[Objective] To analyze the distribution of Rh blood group phenotype in some ethnic groups in China, so as to provide references for accurate blood transfusion. [Methods] The data of CNKI, Wanfang data and VIP were retrieved using "Rh blood group" and "nationality", and the search of PubMed database was conducted with the keywords "Rh blood group", "nationalities", "ethnic groups" and "China", with retrieval time until September 19, 2024 Data were extracted from eligible studies and the literature quality was evaluated using the criteria for cross-sectional studies in STROBE statement. Meta analysis was performed using Stata 11.0 software. [Results] A total of 350 relevant literature were retrieved, of which 26 were included. The total sample size for Rh phenotype distribution detection were 31 432, and the total population for RhD negative screening was 47 227, covering 26 ethnic groups. Meta-analysis revealed that the Rh blood groups phenotype distribution in certain ethnic populations in China was mainly CCDee 46.7% (95%CI=46.2%-47.2%), CcDEe 30.1% (95%CI=29.5%-30.6%), and CcDee 9.0% (95%CI=8.7%-9.3%). Analysis of the RhD-negative phenotype indicated an negative rate of RhD of 0.3% (95%CI=0.2%-0.3%), with the main phenotype distributions of ccdee at 0.2% (95%CI=0.1%-0.2%) and ccdEe at 0.2% (95%CI=0.0%-0.4%). The meta-analysis results of the distribution of common phenotypes among different ethnic groups showed that the CCDee phenotype was mainly distributed as Hani>Dong>Buyi>Miao>Tujia>Hui>Zang>Kazakh>Mongol>Uygur; the CcDEe phenotype: Zang>Mongol>Hui; the CcDee phenotype: Uygur>Kazakh>Mongol>Zang>Hui>Dong>Miao>Tujia>Buyi; the ccDEE phenotype: Zang>Hui=Mongol. The results of this study are similar to those of Qingdao population in China, but differ from studies conducted in North India, German individuals of European ancestry and Saudi Arabian populations. [Conclusion] The distribution of Rh blood group phenotypes in some ethnic groups in China shows no significant difference compared to the Han population, but there are differences when compared to populations in other countries and regions.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To explore the relationship and underlying mechanisms between servant leadership and satisfaction of medical staff in tertiary hospitals, and to provide references for improving satisfaction of medical personnel.Methods:From January to June 2023, a questionnaire survey was conducted among on-duty medical staff at a tertiary hospital in Guangzhou using a simple random sampling method. Data corresponding to four key variables: servant leadership, hospital management level, affective commitment, and satisfaction of medical staff were collected. SPSS 25.0 software was used to perform independent samples t-tests and one-way analysis of variance (ANOVA) to examine group differences, and Pearson correlation analysis was conducted to explore the relationships among multiple variables. Amos 24.0 software was employed to construct a structural equation model to conduct confirmatory factor analysis of the four key variables, analyze potential mediating effects, and use multi-group analysis to examine differences in path parameters and structure among groups. Results:A total of 632 valid questionnaires were obtained. The satisfaction score of medical staff was (4.50±0.66)(maximum score was 5 points). Age, years of work experience, and job category had statistically significant effects on satisfaction of medical staff ( F = 5.799, 6.483, 7.671; P = 0.001). All four key variables were significantly positively correlated ( P<0.001). Servant leadership, hospital management level, and affective commitment all had direct positive effects on satisfaction of medical staff, with path coefficients of 0.207, 0.386, and 0.345, respectively ( P <0.05, critical ratio>1.96). Hospital management level and affective commitment each had independent partial mediating effects between servant leadership and satisfaction of medical staff (path coefficients of 0.353 and 0.067, respectively; P = 0.007, 0.018). They also jointly exerted a chain mediating effect (path coefficient of 0.243, P = 0.013). Differences in path effects among different job categories (clinical doctors, nurses, and administrative support staff) were statistically significant ( χ2 = 43.344, df = 24, P = 0.009). Conclusions:The servant leadership in tertiary hospitals can directly influence the satisfaction of medical staff, as well as indirectly influence it through emotional commitment and hospital management level. Moreover, the mechanisms of influence vary among medical staff of different professional categories. Tertiary hospitals should introduce and promote servant leadership styles, enhance the servant leadership behaviors of management personnel, and strengthen the synergistic effects of servant leadership, hospital management level, and affective commitment. Differential adjustment mechanisms should be implemented for different job categories.

Objective To compare the diagnostic performance of three breast MRI measurement methods—RECIST 1.1,the optimal method,and three-dimensional(3D)volumetric assessment—in assessing the efficacy of neoadjuvant chemotherapy(NAC)in breast cancer patients,with the objective of identifying the most clinically practical approach.Methods A total of 110 breast cancer patients who underwent NAC followed by surgical treatment between 2019 and 2023 were included in the study.Breast magnetic resonance imaging(MRI)was conducted within one week before and after the completion of NAC.Tumor response was evaluated using RECIST 1.1 criteria,widely recognized as the optimal method,as well as 3D volume measurement.Pathological response was determined according to the Miller-Payne grading system.Sensitivity,specificity,accuracy,and the area under the receiver operating characteristic curve(AUC)were computed and compared using the DeLong test.Results The AUC values for RECIST 1.1,the optimal method,and 3D volumetric assessment were 0.768,0.795,and 0.883,respectively.The 3D volumetric assessment exhibited significantly better discriminative performance(P＜0.05),with the highest sensitivity(98.9％),specificity(77.8％),and accuracy(95.5％).Additionally,the optimal method demonstrated superior performance over RECIST 1.1 across multiple parameters.Conclusions 3D volumetric mea-surement demonstrates superior performance compared to RECIST 1.1 and the optimal method in evaluating the response to NAC,offering a more accurate and comprehensive assessment tool.Additionally,the optimal method shows advantages over RECIST 1.1 and may serve as a practical alternative in settings where 3D software is not available.

Objective To compare the diagnostic performance of three breast MRI measurement methods—RECIST 1.1,the optimal method,and three-dimensional(3D)volumetric assessment—in assessing the efficacy of neoadjuvant chemotherapy(NAC)in breast cancer patients,with the objective of identifying the most clinically practical approach.Methods A total of 110 breast cancer patients who underwent NAC followed by surgical treatment between 2019 and 2023 were included in the study.Breast magnetic resonance imaging(MRI)was conducted within one week before and after the completion of NAC.Tumor response was evaluated using RECIST 1.1 criteria,widely recognized as the optimal method,as well as 3D volume measurement.Pathological response was determined according to the Miller-Payne grading system.Sensitivity,specificity,accuracy,and the area under the receiver operating characteristic curve(AUC)were computed and compared using the DeLong test.Results The AUC values for RECIST 1.1,the optimal method,and 3D volumetric assessment were 0.768,0.795,and 0.883,respectively.The 3D volumetric assessment exhibited significantly better discriminative performance(P＜0.05),with the highest sensitivity(98.9％),specificity(77.8％),and accuracy(95.5％).Additionally,the optimal method demonstrated superior performance over RECIST 1.1 across multiple parameters.Conclusions 3D volumetric mea-surement demonstrates superior performance compared to RECIST 1.1 and the optimal method in evaluating the response to NAC,offering a more accurate and comprehensive assessment tool.Additionally,the optimal method shows advantages over RECIST 1.1 and may serve as a practical alternative in settings where 3D software is not available.

Objective:To explore the relationship and underlying mechanisms between servant leadership and satisfaction of medical staff in tertiary hospitals, and to provide references for improving satisfaction of medical personnel.Methods:From January to June 2023, a questionnaire survey was conducted among on-duty medical staff at a tertiary hospital in Guangzhou using a simple random sampling method. Data corresponding to four key variables: servant leadership, hospital management level, affective commitment, and satisfaction of medical staff were collected. SPSS 25.0 software was used to perform independent samples t-tests and one-way analysis of variance (ANOVA) to examine group differences, and Pearson correlation analysis was conducted to explore the relationships among multiple variables. Amos 24.0 software was employed to construct a structural equation model to conduct confirmatory factor analysis of the four key variables, analyze potential mediating effects, and use multi-group analysis to examine differences in path parameters and structure among groups. Results:A total of 632 valid questionnaires were obtained. The satisfaction score of medical staff was (4.50±0.66)(maximum score was 5 points). Age, years of work experience, and job category had statistically significant effects on satisfaction of medical staff ( F = 5.799, 6.483, 7.671; P = 0.001). All four key variables were significantly positively correlated ( P<0.001). Servant leadership, hospital management level, and affective commitment all had direct positive effects on satisfaction of medical staff, with path coefficients of 0.207, 0.386, and 0.345, respectively ( P <0.05, critical ratio>1.96). Hospital management level and affective commitment each had independent partial mediating effects between servant leadership and satisfaction of medical staff (path coefficients of 0.353 and 0.067, respectively; P = 0.007, 0.018). They also jointly exerted a chain mediating effect (path coefficient of 0.243, P = 0.013). Differences in path effects among different job categories (clinical doctors, nurses, and administrative support staff) were statistically significant ( χ2 = 43.344, df = 24, P = 0.009). Conclusions:The servant leadership in tertiary hospitals can directly influence the satisfaction of medical staff, as well as indirectly influence it through emotional commitment and hospital management level. Moreover, the mechanisms of influence vary among medical staff of different professional categories. Tertiary hospitals should introduce and promote servant leadership styles, enhance the servant leadership behaviors of management personnel, and strengthen the synergistic effects of servant leadership, hospital management level, and affective commitment. Differential adjustment mechanisms should be implemented for different job categories.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To screen ferroptosis genes related to prognosis of malignant pleural mesothelioma(MPM),explore the relationship between ferroptosis and tumor immune microenvironment and provide a new perspective for targeting and immunotherapy of MPM patients.Methods:The differentially expressed genes(DEGs)in MPM tumor group and normal group were analyzed in GEO database;intersection of DEGs and ferroptosis genes to obtain differentially expressed ferroptosis-related genes(DE-FRGs).GO,KEGG function enrichment and protein protein interaction(PPI)were used to identify the signal pathways mainly involved by DE-FRGs.The prognosis related ferroptosis genes were identified by univariate COX analysis.LASSO regression analysis was used to screen the best DE-FRGs for establishing the risk prediction model,and a risk prognosis model based on the best DE-FRGs was estab-lished by multivariate cox analysis to verify the prediction effect of the model.Finally,CIBERSORT and other algorithms were used to analyze tumor immune cell infiltration and evaluate immune microenvironment.Results:Twenty-four prognosis related DE-FRGs were screened,which were mainly concentrated in ferroptosis,transcriptional regulation and response to inorganic substances.A MPM risk prediction model based on five ferroptosis-related genes(ALDH3A2,CAV1,HRAS,CDCA3 and RRM2)was established and vali-dated.In the model,the proportion of CD8+T cells and macrophages in high-risk group were higher,while the proportion of B lympho-cytes was lower.In addition,PD-1,CTLA-4 and their ligands at immune checkpoint had higher expression status in high-risk group.Conclusion:The MPM risk prediction model based on five ferroptosis-related genes is established,and the immune status in the model is clarified.It provides a certain research basis for targeting and immunotherapy of MPM.The predictive ability of this model in MPM needs to be further verified in clinical practice to better predict disease stratification and treatment management.

Objective To investigate the high risk factors of endometrial polyps (EPs)in infertile patients and its impact on the pregnancy outcome after embryo transfer.Methods A case-control trail was conducted on the infertility patients who undergoing embryo transfer in our hospital for the first time after hysteroscopy from January 2016 to December 2022.Their clinical data were collected and retrospectively analyzed.Univariate and stepwise logistic regression analyses were used to identify the risk factors for EPs,and the impact of polyps on the pregnancy outcomes of assisted reproductive pregnancy was analyzed with propensity score matching (PSM)at a 1:2 ratio.Results A total of 388 patients diagnosed with Eps and undergoing hysteroscopic endometrial polypectomy were assigned into the Eps group,and 2163 non-polyp patients were into the non-Eps group.Univariate analysis showed statistical differences were observed in age[31 (29,34)vs 31 (28,33),P=0.002],history of pelvic inflammatory disease (42.78％vs 64.17％,P=0.000),age at menarche[14 (12,14)vs 13 (12,14)years old,P=0.000],number of pregnancies[0 (0,1 )vs 1 (0,2),P=0.000],primary infertility (60.30％vs 50.20％,P=0.000),duration of infertility[4 (2.1,6.0)vs 4 (2.0,6.0)years,P=0.002],concomitant endometriosis (9.53％ vs 6.52％,P=0.032),concomitant uterine fibroids (11 .85％vs 6.93％,P=0.001 ),and basal estrogen level[38.12 (27.00,59.00)vs 36.00 (25.00,53.00)μg/L,P=0.016]between the 2 groups.Logistic stepwise regression analysis indicated that age (OR=1 .082,95％CI:1 .053～1 .113,P<0.05 ),primary infertility (OR=2.951,95％CI:1 .990～4.376,P<0.05),and elevated basal estrogen (OR=1 .003,95％CI:1 .001～1 .005,P<0.05)were risk factors for Eps.The postoperative biochemical pregnancy rate (59.28％vs 52.70％),clinical pregnancy rate (53.09％vs 45.48％),and live birth rate (43.81％vs 35.82％)were significantly higher in the matched Eps group than the non-Eps group (P<0.05 ).No statistical difference was observed in pregnancy outcome in the patients with different polyp locations and sizes.The patients with multiple polyps had an obvious higher rate of early miscarriage than those with single polyp (17.27％ vs 7.29％,P<0.05 ),while those with recurrent polyps also had a higher rate of early miscarriage than those with primary polyps (27.78％vs 11.23％,P<0.05).Conclusion Age,primary infertility,and elevated basal estrogen are risk factors for Eps in infertility patients,while hysteroscopic endometrial polypectomy prior to embryo transfer results in improved pregnancy outcomes in those with Eps.The location and size of endometrial polyps have weak impact on pregnancy outcomes following embryo transfer,but,the presence of multiple or recurrent polyps may elevate the risk of early miscarriage.