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Penn classification in acute aortic dissection patients

Authors :
Calogera Pisano
Carmela Rita Balistreri
Federico Torretta
Veronica Capuccio
Alberto Allegra
Vincenzo Argano
Giovanni Ruvolo
PISANO, C
BALISTRERI, CR
TORRETTA, F
CAPUCCIO, V
ALLEGRA, A
ARGANO, V
RUVOLO, G
Publication Year :
2016
Publisher :
country:BE, 2016.

Abstract

Objective The objective of this study was to evaluate the effectiveness of the Penn classification in predicting in-hospital mortality after surgery in acute type A aortic dissection patients. Methods We evaluated 58 patients (42 men and 16 women; mean age 62.17 ± 10.6 years) who underwent emergency surgery for acute type A aortic dissection between September 2003 and June 2010 in our department. We investigated the correlation between the pre-operative malperfusion and in-hospital outcome after surgery. Results Twenty-eight patients (48%) were Penn class Aa (absence of branch vessel malperfusion or circulatory collapse), 11 (19%) were Penn class Ab (branch vessel malperfusion with ischaemia), 5 (9%) were Penn class Ac (circulatory collapse with or without cardiac involvement) and 14 (24%) were Penn class Abc (both branch vessel malperfusion and circulatory collapse). The number of patients with localized or generalized ischaemia or both, Penn class non-Aa, was 30 (52%). In-hospital mortality was 24%. In-hospital mortality was significantly higher in Penn class Abc and Penn class non-Aa. Intensive unit care stay, hospital ward stay and overall hospital stay was longer in Penn class non-Aa vs Penn class Aa. De Bakey type I dissection and type II diabetes mellitus were associated with in-hospital mortality. Conclusion Preoperative malperfusion is important for the evaluation of patients with acute aortic type A dissection. The Penn classification is a simple and quick method to apply and predict in-hospital mortality and outcomes. Keywords Type A dissection – Stanford classification – DeBakey classification – Penn classification.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....518c1cecec12b258c307fce9b1645094