Objective To explore the factors influencing cognitive frailty in elderly inpatients with chronic heart failure(CHF)during hospitalisation,8 prediction models were developed with various machine learning algorithms to identify the best model as a guidance for medical staff on clinical interventions.Methods Convenience sampling method was used to select 650 elderly CHF inpatients who stayed in our hospital between September 2023 and June 2024 as the study objects in the cross-sectional investigation.A total of 607 patients had completed the study.The patients were divided into a cognitive frailty group and a non-cognitive frailty group according to the presence or absence of cognitive frailty.Variables were initially screened using univariate analysis and stepwise Logistic regression.The total sample was then randomly divided into a training set(n=424)and a testing set(n=183)of a 7:3 ratio.Eight predictive models were created using the algorithms of neural network(NN),k-nearest neighbour(KNN),linear discriminant analysis(LDA),support vector machine(SVM),naive Bayes(NB),logistic regression,decision tree(DT)and random forest(RF)on the training set.The predictive performance of the models was compared using the data of the testing set.Results The prevalence of cognitive frailty in elderly CHF inpatients was 48.3%.Results of Logistic regression showed that age,marital status,education,body mass index,multi-morbidity,nutritional status,medication,frequency of weekly exercise and the living conditions were the key factors(P<0.05).The overall accuracy in classification of the eight predictive models ranged from 0.803 to 0.847,with F1-values of 0.778 to 0.833,precision of 0.848 to 0.897,and recall rate of 0.700 to 0.778.The area under the receiver operating characteristic curve was 0.820 to 0.901.Conclusion Of the eight predictive models,the prediction model created with LDA shows the best performance and prediction in terms of comprehensive prediction metrics,while the prediction model created with NN shows the worst performance in comprehensive prediction.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

OBJECTIVES: To explore the mechanisms of Qingre Lidan Jiedu Recipe (QLJR) for improving cognitive dysfunction in rats with high copper load. METHODS: Seventy-five male SD rats were randomized into normal control group, model group, QLJR group, penicillamine (PCA) group, and QLJR+ PCA group. Except for those in the control group, all the rats were fed a high-copper diet for 12 weeks. The effects of the treatments on cognitive function of the rats were assessed using the Barnes maze and passive avoidance tests. Hippocampal expressions of NIX, FUNDC1 and LC3 of the rats were detected using Western blotting and immunofluorescence staining, and changes in mitochondrial morphology were observed with transmission electron microscopy. RESULTS: Behavioral tests showed prolonged target hole latency, shortened latency to enter the dark chamber, and increased error counts of the rats in the model group, which were significantly improved in QLJR+PCA group; the error counts were significantly lower in QLJR+PCA group than in either QLJR or PCA group. Among all the groups, the hippocampal expressions of NIX and FUNDC1 were the lowest and LC3 I/II expression the highest in the model group; NIX and FUNDC1 expressions were significantly higher and LC3 I expression was lower in QLJR+PCA group than in QLJR group and PCA group. Immunofluorescence staining revealed weakened NIX and FUNDC1 expressions and enhanced LC3 expression in the hippocampus of the rats in the model group as compared with those in the normal control and QLJR+PCA groups, but their expressions did not differ significantly between QLJR and PCA groups. The rats in the model group showed obvious structural disarray of the mitochondria, which were improved in all the treatment groups. CONCLUSIONS QLJR improves cognitive dysfunction in rats with high copper load possibly by regulating mitophagy.
Animals ; Male ; Rats, Sprague-Dawley ; Rats ; Drugs, Chinese Herbal/therapeutic use* ; Copper/toxicity* ; Mitophagy/drug effects* ; Hippocampus/drug effects* ; Cognition Disorders/drug therapy* ; Cognitive Dysfunction/chemically induced*

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective To explore the mechanisms of Qingre Lidan Jiedu Recipe(QLJR)for improving cognitive dysfunction in rats with high copper load.Methods Seventy-five male SD rats were randomized into normal control group,model group,QLJR group,penicillamine(PCA)group,and QLJR+PCA group.Except for those in the control group,all the rats were fed a high-copper diet for 12 weeks.The effects of the treatments on cognitive function of the rats were assessed using the Barnes maze and passive avoidance tests.Hippocampal expressions of NIX,FUNDC1 and LC3 of the rats were detected using Western blotting and immunofluorescence staining,and changes in mitochondrial morphology were observed with transmission electron microscopy.Results Behavioral tests showed prolonged target hole latency,shortened latency to enter the dark chamber,and increased error counts of the rats in the model group,which were significantly improved in QLJR+PCA group;the error counts were significantly lower in QLJR+PCA group than in either QLJR or PCA group.Among all the groups,the hippocampal expressions of NIX and FUNDC1 were the lowest and LC3 I/II expression the highest in the model group;NIX and FUNDC1 expressions were significantly higher and LC3 I expression was lower in QLJR+PCA group than in QLJR group and PCA group.Immunofluorescence staining revealed weakened NIX and FUNDC1 expressions and enhanced LC3 expression in the hippocampus of the rats in the model group as compared with those in the normal control and QLJR+PCA groups,but their expressions did not differ significantly between QLJR and PCA groups.The rats in the model group showed obvious structural disarray of the mitochondria,which were improved in all the treatment groups.Conclusion QLJR improves cognitive dysfunction in rats with high copper load possibly by regulating mitophagy.

Objective To explore the factors influencing cognitive frailty in elderly inpatients with chronic heart failure(CHF)during hospitalisation,8 prediction models were developed with various machine learning algorithms to identify the best model as a guidance for medical staff on clinical interventions.Methods Convenience sampling method was used to select 650 elderly CHF inpatients who stayed in our hospital between September 2023 and June 2024 as the study objects in the cross-sectional investigation.A total of 607 patients had completed the study.The patients were divided into a cognitive frailty group and a non-cognitive frailty group according to the presence or absence of cognitive frailty.Variables were initially screened using univariate analysis and stepwise Logistic regression.The total sample was then randomly divided into a training set(n=424)and a testing set(n=183)of a 7:3 ratio.Eight predictive models were created using the algorithms of neural network(NN),k-nearest neighbour(KNN),linear discriminant analysis(LDA),support vector machine(SVM),naive Bayes(NB),logistic regression,decision tree(DT)and random forest(RF)on the training set.The predictive performance of the models was compared using the data of the testing set.Results The prevalence of cognitive frailty in elderly CHF inpatients was 48.3%.Results of Logistic regression showed that age,marital status,education,body mass index,multi-morbidity,nutritional status,medication,frequency of weekly exercise and the living conditions were the key factors(P<0.05).The overall accuracy in classification of the eight predictive models ranged from 0.803 to 0.847,with F1-values of 0.778 to 0.833,precision of 0.848 to 0.897,and recall rate of 0.700 to 0.778.The area under the receiver operating characteristic curve was 0.820 to 0.901.Conclusion Of the eight predictive models,the prediction model created with LDA shows the best performance and prediction in terms of comprehensive prediction metrics,while the prediction model created with NN shows the worst performance in comprehensive prediction.

Objective:To explore the effect of chronic intermittent hypoxia(CIH)on learning and memory dysfunc-tion in rats,as well as the expression of high mobility group box-1(HMGB1)and nuclear transcription factor-KB(NF-κB)in the hippocampus region.Methods:The CIH rat model was established,and forty SD rats were randomly divid-ed into four groups:normoxia group,hypoxia for 4 weeks group(CIH4 group),hypoxia for 8 weeks group(CIH8 group),and hypoxia for 12 weeks group(CIH12 group).Morris water maze was used to assess the learning memory ability of rats,and immunohistochemistry and ELISA were used to detect the expression of HMGB1 and NF-κB in the hippocampus of rats.Results:Compared with the normoxia group,the CIH12 and CIH8 groups had longer escape la-tency,the number of crossing the platform and the residence time in the quadrant of the platform were significantly shortened,but there was no significant difference in the CIH4 group.Additionally,there was no significant expression of HMGB1 and NF-κB in the hippocampal region of the normoxia group,but little expression was observed in CIH4 group,and significantly expressed in CIH8 group and CIH12 group,and the expression of CIH12 group was significantly higher than that of CIH8 group.Conclusion:CIH can lead to a decline in learning and memory function in rats,and the longer time of intermittent hypoxia led to the more significant effect on their learning and memory function.In addi-tion,CIH also leads to increased expression levels of HMGB1 and NF-κB in the hippocampus region,and the expres-sion increased more significantly after hypoxia for 12 weeks,comparing to hypoxia for 8 weeks.

Aim To explore the mechanism of oxidized lipoprotein(a)(oxLp(a))inducing pyroptosis of vascu-lar endothelial cells.Methods After incubating human umbilical vein endothelial cells(HUVEC)with 100 mg/L ox-Lp(a)for 24 hours,Western blot and RT-qPCR was used to detect pyroptosis related proteins,pro-inflammatory cytokines,mitochondrial related proteins NRF1,NRF2,PGC-1α and mitochondrial gene cytochrome b(CYTB),ELISA was used to detect the levels of inflammatory factors,scanning electron microscopy was used to detect cell membrane rup-ture,transmission electron microscopy was used to detect mitochondrial morphology,Hoechst33342/PI staining was used to detect cell apoptosis,MitoSOX probe was used to detect mitochondrial reactive oxygen species(mtROS),Flu-4AM probe was used to detect calcium ions,JC-1 probe was used to detect mitochondrial membrane potential(MMP),and Calcein AM staining was used to detect mitochondrial permeability transition pore(mPTP).Transfecting HUVEC with CYTB overexpressing lentivirus and analyzing its effects on oxLp(a)induced pyroptosis and mitochondrial function.Results After treatment with oxLp(a),the expression of NLRP3,pro-Caspase-1,Caspase-1,GSDMD and GSDMD-N proteins re-lated to pyroptosis were significantly increased(P＜0.05);the protein and mRNA levels of CYTB and pro-inflammatory cy-tokine IL-1β,IL-18 were significantly increased(P＜0.05).Small pores appeared on the cell membrane,the percentage of PI stained positive cells significantly increased(P＜0.05).OxLp(a)significantly inhibited the expression of mito-chondrial related proteins NRF1,NRF2 and PGC-1α,and the expression of mitochondrial gene CYTB,promoted an in-crease in mtROS generation,Ca2+overload,a decrease in ATP levels,a decrease in MMP,an increase in mPTP values,and abnormal mitochondrial morphology.After transfection with pHelper 2.0 lentivirus vector overexpressing CYTB,it was found that oxLp(a)induced HUVEC pyroptosis and mitochondrial morphological and functional abnormalities were par-tially reversed by overexpression of CYTB.Conclusion oxLp(a)promotes mitochondrial morphological and functional abnormalities and induces HUVEC pyroptosis by downregulating CYTB.

Objective    To explore the treatment outcome of carotid endarterectomy combined with vertebral artery transposition in patients with severe stenosis to occlusion of the vertebral artery V1 segment and the ipsilateral carotid artery. Methods    From June 2017 to September 2020, patients with severe stenosis to occlusion of the vertebral artery V1 segment and the ipsilateral carotid artery treated with carotid endarterectomy combined with vertebral artery transposition in Fuwai Hospital were retrospectively analyzed. Results    Finally 12 patients were enrolled, including 10 males and 2 females with an average age of 67.8±6.0 years. Twelve patients were successfully operated and the follow-up time was 1-3 years. The stenosis degree of the V1 segment of the vertebral artery decreased from 83.5%±11.8% to 24.9%±14.3% (P<0.001). The stenosis degree of carotid artery decreased from 85.6%±11.0% to 0% (P<0.001). Postoperative follow-up showed that the symptoms of symptomatic patients before surgery improved. The 1-year and 3-year patency rates were 100.0%, and there were no peripheral nerve injury complications, perioperative deaths or strokes. Conclusion    Carotid endarterectomy combined with vertebral artery transposition can treat ipsilateral carotid artery  stenosis and vertebral artery stenosis at the same time, improve blood supply to the brain, improve patients' symptoms and has high promotion value.

Objective:To investigate the clinical effect of the transverse rectus abdominismuscle (TRAM) on reconstruction of the breast.Methods:The clinical data of 23 patients receiving TRAM breast reconstruction in our department from Jan. 2018 to Dec. 2019 were retrospectively analyzed.Results:The operation time of 23 patients ranged from 240 to 360 mins, andthe average time was about 300 mins. Intraoperative bleeding was about 120 to 200 ml, with an average of 170 ml. All the flaps survived successfully, but 2 cases were complicated with local fat necrosis. The postoperative period was between 6 and 12 months. No local tumor recurrence or metastasis was found inall patients during postoperative follow-up, and the breast shape was maintained in good condition.Conclusion:TRAM can make up for the regret of breast loss caused by breast cancer in female patients. It can bring confidence in life and work to female patients, and the technology is safe and reliable, which is worthy of promotion.