Clinical value of combined NLR and PLR detection during the acute phase of Kawasaki disease
Objective To analyze the changes of neutrophil lymphocyte ratio(NLR)and platelet lymphocyte ratio(PLR)in the acute phase of Kawasaki disease(KD)and their clinical value.Methods We selected children diagnosed with KD as KD group(85 cases),from the First Affiliated Hospital of Baotou Medical College,January 1,2017 to August 8,2023,and children with respiratory tract infection characterized by fever(axillary temperature≥37.5℃for≥5 days)as control group(82 cases).The laboratory test indicators of the two groups were compared,including white blood cells(WBC),red blood cells(RBC),hemoglobin(HGB),neutrophils(NEUT),lymphocytes(LYMPH),monocytes(MONO),platelets(PLT),mean platelet volume(MPV),NLR,PLR,mean platelet volume to lymphocyte ratio(MPVLR),C-reactive protein(CRP)and microbiology test results.The independent risk factors of KD were analyzed by binary logistic regression,and the diagnostic efficacy of NLR and PLR was evaluated by ROC curve.Results(1)WBC,NEUT,PLT,NLR,PLR and CRP in KD group were higher than those in control group(P＜0.05),while LYMPH and MPV were lower than those in control group(P＜0.05).(2)There were no significant differences in RBC,HGB,MONO,MPVLR,bacterial infection,viral infection and mycoplasma infection between the two groups(P＞0.05).(3)Binary logistic regression analysis revealed that NLR and PLR were independent risk factors for KD(P＜0.05).(4)ROC curve analysis showed that the sensitivity of NLR,PLR and their combination in predicting the occurrence of KD was 63.90%,65.10%and 62.70%,respectively,while the specificity were 86.30%,77.50%and 86.30%,respectively.AUC values were 0.788,0.765 and 0.824,respectively(P＜0.05).Conclusion The occurrence of KD is associated with pathogenic infections.The higher the NLR to PLR ratio,the greater the risk of KD.The combination of NLR and PLR detection has certain clinical value in diagnosing KD.
Kawasaki diseaseneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratio
NETL
NSTL
万方数据
