In this study,the similarities and differences of plasma collection and quality control in China and abroad were analyzed by comparing the related regulations,standards,guidelines and literatures.Rational and constructive suggestions were proposed,aiming to optimize domestic plasma management and promote the improvement of plasma-related standards.There was little difference on facilities and safety control process of plasma between China and the developed countries(United States,EU and Japan),However,significant differences existed on plasma station setting,donor screening standards,collection interval,volume limits,plasma testing modes and tests,plasma quarantine standard and utilization of recovered plasma.The United States sets the industry benchmark and is worthy of reference for our country both in plasma collection and quality control.

Objective To compare the value of Logistic regression model and XGBoost model in predicting the risk of thrombosis in elderly patients with CHF complicated with LRTI.Methods A total of 138 elderly CHF patients with LRTI admitted to our department from April 2019 to April 2024 were prospectively enrolled,and divided into thrombus group(43 cases)and non-thrombus group(95 cases)according to whether thrombosis occurred.Clinical data of these pa-tients were collected,and two risk prediction models of thrombosis in these patients were con-structed based on logistic regression and XGBoost regression,respectively.The predictive value was compared between the two models.Results The thrombus group had higher neutrophil count,NLR,and CRP,D-D and vWF levels,and increased MA,estimated dissolution percentage,and percentage LY30,but K and R and lower coagulation index than the non-thrombus group(P＜0.01).NLR,CRP,D-D,vWF,LY30,K and R were influencing factors for thrombosis in the elderly CHF patients with LRTI(P＜0.05,P＜0.01).The AUC value of the multivariate logistic regression model and XGBoost model in predicting thrombosis in the patients was 0.915(95％CI:0.861-0.986)and 0.894(95％CI:0.841-0.971),respectively,with a sensitivity of 85.40％and 88.90％and a specificity of 96.50％and 82.30％,respectively.There was no statistical difference in AUC value between the two models(Z=0.573,P=0.678).Hosmer Lemeshow test showed the differences were not significant in the calibration curves of the multivariate logistic regression model and XGBoost model(x2=0.485,P=0.452;x2=0.669,P=0.335).Conclusion Multivari-ate logistic regression model and XGBoost model show equivalent efficacy in predicting thrombo-sis in CHF patients with LRTI.Abnormal levels of NLR,CRP,D-D,vWF,LY30,K,and R are im-portant factors affecting thrombosis in these elderly patients.

Objective To compare the efficacy of multivariate logistic regression and XGBoost models in predicting major adverse cardiovascular events(MACE)after percutaneous coronary in-tervention(PCI)in elderly patients with coronary artery calcification(CAC).Methods A total of 120 elderly patients with CAC lesions undergoing PCI in our hospital from June 2020 to June 2023 were retrospectively enrolled in this study.The incidence of MACE was observed during 1 year of follow-up.Nine patients were lost during the period,and the left patients were divided into MACE group(28 patients)and non-MACE group(83 patients).Multivariate logistic regression analysis and XGBoost model were used to screen the influencing factors of MACE in elderly CAC patients after PCI.ROC curve and calibration curve were drawn to compare the predictive efficiency of the two models.Results The MACE group had significantly advanced age,larger proportions of smoking and diabetes,higher LDL-C and Gensini score,and increased ratios of diseased vessels ≥3,severe calcification,combined rotary grinding and number of stent implantation when compared with the non-MACE group(P＜0.05,P＜0.01).Multivariate logistic regression model showed that smoking,diabetes,LDL-C,Gensini score,and number of stents implanted were independent risk factors for MACE in CAC patients after PCI(P＜0.05,P＜0.01).XGBoost model indicated that the top five important feature scores were Gensini score of 35,number of stent implantation score of 25,combined diabetes score of 22,smoking score of 18,and LDL-C score of 15.ROC curve analysis revealed that the AUC value of multivariate logistic regression model in predicting MACE in elderly CAC patients after PCI was 0.925(95％CI:0.859-0.966),with a sensitivity of 82.14％and a specificity of 97.59％,and the value of the XGBoost model was 0.918(95％CI:0.850-0.961),with a sensitivity of 89.29％and a specificity of 78.31％.There was no significant difference in predictive efficacy between the two models(Z=0.148,P=0.8823).Conclusion Multiple logistic regression model and XGBoost model show equally efficacy in predicting MACE in elderly CAC patients after PCI.Smoking,diabetes,LDL-C,Gensini score and number of stents implanted are independent risk factors for MACE in the patients.

In this study,the similarities and differences of plasma collection and quality control in China and abroad were analyzed by comparing the related regulations,standards,guidelines and literatures.Rational and constructive suggestions were proposed,aiming to optimize domestic plasma management and promote the improvement of plasma-related standards.There was little difference on facilities and safety control process of plasma between China and the developed countries(United States,EU and Japan),However,significant differences existed on plasma station setting,donor screening standards,collection interval,volume limits,plasma testing modes and tests,plasma quarantine standard and utilization of recovered plasma.The United States sets the industry benchmark and is worthy of reference for our country both in plasma collection and quality control.

Objective To compare the efficacy of multivariate logistic regression and XGBoost models in predicting major adverse cardiovascular events(MACE)after percutaneous coronary in-tervention(PCI)in elderly patients with coronary artery calcification(CAC).Methods A total of 120 elderly patients with CAC lesions undergoing PCI in our hospital from June 2020 to June 2023 were retrospectively enrolled in this study.The incidence of MACE was observed during 1 year of follow-up.Nine patients were lost during the period,and the left patients were divided into MACE group(28 patients)and non-MACE group(83 patients).Multivariate logistic regression analysis and XGBoost model were used to screen the influencing factors of MACE in elderly CAC patients after PCI.ROC curve and calibration curve were drawn to compare the predictive efficiency of the two models.Results The MACE group had significantly advanced age,larger proportions of smoking and diabetes,higher LDL-C and Gensini score,and increased ratios of diseased vessels ≥3,severe calcification,combined rotary grinding and number of stent implantation when compared with the non-MACE group(P＜0.05,P＜0.01).Multivariate logistic regression model showed that smoking,diabetes,LDL-C,Gensini score,and number of stents implanted were independent risk factors for MACE in CAC patients after PCI(P＜0.05,P＜0.01).XGBoost model indicated that the top five important feature scores were Gensini score of 35,number of stent implantation score of 25,combined diabetes score of 22,smoking score of 18,and LDL-C score of 15.ROC curve analysis revealed that the AUC value of multivariate logistic regression model in predicting MACE in elderly CAC patients after PCI was 0.925(95％CI:0.859-0.966),with a sensitivity of 82.14％and a specificity of 97.59％,and the value of the XGBoost model was 0.918(95％CI:0.850-0.961),with a sensitivity of 89.29％and a specificity of 78.31％.There was no significant difference in predictive efficacy between the two models(Z=0.148,P=0.8823).Conclusion Multiple logistic regression model and XGBoost model show equally efficacy in predicting MACE in elderly CAC patients after PCI.Smoking,diabetes,LDL-C,Gensini score and number of stents implanted are independent risk factors for MACE in the patients.

Cancer-related depression (CRD) is a common pathological depression in the diagnosis and treatment of malignant tumors and an important factor affecting the progression and treatment of tumor diseases. Abdominal vibration therapy was developed from Professor Zang's loose vibration method. It is a set of techniques that mainly operates by vibrating the Shenque point; dredging meridians; and rubbing, pushing, and holding the abdomen. This therapy has unique advantages in the treatment of emotional diseases likely because it can stimulate the abdomen; tonify the spleen and stomach; and regulate the gut organs, the qi mechanism, and vitality. On the basis of the structure of the brain-gut axis, it regulates the inflammatory response then realizes the purpose of intervening in CRD.

Objective To perform on-site calibration of high-pressure ionization chambers and NaI(Tl) γ spectrometers in state-controlled atmospheric radiation environment automatic continuous monitoring stations and verify the reliability of the online radiation environment monitoring system. Methods ¹³⁷Cs, ⁶⁰Co, and ²⁴¹Am were used as γ reference radiation sources to measure the metrological performance of high-pressure ionization chambers in nine state-controlled atmospheric radiation environment automatic monitoring stations in Hubei Province, China. The performance metrics included background radiation, response, and repeatability. Additionally, the correlation between dose rate and humidity was analyzed, and the energy resolution and activity response of NaI(Tl) γ spectrometers were measured. Results Among the nine state-controlled atmospheric radiation environment automatic monitoring stations, the background radiation of high-pressure ionization chambers ranged from 58.2 nGy/h to 82.6 nGy/h. The response of the high-pressure ionization chambers ranged from 0.94 to 1.08, fulfilling the requirement of 1.0 ± 0.2. The repeatability of high-pressure ionization chambers ranged from 0.43% to 3.80%, satisfying the requirement of not exceeding 10%. A significant correlation was observed between dose rate and humidity, with a correlation coefficient of 0.4476. For NaI(Tl) γ spectrometers, the energy resolution ranged from 6.8% to 7.9%, fulfilling the requirement of not exceeding 9% for the 661.7 keV energy peak of ¹³⁷Cs. The NaI(Tl) γ spectrometers showed 1.4% to 1.8% s⁻¹·Bq⁻¹ activity response to ²⁴¹Am and 6.6‰ to 8.4‰ s⁻¹·Bq⁻¹ activity response to ⁶⁰Co. Conclusion The online monitoring systems in the nine state-controlled atmospheric radiation environment automatic monitoring stations are stable and reliable, providing accurate radiation environment monitoring data for public awareness.

Objective:To perform routine plasma test, SARS-CoV-2 nucleic acid test, and respiratory pathogenic microorganism nucleic acid test on plasma samples collected from 1 040 healthy plasma donors in winter.Methods:Plasma samples were collected from 1 040 healthy plasma donors at Yunmeng Plasma Collection Station in the winter of 2020. Routine plasma test, HBV/HCV/HIV nucleic acid test, SARS-CoV-2 nucleic acid test, and 22 respiratory pathogenic microorganism nucleic acid test were performed to analyze the quality of blood plasmas.Results:All plasma samples were qualified in the routine tests, meeting the requirements of the Chinese Pharmacopoeia, and tested negative for SARS-CoV-2 nucleic acid. Respiratory pathogenic microorganism nucleic acids were detected in 29 samples with a positive rate of 2.79% (29/1 040). There were 21 cases of simple virus infections, including 17 cases of coronavirus subtype infection, three cases of parainfluenza virus type 2 infection, and one case of human bocavirus infection. Eight cases were mixed infections of viruses and bacteria, four of which were viral infection combined with Bordetella pertussis. The 29 positive samples were collected from people of different age groups, including two from 31-40 years old (1.96%, 2/102 ), three from 41-50 years old (1.59%, 3/189), five from 51-55 years old (1.94%, 5/257), and 19 from 56-60 years old (4.59%, 19/414). Samples from the people aged 56-60 years accounted for the most (39.81%, 414/1 040), as well as the infection rate in this age group. Conclusions:In autumn and winter, respiratory pathogenic microorganism nucleic acid test should be performed when collecting plasma samples from donors aged 56-60 years in addition to meeting the requirements of the Chinese Pharmacopoeia. It is also suggested to conduct respiratory pathogenic microorganism nucleic acid test on pooled plasma and blood products.

Objective : To investigate the distribution of solute carrier organic anion transporter family member 1B1(SLCO1B1) and apolipoprotein E(ApoE) gene polymorphisms in the patients of Han ethnic group with cardiovascular and cerebrovascular diseases from Anhui Province, in order to provide the basis for the individualized therapy of statins in clinical practice. Methods: 924 Han patients with cardiovascular and cerebrovascular diseases were selected. The SLCO1B1 and ApoE genotypes of the patients were detected by polymerase chain reaction-fluorescent probe method, and their distribution was compared among different genders and other regions in China. Results: Seven SLCO1B1 gene subtypes were detected in 924 patients, including *1a/*1b(33.01%),*1b/*1b(41.45%), *1b/*15(12.34%), *1a/*1a(7.03%), *1a/*15(5.52%), *15/*15(0.54%) and *5/*5(0.11%), without detection of the two gene subtypes of *1a/*5 and *5/*15; the normal metabolic genotype I of SLCO1B1(*1a/*1a, *1a/*1b, *1b/*1b) accounted for the highest proportion in this population(81.49%), the intermediate metabolic genotype II and the weak metabolic genotype III of SLCO1B1 accounted for 17.86% and 0.65% respectively; six ApoE gene subtypes were detected, including E3/E3(66.78%), E3/E4(19.37%), E2/E3(9.63%), E4/E4(1.84%), E2/E4(1.73%) and E2/E2(0.65%); the E3 mass genotype(E2/E4, E3/E3) accounted for the highest proportion in this population(68.51%); there was no significant difference in the distribution of SLCO1B1 and ApoE genes between different genders; there was no significant difference in the distribution of SLCO1B1 between the Han population from Anhui and the South China and Central China, but a significant difference was found between the Anhui Han population and the Southwest China(P<0.05); the distribution of ApoE in the Anhui Han population demonstrated no statistically significant variation from those in South China and Southwest China, whereas significant differences were observed in comparison with Central China(P<0.05). Conclusion In the Han population with cardiovascular and cerebrovascular diseases in Anhui, the distributions of SLCO1B1 and ApoE gene polymorphisms show no significant gender differences but exhibit regional variations. These populations are predominantly characterized by class I normal metabolic genotype(SLCO1B1) and E3 mass genotypes(ApoE), indicating a higher tolerance to statin dosages and normal therapeutic efficacy in this cohort.

Objective To compare the value of Logistic regression model and XGBoost model in predicting the risk of thrombosis in elderly patients with CHF complicated with LRTI.Methods A total of 138 elderly CHF patients with LRTI admitted to our department from April 2019 to April 2024 were prospectively enrolled,and divided into thrombus group(43 cases)and non-thrombus group(95 cases)according to whether thrombosis occurred.Clinical data of these pa-tients were collected,and two risk prediction models of thrombosis in these patients were con-structed based on logistic regression and XGBoost regression,respectively.The predictive value was compared between the two models.Results The thrombus group had higher neutrophil count,NLR,and CRP,D-D and vWF levels,and increased MA,estimated dissolution percentage,and percentage LY30,but K and R and lower coagulation index than the non-thrombus group(P＜0.01).NLR,CRP,D-D,vWF,LY30,K and R were influencing factors for thrombosis in the elderly CHF patients with LRTI(P＜0.05,P＜0.01).The AUC value of the multivariate logistic regression model and XGBoost model in predicting thrombosis in the patients was 0.915(95％CI:0.861-0.986)and 0.894(95％CI:0.841-0.971),respectively,with a sensitivity of 85.40％and 88.90％and a specificity of 96.50％and 82.30％,respectively.There was no statistical difference in AUC value between the two models(Z=0.573,P=0.678).Hosmer Lemeshow test showed the differences were not significant in the calibration curves of the multivariate logistic regression model and XGBoost model(x2=0.485,P=0.452;x2=0.669,P=0.335).Conclusion Multivari-ate logistic regression model and XGBoost model show equivalent efficacy in predicting thrombo-sis in CHF patients with LRTI.Abnormal levels of NLR,CRP,D-D,vWF,LY30,K,and R are im-portant factors affecting thrombosis in these elderly patients.