OBJECTIVE: To investigate the value of an early diagnosis grading model derived from the clinical manifestation, laboratory and imaging data for the diagnosis of aortic dissection (AD). METHODS: An early diagnosis grading model was established based on the clinical manifestation, laboratory and imaging data from 182 AD patients who admitted to our department during the last 3 years, 184 patients with chest and back pain served as controls. RESULTS: The sensitivity and specificity of diagnosing AD with the score of 5 is 96.7% and 81.0%, respectively. CONCLUSION: The emergency diagnose of AD could be improved based on the established early grading model based on the stabbing and severe pain, rapid blood pressure increase, asymmetry of the blood pressure and/or the pulse, widened aortic knob, mediastinum or descending aorta on X-ray, and significantly increased D-dimmer level.
OBJECTIVE: To investigate the value of an early diagnosis grading model derived from the clinical manifestation, laboratory and imaging data for the diagnosis of aortic dissection (AD). METHODS: An early diagnosis grading model was established based on the clinical manifestation, laboratory and imaging data from 182 ADpatients who admitted to our department during the last 3 years, 184 patients with chest and back pain served as controls. RESULTS: The sensitivity and specificity of diagnosing AD with the score of 5 is 96.7% and 81.0%, respectively. CONCLUSION: The emergency diagnose of AD could be improved based on the established early grading model based on the stabbing and severe pain, rapid blood pressure increase, asymmetry of the blood pressure and/or the pulse, widened aortic knob, mediastinum or descending aorta on X-ray, and significantly increased D-dimmer level.