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Predicting Factors Associated with Large Amounts of Glyphosate Intoxication in the Early-Stage Emergency Department: QTc Interval Prolongation
Journal of The Korean Society of Clinical Toxicology ; : 130-135, 2020.
Article in English | WPRIM | ID: wpr-893446
ABSTRACT
Purpose@#Taking large amounts of glyphosate is life-threatening, but the amounts of glyphosate taken by patients for suicide are not known precisely. The purpose of this study was to find the predictors of large amounts of glyphosate ingestion. @*Methods@#This retrospective study analyzed patients presenting to an emergency department with glyphosate intoxication between 2010 and 2019, in a single tertiary hospital. The variables associated with the intake amounts were investigated. The parameters were analyzed by multivariate variate logistic regression analyses and the receiver operating characteristic (ROC) curve. @*Results@#Of the 28 patients with glyphosate intoxication, 15 (53.6%) were in the large amounts group. Univariate analysis showed that metabolic acidosis, lactic acid, and corrected QT (QTc) interval were significant factors. In contrast, multivariate analysis presented the QTc interval as the only independent factor with intoxication from large amounts of glyphosate. (odds ratio, 95% confidence interval 1.073, 1.011-1.139; p=0.020) The area under the ROC curve of the QTc interval was 0.838. @*Conclusion@#The QTc interval is associated significantly with patients who visit the emergency department after being intoxicated by large amounts of glyphosate. These conclusions will help in the initial triage of patients with glyphosate intoxication.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Observational study / Prognostic study Language: English Journal: Journal of The Korean Society of Clinical Toxicology Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Observational study / Prognostic study Language: English Journal: Journal of The Korean Society of Clinical Toxicology Year: 2020 Type: Article