Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/200184
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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.typeArtigo de periódicopt_BR
dc.titleCorrelations Of Homa2-ir And Hba1c With Algorithms Derived From Bioimpedance And Spectrophotometric Devices.pt_BR
dc.contributor.authorAdami, Chaim Elintonpt_BR
dc.contributor.authorGobato, Renata Cristinapt_BR
dc.contributor.authorGestic, Martinho Antoniopt_BR
dc.contributor.authorCazzo, Evertonpt_BR
dc.contributor.authorPimentel, Murilo Utrinipt_BR
dc.contributor.authorde Carvalho Ramos, Marcelopt_BR
unicamp.authorChaim Elinton Adami, Department of Surgery, Faculty of Medical Sciences (FCM/UNICAMP), Campinas University, Cidade Universitária Zeferino Vaz, Barão Geraldo, 13083970, Campinas, SP, Brazil. chaim@hc.unicamp.brpt_BR
unicamp.author.externalRenata Cristina Gobato,pt
unicamp.author.externalMartinho Antonio Gestic,pt
unicamp.author.externalEverton Cazzo,pt
unicamp.author.externalMurilo Utrini Pimentel,pt
unicamp.author.externalMarcelo de Carvalho Ramos,pt
dc.subjectAdultpt_BR
dc.subjectAlgorithmspt_BR
dc.subjectBariatric Surgerypt_BR
dc.subjectBlood Glucosept_BR
dc.subjectBrazilpt_BR
dc.subjectCross-sectional Studiespt_BR
dc.subjectElectric Impedancept_BR
dc.subjectFastingpt_BR
dc.subjectFemalept_BR
dc.subjectHemoglobin A, Glycosylatedpt_BR
dc.subjectHomeostasispt_BR
dc.subjectHumanspt_BR
dc.subjectInsulin Resistancept_BR
dc.subjectMalept_BR
dc.subjectMetabolic Syndrome Xpt_BR
dc.subjectMiddle Agedpt_BR
dc.subjectObesitypt_BR
dc.subjectSpectrophotometrypt_BR
dc.description.abstractHomeostasis model assessment of insulin resistance (HOMA2-IR) and HbA1c, markers of metabolic syndrome and glycemic control, were compared with Electro Sensor (ES) Complex software algorithms. ES complex software integrates data from Electro Sensor Oxi (ESO; spectrophotometry) and Electro Sensor-Body Composition (ES-BC; bioimpedance). One hundred forty-eight Brazilian obese candidates for bariatric surgery underwent complete physical examinations, laboratory tests (fasting plasma glucose, fasting plasma insulin, and HbA1c) and ES complex assessments. HOMA2-IR was calculated from fasting plasma glucose and fasting plasma insulin using free software provided by The University of Oxford Diabetes Trial Unit. ES complex-insulin resistance (ESC-IR) and ES complex-blood glucose control (ESC-BCG) were calculated from ESO and ES-BC data using ES complex software. Correlations between HOMA2-IR and ESC-IR and between ESC-BGC and HbA1c were determined. ESC-BGC was correlated with HbA1c (r = 0.85). ESC-BCG values >3 were predictive of HbA1c > 6.5% (φ = 0.94; unweighted κ = 0.9383). ESC-IR was correlated with HOMA2-IR (r = 0.84). Patients with ESC-IR score >2.5 or >3 were more likely to have metabolic syndrome or insulin resistance, respectively, compared with HOMA2-IR value >1.4 and >1.8, respectively. ESC-IR performance was evaluated by receiver operating characteristic curves. The areas under the curve for metabolic syndrome and insulin resistance were 0.9413 and 0.9022, respectively. The results of this study in Brazilian subjects with obesity suggest that ES complex algorithms will be useful in large-scale screening studies to predict insulin resistance, metabolic syndrome, and HbA1c >6.5%. Additional studies are needed to confirm these correlations in non-obese subjects and in other ethnic groups.en
dc.relation.ispartofObesity Surgerypt_BR
dc.relation.ispartofabbreviationObes Surgpt_BR
dc.date.issued2012-Decpt_BR
dc.identifier.citationObesity Surgery. v. 22, n. 12, p. 1803-9, 2012-Dec.pt_BR
dc.language.isoengpt_BR
dc.description.volume22pt_BR
dc.description.firstpage1803-9pt_BR
dc.rightsfechadopt_BR
dc.sourcePubMedpt_BR
dc.identifier.issn1708-0428pt_BR
dc.identifier.doi10.1007/s11695-012-0683-3pt_BR
dc.identifier.urlhttp://www.ncbi.nlm.nih.gov/pubmed/22961656pt_BR
dc.date.available2015-11-27T13:28:52Z-
dc.date.accessioned2015-11-27T13:28:52Z-
dc.description.provenanceMade available in DSpace on 2015-11-27T13:28:52Z (GMT). No. of bitstreams: 1 pmed_22961656.pdf: 407203 bytes, checksum: 4a68ac8e34be1e8cfd1054b533645ff8 (MD5) Previous issue date: 2012en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/200184-
dc.identifier.idPubmed22961656pt_BR
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