Objective:To explore the distribution of cardiovascular disease(CVD)and cardiovascular risk fac-tors(CVRF)in patients with epithelial ovarian cancer before treatment and their correlation with the histological type,stage and grade of ovarian cancer.Methods:A total of 401 newly diagnosed epithelial ovarian cancer pa-tients admitted to The First Affiliated Hospital of Dalian Medical University from January 1,2015 to December 31,2022 were enrolled.Analyze the distribution of CVD(including hypertension,coronary heart disease,stroke,etc.)and CVRF(including diabetes,dyslipidemia,high level of uric acid)in epithelial ovarian cancer patients.Univari-ate analysis and multivariate Logistic regression were performed on the association between CVD,CVRF and the histological type,grade and stage of epithelial ovarian cancer.Results:①Among 401 epithelial ovarian cancer pa-tients,43.6％had at least one CVD before therapy.The most common CVD was hypertension(41.1％),and the most common CVRF was dyslipidemia(57.9％).②Multivariate Logistic regression analysis showed that age ≥60 years was an independent risk factor for serous,high-grade,and advanced epithelial ovarian cancer(OR＞1,P＜0.05).Dyslipidemia was an independent risk factor for high-grade and advanced epithelial ovarian cancer(OR＞1,P＜0.05).High level of uric acid was an independent risk factor for advanced epithelial ovarian cancer(OR＞1,P＜0.05).③The proportion of high-density lipoprotein cholesterol(HDL-C)and lipoprotein A[Lp(A)]abnor-malities in patients with advanced epithelial ovarian cancer was significantly higher than in those with early stage epithelial ovarian cancer(P＜0.05),and the proportion of number of abnormal lipid components was higher in pa-tients with high grade and advanced epithelial ovarian cancer than in patients with low grade and early stage epi-thelial ovarian cancer,respectively(P＜0.05).Conclusions:Patients with epithelial ovarian cancer bear a signifi-cant burden of CVD and CVRF.Hypertension is the most common CVD,and dyslipidemia is the most common CVRF.Dyslipidemia was associated with epithelial ovarian cancer grade and stage.High level of uric acid was as-sociated with epithelial ovarian cancer stage.Active control of blood pressure and blood lipid levels is very impor-tant for epithelial ovarian cancer patients.

Objective:To construct risk prediction models for enteral nutrition intolerance in patients with sepsis based on machine learning, and conduct internal validation to evaluate the predictive performance of the model.Methods:Convenience sampling was used to select 320 sepsis patients admitted to the Intensive Care Unit of the Affiliated Hospital of Hangzhou Normal University from June 2022 to June 2024 for the study. Patients were randomly divided into a training set ( n=240) and a validation set ( n=80) in a 3∶1 ratio. Univariate analysis of variance and Binary Logistic regression analysis were used to explore the factors influencing enteral nutrition intolerance in patients with sepsis. Four machine learning algorithms, namely, categorical boosting (CatBoost), extreme gradient boosting (XGBoost), support vector machine (SVM), and random forest (RF), were used to construct the risk prediction models. The performance of the prediction models was assessed through cross-validation, and the optimal risk prediction model was selected based on the area under the receiver operating characteristic curve, accuracy, sensitivity, specificity, recall, precision, and F1 value, and the model was validated in validation set. Results:Of the 320 patients with sepsis, enteral nutrition intolerance occurred in 131 patients, with an incidence of 40.94%. Age, body mass index, Acute Physiology and Chronic Health EvaluationⅡ scores, mode of enteral nutrition infusion, time of enteral nutrition initiation, albumin, and intra-abdominal pressure were influencing factors for enteral nutrition intolerance in patients with sepsis. Among the four risk prediction models, CatBoost, XGBoost, SVM, and RF, the RF model showed the best performance.Conclusions:In this study, we construct risk prediction models for enteral nutrition intolerance in sepsis patients based on four machine learning algorithms, among which the overall performance of the RF model is superior, which is helpful for healthcare professionals to accurately identify the risk of enteral nutrition intolerance in sepsis patients and formulate interventions at an early stage.

Objective:To explore the distribution of cardiovascular disease(CVD)and cardiovascular risk fac-tors(CVRF)in patients with epithelial ovarian cancer before treatment and their correlation with the histological type,stage and grade of ovarian cancer.Methods:A total of 401 newly diagnosed epithelial ovarian cancer pa-tients admitted to The First Affiliated Hospital of Dalian Medical University from January 1,2015 to December 31,2022 were enrolled.Analyze the distribution of CVD(including hypertension,coronary heart disease,stroke,etc.)and CVRF(including diabetes,dyslipidemia,high level of uric acid)in epithelial ovarian cancer patients.Univari-ate analysis and multivariate Logistic regression were performed on the association between CVD,CVRF and the histological type,grade and stage of epithelial ovarian cancer.Results:①Among 401 epithelial ovarian cancer pa-tients,43.6％had at least one CVD before therapy.The most common CVD was hypertension(41.1％),and the most common CVRF was dyslipidemia(57.9％).②Multivariate Logistic regression analysis showed that age ≥60 years was an independent risk factor for serous,high-grade,and advanced epithelial ovarian cancer(OR＞1,P＜0.05).Dyslipidemia was an independent risk factor for high-grade and advanced epithelial ovarian cancer(OR＞1,P＜0.05).High level of uric acid was an independent risk factor for advanced epithelial ovarian cancer(OR＞1,P＜0.05).③The proportion of high-density lipoprotein cholesterol(HDL-C)and lipoprotein A[Lp(A)]abnor-malities in patients with advanced epithelial ovarian cancer was significantly higher than in those with early stage epithelial ovarian cancer(P＜0.05),and the proportion of number of abnormal lipid components was higher in pa-tients with high grade and advanced epithelial ovarian cancer than in patients with low grade and early stage epi-thelial ovarian cancer,respectively(P＜0.05).Conclusions:Patients with epithelial ovarian cancer bear a signifi-cant burden of CVD and CVRF.Hypertension is the most common CVD,and dyslipidemia is the most common CVRF.Dyslipidemia was associated with epithelial ovarian cancer grade and stage.High level of uric acid was as-sociated with epithelial ovarian cancer stage.Active control of blood pressure and blood lipid levels is very impor-tant for epithelial ovarian cancer patients.

Objective:To construct risk prediction models for enteral nutrition intolerance in patients with sepsis based on machine learning, and conduct internal validation to evaluate the predictive performance of the model.Methods:Convenience sampling was used to select 320 sepsis patients admitted to the Intensive Care Unit of the Affiliated Hospital of Hangzhou Normal University from June 2022 to June 2024 for the study. Patients were randomly divided into a training set ( n=240) and a validation set ( n=80) in a 3∶1 ratio. Univariate analysis of variance and Binary Logistic regression analysis were used to explore the factors influencing enteral nutrition intolerance in patients with sepsis. Four machine learning algorithms, namely, categorical boosting (CatBoost), extreme gradient boosting (XGBoost), support vector machine (SVM), and random forest (RF), were used to construct the risk prediction models. The performance of the prediction models was assessed through cross-validation, and the optimal risk prediction model was selected based on the area under the receiver operating characteristic curve, accuracy, sensitivity, specificity, recall, precision, and F1 value, and the model was validated in validation set. Results:Of the 320 patients with sepsis, enteral nutrition intolerance occurred in 131 patients, with an incidence of 40.94%. Age, body mass index, Acute Physiology and Chronic Health EvaluationⅡ scores, mode of enteral nutrition infusion, time of enteral nutrition initiation, albumin, and intra-abdominal pressure were influencing factors for enteral nutrition intolerance in patients with sepsis. Among the four risk prediction models, CatBoost, XGBoost, SVM, and RF, the RF model showed the best performance.Conclusions:In this study, we construct risk prediction models for enteral nutrition intolerance in sepsis patients based on four machine learning algorithms, among which the overall performance of the RF model is superior, which is helpful for healthcare professionals to accurately identify the risk of enteral nutrition intolerance in sepsis patients and formulate interventions at an early stage.

Objective To study the effects of Danggui-Chuanxiong herb pair medicine on vasoactive substances,adhesion factors,inflammatory factors,and VEGF-PI3K-AKT/NF-κB signaling pathways,in order to elucidate the mechanism of Danggui-Chuanxiong herb pair on the treatment of ischemic stroke(IS).Methods The oxygen glucose deprivation/reoxygenation(OGD/R)model of human umbilical vein endothelial cells(HUVEC)was constructed,and the cell viability was detected by cell proliferation kit(CCK-8 method)to explore the optimal modeling time of seven components;The release of lactate dehydrogenase(LDH)was detected by cytotoxicity kit;The expression of related cytokines was detected by enzyme-linked immunosorbent assay(ELISA);The mRNA expression of key proteins in the signaling pathway was detected by reverse transcription-polymerase chain reaction(RT-PCR).Results Reoxygenation after 6 h of oxygen-glucose deprivation of HUVEC is the best modeling time.High-dose chlorogenic acid group,ferulic acid group,senkyunolide H,low-dose and medium-dose butylidenephthalide group,medium-dose and high-dose senkyunolide A and ligustilide groups significantly decreased LDH leakage rate(P<0.05,P<0.01);The expression of IL-6 in the cells of the partial dose group of chlorogenic acid,caffeic acid,butenylphthalide,senkyunolide H and senkyunolide A was significantly increased,the expression of IL-1 in the cells of the partial dose group of chlorogenic acid,ferulic acid and senkyunolide A was significantly decreased,the expression of VEGF,ICAM-1 and VCAM-1 in the cells of the partial dose group of chlorogenic acid,ferulic acid and senkyunolide H was significantly decreased,the expression of NF-κB in the cells of the partial dose group of chlorogenic acid,ferulic acid,senkyunolide H and ligustilide was significantly decreased,the expression of PAI-1 in the cells of ferulic acid and senkyunolide H partial dose group decreased significantly(P<0.05,P<0.01);The mRNA relative expression levels of ERK,VEGF,NF-κB,VEGFR2 and MMP9 were significantly down-regulated in the cells of chlorogenic acid,ferulic acid,caffeic acid,butylidenephthalide and senkyunolide A partial dose group,while the mRNA relative expression levels of AKT were significantly up-regulated in the cells of senkyunolide H and senkyunolide A partial dose groups(P<0.05,P<0.01).Conclusion The medicinal components of Danggui-Chuanxiong herb pair may play a role in IS by inhibiting the mRNA expression of adhesion factor,inflammatory factor and key protein of VEGF-PI3K-AKT/NF-κB signaling pathway in HUVEC.

BACKGROUND: After major liver resection, the volume status of patients is still undetermined. However, few concerns have been raised about postoperative fluid management. We aimed to compare gut function recovery and short-term prognosis of the patients after laparoscopic liver resection (LLR) with or without inferior vena cava (IVC) respiratory variability-directed fluid therapy in the anesthesia intensive care unit (AICU). METHODS: This randomized controlled clinical trial enrolled 70 patients undergoing LLR. The IVC respiratory variability was used to optimize fluid management of the intervention group in AICU, while the standard practice of fluid management was used for the control group. The primary outcome was the time to flatus after surgery. The secondary outcomes included other indicators of gut function recovery after surgery, postoperative length of hospital stay (LOS), liver and kidney function, the severity of oxidative stress, and the incidence of severe complications associated with hepatectomy. RESULTS: Compared with patients receiving standard fluid management, patients in the intervention group had a shorter time to anal exhaust after surgery (1.5 ± 0.6 days vs. 2.0 ± 0.8 days) and lower C-reactive protein activity (21.4 [95% confidence interval (CI): 11.9-36.7] mg/L vs. 44.8 [95%CI: 26.9-63.1] mg/L) 24 h after surgery. There were no significant differences in the time to defecation, serum concentrations of D -lactic acid, malondialdehyde, renal function, and frequency of severe postoperative complications as well as the LOS between the groups. CONCLUSION: Postoperative IVC respiratory variability-directed fluid therapy in AICU was facilitated in bowel movement but elicited a negligible beneficial effect on the short-term prognosis of patients undergoing LLR. TRIAL REGISTRATION ChiCTR-INR-17013093.
Humans ; Hepatectomy ; Vena Cava, Inferior/surgery* ; Liver ; Laparoscopy ; Fluid Therapy

Objective:To examine the expression of human leukocyte antigen G (HLA-G) in the peripheral blood and cancerous tissues of patients with papillary thyroid carcinoma (PTC) .Methods:The expression of soluble HLA-G (sHLA-G) in the peripheral blood of 50 individuals with PTC (PTC group) , 25 patients with benign thyroid tumors (BTT group) from Department of Thyroid and Breast Surgery, Beilun branch of the First Affiliated Hospital of Zhejiang University and 20 healthy controls (healthy control group) from physical examination center was assessed by ELISA. Immunohistochemical examination of HLA-G levels was also performed on tissue specimens from patients in the PTC and BTT groups, and their correlation with clinicopathological features of thyroid cancer was analyzed. SPSS 19.0 was used for statistical analysis. The measurement data of normal distribution were tested by two independent samples t test. Chi square test was used to compare the rates between the two groups. Results:The sHLA-G expression in peripheral blood was 21.33 (±5.54) , 22.73 (±4.99) , and 18.29 (±4.43) ng/mL in the preoperative PTC, BTT, and healthy control groups, respectively. Compared to the healthy group, sHLA-G levels were considerably higher in the PTC and BTT groups, with statistically significant differences (totally P < 0.05) . There was no significant difference in statistically sHLA-G levels between the BTT and PTC groups ( P > 0.05) . The positive HLA-G expression rate in PTC tissues was 78% (39/50) . There was no evidence of HLA-G expression in common tissues adjacent to PTC. HLA-G was not expressed in benign tumors. HLA-G was linked with the PTC tumor diameter, and the rate of positive expression was considerably greater with tumor diameters >1 cm than with those ≤1 cm ( P<0.05) . The rate of HLA-G positive expression was not significantly correlated with sex, age, multiple foci, extra-glandular invasion, metastasis of lymph nodes, or the TNM stage in PTC individuals ( P > 0.05) . Conclusions:HLA-G is significantly expressed at high levels in PTC tissues, is correlated with the tumor diameter, and may probably have a significant role in this disease. Peripheral blood sHLA-G may be associated with thyroid tumorigenesis, and its value in PTC requires further verification.

Objective:To analyze the epidemiological characteristics of geriatric hip fractures.Methods:This study retrospectively analyzed the clinical characteristics of 2 054 elderly patients with hip fracture aged 60 years and over who were admitted to Beijing Hospital from January 2011 to December 2020.The epidemiological characteristics of geriatric hip fractures were analyzed from the aspects of age, gender, fracture type, length of stay, surgical method and surgical complications.Results:The total number of hip fractures patients admitted from 2011 to 2020 showed a general upward trend in quantity.Among them, there were 1 177 femoral neck fractures(57.3%, 1 177/2 054), and 877 intertrochanteric femoral fractures(42.7%, 877/2 054)with statistical differences in the distribution of fracture types between patients at different ages( χ2=61.727, P<0.001). A total of 1 839 patients chose surgical treatment, accounting for 89.5% of the total number of patients.Artificial femoral head arthroplasty was the most common operation mode for patients with femoral neck fractures(783 cases, 75.4%).534 patients with intertrochanteric femoral fractures(66.8%)were treated with closed reduction and femoral intramedullary nailing.There was a statistically significant difference in operation modes among different fracture types( χ2=1 480.800, P<0.001). The length of hospital stay in patients with femoral neck fracture was(14.2±8.3)days, which was significantly longer than in patients with femoral neck fracture(13.2±10.9)days( t=2.417, P=0.016). There was no significant difference in the time from admission to operation between the two groups[(5.7±3.5)days vs.(5.4±3.3)days]( t=1.954, P=0.051). Among all the comorbidities of hip fracture patients, the top 5 diseases were cardiovascular system diseases(2 001 cases, 97.4%), nervous system diseases(1 105 cases, 53.8%), endocrine system diseases(814 cases, 39.6%), skeletal and muscular system diseases(623 cases, 30.3%), digestive system diseases(472 cases, 23.0%).1 485 patients(72.3%)had 3 or more comorbidities. Conclusions:Hip fractures in the elderly have some epidemiological distribution characteristics in terms of age, gender, length of hospitalization, injury mechanism and comorbidities, which is conducive to further improve the prevention and treatment strategies for hip fractures and promote the rational allocation of medical resources.

Objective:To explore the characteristics of nursing-related research design types, implementation organizations, funding sources and research fields by analyzing the characteristics of nursing-related trials registered in the Chinese Clinical Trial Registry (ChiCTR) .Methods:We searched the nursing-related clinical trials registered in the ChiCTR database, and the search time was from the establishment of the database to May 25, 2020. The characteristics of registered nursing related trials were analyzed.Results:A total of 319 nursing-related trials were obtained, of which 268 trials were registered as pre-registration and 51 trials were supplementary registration. The number of trial registrations in Shanghai, Guangdong, Sichuan, Jiangsu and Beijing were greater than or equal to 25. The main source of funding was college funds, followed by local finance, self-financing and national finance. Among the registered trials, 239 (74.92%) were randomized controlled trials, and 27 were multi-center clinical trials, and 53 trials used the blind method, and 277 trials passed the review of the ethics committee. Research fields were widely distributed, mainly tumors, strokes and diabetes.Conclusions:The number of nursing-related trials registered in ChiCTR is increasing, but there are regional imbalances in the distribution of research, and the low proportion of funding from high-level funds. Relevant personnel are needed to improve the level of nursing research from many aspects such as nursing education, nursing management, research registration management and funding support.