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Start Over Author "Kaixin Zhao" Journal obesity surgery
5 results on '"Kaixin Zhao"'

1. Alterations in the Liver Fat Fraction Features Examined by Magnetic Resonance Imaging Following Bariatric Surgery: a Self-Controlled Observational Study

Author

Lixue Wang, Meng Zhang, Zhongtao Zhang, Kaixin Zhao, Di Cao, Mengyi Li, Han Lv, Yang Liu, Peng Zhang, Na Zeng, Lan Jin, and Zhenghan Yang

Subjects
medicine.medical_specialty, Biopsy, Endocrinology, Diabetes and Metabolism, Bariatric Surgery, 030209 endocrinology & metabolism, 03 medical and health sciences, 0302 clinical medicine, Non-alcoholic Fatty Liver Disease, Liver fat, medicine, Humans, Univariate analysis, Nutrition and Dietetics, medicine.diagnostic_test, Receiver operating characteristic, business.industry, Fatty liver, Magnetic resonance imaging, medicine.disease, Magnetic Resonance Imaging, Obesity, Obesity, Morbid, Surgery, Liver, 030211 gastroenterology & hepatology, Observational study, Steatohepatitis, business
Abstract

Obesity is a worldwide epidemic leading to non-alcoholic fatty liver disease. Alterations in the liver fat fraction (LFF) assessed by MRI following bariatric surgery is a promising feature; however, few studies have been fully elucidated. To determine the alterations in the LFF features following surgery using MRI, to determine the correlation with the clinical non-alcoholic steatohepatitis score (C-NASH score), and to identify the predictive factors for postoperative score changes. Patients (n = 69) underwent MRI to measure the LFF at baseline and 3 months postoperatively. Paired sample t tests were applied to investigate the alterations in the major parameters. Univariate analyses were performed to evaluate the factors predicting C-NASH score changes after surgery. Compared with the baseline levels, the LFF significantly decreased 3 months postoperatively (P

Published
2020

2. Alterations of Gastric Emptying Features Following Laparoscopic Sleeve Gastrectomy in Chinese Patients with Obesity: a Self-Controlled Observational Study

Author

Lixue Wang, Jigang Yang, Yang Liu, Kaixin Zhao, Mengyi Li, Na Zeng, Zhongtao Zhang, Wei Wang, Wei Xu, and Lan Jin

Subjects
Adult, Male, medicine.medical_specialty, Time Factors, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Type 2 diabetes, Logistic regression, Gastroenterology, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Gastrectomy, Weight loss, Internal medicine, Humans, Medicine, Retrospective Studies, Glycated Hemoglobin, Univariate analysis, Nutrition and Dietetics, Gastric emptying, business.industry, Repeated measures design, medicine.disease, Obesity, Gastric Emptying, Female, Laparoscopy, 030211 gastroenterology & hepatology, Surgery, Observational study, medicine.symptom, business, Follow-Up Studies
Abstract

Laparoscopic sleeve gastrectomy (LSG) has become an increasingly popular metabolic surgical procedure. Alteration in motor gastric function is a fundamental feature following LSG but still remains controversial. To determine the gastric emptying time 3 month after LSG, correlations between gastric emptying time and body weight, weight loss, and glycemia levels, alongside determining predictive factors of weight loss at the 3-month follow-up. Twenty-one patients were recruited in this study. Gastric emptying time was measured using a standard solid-phase gastric emptying scan at both baseline and 3 months after LSG. Paired sample t tests and a general linear model with repeated measures were applied to investigate the alterations in major parameters after surgery. Univariate analyses were performed to evaluate the factors predicting weight loss at the 3-month follow-up. Compared with baseline levels, gastric emptying time, body weight, and HbA1c levels decreased significantly at 3 months after LSG (P

Published
2018

3. Correction to: Metabolic Features of Individuals with Obesity Referred for Bariatric and Metabolic Surgery: a Cohort Study

Author

Meng Zhang, Yang Liu, Peng Zhang, Zhongtao Zhang, Lixue Wang, Mengyi Li, Wei Xu, Na Zeng, Kaixin Zhao, Lan Jin, and Han Lv

Subjects
Pediatrics, medicine.medical_specialty, Nutrition and Dietetics, business.industry, Endocrinology, Diabetes and Metabolism, Metabolic surgery, MEDLINE, medicine.disease, Obesity, medicine, Surgery, business, METABOLIC FEATURES, Cohort study
Abstract

In the original articles there are data errors in some of the Figure 2 tables. The corrected Figure 2 tables follow.

Published
2020

4. Metabolic Features of Individuals with Obesity Referred for Bariatric and Metabolic Surgery: a Cohort Study

Author

Han Lv, Mengyi Li, Meng Zhang, Na Zeng, Lixue Wang, Wei Xu, Kaixin Zhao, Yang Liu, Lan Jin, Peng Zhang, and Zhongtao Zhang

Subjects
Adult, Male, Adolescent, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Physiology, Bariatric Surgery, 030209 endocrinology & metabolism, Cohort Studies, 03 medical and health sciences, chemistry.chemical_compound, Young Adult, 0302 clinical medicine, Class I obesity, Risk Factors, Medicine, Humans, Insulin, Obesity, Aged, Nutrition and Dietetics, C-Peptide, business.industry, Class III obesity, Repeated measures design, Middle Aged, medicine.disease, Lipid Metabolism, Uric Acid, Cross-Sectional Studies, Phenotype, chemistry, Hypertension, Linear Models, Uric acid, 030211 gastroenterology & hepatology, Surgery, Female, business, Biomarkers, Cohort study, Lipoprotein
Abstract

The concept of metabolic obesity phenotypes has been proposed, but its relevance to metabolic features is unclear. To determine a new definition of metabolic obesity phenotype, investigate the characteristics of expressing clustered normal and abnormal metabolic parameters, and analyze factors associated with metabolic abnormalities. Characteristics of 600 patients were analyzed. The definition of metabolic obesity phenotype includes elevated blood pressure, glucose, lipid, and uric acid levels and abnormal lipoprotein levels. Independent sample t test and a general linear model with repeated measures were applied to investigate the differences in metabolic parameters. A total of 108 (18.0%) participants were obese yet metabolically healthy, whereas 492 (82.0%) were obese and metabolically unhealthy. Body weight at baseline was significantly higher in metabolically unhealthy phenotype (P

Published
2019

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