Epidemiological and Clinical Behavior of Snakebite in the Pediatric Population, Associated with a Logistic Regression Model.
Аннотация
Introduction
Snakebite envenomation is recognized by the World Health Organization (WHO) as a neglected tropical disease. In Colombia, snakebites are frequent due to the diversity of ecosystems and snake species, and children represent a particularly vulnerable population.
Objective
This study aimed to characterize the epidemiological and clinical behavior of snakebite envenomation in the pediatric population and to identify factors associated with its severity through the application of a multinomial logistic regression model.
Methods
An exploratory analysis was conducted on 170 pediatric patients reported to the Public Health Surveillance System (SIVIGILA) and treated at San Jerónimo Hospital in Montería (HSJ). Sociodemographic and clinical data were collected, and a multinomial logistic regression model was applied to identify risk factors associated with the severity of envenomation.
Results
Most cases occurred in children over 12 years of age (51.8%), and males were the most affected. The lower limbs were the most common site of the bite (87.6%). Bothrops was the main genus responsible. Non-medical practices, such as herbal poultices and potions, were reported in 28.2% of cases. Clinically, moderate envenomation was the most frequent (48.2%), with edema (88%) and pain (92%) as the main local manifestations, and nausea (36%) and vomiting (32%) as systemic manifestations. Cellulitis was the most common complication (24%). Student's t-test showed a significant difference between complications and hospital stays lasting 3 to 7 days. The multinomial logistic regression explained 75% of the severity variability and showed that prior non-medical practices increased the risk of severe cases.
Conclusions
Snakebite envenomation in children remains an important public health problem. The statistical model showed that non-medical practices are associated with a higher degree of severity.
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