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

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. METHODSThis was a retrospective cohort study of all pa...

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Bibliographic Details
Published in:Plastic and reconstructive surgery. Global open 2021-07, Vol.9 (7), p.e3708-e3708
Main Authors: Blok, Yara L., van Lierop, Evelien, Plat, Victor D., Corion, Leonard U.M., Verduijn, Pieter S., Krekel, Nicole M.A.
Format: Article
Language:English
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Summary: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. METHODSThis 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. RESULTSA 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. CONCLUSIONSThe 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.
ISSN:2169-7574
2169-7574
DOI:10.1097/GOX.0000000000003708