Journal of Cardiothoracic Surgery (Aug 2020)

Bilateral-pectoral major muscle advancement flap combined with vacuum-assisted closure therapy for the treatment of deep sternal wound infections after cardiac surgery

  • Feng Song,
  • Zhenzhong Liu

DOI
https://doi.org/10.1186/s13019-020-01264-2
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 8

Abstract

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Abstract Objectives The median sternotomy is the most common surgical approach for cardiac surgery. Deep sternal wound infection is a fatal complication after median sternotomy. The aim of this study was to evaluate the therapeutic effect of Bilateral-pectoral major muscle advancement flap combined with Vacuum-assisted closure therapy on rehabilitation for the treatment of deep sternal wound infection after cardiac surgery. Methods Between January 2016 to January 2018, 21 patients (10 males, 11 females) with deep sternal wound infection after cardiac surgery underwent Bilateral-pectoral major muscle advancement flap combined with Vacuum-assisted closure therapy. These patients were followed-up 12 months postoperative. The patient characteristics, duration of vacuum-assisted closure therapy, the mean hospital stay, postoperative complications, long-term survival of patients were retrospectively analyzed. Results Most patients undergone 1–3 times vacuum-assisted closure treatment sessions before closure. All patients were cured to discharge, the mean hospital stay was 21.1 days. Most patients’ healing wounds were first-stage healing, only one patient’s wound was second-stage healing, none was third-stage healing. One patient developed pulmonary infection and respiratory failure during the 12-month follow-up. None of the patients died during follow-up. Conclusions Bilateral-pectoral major muscle advancement flap combined with Vacuum-assisted closure therapy for the treatment of deep sternal wound infections after cardiac surgery can shorten the hospital stays and few complications. However, this is a retrospective case series presentation with no comparison group, the number of inferences is limited, so further large-scale controlled studies are needed.

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