Published online May 26, 2022. doi: 10.12998/wjcc.v10.i15.4799
Peer-review started: November 6, 2021
First decision: December 27, 2021
Revised: December 31, 2021
Accepted: March 25, 2022
Article in press: March 25, 2022
Published online: May 26, 2022
Processing time: 199 Days and 3.8 Hours
The mortality rate in children with acute paraquat intoxication (APP) was 14.38%-63.6%, the early and accurate prediction of mortality is very important in clinical decision-making for children with APP.
The mortality rate in children with APP was high. The early prediction of mortality is important in clinical decision-making for patients with APP. Therefore, our aim is to optimize a predictive scoring system for mortality in children with APP.
Our aim is to optimize a predictive scoring system for mortality in children with APP, and help doctors to make clinical decisions.
We compared the clinical characteristics between the two groups and analyzed the independent prognostic risk factors. The survival rates were assessed using kaplan-meier survival analysis. The best scoring system was established by using the area under the receiver operating characteristic curve analysis.
Alanine aminotransferase (ALT) and pediatric critical illness score (PCIS) were independent prognostic risk factors for children with APP. The survival rate of children classified as extremely critical patients was significantly lower than that of children classified as critical or noncritical patients. The sensitivity and specificity of ALT combined with PCIS were high.
ALT and PCIS were independent prognostic risk factors for children with APP. ALT combined with PCIS is an optimal predictive mortality scoring system for children with APP.
The results of this study need to be further verified by large-sample and multicenter research.