Risk model of aortic valve replacement after cardiovascular surgery based on a National Japanese Database

Suguru Ohira, Hiroaki Miyata, Kiyoshi Doi, Noboru Motomura, Shinichi Takamoto, Hitoshi Yaku

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

OBJECTIVES: The aims of this study were to investigate early results of aortic valve replacement (AVR) after cardiovascular surgery and create a risk model using a national database in Japan. METHODS: We used the Japan Adult Cardiovascular Surgery Database. Between 2008 and 2013, 2157 patients who underwent AVR for aortic stenosis after cardiovascular surgery or redo AVR were retrospectively analysed. RESULTS: The background of prior surgery (including overlapping cases) was as follows: coronary artery bypass grafting (CABG), 31.9%; valve, 67.5% and thoracic aorta, 9.0%. The mean age was 70.4. Concomitant procedures were as follows: CABG, 14.5%; mitral valve surgery, 29.9% and aortic surgery, 5.9%. The 30-day and operative mortality rates were 5.5 and 8.5%, respectively. Major morbidity occurred in 25.7%. The incidence rate of stroke was 3.8%, and that of pacemaker implantation was 3.7%. There were seven risk factors for both the operative mortality and composite outcome: age, active endocarditis, ejection fraction < 30%, New York Heart Association classification IV, mitral regurgitation ≥2, renal failure and other concomitant cardiac procedure. The C-indexes of operative mortality and the composite outcome were 0.761 and 0.709, respectively. CONCLUSIONS: We could identify risk factors predicting the operative mortality and composite outcome associated with AVR after prior cardiovascular surgery based on a national Japanese database. Early outcomes were acceptable despite these operations being associated with a higher risk than primary AVR. Our results may be informative when treating such high-risk patients.

Original languageEnglish
Pages (from-to)347-353
Number of pages7
JournalEuropean Journal of Cardio-thoracic Surgery
Volume51
Issue number2
DOIs
Publication statusPublished - 2017 Feb 1
Externally publishedYes

Fingerprint

Aortic Valve
Databases
Mortality
Coronary Artery Bypass
Japan
Aortic Valve Stenosis
Mitral Valve Insufficiency
Endocarditis
Thoracic Aorta
Mitral Valve
Renal Insufficiency
Stroke
Morbidity
Incidence

Keywords

  • Aortic valve replacement
  • Risk factors
  • Surgery
  • Valves

ASJC Scopus subject areas

  • Surgery
  • Pulmonary and Respiratory Medicine
  • Cardiology and Cardiovascular Medicine

Cite this

Risk model of aortic valve replacement after cardiovascular surgery based on a National Japanese Database. / Ohira, Suguru; Miyata, Hiroaki; Doi, Kiyoshi; Motomura, Noboru; Takamoto, Shinichi; Yaku, Hitoshi.

In: European Journal of Cardio-thoracic Surgery, Vol. 51, No. 2, 01.02.2017, p. 347-353.

Research output: Contribution to journalArticle

Ohira, Suguru ; Miyata, Hiroaki ; Doi, Kiyoshi ; Motomura, Noboru ; Takamoto, Shinichi ; Yaku, Hitoshi. / Risk model of aortic valve replacement after cardiovascular surgery based on a National Japanese Database. In: European Journal of Cardio-thoracic Surgery. 2017 ; Vol. 51, No. 2. pp. 347-353.
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