ObjectiveTo study on the hyperlipidemia patient plasma cause atherosclerosis index and the blood,blood serum uric acid sticks and so on thrombosis risk factors of the relationship.Methods81 patients with hyperlipidemia patient and 80 cases of normal blood fat crowd as the research object,the two groups were measured blood fat including total bravery solid alcohol ( TC ),triglycerides (TG),high-density lipoprotein cholesterol ( hdl-c ),low dense white lipoprotein LDL( solid bravery alcohol-C) levd,blood uric acid,whole blood viscosity,platelet aggregation function and serum C-reactive protein(CRP) content,and according to the TG and hdl-c than of both the logarithm of conversion values calculated the two groups of the plasma to atherosclerosis values,and by using the DuoYuan linear regression analysis with the blood acid,whole blood viscosity,platelet aggregation function and serum levels of CRP relationship.ResultsObservation group AIP(2.25 ±0.18) was significantly higher( 1.31 ±0.15 ) ( t =46.71,P ＜ 0.05 ),and AIP and LDL-C,uric acid,whole blood viscosity,platelet aggregation was positively correlated ( r =0.86,0.85,0.79,0.81,0.77,all P ＜ 0.05 ),with HDL-C was negatively correlated ( r =-0.69,P ＜ 0.05 ).ConclusionPatients with hyperlipidemia plasma cause atherosclerosis index and patients,such as blood uric acid blood viscosity thrombosis dangerous close by,by early know patients plasma to atherosclerosis index,and monitor patients early blood uric acid and blood viscosity,thrombosis risk factors level,to facilitate accurate assessment of some patients with cardiovascular disease risk,and to guide to take reasonable early intervention measures,reduce cardiovascular events.

Objective: To investigate the antitumor activities and apoptosis mechanisms of 3,7-dinitrodibenzobromonium salt (cBr) on human chronic myelogenous leukemia K562 cell line in vitro. Methods: The antitumor activities of cbr were tested by Trypanblau exclusion test, MTF coloretric assay and clonal forming test, and the mechanisms were studied by morphological analysis (microscopy, fluoreseencemicroscopy, electron microscopy) and flow cytometry analysis. Resuits: cBr could inhibit of the proliferation K562 cells and kill them significantly. The effects varied with different time and doses, and IC50 of cell colony forming rate was 0. 497 mmoL/L. Apoptosis rate tested by flow cytometry was 70.34%,and apoptotic characteristics could be found by microscopy and electron microscopy. Conclusion: cBr could inhibit K562 cell proliferation greatly, and could induce K562 cells into apoptosis.

Objective To explore the effect of nano-hydroxyapatite/collagen scaffolds incorporating ADM-PLGA microspheres in repairing large bone defects of rabbit femoral condyle. Methods Animal models of bone defects were induced in 21 New Zealand white rabbits by drilling holes in bilateral femoral lateral condyles , and the rabbits were equally divided into 3 groups:group A as the control group with the defects untreated , group B treated by filling with nano-hydroxyapatite/collagen scaffolds (NHAC), and group C treated by filling with the nano-hydroxyapatite/collagen scaffolds incorporating ADM-PLGA microspheres (ADM-PLGA-NHAC). At week 12 after implanting , the rabbits were all sacrificed for the implanted scaffolds , which were then examined by X-ray , and Micro-CT 3D reconstruction and in histology for evaluation of the new bone formation. Results X-ray, Micro-CT and the measurement and analysis of BMD indicated thatthere was no significant differencein the new bone formation between group B and group C (P > 0.05). The histological examination revealed that. 12 weeks after operation an evident number of new born bones were seen on the implanted scaffolds in groups B and C , while very few were seen scattering in group A. Conclusion The nano-hydroxyapatite/collagen scaffolds incorporating ADM-PLGA microspheres is effective in repairing bone defect without influencing the prosthetic process.

Objective: To clarify the clinicopathologic features of hepatocellular carcinoma (HCC) patients survived more than 10 years after radical hepatectomy. Methods: Two hundreds and fifty-two patients who underwent curative resection for HCC between January 1999 and March 2006 at Department of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qingdao University were included.There were 217 male cases and 35 female cases aging from 17 to 82 years with median age of (53.8±10.5)years. Followed by March 31 2016, clinicopathologic factors in 10-year survivors and patients who died within 10 years were compared by χ² test, Kaplan-Meier survival analysis and Cox proportional hazards model and the prognostic factors affecting survival were identified. Results: All patients were followed-up for 4.0 to 205.7 months with median time of 53.4 months. The 10-year overall survival rate was 26%, there were 62 cases(26.2%) who survived for more than 10 years after initial hepatectomy. In survival >10-year group, the paitents with ALT<40 U/L, gamma-glutamyl transpeptidase<64 U/L, albumin≥35 g/L, without liver cirrhosis and portal hypertension, Child-Pugh grade A, no blood transfusion, AFP≤20 μg/L, tumor size ≤5.0 cm, single tumor, high differentiation, TNM stage Ⅰ and TACE negative after resection were more than the patients in survival <10-year group (P<0.05). In multivariate analysis, Child-Pugh grade A, the tumor size ≤5.0 cm and TACE negative after resection were favorable independent factors associated with 10-year survival (P<0.05). Conclusion Based on the results of the study, Child-Pugh grade A, tumor size ≤5.0 cm and TACE negative after resection at initial hepatectomy might be biologically favorable conditions for patients surviving more than 10 years.

Objective:To establish a differential diagnosis model for IgA nephropathy and non-IgA nephropathy based on machine learning algorithms.Methods:Retrospective study adopted,from 2019 to 2020,260 patients were referred to the Department of Nephrology at the First Affiliated Hospital of Kunming Medical University, the First People′s Hospital in Yunnan province, and Yan′an Hospital of Kunming city. All patients were diagnosed by renal pathology, 130 cases of primary IgA nephropathy, the 130 cases of non-IgA nephropathy. Collection of materials, including gender and age, 28 clinical data, and routine laboratory test results,the sex ratio of IgA nephropathy group and non-IgA nephropathy group were 59∶71 and 64∶66 respectively, the ages were 37.20 (21.89, 53.78) and 43.30 (27.77, 59.18) years, respectively. 260 patients were divided into a training set (70%, 182 cases) and a test set (30%, 78 cases). Using the decision tree, random forests, support vector machine, extreme gradient boosting to establish a differential diagnosis model for IgA nephropathy and non-IgA nephropathy. Based on the true positive rate, true negative rate, false-positive rate, false-negative rate, accuracy, subjects features work area under the curve(AUC), the precision ratio, recall ratio, and F1 score, comprehensively evaluate the performance of each model, finally, the best performance of the model was chosen. Using SPSS 25.0 to analyze the data, P<0.05 was considered to be statistically significant. Results:The accuracy of the decision tree, support vector machine, random forests and extreme gradient boosting establish differential diagnosis model was 67.95%, 70.51%, 80.77% and 83.33%, respectively; AUC values was 0.74, 0.76, 0.80 and 0.83; Judgment for primary IgA nephropathy F1 score was 0.73, 0.72, 0.80 and 0.83, respectively. The efficiency of the extreme gradient boosting model based on the above evaluation indicators is the highest, its diagnosis of IgA nephropathy of the sensitivity and specificity respectively 89% and 79%. The variable importance from high to low was blood albumin, IgA/C3, serum creatinine, age, urine protein, urine albumin, high-density lipoprotein cholesterol, urea.Conclusion:The differential diagnosis model for IgA nephropathy was established successfully and non-IgA nephropathy and the efficiency performance of the extreme gradient boosting algorithm was the best.

Objective:To explore the mediating effect of experiential avoidance and emotional eating between intolerable uncertainty and life satisfaction of college students.Methods:From October to December 2021, a total of 890 college students in the Beijing-Tianjin-Hebei region were tested by the intolerable uncertainty scale (simplified version), the acceptance action scale second edition, the Dutch eating behavior questionnaire and the life satisfaction scale. All data processing and analysis were preformed by SPSS 22.0 software, and the mediating effect was tested by Pearson correlation analysis and Bootstrap analysis.Results:The intolerable uncertainty score was (26.43±7.64), the experiential avoidance score was (22.63±9.67), the emotional eating score was (26.43 ±11.83), and the life satisfaction score was (16.74±6.03). Intolerable uncertainty was significantly and negatively correlated with life satisfaction( r=-0.76, P<0.01), and was significantly and positively correlated with experience avoidance and emotional eating( r=0.66, 0.78, both P<0.01). Experience avoidance was significantly and positively correlated with emotional eating( r=0.70, P<0.01), and was significantly and negatively correlated with life satisfaction( r=-0.62, P<0.01). Emotional eating was significantly and negatively correlated with life satisfaction( r=-0.68, P<0.01). Intolerable uncertainty affects life satisfaction through four paths.The direct effect value of intolerable uncertainty on life satisfaction was -0.53, accounting for 70.23% of the total effect. The separate mediating effect value of experience avoidance was -0.11, accounting for 50.00% of the total indirect effect.The separate mediating effect value of emotional eating was -0.08, accounting for 36.36% of the total indirect effect, and the chain mediating effect value of experience avoidance and emotional eating was -0.03, accounting for 13.64% of the total indirect effect. Conclusion:Intolerable uncertainty can directly affect life satisfaction of college students and indirectly through experiencing avoidance and emotional eating.

Objective:To analyze the clinical efficacy of two-stage total hip arthroplasty in the treatment of chronic septic hip arthritis.Methods:From January 2008 to March 2020, 17 patients with chronic septic hip arthritis (17 hips) received two-stage total hip arthroplasty at Department of Orthopaedic Surgery, The First Affiliated Hospital to of Fujian Medical University. They were 11 males and 6 females, with an average age of 54.5 years (from 19 to 77 years) and 9 left and 8 right hips affected. There were 10 cases of primary septic hip and 7 cases of secondary infection after hip surgery. Three patients had undergone debridement in other hospitals and one patient had developed a sinus tract. In the first stage operation, the diseased femoral head and neck were resected to implant an articulating spacer after thorough debridement; in the second stage operation, the spacer was removed to implant a uncemented artificial hip prosthesis in 16 cases or a cemented artificial hip prosthesis in one case. Recorded were the results of microbial culture, operation time, intraoperative blood loss, and therapeutic outcomes of the patients.Results:Pathogenic data were available in 13 patients and the culture was negative in 4. The pathogens were detected by metagenomic next-generation sequencing in 2 patients with culture negative. In the first stage operation, operation time averaged 140.6 min (from 90 to 176 min) and intraoperative blood loss 361.8 mL(from 100 to 1 000 mL); in the second stage operation, operation time averaged 130.3 min (from 91 to 166 min)and blood loss 291.2 mL(from 50 to 700 mL). The average interval between the first and the second stage operations was 115.0 days(from 66 to 227 d). During the interval, spacer fracture occurred in one case, spacer dislocation in one case and lower extremity deep venous thrombosis in one case. All the patients were followed up for 12 to 82 months (average, 36.7 months) after second stage operation. The inflammatory indexes decreased to normal in all the 17 patients and infection recurrence was observed in none of them.Conclusions:Two-stage total hip arthroplasty may result in a high rate of successful treatment of chronic septic hip arthritis. Specific use of sensitive antibiotics after identification of specific pathogenic microorganisms by multiple methods is the key to a successful treatment.

Objective:To explore the mediating roles of rumination and avoidance coping between information anxiety and suicidal ideation.Methods:In March 2022, a total of 896 college students were surveyed by the information anxiety scale(IAS), ruminative responses scale(RRS), coping style questionnaire(CSQ)and self-rating idea of suicidal ideation scale(SIOSS). The ANOVA analysis, Pearson correlation analysis and mediating effect analysis were performed by the SPSS 22.0 software.Results:The detection rate of suicidal ideation among college students was 9.15%(82/896). The information anxiety score was(73.84±17.29), the rumination score was(47.73±12.16), the avoidance coping score was(3.76±2.52), and the suicidal ideation score was(5.41±4.09). Information anxiety was significantly positively correlated with rumination, avoidance coping and suicidal ideation( r=0.49, 0.36, 0.37, all P<0.05). Rumination was significantly positively correlated with avoidance coping and suicidal ideation( r=0.42, 0.59, both P<0.05). There was a significantly positive correlation between avoidance coping and suicidal ideation( r=0.45, P<0.05). Information anxiety affected suicidal ideation of college students through four paths.The direct effect value of information anxiety on suicidal ideation was 0.06, accounting for 16.67% of the total effect. The effect values of the separate mediating effect of rumination and avoid coping were 0.22 and 0.04, and accounting for 61.11% and 11.11% of the total effect respectively. The chain mediating effect value of rumination and avoid coping was 0.04, accounting for 11.11% of the total effect. Conclusion:Information anxiety can directly affect suicidal ideation of college students and indirectly affect suicidal ideation through rumination and avoidance coping.

In the diagnosis of cardiovascular diseases, the analysis of electrocardiogram (ECG) signals has always played a crucial role. At present, how to effectively identify abnormal heart beats by algorithms is still a difficult task in the field of ECG signal analysis. Based on this, a classification model that automatically identifies abnormal heartbeats based on deep residual network (ResNet) and self-attention mechanism was proposed. Firstly, this paper designed an 18-layer convolutional neural network (CNN) based on the residual structure, which helped model fully extract the local features. Then, the bi-directional gated recurrent unit (BiGRU) was used to explore the temporal correlation for further obtaining the temporal features. Finally, the self-attention mechanism was built to weight important information and enhance model's ability to extract important features, which helped model achieve higher classification accuracy. In addition, in order to mitigate the interference on classification performance due to data imbalance, the study utilized multiple approaches for data augmentation. The experimental data in this study came from the arrhythmia database constructed by MIT and Beth Israel Hospital (MIT-BIH), and the final results showed that the proposed model achieved an overall accuracy of 98.33% on the original dataset and 99.12% on the optimized dataset, which demonstrated that the proposed model can achieve good performance in ECG signal classification, and possessed potential value for application to portable ECG detection devices.
Humans ; Electrocardiography ; Algorithms ; Cardiovascular Diseases ; Databases, Factual ; Neural Networks, Computer

A 11-year old female patient with severe thalassemia, receipt a lentivirus-based cell and gene therapy (CGT) therapy in Shenzhen Children′s Hosptial on July 27th, 2021. At the two follow-up visits after discharge, patient were continuously tested positive for HIV screening through HIV Ag/Ab Combo assay (chemiluminescence Immunoassay), and the viral load results of HIV-1 nucleic acid testing (NAT) were both>5 000 copies/ml. The patient can be diagnosed with HIV infection according to the National Guideline for Detection of HIV/AIDS(2020 Revised Edition). The thorough investigation findings and supplementary experiment results indicated that the false-positive HIV-1 NAT results was caused by cross-reactivity between the target sites detected by conventional HIV-1 NAT reagents and the lentiviral vectors fragments integrated into the genome of patient′s hematopoietic stem/progenitor cells. In conclusion, it is important for laboratories to select appropriate HIV-1 NAT testing platforms which won′t cause cross-reactivity for the testing of samples from patients who have been treated with HIV-derived vectors. It is also recommended to design and develop NAT testing platforms with multiple target regions labeled by different fluorescents for HIV NAT supplementation experiment to reduce the risk of false-positive diagnoses of HIV infection.