Innovative media technology for recognition of cardiac arrest

Abstract

s / Resuscitation 96S (2015) 43–157 149 interleukin 6) and echocardiography to quantify how these variables can help to predict the evolution of patients who developed cardiac arrest. Method: In this study we prospectively analysed a sample of 47 patientswith cardio-respiratory arrest, presented consecutively in the Emergency Unit of the Clinical Emergency County Hospital “St. Spiridon” in the period 1 January to 15 July 2014. Data were collected and analysed using specialized statistical software (SPSS 20.0). Results: Lot analysed included a 70.2% percentage of male patients, the average age in the study group was 65.66±15.45 years. CPC score 4was themost common53.19%, initial rhythmwas asystole-bradyarrhythmia (48.945) and pulseless electrical activity in 14.89%. RCP duration was 21.19±10.98min, cardiopulmonary arrest occurred frequently in the patient’s home only 63.83%. On 95.74% achieved return to spontaneous circulation (ROSC) and of these, 9 patients survived to hospital discharge. The study reveals statistically significant differences between patients who died or not in terms of CPC score (p=0.031), duration CPR (p=0.045), syncope onset event (p=0.035), performing mouth-to-mouth ventilation (p=0.041), echocardiographic parameters of the presence of aortic stenosis (p=0.032) and inferior vena cava diameter as a marker of hypovolemic status (p<0.001), and during CPR: administration of epinephrine (p=0.002), amiodarone (p=0.006) and performing coronary angiography (p=0.039). Conclusions: Assessing the role of inflammatory markers (interleukin-6 and hsCRP) and apoptosis (cytochrome c) in determining prognosis (survival and neurologic) showed no statistically significant relationship. Although well-known difficulties, the study in cardiac arrest patient is the only way to improve survival in this patient population. http://dx.doi.org/10.1016/j.resuscitation.2015.09.354