Objective To construct a prognostic model for patients with in-hospital cardiac arrest(CA)to evaluate their short-term and long-term prognosis and provide a reference for clinical decision-making.Methods Data of in-hospital CA patients were extracted from the Medical Information Mart for Intensive Care Ⅳ 2.2 database,and randomly divided into training set and validation set at a 7∶3 ratio.A predictive nomogram model was constructed in the training set via multivariate COX regression analysis,and internally validated using the validation set.Results A total of 1787 patients were included(1250 in training set and 537 in validation set).Univariate regression,LASSO regression,and multivariate COX regression analyses identified age,body weight,base excess,red cell volume distribution width,model for end-stage liver disease,acute physiology and chronic health evaluation,systemic inflammatory response index,dopamine,norepinephrine,congestive heart failure,diabetes with complications,and metastatic solid tumor were all independent risk factors affecting the prognosis of patients with CA.The receiver operating characteristic curve of the constructed nomogram showed good discrimination,and the decision curve analysis indicated that it had good clinical applicability.Conclusion The constructed nomogram model has certain clinical application value in identifying populations with good and poor prognosis,providing an auxiliary reference for the termination of resuscitation and post-resuscitation treatment.

Objective To construct a prognostic model for patients with in-hospital cardiac arrest(CA)to evaluate their short-term and long-term prognosis and provide a reference for clinical decision-making.Methods Data of in-hospital CA patients were extracted from the Medical Information Mart for Intensive Care Ⅳ 2.2 database,and randomly divided into training set and validation set at a 7∶3 ratio.A predictive nomogram model was constructed in the training set via multivariate COX regression analysis,and internally validated using the validation set.Results A total of 1787 patients were included(1250 in training set and 537 in validation set).Univariate regression,LASSO regression,and multivariate COX regression analyses identified age,body weight,base excess,red cell volume distribution width,model for end-stage liver disease,acute physiology and chronic health evaluation,systemic inflammatory response index,dopamine,norepinephrine,congestive heart failure,diabetes with complications,and metastatic solid tumor were all independent risk factors affecting the prognosis of patients with CA.The receiver operating characteristic curve of the constructed nomogram showed good discrimination,and the decision curve analysis indicated that it had good clinical applicability.Conclusion The constructed nomogram model has certain clinical application value in identifying populations with good and poor prognosis,providing an auxiliary reference for the termination of resuscitation and post-resuscitation treatment.

Objective To analyze the effects of immediate multi-vessel percutaneous coronary inter-vention(MV-PCI)and staged vascular intervention(Staged-PCI,immediate PCI for culprit-only followed by a delayed treatment of all other lesions)on the prognosis in elderly patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A total of 417 elderly acute STEMI patients who underwent PCI in Baoding First Central hospital from January 2021 to June 2023 were enrolled,and according to different treatment strategies,they were divided into MV-PCI group(87 cases)and Staged-PCI group(330 cases).A propensity score matching(PSM)model was established based on baseline data of the two groups,there were 84 cases in each group.During a mean follow-up period of 13.5 months,with the occurrence of main adverse cardi-ovascular and cerebrovascular events(MACCE)as endpoint,the incidence of MACCE was com-pared between the two groups after PSM.Cox proportional hazard regression model was used to analyze the risk factors of MACCE.Results Before PSM,there were significant differences be-tween the two groups in terms of age,proportions of hypertension,diabetes and hyperlipidemia,family history,stroke history,peripheral artery disease,preoperative SBP,lesion vessels(such as left anterior descending branch and left circumflex branch),and number of non-diseased vessels(P＜0.05).Kaplan-Meier survival curve showed that the incidences of MACCE and all-cause mor-tality were significantly lower in the MV-PCI group than the Staged PCI group(Plog rank＜0.05).Multivariate Cox proportional hazard regression model showed that MV-PCI was a protective prognostic factor for MACCE(HR=0.263,95％CI:0.105-0.659,P=0.004)and all-cause death(HR=0.236,95％CI:0.007-0.722,P=0.016).Conclusion MV-PCI can significantly improve the prognosis of elderly patients with acute STEMI with multivessel disease.

Objective To investigate the effects of Osteoking on hyperglycemia and regulating gut microbiota in db/db mice.Methods Wildtype mice were used as the control group,and db/db mice were randomly divided into model and Osteoking groups.After intragastric administration for 12 weeks,fasting blood glucose and serum glycosylated hemoglobin and insulin levels were measured,changes in intestinal microflora were determined,and functional pathways related to intestinal microflora in mice were predicted by 16S rDNA sequencing.Results Compared with the model group,Osteoking decreased fasting blood glucose(P<0.01),serum glycosylated hemoglobin(P<0.01),and the insulin resistance index(P<0.01),and increased insulin content(P<0.01)in db/db mice.Osteoking increased the abundance of beneficial intestinal microflora and decreased the abundance of harmful bacteria.Moreover,the abundance of Marvinbryantia was increased.Osteoking alleviated the decrease in metabolism of D-arginine and D-ornithine,sphingolipid,and galactose metabolism(P<0.05)and inhibited lysine degradation,the sulfur relay system,and propanoate metabolism(P<0.05).Conclusions Osteoking has hypoglycemic properties and improves the intestinal microflora imbalance in db/db mice.

Objective:To explore the current situation of nursing human caring in hospital wards and analyze its influencing factors, so as to facilitate the development of nursing human caring practice.Methods:From July to November 2022, a total of 107 hospitals were surveyed through stratified convenience sampling method, and 4 072 ward nursing managers were recruited to finish the general information questionnaire and the ward nursing human caring status questionnaire. The general information included the region, class and type of the hospital, etc. The ward nursing human caring status questionnaire included 38 items in 5 dimensions of nursing human caring system and process, humanistic quality and training of nursing staff, humanistic environment and facilities, human caring procedures and measures, and human caring quality evaluation and improvement, with a full score of 190 points. Descriptive statistics were used to analyze the general data, independent samples t-test, ANOVA and correlation analysis were used to analyze the factors influencing the current status of nursing human caring in the ward, while multiple linear regression analysis was used to conduct a multivariate analysis. Results:The score of nursing human caring in hospital wards was 156.91±27.78. Whether the hospital had carried out nursing human caring pilot(demonstration) wards, whether the ward had previously been a hospital nursing human caring pilot(demonstration) nursing unit, the type of ward, and whether nursing managers had participated in human caring training were the influencing factors of the implication of nursing humanistic caring in wards( P<0.05). Conclusions:The practice of nursing human caring in hospital wards is at a good level, but needs to be further strengthened. Nursing managers should take systematically strategies to promote the development of nursing human caring practice.

OBJECTIVE: To assess the association of polymorphisms of rs3819024 and rs8193037 loci in the promoter region of IL-17A gene with the risk of ischemic stroke (IS) among ethnic Han Chinese from Guangxi. METHODS: The polymorphisms of rs3819024 and rs8193037 loci were detected by a SNaPshot assay and DNA sequencing among 392 IS patients and 443 healthy controls with matched age and gender. RESULTS: The genotypes, dominant model, recessive model, and alleles of rs3819024 polymorphisms showed no significant difference between the two groups, with the P values calculated as 0.150, 0.227, 0.125, 0.594 and 0.202, respectively, and OR (95% CI) as 1.27(0.92-1.74), 1.28(0.86-1.91), 1.27(0.94-1.72), 1.10(0.78-1.54), and 1.13(0.94-1.38), respectively. The genotypes, dominant model, recessive model, and alleles of rs8193037 polymorphisms also showed no significant difference between the two groups, with the P values calculated as 0.722, 0.352, 0.863, 0.345 and 0.969, respectively, and OR (95% CI) as 0.94(0.65-1.35), 2.25(0.41-12.35), 0.97(0.68-1.38), 2.27(0.41-12.48), and 1.01(0.72-1.40), respectively. CONCLUSION Polymorphisms of the rs3819024 and rs8193037 loci of the IL-17A gene are not associated with the susceptibility to IS among ethnic Han Chinese from Guangxi.
Alleles ; Asian Continental Ancestry Group ; Brain Ischemia ; genetics ; Case-Control Studies ; China ; Gene Frequency ; Genetic Predisposition to Disease ; Genotype ; Humans ; Interleukin-17 ; genetics ; Polymorphism, Single Nucleotide ; Stroke ; genetics

Objective To investigate the distribution of the polymorphisms rs1491033A/C and rs1813389A/G in the promoter region of the miR-17-92 gene cluster in a normal population of Guangxi and compare this distribution with that in different ethnic groups. Methods We detected the genotypes of rs1491033A/C and rs1813389A/G of 275 people from Guangxi using the SNaPshot technique and DNA sequencing. We then analyzed the genotype and allele frequency distribution differences among different genders and groups. Results Three genotypes,AA,AC,and CC,were found for rs1491033A/C with frequency distributions of 21. 1％,53. 1％,and 25. 8％, respectively. There were significant differences in genotype and allele frequencies of rs1491033A/C between the Guangxi population and those of Europe and Africa,as published in the International HapMap project (P < 0. 05). Three genotypes,AA,AG,and GG were observed for rs1813389A/G with frequency distributions of 40. 0％,50. 2％,and 9. 8％,respectively. There were significant differences in the genotype and allele frequencies of rs1813389A/G between the Guangxi population and those of Europe,Beijing,Japan,and Africa (P <0. 05). However,there were no significant differences in genotype or allele frequencies of the rs1491033A/C or rs1813389A/G polymorphisms between genders in the Guangxi population (P > 0. 05). Conclusion There are different distributions of the rs1491033A/C and rs1813389A/G polymorphisms in the miR-17-92 gene cluster in different races and regions.

Objective To observe the protective effect of the traditional Chinese medicine prescription, Jiu Nao Yi Zhi water extract, on human neuroblastoma SH-SY5Y cell line, its effect on expression of insulin signal transduction pathway, and to explore the related mechanisms.Methods SH-SY5Y cells cultured in vitro, were divided into control group, Jiu Nao Yi Zhi No.1 prescription group and No.3 prescription group.The doses were 0.0625 mg/mL, 0.125 mg/mL, 0.25 mg/mL, 0.5 mg/mL and 1 mg/mL.The thiazolyl blue ( MTT) metabolic rate of each group was determined.The dose of 0.125 mg/mL was chosen for cell immunofluorescence analysis, and to observe the expression of insulin receptor substrates-1 ( IRS-1 ) , cAMP response element binding protein ( CREB ) , and the factors of insulin signal transduction pathway.Results Compared with the control group, MTT metabolic rates of the Jiu Nao Yi Zhi groups were significantly increased (P<0.05), and the cell morphology was much better in those groups, cell body more plump, well-adherent and neurite extensions were observed.The expressions of IRS-1 and CREB were higher than that in the control group.Conclusions The traditional Chinese medicine prescription Jiu Nao Yi Zhi water extract can protect neurons by promoting nerve cell growth, and improving the expression of IRS-1 and CREB, the factors of insulin signal transduction pathway.