Objective The contents of 11 nucleosides and base components in 10 batches of samples from 5 provinces(cities)including Chongqing,Yunnan and Shaanxi were determined,and the differences in nucleosides and base components in Fritillaria taipaiensis were compared by chemometric analysis,and the quality was comprehensively evaluated,so as to provide a reference for the cultivation of excellent varieties and the selection of medicinal materials.Methods Nucleoside and base components were extracted from Fritillaria taipaiensis by ultrasonication in aqueous solutions,and the content of each component was determined by HPLC-DAD method.The origin was classified by principal component analysis(PCA)and hierarchical cluster analysis(HCA).Partial least squares discriminant analysis(PLS-DA)was used to determine the differentiated index components in Fritillaria taipaiensis.Then the differences in the contents of the index components among samples from different origins were compared.Results It was found that 11 nucleoside and base components differed significantly among different origins of Fritillaria taipaiensis.Principal component analysis and hierarchical cluster analysis indicated that all samples could be clustered into 4 categories.Five characteristic components,including uracil,cytosine,uridine,inosine,and adenosine,were identified by PLS-DA.The nucleosides and bases in samples from Chongqing and Hubei were relatively high,and the quality of the samples was comparatively superior.Conclusion This method is simple,reproducible,accurate and reliable.It has screened out the index nucleoside and base components in the identification of Fritillaria taipaiensis of different origins,which can be used to initially elucidate the differences of samples between different origins.Additionally,it can better reflect the quality of Fritillaria taipaiensis,and can provide reference for the selection of procurement origin and the quality control for Fritillaria taipaiensis.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Using high-energy proton to image the region of interest can directly obtain the accurate estimation of the proton stopping power of the lesions,which is of great significance to reduce the range uncertainty in proton therapy.As a fundamental function of proton computed tomography(CT),radiographic imaging plays a crucial role in assisting clinical positioning.The study develops a compact proton CT detector based on an active array pixel CMOS chip in Monte-Carlo simulation toolkit Geant4,and evaluates the radiographic imaging capability of the system using 180 MeV protons.The angles of tracks are successfully reconstructed.CTP404,CTP528,and the CTP515 of specific materials are used for simulation,obtaining the spatial and density resolutions,and measuring the proton relative stopping power(RSP).The image signal-to-noise ratio is improved when using 2° proton scattering angle cut-off value.The spatial resolution is 3-4 lp/cm measured using CTP528 module.The density resolution is better than 0.05 g/cm3,and the RSP resolution is within 5%when CTP404 module is used.Through the imaging of CTP515 phantom of specific material,it is demonstrated that the system has potential for imaging common human tissues.

Objective:To investigate the effect and molecular mechanism of high concentration of IL-17A on osteoclast differentiation by inhibiting autophagy of osteoclast precursor cells through PI3K/Akt pathway.Methods:With RANKL (50 ng/ml) inducing osteoclast precursor cells (osteoclast we cells, OCPs), osteoclast differentiation model is set up. In osteoclast differentiation model of high levels of IL-17A (100 ng/ml), RAW264.7 cells were divided into negative control CTR-N group, CTR-R group with RANKL, IL-17A group, IL-17A+LY294002 group. BMMs were divided into negative control CTR-N group with M-CSF, CTR-R group, IL-17A group and IL-17A+LY294002 group with M-CSF and RANKL. IL-17A was applied to OCPs, and tartrate-resistant acid phosphatase (TRAP) staining was used to observe the number of osteoclast differentiation. The number of autolysosomes was observed under transmission electron microscope. RAW264.7 was treated with IL-17A. Western blot was used to detect the relative expression levels of p-Akt/Akt, p-mtor/mTOR, p-PI3K/PI3K, p-ULK1/ULK1, Cleaved-caspase3/caspase3, Beclin1/β-actin. The apoptosis rate of RAW264.7 cells treated with IL-17A was detected by flow cytometry. OCPs were treated with IL-17A and PI3K inhibitor LY294002, and TRAP staining was used to observe the number of osteoclast differentiation.Results:The TRAP staining showed that the positive ratio for RAW264.7 cells CTR-N group, CTR-R group, IL-17A group was 1.33%±0.58%, 100%±3.01%, 51.11%±4.02% with that of IL-17A significantly lower than CTR-R group ( t=16.970, P<0.05). The positive rates of BMMs in the CTR-N group, CTR-R group and IL-17A group were 1.67%±0.58%, 100%±1.01% and 50.33%±2.52%, respectively, with that of IL-17A group significantly lower than CTR-R group ( t=31.770, P<0.05). Transmission electron microscopy showed that the number of autophagosomes in RAW264.7 cells in CTR-R group and IL-17A group were 3.67±1.53 and 0.67±0.58, respectively, with significant difference between the groups ( t=3.182, P<0.05). While in BMMs cells CTR-R group and IL-17 the numbers of autophagosome were 3.00±1.00 and 0.33±0.58 with significant difference ( t=4.000, P<0.05); Western blot results showed 0.69±0.03、0.69±0.13、1.47±0.13、0.78±0.04、0.66±0.10、0.82±0.03 for RAW264.7 cells CTR-R group Akt/Akt, p-mTOR/mTOR, p-PI3K/PI3K, p-ULK1/ULK1, Cleaved caspase3/caspase3, Beclin1/β-Actin and 0.89±0.04、1.14±0.18、1.87±0.04、0.53±0.09、0.93±0.02、0.54±0.03 for RAW264.7 cells IL-17A group p-Akt/Akt, p-mTOR/mTOR, p-PI3K/PI3K, p-ULK1/ULK1, Cleaved caspase3/caspase3, Beclin1/β-Actin with significant difference ( t=6.708; t= 3.497; t=5.424; t=4.542; t=4.638; t=11.220, all P<0.05); Flow cytometry detection showed that in CTR-R group, IL-17A RAW264.7 cells apoptosis rates of group A were 6.92%±0.62%, 12.12%±0.69%, with significant difference between the two groups ( t=9.747, P<0.05); After using LY294002 TRAP staining, it showed a positive result of 9.00%±2.00%, 158.33%±3.51%, 100%±2.65% and 128.99%±4.01% for CTR-N, CTR-R, IL-17A and IL-17A+LY294002 in RAW264.7 cells respectively with significant difference between IL-17A+LY294002 group and the IL-17A in group A ( t=10.470, P<0.05). For BMMs cells CTR-N, CTR-R group, IL-17A in group, IL-17A+LY294002 group, the positive rate was 8.01%±0.99%, 151.67%±4.51%, 100%±3.61%, with significant difference between IL-17A+LY294002 group and IL-17A group ( t=6.535, P<0.05). Conclusion:High concentration of IL-17A inhibits osteoclast differentiation by inhibiting autophagy of osteoclast precursor cells through PI3K/Akt pathway.

Objective: To investigate the delay in identification, healthcare-seeking, and definitive diagnosis of tuberculosis among students in Urumqi City from 2010 to 2019, and to identify the influencing factors, so as to provide insights into tuberculosis control among students. Methods: The demographic and diagnosis data of tuberculosis patients in Urumqi City from 2010 to 2019 were captured from the Tuberculosis Information Management System of Chinese Disease Control and Prevention Information System. The delay in identification, healthcare-seeking and definitive diagnosis of tuberculosis was analyzed among students, and the factors affecting the delay in identification, healthcare-seeking and definitive diagnosis of tuberculosis were identified using a multivariable logistic regression model. Results: A total of 996 tuberculosis cases were identified among students in Urumqi City from 2010 to 2019. There were 702 students with delay in identification of tuberculosis (70.48%), 500 students with delay in healthcare-seeking (55.22%) and 534 students with delay in definitive diagnosis (53.61%). Multivariable logistic regression analysis identified active identification (OR=0.116, 95%CI: 0.032-0.420) as a factor affecting delay in identification of tuberculosis, women (OR=1.424, 95%CI: 1.104-1.836), non-local household registration (OR=1.311, 95%CI: 1.016-1.694) and active identification (OR=0.232, 95%CI: 0.064-0.848) as factors affecting delay in healthcare-seeking, and active identification (OR=0.143, 95%CI: 0.032-0.644) as a factor affecting delay in definitive diagnosis of tuberculosis among students. Conclusions There is a high proportion of delay in identification, healthcare-seeking and definitive diagnosis of tuberculosis among students in Urumqi City from 2010 to 2019, and female and non-locally household-registered students were at a high risk of delay in healthcare-seeking for tuberculosis. Active detection and screening of tuberculosis should be reinforced.

【Objective】 To study the effect of intravenous immunoglobulin(IVIG) on the detection of blood transfusion compatibility in patients. 【Methods】 56 patients, submitted to our Hospital from March 1, 2017 to December 31, 2020, were enrolled as the research objects. They had negative unexpected antibody screening, major crossmatch incompatibility with the same blood type donors, and had a history of IVIG infusion. ABO and RhD blood groups typing, unexpected antibodies screening, crossmatch, direct antiglobulin test, indirect antiglobulin test, and acid elution test were all conducted by microcolumn gel method. 【Results】 After IVIG infusion, the initially major crossmatch incompatibility with the same blood type donors turned into compatiblity with O-type donors. Among them, 2 patients had transient discrepancy in ABO forward and reverse blood typing due to the IVIG infusion. IgG anti-A were detected in the red blood cell elution of 37 A-type patients; IgG anti-B in 2 B-type patients; 3 cases of IgG anti-A+ anti-B and 14 cases of solo IgG anti-A in 17 AB-type patients. 3 batches of IVIG preparations were detected randomly, IgG anti-A titer was 32-64, and IgG anti-B titer was 8-16. 【Conclusion】 The discrepancy in ABO forward and reverse blood typing and major crossmatch incompatibility with the same blood type donors may occur after non-O type patients received IVIG, which contains IgG types of anti-A and anti-B. In this situation, it is recommended to prepare major crossmatched O-type washed red blood cells to ensure the safety and effectiveness of clinical blood transfusion.

【Objective】 To explore the influencing factors of perioperative red blood cell transfusion in patients underwent lung transplantation, so as to provide reference for perioperative blood management (PBM) of lung transplantation patients. 【Methods】 The clinical data of 173 lung transplant patients completed in China-Japan Friendship Hospital from March 2017 to June 2019 were retrospectively analyzed. The patients were divided into two groups according to perioperative red blood cell transfusion volume: large blood transfusion group (transfusion red blood cell volume ≥6 U, n=66) and non-large blood transfusion group (red blood cell transfusion volume <6 U, n=107). The basic information, preoperative laboratory test results, and surgical status of the two groups were statistically analyzed.The clinical data of the two groups were analyzed by univariate analysis. The factors of P<0.15 were included in the binary logistic regression analysis, and the independent influencing factors of perioperative massive blood transfusion in patients with lung transplantation were found. 【Results】 Univariate analysis of clinical data of the two groups of patients (large blood transfusion group vs. non-large blood transfusion group) showed that the differences of smoking history ratio [44(66.7%) vs 87(81.3%)], BMI(20.8±4.5 vs 22.5±4.0)(P<0.05), preoperative Hb [124(111, 138.8) vs 138(126, 149)], preoperative Hct [37.9(34.8, 42.5) vs 41.3(37.9, 44.6)], surgery duration(327.9±107.7 vs 238.4±77.0), intraoperative blood loss(1 108.6±1342.0 vs 341.8±270.8) and single lung transplantation [28(42.4%) vs 84(78.5%)] (P<0.01) were statistically significant. Logistic regression analysis showed that intraoperative blood loss (OR=1.001, P<0.05), surgery duration (OR=1.006, P<0.05), preoperative Hb (OR=0.973, P<0.01), lung transplantation type(single or double lung transplantation)( OR=0.247, P<0.05) and extracorporeal membrane oxygenation (ECMO) (OR=0.187, P<0.01) were independent factors influencing red blood cell transfusion during lung transplantation. 【Conclusion】 Intraoperative blood loss and surgery duration are risk factors for massive blood transfusion during the perioperative period. And the use of ECMO, preoperative Hb, single lung transplantation (compared to double lung transplantation) are protective factors for perioperative massive blood transfusion.

Objective:To evaluate perioperative coagulatory parameters and transfusion rates of lung transplantation recipients.Methods:Clinical data were retrospectively reviewed for 178 lung transplant recipients at China-Japan Friendship Hospital from March 2017 to July 2019. According to whether extracorporeal membrane oxygenation(ECMO)was used during perioperative period, they were divided into two groups of ECMO(131 cases)and without ECMO(47 cases). Clinical data, laboratory examinations and blood transfusion status of two groups were compared. In ECMO group, excluding secondary thoracotomy for hemostasis(7 cases)and incomplete data(2 cases), the remainders were divided into the groups of no red blood cell transfusion(63 cases), red blood cell transfusion(59 cases), plasma transfusion <1 000 ml(99 cases)and plasma transfusion≥1 000 ml (23 cases), no platelet transfusion(93 cases)and platelet transfusion(29 cases). Clinical data, laboratory examinations and ECMO-related parameters of recipients were analyzed by Bary Logistic regression.Results:Statistically significant inter-group differences existed in body mass index(BMI), disease course, primary disease, bilateral lung transplantation, laboratory examinations, postoperative blood transfusion volume, postoperative red blood cell and plasma transfusion ratio between groups with and without ECMO( P<0.05). Bilateral lung transplantation, ASA grade, differences in BMI, disease course, postoperative hemoglobin<100 g/L, postoperative PT/APTT/INR abnormalities and postoperative PLT count <100×10 9/L were independent risk factors for postoperative transfusion during ECMO. Conclusions:The application of ECMO during lung transplantation may affect the perioperative transfusion volume and demand.Fully assessing blood transfusion requirements, optimizing coagulation monitoring and identifying the independent influencing factors of postoperative blood transfusion facilitate clinical scientific and rational blood transfusions.

Human infection with avian influenza A (H7N9) is easy to induce severe acute respiratory distress syndrome (ARDS), and traditional mechanical ventilation cannot correct hypoxemia, so patients may die from multiple organ failure (MOF) caused by persistent hypoxia. Extracorporeal membrane oxygenation (ECMO) can provide effective respiratory support and win time for the treatment of severe H7N9. The first case of severe H7N9 in Guangdong Province in 2018 was admitted to Zhongshan Hospital Affiliated to Sun Yat-sen University. The case was insult with severe ARDS caused by H7N9, the traditional mechanical ventilation could not correct hypoxemia, and the lung condition gradually improved with ECMO assistance. After 13 days of ECMO support, the patient was successfully weaned from ECMO and was transferred to a general ward after 55 days. After 102 days of rehabilitation, the patient was discharged from hospital and followed up for 2 months, who was in good health and had a good quality of life. This article states the diagnosis and treatment of severe H7N9 in details, providing experience for the treatment of severe H7N9 in the future.