Objective: To investigate factors influencing perioperative blood transfusion in patients with scarred uterus during pregnancy undergoing cesarean section, construct and validate a transfusion risk prediction model, and provide evidence for preoperative assessment and blood management. Methods: Clinical data of 405 patients undergoing cesarean section for scarred uterus during pregnancy at the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to December 2024 were retrospectively collected. The dataset was randomly divided into a training set (n=284) and a validation set (n=121) at a 7∶3 ratio. Within the training set, Firth-penalized logistic regression was employed for multivariate analysis to identify independent factors influencing perioperative blood transfusion and construct a predictive model. Model performance was evaluated in the validation set. Results: Multivariate Firth regression analysis showed that severe placenta previa (OR=75.566, 95%CI: 8.603-9979.174) and placenta accreta (OR=4.591, 95%CI: 1.120-19.416) were independent risk factors for perioperative blood transfusion, while preoperative red blood cell count (OR=0.189, 95%CI: 0.083-0.405) and fibrinogen levels (OR=0.588, 95%CI: 0.395-0.855) were protective factors. The predictive model constructed based on these four variables demonstrated good discriminatory performance, with areas under the receiver operating characteristic curves of 0.803 (95%CI: 0.740-0.867) and 0.753 (95%CI: 0.644-0.862) in the training and validation sets, respectively. Conclusion: For patients with scarred uterus during pregnancy undergoing cesarean section, severe placenta previa and placenta accreta significantly increase the risk of transfusion, while higher preoperative red blood cell count and fibrinogen levels exert a protective effect. The predictive model established in this study facilitates the identification of patients requiring transfusion, thereby enabling preoperative blood preparation and optimized blood management.

ObjectiveTo observe the effect of Yangxin Tongmai Formula （养心通脉方） by midnight-noon ebb-flow administration method for rat models of premature coronary heart disease （PCHD） with blood stasis syndrome， and to explore the possible mechanism of action from the perspective of DNA methylation differential gene expression. MethodsThere were 3 SD rats in each of the blank group， model group and Yangxin Tongmai Formula group， and the rats in the model group and Yangxin Tongmai Formula group were fed with high-fat chow plus vitamin D3 by gavage plus isoproterenol hydrochloride by subcutaneous injection to construct rat models of PCHD with blood stasis syndrome. After successful modelling， rats in Yangxin Tongmai Formula group were gavaged with 18 g/（kg‧d） of Yangxin Tongmai Formula， and rats in blank group and the model group were gavaged with 4 ml/（kg‧d） of 0.9% NaCl solution， and serum samples of rats in each group were collected for DNA methylation sequencing after 3 weeks to screen for the relevant DNA methylation differentiation genes. In addition， rats with successful modelling of PCHD with blood stasis were randomly divided into model group， Yangxin Tongmai Formula with midnight-noon ebb-flow administration method group ［18 g/（kg‧d） of Yangxin Tongmai Formula was gavaged twice in the heart channel period （12：00） and pericardium channel period （20：00）］， the Yangxin Tongmai Formula control group ［18 g/（kg‧d） of Yangxin Tongmai Formula was gavaged twice at 8：00 and 18：00］ and the Atorvastatin Calcium group ［atorvastatin calcium tablets solution 1.8 mg/（kg‧d） at the same intervention time as that in Yangxin Tongmai Formula control group］， and set up a blank group of 8 rats in each group. The model group and blank group were gavaged with 0.9% NaCl solution 4 ml/（kg‧d） for the same time as the Yangxin Tongmai Formula control group. After 3 weeks of gavage， the blood lipids ［including total cholesterol （TC）， low-density lipoprotein （LDL）， high-density lipoprotein （HDL）］ levels of rats in each group were detected； the HE staining of myocardial tissues and thoracic aorta was used to observe the pathomorphological changes； the levels of serum inflammation indexes ［tumour necrosis factor alpha （TNF-alpha）， lipopolysaccharide （LPS）， and interleukin 10 （IL-10）］ were detected； immunoprecipitation-realtime fluorescence quantitative PCR was used to detect the relative expression of cardiac tissue screening differential genes. ResultsThe genes screened for differentially methylated regions were calmodulin 2 （Calm2）， calcium voltage-gated channel subunit α1s （Cacna1s）， and phospholipase Cβ1 （Plcb1）. Compared with the blank group， rats in the model group showed elevated levels of TC， LDL， TNF-α and LPS， and decreased levels of HDL and IL-10 （P＜0.05 or P＜0.01）； HE staining showed obvious swelling of myocardial fibres， accompanied by a large number of inflammatory cell infiltration， and thickening of the inner wall of the aortic vessels with internal wall damage， which was visible as a large number of lipid cholesterol crystals and obvious inflammatory cell infiltration. Compared with the model group， the TC， LDL， TNF-α and LPS contents of rats in the Yangxin Tongmai Formula with midnight-noon ebb-flow administration method group， the Yangxin Tongmai Formula control group， and the atorvastatin calcium group all reduced， and the contents of HDL and IL-10 all elevated （P＜0.05）， with the improvement of myocardial tissue damage and the reduction of inflammatory infiltration， and the improvement of the damage of the inner lining of the thoracic aorta and the reduction of lipid infiltration. Compared with Yangxin Tongmai Formula control group， LDL， TNF-α and LPS contents reduced， and IL-10 contents increased in the midnight-noon ebb-flow administration method group （P＜0.05）. Compared with the model group， the relative expression of Calm2 and Plcb1 genes decreased and the relative expression of Cacna1s gene increased in Yangxin Tongmai Formula control group and the midnight-noon ebb-flow administration method group （P＜0.05）； compared with the Yangxin Tongmai Formula control group， the relative expression of Calm2 gene decreased and the relative expression of Cacna1s gene increased in the midnight-noon ebb-flow administration method group （P＜0.05）. ConclusionThe intervention of Yangxin Tongmai Formula in the heart channel period （12：00） and pericardium channel period （20：00） was more effective in improving the blood lipid level， inhibiting inflammation， and improving myocardial tissue damage in rats of PCHD with blood stasis syndrome， and Calm2 and Cacna1s genes may be the key targets of Yangxin Tongmai Formula in intervening the blood stasis syndrome of PCHD.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To investigate the effects and molecular mechanisms of regenerating islet-derived 3-Alpha(REG3A)on the proliferation,apoptosis and cisplatin(DDP)resistance of ovarian cancer(OC)cells.Methods Cancer tissue and adjacent tissue samples of 97 ovarian cancer patients admitted to Qinghai Fifth People's Hospital from January 2021 to December 2022 were collected.Quantitative reverse transcriptase-mediated PCR(qRT-PCR)and immunohis to chemistry(IHC)were used to detect the expression of REG3A in cancer tissues and adjacent tissues,and the relationship between its expression and the clinical pathological characteristics and prognosis of patients was analyzed.QRT-PCR was used to detect the expression of REG3A in human normal ovarian epithelial cell line OSE and human OC cell lines(ES2,HEY,A2780,and SKOV3).SKOV3 and DDP resistant OC cell lines(SKOV3/DDP)were selected and randomly divided into siNC group and siREG3A group.Cell counting kit-8(CCK-8)was used to detect cell proliferation activity.Determination of cell drug resistance by methylthiazolyl tetrazolium(MTT).Flow cytometry was used to detect proliferation cycle and apoptosis.Immunoblotting was used to detect the expression of resistance,proliferation,apoptosis and phsphatidylinostol 3-kinase(PI3K)/protein kinase B(Akt)pathway related proteins in OC cells.Results The expression of REG3A mRNA in ovarian cancer tissues was higher than that in adjacent tissues(1.46±0.43 vs 0.52±0.11),and the difference was statistically significant(t=20.858,P<0.001).The 5-year survival rate of patients with high expression of REG3A was 24.49%(12/49),which was lower than the 91.67%(44/48)of patients with low expression of REG3A,and the difference was statistically significant(χ2=44.841,P<0.001).The proportion of patients with FIGO stages III-IV,moderate to high differentiation and tumor size>3cm in the high expression group of REG3A was higher than that in the low expression group of REG3A,and the differences were statistically significant(χ2=4.537～9.972,all P<0.05).Compared with OSE,the mRNA and protein expression of REG3A in ES2,HKY,A2780 and SKOV3 increased significantly(t=6.725～30.234,all P<0.01).Compared with the siNC group,the expression of REG3A was downregulated in SKOV3 cells in the siREG3A group(0.23±0.02 vs 0.99±0.06),cell activity decreased at 24,48 and 72 hours of transfection,the proportion of G1 phase cells increased,while the proportion of S and G2 phase cells and apoptosis rate,MDR-1,Cyclin D1 and Cleaved caspase 3 protein expression,p-PI3K/PI3K and p-Akt/Akt ratios were decreased,and the differences were statistically significant(t=6.584～22.730,all P<0.01).After treatment with DDP at concentrations of 1.25,2.5,5,7.5 and 15 μg/ml,compared with the siNC group,the survival rates of SKOV3 and SKOV3/DDP cells in the siREG3A group gradually decreased,and the differences were statistically significant(t=2.888～11.135,all P<0.05).Conclusion REG3A is highly expressed in OC tissues and is associated with malignant progression and poor prognosis of OC.Its up-regulation promotes cancer cell proliferation and DDP resistance by activating the PI3K/Akt pathway,and inhibits apoptosis.

As the incidence of diabetes in China continues to rise,its complications pose a serious threat to the life health of patients.New hypoglyce-mic agents are constantly emerging,with particular attention being paid to glucagon-like peptide-1 re-ceptor agonists(GLP-1RA)and sodium-glucose co-transporter 2 inhibitor(SGLT2i),which can not only effectively control blood glucose levels,but also sig-nificantly improve the cardiac and renal outcomes of diabetic patients.New technologies for diabetes management based on artificial intelligence(AI)are also developing rapidly,playing a crucial role in the diagnosis of diabetic retinopathy(DR)and insu-lin dose-assisted decision-making.Continuous glu-cose monitoring(CGM)and automated insulin de-livery system(AID)have already been used clinical-ly.This article reviews the progress in drug therapy and new technologies for type 2 diabetes mellitus T2DM,aiming to provide guidance for the treat-ment of T2DM patients.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

Objective:To explore the characteristics of potential categories of chronic disease co-morbid patients' learned helplessness, and to analyze the differential characteristics of different categories of chronic disease co-morbid patients.Methods:Convenience sampling method was used to select patients with chronic disease co-morbidities who attended The NO.1 People's Hospital of Xiangyang, Hubei University of Medicine, from June to December 2023 as survey respondents. General information questionnaire, Learned Helplessness Scale, Health Questionnaire Somatic Symptom Cluster Scale, Kessler Psychological Distress Scale, and Comprehension Social Support Scale were used for the cross-sectional survey. The potential profile of learned helplessness, and the influencing factors of potential categories of learned helplessness was analyzed.Results:A total of 810 patients with chronic co-morbidities were investigated. There were 453 males and 357 females, aged (65.03±10.89) years old. The learned helplessness of these patients was categorized into three different potential categories, which were named as low-level learned helplessness group, medium-level learned helplessness group, high-level learned helplessness, accounting for 17.5% (142/810), 23.5% (190/810), and 59.0% (478/810), respectively. Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe physical symptoms ( OR=1.456, 1.391, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe the psychological distress ( OR=1.359, 1.917, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with lower levels of social support ( OR=0.928, 0.874, both P<0.01). Compared with the low-level learned helplessness group, patients with a duration of illness >5 years were used as controls, patients with a duration of illness 2-5 years were more likely to belong to the medium-level learned helplessness group and high-level learned helplessness group ( OR=74.586, 62.620, both P<0.01). Compared with the low-level learned helplessness group, patients with neutral personalities were compared, patients with extroverted personalities had a lower probability of belonging to the medium-level learned helplessness group ( OR=0.105, P<0.05), while patients with introverted personalities had a lower probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group ( OR=0.052, 0.046, both P<0.01). Conclusions:Patients with chronic disease co-morbidities have higher levels of learned helplessness during disease treatment and have more distinctive categorical characteristics. Healthcare professionals should adopt targeted nursing interventions according to different categories of chronic disease co-morbid patients to reduce the level of learned helplessness.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the disease burden, clinical characteristics and independent risk factors affecting in-hospital outcomes of children with congenital heart disease (CHD) combined with heart failure (HF) in China.Methods:(1) Descriptive study: based on the global burden of disease study 2021, available data on children under 15 years of age with CHD and HF in China from 1990 to 2021 were collected. The prevalence and trends in different age subgroups (<1 year, 1-<2 years, 2-<5 years, 5-<10 years, 10-<15 years) were analyzed, and the annual percentage change (EAPC) was estimated using linear regression. (2) Retrospective cohort study: a total of 1 062 children with CHD and HF from a multicenter study on pediatric HF in China were included. The children were divided into two groups:<2 years group and 2-<18 years group. Data on demographics, clinical features, diagnosis, treatments, and in-hospital outcomes were analyzed. Mann-Whitney U test and chi-square test were used for group comparisons.Multivariable Logistic regression was applied to identify factors influencing outcomes (in-hospital mortality and adverse cardiovascular events). Results:(1) From 1990 to 2021, the number of children with CHD and HF in China increased from 333 000 (95% uncertainty interval ( UI) 271 000-405 000) to 368 000 (95% UI 296 000-459 000), a growth of 10.8% (95% UI 5.0%-16.6%). Concurrently the prevalence rate increased from 104.5 (95% UI 85.1-127.3) per 100 000 to 142.0 (95% UI 114.0-176.8) per 100 000, a growth of 35.9% (95% UI 28.7%-43.0%), with an EAPC of 1.5% (95% CI 1.2%-1.8%). Although the number of cases in the<1 year and 1-<2 years groups decreased by 41.0% and 25.6%, respectively, the prevalence in all age groups showed an upward trend:<1 year EAPC 0.6% (95% CI 0.5%-0.7%); 1-<2 years EAPC 0.9% (95% CI 0.8%-1.0%); 2-<5 years EAPC 1.2% (95% CI 1.0%-1.4%); 5-<10 years EAPC 1.5% (95% CI 1.2%-1.8%); 10-<15 years EAPC 2.1% (95% CI 1.9%-2.3%). (2) The multicenter study revealed that among 1 062 hospitalized children, 528 (49.7%) were male and 534 (50.3%) were female, with the age at admission of 5.4 (2.2,18.2) months. The majority of the children (77.9%, 827/1 062) were under 2 years of age, whereas 22.1% (235/1 062) were aged between 2-<18 years. Children with complex congenital heart defects accounted for the highest proportion (48.6%, 516/1 062), while those with isolated CHD made up 31.5% (335/1 062). Statistically significant differences were observed in several variables in demographics, clinical features, diagnosis, treatments, and outcomes between the two age groups (all P<0.05). The use of renin-angiotensin-aldosterone system inhibitors (41.1%, 436/1 062) and beta-blockers (8.7%, 92/1 062) was lower in hospitalized children with CHD and HF. Logistic regression identified complex CHD ( OR=7.73, 95% CI 2.24-26.63; OR=3.17, 95% CI 1.92-5.23), pulmonary hyperperfusion ( OR=2.15, 95% CI 1.01-4.18; OR=2.00, 95% CI 1.35-2.97), left ventricular ejection fraction<55% ( OR=2.13, 95% CI 1.08-4.21; OR=2.80, 95% CI 1.45-5.56), arterial oxygen partial pressure ( OR=0.99, 95% CI 0.98-0.99; OR=0.99, 95% CI 0.98-0.99), and serum calcium levels ( OR=0.31, 95% CI 0.17-0.58; OR=0.42, 95% CI 0.28-0.62) as independent risk factors for in-hospital mortality and cardiovascular events. Conclusions:The disease burden of CHD combined with HF in China has shown a continuous upward trend from 1990 to 2021, with higher growth rates in older age groups. Complex CHD, pulmonary hyperperfusion, left ventricular ejection fraction <55%, arterial oxygen partial pressure, and serum calcium concentration are independent risk factors for in-hospital mortality and cardiovascular events.

Objective:To investigate the relationship between epicardial adipose tissue (EAT) and frequent premature ventricular contractions (PVC) based on no-contrast chest CT scanning and evaluate the predictive value of EAT for high PVC loading levels.Methods:A case-control study was conducted to collect patients with PVC from January 2021 to June 2023 in the First Affiliated Hospital of Xinjiang Medical University. The study subjects were divided into a PVC high-load group (≥20%) and a PVC low-load group (<20%) based on the level of PVC loading in the 24-hour Holter electrocardiography monitoring. The parameter characteristics of EAT were obtained from no-contrast chest CT images. Multivariate logistic regression model analysis was used to assess the factors associated with high PVC loading levels, and the receiver operating characteristic (ROC) curve was used to assess the predictive value of the model.Results:A total of 166 subjects were included in the study, including 50 in the PVC high-load group and 116 in the PVC low-load group. Compared with the PVC low-load group, EATV was significantly increased in the high-load group ( Z=4.83, P<0.001), and EATA was significantly lower in the high-load group than in the low-load group ( t=-3.95, P<0.001). However, there was no statistically significant difference for the comparison of EATD ( Z=-1.56, P=0.120). Multivariate logistic regression model analysis showed that high EATV and low EATA were factors of high PVC loading levels [EATV: OR=1.01 (95% CI: 1.00-1.02), EATA: OR=1.16 (95% CI: 1.02-1.32)]. The area under the ROC curve for predicting high PVC loading levels by EATV and EATA was 0.79 (95% CI: 0.71-0.86). Conclusion:EATV and EATA are factors of high PVC loading levels and have predictive value for high PVC loading levels.