Objective: To establish evidence-based, safe and efficient management of HIV-reactive blood donors by investigating safe and feasible assessment strategies for HIV-reactive blood donors based on routine blood screening data. Methods: The data of blood screening, supplementary testing, follow-up and CDC confirmation for HIV-reactive blood donors in our center from 2014 to 2024 were analyzed systematically to confirm HIV infection and identify infection status. Results: There were 1 235 samples (0.13%, 1 235/928 000) reactive in HIV blood screening over the 11-year period. A-mong them, 199 donors (16.11%) in asymptomatic HIV infection (HIV Ag/Ab++&HIV RNA+), 2(0.16%) as acute early HIV infection (HIV Ag/Ab+-&HIV RNA+) and 7(0.57%) as window-period infection (HIV RNA positive only) were confirmed. Donors with the result of HIV Ag/Ab+-&HIV RNA-(single-positive) were all excluded for HIV infection, while 1 in 6 HIV Ag/Ab++&HIV RNA-donors (double-positive) was confirmed to have HIV infection. When HIV Ag/Ab reagents were used continuously before and after the follow-up, it's observed in one reagent that the proportion of negative results in subsequent follow-up in single-positive donors who had negative results in the first sampling was significantly higher than the proportion of negative results in subsequent follow-up in those initially single-positive (P<0.05). But no significant difference was observed in another reagent (P>0.05). When reagents were changed in follow-up, the rate of singlepositive donors with negative results in the first sampling reached 96.7%, which was significantly higher than the negative rate of those without reagent changing in follow-up (P<0.05). Conclusion: Based on the serological and nucleic acid testing results of HIV blood screening, the confirmation of HIV infection and identification of infection status can be achieved accurately and efficiently. All HIV Ag/Ab+-&HIV RNA-donors were confirmed as false positive, and should be maintained their eligibilities for blood donation, but recommended to pass the retest before next donation. Using a different reagent for retesting helps improve the eligible rate. HIV Ag/Ab++&HIV RNA-donors should be deferred permanently due to the risk of true positivity.

Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

Objective:To explore the diagnostic value of intratumoral area(ITA)and peritumoral area(PTA)ultrasound image-based bioin-formatics models for small breast cancer.Methods:We retrospectively analyzed data of 305 breast lesions from 292 patients with small breast nodules(diameter≤2 cm)who were treated at People's Hospital of Xinjiang Uygur Autonomous Region between January 2021 and January 2025.The lesions were randomly assigned into the training(214 lesions)and validation sets(91 lesions)in a 7:3 ratio.Radiomics fea-tures were extracted from the intertumoral area(ITA)and peritumoral area(PTA)regions at 2,4,6,and 8 mm,followed by feature selection and dimensionality reduction.A Logistic regression(LR)algorithm was used to construct a model.The performance of the models were eval-uated via receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test,and decision curve analysis(DCA).Results:In the training set,the areas under the ROC curves(AUC)for the ITA,2 mm PTA,and 2 mm fusion models were 0.869,0.897,and 0.909,respect-ively.In the test set,these respective AUC values were 0.813,0.825,and 0.840.For breast lesions≤2 cm,<1 cm,and 1-2 cm,the overall ac-curacies of the 2 mm fusion model were 81.0%,82.7%,and 80.1%,respectively,whereas the respective overall accuracies of BI-RADS were 76.4%,81.7%,and 73.6%.Conclusions:ITA and PTA ultrasound imaging-based radiomics models had a high diagnostic value for small breast cancers.The fusion model can effectively improve predictive performance,outperforming the BI-RADS classification in diagnosing small breast lesions of different diameters.Thus,these models have the potential to serve as an auxiliary diagnostic tool in clinical practice.

Objective To investigate the effects of varying pulse intervals in the programmed intermittent epidural bolus(PIEB)mode on labor analgesia in primiparous and multiparous women,and to evaluate the differ-ences in analgesic outcomes between these two groups.Methods A total of 60 primiparous and 60 multiparous women who met the inclusion criteria were recruited and randomly allocated into two groups:a 45-minute pulse interval group(P45 group,n=30)and a 60-minute pulse interval group(P60 group,n=30).Epidural labor anal-gesia was initiated when cervical dilation reached 1～3 cm.The programmed intermittent epidural bolus(PIEB)mode was started 45 minutes after analgesia commencement in the P45 group and 60 minutes after analgesia com-mencement in the P60 group.Each pulse delivered 10 ml of a solution containing 0.08%ropivacaine and 0.5 μg/ml sufentanil.Pain scores were assessed using the Visual Analog Scale(VAS)at five specific time points:baseline(t0),1 hour post-analgesia initiation(t1),2 hours post-analgesia initiation(t2),full cervical dilation(t3),and delivery(t4).Secondary outcomes included Bromage scores,the number of patient-controlled analgesia(PCA)button presses,total drug consumption,and adverse reactions.Results In primiparous women,the VAS score at t1 was significantly lower in the P45 group compared to the P60 group(P<0.05),whereas no significant differences were observed in VAS scores between the two groups at t2—t4.The median PCA press count was also significantly lower in the P45 group than in the P60 group(P<0.05).However,there were no significant differences between the groups in terms of total drug consumption,Bromage scores,or the incidence of adverse events(P>0.05).In multiparous women,no significant differences were found in VAS scores,Bromage scores,or PCA press counts between the P45 and P60 groups at any time point(P>0.05).Conversely,total drug consumption was significantly higher in the P45 group compared to the P60 group(P<0.05).Conclusions For primiparous women,a 45-minute pulse interval in the PIEB mode not only provides superior labor analgesia but also significantly reduces the frequency of PCA presses without escalating the risk or severity of motor block or adverse events.For multiparous women,the pulse interval does not substantially influence the effectiveness of labor analgesia.These findings contribute valuable new evidence for refining clinical labor analgesia protocols.

Objective:To explore the evaluation and relationship of hepatitis B virus(HBV)surface antigen(HBsAg)in clinical laboratory in different detection systems,further scientifically and reasonably to explain the test results for serving clinical practices.Methods:During the period from June 2021 to July 2022,100 425 specimens of patients with screened,suspected and confirmed HBV infections were collected from the clinical departments(mainly infectious hepatology)of Nanyang Central Hospital.Detection methodology included quantitative(electrochemiluminescence and chemiluminescence),qualitative(gold standard),semi-quantita-tive(ELISA),and highly sensitive HBV-DNA(RT-PCR)methods,and then analyzed the strengths and weaknesses and closeness be-tween each methodology.The relationship between the two Roche HBsAg detection systems was analyzed by correlation analysis.The HBsAg efficacy analysis was validated using Cut/Off value setting and detection limit,which in turn analyzed the distribution of false-positive and false-negative reporting models.Results:Detection results for low-and medium-concentration HBsAg showed a correla-tion between the electrochemical luminescence semi-quantitative method and ELISA method.ELISA method still had advantages in terms of sensitivity and specificity when detecting HBsAg,and there were no significant differences compared to domestic and interna-tional HBsAg quantitative detection systems.Performance validation conducted in accordance with the CNAS-GL038 document showed that the minimum detection limit for HBsAg calculated using the ELISA method in this laboratory was 0.1 U/ml.When the ROC curve Cut/Off value was set to 0.105,the area under the curve was the largest(AUC=0.986).Based on Roche's semi-quantitative electroche-miluminescence detection and patient medical history,in the common reporting model for hepatitis B five-item detection using ELISA method,HBsAg false positives occurred most frequently when HBsAg was positive alone,and HBsAg occurred most frequently in the false positive range when the OD value was less than 0.5.In ELISA method for detecting HBsAg,as the OD value increased from 0.01 to 0.10,the number of false-negative results also increased.Roche Elecsys HBsAg Ⅱ Quant Ⅱ and Elecsys HBsAg Ⅱ testing systems exhibited good linearity under certain conditions,with a ratio of approximately 1/0.18.In Elecsys HBsAg Ⅱ Quant Ⅱ detection sys-tem,the test results of HBsAg samples diluted 400 times were highly consistent with the original test results with a coefficient of deter-mination R2=0.993 8.Conclusion:There was a certain relationship between various detection systems of HBsAg at a suitable concen-tration.The detection of HBsAg by ELISA can meet the needs of clinical detection.

In recent years,the post-translational modification in epigenetics has drawn the attention of the researchers,and is expected to become the important direction for tumor pharmacology research in future.Chinese herbal medicine has the advantages of less side effects and better efficacy,and has shown good prospects in the research of prevention and treatment of colorectal cancer.This paper outlined the types of post-translational modifications in epigenetics and their roles in the progression of colorectal cancer,and explored the possible mechanisms of single Chinese herbal medicine and Chinese herbal compounds in the treatment of colorectal cancer by influencing post-translational modifications.In the progression of colorectal cancer,the post-translational modifications such as ubiquitination,ubiquitination-like,acetylation,crotonylation and glycylation were involved.The Chinese medicinal active ingredients from Coptidis Rhizoma,Euodiae Fructus,Scutellariae Radix,Curcumae Longae Rhizoma,etc.,and Chinese herbal compounds of Yiliu Decoction and Teng Long Buzhong Decoction have all shown certain effects for the prevention and treatment of colorectal cancer by participating in post-translational modifications.The in-depth exploration of the therapeutic mechanism of Chinese herbal medicine in the prevention and treatment of colorectal cancer and the development of new Chinese medicinal preparations from the perspective of post-translational modification are expected to become a new direction for the future research on the mechanism of anti-colorectal cancer and on the application of anti-cancer agents.

Objective:To determine the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition). Methods:A preliminary list of clinical issues for the guidelines was developed through literature review, clinical surveys, and expert interviews. This was followed by two rounds of Delphi questionnaire surveys, with quality control and statistical analysis conducted using expert positive coefficient, mean item scores, full score ratio, coefficient of variation, Cronbach′s α coefficient, and expert authority level to finalize the list of clinical issues.Results:The experts participating in the Delphi questionnaire surveys had multidisciplinary collaborative backgrounds and regional representativeness, with a high level of authority. The overall positive coefficient of expert participation in the surveys was 78.9%. Through two rounds of the Delphi method and based on the screening criteria of a mean score ≥3.5, coefficient of variation ≤30%, and full score ratio ≥30%, 17 clinical issues were ultimately included following an expert consensus meeting.Conclusions:Through the Delphi method and rigorous quality control, the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition) are determined, laying a foundation for the subsequent development of the guidelines.

Objective To verify the accuracy of Youssef's formula and evaluate whether fetal biacromial diameter(BA)and other fetal biological diameters estimated by ultrasound can be used to predict macrosomia and shoulder dystocia,so as to provide the possibility for clinical prediction of shoulder dystocia.Methods A total of 200 pregnant women with a gestational period of 37-42 weeks were examined with ultrasound within 3 days before delivery for collecting biparietal diameter(BPD),head circumference(HC),abdominal circumference(AC),humerus length(HL),femur length(FL),thoracic transverse diameter and midpoint diameter of upper arm;and the fetal BA was estimated by Youssef's formula.Neonatal BA,body mass and body length were measured within 1 day after delivery.The above data were analyzed for correlation.Newborns were grouped according to their body mass(macrosomia vs non-macrosomia)and whether they had shoulder dystocia or not(shoulder dystocia vs non-shoulder dystocia).Results(1)The fetal BA estimated by Youssef's formula was consistent with neonatal BA(P>0.05),and the estimated BA was positively correlated with BPD,HC,AC and neonatal body mass(P<0.001).(2)The BA,BA/AC and BA/HC in macrosomia group were different from those in non-macrosomia group(P<0.05).ROC curve showed that the sensitivity and specificity were 92.3%and 88.2%for macrosomia prediction when the estimated BA threshold was 16.05 cm,and those were 61.5%and 77.0%when BA/AC threshold was 0.455,and 76.9%and 72.7%when BA/HC threshold was 0.465.(3)Shoulder dystocia group had neonatal weight close to non-shoulder dystocia group(P>0.05),but higher BA/BPD,BA/HC and BA-BPD(P<0.05).ROC curve showed that the sensitivity and specificity were 100.0%and 66.8%for shoulder dystocia when BA threshold was 15.45 cm,100.0%and 80.6%when BA/BPD threshold was 1.695,100.0%and 81.6%when BA/HC threshold was 0.475,and 100.0%and 76.0%when the threshold difference between BA and BPD was 6.35 cm.Conclusion Fetal BA,BA/BPD,BA/HC,BA/AC and BA-BPD may be effective predictors of shoulder dystocia and macrosomia.

With the rising prevalence of chronic diseases and an aging population,China's traditional segmented health-care delivery model is increasingly inadequate for meeting the growing demand for long-term,systematic health management.In response,the"Physician-Pharmacist Co-management"model has emerged,aiming to enhance the quality and continuity of care through close collaboration between physicians and pharmacists.This paper starts from the concept and origin of"Physician-Phar-macist Co-management"model,focusing on its China-specific advantages shaped by national healthcare policies and clinical real-ities.Unlike the internationally recognized Collaborative Drug Therapy Management(CDTM)model,the Chinese approach re-flects local healthcare structures and needs.Using obstructive pulmonary disease(COPD)as a case study,we examine the mod-el's application and value in managing chronic respiratory diseases.Data indicate that,after the implementation of"physician-pharmacist co-management"model in COPD patients,the CAT score decreased by approximately 24％,the annual rate of acute exacerbation-related hospitalizations declined by about 72％,and the proportion of patients with regular pulmonary rehabilitation exercise habits increased by roughly 3.3-fold.Additionally,the percentage of patients without adverse reactions rose from 47.37％to 64.41％,and the vaccination rate increased by about 2.7-fold.These findings demonstrate the model's significant advantages in improving clinical outcomes,enhancing patient adherence,and reducing healthcare costs.Despite benefits,howev-er,the"Physician-Pharmacist Co-management"model in China faces several challenges,including limited public awareness,gaps in pharmacist training,and insufficient policy support.To address these challenges,this study recommends strengthening public education,establishing comprehensive evaluation systems for pharmaceutical professionals,and improving incentive mech-anisms.Overall,the findings suggest that the"Physician-Pharmacist Co-management"model holds considerable promise for im-proving the quality of chronic disease management,enhancing patient adherence,and optimizing healthcare resource utilization in China.