Analysis of Poisoning Patients Using 2016 ED Based Injury in-depth Surveillance Data
Journal of The Korean Society of Clinical Toxicology
;
: 86-93, 2017.
Article
in Korean
| WPRIM
| ID: wpr-53375
ABSTRACT
PURPOSE:
Some advanced countries have reported annual statistics for poisoning based on data from poison control centers. This study was conducted to propose a baseline format and statistics of poisoning in Korea from a national representative database.METHODS:
This study was a retrospective analysis of poisoning patients based on data from an emergency department (ED) based injury in-depth surveillance project by the Korea Centers for Disease Control and Prevention in 2016. Bite or sting injuries were not included. Variables related to poisoning were summarized using a similar format as the National Poison Data System in the United States.RESULTS:
A total of 7,820 poisoning patients presented to 23 EDs. Adults ≥20 years accounted for 84% of the population, while the proportion of intentional poisoning was 59.4%. The most common poisoning substances were therapeutic drugs (45%), gas (21%), pesticides (15%), and artificial toxic substances (13%). Overall, 34.5% of patients were admitted for further treatment. The mortality was 3.2% (248 cases), and the most common causative substances were carbon monoxide, glyphosate, and paraquat, in order.CONCLUSION:
This study showed the recent status of poisoning in Korea. However, a comprehensive poisoning registry based on poison control centers may be required to provide more accurate national statistics in the future.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Paraquat
/
Pesticides
/
Poison Control Centers
/
Poisoning
/
United States
/
Bites and Stings
/
Information Systems
/
Carbon Monoxide
/
Retrospective Studies
/
Mortality
Type of study:
Observational study
/
Prognostic study
/
Screening study
Limits:
Adult
/
Humans
Country/Region as subject:
North America
/
Asia
Language:
Korean
Journal:
Journal of The Korean Society of Clinical Toxicology
Year:
2017
Type:
Article
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