OBJECTIVE To build a new workflow of pharmacy intravenous admixture services （PIVAS）， effectively connect intelligent equipment， and promote the intelligent development of PIVAS. METHODS Based on intelligent auxiliary equipment， PIVAS workflow was optimized， and a process-oriented model was established. This model integrated intelligent prescription review （automatic prescription review+manual intervention mode）， intelligent labeling， intelligent allocation， intelligent sorting， and finished infusion quality inspection system. Furthermore， an assessment was conducted to examine unreasonable medical order rate of intelligent prescription review， the working efficiency and error rate of intelligent labeling machine and intelligent sorting machine， and the dispensing efficiency and accuracy of intelligent dispensing robot. RESULTS Under the intelligent prescription review mode， the rate of unreasonable medical orders decreased from 0.157% to 0.050% （P＜0.05）； automatic labeling efficiency reached 21.7 sheets/min， surpassing the manual labeling efficiency of 13.8 sheets/min （P＜0.05）， and the daily labeling error rate decreased from 6.1‰ to 2.5‰ （P＜0.05）. Simultaneously operating two dispensing robots significantly improved the efficiency of batch dispensing and reduced the residual amount of liquid medicine （P＜0.05）； additionally， a quality testing system for finished infusion was established， involving appearance， Tyndall effect， insoluble particles， turbidity， absorbance， pH and osmotic pressure， to ensure the quality of finished infusion and reduce the risk of infusion. CONCLUSIONS The new process of PIVAS connected with intelligent devices in our hospital can improve work efficiency， reduce dispensing errors， ensure the quality of finished infusion， and improve the level of pharmaceutical care.

OBJECTIVE To construct a prediction model for tacrolimus trough concentration based on population pharmacokinetics （PPK） information and machine learning， evaluate its predictive performance in clinical therapeutic drug monitoring （TDM） data， and provide evidence-based support for individualized dose adjustment of tacrolimus after renal transplantation. METHODS A retrospective cohort study design was adopted， and consecutive TDM records of kidney transplant recipients treated in the First Affiliated Hospital of University of Science and Technology of China （Anhui Provincial Hospital） from January to June 2025 were included to construct the final analysis set. Based on 29 input variables including previous TDM concentration， previous concentration/dose （ C / D ） ratio， and individual predicted exposure （IPRE）， 13 commonly used regression algorithm models and 1 weighted ensemble model were systematically compared. The dataset was split into training set and test set in an 80∶20 ratio by patient. Five-fold cross-validation based on patient grouping was performed on the training set， and the model performance was evaluated on the obtained evaluation points using the coefficient of determination （ R 2 ）， mean absolute error （MAE）， root mean square error （RMSE）， Pearson correlation coefficient （Corr） and ±20%/±30% accuracy. The SHapley Additive exPlanations （SHAP） method was used for model interpretability analysis to identify core predictive features. RESULTS A total of 809 consecutive TDM records from 83 kidney transplant recipients were included， with 66 cases in the training set and 17 cases in the test set. The SVR model showed the best performance， with R 2 of 0.649 8， MAE of 1.126 0 ng/mL， RMSE of 1.478 6 ng/mL， Corr of 0.819 1， ±20% accuracy of 59.68%， and ±30% accuracy of 79.03%. The Weighted Ensemble model and Extra Trees model ranked second and third， respectively. SHAP interpretability analysis showed that the top 6 features contributing to the prediction were IPRE， previous TDM concentration， previous C/D ratio， dose-normalized concentration， hematocrit （HCT）， and concentration-dose coefficient （ θ cd ）， among which IPRE was the core predictive feature （SHAP mean value 0.915 4）. CONCLUSIONS The machine learning model incorporating PPK information demonstrates good predictive ability for tacrolimus concentration in the current TDM cohort. SVR is the optimal model， IPRE is the core predictive feature of the model， and a few core PK-derived features （IPRE， dose-normalized concentration， θ cd ） together with clinical features （previous TDM concentration， HCT， etc.） constitute the main information sources for model prediction.

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 provide references for medical institutions’ outpatient pharmacies to increase the scanning rate， scanning efficiency and scanning accuracy of drug traceability codes.METHODS A total of 4 157 unscanned traceability code records from the first two‑week period of June 2025 were selected from the outpatient pharmacy of our hospital. Pareto chart was adopted to analyze the reasons for unscanned codes， and the Objective-Rules-Training-Check-Culture （ORTCC） model was utilized to carry out fine management. The traceability code scanning rate， pharmacists’ work efficiency （number of prescriptions dispensed per pharmacist per hour， number of drug boxes dispensed per pharmacist per hour）， patients’ medication-waiting time and dispensing errors were compared among four periods： before scanning implementation （June 2024）， before management intervention （June 2025）， the first phase after management （September 2025）， and the second phase after management （December 2025）， so as to evaluate the management effects.RESULTS The traceability code scanning rates in the first phase and second phase after management were remarkably higher than those before management （ P ＜0.05）， and the scanning rate in the second phase after management was obviously higher than that in the first phase after management （ P ＜0.05）. Compared with the period before scanning implementation， the number of prescriptions dispensed per pharmacist per hour， the number of drug boxes dispensed per pharmacist per hour， decreased significantly and patients’ medication-waiting time prolonged markedly before management （ P ＜0.05）. In the second phase after management， both the number of prescriptions dispensed per pharmacist per hour and the number of drug boxes dispensed per pharmacist per hour increased significantly， and patients’ medication-waiting time shortened greatly in contrast with the status before management （ P ＜0.05）. Besides， no statistically significant differences were found in the number of drug boxes dispensed per pharmacist per hour and patients’ medication-waiting time between the second phase after management and the period before scanning implementation （ P ＞0.05）.After the implementation of traceability-code scanning management， dispensing errors presented a gradually declining trend in each stage.CONCLUSIONS The fine management system for outpatient drug traceability codes constructed based on Pareto chart and ORTCC model can improve the traceability code scanning rate and pharmacists’ work efficiency of outpatient pharmacies， and reduce drug dispensing errors.

OBJECTIVE To investigate the characteristics and safety of finerenone use in hospitalized patients with acute heart failure （AHF）.METHODS A single-center retrospective cohort study was conducted， enrolling 171 AHF patients who initiated finerenone therapy during hospitalization at The First Affiliated Hospital of University of Science and Technology of China between November 2023 and April 2026. Baseline characteristics， finerenone use patterns，in-hospital major and minor safety endpoints were collected. Univariate intergroup analysis， univariate and multivariate Logistic regression were performed to identify predictive factors （Firth’s penalized likelihood method was used when events were sparse）. Propensity score matching （PSM） and stabilized inverse probability of treatment weighting （sIPTW） were employed to compare the safety differences between early initiation （≤3 d） and intermediate-to-late initiation （＞3 d） of finerenone. Sensitivity analysis was conducted to verify the robustness of the hyperkalemia-related results.RESULTS A total of 171 hospitalized patients with AHF were included， with 63.7% having heart failure with preserved ejection fraction. The median time to finerenone initiation was 2 d after admission， with early initiation accounting for 64.3%， an initial dose of 10 mg once daily accounting for 83.0%， and concomitant use of sodium-glucose cotransporter 2 inhibitor （SGLT2i） accounting for 83.6%. In the overall cohort， the incidence of hyperkalemia was 3.5%， the incidence of acute kidney injury was 13.5%， and the incidence of the composite endpoint was 21.6%. Concomitant SGLT2i use was associated with a lower risk of hyperkalemia in univariable Logistic regression （OR＝0.18， 95%CI of 0.04-0.86， P ＝0.032） and showed a trend toward a protective association after multivariable Logistic regression adjustment， although this did not reach statistical significance （OR＝0.24， 95%CI of 0.05-1.21， P ＝0.084）； after multivariable Logistic regression adjustment，baseline serum potassium was independently associated with the risk of the composite endpoint （OR＝2.01， 95%CI of 1.06-3.82， P ＝0.032）. Both PSM（OR＝0.70， 95%CI of 0.27-1.83）and sIPTW（OR＝0.70， 95%CI of 0.32-1.52）analyses showed that early initiation of finerenone did not increase the risk of the composite endpoint. Sensitivity analysis results were consistent with the overall cohort analysis.CONCLUSIONS The enrolled patients initiated finerenone early with reasonable starting doses， and a high proportion received concomitant SGLT2i therapy； early initiation did not increase the risk of in-hospital hyperkalemia or acute kidney injury， with an overall favorable safety profile， and concomitant SGLT2i use showed a protective trend with respect to hyperkalemia risk.

Objective:To investigate the diagnostic and prognostic value of systemic immune inflammatory index (SII) for severe traumatic brain injury secondary to acute lung injury (sTBI-ALI).Methods:A retrospective study was conducted on patients with severe traumatic brain injury admitted to the trauma center of the First Affiliated Hospital of Soochow University from January 2021 to November 2023. Patients received standard treatments including hemostasis and intracranial pressure management. Vital signs and blood routine data were collected upon admission. Patients were categorized into sTBI group and sTBI-ALI group based on established clinical diagnostic criteria for ALI to evaluate the diagnostic utility of SII. Subsequently, within the sTBI-ALI group, patients were stratified into survival and non-survival groups based on their 30-day outcomes to assess the prognostic value of SII.Results:A total of 260 sTBI patients were enrolled, of whom 113 developed ALI. Among the sTBI-ALI patients, 73 survived at 30 days. Compared to the sTBI group, the sTBI-ALI group exhibited significantly higher respiratory rates, heart rates, white blood cell counts, neutrophil counts, platelet counts, and SII levels (all P<0.05). Multivariate logistic regression analysis showed that SII index ( OR=1.003, 95% CI: 1.002-1.004, P<0.001) was an independent risk factor for ALI development in sTBI patients. The combined predictive model incorporating SII and heart rate yielded an AUC of 0.801 (95% CI: 0.740-0.862). The non-survival group had significantly higher neutrophil counts and SII levels, and significantly lower Glasgow Coma Scale scores than the survival group (all P<0.05). Multifactorial regression analysis indicated that SII index ( OR=1.002, P=0.004, 95% CI: 1.000-1.003) served as an independent risk factor for 30-day mortality in sTBI-ALI patients. The combined predictive model of SII and GCS achieved an AUC of 0.904 (95% CI: 0.848-0.960). Conclusions:SII demonstrates potential as a biomarker for predicting the development of ALI following sTBI. Furthermore, incorporating SII into predictive models significantly enhances the ability to forecast mortality risk in sTBI-ALI patients.

Objective To investigate the impact of lower inspiratory peak flow rates on airway peak pressure when using a ventilator to maintain respiratory function during the advanced life support phase of in-hospital cardiopulmonary resuscitation(CPR).Methods A prospective study was conducted,30 patients who underwent CPR for more than 20 minutes admitted to Lishui Municipal Central Hospital between September 2021 and December 2023 were enrolled as the study subjects.Volume controlled ventilation(VCV)with a descending flow waveform was used,while other preset parameters remained unchanged.Airway peak pressure was measured at different peak flow rates(55,50,45,and 40 L/min).The influence of varying flow rates on peak pressure was analyzed.Results During CPR,patients were in a continuous state of chest compressions.When the ventilator parameters were set conventionally,alarms for high airway pressure,low tidal volume(VT),and high respiratory rate often occurred,which affected the effectiveness of ventilatory support.There was a significant variation in airway peak pressure among different patients.As the peak flow rate increased from 40 L/min to 55 L/min,the airway peak pressure gradually increased.During the process of reducing the peak flow rate,the pulse oxygen saturation(SpO2)of all patients remained stable without significant changes.The 40 L/min group had significantly lower peak pressures than the 50 and 55 L/min groups,whereas the 55 L/min group had significantly higher pressures than all others[cmH2O(1 cmH2O≈0.098 kPa):41.20±9.06 vs.47.90±9.04 and 53.70±7.96,all P<0.05].When comparing patients with peak flow rates of 40 L/min and 50 L/min,as well as 45 L/min and 55 L/min,the average airway peak pressure increased significantly with each 10 L/min increment in inspiratory peak flow rate.However,the SpO2 remained essentially unchanged or slightly increased as the peak flow rate decreased.There were no statistically significant differences in SpO2 among patients at different peak flow rate levels.When the peak flow rate was set at 55,50,45,and 40 L/min,the proportions of patients with airway peak pressure>40 cmH2O were 100.0%,83.3%,63.3%,and 53.3%,respectively.Among them,the proportions of patients with airway peak pressure>50 cmH2O were 66.7%,40.0%,16.6%,and 16.6%,respectively.As the peak flow rate decreased,the proportion of patients with airway peak pressure>40 cmH2O gradually decreased.If the peak flow rate was set at 45 L/min or lower,the number of patients with airway peak pressure>50 cmH2O during CPR was less than 50.0%of the total number of cases.Conclusions During mechanical ventilation in CPR,using volume-controlled ventilation(VCV)mode with a decelerating waveform,improper peak flow rate settings can easily trigger high airway pressure alarms and result in low tidal volume(VT),leading to poor synchrony between the ventilator and the patient.Compared to peak flow rates of 55 L/min and above,selecting an inspiratory peak flow rate of 40 L/min and setting the high-pressure alarm at 50 cmH2O is suitable for the mechanical ventilation needs of most patients and does not affect oxygenation levels.This is a more appropriate choice.

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 investigate the mosquito-borne viruses carried by mosquito specimens collected from Huachuan county and Huanan county in Heilongjiang province.Methods:Mosquito samples were collected locally in 2023 and processed in the laboratory. Homogenates of the mosquitoes were inoculated into cells for virus isolation, followed by molecular and bioinformatics analyses of the viral isolates.Results:In 2023, ten viral isolates were obtained from Anopheles sinensis specimens collected in Heilongjiang province, China. Among these isolates, one was identified as Culex flavivirus (CxFV), one as Menghai rhabdovirus (MRV), and eight as Nam Dinh virus (NDiV). The phylogenetic analysis showed that CxFV belongs to genotype I and is clustered with the strains isolated from Liaoning province in 2011 and Ningxia Hui autonomous Region in 2019 in the same evolutionary branch, with amino acid similarity ranging from 98.2% to 99.2% and nucleotide similarity ranging from 98.8% to 99.2%. The MRV strain belongs to the same evolutionary subclade as the strain detected in Guangdong, with both nucleotide and amino acid similarity of 98.0%. Eight NDiV isolates clustered with the South Korean isolates on the same evolutionary branch, forming an independent evolutionary sub-branch. The nucleotide similarity among these eight isolates ranged from 98.5% to 99.7%, while the amino acid similarity ranged from 98.1% to 99.7%. In comparison, when matched with other NDiV isolates from China, the nucleotide similarity of these eight isolates ranged from 94.1% to 97.8%, and the amino acid similarity ranged from 93.5% to 97.7%.Conclusions:This study represents the first isolation of CxFV, MRV, and NDiV in Heilongjiang province, China, and the findings provide fundamental data for the prevention and control of mosquito-borne viral diseases in this region.

Objective:To evaluate the effect of baicalein on acute myocardial injury in rats with high-level spinal cord injury (SCI) and the role of nuclear factor E2-related factor 2 (Nrf2).Methods:Twenty-four clean-grade healthy male Sprague-Dawley rats, aged 8-10 weeks, weighing 250-300 g, were divided into 4 groups ( n=6 each) using a random number table method: sham operation group (Sham group), SCI group, SCI+ baicalein group (SCI+ Bai group) and SCI+ baicalein+ ML385 group (SCI+ Bai+ ML385 group). The high-level SCI rat model was established by the modified Allens method. In Sham group, the 7th cervical vertebra (C 7) was only exposed, but the spinal cord was not hit. In SCI group, C 7 was exposed and the spinal cord was hit. In SCI+ Bai group, baicalein 50 mg/kg was intraperitoneally injected immediately after SCI. In SCI+ Bai+ ML385 group, Nrf2 inhibitor ML385 30 mg/kg was intraperitoneally injected at 1 h before SCI, and baicalein 50 mg/kg was intraperitoneally injected immediately after SCI. The rats were anesthetized at 24 h after SCI and sacrificed after the blood samples from the abdominal aorta were collected and the hearts were taken for microscopic examination of the pathological changes (by HE staining) which were scored and the ultrastructure of cells (with a transmission electron microscope) and for determination of the serum cardiac troponin I (cTnI) concentrations (by enzyme-linked immunosorbent assay), content of ferrous ion (Fe 2+ ) in myocardial tissues (by colorimetry), contents of malondialdehyde(MDA) and glutathione (GSH) and activity of superoxide dismutase(SOD) in myocardial tissues (by biochemical method) and expression of glutathione peroxidase 4 (GPX4), acyl CoA synthase long chain family member 4 (ACSl4) and Nrf2 protein and mRNA in myocardial tissues (by Western blot and fluorescent quantitative polymerase chain reaction). The mitochondrial Flameng score was assessed and recorded. Results:Compared with Sham group, the pathological score, mitochondrial Flameng score and serum cTnI concentrations were significantly increased, the contents of Fe 2+ and MDA in myocardial tissues were increased, the content of GSH and SOD activity were decreased, the expression of GPX4 was down-regulated, and the expression of ACSL4 and Nrf2 was up-regulated in SCI group ( P<0.05). Compared with SCI group, the pathological score, mitochondrial Flameng score and serum cTnI concentration were significantly decreased, the contents of Fe 2+ and MDA in myocardial tissues were decreased, the contents of GSH and SOD activity were increased, the expression of GPX4 and Nrf2 was up-regulated, and the expression of ACSL4 was down-regulated in SCI+ Bai group ( P<0.05). Compared with SCI+ Bai group, the pathological score, mitochondrial Flameng score and serum cTnI concentrations were significantly increased, the contents of Fe 2+ and MDA in myocardial tissues were increased, the content of GSH and SOD activity were decreased, the expression of GPX4 and Nrf2 was down-regulated, and the expression of ACSL4 was up-regulated in SCI+ Bai+ ML385 group ( P<0.05). Conclusions:Baicalein can alleviate acute myocardial injury in rats with high-level SCI, and Nrf2 is involved in this process.