Risk of major postoperative complications in breast reconstructive surgery with and without an acellular dermal matrix: A development of a prognostic prediction model

N S Hillberg*, J Hogenboom, J Hommes, S M J Van Kuijk, X H A Keuter, R R W J van der Hulst

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Introduction: Acellular dermal matrices (ADM) have been suggested to allow for different approaches and reduce the risk of postoperative complications in implant-based breast surgery. Surgeons seem to embrace ADMs around the world, although a lack of consistent evidence regarding the factors that increase the risk of major postoperative complications remains.

Purpose: To develop and internally validate a model to predict the risk of a major postoperative complication in breast reconstructive surgery with and without an ADM.

Methodology: The DBIR is an opt-out registry that holds characteristics of all breast implant surgeries in the Netherlands since 2015. Using a literature-driven preselection of predictors, multivariable mixed-effects logistic regression modelling was used to develop the prediction model.

Results: A total of 2939 breasts were eligible, of which 11% underwent an ADM-assisted procedure (single-stage or two-stage). However, 31% underwent a two-stage procedure (with or without the use of ADM). Of all breasts, 10.2% developed a major postoperative complication. Age (OR 1.01), delayed timing (OR 0.71), and two-stage technique (OR 4.46) were associated with the outcome.

Conclusion: The data suggest that ADM use was not associated with a major postoperative complication, while two-stage reconstructions were strongly associated with an increased risk of major complications. Despite these findings, ADMs are not as popular in the Netherlands as in the USA. The predictive capabilities of the developed model are mediocre to poor, but because of the above findings, we believe that the role of the two-stage technique as a golden standard should be put up for debate.

Original languageEnglish
Pages (from-to)92-105
Number of pages14
JournalJPRAS Open
Volume33
DOIs
Publication statusPublished - Sept 2022

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