Objective: To compare the Reveos automated blood processing system with the current method, and to evaluate the feasibility and validity of using the Reveos system for blood component preparation. Methods: Forty units of 400 mL whole blood samples were divided into two groups: 2C group (for two-component preparation) and 3C group (for three-component preparation). Each group was further divided into a Reveos subgroup and a control subgroup. Blood components were prepared using the Reveos system and the current centrifugation method respectively. The 2C group yielded suspended red blood cells and plasma, while the 3C group yielded suspended red blood cells, plasma, and platelets. Key quality indicators for red blood cells, plasma, and platelets were measured before and after separation. Inter-group differences were analyzed using SPSS 25.0. Results: The trend of changes in the main performance indicators of red blood cells, plasma, and platelets before and after separation was generally consistent between the Reveos group and the control group, with no significant differences for most performance indicators. The Reveos system outperformed the current method in several aspects: in the 3C group, the hematocrit (Hct) was significantly higher in the Reveos group than in the control group [(62.82%±1.64%) vs (53.62%±3.04)%, P<0.001]; the white blood cell count in red blood cell suspensions was significantly lower than that in the control group [(3.37±1.42)×10 /L vs (8.42±2.30)×10 /L, P<0.001]; plasma yield was 27.5% higher than that in the control group [(183.90±17.37) mL vs (144.28±20.53) mL, P<0.001]; and the platelet activation rate was significantly lower than that in the control group [(21.97±14.25)% vs (34.73±11.92)%, P=0.044]. Conclusion: The Reveos system demonstrates good consistency with the current method in preparing blood components, and outperforms the current method in terms of leukocyte reduction and red blood cell concentration.

Objective: To develop a RHCE genotyping assay based on kompetitive allele-specific PCR (KASP) and assess its clinical accuracy for RhCE blood group determination. Methods: KASP primers were designed to interrogate three RHCE loci: the 109 bp insertion/deletion in intron 2, c. 307T>C, and c. 676C>G. A total of 1 194 RhD-positive inpatients from Chengdu were typed by both KASP genotyping and manual tube serology. Discordant samples (n=10) were retested by both methods and further resolved by Sanger sequencing. An additional 377 cases were tested for the c. 48C>G locus to evaluate the predictive accuracy of individual loci and combined locus testing for RhC antigen. Results: Genotyping concordance with serology was 100.0% for both the c. 676C>G locus (RhE/Rhe) and the c. 307T>C locus (Rhc). For RhC prediction using the 109 bp insertion, overall accuracy was 99.7% (1 191/1 194); the 3 discordant cases were confirmed by Sanger sequencing to be false negatives attributable to 109 bp deletion in intron 2. Testing the c. 48C>G allele for RhC prediction yielded 7 false positives, with an accuracy of 98.1% (370/377). RhC antigen status was determined by combining the 109 bp insertion and the c. 48C allele. After excluding 10 samples with inconsistent results between the two loci, the accuracy reached 100% in the remaining 367 samples. When both loci were applied in combination, accuracy reached 100% in the 367 cases with concordant results. Among the 1 194 patients, CCee (45.8%) and CcEe (31.7%) were the most common RhCE phenotypes. The e antigen had the highest positivity rate (92.2%), and the Ce haplotype was the most frequent (66.9%). Conclusion: The KASP-based RHCE genotyping method achieves high accuracy for clinical RhCE typing. Combining the 109 bp insertion/deletion with the c. 48C allele significantly improves RhC antigen prediction compared with either locus alone. This method was applied to RhCE genotyping of 1 194 RhD-positive inpatients in Chengdu, providing local RhCE phenotype and haplotype distribution data to support RhCE-matched transfusion practice.

OBJECTIVE To investigate and analyze the current situation and problems of the advanced personnel en-gaging in the hospital-acquired infection control during their training period and explore the existing countermeas-ures and future development.METHODS The literatures regarding to the advanced study in China were retrieved from databases,the subjects of the literatures covered infection control-related advanced study practice,discipline construction,position competence,talent cultivation,scientific research innovation,professional title evaluation,laws,regulations and development plans.From Aug.2024 to Nov.2024,a questionnaire survey and face-to-face interviews were conducted among 36 advanced study personnel from 9 provinces of China who engaged in hos-pital-acquired infection control in the First Medical Center of Chinese PLA General Hospital.Eventually,36 ques-tionnaires were retrieved,all of which were valid with a questionnaire recovery rate of 100.00％.RESULTS Among the 36 advanced study personnel of hospital-acquired infection control,58.33％were medium-grade professional ti-tle;preventive medicine(41.67％),clinical medicine(25.00％)and nursing(16.67％)ranked the top 3 majors.The personnel engaged in the infection control for more than 6 years,and the duration of the advanced study was generally 3 or 6 months.In reality,the personnel faced the choices in terms of the purposes of further education,learning approaches and learning contents.The advanced study personnel also encountered the problems of challenges from promotion,improvement of position competency,integration with clinical training,supervision and practice,as well as physiological,psychological and family pressure.CONCLUSION Aiming at the problems that the advanced study personnel are generally concerned about,such as how to scientifically and effectively carry out hospital-acquired infection control advanced study and preset and solve the problems that may encounter,it is necessary to formulate targeted training programmes so as to provide bases and enlightenment for establishment of a long-term mechanism for advanced study of infection control in China.

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective To evaluate the efficacy and safety of enteric-coated metformin hydrochloride capsules(Junlida?)in patients with T2DM and poor glycemic control under lifestyle interventions.Methods In this study,419 patients with T2DM were recruited from 15 research centers from July 2020 to March 2022,and randomly divided into observation(Obs)group(n=209)and control group(Con,n=210)using a multicenter,randomized,double-blind,non-inferiority trial design.Patients in the Obs group were treated with enteric-coated Metformin hydrochloride capsules(Junlida?),and patients in the Con group were treated with Metformin hydrochloride tablets(Glucophage?).The optimal effective dose of 2 g/d was achieved within 4 weeks,and the reasonable dose was maintained until the end of treatment.The treatment period was 24 weeks.HbA1c and its compliance rate,FPG,and body weight were compared between the two groups in full analysis set(FAS)and protocol set(PPS).Safety and adverse events(AE)were evaluated in safety set(SS).Results A total of 414 participants were randomized(207 cases in Obs group and 207 cases in Con group).414 cases in FAS population(207 cases in Obs group and 207 cases in Con group),and 328 cases in PPS population(164 cases in Obs group and 164 cases in Con group),and 414 cases in SS population(207 cases in Obs group and 207 cases in Con group).After treatment,HbA1c,FPG and body weight were lower in both groups(P<0.05)in FAS and PPS.HbA1c compliance rate was not significantly different between the two groups in FAS and PPS(P>0.05).The results of non-inferiority test showed that the lower limit was>-0.4%in both FAS(-0.154,95%CI-0.384～0.069)and PPS(-0.139,95%CI-0.390～0.112),and the Obs group reached non-inferiority end point.The achievement rate,compliance rate,safety index and incidence of AE were not significantly different between the two groups(P>0.05).Conclusions Junlida? demonstrated non-inferiority to Glucophage? in glycemic control and can be safely and effectively used in patients with diabetes.

OBJECTIVE To investigate and analyze the current situation and problems of the advanced personnel en-gaging in the hospital-acquired infection control during their training period and explore the existing countermeas-ures and future development.METHODS The literatures regarding to the advanced study in China were retrieved from databases,the subjects of the literatures covered infection control-related advanced study practice,discipline construction,position competence,talent cultivation,scientific research innovation,professional title evaluation,laws,regulations and development plans.From Aug.2024 to Nov.2024,a questionnaire survey and face-to-face interviews were conducted among 36 advanced study personnel from 9 provinces of China who engaged in hos-pital-acquired infection control in the First Medical Center of Chinese PLA General Hospital.Eventually,36 ques-tionnaires were retrieved,all of which were valid with a questionnaire recovery rate of 100.00％.RESULTS Among the 36 advanced study personnel of hospital-acquired infection control,58.33％were medium-grade professional ti-tle;preventive medicine(41.67％),clinical medicine(25.00％)and nursing(16.67％)ranked the top 3 majors.The personnel engaged in the infection control for more than 6 years,and the duration of the advanced study was generally 3 or 6 months.In reality,the personnel faced the choices in terms of the purposes of further education,learning approaches and learning contents.The advanced study personnel also encountered the problems of challenges from promotion,improvement of position competency,integration with clinical training,supervision and practice,as well as physiological,psychological and family pressure.CONCLUSION Aiming at the problems that the advanced study personnel are generally concerned about,such as how to scientifically and effectively carry out hospital-acquired infection control advanced study and preset and solve the problems that may encounter,it is necessary to formulate targeted training programmes so as to provide bases and enlightenment for establishment of a long-term mechanism for advanced study of infection control in China.

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective:To investigate the influence of cytochrome P450 2A6 (CYP2A6) gene polymorphisms on liver function injury in patients with hyperthyroidism treated with methimazole.Methods:The study selected 90 patients with hyperthyroidism who were treated with methimazole in the Department of Thyroid Surgery at the First Affiliated Hospital of Zhengzhou University from Sept. 2023 to Aug. 2024 as the research subjects. Based on the occurrence of liver injury, they were divided into a liver injury group ( n=36) and a non-liver injury group (n=54). Peripheral blood DNA was extracted from the patients, and the CYP2A6 gene genotypes (rs8192725, rs8192720, and rs28399433) were detected using the polymerase chain reaction (PCR) amplification method. The association between CYP2A6 gene polymorphisms and liver injury induced by methimazole treatment in hyperthyroidism was analyzed. Results:The comparison of genotype distribution frequencies at the rs8192725 locus between the liver injury group and the non-liver injury group showed a statistically significant difference ( P<0.05). The AG and GG genotypes at the rs8192725 locus were protective factors against liver injury in patients with hyperthyroidism (AG vs. AA, OR: 0.21; 95% CI: 0.08-0.57; P<0.05; GG vs. AA, OR: 0.24; 95% CI: 0.06-0.89; P<0.05; AG+GG vs. AA, OR: 0.22; 95% CI: 0.09-0.54; P<0.05). The frequency of the G allele of rs8192725 in the liver injury group was significantly lower than that in the non-liver injury group (G vs. A, OR: 0.36; 95% CI: 0.19-0.70; P<0.05), indicating that it is a protective factor for liver injury in hyperthyroid patients receiving methimazole treatment. Conclusions:The CYP2A6 gene polymorphism at the rs8192725 locus is associated with the occurrence of liver injury in patients with hyperthyroidism treated with methimazole. The G allele may be a protective factor against liver injury in patients with hyperthyroidism, suggesting that individualized treatment plans can be developed based on the patient's genotype.

Thoracic anesthesia with spontaneous respiration represents a form of precision anesthesia meticulously customized to individual patients.Considering the more stringent requirements this anesthesia approach imposes on the regulation of respiratory function,the writing group of the"Consensus of Experts on the Management of Thoracic Anesthesia with Spontaneous Respiration"has formulated elaborate guidelines regarding indications and contraindications,preoperative evaluation,anesthesia implementation,common complications,and treatment strategies.This was accomplished by referencing relevant domestic and international literature and integrating it with actual clinical requirements.The objective is to standardize the rational application of this anesthesia method.

Objective:To investigate the influence of cytochrome P450 2A6 (CYP2A6) gene polymorphisms on liver function injury in patients with hyperthyroidism treated with methimazole.Methods:The study selected 90 patients with hyperthyroidism who were treated with methimazole in the Department of Thyroid Surgery at the First Affiliated Hospital of Zhengzhou University from Sept. 2023 to Aug. 2024 as the research subjects. Based on the occurrence of liver injury, they were divided into a liver injury group ( n=36) and a non-liver injury group (n=54). Peripheral blood DNA was extracted from the patients, and the CYP2A6 gene genotypes (rs8192725, rs8192720, and rs28399433) were detected using the polymerase chain reaction (PCR) amplification method. The association between CYP2A6 gene polymorphisms and liver injury induced by methimazole treatment in hyperthyroidism was analyzed. Results:The comparison of genotype distribution frequencies at the rs8192725 locus between the liver injury group and the non-liver injury group showed a statistically significant difference ( P<0.05). The AG and GG genotypes at the rs8192725 locus were protective factors against liver injury in patients with hyperthyroidism (AG vs. AA, OR: 0.21; 95% CI: 0.08-0.57; P<0.05; GG vs. AA, OR: 0.24; 95% CI: 0.06-0.89; P<0.05; AG+GG vs. AA, OR: 0.22; 95% CI: 0.09-0.54; P<0.05). The frequency of the G allele of rs8192725 in the liver injury group was significantly lower than that in the non-liver injury group (G vs. A, OR: 0.36; 95% CI: 0.19-0.70; P<0.05), indicating that it is a protective factor for liver injury in hyperthyroid patients receiving methimazole treatment. Conclusions:The CYP2A6 gene polymorphism at the rs8192725 locus is associated with the occurrence of liver injury in patients with hyperthyroidism treated with methimazole. The G allele may be a protective factor against liver injury in patients with hyperthyroidism, suggesting that individualized treatment plans can be developed based on the patient's genotype.