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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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Published in: | Plastic and reconstructive surgery. Global open 2021-07, Vol.9 (7), p.e3708-e3708 |
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creator | Blok, Yara L. van Lierop, Evelien Plat, Victor D. Corion, Leonard U.M. Verduijn, Pieter S. Krekel, Nicole M.A. |
description | 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. |
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fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_3445fbedf8b9406996d23cee0fb5f402</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_3445fbedf8b9406996d23cee0fb5f402</doaj_id><sourcerecordid>2555965777</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4965-8ab223eb9bc54a03fdc2bf78c9af7163101aecc38802fac95a37df28ee1951e33</originalsourceid><addsrcrecordid>eNpdkV9rFDEUxQdRbKn9Bj7Moy9T83eSvAi12LqwUCiKvoU7mZvdabOTNcm6-O1N3UVbAyGX5JzfJfc0zVtKLigx6v3N7fcL8mRxRfSL5pTR3nRKKvHySX3SnOd8_6jSWlAlXzcnXHDaCyZPm2-LzTbAXNplzLmFeWwvc45ugoJjezflh_YaXIkptz6GEPfTvGqPlm6AXEUfE0Iu7R26OOeSdq5MtXjTvPIQMp4fz7Pm6_WnL1efu-XtzeLqctk5YXrZaRgY4ziYwUkBhPvRscEr7Qx4RXtOCQV0jmtNmAdnJHA1eqYRqZEUOT9rFgfuGOHebtO0gfTLRpjsn4uYVhZSmVxAy4WQfsDR68EI0hvTj4w7ROIH6QVhlfXhwNruhg2ODueSIDyDPn-Zp7VdxZ9Wc0KZlhXw7ghI8ccOc7GbKTsMdVoYd9kyKWX9tVKqSsVB6lIdfEL_tw0l9jFiWyO2_0f8z7aPoWDKD2G3x2TXCKGsLaGKEWL6jhFGiaqmrm4h-W-2zqkY</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2555965777</pqid></control><display><type>article</type><title>Implant Loss and Associated Risk Factors following Implant-based Breast Reconstructions</title><source>PubMed Central (Open Access)</source><source>LWW_医学期刊</source><creator>Blok, Yara L. ; van Lierop, Evelien ; Plat, Victor D. ; Corion, Leonard U.M. ; Verduijn, Pieter S. ; Krekel, Nicole M.A.</creator><creatorcontrib>Blok, Yara L. ; van Lierop, Evelien ; Plat, Victor D. ; Corion, Leonard U.M. ; Verduijn, Pieter S. ; Krekel, Nicole M.A.</creatorcontrib><description>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.</description><identifier>ISSN: 2169-7574</identifier><identifier>EISSN: 2169-7574</identifier><identifier>DOI: 10.1097/GOX.0000000000003708</identifier><identifier>PMID: 34316425</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Breast ; Original</subject><ispartof>Plastic and reconstructive surgery. Global open, 2021-07, Vol.9 (7), p.e3708-e3708</ispartof><rights>Lippincott Williams & Wilkins</rights><rights>Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4965-8ab223eb9bc54a03fdc2bf78c9af7163101aecc38802fac95a37df28ee1951e33</citedby><cites>FETCH-LOGICAL-c4965-8ab223eb9bc54a03fdc2bf78c9af7163101aecc38802fac95a37df28ee1951e33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301285/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301285/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Blok, Yara L.</creatorcontrib><creatorcontrib>van Lierop, Evelien</creatorcontrib><creatorcontrib>Plat, Victor D.</creatorcontrib><creatorcontrib>Corion, Leonard U.M.</creatorcontrib><creatorcontrib>Verduijn, Pieter S.</creatorcontrib><creatorcontrib>Krekel, Nicole M.A.</creatorcontrib><title>Implant Loss and Associated Risk Factors following Implant-based Breast Reconstructions</title><title>Plastic and reconstructive surgery. Global open</title><description>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.</description><subject>Breast</subject><subject>Original</subject><issn>2169-7574</issn><issn>2169-7574</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpdkV9rFDEUxQdRbKn9Bj7Moy9T83eSvAi12LqwUCiKvoU7mZvdabOTNcm6-O1N3UVbAyGX5JzfJfc0zVtKLigx6v3N7fcL8mRxRfSL5pTR3nRKKvHySX3SnOd8_6jSWlAlXzcnXHDaCyZPm2-LzTbAXNplzLmFeWwvc45ugoJjezflh_YaXIkptz6GEPfTvGqPlm6AXEUfE0Iu7R26OOeSdq5MtXjTvPIQMp4fz7Pm6_WnL1efu-XtzeLqctk5YXrZaRgY4ziYwUkBhPvRscEr7Qx4RXtOCQV0jmtNmAdnJHA1eqYRqZEUOT9rFgfuGOHebtO0gfTLRpjsn4uYVhZSmVxAy4WQfsDR68EI0hvTj4w7ROIH6QVhlfXhwNruhg2ODueSIDyDPn-Zp7VdxZ9Wc0KZlhXw7ghI8ccOc7GbKTsMdVoYd9kyKWX9tVKqSsVB6lIdfEL_tw0l9jFiWyO2_0f8z7aPoWDKD2G3x2TXCKGsLaGKEWL6jhFGiaqmrm4h-W-2zqkY</recordid><startdate>20210722</startdate><enddate>20210722</enddate><creator>Blok, Yara L.</creator><creator>van Lierop, Evelien</creator><creator>Plat, Victor D.</creator><creator>Corion, Leonard U.M.</creator><creator>Verduijn, Pieter S.</creator><creator>Krekel, Nicole M.A.</creator><general>Lippincott Williams & Wilkins</general><general>Wolters Kluwer</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210722</creationdate><title>Implant Loss and Associated Risk Factors following Implant-based Breast Reconstructions</title><author>Blok, Yara L. ; van Lierop, Evelien ; Plat, Victor D. ; Corion, Leonard U.M. ; Verduijn, Pieter S. ; Krekel, Nicole M.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4965-8ab223eb9bc54a03fdc2bf78c9af7163101aecc38802fac95a37df28ee1951e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Breast</topic><topic>Original</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Blok, Yara L.</creatorcontrib><creatorcontrib>van Lierop, Evelien</creatorcontrib><creatorcontrib>Plat, Victor D.</creatorcontrib><creatorcontrib>Corion, Leonard U.M.</creatorcontrib><creatorcontrib>Verduijn, Pieter S.</creatorcontrib><creatorcontrib>Krekel, Nicole M.A.</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Plastic and reconstructive surgery. Global open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Blok, Yara L.</au><au>van Lierop, Evelien</au><au>Plat, Victor D.</au><au>Corion, Leonard U.M.</au><au>Verduijn, Pieter S.</au><au>Krekel, Nicole M.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implant Loss and Associated Risk Factors following Implant-based Breast Reconstructions</atitle><jtitle>Plastic and reconstructive surgery. Global open</jtitle><date>2021-07-22</date><risdate>2021</risdate><volume>9</volume><issue>7</issue><spage>e3708</spage><epage>e3708</epage><pages>e3708-e3708</pages><issn>2169-7574</issn><eissn>2169-7574</eissn><abstract>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.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>34316425</pmid><doi>10.1097/GOX.0000000000003708</doi><oa>free_for_read</oa></addata></record> |
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subjects | Breast Original |
title | Implant Loss and Associated Risk Factors following Implant-based Breast Reconstructions |
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