The Effect of Symptom Recognition on Pre-hospital Delay in Patients with Acute Coronary Syndrome

PURPOSE: This study was performed to determine the association of symptom recognition with pre-hospital delay in patients with acute coronary syndrome (ACS), and to determine the factors influencing symptom recognition. METHODS: A prospective study from June 1, 2009 to July 31, 2009 was performed. The pre-hospital delay was calculated by subtraction of the hospital-arrival time from the symptom-onset time. The pre-hospital delay of the patients that recognized the symptoms as cardiovascular in origin was compared to the patients that did not recognize the symptoms as cardiac in origin. In addition, the socioeconomic indexes and risk factors were evaluated. RESULTS: Eighty three subjects were enrolled from a total of 205 patients suspected of having an ACS during the study period. No statistical differences were identified in the comparison of the pre-hospital delay by socioeconomic and risk factors of ischemic heart disease. The median pre-hospital delay of the patients that recognized the symptoms as cardiac was 2.9 hours compared to 11.9 hours among the patients that did not recognize the symptoms as cardiac; this difference was statistically significant (p=0.003). There were statistically significant differences in symptom recognition between the patients that had a history of cardiovascular disease and those that did not (p=0.037), and between the patients that took aspirin and those that did not (p=0.014). In addition, the severity of symptoms differed between the patients that recognized their symptoms and those that did not; this difference was statistically significant (p=0.019). Only the severity of symptoms was statistically significant by the logistic regression analysis (p=0.018). CONCLUSION: The pre-hospital delay was shorter, if patients that recognized the symptoms as cardiac in origin. A history of cardiovascular disease, taking aspirin and severity of symptoms were factors influencing the recognition of symptoms.

Predicting the Airway Patency using the Parameters of Soft-tissue Lateral Neck Radiography in Adult Patients with Acute Epiglottitis

PURPOSE: We wanted to predict the high risk group that requires urgent airway intervention by using the parameters of the soft-tissue lateral neck radiographs of adult acute epiglottitis patients. METHODS: This retrospective study was conducted in two teaching hospitals. The patients who were diagnosed with acute epiglottitis from June, 2007 to May, 2009 were enrolled and their medical records and x-ray films were reviewed. The width of the epiglottis at the widest point (EW), the width of the arytenoid at the widest point (AW), the prevertebral soft tissue distance at the third cervical spine (PSTD), the shortest distance from the epiglottis to the hypopharyngeal wall (EHD) and the shortest distance from the epiglottic root to the arytenoids'tip (EAD) were investigated and we performed regression analyses of these parameters of the patients in the high risk group that required urgent airway intervention. RESULTS: A total of 42 patients were enrolled. Dyspnea and hoarseness were more frequent in the high risk group that required urgent airway intervention (p=0.008, 0.040, respectively). The EW was significantly longer (p=0.001) in the high risk group. The EHD and EAD were significantly shorter (p=0.012, <0.001, respectively) in the high risk group. Only the EAD showed significant correlation with the percent of airway patency on linear regression analysis (p=0.003) and the EAD was the only significant predictor for the high risk group on multivariate logistic regression analysis (p=0.043). The receiver operating characteristics curve of the EW/EAD for the high risk group was obtained and it showed the best predictive power (AUC: 0.977, p<0.001). CONCLUSION: The EAD noted on soft-tissue lateral neck radiography is an important predictor of high risk patients who require urgent airway intervention. The cut-off value of the EW/EAD for the predicting the high risk group is 2.44 (sensitivity 100%, specificity 85.7%).