Objective To establish an effective management mode, play the full role of DRGs in rational drug use, formulate the pharmaceutical clinical path, and intervene the prescription behavior of doctors, which could improve the level of rational drug use in the hospital through the management practice of rational drug use under the payment method of DRGs in a third-grade hospital. Methods A drug entering mechanism, a rational drug use supervision mechanism and an active and rational drug use data exposure mechanism based on DRGs were established, and the rational drug use indicators such as drug consumption index, average drug cost, and auxiliary drug use were accurately positioned based on the information platform, and the accurate and refined management of rational drug use was realized through the daily supervision of the office of the Pharmaceutical Affairs Committee. Results and Conclusion Under the multi-dimensional and multi-level rational drug use management based on DRGs, the effect of rational drug use was evaluated after the reform of DRGs payment method, and all the index of rational drug use in our hospital were continuously improved.

Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Objective To assess the clinical value of multimodal ultrasound score for assessment of endometrial receptivity among patients with polycystic ovary syndrome (PCOS), and to provide guidance for improving pregnancy outcomes among PCOS patients. Methods A total of 48 PCOS patients admitted to Jiangning Hospital Affiliated to Nanjing Medical University between January and December 2023 were enrolled as the case group, while 50 healthy women of childbearing age received ovulation monitoring at the same hospital during the same period served as the control group. Subjects received two-dimensional grayscale ultrasound during the implantation window (19 to 23 days of the menstrual cycle) for measurement of endometrial thickness, Gonen classification, and endometrial peristalsis. Two-dimensional color Doppler ultrasound was used for assessment of endometrial blood flow and three-dimensional ultrasound was used for assessment of endometrial volume and vascularization flow index (VFI). The endometrium multimodal ultrasound scores were estimated, and various parameters were compared between the two groups. The diagnostic performance of these parameters for PCOS was evaluated with receiver operating characteristic (ROC) curves. Results The age of subjects in the case group ranged from 20 to 38 years, with a mean age of (28.20 ± 2.82) years, and their body mass index (BMI) ranged from 21.23 to 29.11 kg/m², with a mean BMI of (26.25 ± 1.60) kg/m². The age of subjects in the control group ranged from 22 to 38 years, with a mean age of (28.10 ± 1.99) years, and their BMI ranged from 21.33 to 29.03 kg/m², with a mean BMI of (26.10 ± 1.78) kg/m². There were no significant differences between the case and control groups in terms of mean age, BMI, estradiol, and testosterone (t = 0.218, 0.422, 0.010, and 0.221; all P > 0.05). The endometrial thickness, endometrial volume, and VFI were significantly higher in the control group than in the case group (t = 4.838, 4.978, and 7.115; all P < 0.05). There were significant differences between the two groups in terms of endometrial classification, endometrial peristalsis pattern, and endometrial and sub-endometrial blood flow (Z = −4.136, −4.048, and −3.884; all P < 0.05). The scores of endometrial classification, endometrial peristalsis, endometrial and sub-endometrial blood flow, endometrial volume, VFI, and multimodal ultrasound were significantly lower in the case group than in the control group (t = 4.539, 4.449, 4.205, 3.209, 5.206, and 4.495; all P < 0.05). No significant difference was detected in the endometrial thickness score between the two groups (t = -0.149, P = 0.882). The areas under the ROC curves for endometrial thickness, endometrial volume, VFI, and multimodal ultrasound scores in diagnosis of PCOS were 0.753, 0.747, 0.809, and 0.858, respectively. Conclusion Multimodal ultrasound score provides a comprehensive assessment of the endometrium, and is effective in the assessment of endometrial receptivity, which may provide a reference for guiding pregnancy planning in PCOS patients.

Objective To analyze the clinical efficacy of valve surgeries for infective endocarditis and the affecting factors, and compare the early- and long-term postoperative outcomes of different surgery approaches. Methods The patients with infective endocarditis who underwent valve replacement/valvuloplasty in our hospital from 2010 to 2022 were retrospectively collected. The clinical data of the patients were analyzed. Results A total of 343 patients were enrolled, including 197 patients with mechanical valve replacement, 62 patients with bioprosthetic valve replacement, and 84 patients with valvuloplasty. There were 238 males and 105 females with an average age of (44.2±14.8) years. Single-valve endocarditis was present in 200 (58.3%) patients, and multivalve involvement was present in 143 (41.7%) patients. Sixty (17.5%) patients had suffered thrombosis before surgery, including cerebral embolisms in 32 patients. The mean follow-up time was (60.6±43.8) months. Early mortality within one month after the surgery occurred in 17 (5.0%) patients, while later mortality occurred in 19 (5.5%) patients. Eight (2.3%) patients underwent postoperative dialysis, 13 (3.8%) patients suffered postoperative stroke, 6 patients underwent reoperation, and 3 patients suffered recurrence of infective endocarditis. Smoking (P=0.002), preoperative embolisms (P=0.001), duration of surgery (P=0.001), and postoperative dialysis (P=0.001) were risk factors for early mortality, and left ventricular ejection fraction ≥60% (P=0.022) was protective factor for early mortality. New York Heart Association classification Ⅲ-Ⅳ (P=0.010) and ≥3 valve procedures (P=0.028) were risk factors for late mortality. The rate of composite endpoint events was significantly lower in the valvuloplasty group than that in the valve replacement group. Conclusion For patients with infective endocarditis, smoking and preoperative embolisms are associated with high postoperative mortality, multiple-valve surgery is associated with a poorer prognosis, and valvuloplasty has advantages over valve replacement and should be attempted in the surgical management of patients with infective endocarditis.

OBJECTIVE To analyze the medication needs of parents of pediatric children in our hospital regarding drug instructions， and explore improvement strategies， thereby providing a basis for clinically guiding the rational use of drugs in pediatric patients. METHODS A self-designed questionnaire was used to randomly select the parents of pediatric patients in the pediatric outpatient and emergency departments of our hospital from July 1st to September 30th， 2024. A randomized face-to-face survey was conducted regarding their willingness to read drug instructions， their current understanding status， and their needs. The survey results were then statistically analyzed. RESULTS A total of 300 questionnaires were distributed in this survey， and 299 valid questionnaires were recovered， with an effective recovery rate of 99.7%. Before medication， the parents who “always” and “often” read the drug instructions in detail accounted for 39.1% （117 respondents） and 35.1% （105 respondents）， respectively. Statistically significant differences were observed in the willingness to read drug instructions among respondents with varying educational levels and occupations （P＜0.05）. Among the 299 respondents， only 48 people （16.1%）“ fully understood” the drug instructions， and the average understanding score of all the respondents was （3.77±0.83） points. The stronger the respondents’ willingness to read drug instructions， the higher their understanding scores of drug instructions （P＜0.05）. A total of 256 respondents thought that drug instructions were of great help to themselves， and the average helpfulness rating score of all the respondents was （4.28±0.78） points. Under the conditions of varying ages， educational levels， occupations， and willingness to read drug instructions， statistically significant differences were observed in the scores representing the degree of helpfulness of drug instructions to the respondents （P＜0.05）. Respondents paid the most attention to content in drug instructions such as “dosage and administration method”，“ adverse reactions”， and “indications and therapeutic categories”. The most difficult sections for them to understand included “chemical structure and properties”， “pharmacological and toxicological effects” ， and “pharmacokinetics”， etc. The demographic characteristics of the respondents were not significantly associated with the content areas of drug instructions they most desired to see improved （P＞0.05）. Most respondents （86.0%） hoped to improve the instructions mainly by “simplifying professional terms to make them more accessible”. Others included “highlighting key information” （60.5%） and “providing more detailed medication guidance” （49.2%）， etc. CONCLUSIONS Parents of pediatric patients in our hospital have a high demand for drug instructions but low comprehension. The pharmacy department should make targeted improvements to drug instructions based on parents’ actual needs， helping them accurately obtain medication knowledge and reduce potential medication safety risks.

OBJECTIVE To explore the characteristics and influential factors of pharmaceutical clinic service demands， providing evidence for optimizing pharmaceutical service models and facilitating pharmaceutical service models of pharmacist role transformation. METHODS A cross-sectional survey design was adopted， and 410 outpatient participants were selected from Fudan University Shanghai Cancer Center through convenience sampling for questionnaire administration from February to May 2025. Kano model was applied to analyze the demand attributes of 25 pharmaceutical services， while questionnaires were used to assess patients’ awareness and demand status. Subgroup analyses were conducted based on key demographic variables such as gender， age， educational attainment， and economic burdens， to SACA- systematically examine the differences in Kano attribute classification among patients in each subgroup. RESULTS The awareness rate of pharmaceutical outpatient services among patients was only 14.63%， yet those who were aware demonstrated a significantly higher demand rate for such services compared to those who were unaware （P＜0.001）. The demand for pharmaceutical clinic services exhibited a hierarchical characteristic： twelve items were identified as attractive attributes （e. g.， providing suggestions for more affordable treatment options， offering online consultation services， etc.）， five items as expected attributes （e.g.， having a good attitude and being able to patiently answer your questions， etc.）， three items as must-have attributes （e.g.， providing guidance on medication dosage and usage， providing guidance on medication precautions， etc.）， five items as indifferent attributes （e.g.， providing treatment plan recommendations based on the patient’s condition）. There were zero items classified as reverse attribute. Subgroup analysis revealed that female patients showed greater concern for “neat and clean attire of medical staff” than male patients （P＜0.001）； patients under 60 years of age demonstrated stronger demand for “providing treatment plan recommendations based on patients’ conditions” compared to patients aged 60 or above （P＝0.016）； those with below high school education placed greater emphasis on “providing guidance on medication precautions” compared to those with a high school education or above （P＝0.011）； patients with lower economic burdens exhibited stronger preferences for “neat and clean attire of medical staff ” （P＝0.002）. CONCLUSIONS The public awareness rate of pharmaceutical clinic services is considerably low； however， those who are aware of such services demonstrate significantly higher demand. The medication safety-related services and convenience-oriented demands should be prioritized in the development of pharmaceutical clinics. Moreover， the study also revealed that factors such as gender， age， educational level， and economic burdens exert significant influences on patients’ service demands.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.