An In-Hospital Mortality Prediction Model for Acute Pesticide Poisoning in the Emergency Department.

ABSTRACT: Pesticide poisoning remains a significant public health issue, characterized by high morbidity and mortality, particularly among patients presenting to the emergency department. This study aimed to develop a 14-day in-hospital mortality prediction model for patients with acute pesticide poisoning using early clinical and laboratory data. This retrospective cohort study included 1056 patients who visited Soonchunhyang University Cheonan Hospital between January 2015 and December 2020. The cohort was randomly divided into train (n = 739) and test (n = 317) sets using stratification by pesticide type and outcome. Candidate predictors were selected based on univariate Cox regression, LASSO regularization, random forest feature importance, and clinical relevance derived from estab

SUBMITTER: Jeon Y 

PROVIDER: S-EPMC12567830 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature