BACKGROUND: In Stanford B acute aortic dissection (AAD), medical treatment is the choice of therapy in the acute phase, however, a portion of patients experience complications caused by serious clinical outcomes including aortic rupture and abdominal visceral ischemia. The objective of this study was to determine the predictors of in-hospital events in an Asian cohort of Stanford type B AAD. METHODS AND RESULTS: Hospital records were queried to identify patients that met following criteria: (1) AAD presenting within 14 days of symptom onset; and (2) computed tomography (CT) confirmation of a dissected descending aorta not involving the ascending aorta. An in-hospital event was defined as death, rupture/impending rupture, or organ malperfusion. Patient characteristics, inflammatory markers, and CT findings were obtained from clinical case records and retrospectively analyzed. Two hundred and twenty patients with Stanford B AAD were identified. In-hospital events occurred in 15 patients (there were 8 deaths, and 5 patients need to undergo emergent surgery because of impending rupture or rupture, and 4 patients experienced organ malperfusion). In univariate logistic regression analysis, the non-thrombosed type (odds ratio (OR) 3.88, 95% confidence interval (CI) 1.20-12.61, p=0.02) and maximum aortic diameter measured by an initial CT (each having a 5 mm increment: OR 1.61, 95% CI 1.20-2.15, p=0.001) were significant predictors of in-hospital events. In multiple logistic regression analysis, the only significant predictor was maximum aortic diameter measured by an initial CT (each having a 5 mm increment: OR 1.41, 95% CI 1.04-1.92, p=0.03). CONCLUSION: The results identified a large maximum aortic diameter as the independent predictor of in-hospital events in Stanford type B AAD. The non-thrombosed type might also help differentiate high-risk patients.
BACKGROUND: In Stanford B acute aortic dissection (AAD), medical treatment is the choice of therapy in the acute phase, however, a portion of patients experience complications caused by serious clinical outcomes including aortic rupture and abdominal visceral ischemia. The objective of this study was to determine the predictors of in-hospital events in an Asian cohort of Stanford type B AAD. METHODS AND RESULTS: Hospital records were queried to identify patients that met following criteria: (1) AAD presenting within 14 days of symptom onset; and (2) computed tomography (CT) confirmation of a dissected descending aorta not involving the ascending aorta. An in-hospital event was defined as death, rupture/impending rupture, or organ malperfusion. Patient characteristics, inflammatory markers, and CT findings were obtained from clinical case records and retrospectively analyzed. Two hundred and twenty patients with Stanford B AAD were identified. In-hospital events occurred in 15 patients (there were 8 deaths, and 5 patients need to undergo emergent surgery because of impending rupture or rupture, and 4 patients experienced organ malperfusion). In univariate logistic regression analysis, the non-thrombosed type (odds ratio (OR) 3.88, 95% confidence interval (CI) 1.20-12.61, p=0.02) and maximum aortic diameter measured by an initial CT (each having a 5 mm increment: OR 1.61, 95% CI 1.20-2.15, p=0.001) were significant predictors of in-hospital events. In multiple logistic regression analysis, the only significant predictor was maximum aortic diameter measured by an initial CT (each having a 5 mm increment: OR 1.41, 95% CI 1.04-1.92, p=0.03). CONCLUSION: The results identified a large maximum aortic diameter as the independent predictor of in-hospital events in Stanford type B AAD. The non-thrombosed type might also help differentiate high-risk patients.