Abstract
Background: Acute chemical poisoning is a significant global health problem. Chemical poisons include agrochemical, household and industrial poison subtypes. The present study used a probabilistic model based on age, gender and type of poison consumed by the patient to predict the outcome in acute suicidal poisoning cases. Material and methods: A prospective observational study was conducted at emergency department of SMS Hospital, Jaipur, India, from January 2019 to February 2020. Patients over 15 years of age with poisoning severity score 2 or above were included in the study. Probabilistic model was used to predict the outcome measured in terms of cure, death and left against medical advice (LAMA) using Minitab 14. Results: Poisoning cases were 0.32 % of all emergency presentations. Out of them, 857 (59.6 %) had consumed chemical poison. Their mean age was 32 years and men to women ratio was 1.22. Agrochemical subtype was most common followed by household and industrial poisoning. Analysis by Probabilistic model showed that person between 30-60 years is more likely to be cured and chances of death and LAMA are highest in age group 60-75. Gender-wise, men have higher possibility for recovery. Besides, a person has highest chances of recovery in case of household poisons; death is most common in industrial poisons and LAMA in agrochemical poisons. Conclusion: The study concluded that in poisoning, patients' basic information like age, gender, type of poison consumed can be used to identify high death probability and LAMA risk patients. It will assist in designing and monitoring the most effective strategies for them.
Highlights
Poison is any substance that by means of its exposure due to ingestion, inhalation or contact can injure, kill, or impair normal physiological function in humans and produce general or local damage in the body.[1, 2] Acute poisoning either with single or multiple exposures within 24 hours is a significant global health problem responsible for large number of emergency presentations.[3]
Probabilistic model to predict the outcome in acute suicidal chemical poisoning cases from age and gender of patient and type of chemical poison consumed
All patients above 15 years of age presenting as acute suicidal poisoning cases of chemical subtype and belonging to grades 2 or above for The poisoning severity score (PSS) at the time of presentation were included in the study after patient’s own or their guardian’s consent was obtained
Summary
Poison is any substance that by means of its exposure due to ingestion, inhalation or contact can injure, kill, or impair normal physiological function in humans and produce general or local damage in the body.[1, 2] Acute poisoning either with single or multiple exposures within 24 hours is a significant global health problem responsible for large number of emergency presentations.[3]. Probabilistic model to predict the outcome in acute suicidal chemical poisoning cases from age and gender of patient and type of chemical poison consumed. The present study used a probabilistic model based on age, gender and type of poison consumed by the patient to predict the outcome in acute suicidal poisoning cases. Conclusion: The study concluded that in poisoning, patients’ basic information like age, gender, type of poison consumed can be used to identify high death probability and LAMA risk patients. It will assist in designing and monitoring the most effective strategies for them
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
