Objective To evaluate the application of carbapenem antibiotics in conjunction with hemofil-tration for patients with septic shock and to analyze the impact on serum levels of lncRNA XIST and miRNA-130a.Methods A prospective study was conducted on 80 patients with septic shock treated at our hospital from August 2022 to January 2024.These patients were randomly divided into a control group and an experimental group,each comprising 40 cases.The control group received carbapenem antibiotics,while the experimental group received carbapenem antibiotics in combination with hemofiltration.The clinical outcomes of both groups were evaluated,and comparisons were made regarding their hemodynamic indices[including cardiac output(CO),central venous pressure(CVP),and mean arterial pressure(MAP)],immune function indices[including interleukin-6(IL-6),C-reactive protein(CRP),and tumor necrosis factor-alpha(TNF-α)],oxygen metabolism indices[including blood oxygen saturation(SaO2),blood lactate(LAC),and oxygenation index(PaO2/FiO2)],as well as serum levels of lncRNA XIST and miRNA-130a expression.Results Following treatment,the levels of CO,CVP,MAP,SaO2,PaO2/FiO2,and miRNA-130a were significantly increased,whereas the levels of IL-6,CRP,TNF-α,LAC,and lncRNA XIST were significantly decreased compared to pre-treatment levels(all P<0.05).In comparison with the control group,the experimental group exhibited significantly higher levels of CO,CVP,MAP,and miRNA-130a,as well as significantly lower levels of IL-6,CRP,TNF-α,and lncRNA XIST(all P<0.05).The overall effective rate in the experimental group was significantly higher than that in the control group(χ2=4.501,P<0.05),while no significant difference was observed in the incidence of adverse reactions between the two groups(χ2=0.180,P>0.05).Conclusion Carbapenem antibiotics and hemofiltration therapy can alleviate the symptoms of septic shock patients by downregulating lncRNA XIST expression,upregulating miRNA-130a expression,modulating inflammatory factors,enhancing oxygen metabolism indices,and maintaining hemodynamic stability.

Objective To evaluate the application of carbapenem antibiotics in conjunction with hemofil-tration for patients with septic shock and to analyze the impact on serum levels of lncRNA XIST and miRNA-130a.Methods A prospective study was conducted on 80 patients with septic shock treated at our hospital from August 2022 to January 2024.These patients were randomly divided into a control group and an experimental group,each comprising 40 cases.The control group received carbapenem antibiotics,while the experimental group received carbapenem antibiotics in combination with hemofiltration.The clinical outcomes of both groups were evaluated,and comparisons were made regarding their hemodynamic indices[including cardiac output(CO),central venous pressure(CVP),and mean arterial pressure(MAP)],immune function indices[including interleukin-6(IL-6),C-reactive protein(CRP),and tumor necrosis factor-alpha(TNF-α)],oxygen metabolism indices[including blood oxygen saturation(SaO2),blood lactate(LAC),and oxygenation index(PaO2/FiO2)],as well as serum levels of lncRNA XIST and miRNA-130a expression.Results Following treatment,the levels of CO,CVP,MAP,SaO2,PaO2/FiO2,and miRNA-130a were significantly increased,whereas the levels of IL-6,CRP,TNF-α,LAC,and lncRNA XIST were significantly decreased compared to pre-treatment levels(all P<0.05).In comparison with the control group,the experimental group exhibited significantly higher levels of CO,CVP,MAP,and miRNA-130a,as well as significantly lower levels of IL-6,CRP,TNF-α,and lncRNA XIST(all P<0.05).The overall effective rate in the experimental group was significantly higher than that in the control group(χ2=4.501,P<0.05),while no significant difference was observed in the incidence of adverse reactions between the two groups(χ2=0.180,P>0.05).Conclusion Carbapenem antibiotics and hemofiltration therapy can alleviate the symptoms of septic shock patients by downregulating lncRNA XIST expression,upregulating miRNA-130a expression,modulating inflammatory factors,enhancing oxygen metabolism indices,and maintaining hemodynamic stability.

Objective To investigate the association between the immune microenvironment and gene expression in endometrial cancer(EC)and discuss its predictive value for prognosis,and to identify critical immune-related genes through bioinformatics analysis and machine learning techniques and construct a prognostic model for providing new directions for personalized treatment of EC.Methods Based on data from the Cancer Genome Atlas(TCGA)program,tools such as DESeq2,edgeR,and limma were utilized to screen for differentially expressed genes.Immune-related genes were selected by integrating data from the Immunology Database and Analysis Portal(ImmPort).Machine learning algorithms including Lasso regression,univariate feature selection,Boruta and random forest were employed to refine the selection of feature genes.Univariate and multivariate Cox regression analyses were conducted to assess the prognostic value of the genes,followed by construction of a risk score model.Additionally,tumor immune infiltration was analyzed using CIBERSORT algorithm,and key gene expressions were validated through immunohistochemistry.Results The intersection of 3 difference analysis results and immune-related genes identified 62 differentially expressed immune genes,and 25 potential biomarkers which were selected by a variety of machine learning models were considered as prognosis related genes.Univariate and multivariate Cox regression analyses confirmed that INHBE,SLURP1 and TNFSF11 genes were significantly associated with survival in EC patients.The constructed risk score model effectively distinguished the survival rate of different prognostic groups,and was related to the degree of immune cell infiltration.Immunohistochemical analysis further verified the differences in the expression of these genes between tumor and normal tissues.Conclusion INHBE,SLURP1 and TNFSF11 are key prognostic biomarkers in EC immune microenvironment,and their expression levels are closely associated with immune cell infiltration and patient survival rate,providing theoretical basis for EC precision medicine.

Objective To investigate the association between the immune microenvironment and gene expression in endometrial cancer(EC)and discuss its predictive value for prognosis,and to identify critical immune-related genes through bioinformatics analysis and machine learning techniques and construct a prognostic model for providing new directions for personalized treatment of EC.Methods Based on data from the Cancer Genome Atlas(TCGA)program,tools such as DESeq2,edgeR,and limma were utilized to screen for differentially expressed genes.Immune-related genes were selected by integrating data from the Immunology Database and Analysis Portal(ImmPort).Machine learning algorithms including Lasso regression,univariate feature selection,Boruta and random forest were employed to refine the selection of feature genes.Univariate and multivariate Cox regression analyses were conducted to assess the prognostic value of the genes,followed by construction of a risk score model.Additionally,tumor immune infiltration was analyzed using CIBERSORT algorithm,and key gene expressions were validated through immunohistochemistry.Results The intersection of 3 difference analysis results and immune-related genes identified 62 differentially expressed immune genes,and 25 potential biomarkers which were selected by a variety of machine learning models were considered as prognosis related genes.Univariate and multivariate Cox regression analyses confirmed that INHBE,SLURP1 and TNFSF11 genes were significantly associated with survival in EC patients.The constructed risk score model effectively distinguished the survival rate of different prognostic groups,and was related to the degree of immune cell infiltration.Immunohistochemical analysis further verified the differences in the expression of these genes between tumor and normal tissues.Conclusion INHBE,SLURP1 and TNFSF11 are key prognostic biomarkers in EC immune microenvironment,and their expression levels are closely associated with immune cell infiltration and patient survival rate,providing theoretical basis for EC precision medicine.

Objective To explore the effects of different intrauterine adhesion (IUA) classification systems on predicting the IUA prognosis.Methods One hundred cases were selected as the subjects in present study from those diagnosed with IUA and underwent surgery in Zhujiang Hospital of Southern Medical University from Jan.2010 to Jan.2017,and were followed up for two years.According to the actual situation,all patients were scored by March,AFS,ESGE and Chinese classification for comparing the effects of different IUA classification systems on predicting the pregnancy rate,live birth rate and effective rate within 2 years after surgery.Results ESGE classification had a good effect on predicting the postoperative live birth rate and effective rate,and a certain predictive effect on pregnant rate,with the area under curve (AUC) of 0.722,0.754 and 0.635,respectively.March classification had a certain effect on predicting the postoperative live birth rate and effective rate with AUC of 0.635,0.754,respectively,but had a poor effect on predicting pregnant rate.AFS classification and China classification had poor effect on predicting the IUA prognosis.Conclusion ESGE classification system is better than the other systems including March,AFS and Chinese classification,on predicting the IUA prognosis,but further verification in large sample size is still required.

To investigate the effects of curcumin on mitochondrial dysfunction induced by high glucose(40 mmol/L glucose, 24 h)in L6 cells, curcumin(10, 20, 40 μmol/L)was administered for 24 h after high glucose culture. The effects of curcumin on the mitochondrial dysfunction were evaluated by mitochondrial membrane potential, reactive oxygen species(ROS), ATP content and mtDNA copy number. The mRNA and protein expression of uncoupling protein 2(UCP2), PPARγ coactivator 1α(PGC-1α)and sirtuin-1(Sirt3)were also determined. As improvement of high glucose damage, curcumin significantly raised mitochondrial membrane potential and ATP content, and decreased ROS level. Curcumin significantly ameliorated the down regulation of UCP2 yet with little effect on mtDNA copy number and PGC-1α and Sirt3 expression. In conclusion, curcumin could significantly ameliorate mitochondrial dysfunction in L6 cells induced by high glucose, which involved the mechanism of multiple antioxidants.

OBJECTIVE: To explore the effect of reinforced health education on deep radiofrequency thermotherapy for patients with tumor. METHODS: From June 2012 to June 2014, 106 patients who underwent deep radiofrequency thermotherapy in our hospital were randomly selected, and were divided into a control group (n=69) and an observation group (n=65). The observation group received reinforced health education while the control group received the traditional health education before treatment. Th e reinforced health education included preparation, cooperation and health behavior during and aft er treatment. Th en the compliance rate, degree of satisfaction, and the awareness rate of related knowledge were compared and analyzed aft er treatment between the 2 groups. RESULTS: Th e compliance rate in the observation group and the control group was 85.51% and 63.08% respectively; there was significant difference in the awareness rates of related knowledge and the overall degree of satisfaction between the patients and their family members (all P<0.05). CONCLUSION Implement of reinforced health education is benefit to patients to understand the content of health education before treatment and keep health behavior after treatment, and can also improve the compliance, the degree of satisfaction in the deep radiofrequency thermotherapy for patients with tumor.
Humans ; Hyperthermia, Induced ; Neoplasms ; therapy ; Patient Compliance ; Patient Education as Topic

OBJECTIVETo study the effects of high frequency oscillatory ventilation (HFOV) with different position on oxygenation and hemodynamics of dogs with severe smoke inhalation injury.

METHODSAfter being treated with conventional mechanical ventilation, 12 dogs were inflicted with severe smoke inhalation injury and treated by HFOV for 30 min. They were divided into HFOV+prone positioning (PP) group and HFOV+supine positioning (SP) group according to the random number table, with 6 dogs in each group. They received HFOV with corresponding position for 8 hours respectively.

RESULTSof blood gas analysis (pH, PaO₂ and PaCO₂ levels), oxygen index (OI) and hemodynamic parameters [heart rate, mean arterial pressure (MAP), and cardiac output (CO)] were recorded or calculated before injury, immediately after injury, and at post ventilation hour (PVH) 2, 4, 6, 8. Data were processed with analysis of variance of repeated measurement, and LSD- t test.

RESULTS(1) At PVH 8, pH value of dogs in group HFOV+PP was significantly higher than that in group HFOV+SP (t = 3.0571, P < 0.05). Compared with those observed immediately after injury, except for group HFOV+SP at PVH 2 and 4 (with t values respectively 2.066 5 and 1.440 7, P values all above 0.05), the pH values in both groups at other treatment time points were decreased (with t values from 2.449 5 to 3.985 3, P < 0.05 or P < 0.01). At PVH 2, 4, 8, the PaO₂ levels in group HFOV+PP [(131 ± 26), (150 ± 40), (112 ± 30) mmHg, 1 mmHg = 0.133 kPa] were higher than those in group HFOV+SP [(81 ± 15), (96 ± 5), (83 ± 6) mmHg, with t values from 2.366 4 to 4.083 5, P < 0.05 or P < 0.01]. The PaO₂ levels in both groups from PVH 2 to PVH 8 were increased, compared with those observed immediately after injury [(55 ± 15) mmHg in group HFOV+SP and (48 ± 11) mmHg in group HFOV+PP, with t values from 2.473 6 to 7.2310, P < 0.05 or P < 0.01]. No statistically significant differences were observed in PaCO₂ level at each time point between two groups (with t values from 0.661 0 to 2.141 9, P values all above 0.05). No statistically significant differences were observed in PaCO₂ levels from PVH 2 to PVH 8 compared with those observed immediately after injury in both groups (with t values from 0.126 2 to 1.768 3, P values all above 0.05). (2) The OI values in group HFOV+SP were significantly higher than those in group HFOV+PP from PVH 2 to PVH 8 (with t values from 3.091 9 to 3.791 6, P < 0.05 or P < 0.01). The OI values in both groups from PVH 2 to PVH 8 were significantly decreased, compared with those observed immediately after injury (with t values from 2.702 0 to 5.969 3, P < 0.05 or P < 0.01). (3) At PVH 6 and PVH 8, heart rate in group HFOV+PP was significantly higher than that in group HFOV+SP (with t values respectively 4.255 9 and 4.765 9, P values both below 0.01). Compared with that observed immediately after injury, heart rate in group HFOV+PP was significantly decreased (with t values from 3.006 2 to 5.135 5, P < 0.05 or P < 0.01) except for PVH 2 (t = 1.938 2, P > 0.05). However, there was no statistical significant difference at each treatment time point in group HFOV+PP (with t values from 0.786 5 to 1.525 8, P values all above 0.05). There was no statistically significant difference in MAP between two groups at each time point (with t values from 0.045 8 to 1.783 4, P values all above 0.05). Compared with that observed immediately after injury, MAP in group HFOV+SP was significantly decreased at PVH 8 (t = 2.368 3, P < 0.05); MAP in group HFOV+PP was significantly decreased at PVH 2 (t = 3.580 1, P < 0.01). At PVH 2 and 4, the CO values in group HFOV+SP were significantly higher than those in group HFOV+PP (with t values respectively 2.310 3 and 4.526 5, P values both below 0.01). Except for group HFOV+SP at PVH 2 (t = 1.294 1, P > 0.05), CO values at other treatment time points in both groups were significantly lower than that observed immediately after injury (with t values from 2.247 0 to 4.067 8, P < 0.05 or P < 0.01).

CONCLUSIONSHFOV+ PP can improve oxygenation with no obvious CO₂ retention or adverse effect on hemodynamic parameters of dogs with severe smoke inhalation injury. Therefore, it is recommended for clinical application.

Animals ; Carbon Dioxide ; blood ; Disease Models, Animal ; Dogs ; Hemodynamics ; High-Frequency Ventilation ; Male ; Oxygen ; blood ; Prone Position ; Smoke Inhalation Injury ; physiopathology ; therapy ; Supine Position

Humans ; Severe Acute Respiratory Syndrome ; diagnosis ; therapy