Predictive role of sampling-time specific prognostic nutritional index cut-off values for intravenous immunoglobulin resistance and cardiovascular complications in Kawasaki disease.

Xiaoliang Liu,Shuran Shao, Nanjun Zhang,Mei Wu,Lei Liu,Hongyu Duan,Zhongqiang Liu,Kaiyu Zhou, Yimin Hua,Chuan Wang

International immunopharmacology(2022)

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摘要
BACKGROUND:Intravenous immunoglobulin (IVIG) resistance and cardiovascular complications prediction are pivotal topic of interests in Kawasaki disease (KD). The prognostic nutritional index (PNI) has been proposed to be valuable in predicting the severity of inflammatory status and prognosis in clinical circumstances, with limited data in KD. Therefore, we prospectively investigated the role of sampling-time specific PNI cut-off values in predicting initial IVIG resistance as well as cardiovascular complications in patients with KD for the first time. METHODS:A total of 755 patients with KD were prospectively recruited between January 2015 and December 2019. Patients with KD were subgrouped based on the presence of IVIG resistance or cardiovascular complications. The clinical and laboratory parameters were compared. Multivariate logistic regression analysis was performed to identify the independent risk factors for IVIG resistance and cardiovascular complications. The receiver operating characteristic (ROC) curve was further applied to assess the predictive values of PNI in IVIG resistance and cardiovascular complications. RESULTS:The lower level of PNI was identified as independent risk factors for initial IVIG resistance and cardiovascular complications. The discriminating cut-off values of the PNI for IVIG resistance, all cardiovascular complications, CALs, KDSS and myocarditis were 47.8, 52.2, 38.6, 48.2 and 52.0, with the corresponding sensitivities of 0.573, 0.679, 0.174, 0.750, 0.851, and specificities of 0.753, 0.549, 0.957, 0.679 and 0.576, respectively. After sampling time stratification, the sensitivities and specificities of the PNI obtained at the sixth day from fever onset for prediction of both IVIG resistance (0.778, 0.787) and all cardiovascular complications (0.667, 0.753) remarkably improved. CONCLUSION:PNI may serve as a promising predictor for KDSS in patients with KD. PNI obtained at sixth day from fever onset possess good predictive power for both IVIG resistance and all cardiovascular complications in KD.
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