Application Of ROC Curve To Explore The Value Of Combined Detection Of Multiple Indicators In The Diagnosis Of Acute Appendicitis

Objective:Application of ROC curve to explore the value of combined detection of multiple indicators in the diagnosis of acute appendicitis.Methods:the clinical data of 79 patients with suspected acute appendicitis admitted to the third Affiliated Hospital of Soochow University and the Changzhou 7th People’s Hospital for surgery from December 2017 to December 2018 were retrospectively analyzed,and the sensitivity and specificity of each observation index were calculated.ROC curve was used to calculate the area under the curve of each detection index.For multiple indicators with diagnostic significance,the prediction probability(M)of the combined detection of multiple indicators was calculated by binary Logistic regression.The ROC curve of the prediction probability(M)of combined detection of multiple indicators is drawn,and the area under the curve of the prediction probability(M)is calculated.Results:The area under the curve(AUC)shows abdominal pain,migration of pain,the right lower quadrant abdominal tenderness,rebound tenderness and muscular defense,fervescence,white blood cell,neutrophil count,neutrophil count ratio,neutrophils-to-lymphocytes ratio,appendix wall thickness,appendix diameter,the inflammation around appendix AUC>0.5,which was corrected with the diagnosis of appendicitis,the difference has statistical significance(P<0.05).The area under the curve of the probability(M)was 0.991,which was significantly correlated with the diagnosis of appendicitis,the difference has statistical significance(P<0.05).Conclusion:Abdominal pain,migration of pain,the right lower quadrant abdominal tenderness,rebound tenderness and muscular defense,fervescence,white blood cell count,neutrophil count,neutrophil count ratio,neutrophils-to-lymphocytes ratio,appendix wall thickness,appendix diameter,the inflammation around appendix are of certain value for the diagnosis of appendicitis.Combined detection of multiple indicators can significantly improve the accuracy of diagnosis and help reduce the negative appendectomy rate for acute appendicitis.