Metabolic Slowing Vanished 5 Years After Sleeve Gastrectomy in Patients With Obesity and Prediabetes/Diabetes.

BACKGROUND: Resting energy expenditure (REE) decreases after weight loss more than expected according to body composition changes. Metabolic adaptation (MA) or metabolic slowing represents the difference between measured (m) and predicted (p) REE, and it is not clear whether it persists in the long-term. The aim of this study is to evaluate MA occurring 1 year (V1) and 5 years (V5) after laparoscopic sleeve gastrectomy (LSG) in patients with obesity and normal glucose tolerance, prediabetes (preDM) and type 2 diabetes (T2DM). METHODS: We reassessed 37 patients (14 males/23 females) of 44.8 ±â€…10 years old, since they registered all the biochemical, body composition, and REE assessments at baseline (V0), V1, and V5. Physical activity (PA) was assessed by interview and questionnaire. RESULTS: Patients displayed a percentage of weight loss of 31.5 ±â€…7.4% at V1 and a weight regain of 8.9 ±â€…7.5% at V5. Comparing V1 and V5, fat mass showed a slight increase (P = 0.011), while free fat mass remained unchanged (P = 0.304). PA improved at V1 (P < 0.001), remaining stable at V5 (P = 0.9). Measured REE (mREE) displayed a 31.2% reduction with a corresponding decrease of predicted REE (pREE) of 21.4% at V1, compared with V0 (P = 0.005), confirming a significant MA at V1. Conversely, no difference between mREE and pREE was observed at V5 (P = 0.112). CONCLUSION: Our results suggested that only patients with preDM and T2DM displayed MA at V1, which vanished 5 years after LSG. Patients who practiced more PA prevent MA after surgery-induced wight loss.

SARS-CoV-2 RNA identification in nasopharyngeal swabs: issues in pre-analytics.

Objectives: The direct identification of SARS-CoV-2 RNA in nasopharyngeal swabs is recommended for diagnosing the novel COVID-19 disease. Pre-analytical determinants, such as sampling procedures, time and temperature storage conditions, might impact on the end result. Our aim was to evaluate the effects of sampling procedures, time and temperature of the primary nasopharyngeal swabs storage on real-time reverse-transcription polymerase chain reaction (rRT-PCR) results. Methods: Each nasopharyngeal swab obtained from 10 hospitalized patients for COVID-19 was subdivided in 15 aliquots: five were kept at room temperature; five were refrigerated (+4 °C); five were immediately mixed with the extraction buffer and refrigerated at +4 °C. Every day and for 5 days, one aliquot per condition was analyzed (rRT-PCR) for SARS-CoV-2 gene E and RNaseP and threshold cycles (Ct) compared. To evaluate manual sampling, 70 nasopharyngeal swabs were sampled twice by two different operators and analyzed separately one from the other. Results: A total of 6/10 swabs were SARS-CoV-2 positive. No significant time or storage-dependent variations were observed in SARS-CoV-2 Ct. Re-sampling of swabs with SARS-CoV-2 Ct lower than 33 resulted in highly reproducible results (CV=2.9%), while a high variability was observed when Ct values were higher than 33 (CV=10.3%). Conclusions: This study demonstrates that time and temperature of nasopharyngeal swabs storage do not significantly impact on results reproducibility. However, swabs sampling is a critical step, and especially in case of low viral load, might be a potential source of diagnostic errors.

Obesity and COVID-19: An Italian Snapshot.

OBJECTIVE: The clinical manifestations of coronavirus disease (COVID-19) run from asymptomatic disease to severe acute respiratory syndrome. Older age and comorbidities are associated to more severe disease. A role of obesity is suspected. METHODS: Patients hospitalized in the medical COVID-19 ward with severe acute respiratory syndrome coronavirus 2-related pneumonia were enrolled. The primary outcome of the study was to assess the relationship between the severity of COVID-19 and obesity classes according to BMI. RESULTS: A total of 92 patients (61.9% males; age 70.5 [13.3] years) were enrolled. Patients with overweight and obesity were younger than patients with normal weight (68.0 [12.6] and 67.0 [12.6] years vs. 76.1 [13.0] years, P < 0.01). A higher need for assisted ventilation beyond pure oxygen support (invasive mechanical ventilation or noninvasive ventilation) and a higher admission to intensive or semi-intensive care units were observed in patients with overweight and obesity (P < 0.01 and P < 0.05, respectively) even after adjusting for sex, age, and comorbidities (P < 0.05 and P < 0.001, respectively) or when patients with dementia or advanced cancer were removed from the analysis (P < 0.05). CONCLUSIONS: Patients with overweight and obesity admitted in a medical ward for severe acute respiratory syndrome coronavirus 2-related pneumonia, despite their younger age, required more frequently assisted ventilation and access to intensive or semi-intensive care units than normal weight patients.

SCCA-IgM as a Potential Biomarker of Non-Alcoholic Fatty Liver Disease in Patients with Obesity, Prediabetes and Diabetes Undergoing Sleeve Gastrectomy.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) has a high prevalence in obesity and its presence should be screened. Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity, but its effects on NAFLD are still to be firmly established. The diagnosis of non-alcoholic steatohepatitis (NASH) is currently performed by liver biopsy, a costly and invasive procedure. Squamous cell carcinoma antigen-IgM (SCCA-IgM) is a biomarker of viral hepatitis to hepatocellular carcinoma development and its role in NAFLD to NASH progression has not yet been investigated. OBJECTIVE: The aim of this study was to evaluate SCCA-IgM as a non-invasive biomarker of NAFLD/NASH in patients with different degrees of metabolic-complicated obesity before and after LSG. METHOD: Fifty-six patients with obesity were studied before and 12 months after LSG; anthropometric, biochemical, clinical, and imaging data were collected. RESULTS: At baseline steatosis was strongly associated with the glycaemic profile (p = 0.016) and was already present in prediabetic patients with obesity (82%). Only 3 patients had an SCCA-IgM level above the normal cut-off. SCCA-IgM titre did not change according to glycaemic profile or steatosis. Metabolic and inflammatory factors and transaminases significantly reduced after LSG-induced weight loss, except for SCCA-IgM. The ALT/AST ratio decreased post-LSG correlated with BMI (r = 0.297, p = 0.031), insulin (r = 0.354, p = 0.014), and triglycerides (r = 0.355, p = 0.009) reduction. CONCLUSIONS: Our results confirm the tight link between NAFLD and metabolic complications, suggesting prediabetes as a new risk factor of steatosis. SCCA-IgM does not seem to have a role in the identification and prognosis of NAFLD.

Modifications of Resting Energy Expenditure After Sleeve Gastrectomy.

OBJECTIVES: Resting energy expenditure (REE) declines more than what is expected according to body composition changes after caloric restriction. This metabolic adaptation is considered one of the factors favoring weight regain. The aim of this study is to evaluate the changes of REE and calculate the degree of metabolic adaptation occurring after laparoscopic sleeve gastrectomy (LSG). METHODS: REE (by indirect calorimetry) and body composition (fat-free mass or FFM, fat mass or FM by bioelectrical impedance analysis) were determined before and after 12 months in 154 patients with obesity treated with laparoscopic sleeve gastrectomy (LSG). RESULTS: Weight loss was 29.8 ± 10.6%, with corresponding relative reductions in FM (44.5 ± 22.8%), FFM (13.7 ± 9.9%), and REE (27.3 ± 12.9%). A predictive equation for REE was computed by using the baseline FFM and FM values to account for body composition changes. A predicted post-weight loss REE was calculated by using this equation and entering post-weight loss body composition values. Observed post-surgery REE was significantly lower than predicted one (1410 ± 312 vs 1611 ± 340 kcal/day, P < 0.001) and metabolic adaptation, calculated as the difference between observed and predicted post-weight loss REE, was - 199 ± 238 kcal/day. The post-surgery level of metabolic adaptation was inversely related to postoperative percent weight loss (r = - 0.170; P < 0.05) and FM loss (r = - 0.245; P < 0.01). CONCLUSIONS: A significant reduction of resting energy expenditure and a significant degree of metabolic adaptation both occur after sleeve gastrectomy. A greater metabolic adaptation could be partly responsible for a lower weight loss after surgery.