Plastic and Reconstructive Surgery, Global Open (Jul 2021)

Implant Loss and Associated Risk Factors following Implant-based Breast Reconstructions

  • Yara L. Blok, MD, PhD candidate,
  • Evelien van Lierop, MD,
  • Victor D. Plat, MD,
  • Leonard U.M. Corion, MD,
  • Pieter S. Verduijn, MD,
  • Nicole M.A. Krekel, MD, PhD

DOI
https://doi.org/10.1097/GOX.0000000000003708
Journal volume & issue
Vol. 9, no. 7
p. e3708

Abstract

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Background:. Implant loss is the most severe complication of implant-based breast reconstructions. This study aimed to evaluate the incidence of implant loss and other complications, identify associated risk factors, and create a risk model for implant loss. Methods:. This was a retrospective cohort study of all patients who underwent a mastectomy, followed by either a two-stage or a direct-to-implant breast reconstruction. Patient variables, operative characteristics, and postoperative complications were obtained from the patient records. A multivariate mixed-effects logistic regression model was used to create a risk model for implant loss. Results:. A total of 297 implant-based breast reconstructions were evaluated. Overall, the incidence of implant loss was 11.8%. Six risk factors were significantly associated with implant loss: obesity, a bra cup size larger than C, active smoking status, a nipple-preserving procedure, a direct-to-implant reconstruction, and a lower surgeon’s volume. A risk model for implant loss was created, showing a predicted risk of 8.4%–13% in the presence of one risk factor, 21.9%–32.5% in the presence of two, 47.5%–59.3% in the presence of three, and over 78.2% in the presence of four risk factors. Conclusions:. The incidence of implant loss in this study was 11.8%. Six associated significant risk factors were identified. Our risk model for implant loss revealed that the predicted risk increased over 78.2% when four risk factors were present. This risk model can be used to better inform patients and decrease the risk of implant loss by optimizing surgery using personalized therapy.