1.Rural community health technicians analysis and countermeasures
Zhikun SHEN ; Jinfang QIAN ; Peiyu JIANG ; Mingquan YE ; Chunsheng WANG ; Bing WANG
Chinese Journal of Medical Education Research 2005;0(05):-
From the status quo of medical and health services in rural areas,there exist the following problems:the insufficient number of clinicians,low quality of clinicians,the imbalance of the professional ranks and titles,and aging.Based on investigation and analysis of the rural community health technicians of Huzhou City,Zhejiang Province,the author put forward the new countermeasures of orientation training clinicians in rural communities according to the rural communities residents new demand for medical and health services.
2.Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification
Gao LINGYUN ; Ye MINGQUAN ; Lu XIAOJIE ; Huang DAOBIN
Genomics, Proteomics & Bioinformatics 2017;15(6):389-395
It remains a great challenge to achieve sufficient cancer classification accuracy with theentire set of genes, due to the high dimensions, small sample size, and big noise of gene expressiondata. We thus proposed a hybrid gene selection method, Information Gain-Support Vector Machine(IG-SVM) in this study. IG was initially employed to filter irrelevant and redundant genes. Then,further removal of redundant genes was performed using SVM to eliminate the noise in the datasetsmore effectively. Finally, the informative genes selected by IG-SVM served as the input for theLIBSVM classifier. Compared to other related algorithms, IG-SVM showed the highest classificationaccuracy and superior performance as evaluated using five cancer gene expression datasetsbased on a few selected genes. As an example, IG-SVM achieved a classification accuracy of90.32% for colon cancer, which is difficult to be accurately classified, only based on three genesincluding CSRP1, MYL9, and GUCA2B.
3.Clinical application of multi-marker combined detection model in diagnosing type 4a myocardial infarction
Yujie WU ; Bo DENG ; Mingquan GUO ; Jue WANG ; Ye HE ; Haoyu MENG ; Liansheng WANG
Chinese Journal of Clinical Laboratory Science 2024;42(8):574-579
Objective To compare the diagnostic performance of a multi-marker panel(copeptin,cardiac troponin T[cTnT],and heart-type fatty acid-binding protein[HFABP])with the single marker cTnT in the diagnosis of type 4a acute myocardial infarction(AMI),and explore the application value of combined detectionmodel with the multiple markers.Methods The enrolled non-AMI pa-tients underwent elective percutaneous coronary intervention(PCI)at Nanjing Medical University First Affiliated Hospital during the period from March to December 2022 and were assessed as postoperative elevation of cTnT above the 99th percentile upper reference limit(URL).According to the Fourth Universal Definition of Myocardial Infarction,the patients were divided into non-type 4a AMI group and type 4a AMI group based on whether type 4a AMI occurred after surgery.The concentrations of AMI biomarkers were meas-ured using a chemiluminescent immuno-gold nanoassembly immunosensor array(chemiluminescent immuno-Gold,ciGold).Receiver operating characteristic(ROC)curves were used to analyze the performance of the diagnostic models with single and combined cardiac biomarkers.The sensitivity and specificity were also obtained from the ROC curves,and the area under the ROC curve(AUCROC)was calculated to evaluate respective diagnostic value.Kappa analysis was used to assess the consistency between the results combined de-tection model of multiple biomarkers and the diagnosis based on the Fourth Universal Definition of Myocardial Infarction.Results In this study,a total of 65 patients were included in whom females accounted for 23.1%.The ROC curve indicated that the combined de-tection model of multiple cardiac biomarkers showed specificity of 96.5%,sensitivity of 92.3%,agreement rate of 94.6%,positive pre-dictive value of 92.3%,negative predictive value of 96.2%,and AUCROC of 0.979.The single cTnT diagnostic model showed specificity of 94.2%,sensitivity of 100%,agreement rate of 95.7%,positive predictive value of 100%,negative predictive value of 94.9%,and AUCROC of 0.987.Although the combined detection model of multiple biomarkers had lower sensitivity(P=0.011),it showed higher specificity(P=0.016).The analysis of AUCROC differences between the two diagnostic models showed P>0.05,indicating no signifi-cantly statistical difference for the diagnostic accuracy.Kappa analysis demonstrated a strong consistency between the combined detec-tion model of multiple cardiac biomarkers and the diagnosis of type 4a AMI based on the Fourth Universal Definition of Myocardial In-farction with a Cohen's Kappa coefficient of 0.818.Conclusion The multi-marker combined detection model showed similar perform-ance of cTnT in diagnos of type 4a AMI with strong diagnostic consistency.However,the combined detection model exhibited an advan-tage of higher specificity.
4.Effect of hepatitis B virus infection on patients with hepatic alveolar echinococcoisis after surgical resection
Haiwen YE ; Xiaolei XU ; Lingqiang ZHANG ; Mingquan PANG ; Yong DENG ; Haijiu WANG ; Ying ZHOU ; Li REN ; Cairang YANGDAN ; Lizhao HOU ; Haining FAN
Chinese Journal of Hepatobiliary Surgery 2020;26(5):352-355
Objective:To investigate the effect of hepatitis B virus (HBV) infection in patients with hepatic alveolar echinococcoisis after surgical resection and determine the differences of liver function between patients with different HBV-DNA levels.Methods:Patients were selected from January 2014 to July 2018 in the Affiliated Hospital of Qinghai University. Twenty-eight patients with hepatitis B and hepatic alveolar echinococcoisis were included in the experimental group, and 20 patients with hepatic alveolar echinococcoisis but without hepatitis B virus were included in the control group. Based on HBV-DNA level, the experimental group was divided into low-level group (HBV-DNA level<200 IU/ml, n=6), intermediate-level group (HBV-DNA level 200-20 000 IU/ml, n=15) and high level group (HBV-DNA level>20 000 IU/ml, n=7). Comparison of complications and liver function after liver resection in two groups.Univariate and multivariate logistic regression were used to analyze the influential factors of postoperative complications in patients.Comparison of postoperative liver function indexes in patients with different HBV-DNA levels. Results:In the control group, postoperative total bilirubin 10.6(8.3, 16.9) μmol/L, direct bilirubin 5.3(3.4, 10.0) μmol/L, prothrombin time 13.6(13.0, 15.8)s, and the incidence of complications 25.0%(5/20), were better than the experimental group 12.6(8.4, 46.9) μmol/L, 6.7(3.1, 26.4) μmol/L, 15.4(13.5, 18.1)s, 78.6% (22/28), the differences were statistically significant significance (all P<0.05). Multivariate logistic analysis showed that patients with HBV infection ( OR=4.593, 95% CI: 1.128-18.708) and intraoperative blood loss ≥1 000 ml ( OR=2.200, 95% CI: 1.106-4.378) were the hepatic alveolar echinococcoisis independent risk factors for postoperative complications. There were no significant differences in total bilirubin and albumin between the three groups of patients with different HBV-DNA levels ( P>0.05). Conclusion:Patients with HBV and hepatic alveolar echinococcoisis have worse liver function and are more prone to complications after surgical resection, but there is no significant difference in liver function among patients with different HBV-DNA levels.