Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

Artificial vascular graft(AVG)fistula is widely used for hemodialysis treatment in patients with renal failure.However,it has poor elasticity and compliance,leading to stenosis and thrombosis.The ideal artificial blood vessel for dialysis should replicate the structure and components of a real artery,which is primarily maintained by collagen in the extracellular matrix(ECM)of arterial cells.Studies have revealed that in hepatitis B virus(HBV)-induced liver fibrosis,hepatic stellate cells(HSCs)become hyperactive and produce excessive ECM fibers.Furthermore,mechanical stimulation can encourage ECM secretion and remodeling of a fiber structure.Based on the above factors,we transfected HSCs with the hepatitis B viral X(HBX)gene for simulating the process of HBV infection.Subsequently,these HBX-HSCs were implanted into a polycaprolactone-polyurethane(PCL-PU)bilayer scaffold in which the inner layer is dense and the outer layer consists of pores,which was mechanically stimulated to promote the secretion of collagen nanofiber from the HBX-HSCs and to facilitate crosslinking with the scaffold.We obtained an ECM-PCL-PU composite bionic blood vessel that could act as access for dialysis after decellularization.Then,the vessel scaffold was implanted into a rabbit's neck arteriovenous fistula model.It exhibited strong tensile strength and smooth blood flow and formed autologous blood vessels in the rabbit's body.Our study demonstrates the use of human cells to create biomimetic dialysis blood vessels,providing a novel approach for creating clinical vascular access for dialysis.

Objective:To investigate the effects of orlistat on the viability of human gall-bladder cancer (GBC) cells.Methods:The experimental study was conducted. The human GBC NOZ cells with high expression of FSAN was screened out through in vitro cultivating human GBC-SD, SGC-996 and NOZ cells. The cell proliferation assay, clone formation assay and protein detection experiment were used to analysis of the effects of orlistat on the viability of human GBC cells. Cell grouping: NOZ cells cultured with medium were set as the control group, cultured with medium + 10 μmol/L orlistat were set as the low-dose orlistat group, cultured with medium + 100 μmol/L orlistat were set as the high-dose orlistat group, respectively. Observation indicators: (1) expression of FASN protein in human GBC cells; (2) effects of orlistat on the proliferation of human GBC NOZ cells; (3) effects of orlistat on apoptosis of human GBC NOZ cells. Measurement data with normal distribution were represented as Mean± SD, the ANOVA test was used for comparison between groups and the least significant difference method was used for pairwise comparison. Results:(1) Expression of FASN protein in human GBC cells. Results of western blot showed that the relative expression of FASN protein in human GBC NOZ, GBC-SD and SGC-996 cells was 0.57±0.06, 0.12±0.04 and 0.10±0.02, respectively, showing a significant difference among them ( F=115.67, P<0.05). There were significant differences between the NOZ cells and the GBC-SD or the SGC-996 cells ( P<0.05), and there was no significant difference between the GBC-SD cells and the SGC-996 cells ( P>0.05). (2) Effects of orlistat on the proliferation of human GBC NOZ cells. ① Results of cell proliferation assay showed that the absorbance value of NOZ cells was 2.34±0.12, 1.57±0.08 and 1.07±0.13 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a significant difference among them ( F=205.88, P<0.05). ② Results of clone formation assay showed that the number of NOZ cells clones was 257±23, 153±11 and 83±11 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a significant difference among them ( F=92.64, P<0.05). ③Results of western blot showed that the relative expression of Cyclin-D1 protein of NOZ cells was 2.31±0.10, 1.52±0.05 and 1.23±0.11 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a significant difference among them ( F=120.73, P<0.05). The relative expression of CDK-4 protein of NOZ cells was 1.58±0.04, 1.21±0.02 and 1.19±0.04 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a signifi-cant difference among them ( F=110.45, P<0.05). (3) Effects of orlistat on apoptosis of human GBC NOZ cells. Results of western blot showed that the relative expression of Bcl-2 protein of NOZ cells was 1.07±0.03, 0.36±0.03 and 0.15±0.02 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a significant difference among them ( F=1 242.93, P<0.05). The relative expression of Bax protein of NOZ cells was 0.51±0.03, 0.38±0.05 and 1.38±0.04 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a signifi-cant difference among them ( F=583.51, P<0.05). Conclusion:Orlistat can inhibit the growth of human GBC NOZ cells and promote their apoptosis.

Objective:To compare the efficacy of standardized incision and conventional incision for reduction and internal fixation of multiple rib fracture.Methods:A retrospective cohort study was conducted to analyze the clinical data of 192 patients with multiple rib fracture treated in 909th Hospital of Joint Logistics Support Force (Affiliated Dongnan Hospital of Xianmen University Medical College) from January 2020 to January 2022. There were 101 males and 91 females; aged 32-94 years [(51.5±16.6)years]. The patients underwent open reduction and internal fixation with nickel-titanium shape memory alloy embracer via standard incision such as anterior axillary longitudinal incision (standard incision group, n=96) or conventional incision such as posterolateral incision (conventional incision group, n=96). The incision length, operation time, intraoperative blood loss, number of fixed fractures, indwelling time of closed thoracic drainage tube, postoperative thoracic drainage volume, postoperative spontaneous ambulation time and length of hospital stay were compared in the two groups. The visual analogue scale (VAS) was used to evaluate pain at 1 month after operation. Postoperative complications were recorded. Results:All patients were followed up for 1-16 months [4.0(3.0, 10.5)months]. The operation time, intraoperative blood loss, indwelling time of closed thoracic drainage tube, postoperative thoracic drainage volume, postoperative spontaneous ambulation time, length of hospital stay and VAS at postoperative 1 month in standard incision group [(12.1±1.6)cm, (51.4±13.0)minutes, (191.5±16.8)ml, (2.8±0.6)days, (568.9±109.0)ml, (4.1±0.7)days, (11.4±1.7)days, (2.5±0.7)points] were better than those in conventional incision group [(13.7±1.9)cm, (62.0±8.8)minutes, (248.9±65.4)ml, (4.8±1.1)days, (655.9±121.9)ml, (5.2±0.9)days, (15.3± 1.7)days, (3.5±0.7)points] ( P<0.05 or 0.01). There was no statistical difference in the number of fixed fractures between standard incision group and conventional incision group (5.1±0.8 vs. 5.4±0.9) ( P>0.05). In standard incision group, there were 3 patients with poor wound healing, 5 with pulmonary infection, 3 with atelectasis and 3 with small pleural effusion. In conventional incision group, there were 11 patients with poor wound healing, 9 with pulmonary infection, 7 with atelectasis and 7 with small pleural effusion. The incidence of postoperative complications was 14.6% (14/96) in standard incision group and 35.4% (34/96) in conventional incision group ( P<0.01). Conclusion:For multiple rib fracture, standard incision is superior to conventional incision reduction in shortening the incision length, operation time, indwelling time of drainage tube, postoperative spontaneous ambulation time and length of hospital stay, reducing the intraoperative blood loss and postoperative thoracic drainage volume, alleviating the pain and reducing the postoperative complications.

Objective:To compare the clinical efficacy of extracorporeal membrane oxygenation (ECMO) and ventilation therapy in the treatment of severe blast lung injury.Methods:A retrospective cohort study was conducted to analyze the clinical data of 37 patients with severe blast lung injury admitted to 909th Hospital of Joint Logistics Support Force (Affiliated Dongnan Hospital of Xianmen University Medical College) from January 2000 to December 2021, including 23 males and 14 females; aged 26-50 years [(36.3±11.1)years]. The chest abbreviated injury score (AIS) was 3-5 points. In all, 16 patients were treated with ECMO from January 2017 to December 2021 (ECMO group) and 21 with ventilator from January 2000 to December 2016 (ventilator group). Blood gas analysis indexes [arterial pH, partial pressure of carbon dioxide (PaCO 2), partial pressure of oxygen (PaO 2), blood lactate (Lac)] and hemodynamics indexes [central venous pressure (CVP), cardiac output index (CI), pulmonary arterial systolic pressure (PASP), pulmonary capillary wedge pressure (PAWP)] were compared in the two groups at 30 minutes before treatment and at 2, 4, 6 hours after treatment. The mechanical ventilation time, ICU length of stay, acute physiology and chronic health evaluation II (APACHE II) score and mortality were measured at 7 days after treatment. Results:All patients were followed up for 24-48 months [(33.6±8.2)months]. The blood gas analysis and hemodynamic indexes were significantly improved in the two groups at 2, 4, 6 hours after treatment when compared with those at 30 minutes before treatment (all P<0.05), and the improvements were still statistically significant in ECMO group at 4, 6 hours after treatment when compared with those at 2 hours after treatment (all P<0.05), while not in ventilator group (all P>0.05). There was no significant difference in blood gas analysis indexes or hemodynamic indexes between the two groups at 30 minutes before treatment (all P>0.05). After treatment for 2, 4, 6 hours, blood gas analysis indexes and hemodynamic indexes in ECMO group were statistically different from those in ventilator group (all P<0.05). After treatment for 7 days, the mechanical ventilation time, ICU length of stay, APACHE II score and mortality were (3.2±1.2)days, (5.4±1.3)days, (14.1±3.3)points and 12.5% (2/16) in ECMO group, significantly different from (5.1±1.6)days, (7.6±1.6)days, (10.2±2.6)days and 28.6% (6/21) in ventilator group (all P<0.05). Conclusion:For severe blast lung injury, ECMO can attain rapid and continuous improvement of refractory hypoxemia and dyspnea, shorten the duration of mechanical ventilation and ICU length of stay and reduce the mortality rate when compared with ventilator therapy.

Abdomen/diagnostic imaging* ; Artificial Intelligence ; Body Composition ; Magnetic Resonance Imaging ; Practice Guidelines as Topic

The vagina contains at least a billion microbial cells,dominated by lactobacilli.Here we perform metagenomic shotgun sequencing on cervical and fecal samples from a cohort of 516 Chinese women of reproductive age,as well as cervical,fecal,and salivary samples from a second cohort of 632 women.Factors such as pregnancy history,delivery history,cesarean section,and breastfeeding were all more important than menstrual cycle in shaping the microbiome,and such information would be necessary before trying to interpret differences between vagino-cervical micro-biome data.Greater proportion of Bifidobacterium breve was seen with older age at sexual debut.The relative abundance of lactobacilli especially Lactobacillus crispatus was negatively associated with pregnancy history.Potential markers for lack of menstrual regularity,heavy flow,dysmenor-rhea,and contraceptives were also identified.Lactobacilli were rare during breastfeeding or post-menopause.Other features such as mood fluctuations and facial speckles could potentially be predicted from the vagino-cervical microbiome.Gut and salivary microbiomes,plasma vitamins,metals,amino acids,and hormones showed associations with the vagino-cervical microbiome.Our results offer an unprecedented glimpse into the microbiota of the female reproductive tract and call for international collaborations to better understand its long-term health impact other than in the settings of infection or pre-term birth.

Objective:To analyze the differences in ankle brachial index(ABI), central arterial pressure(CAP)and branchial-ankle pulse wave velocity(baPWV)in elderly patients with different degrees of coronary heart disease(CHD), and to provide a basis for the assessment of CHD.Methods:From January 2018 to July 2019, 52 elderly patients with CHD treated in our hospital were selected as the observation group, and divided into Observation Group A(mild, single-vessel disease), Observation Group B(double-vessel lesions)and Observation Group C(multivessel lesions or trunk lesions). Besides, 32 healthy people(the degree of coronary artery stenosis < 50%)were selected as the control group.ABI, CAP and baPWV were measured and compared.Results:Patients in the observation groups were associated with significantly lower ABI [(1.01±0.14) vs.(1.12±0.15), t=-3.403, P=0.001]and higher CAP [(63.9 ± 11.8)mmHg vs.(56.3 ± 10.5)mmHg, t=2.987, P=0.002]and baPWV [(1675.9±259.5)cm/s vs.(1517.2±283.4)cm/s, t=2.628, P=0.005]than those in the control group.For patients in Observation Groups A, B, C and the control group, the ABI values were (1.07±0.13, 0.95±0.14, 0.92±0.17 and 1.12±0.15, F=12.118, P=0.085), the baPWV values were (1685.2±276.8) cm/s, (1680.8±255.4) cm/s, (1667.4±232.6) cm/s and (1517.2±283.4) cm/s( F=0.573, P=0.573), and the CAP values were (62.7±12.3) mmHg, (64.2±11.5) mmHg, (69.1±10.6) mmHg and (56.3±11.8) mmHg, respectively( F=1.212, P=0.053). ABI levels in Observations Groups B and C were higher than those in the control group( t=3.938, P=0.000; t=-5.534, P=0.000). Additionally, levels of baPWV in Observation Group A was higher than in the control group( t=2.628, P=0.005), and CAP levels in Observation Groups A( t=2.349, P=0.011), B( t=2.293, P=0.013), C( t=3.697, P=0.000)were significantly higher than in the control group, though there was no significant difference between the observation groups( F=1.212, P=0.053). Conclusions:CAP and baPWV have the potential to be used as diagnostic parameters for elderly CHD patients, but their specificity for detecting the degree of coronary stenosis is poor.ABI is significantly different between patients with different degrees of CHD and can be used as a basis for evaluation of disease severity.

Objective:To analyze the medication rules of modern physicians on treating depression syndrome, so as to provide reference for clinical treatment of depression syndrome.Methods:We collect and sort out the modern medical records of depression syndrome in the cloud platform of ancient and modern medical records (v1.5) and the modern medical records' database of famous doctors, and search CNKI, Chongqing VIP and Wanfang databases for the modern depression medical cases from journals during database establishment time to October 1, 2018. We extracted traditional Chinese medicine prescription data in the medical records, and applied the ancient and modern medical records cloud platform (v 1.5) to standardize the acquired TCM data, and integrate data mining function for frequency statistics, cluster analysis, association analysis and complex network analysis to obtain the high frequency of drugs' attributes, classification, and common drug pairs and core prescriptions of modern doctors. Results:After screening, a total of 1 984 cases were included, 3 618 cases were diagnosed, and 3 089 pieces of data of TCM prescriptions were included. A total of 1 458 medicines were involved, and the total frequency of medication was 39 634. The high frequency medicines were: Bupleurum chinense (1 546 times), Poria cocos (1 210 times), Angelica sinensis (1 167 times), Paeonia lactiflora (1 109 times) and Tulip (1 091 times). The commonly used Chinese medicines were mainly warm, flat, bitter and bitter, mostly attributed to the four meridians of spleen, lung, liver and heart. Commonly used medicines were Radix Paeoniae Alba- Bupleurum, Radix Angelicae- Bupleurum, Radix Bupleurum- Tulip, Radix Angelicae- Paeoniae Alba, Radix Angelicae- Paeoniae Alba- Bupleurum, etc. The core prescriptions were Suanzaoren Decoction, Chaihu- Shugan San and Erchen Decoction. Conclusions:Modern physicians' treating principles for depression syndrome is soothing liver and regulating qi, invigorating spleen and nourishing heart, emphasizing qi and blood, harmonizing liver, spleen and heart, and linking TCM pathogeneses.

With the rapid development of science and technology, more creative methods have been applied to the inheritance mode of traditional Chinese medicine, such as studying the inheritance process of famous doctorsin an objective and rigorous way. The bottleneck of information transmission from famous doctors is to collect data, process data, apply algorithms, analyze and summarize data. The integration of artificial intelligence and big data deep learning algorithm knowledge mapping technology and other technical methods has brought technological innovation for the inheritance of famous doctors. With such development, the team of the research center of TCM grand health intelligence, Institute of Information on Chinese Medicine, China Academy of Chinese Medical Science, has carried out a series of professional application system research in the field of traditional Chinese medicine, centering on the planning and inheritance of famous doctors. We developed the ancient and modern medical case cloud platform, medical big data analysis platform, cloud medical APP, and famous doctor inheritance workstation. In such way, the problems were solved of low efficiency of medical case collection and the lack of objective data support and information barriers in the experience summary of famous doctors. The artificial intelligence techniques are to promote the inheritance of famous doctors' experience and improve the teaching ability and efficiency.