Amirhossein Rismanchian - Young Researchers and Elite Club, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
Nastaran Eizadi Mood
Ali Mohammad Ahadi - Department of Genetics, Faculty of Science, Shahrekord University, Shahrekord, Iran
Ali Mohammad Sabzghabaee - Department of Clinical Toxicology, Isfahan University of Medical Sciences, Isfahan, Iran

Background and Aim : Poisoning is caused by exposure to a harmful substance. People who have a drug overdose are at a very high risk for another one after recovering from illness and discharge from the hospital. Emergency departments have a unique role in saving lives of overdose patients who have experienced Opioid overdoses by focusing on the predictive factors for treatment outcomes and monitoring this group of poisoned patients. One of the common poisonings in Iran is poisoning with Opium and its derivatives. Opium was used as a sedative and analgesic since distant past, but over the years, this application has led to a dramatic increase in opioid abusers. Therefore, the treatment outcomes and their predictive factors will help to choose an effective approach and management in emergency centers.Methods : To this end, analyzed clinical, vital and genetic factors were studied in 60 opioid poisoned patients who had been referred to Khorshid Hospital Emergency Department. After receiving personal consent, 10 ml of blood sample was taken from each patient. The clinical symptoms and vital signs were registered, and genetic factors containing rs1799971 polymorphism were analyzed by polymerase chain reaction. In order to discover the relationship between demographic characteristics, patients’ medical records, history information and predictive factors were also studied. Data were evaluated through Statistical Package for the Social Sciences Software. This research was conducted by obtaining permission from the Committee for Ethics in Medical Sciences Research, and it was supervised by Isfahan University of Medical Sciences.Results : The results of this study were analyzed by Binary Logistic Regression, and were confirmed, period of time between use of opioids to receive the first medical treatment in the emergency department, underlying disorders, respiratory rate and body temperature are predictive factors for treatment outcomes. The P values were obtained equal to 0/022, 0/026, 0/039 and 0/032.Conclusion : In this study, we identified predictive factors for treatment outcomes in opioid poisoned patients that ameliorate the quality of clinical management of these patients. Limitations of our study included the number of patients, research budget, varied and incomplete data documentation. It is suggested that further studies be conducted to determine these factors with a larger sample size and more research funding.

Opioid, Poisons, Polymorphism, Signs and symptoms, Treatment outcome