Objective: To explore the influencing factors of blood transfusion volume in obstetric patients based on the national health development strategy, and to provide evidence for clinical transfusion management and maternal and infant safety. Methods: A total of 1 203 obstetric patients who received blood transfusion in a tertiary hospital in Beijing from 2013 to 2023 were enrolled retrospectively. Seventeen indicators including age, body mass index (BMI), hemoglobin and prothrombin time were selected as research variables. Descriptive analysis was conducted firstly. Scatter plot matrix was used to analyze the correlation between continuous variables and transfusion volume, and box plots were used to analyze the relationship between categorical variables and transfusion volume. Linear regression, logistic regression and random forest models were established for empirical analysis, and ROC curves and AUC values were compared to evaluate model performance. Results: Descriptive analysis showed that the distribution of obstetric blood transfusion volume was right-skewed, and multiple indicators were significantly correlated with transfusion volume. Linear regression indicated that 9 variables such as age, BMI and hemoglobin had linear correlation with transfusion volume. Logistic regression confirmed that 7 variables including BMI and hemoglobin were statistically correlated with the probability of massive blood transfusion. Random forest model screened the core influencing factors, which were ranked by importance: hemoglobin, prothrombin time, hematocrit, BMI, activated partial thromboplastin time, platelet count and age. The AUC values of logistic regression and random forest were 0.78 and 0.81 respectively, and the latter had better predictive performance. Conclusion: Prenatal anemia, coagulation disorders, advanced age, obesity, gestational hypertension, placental abnormalities and organ damage can increase the risk of massive blood transfusion in obstetric patients. The random forest model has better analytical and predictive ability in this study. The results can provide reference for accurate blood transfusion and risk prediction in obstetrics.

[Objective] To evaluate the risk of bacterial contamination of platelets apheresis and improve the clinical diagnosis rate of transfusion-transmitted bacterial infections. [Methods] A retrospective analysis was conducted on 11 cases involving bacterial contamination detected in apheresis platelets during quality inspections at our center from 2021 to 2023, as well as cases of transfusion-transmitted bacterial infection (TTBI) caused by platelet transfusion. The return of positive platelet bacteria test results and clinical transfusion adverse reactions were statistically analyzed. [Results] There were 9 donors with bacteria-contaminated platelets, of which 3 were reported as clinical transfusion reaction, 4 were detected by quality sampling, and 2 were identified by appearance detection before transfusion. The bacterial contamination rate of platelets was about 0.08% (9/10 762). The contaminated platelets were involved in 11 cases of TTBI, with an incidence of TTBI of approximately 0.05% (11/21 916). Only 3 cases of transfusion reactions were clinically reported, while the rest were case tracking with positive results of platelet bacterial test from quality sampling. The clinical return rate of TTBI was 27.27% (3/11), with an average reporting time of 8.12 hours after the occurrence of transfusion reactions. The majority of the contaminated platelets were detected at the end stage of storage, with 55.56% (5/9) of platelets collected on the 4th day after collection. Partial contaminated platelets were identified through quality sampling, with a positive rate of 2.78% (4/144). [Conclusion] The platelet bacterial contamination rate is high, but with low clinical return rate. It is recommended to conduct routine platelet bacterial monitoring and improve clinical diagnostic level.

Objective To establish an ICU nursing shift handover index based on the standardised communication framework of ISBAR(Identity,Situation,Background,Assessment,and Recommendation)and create an intelligent nursing shift handover system(hereinafter referred as"Smart ICU-ISBAR Nursing Shift Handover System"),thereby improving the standardisation,efficiency and quality of ICU nursing shift handovers with a standardised tool for planning ICU nursing shift handovers.Methods Literature was searched to identify the core elements of ISBAR and the key contents of ICU nursing shift handovers,then a preliminary draft of ICU nursing shift handover index was proposed.Delphi expert-consensus technique(20 experts)was used to screen and finalise the core dimensions and specific indicators of the index system,which were then integrated into the Smart ICU-ISBAR Nursing Handover System.Finally,the clinical effectiveness of the system was evaluated.Results Both Delphi rounds achieved 100.00%response rate.The expert authority coefficient was 0.83.The Kendall's W values of 2 rounds were 0.127 and 0.166(all P<0.001)respectively.The index importance scores ranged from 4.25-4.95 and 3.90-5.00,with coefficients of variation of 0.05-0.19 and 0.00-0.22,respectively.The final version of Smart ICU-ISBAR nursing shift handover system comprised 6 primary indicators and 60 secondary indicators.Over the clinical trials,the system achieved a 96.67%success rate in data-upload with an average response time of 1.80 sec.,the mean documentation time of shift handover at(1.97±0.58)min per patient,12 nurses'satisfaction with the shift handover quality of(4.47±0.25)and the rating of the system's usability of(4.75±0.08).The system was highly practical,convenient and intelligent.Conclusion The ICU nursing shift handover index system developed on the basis of ISBAR theory features a structural integrity,standardisation and ICU-specific characteristics and it is objective,scientific and rigorous.The Smart ICU-ISBAR Nursing Shift Handover System standardises the shift handover process,reduces information omissions,and improves efficiency and quality of nursing shift handover process.It serves as a standardised shift handover tool for ICU nursing shifts.

Phase angle, as an indicator in bioelectrical impedance analysis, can reflect the integrity of cell membranes and the overall health status of cells. In the clinical management of breast cancer patients, the phase angle has a significant correlation with the nutritional status, muscle quality and prognosis of patients. In view of its unique role in these key aspects, phase angle is gradually becoming an effective tool to evaluate the postoperative recovery and treatment response of breast cancer patients. Although the application of phase angle is still in the initial exploration stage, and faces the challenges of lack of uniformity of measurement standards and complexity of clinical interpretation, its potential evaluation value in the field of breast cancer treatment is gaining increasing attention.

Objective To evaluate the methodological quality and measurement attribute quality of the evaluation tool for pediatric palliative care quality assessment tools,and to provide references for medical staff to select the best assessment tools.Methods The PubMed,Embase,Cochrane Library,Web of Science,CINAHL,Scopus,China National Knowledge Infrastructure(CNKI),Wanfang Database,VIP Database,Chinese Biomedical Literature Database,GIN,NGC,NICE,NRAO,medlive,WHO,AAHPM,WHPCA,APHN were searched from inception to March 28,2024.Data were screened and extracted independently by 2 researchers.The consensus-based standards for the selection of health measurement instruments(COSMIN)checklist and quality criteria were employed to evaluate the methodological quality and psychometric properties of the included pediatric palliative care quality assessment tools.Finally,recommendations were formulated based on these evaluations.Results A total of 13 articles were included,involving 9 pediatric palliative care quality assessment tools.Among them,the PICU-QODD,PaPEQu and QCPCI demonstrated good content validity and internal consistency,and are recommended as Grade A.The remaining assessment tools are recommended as Grade B or C.Conclusion The PICU-QODD,PaPEQu and QCPCI are recommended for use,but further validation of their psychometric properties is still needed.

Objective:To develop and validate the Pain nursing Competency Evaluation Questionnaire for Nursing Students to provide an effective tool for measuring the pain management competency of nursing students in China.Methods:The questionnaire was constructed through literature review, semi-structured interviews, focus group discussions, Delphi expert consultation, and a pre-survey. From September 2023 to January 2024, a convenience sampling method was used to select 250 nursing students from Hangzhou Normal University and Lishui University in Zhejiang Province for the survey. Reliability and validity of the developed questionnaire were tested. A random sample of 30 nursing students was selected for retesting after two weeks.Results:A total of 10 female experts were consulted through correspondence. The Pain Care Competency Evaluation Questionnaire for nursing students consists of 36 items. Through exploratory factor analysis, five common factors were extracted: pain health education, comprehensive pain assessment, pain screening and assessment, analgesic interventions, and analgesic side effects nursing, which together explained 61.695% of the variance. The content validity of the questionnaire was 0.96, and the item-level content validity index ranged from 0.900 to 1.000. The overall Cronbach′s α coefficient was 0.924, and the Cronbach′s α coefficients for the five dimensions ranged from 0.856 to 0.915. The test-retest reliability was 0.831. Conclusions:The Pain Care Competency Evaluation Questionnaire for nursing students developed in this study has good reliability and validity. It can be used as a tool to assess nursing students′ competency in pain care and provides a reference for the design and optimization of pain care courses and clinical practice programs for nursing students in undergraduate institutions.

Objective:To investigate the value of T helper 17 cells（Th17）/regulatory T cells（Treg）imbalance in the evaluation of intravenous immunoglobulin（IVIG）resistance in children with Kawasaki disease and Kobayashi score≤4.Methods:A total of 78 children with Kawasaki disease and Kobayashi score ≤ 4 admitted to Hunan Children's Hospital from January 2020 to December 2023 were prospectively selected as the study subjects，all of whom received IVIG treatment.In the acute phase，the proportion of Th17 cells and Treg cells was detected.Children were divided into IVIG sensitive group and IVIG resistance group based on their responsiveness to IVIG treatment.Baseline data of children with different IVIG treatment responsiveness，acute Th17 cell inflammatory factors [interleukin（IL）-17，IL-21，tumor necrosis factor-α（TNF-α）]，Treg cell inflammatory factors [IL-10，IL-35，transforming growth factor-β（TGF-β）] levels，and Th17/Treg values were compared.The correlation between Th17/Treg values and IVIG resistance in children with Kawasaki disease was analyzed using a restricted cubic spline model（RCS）.According to the threshold of correlation between Th17/Treg values obtained from RCS analysis and drug resistance in children，Th17/Treg was grouped，with a focus on analyzing the predictive value and clinical benefits of Th17/Treg values for IVIG resistance in children with Kawasaki disease.Results:Among the 78 children with Kawasaki disease，16 were resistant to IVIG treatment，accounting for 20.51%.The levels of C-reactive protein（CRP）,IL-17,and Th17/Treg in the acute phase of children in the IVIG resistance group were higher than those in the IVIG sensitive group，while the levels of IL-10 were lower than those in the IVIG sensitive group（ P<0.05）.RCS analysis showed that there was a non-linear dose-response relationship between IVIG resistance and acute Th17/Treg values in children with Kawasaki disease（ P<0.05）.When the acute Th17/Treg value was greater than 1.05，the risk of IVIG resistance in children with Kawasaki disease increased with the increase in indicator levels.The levels of CRP and IL-17 in the acute phase of children with Th17/Treg>1.05 were higher than those in the Th17/Treg < 1.05 group，while IL-10 levels were lower than those in the Th17/Treg<1.05 group.The proportion of children resistant to IVIG treatment was higher than that in the Th17/Treg<1.05 group（ P<0.05）.Multivariate Logistic regression analysis showed that CRP，IL-17，IL-10，and Th17/Treg were the influencing factors of IVIG resistance in children with Kawasaki disease（ P<0.05）.It was found through a nomogram that the C-index of the acute phase Th17/Treg values and their secretion of inflammatory factors in children with Kawasaki disease and Kobayashi score ≤ 4，as well as other major indicators，predicted the risk of IVIG resistance.The C-index was 0.975（95% CI 0.944-1.000），indicating good discrimination.When drawing the decision curve，it was found that compared to using each indicator separately，the Th17/Treg value and its secreted inflammatory factors in the acute phase assisted other major indicators in drawing the decision curve with a higher net benefit rate，with a maximum net benefit rate of 0.205. Conclusion:IVIG resistance in children with Kawasaki disease and Kobayashi score≤4 is related to Th17/Treg imbalance.When the Th17/Treg value in the acute phase of the disease is greater than 1.05，the risk of IVIG resistance is higher.The inflammatory factors IL-17 and IL-10 secreted by the two can assist other known indicators related to IVIG resistance in Kawasaki disease patients，improving the accuracy of predicting resistance risk.

Objective To establish an ICU nursing shift handover index based on the standardised communication framework of ISBAR(Identity,Situation,Background,Assessment,and Recommendation)and create an intelligent nursing shift handover system(hereinafter referred as"Smart ICU-ISBAR Nursing Shift Handover System"),thereby improving the standardisation,efficiency and quality of ICU nursing shift handovers with a standardised tool for planning ICU nursing shift handovers.Methods Literature was searched to identify the core elements of ISBAR and the key contents of ICU nursing shift handovers,then a preliminary draft of ICU nursing shift handover index was proposed.Delphi expert-consensus technique(20 experts)was used to screen and finalise the core dimensions and specific indicators of the index system,which were then integrated into the Smart ICU-ISBAR Nursing Handover System.Finally,the clinical effectiveness of the system was evaluated.Results Both Delphi rounds achieved 100.00%response rate.The expert authority coefficient was 0.83.The Kendall's W values of 2 rounds were 0.127 and 0.166(all P<0.001)respectively.The index importance scores ranged from 4.25-4.95 and 3.90-5.00,with coefficients of variation of 0.05-0.19 and 0.00-0.22,respectively.The final version of Smart ICU-ISBAR nursing shift handover system comprised 6 primary indicators and 60 secondary indicators.Over the clinical trials,the system achieved a 96.67%success rate in data-upload with an average response time of 1.80 sec.,the mean documentation time of shift handover at(1.97±0.58)min per patient,12 nurses'satisfaction with the shift handover quality of(4.47±0.25)and the rating of the system's usability of(4.75±0.08).The system was highly practical,convenient and intelligent.Conclusion The ICU nursing shift handover index system developed on the basis of ISBAR theory features a structural integrity,standardisation and ICU-specific characteristics and it is objective,scientific and rigorous.The Smart ICU-ISBAR Nursing Shift Handover System standardises the shift handover process,reduces information omissions,and improves efficiency and quality of nursing shift handover process.It serves as a standardised shift handover tool for ICU nursing shifts.

Objective To evaluate the methodological quality and measurement attribute quality of the evaluation tool for pediatric palliative care quality assessment tools,and to provide references for medical staff to select the best assessment tools.Methods The PubMed,Embase,Cochrane Library,Web of Science,CINAHL,Scopus,China National Knowledge Infrastructure(CNKI),Wanfang Database,VIP Database,Chinese Biomedical Literature Database,GIN,NGC,NICE,NRAO,medlive,WHO,AAHPM,WHPCA,APHN were searched from inception to March 28,2024.Data were screened and extracted independently by 2 researchers.The consensus-based standards for the selection of health measurement instruments(COSMIN)checklist and quality criteria were employed to evaluate the methodological quality and psychometric properties of the included pediatric palliative care quality assessment tools.Finally,recommendations were formulated based on these evaluations.Results A total of 13 articles were included,involving 9 pediatric palliative care quality assessment tools.Among them,the PICU-QODD,PaPEQu and QCPCI demonstrated good content validity and internal consistency,and are recommended as Grade A.The remaining assessment tools are recommended as Grade B or C.Conclusion The PICU-QODD,PaPEQu and QCPCI are recommended for use,but further validation of their psychometric properties is still needed.

Phase angle, as an indicator in bioelectrical impedance analysis, can reflect the integrity of cell membranes and the overall health status of cells. In the clinical management of breast cancer patients, the phase angle has a significant correlation with the nutritional status, muscle quality and prognosis of patients. In view of its unique role in these key aspects, phase angle is gradually becoming an effective tool to evaluate the postoperative recovery and treatment response of breast cancer patients. Although the application of phase angle is still in the initial exploration stage, and faces the challenges of lack of uniformity of measurement standards and complexity of clinical interpretation, its potential evaluation value in the field of breast cancer treatment is gaining increasing attention.