Creation of a Scorecard to Predict In-Hospital Death in Patients Undergoing Operations for Acute Type A Aortic Dissection

The Annals of Thoracic Surgery
Sergey LeontyevFriedrich W Mohr

Abstract

This study evaluated preoperative predictors of in-hospital death for the surgical treatment of patients with acute type A aortic dissection (Type A) and created an easy-to-use scorecard to predict in-hospital death. We reviewed retrospectively all consecutive patients who underwent operations for acute Type A between 1996 and 2011 at 2 tertiary care institutions. A logistic regression model was created to identify independent preoperative predictors of in-hospital death. The results were used to create a scorecard predicting operative risk. Emergency operations were performed in 534 consecutive patients for acute Type A. Mean age was 61 ± 14 years and 36.3% were women. Critical preoperative state was present in 31% of patients and malperfusion of one or more end organs in 36%. Unadjusted in-hospital mortality was 18.7% and not significantly different between institutions. Independent predictors of in-hospital death were age 50 to 70 years (odds ratio [OR], 3.8; p = 0.001), age older than 70 years (OR, 2.8; p = 0.03), critical preoperative state (OR, 3.2; p < 0.001), visceral malperfusion (OR, 3.0; p = 0.003), and coronary artery disease (OR, 2.2; p = 0.006). Age younger than 50 years (OR, 0.3; p = 0.01) was protective for earl...Continue Reading

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Citations

Aug 6, 2016·Journal of Cardiothoracic and Vascular Anesthesia·Jeremy M BennettSusan S Eagle
Apr 6, 2017·Interactive Cardiovascular and Thoracic Surgery·Tadashi KitamuraKagami Miyaji
Sep 29, 2017·European Journal of Cardio-thoracic Surgery : Official Journal of the European Association for Cardio-thoracic Surgery·Christian OlssonTomas Gudbjartsson
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