1.Research progress on nursing-sensitive quality indicators for acute poisoning patients
Ying LI ; Jing WEI ; Hua XU ; Ya ZHANG ; Xiangguang YIN ; Mingjie ZHAO ; Jing WANG
Chinese Journal of Modern Nursing 2024;30(30):4191-4196
This article provides a review of domestic and international research on nursing-sensitive quality indicators (NSQIs) and evaluation systems for acute poisoning patients. It organizes the indicators into three dimensions based on the "structure-process-outcome" framework. The need for establishing a unified, comprehensive, and nationally suitable system of NSQIs in China is emphasized to standardize nursing practices and improve the monitoring of care quality. Although existing indicators possess some scientific validity, they often overlap with emergency nursing quality evaluation systems or are limited to specific types of poisoning. In addition, large-scale clinical trials to test their practical application and accessibility have yet to be conducted. This review aims to consolidate and analyze NSQIs for acute poisoning patients and provide a foundation and reference for improving the quality of nursing care for these patients.
2.Development and validation of models to predict serosal invasion in advanced gastric cancer using the enhanced CT imaging-based radiomics features and clinical features
Cuixia WAN ; Xiangguang CHEN ; Zhiqi YANG ; Ting DONG ; Sheng ZHANG ; Guihua JIANG
Chinese Journal of Medical Physics 2023;40(12):1518-1522
Objective To explore the predictive value of the enhanced CT imaging-based radiomics model and the clinical model for the serosal invasion in advanced gastric cancer.Methods The data were collected from 351 patients with advanced gastric cancer who underwent abdominal enhanced CT examination within 2 weeks before surgery,and the patients were randomly divided into a training group(n=247)and a validation group(n=104)in a ratio of 7:3.The 3190 radiomics features which were extracted from the arterial and venous phase CT images using A.K software were dimensionally reduced for constructing a radiomics model.The pathological features between serosal invasion positive and negative groups were compared,and the significant features were used to establish a clinical model.The model's performance was evaluated using receiver operating characteristic curve.Results In the training and validation groups,N staging and M staging were different in serosal invasion positive and negative groups(P<0.05).A total of 14 radiomic features were ultimately selected from the arterial and venous phase images.In the validation group,the diagnostic efficacy of the radiomic model for predicting serosal invasion in advanced gastric cancer was higher than that of the clinical model based on the combination of N staging and M staging(AUC:0.854 vs 0.793).Conclusion Both the radiomics model based on the enhanced CT imaging and the clinical model based on the combination of N staging and M staging can successfully predict serosal invasion in advanced gastric cancer,but the former performs better.
3.Research progress on sex-hormone-like effects of epimedium
Haizheng WANG ; Qi ZHANG ; Wen CHEN ; Xiangguang YANG ; Fei CHEN ; Wei ZHUANG ; Li ZHU
International Journal of Traditional Chinese Medicine 2022;44(4):465-468
Epimedii folium is a commonly used Traditional Chinese Medicine (TCM) for warming the kidney and strengthening the yang qi. It has androgen-estrogen-like effect. It can not only directly act on sexual organs to regulate hormone levels, but also exert sex-hormone-like effect through hypothalamus-pituitary-gonadal axis. Its regulation of hormone levels is similar to that of plant hormones. At present, Epimedii folium is commonly used with other TCMs to treat diseases caused by sex-hormone deficiency, such as male spermatopenia, asthenospermia, benign prostatic hyperplasia, functional erectile dysfunction, female premature ovarian failure, perimenopausal syndrome, dysfunctional infertility during ovulation, hyperandrogenemia of PCOS patients, etc.
4.Hair Growth Promoting Effects of 650 nm Red Light Stimulation on Human Hair Follicles and Study of Its Mechanisms via RNA Sequencing Transcriptome Analysis
Kai YANG ; Yulong TANG ; Yanyun MA ; Qingmei LIU ; Yan HUANG ; Yuting ZHANG ; Xiangguang SHI ; Li ZHANG ; Yue ZHANG ; Ji’an WANG ; Yifei ZHU ; Wei LIU ; Yimei TAN ; Jinran LIN ; Wenyu WU
Annals of Dermatology 2021;33(6):553-561
Background:
Androgenetic alopecia (AGA) leads to thinning of scalp hair and affects 60%~70% of the adult population worldwide. Developing more effective treatments and studying its mechanism are of great significance. Previous clinical studies have revealed that hair growth is stimulated by 650-nm red light.
Objective:
This study aimed to explore the effect and mechanism of 650-nm red light on the treatment of AGA by using ex vivo hair follicle culture.
Methods:
Human hair follicles were obtained from hair transplant patients with AGA. Hair follicles were cultured in Williams E medium and treated with or without 650-nm red light.Real-time RT-PCR and immunofluorescence staining were used to detect the expression level of genes and proteins in hair follicles, respectively. RNA-sequencing analysis was carried out to reveal the distinct gene signatures upon 650 nm treatment.
Results:
Low-level 650 nm red light promoted the proliferation of human hair follicles in the experimental cultured-tissue model. Consistently, 650 nm red light significantly delayed the transition of hair cycle from anagen to catagen in vitro. RNA-seq analysis and gene clustering for the differentially expressed genes suggests that leukocyte transendothelial migration, metabolism, adherens junction and other biological process maybe involved in stimulation of hair follicles by 650-nm red light treatment.
Conclusion
The effect of 650-nm red light on ex vivo hair follicles and the transcriptome set which implicates the role of red light in promoting hair growth and reversing of miniaturization process of AGA were identified.
5.TheapplicationofspectralvirtualnonGcontrastCTinthyroiddiseases
Zhiqi YANG ; Xiaofeng CHEN ; Xiangguang CHEN
Journal of Practical Radiology 2019;35(3):455-458
Objective ToinvestigatethefeasibilityofspectralvirtualnonGcontrast(VNC)takingtheplaceoftruenonGcontrast (TNC)inthyroiddiseases.Methods CTimagesof30patientswiththyroiddiseasewerecollected,includingTNC,spectraldualGphase contrastandconventionaldelayedcontrastimaging.36lesionswithcorrespondingsurgeryandpathologicalconditionswereselected forretrospectiveanalysis.Theradiationdose,imagequality,meanCTvalues,SNRanddiagnosticefficacybetweenTNCand VNC werecompared.Results Theeffectivedose(ED)andtotaldoseGlengthproduct(DLP)ofthespectraldualGphasecontrastscanswere bothsignificantlylowerthanthoseofTNCincombinationwithconventionaldualGphasecontrast(P<0.05).Thesubjectivequality scoreofVNCwasslightlylowerthanthatofTNC (P<0.05),howeveritwasacceptableforradiologistwithascoreabove3.The SNRofVNCimageswassignificantlylowerthanthatofTNC (P<0.05).The meanCTvaluesofVNCimageswerelowerthan thoseofTNCimagesbutwithoutasignificantdifference(P>0.05).TheabilityofVNCtodelineatenecrosis,calcification,andlymph nodemetastasisinthelesionwasconsistentwithTNC (k>0.75).Conclusion TheimagequalityofVNCissatisfiedinthediagnosis ofthyroiddiseases.VNChassimilardiagnosticefficacytoTNCwitheffectivelyreducdingradiationdose,whichisapromisingclinical application.
6. Dynamic contrast-enhanced MRI based radiomics model for predicting the complete pathological response to neoadjuvant chemotherapy of breast cancer
Zhiqi YANG ; Xiaofeng CHEN ; Jiada YANG ; Weixiong FAN ; Xiangguang CHEN
Chinese Journal of Radiology 2019;53(9):733-736
Objective:
To explore the value of dynamic contrast-enhanced MRI (DCE-MRI) based radiomics model in predicting the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) of breast cancer.
Methods:
In this retrospective study, 91 patients who had received NAC and had pathological response results were collected in Meizhou people′s hospital from January 2016 to August 2018. A primary cohort consisted of 63 patients and an independent validation cohort consisted of 28 patients. The patients were divided into pCR group of 23 cases and non-pathological complete response (Non-pCR) group of 68 cases. All the patients underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) before NAC. A list of radiomics features were extracted using the A.K software and the corresponding radiomics signature was constructed. Logistic regression was used to develop the prediction model. The predictive ability of the model was tested by using the area under the curve (AUC) of ROC analysis.
Results:
The discrimination performance of radiomics signature yielded a AUC of 0.750 in the primary dataset and a AUC of 0.789 in the validation dataset. The model that incorporated estrogen receptor (ER), progesterone receptor (PR) and radiomics features was developed, and had an AUC of 0.859 in the primary dataset and an AUC of 0.905 in the validation dataset.
Conclusion
The radiomics predictive model, which integrated with the DCE-MRI based radiomics signature, ER and PR, can be used as a promising and applicable adjunct approach for predicting the pCR to NAC of breast cancer.
7.QuantitativeDCE-MRIparameterscombinedwithADCvalueforevaluationof histopathologicalgradeinpatientswithinvasiveductalbreastcancer
Xiaofeng CHEN ; Weixiong FAN ; Xiangguang CHEN ; Zhiqi YANG
Journal of Practical Radiology 2019;35(7):1058-1061
Objective ToinvestigatethecorrelationandthediagnosticefficiencyofquantitativeDCE-MRIparametersandADC valueinhistopathologicalgradeinpatients withinvasiveductalbreastcancer.Methods The DCE-MRIquantitativeparameters (Ktrans,KepandVe),semiquantitativeparameters(W-in,W-outandTTP)andtheADCvaluewereanalyzedandcomparedaccording bydifferenthistopathologicalgradein90invasiveductalbreastcancerpatients.Results ThemeanvalueofKtrans washigheringradeⅢgroupthanthatingradeⅡgroup,andthemeanvalueofADCwasloweringradeⅢgroupthanthatingradeⅡgroup.Thedifferenceswere statisticallysignificant(P<0.05),butthecorrelationswereweak(|r|<0.30).TherewerenostatisticallysignificantdifferencesamongKep, Ve,W-in,W-out,TTPingradeⅡandgradeⅢ (P>0.05).TheAUCofKtrans,ADCandKtranscombinedwithADCwere0.647,0.685 and0.749,respectively.Conclusion TheDCE-MRIquantitativeparametersKtransandADCvaluehavecorrelationswithhistopathologicalgradeof invasiveductalbreastcancer.HigherKtransandlowerADCvalueindicatehigherhistologicalgrade,andKtranscombinedwithADCcould improvethediagnosticefficiency.
8.Rs17042171 at chromosome 4q25 is associated with atrial fibrillation in the Chinese Han population from the central plains
Xu WANG ; Yali NIE ; Shuwei NING ; Yong SHI ; Yujie ZHAO ; Siquan NIU ; Chengxian GUO ; Xiangguang MENG ; Yiqiang YUAN
Journal of Central South University(Medical Sciences) 2018;43(6):594-603
Objective:To determine the correlations of single nucleotide polymorphisms (SNPs) with atrial fibrillation (AF) in the Chinese Han population from the central plains.Methods:A total of 168 hospitalized patients,including 56 AF and 112 controls,were recruited in this case-control study.The clinical data were obtained from the medical records.All 5 SNPs,rs337711 in KCNN2,rs11264280 near KCNN3,rs17042171 near PITX2,rs6771157 and rs6795970 in SCN10A,were genotyped using amplification refractory mutation system-polymerase chain reaction or direct sequencing.The x2 test was used to compare categorical variables and preliminarily examine correlations between the genotype frequencies and AF.Subsequently,a logistic regression model was constructed to determine the associations between the SNPs and AF based on the above screened results.Odds ratios (ORs) and 95% confidence interval (CI) were calculated to assess the strength of the correlations.Moreover,we downloaded the genotype data from the HapMap Project for linkage disequilibrium analysis ofrs17042171.Results:AF patients were likely to be of older age and longer left atrial diameter and had more coronary artery disease and higher hypertension compared with the control group (P<0.05).Among the 5 SNPs,the frequency distribution of genotype AA for rs17042171 was significantly different between the AF and control groups (P<0.05).After adjusting for several covariates,there was still a high risk ratio in patients with the AA genotype compared with the AC+CC genotype (OR:5.591,95%CI 2.176 to 14.365,P-B<0.008).Similarly,stratification analysis on the AA genotype demonstrated significant differences between rs17042171 and persistent AF.However,there were not significant correlations between AF and the control groups for the other 4 SNPs (P<0.05).Conclusion:Rs17042171,near PITX2 on chromosome 4q25,is associated with AF susceptibility in the Chinese Han population from the central plains,suggesting that this SNP can provide a new strategy for clinical diagnosis in AF patients.
9.Study on expression profile of long non-coding RNA in chronic thromboembolic pulmonary hypertension
Xiaowei HU ; Pixiong SU ; Yan LIU ; Xitao ZHANG ; Jun YAN ; Xiangguang AN ; Song GU
Chinese Journal of Thoracic and Cardiovascular Surgery 2018;34(8):487-490
Objective To investigate the aberrant expression of long non-coding RNA(lncRNA) in chronic thromboembolic pulmonary hypertension,and explore the lncRNA role in pathogenesis of CTEPH.Methods A total of 5 pulmonary artery endarterium tissue of CTEPH patients and 5 pulmonary artery endarterium tissue of healthy controls were collected.Using high-throughput gene microarray technology to detect two groups of lncRNA and mRNA expression spectrum,build lncRNA-mRNA express network,Pathway and GO analysis to explore the gene function.Results Differential expression of 185 lncRNA was observed in the CTEPH tissues compared with healthy control tissues.Further analysis identified 464 regulated enhancerlike lncRNA and overlapping,antisense or nearby mRNA pairs.Coexpression networks were subsequently constructed and investigated.The expression levels of the lncRNA,NR_036693,NR_027783,NR_033766 and NR_001284,were significantly altered.Gene ontology and pathway analysis demonstrated the potential role of lncRNA in the regulation of central process,including inflammatory response,response to endogenous stimulus and antigen processing and presentation.Conclusion Differentially expressed lncRNA may exert a partial role in CTEPH,the results of this study will help in the future about diagnosis and treatment of CTEPH.
10.Correlation between tumor-associated macrophages and high-risk human papillomavirus infection in cervical cancer
Ruiming YAN ; Xiaojing CHEN ; Wei WANG ; Li LIANG ; Chenfei ZHOU ; Wenfei WEI ; Hongyan YI ; Xiangguang WU ; Guobing LIU ; Mei ZHONG ; Yanhong YU
Journal of Southern Medical University 2018;38(1):101-105
Objective To investigate the correlation between tumor-associated macrophages (TAMs) and the development of high risk human papilloma virus (hr-HPV)-related cervical cancer. Methods A total of 112 cases of cervical tissue were collected, including 16 normal cervical tissues, 55 cervical intraepithelial neoplasia (CIN) tissues and 41 squamous cervical cancer (SCC) tissues. The expression of CD163+ macrophages in the cervical tissues was detected by immunohistochemical method, and the results were analyzed in relation with the clinical data of the patients. Results Immunohistochemical analysis showed that the cell density of CD163+macrophages increased progressively with the increase in the tissue malignancy, in the order of normal cervical tissue, CIN I, CIN II-III, and SCC. Correlation analysis revealed a positive relationship between CD163 + macrophage density and tissue malignancy (P=0.000). The density of CD163 + macrophages was significantly upregulated in HR-HPV-positive SCC tissue (P<0.05). CD163+ macrophages were positively correlated with cervical lymph node metastasis (P=0.005) and FIGO stage (P=0.004) of SCC. Conclusion The expression of CD163+macrophages is positively correlated with malignant transformation of cervical tissues, and hr-HPV infection is significantly correlated with CD163 expression level in the macrophages. CD163+ macrophages can be used as predictors of the occurrence and progression of cervical cancer caused by hr-HPV infection.

Result Analysis
Print
Save
E-mail