scholarly journals 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

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11831
Author(s):  
Ferhan Elmalı ◽  
Mustafa Agâh Tekindal ◽  
Cihan Altın ◽  
Can Ateş ◽  
Varlık Erol
Keyword(s):  
Bariatric Surgery ◽  
Fat Mass ◽  
Visceral Fat ◽  
Study Data ◽  
Epicardial Fat ◽  
Obese Patients ◽  
Response Models ◽  
Epicardial Fat Thickness ◽  
Fat Thickness ◽  
Central Composite

Background 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 (ΔEFT). Results As a result of CCD analysis, the optimum ΔEFT = 2.571 was determined when Age = 30.52, BMI = 45.30, and HOMA = 34.62. As a result of the BBD analysis, the optimum ΔEFT = 3.756 was determined, when Age = 38.36, BMI = 63.18, and HOMA = 14.95. The optimum ΔEFT 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.

Optimization of Epicardial Fat Thickness Change in Obese Patients with Weight Loss by Bariatric Surgery Using Central Composite and Box-Behnken Design

2020 ◽  
Author(s):  
Ferhan Elmalı ◽  
Mustafa Agah Tekindal ◽  
Cihan Altın ◽  
Can Ateş ◽  
Varlık Erol
Keyword(s):  
Bariatric Surgery ◽  
Response Surface ◽  
Study Data ◽  
Epicardial Fat ◽  
Obese Patients ◽  
Thickness Change ◽  
Response Surface Methods ◽  
Epicardial Fat Thickness ◽  
Fat Thickness ◽  
Central Composite

Abstract Background: The aim of our study was to determine the optimization of the change in epicardial fat thickness in obese patients who underwent bariatric surgery with Central Composite (CCD) and Box-Behnken Experimental design (BBD). Methods: Response Surface Methods are used to see the sensitivity of the assessment criterion to changes in design variables, and even to obtain the necessary correlations experimentally. Response surface methods are evaluated in two different ways as CCD and BBD design. In this study, 33 experimental designs were designed. The study data consisted of 40 obese patients who lost weight by bariatric surgery between February 2015 and December 2016. Body Mass Index (BMI), Age and HOMA values were evaluated in 3 categories and 3 levels, and response variable was the change in Epicardial Fat Thickness (ΔEFT). Results: As a result of CCD analysis, Age = 30.52, BMI = 45.30, HOMA = 34.62, the optimum ΔEFT = 2.571. As a result of BBD analysis, Age = 38.36, BMI = 63.18, HOMA = 14.95, the optimum ΔEFT = 3.756. Optimum ΔEFT is modeled with Contour and Response surface graphics. Conclusion: According to the results of the analysis, it was found that BBD analysis for optimum ΔEFT was more positive than CCD and optimum age, BMI and HOMA combinations were determined to reach maximum ΔEFT.

scholarly journals STUDY OF CORRELATION AND EVALUATION OF EPICARDIAL FAT THICKNESS WITH ABDOMINAL VISCERAL FAT THICKNESS IN OBESE AND NON-OBESE TYPE 2 DIABETES SUBJECTS

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Graurav Runwal ◽  
Saurabh Daseda
Keyword(s):  
Type 2 Diabetes ◽  
Visceral Fat ◽  
Ion Exchange Resin ◽  
Epicardial Fat ◽  
Obese Patients ◽  
Epicardial Fat Thickness ◽  
Colorimetric Test ◽  
Fat Thickness ◽  
Diabetes Patients

Method: FBS/PPBS done by GOD POD method IN Vitros “S”, FS machine. HBA1C Done by HPLC plus ion exchange resin. Lipid profile after overnight fasting of 12 hours blood collected in the morning about 5 ml and the serum centrifuged and kept for analysis. Serum cholesterol estimation: The CHOD-PAP method, enzymatic colorimetric test was used in Vitros “S”, FS machine. Result: After applying Levene’s test for equality of variance, t test between mean of epicardial fat thickness and visceral fat thickness between obese and non-obese groups, shows statistically significant (p=<0.05) association. Obese patients(11.88+1.40) had significantly more epicardial fat thickness as compared to non-obese type 2 diabetes patients (10.19+1.37), t(148) = -7.39, (p=<0.05). Obese patients (58.85+10.89) had significantly more visceral fat thickness as compared to non-obese type 2 diabetes patients (46.23+9.79), t (148) = -7.34, (p= <0.05). Conclusion: Diabetes mellitus (DM) refers to a group of common metabolic disorders lead to phenotype of hyperglycemia and caused by a complex interaction of genetics and environmental factors. We concluded that EFT and VAT were significantly correlated among obese diabetics as compare to non-obese diabetic suggesting, Obesity is an independent risk factor for visceral adipose tissue deposition both in abdomen as well as in epicardial surface. Keywords: Epicardial, Fat Thickness, Abdominal, DM, & Obese.

Association of epicardial fat thickness with the severity of obstructive sleep apnea in obese patients

2013 ◽  
Vol 167 (5) ◽  
pp. 2244-2249 ◽  
Author(s):  
Stefania Mariani ◽  
Daniela Fiore ◽  
Giuseppe Barbaro ◽  
Sabrina Basciani ◽  
Maurizio Saponara ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Epicardial Fat ◽  
Obese Patients ◽  
Epicardial Fat Thickness ◽  
Obstructive Sleep ◽  
Fat Thickness

Epicardial fat thickness and coronary risk in obese patients

2013 ◽  
Vol 34 (suppl 1) ◽  
pp. P3109-P3109
Author(s):  
G. Chumakova ◽  
N. G. Veselovskaya ◽  
O. V. Gritsenko ◽  
A. B. Ott
Keyword(s):  
Epicardial Fat ◽  
Coronary Risk ◽  
Obese Patients ◽  
Epicardial Fat Thickness ◽  
Fat Thickness

scholarly journals THE CORRELATION BETWEEN EPICARDIAL FAT THICKNESS BASED ON MULTI SLICE COMPUTED-TOMOGRAPHY SCAN THORAX WITH WAIST CIRCUMFERENCE AND BODY MASS INDEX ON DYSLIPIDEMIA NON-DIABETES MELLITUS SUBJECT

2018 ◽  
Vol 3 (1) ◽  
pp. 8
Author(s):  
Yenny Wendy ◽  
Mirna Muis
Keyword(s):  
Diabetes Mellitus ◽  
Waist Circumference ◽  
Epicardial Fat ◽  
Obese Patients ◽  
Spearman Correlation ◽  
Epicardial Fat Thickness ◽  
Spearman Correlation Test ◽  
Fat Thickness ◽  
Tomography Scan ◽  
Test Result

Introduction : Epicardial fat is visceral fat that plays a role in cardiovascular disease. Dyslipidemia non-diabetes mellitus can be found in both obese and non-obese patients. Measurement of waist circumference and BMI can assess central and peripheral obesity. The study aims to finding out the correlation between epicardial fat thickness based on MSCT scan Thorax with waist circumference and BMI on dyslipidemia non-diabetes mellitus subject. Method: There were 57 research samples of 28 to 70 years old who had dysfunction lipid profile. The most samples were found in the age group of 45-64 years with epicardial fat ranges from 2.80 to 10.80 mm and mean of 6.37 mm. Data were analysed by Mann-Whitney and Spearman correlation test. Result: There was a significant correlation between waist circumference and epicardial fat (r = 0.286, p = 0,031). There was no difference in mean of epicardial fat thickness by sex. There was no correlation between sex, and BMI with epicardial fat. Conclusion: There is a correlation between waist circumference and epicardial fat that may be affected by several factors in patients with dyslipidemia non-diabetes mellitus.

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