Clinical application of serum PCT,hs-CRP and SAA detecting in infectious diseases diagnosis

Objective To explore the value of serum high sensitive-C reactive protein(hs-CRP),procalcitonin(PCT) and serum amyloid-A(SAA) detecting in local and systemic bacterial infection early diagnosis.Methods 150 cases patients with local bacterial infection,120 cases patients with systemic bacterial infection and 82 cases un-infection patients from June 2013 to June 2014 in our hospital were collected.The levels of PCT,hs-CRP,SAA,WBC,Neu%and erythrocyte sedimentation rate(ESR) were detected and the results were analyzed statistically.The diagnosis value to infectious diseases of each index were evaluated by receiver operating characteristic(ROC) curve.Results There were statistical significance in the differences of PCT,hs-CRP,SAA,WBC and Neu%levels except ESR and body temperature among three groups(Pall0.05).The levels of PCT,hs-CRP,SAA,WBC,Neu%in local bacterial infection group and systemic bacterial infection group were all higher than that of un-infection group,and the differences all had statistical significance(Pall0.05).The levels of PCT,hs-CRP,SAA,WBC,Neu%in systemic bacterial infection group were all higher than that of local bacterial infection group,and the differences all had statistical significance(Pall0.05).The area under ROC curve of hs-CRP,PCT,SAA,WBC and Neu%in diagnosis local bacterial infection were 0.668,0.679,0.658,0.796,0.734,respectively.The area under ROC curve of hs-CRP,PCT,SAA,WBC and Neu%in diagnosis systemic bacterial infection were 0.855,0.939,0.788,0.745 and 0.856,respectively.The area under ROC curve of hs-CRP,PCT,SAA,WBC and Neu%in distinguishing systemic bacterial infection and local bacterial infection were 0.722,0.884,0.611.0.595.0.621,respectively.When the cutoff value was 2.72 ng/mL,the sensitivity and specificity of PCT in distinguishing systemic bacterial infection and local bacterial infection were 71.7% and 85.9%,respectively.Conclusion PCT is a good marker for the diagnosis of bacterial infection,especially for distinguishing systemic bacterial infection and local bacterial infection.