Optimization of change in epicardial fat thickness for obese patients who lost weight via the bariatric surgery method using central composite and Box-Behnken experimental designs

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dc.contributor.authorElmalı, Ferhan
dc.contributor.authorTekindal, Mustafa Agâh
dc.contributor.authorAltın, Cihan
dc.contributor.authorAteş, Can
dc.contributor.authorErol, Varlık
dc.date.accessioned2021-12-01T11:05:08Z
dc.date.available2021-12-01T11:05:08Z
dc.date.issued2021
dc.departmentTıp Fakültesi
dc.description.abstractBackground. The aim of this study was to detect the optimal values for Age, Body Mass Index (BMI) and HOMA-IR of obese patients prior to surgery that results in a maximal decrease of visceral fat mass 6 months after bariatric surgery. Method. In this study, 33 experimental set-ups were designed. This study was approved by Baskent University Medical and Health Sciences Research Board (Approval number: KA16/281). The study data consisted of 40 obese patients who lost weight through the bariatric surgery between February 2015 and December 2016. The values of BMI, Age and HOMA for the obese patients who lost weight through the bariatric surgery were evaluated in three categories and at three levels; the response variable was determined as the Change in Epicardial Fat Thickness (1EFT). Results. As a result of CCD analysis, the optimum 1EFT = 2.571 was determined when Age = 30.52, BMI = 45.30, and HOMA = 34.62. As a result of the BBD analysis, the optimum 1EFT = 3.756 was determined, when Age = 38.36, BMI = 63.18, and HOMA = 14.95. The optimum 1EFT was modeled with Contour and Response Surface plots. Conclusion. Based on the two surface response models used in our study, the maximal decrease of visceral fat mass as assessed by measuring echography images of epicardial fat thickness can be obtained by bariatric surgery of persons who are between 31 and 38 year old, have a BMI between 45 and 63 kg/m2 and have a HOMA-IR 34 between 15 and 35. Central Composite Design and a Box-Behnken Design of suitable patient data predicted 35 optimal settings of independent variables for the maximal clinical response of an intervention.
dc.identifier.doi10.7717/peerj.11831
dc.identifier.endpage-en_US
dc.identifier.issn2167-8359
dc.identifier.issue-en_US
dc.identifier.pmid34430075
dc.identifier.scopusqualityQ1
dc.identifier.startpage-en_US
dc.identifier.urihttps:/dx.doi.org/10.7717/peerj.11831
dc.identifier.urihttps://hdl.handle.net/20.500.12451/8846
dc.identifier.volume9en_US
dc.identifier.wosWOS:000681109300003
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherPeerJ Inc.
dc.relation.ispartofPeerJ
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBariatric Surgery
dc.subjectBox-Behnken Design
dc.subjectCentral Composite Design
dc.subjectResponse Surface Method
dc.titleOptimization of change in epicardial fat thickness for obese patients who lost weight via the bariatric surgery method using central composite and Box-Behnken experimental designs
dc.typeArticle

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