World Journal of Clinical Cases · 2022 · 11 citations · 31 references
Public HealthChild HealthPediatricsPediatric EpidemiologyRisk AssessmentSurvival AnalysisChild MortalityPediatric ToxicologyPoisoning Risk AssessmentPrognostic AssessmentSurvival PredictionKaplan-meier Survival EstimatesParaquat PoisoningPediatric Risk Prediction ModelsPredictive Risk ScoringPredictive Scoring ModelsPrognostic Factors AnalysisPrognostic Risk AssessmentSurvival Rates
BACKGROUND: There is no suitable scoring system that can be used to predict mortality in children with acute paraquat intoxication (APP). AIM: To optimize a predictive scoring system for mortality in children with APP. METHODS: A total of 113 children with APP from January 1, 2010 to January 1, 2020 were enrolled in this study. These patients were divided into survivors and non-survivors. We compared the clinical characteristics between the two groups and analyzed the independent prognostic risk factors. The survival rates of patients with different values of the pediatric critical illness score (PCIS) were assessed using kaplan-meier survival analysis. The best scoring system was established by using the area under the receiver operating characteristic curve analysis. RESULTS: < 0.05). CONCLUSION: In our study, 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.
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PARAQUAT POISONING: SIGNIFICANCE OF PLASMA-PARAQUAT CONCENTRATIONS
A.T. Proudfoot · The Lancet · 1979 · 338 citations
Predictors of survival after acute paraquat poisoning
Eun Young Lee, Kyu-Yoon Hwang, Jong‐Oh Yang et al. · Toxicology and Industrial Health · 2002 · 110 citations
Toshiya Mitsunaga, Izumu Hasegawa, Masahiko Uzura et al. · PeerJ · 2019 · 103 citations · Full text