Prognostic nutrition index as a predictor of coronary artery lesions in Kawasaki Disease

Background: Kawasaki Disease (KD) is considered a major acquired heart disease in children under the age of 5. Coronary artery lesions (CAL) can occur in serious cases despite extreme therapy efforts. Previous studies have reported low serum albumin level was associated with disease outcome, but no further investigation was addressed yet. Method: This retrospective (case-control) study randomly included children with KD who were admitted and underwent laboratory tests before undergoing IVIG treatment in this institution, the largest tertiary medical center in southern Taiwan from 2012-2016. PNI, an albumin-based formula product, was evaluated as a predictor of CAL the first time. The progression of CAL was monitored using serial echocardiography for six months. We performed multivariable logistic regression analysis on the laboratory test and PNI with the disease outcome of the KD patients. Result: Of the 284 children, 158 had CAL, including transient dilatation, while the other 126 did not develop CAL during the 6-month follow-up period. A multivariate logistic regression model revealed that PNI and platelet count are significant predictors of CAL with a 95% confidence interval estimator of 2.532 (1.394-4.599) and1.004 (1.002-1.006), respectively. Using PNI to predict CAL presence gave an area under the receiver-operating-characteristics (ROC) curve of 0.596, and the PNI cut-off point is taken as 55.24, with a sensitivity of 0.509 and specificity of 0.678. Conclusion: This is the first study to demonstrate that PNI, an albumin-based formula product, is a useful index with clearly cut-off value for predicting CAL formation prior to initial IVIG therapy and thus warn clinicians to adopt aggressive therapeutic and coronary arteries imaging surveillance strategies before CAL can develop.