A Novel Tool for Distinguishing Type A Acute Aortic Syndrome from Heart Failure and Acute Coronary Syndrome.
Min Joon SeoJae Hoon LeeYang-Weon KimPublished in: Diagnostics (Basel, Switzerland) (2023)
Type A acute aortic syndrome (urgent AAS, UAAS) has a low incidence and high mortality rate; however, it is often missed or diagnosed late. Our aim was to create a new tool for distinguishing UAAS by using multiple modalities to select patients for CT aortography. This study included 75 patients with UAAS, 77 with acute coronary syndrome (ACS), and 81 with heart failure (HF) who received urgent treatment after propensity matching. Specific symptoms, past medical history, mediastinal width, region of interest (ROI) ratio in the lung base/apex, D-dimers, and troponin I were investigated to differentiate UAAS from ACS and HF. The most significant variables were selected to create a new scoring system. The UAAS score exhibited a performance AUC of 0.982. A simple UAAS score >1, excluding ROI ratios in lung base/apex, showed an AUC of 0.977, a sensitivity of 96%, and specificity of 92.41%. The results were validated using an external data set of 292 patients (simple UAAS score > 1: AUC of 0.966, sensitivity 93.33%, and specificity 95.36%). The simple UAAS score may be a valuable tool for suspecting UAAS and may reduce the likelihood of misdiagnosis or performing unnecessary CT aortography.
Keyphrases
- acute coronary syndrome
- heart failure
- end stage renal disease
- ejection fraction
- left ventricular
- aortic dissection
- liver failure
- healthcare
- percutaneous coronary intervention
- peritoneal dialysis
- antiplatelet therapy
- risk factors
- pulmonary artery
- acute heart failure
- atrial fibrillation
- drug induced
- aortic valve
- contrast enhanced
- lymph node
- magnetic resonance imaging
- coronary artery
- intensive care unit
- image quality
- positron emission tomography
- depressive symptoms
- machine learning
- cardiac resynchronization therapy
- single molecule
- patient reported
- ultrasound guided
- atomic force microscopy
- sleep quality