Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

Objective: To statistically analyze the association between blood donation intervals and the incidence of adverse reactions to blood donation based on blood donor data from Shenzhen. Methods: Basic data and records of adverse reactions to blood donation among voluntary whole blood donors in Shenzhen from January 2017 to June 2025 were extracted. A total of 795 404 whole blood donations were recorded, including 502 743 from males and 292 661 from females, with 1 088 and 751 cases of adverse reactions, respectively. Analyses were performed using R software, including restricted cubic spline (RCS), binary logistic regression, and generalized estimating equations (GEE) to evaluate the correlation between donation intervals and adverse reactions. Results: A total of 1 839 cases of adverse reactions were recorded, accounting for 0.23% of the total donations. Both binary logistic regression analysis and the generalized estimating equations (GEE) model showed that there was no significant difference in the incidence of adverse reactions between male and female donors with an interval of ≥6 months compared to those with an interval of ≥3 months but<6 months. Furthermore, using the 3-5 month interval group as the reference, the analysis indicated that the incidence of adverse reactions significantly increased in males with a 9-12 month interval, while no statistically significant differences were observed across any of the female subgroups. Conclusion: There was no significant correlation between adverse reactions to blood donation and the donation interval. Compared with a donation interval of ≥6 months, an interval of<6 months does not lead to an increase in the incidence of adverse reactions among male or female donors. The findings of this study may help enhance the willingness of blood donors to participate.

Objective: To statistically analyze the association between blood donor age and the incidence of adverse reactions based on whole blood donor data from Shenzhen. Methods: Data on basic characteristics and records of adverse donation reactions among voluntary whole blood donors in Shenzhen from January 2017 to June 2025 were extracted. A total of 795 404 whole blood donations were recorded, including 502 743 from males and 292 661 from females, with 1 088 and 751 cases of adverse reactions, respectively. Analyses were performed using R software, including restricted cubic spline (RCS) analysis, binary logistic regression, and generalized estimating equations (GEE) to evaluate the correlation between donor age and adverse reactions. Results: A total of 1 839 cases of adverse reactions were recorded, accounting for 0.23% of the total donations. Both binary logistic regression and GEE model revealed that, compared with the≤55 years age group, the incidence of adverse reactions was reduced in both male and female donors in the >55 years age group, with the difference being statistically significant in males. Using the <23 years age group as a reference, the incidence of adverse reactions significantly decreased in both male and female donors across the 23-30, 31-40, 41-50, and 51-60 age groups, with the differences being statistically significant. Conclusion: There is a negative correlation between the rate of adverse donation reactions and age, with the incidence of such reactions among whole blood donors over 55 years old being no higher than that among donors aged 55 years or younger. These findings carry positive significance for safeguarding the donation rights of older donors and meeting clinical blood demand.

Objective: Some regions in China have lowered the minimum interval for whole blood donation to 3 months through local regulations: Hainan, effective from March 1, 2012, allows men to donate at intervals of≥3 months and women at intervals of≥4 months; Shenzhen, effective from November 1, 1995, allows whole blood donation at intervals of≥3 months. The aim of this study was to evaluate the impact of shortening the whole blood donation interval on blood donation adverse reactions and donation behavior, thereby providing scientific evidence for policy evaluation and revision of relevant regulations. Methods: This was a multicenter, retrospective cohort study based on blood donation registry data from Shenzhen and Hainan. Data were obtained from the blood information management systems of Hainan Province (1991-2025) and Shenzhen City (2018-2024). Eligible participants were donors aged 18-65 years who had donated whole blood at least twice and met health eligibility criteria. The exposure was defined as a shorter donation interval (whole-blood interval≥3 months and<6 months) and was treated as a time-varying variable. The primary outcome was blood donation adverse reactions. Negative binomial regression with person-years as an offset was used to estimate incidence rate ratios for adverse reactions. Marginal standardization was used to estimate the adjusted incidence rate difference, and donor-level bootstrap resampling was used to estimate the 95% confidence interval of the adjusted incidence rate difference. Non-inferiority was assessed by comparing the upper limit of the 95% confidence interval with the prespecified non-inferiority margin of Δ=0.00 070 per person-year. In addition, Andersen-Gill models were used to analyze adverse reaction-free probability for recurrent events. Secondary outcomes were donation behavior, including annual repeat donation rate, annual donation frequency, mean donation interval, and annual whole-blood donation volume. These were analyzed using logistic regression, negative binomial regression, and linear regression models, respectively, with adjustment for age, sex, region, and donation site. This study was approved by the Ethics Committee of the Institute of Blood Transfusion, Chinese Academy of Medical Sciences (Approval No.2025011) and registered in the Chinese Clinical Trial Registry (ChiCTR2500114968). Results: A total of 375 075 repeat whole-blood donors were included, contributing 1 292 748 whole-blood donations. Among them, 119 993 had ever donated at a shorter interval and 255 082 had never done so. Over 1 281 842 person-years of follow-up in the dynamic cohort, 2 100 blood donation adverse reactions were recorded. The incidence rates of adverse reactions were 1.76 and 1.58 per 1 000 person-years in the ever-short interval and never-short interval groups, respectively. After adjustment for age, sex, province, and donation site, the ever-short interval group had a slightly higher adverse reaction rate than the never-short interval group (IRR=1.28, 95%CI: 1.15-1.41, P<0.001). Marginal standardization showed that the adjusted incidence rates were 1.73 and 2.21 per 1 000 person-years in the never-short interval and ever-short interval groups, respectively. The adjusted incidence rate difference was 0.000 48 per person-year, with a bootstrap 95%CI of 0.000 26-0.000 69 per person-year; the upper limit of the 95%CI was below the prespecified non-inferiority margin. Andersen-Gill recurrent-event analysis showed that the ever-short interval group had a higher probability of remaining adverse reaction-free. Analysis of donation behavior showed that among donors followed for at least 365 days, the ever-short interval group had a higher annual repeat donation rate than the never-short interval group (74.2% vs 18.3%; adjusted OR=12.5, 95%CI: 12.3-12.7, P<0.001). They also had a higher annual whole-blood donation rate (adjusted RR=1.98, 95%CI: 1.97-1.98, P<0.001), a shorter mean whole-blood donation interval (β=-239 days, 95%CI: -242 to -237 days, P<0.001), and a higher annual whole-blood donation volume (adjusted RR=2.14, 95%CI: 2.13-2.15, P<0.001). Conclusion: Based on real-world data from repeat whole-blood donors in Shenzhen and Hainan, lowering the minimum whole blood donation interval to 3 months did not show an absolute increase in blood donation adverse reactions exceeding the prespecified margin within the scope of this outcome. Shorter whole-blood donation interval behavior was also associated with greater repeat-donation activity, higher annual donation frequency, and higher annual whole-blood donation volume. Given the observational nature of this study and the lack of long-term donor health indicators such as iron status and longitudinal hemoglobin changes, the long-term safety of setting the minimum whole blood donation interval at 3 months requires further evaluation.

Objective: To construct a 5G unmanned aerial vehicle (UAV) airport platform for blood transportation and explore its feasibility and advantages within the blood emergency support system. Methods: Based on 5G high-speed network transmission technology, a UAV management system was designed to achieve a closed-loop management of the entire transportation process, including blood distribution, route information, flight status, emergency dispatch, hospital reception, real-time temperature monitoring, and video surveillance. Integrated with an open UAV airport, the first "5G UAV Blood Transportation Intelligent Airport Platform" was established. Results: At present, the platform has settled in 2 sets of UAV systems, established 17 routes, and carried out regular UAV blood transportation services for 15 hospitals. From January 1, 2024 to June 30, 2025, a total of 12 134 sorties were completed, with a total transported blood weight of 7 692.38 kg, including 25 500 units of red blood cells, 3 824.5 units of platelets, 1 350 370 mL of plasma, and 10 810 units of cryoprecipitate. Compared to land transportation, UAV delivery saved an average of 46.8 minutes during rush hours (maximum: 89.3 minutes) and an average of 32.3 minutes during non-rush hours (maximum: 59.1 minutes). In terms of the quality of UAV blood transportation, the temperature of suspended red blood cells was between 4 and 8℃, that of platelets was between 20 and 24℃, and that of plasma was below 0℃. No damage has occurred so far. Conclusion: The UAV blood transportation platform can stably provide blood delivery services during both routine and emergency conditions, ensuring timely blood delivery and stable blood quality.

OBJECTIVE To report a case of hepatitis B virus （HBV） reactivation induced by iparomlimab and tuvonralimab， summarize the clinical characteristics and potential mechanisms of such adverse reactions induced by immune-checkpoint inhibitors （ICIs）， and provide references for clinical application. METHODS From the perspective of a clinical pharmacist， a retrospective analysis was conducted on the treatment course of a patient with metastatic cervical cancer who experienced HBV reactivation after receiving iparomlimab and tuvonralimab. Additionally， an analysis of the correlation with adverse reactions was performed， and the clinical characteristics， risk factors， potential mechanisms， key points of treatment approaches and pharmaceutical care associated with HBV reactivation induced by ICIs were summarized. RESULTS & CONCLUSIONS The patient developed HBV reactivation and severe liver injury after using iparomlimab and tuvonralimab. The condition improved following drug discontinuation， and symptomatic treatment such as glucocorticoids. According to Naranjo’s Assessment Scale and China’s Measures for the Reporting and Monitoring of Adverse Drug Reactions， the association between iparomlimab and tuvonralimab and HBV reactivation was judged as “highly probable”， and it was identified as a new adverse reaction； the correlation between iparomlimab and tuvonralimab， paclitaxel and liver injury was “highly probable”. HBV reactivation in hepatitis B patients receiving standardized antiviral therapy is very rare after ICIs treatment； HBV reactivation is related to the overactivation of the immune system and disruption of immune balance induced by ICIs. For such patients， glucocorticoids should be administered for treatment， accompanied by pharmaceutical care， including pre- medication risk assessment and monitoring of relevant indicators during treatment.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

[Objective] To investigate the factors associated with alanine aminotransferase (ALT) abnormalities in multi-ethnic blood donors across five Zang autonomous prefectures in the plateau regions of Qinghai Province, and to provide evidence for ensuring blood safety and formulating screening strategies. [Methods] A retrospective analysis was performed on the ALT abnormal test results of blood donors in the Zang autonomous prefectures of Qinghai from 2022 to 2024. The correlations between ALT levels and factors including gender, age, altitude, and infectious markers were investigated. [Results] The overall ALT unqualified rate among blood donors in this region was 9.01%. Significant differences in ALT levels were observed across genders and age groups (P<0.05). Variations in ALT abnormality rates were also noted among different plateau regions (P<0.05). Overall, ALT values exhibited an increasing trend with rising altitude. The average ALT unqualified rates were 11.19% in Zang donors, 7.96% in Han donors, and 4.79% in donors from other ethnic groups (P<0.05). No statistically significant association was observed between ALT abnormality and the presence of HBV/HCV infectious markers (P>0.05). [Conclusion] In the plateau areas of Qinghai, multi-ethnic blood donors have a relatively high ALT levels and ALT unqualified rates, showing distinct regional characteristics. ALT elevation in voluntary blood donors is related to non-pathological factors such as gender, age, and dietary habits, but not to infectious indicators.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.