ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

Objective: To evaluate the methodological quality and reporting quality of clinical practice guidelines or expert consensus on blood transfusion and blood use (BTBU) in China (hereinafter referred to as "guidelines/consensus"), providing reference for the development and updating of future BTBU guidelines/consensus. Methods: A systematic search was conducted in Chinese databases such as China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Data-base, relevant guideline release platforms, and professional association websites. BTBU-related guidelines/consensus published between January 2006 and December 2025 were included. According to the inclusion and exclusion criteria, after completing literature screening and data extraction, three evaluators independently assessed the quality of the included literature using the Scientificity, Transparency, and Applicability of Guidelines Rating Tool (STAR), the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ), and the International Practice Guideline Reporting Standards (RIGHT). Results: A total of 29 documents were included, including 5 guidelines, 22 consensus statements, and 2 protocols. The results of the STAR assessment showed that the total score was (21.7±8.8)%. The domain score ratios for registration, research protocol, funding, working group, conflict of interest, clinical question, evidence, consensus method, recommendation, accessibility and other domains were (2.2±12.1)%, 0, (36.7±25.1)%, (18.3±7.6)%, (19.2±15.3)%, (16.6±23.1)%, (15.1±6.3)%, (9.6±21.2)%, (54.3±18.4)%, (31.7±10.4)% and (10.3±31.0)%, respectively. For the AGREE Ⅱ assessment, the methodological quality of 26 articles was rated Grade B and 3 articles Grade C. The results of the RIGHT assessment indicated that the overall reporting rate of all guidelines/consensuses was (65.3±4.0)%. Conclusion: The methodological and reporting quality of current expert guidelines/consensus on BTBU in China still need improvement, and guidelines and consensus should be strictly formulated and standardized according to the standards of STAR, AGREE II and RIGHT.

ObjectiveTo elucidate the expression patterns of CYHR1 in colorectal cancer （CRC） and its regulatory role in tumour cell proliferation and metastasis-related phenotypes. MethodsExpression differences of CYHR1 between colorectal cancer tissues and adjacent normal tissues were analyzed using data from The Cancer Genome Atlas （TCGA） database， and the association between CYHR1 expression and patient survival was evaluated. A CRC cell model with CYHR1 overexpression was established， and changes in the expression of related molecules were verified by quantitative real-time PCR （qRT-PCR）. Cell proliferation and metastatic potential were assessed using MTT assays， colony formation assays， and Transwell migration and invasion assays to evaluate the effects of CYHR1 and MALAT1 on CRC cell proliferation and migration/invasion， including combined intervention experiments. ResultsDatabase analysis revealed that CYHR1 is significantly overexpressed in CRC tissues， and that this overexpression is significantly associated with poorer overall survival. Compared with normal control cells， mRNA expression levels of CYHR1 were markedly elevated in CRC cell lines （HCT116， RKO， etc.） （P=0.002； P=0.006）. Functional experiments demonstrated that CYHR1 overexpression significantly promoted the proliferation （P＜0.001）， colony formation （P＜0.001）， migration （P=0.002） and invasive capacity （P=0.002） of HCT116 cells； whereas knockdown of either CYHR1 or MALAT1 inhibited CRC cell proliferation and reduced their migration （P=0.006） and invasive capacity （P=0.006）. In the context of CYHR1 overexpression， combined knockdown of MALAT1 partially reversed the promotional effect of CYHR1 on CRC cell proliferation， migration and invasion （P＜0.001； P=0.001）. Mechanistic studies further revealed that CYHR1 overexpression upregulates MALAT1 mRNA expression levels （P＜0.001）， whilst CYHR1 knockdown leads to downregulation of MALAT1 expression （P＜0.001）； MALAT1 knockdown likewise downregulates CYHR1 expression， suggesting a mutually reinforcing positive regulatory relationship between the two. Furthermore， CYHR1 can activate the IL-6/STAT3 signalling axis， whilst knockdown of IL-6 or STAT3 inhibited the upregulation of MALAT1 expression by CYHR1 （P=0.031； P=0.006）. ConclusionCYHR1 is abnormally overexpressed in colorectal cancer and is closely associated with poor prognosis. CYHR1 may promote the proliferation， migration， and invasion of colorectal cancer （CRC） cells by activating the IL-6/STAT3/MALAT1 axis.

Objective:To evaluate the safety and effectiveness of fuzuloparib for the treatment of ovarian epithelial cancer patients in the real world setting.Methods:A retrospective analysis was conducted on the baseline data of 4 620 ovarian cancer patients who had received fuzuloparib monotherapy or combination therapy. Another 224 ovarian cancer patients who were willing to receive fuzuloparib monotherapy or combination therapy were prospectively enrolled, and their baseline characteristics, drug effectiveness, and safety data were analyzed.Results:(1) Among the 4 620 patients in the retrospective cohort, the median age of patients was 60 years; tumor types: 89.8% (4 149/4 620) had ovarian cancer. Among patients with clearly documented information, the vast majority had a histological type of serous carcinoma (82.9%, 3 770/4 546) and International Federation of Gynecology and Obstetrics (FIGO) staging of Ⅲ-Ⅳ (90.9%, 1 537/1 691). (2) Among the 224 patients in the prospective cohort, the median age of patients was 57 years; tumor types: 83.9% (188/224) had ovarian cancer. Among patients with clearly documented records, the predominant pathologic type was serous carcinoma (91.9%, 193/210), and FIGO stage was Ⅲ-Ⅳ in 79.9% (139/174). (3) Among the 224 prospective patients: 84 patients received first-line fluzoparib maintenance therapy, 92 patients received fluzoparib maintenance therapy after platinum-sensitive recurrence, 23 patients received direct fluzoparib treatment after platinum-sensitive recurrence, 19 patients received direct fluzoparib treatment after platinum-resistant recurrence. The median follow-up durations were 8.5, 8.7, 7.9, and 6.7 months, respectively. The median durations of fluzoparib treatment were 6.7, 4.8, 3.1, and 1.9 months, respectively. The median progression-free survival (PFS) times were not reached during follow-up, 12.6 months, not reached during follow-up, and 4.8 months, respectively. The 1-year PFS rates were 84.1%, 55.0%, 69.8%, and 45.5%, respectively. The remaining 6 patients received other fluzoparib regimens. (4) Among the 224 patients in the prospective dataset, 205 had safety data recorded. Of these, 127 patients (62.0%, 127/205) experienced treatment-related adverse events, with common events including anemia (24.4%, 50/205), thrombocytopenia (21.0%, 43/205), and leukopenia (19.5%, 40/205). Among the 205 patients, 43 (21.0%, 43/205) experienced grade 3 or higher treatment-related adverse events, with common events including anemia (8.3%, 17/205) and thrombocytopenia (8.3%, 17/205).Conclusions:The effectiveness of fuzuloparib in clinical application is generally consistent with other drugs in the same class, with good safety. This study provids new clinical evidence for the treatment of ovarian cancer with fuzuloparib.

Objective With the increasing demand from the country for optimizing the allocation of medical resources and improving service balance,this study aims to promote the improvement of regional medical service levels through the explora-tion and practice of the management model of provincial medical quality control centers.Methods The First Affiliated Hospital of Sun Yat-sen University,as the affiliated unit of one of the 14 provincial quality control centers,organizes the quality control center to play a professional role and improve its management efficiency through stable construction,solid framework,reorgani-zation,and multiple support.Results With the leadership and support of the health administrative department in Guangdong Province,the hospital has organized the provincial quality control center to carry out its work in an orderly manner,promoting the continuous improvement of the comprehensive strength of regional medical services and key indicators of various professional qual-ity control centers.Conclusion The management model of the quality control center in this study has shown initial effectiveness.

Objective With the increasing demand from the country for optimizing the allocation of medical resources and improving service balance,this study aims to promote the improvement of regional medical service levels through the explora-tion and practice of the management model of provincial medical quality control centers.Methods The First Affiliated Hospital of Sun Yat-sen University,as the affiliated unit of one of the 14 provincial quality control centers,organizes the quality control center to play a professional role and improve its management efficiency through stable construction,solid framework,reorgani-zation,and multiple support.Results With the leadership and support of the health administrative department in Guangdong Province,the hospital has organized the provincial quality control center to carry out its work in an orderly manner,promoting the continuous improvement of the comprehensive strength of regional medical services and key indicators of various professional qual-ity control centers.Conclusion The management model of the quality control center in this study has shown initial effectiveness.

Objective:To evaluate the safety and effectiveness of fuzuloparib for the treatment of ovarian epithelial cancer patients in the real world setting.Methods:A retrospective analysis was conducted on the baseline data of 4 620 ovarian cancer patients who had received fuzuloparib monotherapy or combination therapy. Another 224 ovarian cancer patients who were willing to receive fuzuloparib monotherapy or combination therapy were prospectively enrolled, and their baseline characteristics, drug effectiveness, and safety data were analyzed.Results:(1) Among the 4 620 patients in the retrospective cohort, the median age of patients was 60 years; tumor types: 89.8% (4 149/4 620) had ovarian cancer. Among patients with clearly documented information, the vast majority had a histological type of serous carcinoma (82.9%, 3 770/4 546) and International Federation of Gynecology and Obstetrics (FIGO) staging of Ⅲ-Ⅳ (90.9%, 1 537/1 691). (2) Among the 224 patients in the prospective cohort, the median age of patients was 57 years; tumor types: 83.9% (188/224) had ovarian cancer. Among patients with clearly documented records, the predominant pathologic type was serous carcinoma (91.9%, 193/210), and FIGO stage was Ⅲ-Ⅳ in 79.9% (139/174). (3) Among the 224 prospective patients: 84 patients received first-line fluzoparib maintenance therapy, 92 patients received fluzoparib maintenance therapy after platinum-sensitive recurrence, 23 patients received direct fluzoparib treatment after platinum-sensitive recurrence, 19 patients received direct fluzoparib treatment after platinum-resistant recurrence. The median follow-up durations were 8.5, 8.7, 7.9, and 6.7 months, respectively. The median durations of fluzoparib treatment were 6.7, 4.8, 3.1, and 1.9 months, respectively. The median progression-free survival (PFS) times were not reached during follow-up, 12.6 months, not reached during follow-up, and 4.8 months, respectively. The 1-year PFS rates were 84.1%, 55.0%, 69.8%, and 45.5%, respectively. The remaining 6 patients received other fluzoparib regimens. (4) Among the 224 patients in the prospective dataset, 205 had safety data recorded. Of these, 127 patients (62.0%, 127/205) experienced treatment-related adverse events, with common events including anemia (24.4%, 50/205), thrombocytopenia (21.0%, 43/205), and leukopenia (19.5%, 40/205). Among the 205 patients, 43 (21.0%, 43/205) experienced grade 3 or higher treatment-related adverse events, with common events including anemia (8.3%, 17/205) and thrombocytopenia (8.3%, 17/205).Conclusions:The effectiveness of fuzuloparib in clinical application is generally consistent with other drugs in the same class, with good safety. This study provids new clinical evidence for the treatment of ovarian cancer with fuzuloparib.

OBJECTIVE To analyze the impact of hospital-acquired infections on medical resource consumption un-der the diagnosis-related group(DRG)payment method.METHOD Medical record information and settlement lists of all discharged patients from Zhejiang Provincial People's Hospital from 2022 to 2023 were selected.Based on the Zhejiang Provincial Medical Insurance Bureau's diagnosis-related groups(ZJ-DRG)Edition 1.0,indicators such as time consumption index,cost consumption index,length of stay,total hospitalization costs and detailed cost breakdowns were used to analyze cases in the hospital-acquired infection group and the non-hospital-ac-quired infection group.RESULTS Among the 268 278 cases included in the study,2 186 were infected,with an in-fection rate of 0.81％.The infection rates for medical DRG disease group,surgical DRG disease group,and proce-dural DRG disease group were 0.86％(917/105 916),0.82％(1 069/131 112),and 0.64％(200/31 250),re-spectively.The time consumption index and cost consumption index were higher in the hospital-acquired infection group than in the non-hospital-acquired infection group(P＜0.05).In the RW21 group,the length of stay,total hospitalization costs and detailed cost breakdowns were all higher in the hospital-acquired infection group than in the non-hospital-acquired infection group(P＜0.05).Similarly,in the BB21 and GK11 groups,the hospital-ac-quired infection group had high length of stay,total hospitalization costs,medicine fees,treatment fees,material fees,laboratory fees,examination fees and other fees compared to the non-hospital-acquired infection group(P＜0.05).Bone(joint)infections,respiratory infections,and infectious fever had a significant impact on the time consumption index,while respiratory infections,bone(joint)infections and urinary tract infections had a relative-ly great impact on the cost consumption index.CONCLUSIONS Hospital-acquired infections result in additional consumption of medical resources.By analyzing the consumption of medical resources related to DRG disease groups,key monitoring disease groups for nosocomial infection control can be identified,which can aid relevant departments and clinical departments in taking early intervention measures,strengthen key prevention efforts,re-duce the incidence of nosocomial infections,and shorten the length of stay.

OBJECTIVE To analyze the impact of hospital-acquired infections on medical resource consumption un-der the diagnosis-related group(DRG)payment method.METHOD Medical record information and settlement lists of all discharged patients from Zhejiang Provincial People's Hospital from 2022 to 2023 were selected.Based on the Zhejiang Provincial Medical Insurance Bureau's diagnosis-related groups(ZJ-DRG)Edition 1.0,indicators such as time consumption index,cost consumption index,length of stay,total hospitalization costs and detailed cost breakdowns were used to analyze cases in the hospital-acquired infection group and the non-hospital-ac-quired infection group.RESULTS Among the 268 278 cases included in the study,2 186 were infected,with an in-fection rate of 0.81％.The infection rates for medical DRG disease group,surgical DRG disease group,and proce-dural DRG disease group were 0.86％(917/105 916),0.82％(1 069/131 112),and 0.64％(200/31 250),re-spectively.The time consumption index and cost consumption index were higher in the hospital-acquired infection group than in the non-hospital-acquired infection group(P＜0.05).In the RW21 group,the length of stay,total hospitalization costs and detailed cost breakdowns were all higher in the hospital-acquired infection group than in the non-hospital-acquired infection group(P＜0.05).Similarly,in the BB21 and GK11 groups,the hospital-ac-quired infection group had high length of stay,total hospitalization costs,medicine fees,treatment fees,material fees,laboratory fees,examination fees and other fees compared to the non-hospital-acquired infection group(P＜0.05).Bone(joint)infections,respiratory infections,and infectious fever had a significant impact on the time consumption index,while respiratory infections,bone(joint)infections and urinary tract infections had a relative-ly great impact on the cost consumption index.CONCLUSIONS Hospital-acquired infections result in additional consumption of medical resources.By analyzing the consumption of medical resources related to DRG disease groups,key monitoring disease groups for nosocomial infection control can be identified,which can aid relevant departments and clinical departments in taking early intervention measures,strengthen key prevention efforts,re-duce the incidence of nosocomial infections,and shorten the length of stay.