographic peaks were confirmed by comparison with substance control. The same UPLC conditions were used to determine the contents of index components （hesperidin，rosmarinic acid ，menthone）in S. tenuifolia charcoal decoction pieces of different processing time. The colorimetric method was used to measure the chromaticity value of S. tenuifolia charcoal decoction pieces of different processing time. Meanwhile ，sample of processing 0 min was used as a control to calculate the total color value （E）and the total color difference value （ΔE）. Pearson correlation analysis ，cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）were performed on the ethanol-soluble extracts ，index component contents ，chromatographic peak area and chromaticity value. The terminal time of processing S. tenuifolia charcoal was conf irmed，and validation test was also conducted. RESULTS ：With the extension of processing time ， the content of ethanol-soluble extract in S. tenuifolia charcoal qq.com decoction pieces gradually decreased. A total of 17 chromato- graphic peaks were identified in 12 batches of S. tenuifolia decoction piece ，and its si milarity with the control fingerprint was greater than 0.9. 21 chromatographic peaks were identified in S. tenuifolia charcoal decoction pieces of different processing time，and its similarity with the chromatogram of sample of processing 0 min decreased with the processing time ，and the similarity after 18 min was lower than 0.9. The chromatographic peak 9 was hesperidin ，peak 10 was rosmarinic acid and peak 17 was menthone. The determination of content and chromaticity value showed that with the extension of processing time ，the contents of hesperidin ，rosmarinic acid and menthone decreased gradually ；the color L，b and E values of S. tenuifolia charcoal decoction piece powder decreased gradually ，and the a and ΔE values increased gradually. Pearson correlation analysis showed that the contents of ethanol-soluble extract ，hesperidin，rosmarinic acid and menthone ，the peak areas of 15 chromatographic peaks （peak 2，7-15，17-21）were significantly positively correlated with E value（P＜0.01）；the peak areas of 5 chromatographic peaks （peak 1，3-6）were significantly negatively correlated with E value（P＜0.01），but peak area of peak 16 was not related to E value（P＞ 0.05）. Results of cluster analysis showed that S. tenuifolia charcoal decoction pieces of different processing time were divided into 2 categories；the first category was processed for 0-16 min，and the second category was processed for 18-40 min. The results of OPLS-DA showed that the VIP values of peak 6 area（2.800 75），L value（2.327 54），peak 3 area（1.793 39），b value（1.735 78） and peak 5 area（1.244 04）were greater than 1. The final processing time of S. tenuifolia charcoal was 18 min. The results of validation experiment showed that the L，a and b values of S. tenuifolia charcoal decoction piece were 20.22-22.00，4.44-7.67， 9.78-13.00，and ΔE were 13.50-14.12，respectively. CONCLUSIONS ：The chromaticity value of S. tenuifolia charcoal decoction pieces of different processing time is closely related to the contents of ethanol-soluble extract ，hesperidin，rosmarinic acid ， menthone and the area of 20 chromatographic peaks. It is suggested that the terminal time of processing S. tenuifolia is 18 min.
ABSTRACT
To standardize the processing technology of Polygoni Multiflori Radix Praeparata and stabilize its quality, the similar change laws of Polygoni Multiflori Radix Praeparata with different processing methods and time were analyzed. The processing time of Polygoni Multiflori Radix Praeparata was studied at 24, 32, 40, 48 h, and 4 different processing methods were studied, namely stewed with black bean sauce, steamed, steamed with black bean sauce, and steamed with black bean sauce and rice wine. The content of stilbene glycosides and anthraquinones were determined by HPLC-DAD method. UV method was used to determine the content of polysaccharides, and HPLC-ELSD method was used to determine the monosaccharides and oligosaccharides. The comparative chart of content determination, cluster analysis and entropy weight TOPSIS model was used to find the similar change laws and time interval of different processing methods of Polygoni Multiflori Radix Praeparata. The results demonstrated that around 32 h, the content of nine components in Polygoni Multiflori Radix Praeparata with different processing methods had similar change laws, and the decoction pieces had a high quality, indicating that the four processing methods of Polygoni Multiflori Radix Praeparata are likely to be used as one type of decoction piece with the same name.
Subject(s)
Chromatography, High Pressure Liquid , Drugs, Chinese Herbal , Glycosides , Plant Roots , PolygonumABSTRACT
Objective:To help clinicians simplify the post-processing operations of structures by developing rapid processing software for target area and organs at risk structures based on ESAPI.Methods:SmartStructure script software was developed based on ESAPI, verified and evaluated in clinical work. 10 cases of rectal cancer receiving neoadjuvant radiotherapy, 10 breast cancer treated with postoperative radiotherapy, 10 cervical cancer receiving postoperative radiotherapy, 10 nasopharyngeal carcinoma receiving radical radiotherapy and 10 lung stereotactic body radiotherapy (SBRT) were selected, and different types of tumors had different post-processing operations of structures. In each case, three methods were used for post-processing of structures. In the control group (manual group), normal manual processing was employed. In the experimental group 1(SmaStru-N group), scripts without templates were utilized. In the experimental group 2(SmaStru-P group). scripts combined with templates were adopted. The processing time of the three methods was compared. Clinicians scored the scripting software from multiple aspects and compared the feeling scores of scripting software and manual operation.Results:All three methods can be normally applied in clinical settings. The error rate in the manual group was 7.0%, 3.0% in the SmaStru-N group 0% in the SmaStru-P group, respectively. Compared with the manual method, SmaStru-N shortened the processing time of target area and organs at risk by 60.9% and 93.3% for SmaStru-P. In addition, SmartStructure was superior to manual method in terms of using feeling scores. Clinicians gave lower score for the" applicability" and" simplicity" , and higher score on the" accuracy" and" efficiency" .Conclusions:Compared with conventional manual structure processing method, SmartStructure software can rapidly and accurately process all structures of the target area and organs at risk, and its advantages become more obvious with the increasing number of structures that need to be processed. SmartStructure software can meet clinical requirements, reduce the error rate, elevate processing speed, improve the working efficiency of clinicians, providing basis for the development of adaptive radiotherapy.
ABSTRACT
Objective To study the effect of processing time on the content of five active ingredients in vine-gar frankincense.Methods Acetic acid,3－acetyl－β－lactic acid,3－acetyl－α－lactic acid,11－carbonyl－β－lactic acid 5 kinds of active ingredients in vinegar frankincense were determined.Results The results showed that four kinds of lactic acid (α－boswellic acid,β－boswellic acid,3－acetyl－β－lactic acid and 3－acetyl－α－lactic acid)showed an increasing trend (from 16.88mg/g to 23.05mg/g,40.35mg/g to 61.05mg/g,11.02mg/g to 18.17mg/g,19.78mg/g to 25.08mg/g),11－carbonyl－β－lactic acid showed a decreasing trend (6.98mg/g to 5.86mg/g),with the increasing of processing time (5,10,15,20 and 30min).Conclusion 30 min was the best time to prepare the balsamic vinegar frankincense.
ABSTRACT
@#Introduction: Fresh frozen plasma (FFP) is prepared within 8-10 hours after collection to ensure preservation of coagulation factors however, adherence to this time is a challenge. Extended processing time is an option to overcome it. This study was done to evaluate haemostatic proteins after extended time. Methods: Blood collected from a mobile donation centre was divided into three (3) groups before processed into plasma. Group 1 (n=42) was prepared within 8 hours post collection. Group 2 (n=42) was prepared after overnight and stored at room temperature. Group 3 (n=42) was prepared after overnight but stored at 2-6⁰C. Plasma haemostatic proteins were measured in all groups and mean activity of each level was compared using One-way ANOVA. Results: There was no reduction in all the haemostatic proteins in plasma prepared from overnight storage (Groups 2 and 3) compared to Group 1 except for Factors VIII and V whilst PT was not significantly prolonged. aPTT was significantly prolonged in both Groups 2 and 3 compared to Group 1. There were 25.7% and 35.2% reduction of Factor VIII levels in Groups 2 and 3 respectively, however levels were above 60%. There is 8.7% reduction in Factor V level but the mean factor activity was above 90%. Comparing Groups 2 and 3, there was no significant difference in activity of all haemostatic proteins. Conclusions: Haemostatic proteins are preserved in plasma prepared from blood stored overnight. Prolongation of the APTT is reflected by reduction in Factor VIII activity but still within the normal reference range.
ABSTRACT
To study 48 h processing time of Polygoni Multiflori Radix on its contents and changes of chemical components. HPLC was used to determine the contents of various components in 22 Polygoni Multiflori Radix samples with different processing time, and then the fingerprint similarity analysis and clustering analysis were used for characteristics analysis. Results showed that the similarity was between 0.9-1.0, with good correlation between the samples. In the clustering analysis, the 22 Polygoni Multiflori Radix and processed Polygoni Multiflori Radix samples were classified into 4 types according to the composition changes. The results demonstrated that 4-5 h was the best processing time, providing references for quality control and further study of Polygoni Multiflori Radix.