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Current literature on complications and health-related quality of life in autologous and alloplastic breast reconstruction is inconclusive. Despite the great demand for more in-depth, long-term studies of both techniques, current evidence is low or moderate and there are only few studies focusing on both health-related quality of life and complication rates in the same patient collective.
This study aims at investigating the complex relationship between the occurrence of complications and patient-reported long-time satisfaction in autologous and alloplastic breast reconstruction.
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The study is conducted at the Medical University of Graz and has been approved by the responsible ethics' committee (EK: 32-235 ex 19/20). The study includes female breast cancer patients who underwent elective breast reconstruction at one of the participating departments between April 2020 and April 2023. Written informed consent was obtained from all individual study participants enrolled.
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Data were first collected retrospectively from the clinical data management programs using surgical reports, outpatient charts, and physicians' letters. Personal data such as patient age, concomitant diseases, nicotine abuse, anticoagulation status, previous oncological therapy and surgery, etc. were acquired. Furthermore, surgery-related data (site and type of reconstruction, size and location of implant/tissue expander, intraoperative complications) and data on the postoperative course (early and late complications, revision surgeries, number of total surgeries required, etc.) were acquired.
The five-level modified Clavien-Dindo classification is used to objectively classify postoperative complications, to allow further comparisons between treatment options, different time periods and correlations to health-related quality of life. Postoperative changes in health-related quality of life are measured using the BREAST-Q questionnaire, an effective and reliable patient-reported outcome measure in breast reconstruction.
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162 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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