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 evaluate the value of serum Mac-2 binding protein (M2BP) for assessment of the severity of schisto somiasis-induced liver fibrosis, so as to provide insights into non-invasive diagnosis and disease surveillance of liver fibrosis caused by schistosomiasis. Methods A total of 234 individuals with a history of Schistosoma japonicum infection were sampled from Xinhua Village, Lushan City, Jiangxi Province from 2019 to 2020, and 234 serum samples were collected from all participants. All participants received B-ultrasound examinations of the liver. Serum samples were categorized into four groups (grades 0, Ⅰ, Ⅱ and Ⅲ schistosomiasis-induced liver fibrosis groups) according to B-ultrasound examination results, and then, each group was randomly divided into a receiver operating characteristic (ROC) curve group and an efficacy assessment group at a ratio of 7∶3. Serum M2BP concentration was measured in four groups using the enzyme-linked immunosorbent assay (ELISA), and differences in serum M2BP concentrations were compared with analysis of variance and Spearman correlation analysis. Serum M2BP concentration was subjected to ROC curve analysis among individuals with different grades of schistosomiasis-induced liver fibrosis in the ROC curve group to determine the optimal diagnostic threshold of M2BP concentration at different fibrosis grades, and the area under the ROC curve (AUC) was calculated to evaluate the diagnostic performance. The diagnostic accuracy was verified by comparing the accordance rate and Kappa consistency test in the efficacy assessment group. Results Among 234 serum samples, there were 79 samples with grade 0 schistosomiasis-induced liver fibrosis, 87 samples with Grade Ⅰ, 46 samples with Grade Ⅱ and 22 samples with Grade Ⅲ according to the B-ultrasound examinations. The mean serum M2BP concentrations were (0.40 ± 0.31) [95% confidence interval (CI): (0.33, 0.47)], (0.64 ± 0.48) [95% CI: (0.53, 0.74)], (1.76 ± 0.58) [95% CI: (1.59, 1.93)] μg/mL and (2.56 ± 0.93) [95% CI: (2.14, 2.97)] μg/mL in the four groups, respectively (F = 150.796, P < 0.001), and the severity of schistosomiasis-induced liver fibrosis significantly positively correlated with serum M2BP concentration (rs = 0.715, P < 0. 001). The sample sizes of grades 0, Ⅰ, Ⅱ and Ⅲ schistosomiasis-induced liver fibrosis sera were randomly allocated as follows: 55 versus 24, 61 versus 26, 32 versus 14, and 15 versus 7 in the ROC curve and efficacy assessment groups, respectively, and the serum M2BP concentrations were (0.39 ± 0.29) μg/mL and (0.42 ± 0.36) μg/mL (F = 0.196, P > 0.05), (0.59 ± 0.47) μg/mL and (0.75 ± 0.51) μg/mL (F = 1.967, P > 0.05), (1.73 ± 0.59) μg/mL and (1.85 ± 0.57) μg/mL (F = 0.417, P > 0.05), and (2.46 ± 0.64) μg/mL and (2.76 ± 1.41) μg/mL (F = 0.491, P > 0.05), respectively. ROC curve analysis showed that the optimal diagnostic thresholds of serum M2BP concentration were 0.347 86 μg/mL (AUC = 0.635, P < 0.05), 1.188 83 μg/mL (AUC = 0.938, P < 0.000 1) and 2.021 21 μg/mL (AUC = 0.821, P < 0.000 1) for grade Ⅰ, Ⅱ and Ⅲ schistosomiasis-induced liver fibrosis. In addition, the accordance rates between the optimal diagnostic threshold of serum M2BP and B-ultrasound examinations for predicting grade Ⅰ, Ⅱ and Ⅲ schistosomiasis-induceed liver fibrosis were 69.23%, 85.71% and 71.43% (χ2 = 1.340, P > 0.05), and the overall Kappa consistency test showed moderate consistency [Kappa = 0.608, 95% CI: (0.428, 0.788); Z = 6.609, P < 0.000 1]. Conclusions Serum M2BP may serve as a potential biomarker for assessing moderate to advanced schistosomiasis-induced liver fibrosis; however, its diagnostic value for early-stage schistosomiasis-induced liver fibrosis remains limited.

Obesity, as a chronic recurrent disease, has become a major public health challenge in China. To implement the requirements of the Healthy China Initiative (2019—2030), under domestic guidelines or consensus statements on overweight and obesity, and in alignment with the latest scientific advances globally, the Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition) was developed. This protocol was drafted by the Health Management Center of Shanghai Changzheng Hospital and formulated through multiple rounds of deliberation by experts in China’s health examination quality control field. The protocol establishes unified standards for screening facilities, personnel qualifications, and measurement or testing procedures. It defines specific screening items, outlines a standardized screening pathway, and sets requirements for the final medical review, ensuring the scientific validity, effectiveness, and safety of the screening process. The implementation of this protocol will enhance the consistency of weight management practices for adults across health examination institutions and strengthen the quality control of overweight and obesity screening programs.

Objective : To investigate the biological functions and regulatory mechanism of hexokinase(HK2) in driving tumor initiation and development of prostate cancer. Methods: Immunohistochemical staining was employed to assess HK2 expression in benign prostate tissue and prostate cancer tissue. Correlation analyses were performed to elucidate the association of HK2 expression and clinical factors. Western blot analyses were employed to assess HK2 expression in prostate cancer cell lines. Cellular viability was assessed using the MTT assay.In vivotumorigenesis ability of HK2 was evaluated using xenograft animal models. Glucose flux tracing was conducted through isotopic analyses in prostate cancer cells. Results : HK2 expression was elevated in prostate cancer tissues compared to benign prostate tissues(P<0.05). HK2 expression was positively correlated with Gleason Score, prostate-specific antigen(PSA) levels and the presence of metastases(P<0.05). Overexpression ofHK2enhanced cell proliferationin vitro(P<0.01). Knockdown ofHK2decreased tumorigenesisin vivo. HK2 augmented metabolic activity of glycolysis pathway in prostate cancer cells(P<0.05). Conclusion HK2 facilitates tumorigenesis in prostate cancer by upregulating glycolytic activity.

Objective:To evaluate the value of a combined model based on primary lesion 18F-fluorodeoxyglucose ( 18F-FDG) PET/CT radiomics for predicting lymph node metastasis in non-small cell lung cancer (NSCLC) . Methods:A retrospective analysis was conducted on the clinical data of 203 NSCLC patients who underwent pre-treatment PET/CT imaging at Nanjing Drum Tower Hospital from June 2013 to July 2023. Patients were randomly assigned to the training set ( n=142) and the validation set ( n=61) at a ratio of 7∶3. A predictive model was developed in the training set, and its predictive performance and clinical application value were assessed in both the training and validation sets. Traditional PET/CT parameters and PET/CT radiomics features of the primary lesion were obtained by 3D-slicer software. Least absolute shrinkage and selection operator (LASSO), random forest, and extreme gradient boosting were performed to extract features. Support vector machine was used to construct a radiomics score (Radscore). Univariate and multivariate logistic regression analysis was used to predict the influencing factors of lymph node metastasis in NSCLC patients and to establish models. Predictive performance of the models was evaluated by receiver operator characteristic (ROC) curves and clinical application value was assessed by calibration curves and decision curve analysis (DCA) . Results:Among 203 NSCLC patients, 116 had lymph node metastasis, with 64 cases in the training set and 52 cases in the validation set. Three complementary classical machine learning methods were used for feature screening, and finally 10 radiomics features were obtained. The optimal threshold for Radscore-PET was 0.43 and the optimal threshold for Radscore-CT was 0.39. Univariate analysis showed that, sex ( OR=0.48, 95% CI: 0.24-0.95, P=0.036), tumor marker levels ( OR=3.81, 95% CI: 1.84-7.91, P<0.001), long diameter of tumor ( OR=2.56, 95% CI: 1.27-5.16, P=0.009), short diameter of tumor ( OR=3.73, 95% CI: 1.75-7.92, P=0.001), vacuolar sign ( OR=0.32, 95% CI: 0.12-0.86, P=0.024), ring-like metabolism ( OR=3.67, 95% CI: 1.33-10.13, P=0.012), maximum standardized uptake value (SUV max) ( OR=6.57, 95% CI: 3.03-14.25, P<0.001), metabolic tumor volume (MTV) ( OR=2.91, 95% CI: 1.43-5.92, P=0.003), total lesion glycolysis (TLG) ( OR=4.23, 95% CI: 2.08-8.59, P<0.001), Radscore-PET ( OR=21.93, 95% CI: 9.04-53.20, P<0.001) and Radscore-CT ( OR=13.72, 95% CI: 6.12-30.76, P<0.001) were all influencing factors for predicting lymph node metastasis in NSCLC patients. Multivariate analysis showed that, tumor marker levels ( OR=2.55, 95% CI: 1.11-5.90, P=0.028), vacuolar sign ( OR=0.26, 95% CI: 0.08-0.83, P=0.023), SUV max ( OR=5.94, 95% CI: 1.99-17.75, P=0.001), Radscore-PET ( OR=25.51, 95% CI: 5.92-110.22, P<0.001), and Radscore-CT ( OR=8.68, 95% CI: 2.73-27.61, P<0.001) were independent influencing factors for predicting lymph node metastasis in patients with NSCLC. Based on the above independent influencing factors, models were constructed: the traditional model (tumor marker levels, vacuolar sign, SUV max), the PET model (SUV max, Radscore-PET), the CT model (vacuolar sign, Radscore-CT), and the combined model (tumor marker levels, vacuolar sign, SUV max, Radscore-PET, Radscore-CT). ROC curve analysis showed that, the area under curve (AUC) of the traditional, PET, CT, and combined models in the training set were 0.75 (95% CI: 0.67-0.82), 0.90 (95% CI: 0.84-0.95), 0.85 (95% CI: 0.78-0.90), and 0.94 (95% CI: 0.88-0.97), respectively. The predictive value of the combined model was higher than that of the traditional model ( Z=5.01, P<0.001), the PET model ( Z=1.99, P=0.047), and the CT model ( Z=3.25, P=0.001). In the validation set, the AUCs for the traditional model, PET model, CT model, and combined model were 0.65 (95% CI: 0.52-0.77), 0.86 (95% CI: 0.74-0.93), 0.85 (95% CI: 0.73-0.93), and 0.90 (95% CI: 0.80-0.96), respectively. The predictive value of the combined model was superior to that of the traditional model ( Z=3.23, P=0.001). The sensitivity and specificity of the combined model in the training set were 84.37% and 91.03%, while in the validation set, the sensitivity and specificity were 82.61% and 94.74%, respectively. Calibration curves showed a good agreement between the predicted and actual probabilities in both the training and validation sets. DCA showed that the combined models had good discriminative ability in both the training and validation sets. Conclusions:Tumor marker levels, vacuolar sign, SUV max, Radscore-PET, and Radscore-CT are all independent influencing factors for predicting lymph node metastasis in patients with NSCLC. The combined model based on these factors demonstrates excellent predictive performance and clinical application value for predicting lymph node metastasis in NSCLC.

Objective:To evaluate the prognostic value of 18F-fluorodeoxyglucose ( 18F-FDG) PET/CT metabolic parameters in small cell lung cancer (SCLC) . Methods:A retrospective analysis was conducted on the clinical and imaging data of 156 SCLC patients, who underwent 18F-FDG PET/CT imaging and were diagnosed by histopathological examination at Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School from September 2013 to February 2024. The metabolic tumor volume (MTV), total lesion glycolysis (TLG), linear regression slope, area under the curve of cumulative standard uptake value (SUV) volume histogram (AUC-CSH), and coefficient of variation (CV) were calculated using LIFEx software with different SUV thresholds. Univariate and multivariate analyses were performed using Cox proportional hazards model. Patient stratification was based on the critical values determined by receiver operator characteristic (ROC) curve analysis. The survival curve was plotted using the Kaplan-Meier method and log-rank test was performed. Results:Univariate analysis showed that MTV 40% ( HR=2.91, 95% CI: 1.55-5.47, P=0.001), MTV 60% ( HR=2.31, 95% CI: 1.29-4.17, P=0.005), TLG 40% ( HR=2.07, 95% CI: 1.19-3.60, P=0.010), linear regression slope ( HR=0.45, 95% CI: 0.26-0.79, P=0.005), and CV 40% ( HR=0.27, 95% CI: 0.08-0.84, P=0.024) were factors affecting progression-free survival (PFS) in SCLC patients. MTV 40% ( HR=1.98, 95% CI: 1.22-3.22, P=0.005), MTV 60% ( HR=1.80, 95% CI: 1.12-2.88, P=0.015), MTV 80% ( HR=1.71, 95% CI: 1.08-2.74, P=0.024), TLG 40% ( HR=3.68, 95% CI: 1.59-8.49, P=0.002), linear regression slope ( HR=0.49, 95% CI: 0.30-0.80, P=0.004), and AUC-CSH 80% ( HR=0.44, 95% CI: 0.23-0.84, P=0.013) were found to be factors affecting overall survival (OS) in SCLC patients. Multivariate analysis revealed that MTV 40% ( HR=4.76, 95% CI: 1.11-20.50, P=0.036) was an independent factor influencing PFS, and TLG 40% ( HR=3.19, 95% CI: 1.02-9.92, P=0.046) was an independent factor influencing OS in SCLC patients. ROC curve analysis identified the optimal cutoff value for MTV 40% in predicting PFS as 5.5cm 3 and the optimal cutoff value for TLG 40% in predicting OS as 41.5 g in SCLC patients. Survival analysis showed that patients with MTV 40%≤5.5 cm 3 ( n=33) had a median PFS that was not reached, while patients with MTV 40%>5.5 cm 3 ( n=123) had a median PFS of 10.3 months, with a statistically significant difference ( χ2=12.09, P=0.001). For patients with TLG 40%≤41.5 g ( n=35), the median OS was not reached, whereas for TLG 40%>41.5 g ( n=121), the median OS was 31.6 months, with a statistically significant difference ( χ2=10.55, P=0.001) . Conclusions:The 18F-FDG PET/CT metabolic parameter MTV 40% is an independent factor influencing PFS, while TLG 40% is an independent factor influencing OS in SCLC patients. The above two parameters may serve as indicators for assessing the prognosis of SCLC patients.

Objective To explore the communication preferences for advance care planning(ACP)among elderly hospitalized patients and to provide references for improving the ACP implementation rate.Methods Convenience sampling was used to select elderly hospitalized patients from a tertiary hospital in Wenzhou City between April and November 2023.Face-to-face surveys were conducted using a general data collection form and a self-designed questionnaire on ACP communication preferences.Mixed Logit Model,willingness-to-pay analysis,relative importance analysis,and subgroup analysis were employed to explore preferences.Results 204 questionnaires were distributed and 200 valid questionnaires were recovered,with a valid questionnaire response rate of 98.04％.The Mixed Logit Model analysis indicated that key attributes-communication timing,communication form,family participation in ACP communication,legal validity of ACP documents,and out-of-pocket costs-significantly influenced preferences(P＜0.05).Willingness-to-pay analysis showed that changes in communication timing,communication form,and family participation altered patients' willingness to pay.Relative importance analysis ranked the top 3 attributes as commu-nication timing,communication form,and family participation.Subgroup analysis revealed that gender,education level,and residence location affected preferences(P＜0.05).Conclusion Key attributes of ACP communication affect elderly hospitalized patients' preferences and willingness to pay,with variations across subgroups.Healthcare professionals should develop optimal communication programs based on patient preferences and individual characteristics.

Objective:To explore the effect of horizontal Baduanjin guided by interactive standard reaching theory(ISRT)on cardiac function and quality of life in patients with chronic heart failure(CHF).Methods:This random-ized controlled study enrolled 114 patients diagnosed with CHF in Bozhou People's Hospital between September 2024 and February 2025.Patients were randomly divided into control group(n=57,routine nursing care)and interven-tion group(n=57,horizontal Baduanjin under the guidance of interactive standard theory).Both groups were con-tinuously treated for 3 months.Cardiac function indexes,N-terminal pro-brain natriuretic peptide(NT-proB-NP),self-care ability,quality of life and incidence of major adverse cardiovascular events(MACE)were com-pared between the two groups.Results:Compared to patients in the control group,those in the intervention had significant higher left ventricular ejection fraction(LVEF)[(56.34±0.86)％vs.(46.69±0.91)％],6min walking distance(6MWD)[(477.16±6.62)m vs.(451.39±4.17)m]and the proportion of New York Heart Association(NYHA)class Ⅱ(70.18％vs.35.09％),and significant lower NT-proBNP[(237.76±6.41)pg/ml vs.(377.46±6.85)pg/ml],scores of the European heart failure self-care behavior scale 9(EHFSCB-9)[(12.61±1.81)points vs.(25.51±1.71)points],the physical domain[(3.96±0.91)points vs.(11.05±0.79)points],emotional domain[(4.00±0.85)points vs.(11.95±0.81)points]and other domain[(4.05±0.83)points vs.(13.47±1.15)points]of MLHFQ(P＜0.001 all).Compared to those in the control group,patients in intervention group had significant lower incidence of MACE(7.02％vs.22.81％,P=0.035).Conclusion:Under the guidance of the interactive standard theory,the horizontal Baduanjin exercise may enhance the cardiac function,improve self-care ability and quality of life in patients with chronic heart failure.

Young management talents are the driving force behind the refined management of hospitals and the future and hope of high-quality development.In the context of the new era,high-quality development has become the main theme of reform and development in public hospitals,which puts forward new and higher requirements for the cultivation of young management tal-ents in hospitals.Based on literature research,this article systematically summarizes and explores the concept and characteristics of young management talents in hospitals.Taking Jiangsu Provincial People's Hospital as an example,it actively supports and serves the growth and development of young management talents through specific practices such as optimizing organizational man-agement,improving training systems,strengthening incentive mechanisms,and smoothing development channels.These practices have achieved good results and aim to provide references for the cultivation and development of young management talents in pub-lic hospitals in China.

Objective:A camelid natural nanobody library was screened to target S100 calcium-binding protein B (S100B) for obtaining high-affinity and specific nanobodies (Nbs), which provided a molecular basis for the early diagnosis and prognostic treatment of malignant melanoma.Methods:In this study, affinity panning was employed to isolate S100B-specific nanobodies with unique complementarity-determining region 3 (CDR3) sequences from a camelid natural nanobody library. The selected Nbs were expressed in a prokaryotic system and purified via Ni-NTA affinity chromatography. The affinity, specificity, and diagnostic potential of the Nbs were evaluated using enzyme-linked immunosorbent assay (ELISA), western blot, and bio-layer interferometry (BLI).Results:A camelid natural anti-S100B nanobody library with a capacity of 1.91×10 8 CFU was successfully constructed. Affinity panning yielded 30 S100B-specific Nbs, among which Nb107, Nb122, Nb212, and Nb324 with distinct CDR3 sequences were selected for expression. Following Ni-NTA purification, all four anti-S100B Nbs exhibited high purity. Western blot analysis confirmed their ability to recognize recombinant S100B. ELISA and BLI analyses revealed that Nb212 demonstrated high affinity (1.96×10 -11 mol). Additionally, Nb107, Nb122, and Nb212 exhibited broad-spectrum recognition capabilities, binding to various tumor cell lines (Hepa1-6, GL261, 4T1, CT26) as well as murine/human melanoma cells. These Nbs also effectively bound to native murine/human antigens in serum samples from melanoma (A375, B16F10) mouse models. Conclusions:Specific anti-S100B Nbs are successfully screened and expressed, demonstrating not only recognition of native conformational antigens but also broad-spectrum binding and high affinity. These findings highlight their significant potential for developing early diagnostic assays and broad-spectrum targeted vaccines or therapeutics against diverse tumor cells.