Predictors of type-2 diabetes remission following bariatric surgery after a two-year follow-up

Assessment of postprandial C peptide in obese patients with prediabetes and type 2 diabetes before and after sleeve gastrectomy

Obesity is a complicated, multifactorial, and highly avoidable disease. There is a complicated relationship between type 2 diabetes mellitus (T2DM) and obesity. Surgical intervention is regarded as one of the greatest efficacious treatments for morbid obesity, where T2DM exhibits remarkable amelioration and remission. The objective of this work is to evaluate endogenous insulin by measuring postprandial C-peptide before and 6 months after LSG. We will also assess metabolic improvement, including remission of T2DM and prediabetes, 6 months after LSG. A total of 60 Egyptian patients, aged 18-60 years, with a body mass index (BMI) > 35, prediabetes, or type 2 diabetes, were recruited from bariatric outpatient clinics at Cairo University Hospitals. The study assessed the postprandial C-peptide, fasting blood sugar, HbA1C, and lipid profile before and 6 months following LSG. A significant improvement was observed in the metabolic profile in the form of reduction of BMI, HbA1c, lipid profile, and control of hypertension 6 months postoperatively. There was a significant reduction of postprandial C-peptide 6 months postoperatively. Fifty-five patients (91.7%) achieved complete remission of prediabetes and diabetes 6 months postoperatively, while 4 patients showed only improvement of diabetes and 1 patient in the prediabetic group did not achieve remission. In conclusion, LSG demonstrates encouraging outcomes in terms of metabolic profile enhancement, insulin resistance improvement as indicated by significant reduction in C-peptide level, remission of prediabetes and T2DM, and effective weight loss.

Cost-utility and budget impact analysis of laparoscopic bariatric surgery for obesity with Type II Diabetes Mellitus in Thailand

Bariatric surgery is another treatment options for patients with obesity, who cannot achieve weight controlled by conservative non-surgical therapy. Although bariatric surgery provides clinical benefits for these patients, it is costly. This study aims to evaluate the cost-effectiveness of bariatric surgery, as compared to nonbariatric surgery, in patients with body mass index (BMI) ≥32.5 kg/m2 and type 2 diabetes mellitus (T2DM), and to estimate the budget impact of bariatric surgery in Thailand.

METHODS

A Markov model was developed to estimate and compare total costs incurred and quality-adjusted life years (QALYs) gained between bariatric surgery and nonbariatric surgery over lifetime horizontal. Analysis was conducted under payer and societal perspectives. Costs and outcomes were discounted at an annual rate of 3%. The outcomes were presented as incremental cost- effectiveness ratio (ICER).

RESULTS

Under payer's perspective, bariatric surgery resulted in higher total lifetime cost (676,658.39 baht vs 574,683.38 baht) and QALYs gained (16.08 QALYs vs 14.78 QALYs), as compared to nonbariatric surgery, resulting in an ICER of 78,643.02 baht/QALY. Similarly, under the societal perspective, bariatric surgery resulted in higher total lifetime cost (1,451,923.83 baht vs 1,407,590.49 baht) and QALYs gained (16.08 QALYs vs 14.78 QALYs), as compared to nonbariatric surgery. Under societal perspective, ICER was estimated at 34,189.82 baht/QALY. A 5-year budget impact analysis indicated that bariatric surgery incurred the total budget of 223,821 million baht.

CONCLUSIONS

At the cost-effectiveness threshold of 160,000 baht/QALY, bariatric surgery was a cost-effective strategy and should continue to be included in the benefit package for patients with obesity and T2DM.

Using Pre-operative Insulin Dose to Predict Diabetes Remission After Roux-En-Y Gastric Bypass and Sleeve Gastrectomy

BACKGROUND

Obesity is intricately associated with type-2 diabetes (T2D) and other cardiovascular conditions, increasing morbidity, mortality, and health care costs. Metabolic and bariatric surgeries (MBS) have shown promising results in significant weight loss and T2D remission, but existing predictive scores for post-MBS diabetes remission do not consider insulin dosage, potentially overlooking a critical factor.

METHODS

A retrospective analysis of patients with T2D who underwent Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). The study focused on insulin dosage impact, divided into quartiles, on remission rates post-MBS. The effectiveness of RYGB vs SG was compared within insulin dose quartiles with up to 5 years of follow up.

RESULTS

A total of 508 patients (64% female, 94.9% White, mean age 53.5 ± 10.5 years, BMI (46.0 ± 8.3 kg/m2) were included in the analysis. This study demonstrates a profound association between insulin dosage quartiles and T2D remission after MBS. Patients with lower insulin requirements showed superior remission rates; those in the lowest quartile had remission rates of 73%, 70%, and 62% at 1, 3, and 5 years, respectively, compared to 34%, 37%, and 36% in the highest quartile (P < 0.001 across all intervals). RYGB surgery showed a significantly better remission in the second and third insulin quartiles, suggesting its effectiveness over SG for patients with mid-range insulin requirements.

CONCLUSION

This study underscores the importance of considering insulin dosage when predicting T2D remission post-MBS. The findings advocate for a more nuanced selection of MBS procedures based on individual insulin profiles, potentially enhancing diabetes remission outcomes.

C-peptide in diabetes: A player in a dual hormone disorder?

C-peptide, a byproduct of insulin synthesis believed to be biologically inert, is emerging as a multifunctional molecule. C-peptide serves an anti-inflammatory and anti-atherogenic role in type 1 diabetes mellitus (T1DM) and early T2DM. C-peptide protects endothelial cells by activating AMP-activated protein kinase α, thus suppressing the activity of NAD(P)H oxidase activity and reducing reactive oxygen species (ROS) generation. It also prevents apoptosis by regulating hyperglycemia-induced p53 upregulation and mitochondrial adaptor p66shc overactivation, as well as reducing caspase-3 activity and promoting expression of B-cell lymphoma-2. Additionally, C-peptide suppresses platelet-derived growth factor (PDGF)-beta receptor and p44/p42 mitogen-activated protein (MAP) kinase phosphorylation to inhibit vascular smooth muscle cells (VSMC) proliferation. It also diminishes leukocyte adhesion by virtue of its capacity to abolish nuclear factor kappa B (NF-kB) signaling, a major pro-inflammatory cascade. Consequently, it is envisaged that supplementation of C-peptide in T1DM might ameliorate or even prevent end-organ damage. In marked contrast, C-peptide increases monocyte recruitment and migration through phosphoinositide 3-kinase (PI-3 kinase)-mediated pathways, induces lipid accumulation via peroxisome proliferator-activated receptor γ upregulation, and stimulates VSMC proliferation and CD4+ lymphocyte migration through Src-kinase and PI-3K dependent pathways. Thus, it promotes atherosclerosis and microvascular damage in late T2DM. Indeed, C-peptide is now contemplated as a potential biomarker for insulin resistance in T2DM and linked to increased coronary artery disease risk. This shift in the understanding of the pathophysiology of diabetes from being a single hormone deficiency to a dual hormone disorder warrants a careful consideration of the role of C-peptide as a unique molecule with promising diagnostic, prognostic, and therapeutic applications.

Using Claims Data to Predict Pre-Operative BMI Among Bariatric Surgery Patients: Development of the BMI Before Bariatric Surgery Scoring System (B3S3)

Background

Lack of body mass index (BMI) measurements limits the utility of claims data for bariatric surgery research, but pre-operative BMI may be imputed due to existence of weight-related diagnosis codes and BMI-related reimbursement requirements. We used a machine learning pipeline to create a claims-based scoring system to predict pre-operative BMI, as documented in the electronic health record (EHR), among patients undergoing a new bariatric surgery.

Methods

Using the Optum Labs Data Warehouse, containing linked de-identified claims and EHR data for commercial or Medicare Advantage enrollees, we identified adults undergoing a new bariatric surgery between January 2011 and June 2018 with a BMI measurement in linked EHR data ≤30 days before the index surgery (n=3226). We constructed predictors from claims data and applied a machine learning pipeline to create a scoring system for pre-operative BMI, the B3S3. We evaluated the B3S3 and a simple linear regression model (benchmark) in test patients whose index surgery occurred concurrent (2011-2017) or prospective (2018) to the training data.

Results

The machine learning pipeline yielded a final scoring system that included weight-related diagnosis codes, age, and number of days hospitalized and distinct drugs dispensed in the past 6 months. In concurrent test data, the B3S3 had excellent performance (R2 0.862, 95% confidence interval [CI] 0.815-0.898) and calibration. The benchmark algorithm had good performance (R2 0.750, 95% CI 0.686-0.799) and calibration but both aspects were inferior to the B3S3. Findings in prospective test data were similar.

Conclusion

The B3S3 is an accessible tool that researchers can use with claims data to obtain granular and accurate predicted values of pre-operative BMI, which may enhance confounding control and investigation of effect modification by baseline obesity levels in bariatric surgery studies utilizing claims data.

Construction and validation of a nomogram for predicting diabetes remission at 3 months after bariatric surgery in patients with obesity combined with type 2 diabetes mellitus

AIM

Bariatric metabolic surgery (BMS) is a proven treatment option for patients with both obesity and type 2 diabetes mellitus (T2DM). However, there is a lack of comprehensive reporting on the short-term remission rates of diabetes, and the existing data are inadequate. Hence, this study aimed to investigate the factors that may contribute to diabetes remission (DR) in patients with obesity and T2DM, 3 months after undergoing BMS. Furthermore, our objective was to develop a risk-predicting model using a nomogram.

METHODS

In total, 389 patients with obesity and T2DM, who had complete preoperative information and underwent either laparoscopic sleeve gastrectomy or laparoscopic gastric bypass surgery between January 2014 and May 2023, were screened in the Chinese Obesity and Metabolic Surgery Database. The patients were randomly divided into a training set (n = 272) and a validation set (n = 117) in a 7:3 ratio. Potential factors for DR were analysed through univariate and multivariate logistic regression analyses and then modelled using a nomogram. The model's performance was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Calibration plots were used to assess prediction accuracy and decision curve analyses were conducted to evaluate the clinical usefulness of the model.

RESULTS

Glycated haemoglobin, triglycerides, duration of diabetes, insulin requirement and hypercholesterolaemia were identified as independent factors influencing DR. We have incorporated these five indicators into a nomogram, which has shown good efficacy in both the training cohort (AUC = 0.930) and validation cohort (AUC = 0.838). The calibration plots indicated that the model fits well in both the training and the validation cohorts, and decision curve analyses showed that the model had good clinical applicability.

CONCLUSION

The prediction model developed in this study holds predictive value for short-term DR following BMS in patients with obesity and T2DM.

Weight-loss Independent Clinical and Metabolic Biomarkers Associated with Type 2 Diabetes Remission Post-bariatric/metabolic Surgery

PURPOSE

Remission of type 2 diabetes (T2D) can be achieved by many, but not all, people following bariatric/metabolic surgery. The mechanisms underlying T2D remission remain incompletely understood. This observational study aimed to identify novel weight-loss independent clinical, metabolic and genetic factors that associate with T2D remission using comprehensive phenotyping.

MATERIALS AND METHODS

Ten patients without T2D remission (non-remitters) were matched to 10 patients with T2D remission (remitters) for age, sex, type of surgery, body weight, BMI, post-operative weight loss, duration from surgery and duration of T2D. Detailed body composition assessed using magnetic resonance imaging, gut hormones, serum metabolomics, insulin sensitivity, and genetic risk scores for T2D and anthropometric traits were assessed.

RESULTS

Remitters had significantly greater β-cell function and circulating acyl ghrelin levels, but lower visceral adipose tissue (VAT): subcutaneous adipose tissue (SAT) ratio than non-remitters. Branched-chain amino acids (BCAAs) and VLDL particle size were the most discriminant metabolites between groups. A significant positive correlation between, VAT area, VAT:SAT ratio and circulating levels of BCAAs was observed, whereas a significant negative correlation between BCAAs and β-cell function was revealed.

CONCLUSION

We highlight a potentially novel relationship between VAT and BCAAs, which may play a role in glucoregulatory control. Improvement in β-cell function, and the role ghrelin plays in its recovery, is likely another key factor influencing T2D remission post-surgery. These findings suggest that adjunctive approaches that target VAT loss and restoration of BCAA metabolism might achieve higher rates of long-term T2D remission post-surgery.

Inflammatory and metabolic markers and comorbidities remission following sleeve gastrectomy: A single center one-year cohort study

BACKGROUND AND AIM

Obesity is a global concern with several health-related complications. Bariatric surgeries are major treatment options in patients with obesity and other comorbidities. This study aims to investigate the effects of sleeve gastrectomy on metabolic indexes, hyperechogenic liver changes, inflammatory state, diabetes, and other obesity-related comorbidities remission after the sleeve gastrectomy.

METHODS

This prospective study was conducted on patients with obesity candidates for laparoscopic sleeve gastrectomy. Patients were followed for one year after the surgery. Comorbidities, metabolic and inflammatory parameters were assessed before and one- year after the surgery.

RESULTS

137 patients (16 males, 44 in the DM group) underwent sleeve gastrectomy. One year after the study, obesity-related comorbidities improved significantly; diabetes had complete remission in 22.7% and partial remission in 63.6% of patients. Hyper-cholesterolemia, hyper-triglyceridemia, and hyper-uricemia also improved in 45.6%, 91.2%, and 69% of the patients. Metabolic syndrome indexes improved in 17.5% of the patients. Also, the prevalence of hyperechogenic changes in the liver has declined from 21% before the surgery to 1.5% after that. Based on logistic regression analysis, increased levels of HbA1C reduced the chance of diabetes remission by 0.9%. In comparison, every unit of increased BMI before the surgery improved the case of diabetes remission by 16%.

CONCLUSION

Laparoscopic sleeve gastrectomy is a safe and effective treatment option in patients with obesity and diabetes. Laparoscopic sleeve gastrectomy alleviates BMI and insulin resistance and effectively improves other obesity-related comorbidities such as Hypercholesterolemia, hyper-triglyceridemia, hyper-uricemia, and hyperechogenic changes of the liver. HbA1C and BMI before the surgery are notable predictors of diabetes remission within the first year after the surgery.

Endoscopic Assessment Prior to Bariatric Surgery in Saudi Arabia

BACKGROUND

There are marked local inconsistencies in the Arabian Peninsula about the role of preoperative esophagogastroduodenoscopy (EGD) in bariatric surgery. Thus, this study was conducted to determine the frequency of endoscopic and histological findings in the Saudi population presenting for pre-bariatric surgery evaluation.

MATERIAL AND METHODS

This was a retrospective study that included all the patients who were evaluated by EGD at Dammam Medical Complex, Dammam, Saudi Arabia, between 2018 and 2021 as a part of their pre-bariatric-surgery evaluation.

RESULTS

A total of 684 patients were included. They consisted of 250 male and 434 female patients (36.5% and 63.5%, respectively). The mean ± standard deviation for the patients' age and body mass index (BMI) were 36.4±10.6 years and 44.6±5.1 kg/m², respectively. Significant endoscopic or histopathological findings as defined by the presence of large (≥ 2 cm) hiatus hernia, esophagitis, gastroesophageal reflux disease (GERD), Barrett esophagus, gastric ulcer, duodenal ulcer, or intestinal metaplasia were found in 143 patients (20.9%); 364 patients (53.2%) were diagnosed to have Helicobacter pylori infection.

CONCLUSION

The high number of significant endoscopic and histopathological findings in our study supports the routine use of preoperative EGD in all bariatric surgery patients. However, omitting EGD before Roux-en-Y gastric bypass (RYGB) in asymptomatic patients is still reasonable as the most frequently found significant findings, esophagitis, and hiatus hernia, are less likely to impact the operative plans in RYGB. Similarly, active surveillance and treatment of H. pylori infections in obese patients are important but it is not clear whether H. pylori eradication should be done before bariatric surgery.

Molecular, Metabolic, and Nutritional Changes after Metabolic Surgery in Obese Diabetic Patients (MoMen): A Protocol for a Multicenter Prospective Cohort Study

Metabolic surgery is an essential option in the treatment of obese patients with type 2 diabetes (T2D). Despite its known advantages, this surgery still needs to be introduced in Malaysia. In this prospective study, the pathophysiological mechanisms at the molecular level will be studied and the metabolomics pathways of diabetes remission will be explored. The present study aims to evaluate the changes in the anthropometric measurements, body composition, phase angle, diet intake, biochemistry parameters, adipokines, microRNA, and metabolomics, both pre- and post-surgery, among obese diabetic patients in Malaysia. This is a multicenter prospective cohort study that will involve obese patients (n = 102) with a body mass index (BMI) of ≥25 kg/m2 (Asian BMI categories: WHO/IASO/IOTF, 2000) who will undergo metabolic surgery. They will be categorized into three groups: non-diabetes, prediabetes, and diabetes. Their body composition will be measured using a bioimpedance analyzer (BIA). The phase angle (PhA) data will be analyzed. Venous blood will be collected from each patient for glycated hemoglobin (HbA1c), lipids, liver, renal profile, hormones, adipokines, and molecular and metabolomics analyses. The serum microRNA will be measured. A gene expression study of the adipose tissue of different groups will be conducted to compare the groups. The relationship between the 1HNMR-metabolic fingerprint and the patients’ lifestyles and dietary practices will be determined. The factors responsible for the excellent remission of T2D will be explored in this study.

Vitamin D Levels as an Important Predictor for Type 2 Diabetes Mellitus and Weight Regain Post-Sleeve Gastrectomy

Weight Loss Surgery (WLS), including sleeve-gastrectomy (SG), results in significant weight loss and improved metabolic health in severe obesity (BMI ≥ 35 kg/m2). Previous studies suggest post-operative health benefits are impacted by nutrient deficiencies, such as Vitamin D (25(OH)D) deficiency, while it is currently unknown whether nutrient levels may actually predict post-surgery outcomes. As such, this study investigated whether 25(OH)D levels could predict metabolic improvements in patients who underwent SG. Patients with severe obesity (n = 309; 75% female) undergoing SG participated in this ethics-approved, non-randomized retrospective cohort study. Anthropometry, clinical data, 25(OH)D levels and serum markers were collected at baseline, 6-, 12- and 18-months post-surgery. SG surgery resulted in significant improvements in metabolic health at 6- and 12-months post-surgery compared with baseline, as expected. Patients with higher baseline 25(OH)D had significantly lower HbA1c levels post-surgery (p < 0.01) and better post-surgical T2DM outcomes, including reduced weight regain (p < 0.05). Further analysis revealed that baseline 25(OH)D could predict HbA1c levels, weight regain and T2DM remission one-year post-surgery, accounting for 7.5% of HbA1c divergence (p < 0.01). These data highlight that higher circulating 25(OH)D levels are associated with significant metabolic health improvements post-surgery, notably, that such baseline levels are able to predict those who attain T2DM remission. This highlights the importance of 25(OH)D as a predictive biomarker of post-surgery benefits.