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. 2019 Sep 9;9(1):12899.
doi: 10.1038/s41598-019-49125-w.

20 Years of DIEAP Flap Breast Reconstruction: A Big Data Analysis

Bernard Depypere  1 , Sofie Herregods  2 , Jacob Denolf  3 , Louis-Philippe Kerkhove  3   4 , Laurent Mainil  3 , Tom Vyncke  2 , Phillip Blondeel  2 , Herman Depypere  2
Affiliations

20 Years of DIEAP Flap Breast Reconstruction: A Big Data Analysis

Bernard Depypere et al. Sci Rep. .

Erratum in

Abstract

With every hospital admission, a vast amount of data is collected from every patient. Big data can help in data mining and processing of this volume of data. The goal of this study is to investigate the potential of big data analyses by analyzing clinically relevant data from the immediate postoperative phase using big data mining techniques. A second aim is to understand the importance of different postoperative parameters. We analyzed all data generated during the admission of 739 women undergoing a free DIEAP flap breast reconstruction. The patients' complete midcare nursing report, laboratory data, operative reports and drug schedule were examined (7,405,359 data points). The duration of anesthesia does not predict the need for revision. Low Red Blood cell Counts (3.53 × 106/µL versus 3.79 × 106/µL, p < 0.001) and a low MAP (MAP = 73.37 versus 76.62; p < 0.001) postoperatively are correlated with significantly more revisions. Different drugs (asthma/COPD medication, Butyrophenones) can also play a significant role in the success of the free flap. In a world that is becoming more data driven, there is a clear need for electronic medical records which are easy to use for the practitioner, nursing staff, and the researcher. Very large datasets can be used, and big data analysis allows a relatively easy and fast interpretation all this information.

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Conflict of interest statement

Laurent Mainil and Louis-Philippe Kerkhove are founders of crunch analytics. All other authors declare no competing interests.

Figures

Figure 1
Figure 1
Track of patient undergoing DIEAP-flap breast reconstruction.
Figure 2
Figure 2
Mean Arterial Pressure postoperatively (+/− 90% CI).
Figure 3
Figure 3
Postoperative VAS-score in rest (+/−90% CI).
Figure 4
Figure 4
Postoperative blood work. Left RBC, middle Hemoglobin, right Hematocrit.
Figure 5
Figure 5
Blood loss after DIEAP flap without and with revision surgery.
See this image and copyright information in PMC

References

    1. Kelly, K. The Inevitable. 336 (Viking Press, 2016).
    1. Kanevsky Jonathan, Corban Jason, Gaster Richard, Kanevsky Ari, Lin Samuel, Gilardino Mirko. Big Data and Machine Learning in Plastic Surgery. Plastic and Reconstructive Surgery. 2016;137(5):890e–897e. doi: 10.1097/PRS.0000000000002088. - DOI - PubMed
    1. Blondeel P.N. One hundred free DIEP flap breast reconstructions: a personal experience. British Journal of Plastic Surgery. 1999;52(2):104–111. doi: 10.1054/bjps.1998.3033. - DOI - PubMed
    1. Kamali Parisa, Paul Marek A., Ibrahim Ahmed M.S., Koolen Pieter G.L., Wu Winona, Schermerhorn Marc L., Lee Bernard T., Lin Samuel J. National and Regional Differences in 32,248 Postmastectomy Autologous Breast Reconstruction Using the Updated National Inpatient Survey. Annals of Plastic Surgery. 2017;78(6):717–722. doi: 10.1097/SAP.0000000000000963. - DOI - PubMed
    1. Vanschoonbeek, A., Fabre, G., Nanhekhan, L. & Vandevoort, M. Outcome after urgent microvascular revision of free DIEP, SIEA and SGAP flaps for autologous breast reconstruction (2016). - PubMed

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