Mathematical model to predict risk for lymphoedema after treatment of cutaneous melanoma.
Identifieur interne : 002379 ( PubMed/Checkpoint ); précédent : 002378; suivant : 002380Mathematical model to predict risk for lymphoedema after treatment of cutaneous melanoma.
Auteurs : L L Campanholi [Brésil] ; J P Duprat Neto ; J H T G. FregnaniSource :
- International journal of surgery (London, England) [ 1743-9159 ] ; 2011.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Aisselle, Analyse multivariée, Canal inguinal, Complications postopératoires (épidémiologie), Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Humains, Jeune adulte, Lymphadénectomie, Lymphoedème (épidémiologie), Membres, Modèles biologiques, Mâle, Mélanome (), Sujet âgé, Sujet âgé de 80 ans ou plus, Tumeurs cutanées (), Évaluation des risques ().
- MESH :
- épidémiologie : Complications postopératoires, Lymphoedème.
- Adolescent, Adulte, Adulte d'âge moyen, Aisselle, Analyse multivariée, Canal inguinal, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Humains, Jeune adulte, Lymphadénectomie, Membres, Modèles biologiques, Mâle, Mélanome, Sujet âgé, Sujet âgé de 80 ans ou plus, Tumeurs cutanées, Évaluation des risques.
English descriptors
- KwdEn :
- Adolescent, Adult, Aged, Aged, 80 and over, Axilla, Child, Child, Preschool, Extremities, Female, Humans, Inguinal Canal, Lymph Node Excision, Lymphedema (epidemiology), Male, Melanoma (surgery), Middle Aged, Models, Biological, Multivariate Analysis, Postoperative Complications (epidemiology), Risk Assessment (methods), Risk Factors, Skin Neoplasms (surgery), Young Adult.
- MESH :
- epidemiology : Lymphedema, Postoperative Complications.
- methods : Risk Assessment.
- surgery : Melanoma, Skin Neoplasms.
- Adolescent, Adult, Aged, Aged, 80 and over, Axilla, Child, Child, Preschool, Extremities, Female, Humans, Inguinal Canal, Lymph Node Excision, Male, Middle Aged, Models, Biological, Multivariate Analysis, Risk Factors, Young Adult.
Abstract
To evaluate risk factors for lymphoedema development in the upper and lower limbs and to propose a model that predicts risk of lymphoedema after lymphadenectomy.
DOI: 10.1016/j.ijsu.2011.01.007
PubMed: 21276878
Affiliations:
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Fregnani</name></author></analytic><series><title level="j">International journal of surgery (London, England)</title><idno type="eISSN">1743-9159</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Axilla</term><term>Child</term><term>Child, Preschool</term><term>Extremities</term><term>Female</term><term>Humans</term><term>Inguinal Canal</term><term>Lymph Node Excision</term><term>Lymphedema (epidemiology)</term><term>Male</term><term>Melanoma (surgery)</term><term>Middle Aged</term><term>Models, Biological</term><term>Multivariate Analysis</term><term>Postoperative Complications (epidemiology)</term><term>Risk Assessment (methods)</term><term>Risk Factors</term><term>Skin Neoplasms (surgery)</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Aisselle</term><term>Analyse multivariée</term><term>Canal inguinal</term><term>Complications postopératoires (épidémiologie)</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Lymphadénectomie</term><term>Lymphoedème (épidémiologie)</term><term>Membres</term><term>Modèles biologiques</term><term>Mâle</term><term>Mélanome ()</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Tumeurs cutanées ()</term><term>Évaluation des risques ()</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Lymphedema</term><term>Postoperative Complications</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Risk Assessment</term></keywords><keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Melanoma</term><term>Skin Neoplasms</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Complications postopératoires</term><term>Lymphoedème</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Axilla</term><term>Child</term><term>Child, Preschool</term><term>Extremities</term><term>Female</term><term>Humans</term><term>Inguinal Canal</term><term>Lymph Node Excision</term><term>Male</term><term>Middle Aged</term><term>Models, Biological</term><term>Multivariate Analysis</term><term>Risk Factors</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Aisselle</term><term>Analyse multivariée</term><term>Canal inguinal</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Lymphadénectomie</term><term>Membres</term><term>Modèles biologiques</term><term>Mâle</term><term>Mélanome</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Tumeurs cutanées</term><term>Évaluation des risques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">To evaluate risk factors for lymphoedema development in the upper and lower limbs and to propose a model that predicts risk of lymphoedema after lymphadenectomy.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">21276878</PMID><DateCreated><Year>2011</Year><Month>05</Month><Day>24</Day></DateCreated><DateCompleted><Year>2011</Year><Month>11</Month><Day>18</Day></DateCompleted><DateRevised><Year>2011</Year><Month>05</Month><Day>24</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1743-9159</ISSN><JournalIssue CitedMedium="Internet"><Volume>9</Volume><Issue>4</Issue><PubDate><Year>2011</Year></PubDate></JournalIssue><Title>International journal of surgery (London, England)</Title><ISOAbbreviation>Int J Surg</ISOAbbreviation></Journal><ArticleTitle>Mathematical model to predict risk for lymphoedema after treatment of cutaneous melanoma.</ArticleTitle><Pagination><MedlinePgn>306-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ijsu.2011.01.007</ELocationID><Abstract><AbstractText Label="AIM" NlmCategory="OBJECTIVE">To evaluate risk factors for lymphoedema development in the upper and lower limbs and to propose a model that predicts risk of lymphoedema after lymphadenectomy.</AbstractText><AbstractText Label="PATIENTS" NlmCategory="METHODS">We studied 84 patients who had undergone radical lymphadenectomies for cutaneous melanoma from 1990 to 2008.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">The patients included underwent an evaluation that consisted of measurement of limb volume using perimetry, application of the manually acquired perimetric data to the truncated-cone formula, and data from medical records.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Using multivariate analysis, we obtained the following risk factors for the development of lymphoedema: reconstruction with graft (p = 0.013), Breslow depth >4mm (p = 0.029), ilioinguinal lymphadenectomy (p = 0.037) and wound infection (p = 0.036). We assigned points to each factor as dictated by the value of the regression coefficient, as follows: infection (1 point), ilioinguinal lymphadenectomy and Breslow >4mm (2 points each) and reconstruction with graft (3 points). The mathematical model for predicting lymphoedema risk in the limb ipsilateral to the lymphadenectomy was based on risk groups, defined by score: low risk = 0 point (for which we calculated an 8.3% chance of developing lymphoedema), intermediate risk = 1-2 points (26.8%), high risk = 3 points (52.9%) and very high risk = 4 or more points (88.9%).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This study identified a melanoma thickness >4mm, graft reconstruction, ilioinguinal lymphadenectomy and infection as risk factors for lymphoedema. From these factors, we constructed a mathematical model that successfully predicted risk of post-lymphadenectomy lymphoedema. The combined presence of these risk factors increased the chance of developing lymphoedema.</AbstractText><CopyrightInformation>Copyright © 2011 Surgical Associates Ltd. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Campanholi</LastName><ForeName>L L</ForeName><Initials>LL</Initials><AffiliationInfo><Affiliation>AC Camargo Hospital, São Paulo, Brazil. larissalcm@yahoo.com.br</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Duprat Neto</LastName><ForeName>J P</ForeName><Initials>JP</Initials></Author><Author ValidYN="Y"><LastName>Fregnani</LastName><ForeName>J H T G</ForeName><Initials>JH</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2011</Year><Month>01</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Int J Surg</MedlineTA><NlmUniqueID>101228232</NlmUniqueID><ISSNLinking>1743-9159</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001365" MajorTopicYN="N">Axilla</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005121" MajorTopicYN="N">Extremities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007264" MajorTopicYN="N">Inguinal Canal</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008197" MajorTopicYN="Y">Lymph Node Excision</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008209" MajorTopicYN="N">Lymphedema</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008545" MajorTopicYN="N">Melanoma</DescriptorName><QualifierName UI="Q000601" MajorTopicYN="Y">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="Y">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011183" MajorTopicYN="N">Postoperative Complications</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012878" MajorTopicYN="N">Skin Neoplasms</DescriptorName><QualifierName UI="Q000601" MajorTopicYN="Y">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2010</Year><Month>05</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2011</Year><Month>01</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2011</Year><Month>01</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2011</Year><Month>2</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2011</Year><Month>2</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2011</Year><Month>12</Month><Day>13</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">21276878</ArticleId><ArticleId IdType="pii">S1743-9191(11)00008-2</ArticleId><ArticleId IdType="doi">10.1016/j.ijsu.2011.01.007</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Brésil</li></country><region><li>État de São Paulo</li></region><settlement><li>São Paulo</li></settlement></list><tree><noCountry><name sortKey="Duprat Neto, J P" sort="Duprat Neto, J P" uniqKey="Duprat Neto J" first="J P" last="Duprat Neto">J P Duprat Neto</name><name sortKey="Fregnani, J H T G" sort="Fregnani, J H T G" uniqKey="Fregnani J" first="J H T G" last="Fregnani">J H T G. Fregnani</name></noCountry><country name="Brésil"><region name="État de São Paulo"><name sortKey="Campanholi, L L" sort="Campanholi, L L" uniqKey="Campanholi L" first="L L" last="Campanholi">L L Campanholi</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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