[Objective] To analyze the loss rate of platelet donors and evaluate the strategies for establishing a platelet donor bank. [Methods] A total of 1 443 donors who joined the HLA and HPA gene donor bank for platelets in Henan Province from 2018 to 2020 were included in this study. Data on the total number of apheresis platelet donations, annual donation frequency, age at enrollment, donation habits (including the number of platelets donated per session and whether they had previously donated whole blood), and enrollment location were collected from the platelet donor information management system. Donor loss was determined based on the date of their last donation. The loss rates of different groups under various conditions were compared to assess the enrollment strategies. [Results] By the time the platelet bank was officially operational in 2022, 421 donors had been lost, resulting in an loss rate of 29% (421/1 443). By the end of 2023, the overall cumulative loss rate reached 52% (746/1 443). The loss rate was lower than the overall level in groups meeting any of the following conditions: total apheresis platelet donations exceeding 50, annual donation frequency of 10 or more, age at enrollment of 40 years or older, donation of more than a single therapeutic dose per session, or a history of whole blood donation two or more times. Additionally, loss rates varied across different enrollment locations, with higher enrollment numbers generally associated with higher loss rates. [Conclusion] Through a comprehensive analysis of donor loss, our center has adjusted its strategies for establishing the donor pool. These findings also provide valuable insights for other blood collection and supply institutions in building platelet donor banks.

The prevalence of heart failure (HF) is increasing in many regions of the world, particularly within the context of aging populations in many countries. The Heart Failure Society of America (HFSA) sought to explore areas of global HF innovation with the goal of exchanging ideas and best practices internationally. The HFSA Annual Scientific Meeting included roundtable discussions focused on the challenges faced by each of the participating regions and sharing innovative solutions. Themes identified include the lack of high-quality region-specific HF registry data that is required to accurately define patient needs and to facilitate outcome metrics; the tension between providing care that is accessible to the patient vs. concentrating highly-specialized care within tertiary centers; the need to accredit and coordinate HF care across a spectrum of healthcare delivery centers within regions; opportunities to improve the prevention and timely diagnosis of HF to enhance population outcomes, especially in communities facing healthcare disparities; and the evolution of multidisciplinary team-based care, particularly in optimizing access to guideline-directed medical therapies. This article summarizes the major themes that emerged during the roundtable sessions.

Objective:To evaluate the efficacy of 6% hydroxyethyl starch (HES) 130/0.4 electrolyte solution for fluid therapy in the patients undergoing meningioma resection.Methods:Ninety-two American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ patients of either sex, aged 18-64 yr, with body mass index of 18-30 kg/m 2, with expected operation duration>3 h, undergoing elective meningioma resection, were divided into 2 groups ( n=46 each) using a random number table method: lactated Ringer′s solution (LR) group and HES group. LR was infused throughout operation in group LR, and 6% HES was intravenously infused in group HES, with the maximum dose not exceeding 50 ml/kg, and the excess part was supplemented with LR. Goal-directed fluid therapy was used to maintain stroke volume variation<13% and mean arterial pressure 70-90 mmHg. Arterial blood gas analysis was performed immediately before anesthesia induction (T 0), when 1 000 and 2 000 ml of fluid were infused (T 1, 2), and at the end of surgery (T 3) to record electrolyte and acid-base balance indexes. Thromboelastogram was simultaneously monitored. The occurrence of electrolyte disorder, acid-base imbalance and abnormal coagulation function and consumption of norepinephrine were recorded. Patients were followed up at 3 and 7 days after surgery, and the Chinese quality of recovery-15 scores were recorded. The hospitalization time and occurrence of brain edema, pulmonary edema, nausea and vomiting were recorded. Results:In group L and group H, 4 cases and 6 cases were excluded due to prolonged operation time, and 42 cases and 40 cases were finally included, respectively. Compared with LR group, the plasma Na + concentration was significantly increased at T 3, the plasma Cl - concentration and pH value were increased at T 1-3, the plasma Ca 2+ concentration was decreased at T 2, 3, reaction time was increased at T 3, coagulation time was increased and maximum amplitude was decreasedat T 2, 3, and coagulation Angle was decreased at T 1-3( P<0.05). No electrolyte disorder and abnormal coagulation function was found in the two groups. There was no statistically significant difference in the consumption of norepinephrine, postoperative Chinese quality of recovery-15 score, length of hospital stay and incidence of alkalosis, pulmonary edema, brain edema, and nausea and vomiting between the two groups ( P>0.05). Conclusions:The efficacy of liquid therapy is comparable between HES and LR in the patients undergoing meningioma resection.

The anti-inflammatory efficacy of Callicarpa nudiflora extract were evaluated upon lipopolysaccharide (LPS)-induced infective inflammation in rats. Pathological changes of lung and colon tissues observed with hematoxylin-eosin (H&E) staining, together with inflammatory factors in serum, including nitric oxide (NO), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α), were applied to assess the mitigating effects of C. nudiflora water extract on model rats. The experimental protocol strictly adhered to the guidelines of the Ethics Committee of Animal Research of Guangdong Pharmaceutical University (Approval: gdpulac2022132). Quality markers with anti-inflammatory activities were recognized by network pharmacology analysis. Subsequently, a reliable method for simultaneously quantifying six components was established. As a result, the pathological injury on lung and colon tissues of model rats induced by LPS were improved by C. nudiflora water extract. Compared with model group, C. nudiflora extract had decreased the release of proinflammatory factors in serum, including TNF-α and IL-6, and reduced the NO (P < 0.01). Network pharmacological analysis obtained 83 chemical components, 466 component targets, 584 disease targets and 129 action targets, which were mainly concentrated in 624 biological processes such as inflammatory response and positive regulation of nitric oxide biosynthesis, as well as 162 pathways such as phosphatidylinositol-3-hydroxykinase-protein kinase (PI3K-Akt) signal pathway and Janus kinase-signal transducer and activator of transcription 3 (JAK-STAT3) signal pathway. Upon analyzing their specificity, effectiveness, detectability, and quantity transfer rule from herb to extract, 6-hydroxyluteolin 7-glucoside, cynaroside, caffeic acid, acteoside, isoacteoside, and forsythoaside B were identified as the quality markers. Their anti-inflammatory activities were verified with LPS-induced inflammation model of RAW264.7 cells. Then contents of these 6 quality markers in 16 batches of C. nudiflora were determined. Thereby, the anti-inflammatory efficacy of C. nudiflora extract were confirmed in vivo, 6-hydroxyluteolin 7-glucoside, cynaroside, caffeic acid, acteoside, isoacteoside, and forsythoaside B were identified as anti-inflammatory ingredients, which can be used as quality control indicators for the herb and related formulation.

The 2-(2-phenylethyl)chromones were separated from agarwood of Aquilaria agallocha Roxb. and their anti-KRAS mutant non-small cell lung cancer (NSCLC) activities were evaluated. 2-(2-Phenyethyl)chromones in agarwood were separated and purified by silica gel, RP-18 reverse phase silica gel, MCI gel CH20P, Diol, and semi preparative HPLC chromatography techniques, while the structures of the compounds were identified by extensive spectroscopic analysis, such as 1D and 2D NMR and ESI-MS. The cell counting kit 8 (CCK-8) assay was used to screen the anti-tumor activity of the isolated monomeric compounds on three KRAS-mutant NSCLC cells. The cell proliferation, cloning formation, adhesion ability, and cell cycle arrest activity of compound 8 were analyzed. Molecular docking and Western blot experiments were used to study the mechanism of compound 8. The in vivo anti-tumor activity of the compound 8 was evaluated by zebrafish cell derived xenograft (CDX) model. Nineteen known 2-(2-phenylethyl)chromones were isolated from the ethyl acetate extract of agarwood. On A549 (KRAS G12S) cells, compounds 8, 10, and 19 showed good inhibitory activity, on H23 (KRAS G12C) cells, compounds 7, 8, and 19 showed good inhibitory activity, and on H358 (KRAS G12C) cells, compounds 8, 10, and 16 showed good inhibitory activity. Compound 8 had the best inhibitory activity in all three cell lines. It effectively inhibited cell proliferation, clone formation, adhesion ability, and arrested the H23 cell cycle at G2/M phase. Compound 8 could also inhibit the expression of c-Met and its downstream signaling pathways, effectively inhibiting tumor growth in zebrafish CDX model. In conclusion, among the nineteen known 2-(2-phenylethyl)chromones, compound 8 had the best activity and significantly inhibited the proliferation of KRAS-mutant NSCLC cells by arresting the cells in the G2/M phase.

Objective To measure the distance between the lateral compression Ⅱ(LC-Ⅱ)screw guide needle and the surrounding important structures around the anterior inferior iliac spine in pelvic fractures and to locate the needle point,so as to provide anatomical reference for clinical nail placement.Methods Totally 40 adult gross specimens of embalming were implanted with LC-Ⅱ screw guide needle under the surveillance of C-arm machine,and the specimens were dissected.The shortest distance between the insertion point and the lateral femoral cutaneous nerve,femoral nerve,femoral artery,femoral vein,anterior superior iliac spine and inguinal ligament was measured.The triangle was constructed between the insertion point,anterior superior iliac spine and inguinal ligament,and the exact location of the entry point was calculated.Results The average distance between the insertion point of the male needle and the femoral vein was(50.67±7.29)mm＞the anterior superior iliac spine(43.83±7.58)mm＞the femoral artery(38.35±6.63)mm＞the femoral nerve(31.17±1.67)mm=the inguinal ligament(28.69±6.59)mm＞the lateral femoral cutaneous nerve(7.98±3.81)mm.The mean distance between the insertion point of the female needle and the anterior superior iliac spine was(45.28±7.07)mm=femoral vein(43.72±6.89)mm＞femoral artery(33.76±6.33)mm＞femoral nerve(25.66±6.46)mm=inguinal ligament(23.22±5.00)mm＞lateral femoral cutaneous nerve(8.97±4.76)mm.The projection distance of the entry point was 31.77 mm for men and 38.41 mm for women.The Angle b was 42.81°for men and 31.71° for women.Conclusion The lateral femoral cutaneous nerve is most vulnerable to injury when LC-Ⅱ screw is inserted,and the risk of injury has nothing to do with sex.The insertion point positioning method a and b made LC-Ⅱ screw placement quickly,safely and accurately,and reduced fluoroscopy time and frequency.

Objective:To construct a risk prediction model for the inter-hospital transfer of critically ill children using machine learning methods, identify key medical features affecting transfer outcomes, and improve the success rate of transfers.Methods:A prospective study was conducted on critically ill children admitted to the pediatric transfer center of Hunan Children's Hospital from January 2020 to January 2021. Medical data on critical care features and relevant data from the Pediatric Risk of Mortality (PRISMⅢ) scoring system were collected and processed. Three machine learning models, including logistic regression, decision tree, and Relief algorithm, were used to construct the risk prediction model. A back propagation neural network was employed to build a referral outcome prediction model to verify and analyze the selected medical features from the risk prediction model, exploring the key medical features influencing inter-hospital transfer risk.Results:Among the 549 transferred children included in the study, 222 were neonates (40.44%) and 327 were non-neonates (59.56%). There were 50 children in-hospital deaths, resulting in a mortality rate of 9.11%. After processing 151 critical care medical feature data points, each model selected the top 15 important features influencing transfer outcomes, with a total of 34 selected features. The decision tree model had an overlap of 72.7% with PRISMⅢ indicators, higher than logistic regression (36.4%) and Relief algorithm (27.3%). The training prediction accuracy of the decision tree model was 0.94, higher than the accuracy of 0.90 when including all features, indicating its clinical utility. Among the top 15 important features selected by the decision tree model, the impact on transfer outcomes was ranked as follows based on quantitative feature violin plots: base excess, total bilirubin, ionized calcium, total time, arterial oxygen pressure, blood parameters (including white blood cells, platelets, prothrombin time/activated partial thromboplastin time), carbon dioxide pressure, blood glucose, systolic blood pressure, heart rate, organ failure, lactate, capillary refill time, temperature, and cyanosis. Eight of these important features overlapped with PRISMⅢ indicators, including systolic blood pressure, heart rate, temperature, pupillary reflex, consciousness, acidosis, arterial oxygen pressure, carbon dioxide pressure, blood parameters, and blood glucose. The decision tree was used to select the top 15 medical features with high impact on the neonatal and non-neonatal datasets, respectively. A total of 19 features were selected, among which there were 8 differences and 11 overlap terms between the important features of the neonatal and non-neonatal.Conclusions:Machine learning models could serve as reliable tools for predicting the risk of inter-hospital transfer of critically ill children. The decision tree model exhibits superior performance and helps identify key medical features affecting inter-hospital transfer risk, thereby improving the success rate of inter-hospital transfers for critically ill children.

Purpose To investigate the expression of FUT8-AS1 gene in epithelial ovarian cancer(EOC)tissues and cell lines and its relationship with clinical pathology and progno-sis,to investigate the effect of FUT8-AS on proliferation,inva-sion and EMT of epithelial ovarian cancer cell line and its possi-ble mechanism.Methods Based on GEPIA2 and Kaplan-Meier Plotter database,the expression of FUT8-AS1 in epithelial ovarian cancer and its effect on survival of patients with ovarian cancer were analyzed,the expression levels of FUT8-AS1 miR-142-5p,BCL2,and EMT marker genes were detected by qRT-PCR,CCK-8 and Transwell assays were used to detect the effect of abnormal expression of FUT8-AS1 gene on proliferation and invasion of CAOV3 cells.The interaction between FUT8-AS1 and miR-142-5p was verified by Dual-luciferase reporter assay sys-tem.Results Using GEPIA2 and Kaplan-Meier Plotter data-bases,it was found that the expression of FUT8-AS1 in epitheli-al ovarian cancer tumor tissue was significantly higher than that in normal tissue(P＜0.05),and the overall survival rate of the high expression group of FUT8-AS1 was significantly lower than that of the low expression group of FUT8-AS1(P＜0.01).The expression of FUT8-AS1 gene in 74 cases of epithelial ovarian cancer tissue was significantly higher than that of normal tissue[(2.547±1.370)vs(1.330±0.831),P＜0.01],and was associated with greater omentum metastasis,lymph node metas-tasis,FIGO staging,and survival(P＜0.01).Knocking down the FUT8-AS1 gene can inhibit the in vitro proliferation and in-vasion ability of epithelial ovarian cancer cell line CAOV3(P＜0.01 or P＜0.05).The results of dual luciferase reporter gene detection showed that co transfection with miR-142-5p mimics and FUT8-AS1-WT plasmids significantly reduced the luciferase activity of CAOV3 cells(P＜0.05).Transfection with miR-142-5p mimics could offset the downregulation of BCL2 gene ex-pression caused by knocking down FUT8-AS1 in CAOV3 cells(P＜0.05).Conclusion The FUT8-AS1 gene is highly ex-pressed in EOC and leads to poor prognosis.Knocking down the FUT8-AS1 gene can inhibit the in vitro proliferation,invasion,and EMT of CAOV3 cells.Mechanistically,the FUT8-AS1 gene may promote the progression of EOC by targeting the miR-142-5p/BCL2 molecular axis.

Objective:To study the reliability modeling method of rehabilitation diagnosis and treatment equipment based on non-homogeneous Poisson process,and to improve the reliability analysis effect of rehabilitation diagnosis and treatment equipment.Methods:Statistics and analysis of the total running time of rehabilitation diagnosis and treatment equipment in a specific period of time were performed,and the trend test of its operation data was conducted.The bathtub curve was used as the trend of rehabilitation diagnosis and treatment equipment failure,under the condition of bathtub curve change trend,a reliability model of non-homogeneous Poisson process of rehabilitation diagnosis and treatment equipment was established.The least squares estimation method was used to estimate the non-homogeneous Poisson process reliability model parameters of rehabilitation diagnosis and treatment equipment,determine the reliability index of rehabilitation diagnosis and treatment equipment,and complete the reliability modeling of rehabilitation diagnosis and treatment equipment.A total of 17 rehabilitation diagnosis and treatment equipment in clinical use in the Second Medical Center of PLA General Hospital from April to October 2022 were selected,including 6 pulse short-wave therapy instruments,5 interference electrical therapy instruments,3 swallowing disorder treatment instruments,and 3 air wave pressure therapy instruments.In July 2022,the reliability modeling method of rehabilitation diagnosis and treatment equipment based on non-homogeneous Poisson process was applied to the management of rehabilitation diagnosis and treatment equipment.The failure rate of rehabilitation diagnosis and treatment equipment before and after the application of the reliability modeling method based on non-homogeneous Poisson process was compared.Results:The average failure rate of 17 rehabilitation diagnosis and treatment equipment was 64.71%(11/17)before application and decreased to 23.53%(4/17)after application,of which the failure rate of 6 pulse shortwave therapy devices decreased from 66.7%(4/6)before application to 16.7%(1/6),the failure rate of 5 interference electrotherapy devices decreased from 60.0%(3/5)before application to 20.0%(1/5),and the failure rate of 3 dysphagia treatment instruments decreased from 66.7%(2/3)to 33.3%before application(1/3),the failure rate of the 3 air wave pressure therapy devices decreased from 66.7%(2/3)before application to 33.3%(1/3).Conclusion:The reliability modeling method for rehabilitation diagnosis and treatment equipment based on non-homogeneous Poisson process can accurately calculate the failure intensity function and cumulative failure intensity function of rehabilitation diagnosis and treatment equipment,reduce the failure rate of rehabilitation diagnosis and treatment equipment,and improve the quality of use of rehabilitation diagnosis and treatment equipment.

Objective:To construct a medical equipment management system based on improved evidence theory,and to analyze its application effect in the equipment management of geriatric gastroenterology department in hospitals.Methods:With the help of improved evidence theory,the risk of medical equipment management in geriatric gastroenterology department was identified,dynamic weights and static weights were introduced,and a medical equipment management system based on improved evidence theory was constructed by combining the game idea with the portfolio empowerment approach.A total of 60 medical devices in clinical use in the department of geriatric gastroentero1ogy of Xi'an No.1 Hospital from 2021 to 2023 were selected,and the medical devices used from 2021 to 2022 were managed by conventional methods,and the medical devices used from 2022 to 2023 were managed by using the improved evidence theory(improved evidence theory management).The equipment management quality,equipment data integrity score and comprehensive assessment score of equipment management team were compared between the two management methods.Results:The average failure rate and scrap rate of equipment managed by the improved evidence theory method were(12.36±3.65)％and(2.65±0.54)％,respectively,which were lower than those of the conventional management method(t=9.897,15.877,P＜0.05),the average self-maintenance rate and upgrade rate of faults were(90.69±6.25)％and(91.25±5.25)％,respectively,which were higher than those of the conventional management method,the difference was statistically significant(t=13.191,14.828,P＜0.05).The average scores of equipment data management,diagnosis and treatment data analysis and clinical application data integrity using the improved evidence theory method were(92.36±2.36)points,(93.69±2.36)points and(94.39±3.26)points,respectively,which were higher than those of the conventional management method,the difference was statistically significant(t=13.044,13.893,15.036,P＜0.05).The average comprehensive assessment scores of technical support team,technical development team,technical practice team and auxiliary management team members adopting the improved evidence theory method were(91.36±3.26)points,(94.26±3.59)points,(95.36±4.36)points and(96.36±3.26)points,respectively,which were higher than those of the conventional management method,the difference was statistically significant(t=8.224,14.796,14.129,19.005,P＜0.05).Conclusion:The medical equipment management system based on the improved evidence theory can evaluate the risks in the application of equipment,improve the quality of equipment management,enhance the level of equipment management team,and provide decision-making assistance for the equipment management in geriatric gastroenterology department.