A Matched Comparative Analysis of Type-2 Diabetes Mellitus Remission Between Roux-en-Y Gastric Bypass and Sleeve Gastrectomy.

OBJECTIVE: Multiple scores validate long-term type-2 diabetes mellitus (T2DM) remission after metabolic and bariatric surgery (MBS). However, studies comparing Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) have not adequately controlled for certain parameters, which may influence procedure selection. METHODS: We conducted a multicenter retrospective review of patients with T2DM who underwent RYGB or SG between 2008 and 2017. Data on demographics, clinical, laboratory, and metabolic values were collected annually for up to 14 years. Each eligible RYGB patient was individually matched to an eligible SG patient based on diabetes severity, weight loss, and follow-up duration. RESULTS: Among 1149 T2DM patients, 467 were eligible for matching. We found 97 matched pairs who underwent RYGB or SG. RYGB showed significantly higher T2DM remission rates (46.4%) compared to SG (33.0%) after matching. SG patients had higher insulin usage (35.1%) than RYGB patients (20.6%). RYGB patients also experienced greater decreases in HbA1c levels and diabetes medication usage than SG patients. CONCLUSIONS: RYGB demonstrates higher efficacy for T2DM remission compared to SG, regardless of baseline characteristics, T2DM severity, weight loss, and follow-up duration. Further studies are needed to understand the long-term metabolic effects of MBS and the underlying pathophysiology of T2DM remission after MBS.

Type 2 diabetes remission after Roux-en-Y gastric bypass: a multicentered experience with long-term follow-up.

BACKGROUND: Roux-en-Y gastric bypass (RYGB) is associated with short- and mid-term type 2 diabetes (T2D) remission. Long-term outcomes and predictive parameters associated with remission following RYGB have not been well elucidated. OBJECTIVE: Determining the overall long-term T2D remission rates following RYGB and identifying predictive variables associated with remission. SETTING: Multicentered study including patients who underwent RYGB at 3 tertiary referral centers for bariatric surgery. METHODS: We performed a retrospective cohort study between 2008-2017 to allow a minimum of 5 years of follow-up. We evaluated long-term T2D remission rates and annual T2D clinical and metabolic parameters up to 14 years after surgery. Predictors of remission were assessed using multivariate logistic regression. Patients were divided into 4 groups based on quartiles of total body weight loss percentage (%TBWL) to compare remission rates between groups. RESULTS: A total of 815 patients were included (68.9% female, age 52.1 ± 11.5 yr; body mass index 45.1 ± 7.7 kg/m2) with a follow-up of 7.3 ± 3.8 years. Remission was demonstrated in 51% of patients. Predictors of remission included pre-operative duration of diabetes, baseline HbA1C, insulin use prior to surgery, number of antidiabetic medications and %TBWL (all P < .01). Remission rates were proportionally associated with %TBWL quartile (Q1, 40.9%; Q2, 52.7%; Q3, 53.1%; Q4, 56.1%) (P = .02). CONCLUSIONS: Longer duration and higher severity of T2D were negatively associated with remission while higher %TBWL had a positive association. A significant proportion of patients in all quartiles experienced long-term remission after RYGB with a greater likelihood of remission correlated with greater weight loss.

The role of diabetes severity scores in predicting disease remission in patients with BMI > 50 kg/m2 undergoing Roux-En-Y gastric bypass and sleeve gastrectomy: a multi-centered study.

BACKGROUND: Roux-En-Y gastric bypass (RYGB) and Sleeve Gastrectomy (SG) have shown to be two of the most effective interventions to enhance weight loss and associated type-2 diabetes mellitus (T2DM) remission. However, a significant number of patients, particularly with BMI ≥ 50 kg/m2, do not achieve T2DM remission after bariatric surgeries. The individualized metabolic surgery (IMS) and Robert et al. scores are two scores that characterize T2DM severity and predict disease remission after bariatric surgeries. We aim to assess the validity of these scores in predicting T2DM remission in our cohort of patients with BMI ≥ 50 kg/m2 with long-term follow-up. METHODS: This is a retrospective cohort study of all patients with T2DM, have a BMI ≥ 50 kg/m2, and underwent RYGB or SG in two different US bariatric surgery centers of excellence. The study endpoints included validating the IMS and Robert et al. scores in our cohort and evaluating the presence of any significant differences between RYGB and SG in terms of T2DM remission predicted by each of these scores. Data are presented as mean (standard deviation). RESULTS: A total of 160 patients (66.3% females, mean age 51.0 [11.8] years) had IMS score and 238 patients (66.4% females, age 50.8 [11.4] years) had Robert et al. score data. Both scores predicted T2DM remission in our patients with BMI ≥ 50 kg/m2 with ROC AUC 0.79 for the IMS score and 0.83 for Robert et al. score. Patients with lower IMS scores and higher Robert et al. scores had higher T2DM remission rates. RYGB and SG had similar T2DM remission rates over the long-term follow-up. CONCLUSION: We demonstrate the ability of the IMS and Robert et al. scores to predict T2DM remission in patients with BMI ≥ 50 kg/m2. T2DM remission was shown to decrease with more severe IMS scores and lower Robert et al. scores.

Diabetes Mellitus Remission in Patients with BMI > 50 kg/m2 after Bariatric Surgeries: A Real-World Multi-Centered Study.

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a common comorbidity associated with obesity, particularly in patients with body mass index (BMI) ≥ 50 kg/m2. We aim to study real-world T2DM long-term remission in patients with BMI ≥ 50 kg/m2 following Roux-En-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). METHODS: This was a retrospective study of the electronic medical records of all patients with BMI ≥ 50 kg/m2, T2DM, and have undergone RYGB or SG at three tertiary referral centers in the United States. We assessed the change in T2DM outcomes after bariatric surgery using a matched paired t-test for continuous variables and Bowker and Pearson test for categorical variables. We performed a multivariate logistic regression to determine predictors of remission. RESULTS: A total of 279 patients with T2DM (65% females, mean age 51.0 ± 11.7 years, 89% white, BMI 56.6 ± 5.9 kg/m2) were analyzed. Long-term T2DM remission (≥ 5 years) was demonstrated in 47% of patients. The duration of T2DM (p < 0.0001), number of T2DM medications (p = 0.003) and weight loss (p = 0.048) were the only independent factors for long-term T2DM remission. CONCLUSIONS: In this cohort of patients with BMI ≥ 50 kg/m2, RYGB and SG demonstrated significant and similar long-term T2DM remission rates and weight loss outcomes.

Lifestyle Modification Using a Wearable Biometric Ring and Guided Feedback Improve Sleep and Exercise Behaviors: A 12-Month Randomized, Placebo-Controlled Study.

Purpose: Wearable biometric monitoring devices (WBMD) show promise as a cutting edge means to improve health and prevent disease through increasing accountability. By regularly providing real-time quantitative data regarding activity, sleep quality, and recovery, users may become more aware of the impact that their lifestyle has on their health. The purpose of this study was to examine the efficacy of a biometric tracking ring on improving sleep quality and increasing physical fitness over a one-year period. Methods: Fifty-six participants received a biometric tracking ring and were placed in one of two groups. One group received a 3-month interactive behavioral modification intervention (INT) that was delivered virtually via a smartphone app with guided text message feedback (GTF). The other received a 3-month non-directive wellness education control (CON). After three months, the INT group was divided into a long-term feedback group (LT-GTF) that continued to receive GTF for another nine months or short-term feedback group (ST-GTF) that stopped receiving GTF. Weight, body composition, and VO2max were assessed at baseline, 3months, and 12months for all participants and additionally at 6 and 9months for the ST-GTF and LT-GTF groups. To establish baseline measurements, sleep and physical activity data were collected daily over a 30-day period. Daily measurements were also conducted throughout the 12-month duration of the study. Results: Over the first 3months, the INT group had significant (p<0.001) improvements in sleep onset latency, daily step count, % time jogging, VO2max, body fat percentage, and heart rate variability (rMSSD HRV) compared to the CON group. Over the next 9months, the LT-GTF group continued to improve significantly (p<0.001) in sleep onset latency, daily step count, % time jogging, VO2max, and rMSSD HRV. The ST-GTF group neither improved nor regressed over the latter 9months except for a small increase in sleep latency. Conclusion: Using a WBMD concomitantly with personalized education, encouragement, and feedback, elicits greater change than using a WBMD alone. Additionally, the improvements achieved from a short duration of personalized coaching are largely maintained with the continued use of a WBMD.

Physiological and Metabolic Requirements, and User-Perceived Exertion of Immersive Virtual Reality Exergaming Incorporating an Adaptive Cable Resistance System: An Exploratory Study.

Objective: To measure metabolic and physiological demand, subjective fatigue, and enjoyment during a signature 30-minute immersive virtual reality (IVR) adaptive cable resistance exergaming session. Methods: Fourteen healthy college-aged individuals (seven females) were initially acquainted with the IVR equipment and gameplay dynamics. Participants then underwent a 30-minute IVR exergaming session performing six different cable resistance exercises. A portable metabolic gas exchange analyzer concurrently assessed energy expenditure (EE) through indirect calorimetry while a chest-worn monitor captured heart rate (HR). Participants subsequently completed questionnaires, including the Borg scale for rating of perceived exertion (RPE), Physical Activity Enjoyment Scale (PACES), and Simulator Sickness Questionnaire (SSQ). Results: The mean EE, mean metabolic equivalent, and average total calories expended during the 30-minute session were 14.7 (standard deviation [SD] 2.8) kcal/minute, 12.9 (SD 0.5), and 440 (SD 84) kcals respectively. The mean HR was 176 (SD 3.1) beats per minute (bpm) with a mean max HR of 188 SD (SD 2.9) bpm. The combined training volume among all participants was 16,102 kg (SD 4137). Participants classified the IVR training session to be "somewhat hard-to-hard" with a RPE score of 14 (SD 1) while indicating the session to be "enjoyable" with a PACES score of 4.31 (SD 0.36). The participants did not report any cybersickness symptoms, demonstrating an average total SSQ score of 24.04 (SD 24.13). Conclusions: IVR exergaming incorporating cable resistance training elicits high EE and physiological demand with high enjoyment scores while attenuating perceived fatigue. The potential for IVR to elicit these acute training effects over long-term training periods warrants further investigation into its contribution to fitness and health.