The learning curve effect on outcomes with frozen elephant trunk technique for extensive thoracic aorta disease

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Citações na Scopus
10
Tipo de produção
article
Data de publicação
2019
Título da Revista
ISSN da Revista
Título do Volume
Editora
WILEY
Citação
JOURNAL OF CARDIAC SURGERY, v.34, n.9, p.796-802, 2019
Projetos de Pesquisa
Unidades Organizacionais
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Resumo
Objective The purpose of this study was to analyze the learning curve effect on hospital mortality, postoperative outcomes, freedom from reintervention in the aorta and long-term survival after frozen elephant trunk (FET) operation. Methods From July 2009 to June 2018, 79 patients underwent surgery with the FET technique. They had type A aortic dissection (acute 7.6%, chronic 33%), type B aortic dissection (acute 1.26%, chronic 34.2%), and complex thoracic aortic aneurysm (24%). 27.8% were reoperations and 43% received concomitant cardiac procedures. To compare the results, the sample was divided into group 1 (G1) (first half of the sample - operations from 2009 to 2014) and group 2 (G2) (first half of the sample - operations from 2015 to 2018). Results The in-hospital mortality was 20.25%, 30.7% for G1 and 10% for G2 (P = .02). The mean cardiopulmonary bypass time, myocardial ischemia time, and selective cerebral perfusion at 25 degrees C time were 154 +/- 31, 118 +/- 32, and 59 +/- 12 minutes, respectively, similar for both groups. Stroke and spinal cord injury occurred in four and two patients, with no difference between groups (P = .61 and P = .24). The necessity for secondary intervention on the downstream aorta for both groups was also similar (P = .136). Five of sixty-three surviving patients died during the follow-up period and the estimated survival rate was different between groups 49% vs 88% (P = .007). Conclusion The learning curve with the FET procedure had a significant impact on hospital mortality and midterm survival over the follow-up period, albeit did not influence the freedom from reintervention on the downstream aorta.
Palavras-chave
Aortic diseases, aorta, aorta, thoracic, learning curve
Referências
  1. BORST HG, 1983, THORAC CARDIOV SURG, V31, P37, DOI 10.1055/s-2007-1020290
  2. Di Bartolomeo R, 2015, J THORAC CARDIOV SUR, V149, pS105, DOI 10.1016/j.jtcvs.2014.07.098
  3. Di Eusanio M, 2013, ANN CARDIOTHORAC SUR, V2, P597, DOI 10.3978/j.issn.2225-319X.2013.08.01
  4. Dias RR, 2015, REV BRAS CIR CARDIOV, V30, P205, DOI 10.5935/1678-9741.20140119
  5. Ius F, 2013, EUR J CARDIO-THORAC, V44, P949, DOI 10.1093/ejcts/ezt229
  6. Jakob H, 2017, EUR J CARDIO-THORAC, V51, P329, DOI 10.1093/ejcts/ezw340
  7. Katayama A, 2015, EUR J CARDIO-THORAC, V47, P355, DOI 10.1093/ejcts/ezu173
  8. Kato M, 1996, CIRCULATION, V94, P188
  9. Leontyev S, 2016, EUR J CARDIO-THORAC, V49, P660, DOI 10.1093/ejcts/ezv150
  10. Ma WG, 2017, J THORAC CARDIOV SUR, V154, P1175, DOI 10.1016/j.jtcvs.2017.04.088
  11. Pacini D, 2011, ANN THORAC SURG, V92, P1663, DOI 10.1016/j.athoracsur.2011.06.027
  12. Shrestha M, 2017, EUR J CARDIO-THORAC, V52, P858, DOI 10.1093/ejcts/ezx218
  13. Song SW, 2010, J THORAC CARDIOV SUR, V139, P841, DOI 10.1016/j.jtcvs.2009.12.007
  14. Takagi H, 2016, VASC ENDOVASC SURG, V50, P33, DOI 10.1177/1538574415624767
  15. Weiss G, 2016, EUR J CARDIO-THORAC, V49, P118, DOI 10.1093/ejcts/ezv044