Is Food Tolerance Different After Bariatric Surgery Depending on the Surgical Procedure?

BACKGROUND: Bariatric surgery (BS) is a very effective treatment regarding body weight loss but might affect food tolerance and energy and protein intake. The aim of this study was to compare three BS techniques (biliopancreactic diversion (BPD), gastric bypass (GB), and sleeve gastrectomy (SG)) and their effect on food tolerance. METHODS: Prospective study conducted between April 2016 and April 2019. Visits included were 1 before and 6, 12, and 24 months after BS. Food tolerance test (FTT), 24-h recall, and bioelectrical impedance (TANITA MC780) were performed at all visits. RESULTS: Sixty-six patients were included (74.2% women). FTT showed a better self-perception of the intake after surgery in BPD at 6 months (p = 0.013), and at 12 months (p = 0.006). BPD had a better tolerance of 8 food groups at 6 months (red meat p = 0.017, white meat p = 0.026, salad p = 0.017, bread p < 0.001, rice p = 0.047, pasta p = 0.014, fish p = 0.027) and at 12 months, but only red meat (p = 0.002), bread (p < 0.001), rice (p = 0.025), and pasta (p = 0.025) remained statistically different. Twenty-four months after surgery, only the red meat food group (p = 0.007) showed differences. BPD had the lowest incidence of vomiting at 6 months (p < 0.001), 12 months (p = 0.008), and 24 months (p = 0.002). The total score of FTT was better in BPD at 6 months [25.6 (SD 1.5), p < 0.001], 12 months [25.6 (SD 2.4), p < 0.001], and 24 months [25.7 (SD 1.3), p = 0.001]. BPD showed the best intake in energy and proteins at 6 months [1214.8 (SD 342.4) kcal and 67.1 (SD 18.4) g] and 12 months [1199.6 (SD 289.7) kcal and 73.5 (SD 24.3) g]. % FML was higher in GB both at 6 and 12 months being statistically different (p < 0.050). CONCLUSION: Biliopancreatic diversion appears to be the technique with a better food tolerance and protein and energy intake in the first year of follow-up after BS.

Valoración de la baja masa y fuerza muscular en una población de control / Assessment of low muscle mass and strength in a control population

Introducción y objetivos: la baja masa muscular (BMM) condiciona el estado nutricional de un individuo y tiene implicaciones en la calidad y el pronóstico de vida. El objetivo de este trabajo fue evaluar la composición corporal y determinar los valores de normalidad en el diagnóstico de BMM en un grupo de control de individuos sanos. Material y método: estudio transversal de voluntarios sanos con edades entre 18 y 45 años, con un índice de masa corporal (IMC) < 30 kg/m2. Se realizó un estudio descriptivo incluyendo variables demográficas, clínicas, antropométricas y de composición corporal (mediante bioimpedancia, TANITA MC 780 MA; TANITA, Tokio, Japón), con estratificación por edad, sexo e IMC. Se determinaron los valores correspondientes a -1/-2 desviaciones estándar (DE) para considerar una baja masa/función muscular. Resultados: se incluyeron 67 pacientes, el 71,60 % mujeres, con una mediana de edad de 28,29 (RIC: 4,05) años. Los varones presentan mayor peso, IMC, masa libre de grasa (MLG), masa muscular (MM), masa muscular apendicular (MMA), índice de masa muscular apendicular (IMMA) y dinamometría con respecto a las mujeres. Se determinaron los valores de -1/-2 DE de los distintos parámetros musculares en función del sexo. Conclusiones: este estudio determina los valores normales de BMM en una población sana y joven de nuestro medio, y los índices más empleados para expresarla, lo que permitirá diagnosticar la BMM en situaciones patológicas empleando el valor correspondiente a -2 DE. (AU)

Background and aims: low muscle mass (LMM) conditions the nutritional status of an individual and has implications for quality of life and prognosis. The aim of this study was to evaluate body composition and determine normal values in the diagnosis of LMM in a control group of healthy individuals. Methods: a cross-sectional study of healthy volunteers aged 18 to 45 years with body mass index (BMI) < 30 kg/m2, from January 2021 to October 2021. A descriptive study was performed including demographic, clinical, anthropometric, and body composition variables (by bioimpedance, TANITA MC 780 MA; TANITA, Tokyo, Japan), stratified by age, sex and BMI. Values corresponding to -1/-2 standard deviations (SD) were determined to consider low muscle mass/function. Results: we included 67 patients, 71,60 % women, with a median age of 28.29 (IQR 4.05) years. Males presented higher weight, BMI, fat-free mass (FFM), muscle mass (MM), appendicular lean mass (ALM), appendicular lean mass index (ALMI), and dynamometry values when compared to females. The -1/-2 SD values of the various muscle parameters were determined according to sex. Conclusion: this study determined normal LMM values in healthy and young people, and the most commonly used indexes to express it, which will allow the diagnosis of LMM in disease-related situations using the corresponding -2 DS value. (AU)

[Assessment of low muscle mass and strength in a control population]. / Valoración de la baja masa y fuerza muscular en una población de control.

Introduction: Background and aims: low muscle mass (LMM) conditions the nutritional status of an individual and has implications for quality of life and prognosis. The aim of this study was to evaluate body composition and determine normal values in the diagnosis of LMM in a control group of healthy individuals. Methods: a cross-sectional study of healthy volunteers aged 18 to 45 years with body mass index (BMI) < 30 kg/m2. A descriptive study was performed including demographic, clinical, anthropometric, and body composition variables (by bioimpedance, TANITA MC 780 MA; TANITA, Tokyo, Japan), stratified by age, sex and BMI. Values corresponding to -1/-2 standard deviations (SD) were determined to consider low muscle mass/function. Results: we included 67 patients, 71,60 % women, with a median age of 28.29 (IQR 4.05) years. Males presented higher weight, BMI, fat-free mass (FFM), muscle mass (MM), appendicular lean mass (ALM), appendicular lean mass index (ALMI), and dynamometry values when compared to females. The -1/-2 SD values of the various muscle parameters were determined according to sex. Conclusion: this study determined normal LMM values in healthy and young people, and the most commonly used indexes to express it, which will allow the diagnosis of LMM in disease-related situations using the corresponding -2 DS value.

Introducción: Introducción y objetivos: la baja masa muscular (BMM) condiciona el estado nutricional de un individuo y tiene implicaciones en la calidad y el pronóstico de vida. El objetivo de este trabajo fue evaluar la composición corporal y determinar los valores de normalidad en el diagnóstico de BMM en un grupo de control de individuos sanos. Material y método: estudio transversal de voluntarios sanos con edades entre 18 y 45 años, con un índice de masa corporal (IMC) < 30 kg/m2. Se realizó un estudio descriptivo incluyendo variables demográficas, clínicas, antropométricas y de composición corporal (mediante bioimpedancia, TANITA MC 780 MA; TANITA, Tokio, Japón), con estratificación por edad, sexo e IMC. Se determinaron los valores correspondientes a -1/-2 desviaciones estándar (DE) para considerar una baja masa/función muscular. Resultados: se incluyeron 67 pacientes, el 71,60 % mujeres, con una mediana de edad de 28,29 (RIC: 4,05) años. Los varones presentan mayor peso, IMC, masa libre de grasa (MLG), masa muscular (MM), masa muscular apendicular (MMA), índice de masa muscular apendicular (IMMA) y dinamometría con respecto a las mujeres. Se determinaron los valores de -1/-2 DE de los distintos parámetros musculares en función del sexo. Conclusiones: este estudio determina los valores normales de BMM en una población sana y joven de nuestro medio, y los índices más empleados para expresarla, lo que permitirá diagnosticar la BMM en situaciones patológicas empleando el valor correspondiente a -2 DE.

Increased incidence of Graves' disease during the SARS-CoV2 pandemic.

INTRODUCTION: COVID-19 has a wide spectrum of clinical severity and there is evidence that SARS-Cov2 affects several organs and systems. Among the organs affected since the beginning of the pandemic, the relationship between SARS-CoV-2 infection and thyroid involvement has been demonstrated. Novel and highly effective messenger RNA and DNA-based vaccines have been rapidly developed to decrease SARS-CoV-2 morbidity and mortality. Early after mass vaccinations, cases of thyroid dysfunction mainly including episodes of subacute thyroiditis, began to be reported like adverse effects. The objective of this study is to determine the impact of the pandemic, both due to SARS-CoV2 infections and vaccinations, on the incidence of Graves' disease (GD). METHODS: Cross-sectional, observational study comparing incidence of GD in adult population (over 18 years) before (2017-2019) and after (2020-2021) Covid-19 pandemic. Only patients with new cases of GD, no relapsed diseases, were included. SARS-CoV-2 diagnosis was based on nucleic acid amplification tests on nasopharyngeal swabs or measurement of class M and class G antibodies to SARS-CoV-2 by highly specific assays. Data on incidence and vaccination related to SARS-CoV-2 infection were obtained from the public records from Castilla y León autonomous regional government. RESULTS: A total of 180 subjects were diagnosed and treated for GD during the study period. We observed a notable increase in expected GD cases in 2021 compared to 2017-19. The number of GD cases was higher in the second (Q2) quarter. Among 2021 GD cases, 42/66 patients (63.6%) had been vaccinated in the 90 days before symptom onset, but none of them in the first quarter of the year. A total of 97.7% were women with a mean age of 48.9 (SD 15.6) years. On average they were diagnosed 19.9 (SD 17.6) days after receiving the vaccine. A total of 7/42 (16.67%) had another previously diagnosed autoimmune disease and 11/42 (26.19%) were smokers. DISCUSSION: Our results show a notable increase in the incidence of GD during the year 2021, specially in women with a history of smoking. Hyper activation of the immune system induced by SARS-CoV2 and by the recently released SARS-COV-2 vaccines has been highlighted in recent months. To assess whether this observed increase in the incidence of GD is sustained in the coming years or has simply been a precipitous trigger for individuals who were already predisposed to develop the disease, future studies will be needed.

Bioelectrical impedance analysis as an alternative to dual-energy x-ray absorptiometry in the assessment of fat mass and appendicular lean mass in patients with obesity.

OBJECTIVE: Obesity is a challenge for bioelectrical impedance analysis (BIA) estimations of skeletal muscle and fat mass (FM), and none of the equations used for appendicular lean mass (ALM) have been developed for people with obesity. By using different equations and proposing a new equation, this study aimed to assess the estimation of FM and ALM using BIA compared with dual-energy x-ray absorptiometry (DXA) as a reference method in a cohort of people with severe obesity. METHODS: This cross-sectional study compared a multifrequency BIA (TANITA MC-780A) versus DXA for body composition assessment in adult patients with severe obesity (body mass index [BMI] of >35 kg/m2). Comparisons between measured (DXA) and predicted (BIA) data for FM and ALM were performed using the original proprietary equations of the device and the equations proposed by Kyle, Sergi, and Yamada. Bland-Altman plots were drawn to evaluate the agreement between DXA and BIA, calculating bias and limits of agreement (LOA). Reliability was analyzed using intraclass correlation coefficient (ICC). Stepwise multiple regression analysis was used to derive a new equation to predict ALM in patients with obesity and was validated in a subsample of our cohort. RESULTS: In this study, 115 patients (72.4% women) with severe obesity (mean BMI of 46.1 [5.2] kg/m2) were included (mean age 43.5 [8.6] y). FMDXA was 61.4 (10.1) kg, FMBIA was 57.9 (10.3) kg, and ICC was 0.925 (P < 0.001). Bias was -3.4 (4.4) kg (-5.2%), and LOA was -14.0, +7.3 kg. Using the proprietary equations, ALMDXA was 21.8 (4.7) kg and ALMBIA was 29.0 (6.8) kg with an ICC 0.868, bias +7.3 (4.0) kg (+34.1%) and LOA -0.5, +15.1. When applying other equations for ALM, the ICC for Sergi, et al. was 0.880, the ICC for Kyle, et al. was 0.891, and the best ICC estimation for Yamada, et al. was 0.914 (P < 0.001). Bias was +2.8 (2.8), +4.1 (2.9), and +2.7 (2.8) kg, respectively. The best-fitting regression equation to predict ALMDXA in our population derived from a development cohort (n = 77) was: ALM = 13.861 + (0.259 x H2/Z) - (0.085 x age) - (3.983 x sex [0 = men; 1 = women]). When applied to our validation cohort (n = 38), the ICC was 0.864, and the bias was the lowest compared with the rest of the equations +0.3 (+0.5) kg (+2.7%) LOA -5.4, +6.0 kg. CONCLUSION: BIA using multifrequency BIA in people with obesity is reliable enough for the estimation of FM, with good correlation and low bias to DXA. Regarding the estimation of ALM, BIA showed a good correlation with DXA, although it overestimated ALM, especially when proprietary equations were used. The use of equations developed using the same device improved the prediction, and our new equation showed a low bias for ALM.

Disease-Related Malnutrition and Sarcopenia Predict Worse Outcome in Medical Inpatients: A Cohort Study.

(1) Background: Both sarcopenia and disease-related malnutrition (DRM) are unfortunately underdiagnosed and undertreated in our Western hospitals, which could lead to worse clinical outcomes. Our objectives included to determine the impact of low muscle mass (MM) and strength, and also DRM and sarcopenia, on clinical outcomes (length of stay, death, readmissions at three months, and quality of life). (2) Methodology: Prospective cohort study in medical inpatients. On admission, MM and hand grip strength (HGS) were assessed. The Global Leadership Initiative on Malnutrition (GLIM) criteria were used to diagnose DRM and EWGSOP2 for sarcopenia. Assessment was repeated after one week and at discharge. Quality of life (EuroQoL-5D), length of stay (LoS), readmissions and mortality are reported. (3) Results: Two hundred medical inpatients, median 76.0 years-old and 68% with high comorbidity. 27.5% met GLIM criteria and 33% sarcopenia on admission, increasing to 38.1% and 52.3% on discharge. Both DRM and sarcopenia were associated with worse QoL. 6.5% died and 32% readmission in 3 months. The odds ratio (OR) of mortality for DRM was 4.36 and for sarcopenia 8.16. Readmissions were significantly associated with sarcopenia (OR = 2.25) but not with DRM. A higher HGS, but not MM, was related to better QoL, less readmissions (OR = 0.947) and lower mortality (OR = 0.848) after adjusting for age, sex, and comorbidity. (4) Conclusions: In medical inpatients, mostly polymorbid, both DRM but specially sarcopenia are associated with poorer quality of life, more readmissions, and higher mortality. Low HGS proved to be a stronger predictor of worse outcomes than MM.

Diabetes remission after malabsorptive bariatric surgery.

Obesity and diabetes are two closely related disorders. Lifestyle changes and drug treatment do not achieve successful diabetes remission. A treatment option for these patients is bariatric surgery (BS). The partial and complete remission rates vary, depending on the type of technique used (restrictive or malabsorptive), with malabsorptive surgery being more effective in terms of both weight reduction and diabetes remission (DR). Different scales (DiaRem, Ad-DiaRem or 5y-Ad-DiaRem) predict the probability of DR after BS, particularly after gastric bypass surgery. Some studies report higher DR rates in surgery with a greater malabsorptive component. Our aim was to study the benefits of BS at one year and 5 years in terms of the weight and blood glucose profile in patients with obesity and type 2 diabetes mellitus; assess percentage DR according to ADA criteria; determine the DR predictive capacity of different scores; and examine which variables predict DR at one and five years after biliopancreatic diversion (BPD). Percentage overweight reduction and the decrease in both blood glucose and HbA1c were greater with BPD. Complete diabetes remission was approximately 80% at one and 5 years after BS. In general, the scores that determine the probability of DR show poor discriminative capacity in malabsorptive surgery. Presurgery HbA1c predicts DR at one and 5 years after BPD. The type of surgery performed should be individualized, based on the severity of diabetes and the specific characteristics of each patient.

Diabetes remission after malabsorptive bariatric surgery. / Remisión de diabetes tras cirugía bariátrica malabsortiva.

Obesity and diabetes are two closely related disorders. Lifestyle changes and drug treatment do not achieve successful diabetes remission. A treatment option for these patients is bariatric surgery (BS). The partial and complete remission rates vary, depending on the type of technique used (restrictive or malabsorptive), with malabsorptive surgery being more effective in terms of both weight reduction and diabetes remission (DR). Different scales (DiaRem, Ad-DiaRem or 5y-Ad-DiaRem) predict the probability of DR after BS, particularly after gastric bypass surgery. Some studies report higher DR rates in surgery with a greater malabsorptive component. Our aim was to study the benefits of BS at one year and 5 years in terms of the weight and blood glucose profile in patients with obesity and type 2 diabetes mellitus; assess percentage DR according to ADA criteria; determine the DR predictive capacity of different scores; and examine which variables predict DR at one and five years after biliopancreatic diversion (BPD). Percentage overweight reduction and the decrease in both blood glucose and HbA1c were greater with BPD. Complete diabetes remission was approximately 80% at one and 5 years after BS. In general, the scores that determine the probability of DR show poor discriminative capacity in malabsorptive surgery. Presurgery HbA1c predicts DR at one and 5 years after BPD. The type of surgery performed should be individualized, based on the severity of diabetes and the specific characteristics of each patient.