Comparing short- term mortality in opium users and non-users candidate for coronary artery bypass graft surgery

Introduction: Opium addiction is a social and health problem in many parts of the world, including Iran. The exact effects of this substance on the cardiovascular system and postoperative complications are not clear And the results of studies in this regard are also contradictory, Therefore, the present study aims to compare short-term mortality After coronary artery bypass surgery In two groups Opium consumer And non-consumer was done. Methods: This cross-sectional study was performed on 194 patients who were hospitalized during September 2013 to September 2015 In Valiasr Hospital of Birjand, they were under CABG operations conducted. In this study, short-term mortality)Hospital and a month After discharge) Through existing records And phone calls were reviewed. All data were analyzed by SPSS 22 software and analyzed using descriptive and inferential statistics. Results: Of the 194 patients who had undergone surgery twenty-three patients (12.2%) used opioid Among them, In the form of Inhaler, 13 patients (56.5%) orally And 3 patients (13%) was a combination of orally and inhaled. In general, there is a case of mortality during surgery And 7 cases (77.77%) of mortality occurred in the Hospital ward. During the one month follow up, There was a death case. Among the non-addicted patients164 case were alive and 7 died And among addicted patients as well 22 cases were alive And there was a death case. Finally, the results showed, No statistically significant difference between the mortality after surgery, Blood lipids, and diabetes, In two groups Opium consumer And non-consume(p>0/05). But hypertension in the non-addicted group was significantly higher (p <0.05). Conclusions: Based on the results of this study, there was no significant relationship between opioid dependence and short-term mortality in patients after CABG surgery. Due to low sample size and cross-sectional study, The design of cognitive studies with higher sample sizes seems to be necessary in order to discover causal relationships.