Salivary biochemical indices related to early childhood caries / 华西口腔医学杂志

OBJECTIVES@#This study aimed to compare the salivary biochemical indices between caries-free individuals and those with early childhood caries (ECC), and construct a saliva-based caries diagnostic model by analyzing the correlation between salivary biochemical indices and caries severity.@*METHODS@#A total of 120 children aged 4-6 years were selected and divided into two groups: individuals with ECC (C group, @*RESULTS@#The NO@*CONCLUSIONS@#Salivary biochemical indices can contribute to the diagnosis and risk assessment of ECC.

Establishment and evaluation of a novel and non-invasive diagnostic model on cirrhotic patients / 中华肝胆外科杂志

Objective To establish and evaluate a novel and non-invasive diagnostic model using routine laboratory serological indexes in cirrhotic patients.Methods A retrospective study was conducted on 1044 consecutive patients with hepatocellular carcinoma (HCC) treated by hepatectomy in the Affiliated Tumor Hospital of Guangxi Medical University from September 2013 to December 2016.These patients were divided into a training cohort (n =783) and a validation cohort (n =261) using the 3 ∶ 1 matching principle.Logistic regression analysis was used to identify independent risk factors related to occurrence of cirrhosis in the training cohort,and then a PPH score was established.The accuracy of the model in predicting cirrhosis in two groups was evaluated respectively by the area under the receiver operating characteristic curve (AUC) and goodness of fit,and compared with the following commonly used predictive systems:the model for endstage liver disease (MELD) score,fibrosis index based on 4 factor score (FIB-4),Forns score and aspartate aminotransferase to platelet ratio index score (APRI).Results Univariate and multivariate Logistic regression analysis in the training cohort showed prothrombin time,platelet count and hepatitis B surface antigen positivity were closely related to occurrence of cirrhosis.The accuracy of the PPH score (AUC =0.705) in diagnosing cirrhosis in the training cohort was significantly better than the MELD score (AUC =0.557),APRI score (AUC =0.598),FIB-4 score (AUC =0.597) and Forns score (AUC =0.665).Similar results were obtained in the validation cohort (AUC:0.702 vs 0.554 vs 0.624 vs 0.634 vs 0.580).The goodness of fit indicated that there was no significant difference between the actual and predicted values of cirrhosis in the two cohorts,and the model was in good agreement.Conclusions A novel and non-invasive model for the diagnosis of cirrhosis was successfully established.The accuracy of this model in diagnosing cirrhosis was better than the MELD,APRI,Fib-4 and Forns scores.This model has significance in guiding clinical treatment decision in HCC patients with cirrhosis.

Establishment and research of Kawasaki disease diagnosis model / 国际儿科学杂志

Objective To establish a Kawasaki disease mathematical diagnosis model in order to sup-port clinical decision-making. Methods Children with fever admitted to Shanghai Children's Hospital from Jan-uary 2013 to July 2017 were recruited and were divided into Kawasaki disease group and other disease control groups according to the final clinical diagnosis. The general clinical information and laboratory indicators were compared,a mathematical model was established and evaluated through the logistic regression analysis. Results A total of 1916 children were enrolled in this study,with an average age of 3. 47 ± 2. 83 years. Of these,1085 (56. 6％) were male,831 (43. 4％) were female,479 (25. 0％) were diagnosed with Kawasaki disease and 1099 (75. 0％) were with other diagnosis. Logistic regression analysis included dependent variables and inde-pendent variables,and the results showed that the Hosmer and Lemeshow test of this model was P=0. 944,the difference was not significant,indicating that the fitting equation and the true equation without deviation; age , fever days,ESR,CRP,WBC,ALB and DD dimers were independent risk factors for Kawasaki disease. The pre-dictive equation of Logistic regression is:ln P1-p( )= -7. 337 +2. 163 × CRP+1. 56 × DD+1. 612 × ESR+1. 392+age+1. 724 × days of fever +2. 295 × WBC +0. 808 × ALB. The patient model score and the ROC curve was calculated. The area under the curve was 0. 927 (95％ CI:0. 905-0. 950). When the score was 9,the Youden index was the highest(72. 9％),the sensitivity and specificity were 89. 7％ and 83. 2％. Conclusion The Kawasaki disease diagnosis mathematical model established in this study has good diagnostic efficacy,which need to be confirmed by further large-scale,multicenter studies.

Construction of prostate cancer diagnosis model based on high throughput sequencing data / 中华泌尿外科杂志

Objective We used the dataset base on high throughput sequencing data to construct a diagnosis model by ANN and GA.Methods We screened the Taylor_prostate datasets from GEO according to,then we used the GA to screen the datas further. Finally we used the ANN to analyze the datas and construct a diagnosis model. To validate the model,we used 10-folds crossvalidation as the inner validation and the datas from Grasso dataset( GPL6480 and GPL6848) were used as the outter validation.Results We got 5 genes ACADL,ACTG2, CACNA2D1,PCP4 and SPARCL1.And we used spss to get the AUC of the model which is 94.62.The result of validation is good.Conclusion The performance of the model is good because the AUC is larger than 0.5.

Analysis of Diagnosis Value on S Index Evaluating Slight Chronic Hepatitis B Fibrosis / 浙江中医药大学学报

Objective] To observe the diagnosis value of noninvasive diagnosis model S index used to evaluate the fibrosis degree of slight chronic hepatitis B(CHB). [Method] Trace back and investigate the routine serological indicators GGT, PLT, ALB and liver aspiration biopsy results of 63 cases of CHB;use noninvasive diagnosis formula to calculate:S index=1000×GGT/(PLT×ALB2),use ROC curve to analyze and evaluate the clinical diagnosis value of S index. [Result] S index is in positive relation with liver fibrosis degree. S index can forecast the fibrosis having or not with best truncation point 0.04h, the sensitivity 87.0%, specificity 47.5%and area under the curve(AUC) 0.690,close to 0. 7; in forecasting obvious fibrosis, with best truncation point 0.04h, sensitivity 100%,specificity 36.8%,AUC 0.664. [Conclusion] S index used for forecasting slight CHB having or not fibrosis has high value of diagnosis, but it has low correctness for diagnosing having or not obvious liver fibrosis.