The effects of cardiopulmonary resuscitation (CPR) performed out-of-hospital and in-hospital with manual or automatic device methods and laboratory parameters on survival of patients with cardiac arrest

IRISH JOURNAL OF MEDICAL SCIENCE(2023)

引用 0|浏览3
暂无评分
摘要
Objective Determining the predictive factors for cardiac arrest may be helpful in the management of in-hospital cardiac arrest (IHCA) and out-of-hospital cardiac arrest (OHCA) and in estimating the outcome. Therefore, in the present study, we aimed to investigate the effect of demographic data, cardiopulmonary resuscitation (CPR) initiating setting, compression method, and laboratory parameters on survival from cardiac arrest. Methods A total of 414 patients who met the inclusion criteria were included in the study. Patients were grouped into those who underwent out-of-hospital CPR and those who underwent CPR in the hospital and patients who received automatic compression and those who did not receive. In addition to pH, lactate and bicarbonate in arterial blood gas, CK-MB, troponin, urea, creatinine, calcium, potassium, and glucose were measured. Results The mean age of patients was 70.36±15.68 years, and 170 (41.1%) were female. Although the success rate of CPR in the OHCA group (22.2%) was lower than in the patients in the IHCA group (30.9%), the difference was not statistically significant. There was no difference between the two groups in the comparison of mechanical compression devices and manual compression. In the logistic regression analysis, high pH and low lactate values were found to be independent predictors of survival. Conclusion The results of this study revealed no significant difference between IHCA and OHCA CPR applications and between manual and mechanical compressions in terms of survival in patients with cardiac arrest. In addition, higher pH levels and lower lactate levels measured during CPR were independent predictors of survival.
更多
查看译文
关键词
Cardiac arrest,Compression,In-hospital,Lactate,Out-of-hospital,Survival
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要