Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/340121
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampMartins, Tiago Dias-
dc.contributor.authorunicampMaciel Filho, Rubens-
dc.typeArtigopt_BR
dc.titlePrincipal component analysis on recurrent venous thromboembolismpt_BR
dc.contributor.authorMartins, Tiago D.-
dc.contributor.authorAnnichino-Bizzacchi, Joyce M.-
dc.contributor.authorRomano, Anna V. C.-
dc.contributor.authorMaciel Filho, Rubens-
dc.subjectAnálise multivariadapt_BR
dc.subjectEmboliapt_BR
dc.subjectTrombosept_BR
dc.subjectAnálise de componentes principaispt_BR
dc.subject.otherlanguageMultivariate analysispt_BR
dc.subject.otherlanguageEmbolismpt_BR
dc.subject.otherlanguageThrombosispt_BR
dc.subject.otherlanguagePrincipal components analysispt_BR
dc.description.abstractThe rates of recurrent venous thromboembolism (RVTE) vary widely, and its causes still need to be elucidated. Statistical multivariate methods can be used to determine disease predictors and improve current methods for risk calculation. The objective of this study was to apply principal component analysis to a set of data containing clinical records of patients with previous venous thromboembolism and extract the main factors that predict recurrent thrombosis. Records of 39 factors including blood and lipid parameters, hereditary thrombophilia, antiphospholipid syndrome, clinical data regarding previous thrombosis and treatment, and Doppler ultrasound results were collected from 235 patients. The results showed that 13 principal components were associated with RVTE and that 18 of 39 factors are the important for the analysis. These factors include red blood cell, white blood cell, hematocrit, red cell distribution width, glucose, lipids, natural anticoagulant, creatinine, age, as well as first deep vein thrombosis data (distal/proximal, d-dimer, and time of anticoagulation). The results demonstrated that simple clinical parameters easy to be collected can be used to predict rates of recurrence and to develop new clinical decision support systems to predict the rates of RVTEpt_BR
dc.relation.ispartofClinical and applied thrombosis/hemostasispt_BR
dc.relation.ispartofabbreviationClin appl thromb hemostpt_BR
dc.publisher.cityThousand Oaks, CApt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherSagept_BR
dc.date.issued2019-01-
dc.date.monthofcirculationJan.pt_BR
dc.language.isoengpt_BR
dc.description.volume25pt_BR
dc.rightsAbertopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1076-0296pt_BR
dc.identifier.eissn1938-2723pt_BR
dc.identifier.doi10.1177/1076029619895323pt_BR
dc.identifier.urlhttps://journals.sagepub.com/doi/full/10.1177/1076029619895323pt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber2016/14172-6pt_BR
dc.date.available2020-05-05T13:47:12Z-
dc.date.accessioned2020-05-05T13:47:12Z-
dc.description.provenanceSubmitted by Susilene Barbosa da Silva (susilene@unicamp.br) on 2020-05-05T13:47:12Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-08-27T19:17:32Z : No. of bitstreams: 1 000503795300001.pdf: 302732 bytes, checksum: 2e7bdc34f77f7258c2a02ba581df0652 (MD5)en
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dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/340121-
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentDepartamento de Desenvolvimento de Processos e Produtospt_BR
dc.contributor.unidadeFaculdade de Engenharia Químicapt_BR
dc.contributor.unidadeFaculdade de Engenharia Químicapt_BR
dc.subject.keywordStatisticspt_BR
dc.subject.keywordRecurrencept_BR
dc.identifier.source000503795300001pt_BR
dc.creator.orcid0000-0002-3452-703pt_BR
dc.creator.orcid0000-0001-6511-7283pt_BR
dc.type.formArtigo originalpt_BR
dc.identifier.articleid107602961989532pt_BR
dc.description.sponsorNoteThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Funded by Fundac¸a˜o de Amparo `a Pesquisa do Estado de Sa˜o Paulo (FAPESP). Process number: 2016/14172-6pt_BR
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