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Background: Hyperglycemia and obesity are associated with a worse prognosis in subjects with COVID-19 independently. Their interaction as well as the potential modulating effects of additional confounding factors is poorly known. Therefore, we aimed to identify and evaluate confounding factors affecting the prognostic value of obesity and hyperglycemia in relation to mortality and admission to the intensive care unit (ICU) due to COVID-19. Methods: Consecutive patients admitted in two Hospitals from Italy (Bologna and Rome) and three from Spain (Barcelona and Girona) as well as subjects from Primary Health Care centers. Mortality from COVID-19 and risk for ICU admission were evaluated using logistic regression analyses and machine learning (ML) algorithms. Results: As expected, among 3,065 consecutive patients, both obesity and hyperglycemia were independent predictors of ICU admission. A ML variable selection strategy confirmed these results and identified hyperglycemia, blood hemoglobin and serum bilirubin associated with increased mortality risk. In subjects with blood hemoglobin levels above the median, hyperglycemic and morbidly obese subjects had increased mortality risk than normoglycemic individuals or non-obese subjects. However, no differences were observed among individuals with hemoglobin levels below the median. This was particularly evident in men: those with severe hyperglycemia and hemoglobin concentrations above the median had 30 times increased mortality risk compared with men without hyperglycemia. Importantly, the protective effect of female sex was lost in subjects with increased hemoglobin levels. Conclusions: Blood hemoglobin substantially modulates the influence of hyperglycemia on increased mortality risk in patients with COVID-19. Monitoring hemoglobin concentrations seem of utmost importance in the clinical settings to help clinicians in the identification of patients at increased death risk. [ABSTRACT FROM AUTHOR]

Context: Nonalcoholic steatohepatitis (NASH) is considered the hepatic counterpart of metabolic syndrome.Objective: This work aimed to investigate the determinants of NASH reversal in patients undergoing biliopancreatic diversion (BPD) in a 5-year follow-up study.Methods: This prospective study was conducted at Policlinico Universitario Agostino Gemelli. A total of 37 patients underwent fine-needle liver biopsy during BPD. Ultrasonography-guided percutaneous liver biopsy was obtained 5 years after the operation. The primary outcome of our study was histologic NASH reversal at 5-year follow-up. To better characterize the clinical variables involved in the resolution of NASH, we also compared patients without histologic NASH resolution at 5 years with those in whom NASH had disappeared.Results: At follow-up, NASH had reversed in 56.5% of the patients. The NAFLD activity score (NAS) improved from 3.7 ± 0.93 to 2 ± 1.11 (P < .001). Fibrosis reversed in 16% patients (P = .022), and 32% improved (95% CI, 0.05-0.54). No significant differences in body mass index or clinical parameters changes explained the effect of surgery on NASH, apart from the measure of insulin sensitivity post surgery. The Homeostasis Model Assessment of Insulin Resistance decreased from 3.31 ± 1.72 at baseline to 1.73 ± 1.08 (P < .001) after BPD, and the Matsuda index improved from 2.66 ± 1.79 to 4.73 ± 3.05 (P < .001). The lipid profile normalized (total cholesterol from 4.75 ± 1.18 to 3.32 ± 0.77 mmol/L, P < .001; low-density lipoprotein cholesterol from 2.92 ± 0.91 to 1.60 ± 0.51 mmol/L, P = .0001; high-density lipoprotein cholesterol from 0.97 ± 0.33 to 1.10 ± 0.35 mmol/L, P = .023; triglycerides from 2.52 ± 1.6 to 1.47 ± 0.67 mmol/L, P = .003). Neural network analysis showed that the end-study Matsuda index discriminated between responders and nonresponders with high accuracy (receiver operating characteristic area under the curve = 0.98%).Conclusion: Remission of NASH is driven by reversal of whole-body insulin resistance post intervention. [ABSTRACT FROM AUTHOR]

Background & Aims: The available literature on the effect of apolipoprotein C-III (ApoC-III) inhibition in MASLD reveals inconsistencies. The aim of the present work was to examine levels of ApoC-III in the entire spectrum of metabolic-dysfunction associated steatotic liver disease (MASLD)., Methods: This is a multicenter study involving patients enrolled in two gastroenterology-hepatology clinics (Greece and Australia) and in a bariatric-metabolic surgery clinic (Italy), with liver biopsy before and after bariatric surgery or lifestyle modification., Results: Comparing simple MASL to steatohepatitis (MASH) with fibrosis stage F ≥ 2 (at-risk MASH), revealed a marginally significant trend for decreased ApoC-III levels in the latter group (p = 0.07). Multi-adjusted analysis revealed an inverse association between ApoC-III and at-risk MASH (Odds Ratio per 1 mg/dL increase in ApoC-III  = 0.91, 95 % Confidence Interval (0.83, 0.99)). ApoC-III interacted with triglycerides in predicting at-risk MASH (p-for-interaction = 0.002). Participants with ApoC-III > median (∼3.75 mg/dL) and normal triglycerides (triglyceridese≤150 mg/dL) had the lowest likelihood to present at-risk MASH (31.8 %) in contrast with participants with ApoC-III < median and hypertriglyceridemia among whom at-risk MASH was recorded in 57.1 %. In multi-adjusted analysis participants with normal triglycerides and high ApoC-III had 64 % lower odds of at-risk MASH compared with their counterparts with ApoC-III < median (OR = 0.36, 95%CI (0.14, 0.86)). Among participants with hypertriglyceridemia, those with ApoC-III < median had less prevalent at-risk MASH compared with those with ApoC-III ≥ median (OR = 0.54, 95%CI (0.32, 0.98)); however in all cases significance was lost when liver enzymes were taken into account., Conclusions: In advanced disease stages, ApoC-III levels seem to be decreased and advanced organ damage may be a potential explanation. Mendelian randomization studies are needed to confirm or refute this hypothesis., Competing Interests: Conflict of interest CSM reports grants through his institution from Merck, Massachusetts Life Sciences Center and Boehringer Ingellheim, has been a shareholder of and has received grants through his Institution and personal consulting fees from Coherus Inc. and AltrixBio, he reports personal consulting fees and support with research reagents from Ansh Inc., collaborative research support from LabCorp Inc., reports personal consulting fees from Genfit, Lumos, Novo Nordisk, Amgen, Corcept, Intercept, 89 Bio, Madrigal and Regeneron, reports educational activity meals through his institution or national conferences from Esperion, Merck, Boehringer Ingelheim and travel support and fees from TMIOA, Elsevier, and the Cardio Metabolic Health Conference. None is related to the work presented herein. JG is supported by the Robert W. Storr Bequest to the Sydney Medical Foundation, University of Sydney; a National Health and Medical Research Council of Australia Grant (APP1053206), Project, Ideas and Investigator grants (APP2001692, APP1107178, APP1108422, APP1196492) and a Cancer Institute NSW grant (2021/ATRG2028). GP has served as Advisor and/or Lecturer for Abbvie, Albireo, Amgen, Dicerna, Elpen, Genesis, Gilead, GlaxoSmithKline, Ipsen, Janssen, Merck Sharp & Dohme, Novo Nordisk, Roche and Takeda and has received research grants from Abbvie, Gilead and Takeda., (Published by Elsevier Ltd.)