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1.
Clin Nutr ESPEN ; 47: 252-259, 2022 02.
Article in English | MEDLINE | ID: mdl-35063210

ABSTRACT

BACKGROUND: Sarcopenia was reported to be associated with poor clinical outcome, higher incidence of community-acquired pneumonia, increased risk of infections and reduced survival in different clinical settings. The aim of our work is to evaluate the prognostic role of sarcopenia in patients with the 2019 novel coronavirus disease (COVID-19). MATERIALS AND METHODS: 272 COVID-19 patients admitted to the University Hospital of Modena (Italy) from February 2020 to January 2021 were retrospectively studied. All included patients underwent a chest computed tomography (CT) scan to assess pneumonia during their hospitalization and showed a positive SARS-CoV-2 molecular test. Sarcopenia was defined by skeletal muscle area (SMA) evaluation at the 12th thoracic vertebra (T12). Clinical, laboratory data and adverse clinical outcome (admission to Intensive Care Unit and death) were collected for all patients. RESULTS: Prevalence of sarcopenia was high (41.5%) but significantly different in each pandemic wave (57.9% vs 21.6% p < 0.0000). At the multivariate analysis, sarcopenia during the first wave (Hazard Ratio 2.29, 95% confidence intervals 1.17 to 4.49 p = 0.0162) was the only independent prognostic factor for adverse clinical outcome. There were no significant differences in comorbidities and COVID19 severity in terms of pulmonary involvement at lung CT comparing during the first and second wave. Mixed pattern with peripheral and central involvement was found to be dominant in both groups. CONCLUSION: We highlight the prognostic impact of sarcopenia in COVID-19 patients hospitalized during the first wave. T12 SMA could represent a potential tool to identify sarcopenic patients in particular settings. Further studies are needed to better understand the association between sarcopenia and COVID-19.


Subject(s)
COVID-19 , Sarcopenia , Humans , Pandemics , Retrospective Studies , SARS-CoV-2 , Sarcopenia/diagnosis , Sarcopenia/epidemiology
2.
Aliment Pharmacol Ther ; 48(5): 538-546, 2018 09.
Article in English | MEDLINE | ID: mdl-29984415

ABSTRACT

BACKGROUND: A gluten-free diet (GFD) is known to be associated with altered macronutrient intake and metabolic syndrome. Nonalcoholic fatty liver disease (NAFLD) is the hepatic hallmark of metabolic syndrome. The risk of NAFLD in patients with coeliac disease (CD) adhering to a GFD remains to be fully investigated; in particular, data from real-life clinical settings are lacking. AIM: To assess the prevalence and relative risk of NAFLD in CD patients treated with a GFD. METHODS: Case-control study, with prospective enrolment of CD outpatients following a GFD and controls. Patients were matched for demographic characteristics (age and gender) and metabolic risk factors (overweight, diabetes mellitus, total cholesterol, and triglycerides) using a 1:1 ratio. NAFLD was diagnosed according to the European Association for the Study of the Liver criteria. RESULTS: 202 CD patients and 202 controls were compared. The raw prevalence of NAFLD was 34.7% and 21.8% in the CD and control group, respectively (P = 0.006). Binary logistic regression confirmed an increased risk of NAFLD in the CD group (adjusted odds ratio = 2.90, 95% confidence interval: 1.64-5.15, P < 0.001). Additionally, the relative risk for NAFLD was notably higher in non-overweight CD patients (adjusted odds ratio = 5.71, 95% confidence interval: 2.30-14.19, P < 0.001). CONCLUSIONS: More than one-third of CD patients adhering to a GFD had concurrent NAFLD, accounting for a three-fold increased risk compared to the general population. Dietary advice provided using a patient-tailored approach should assist CD patients with NAFLD in achieving an appropriate nutritional intake whilst reducing the risk of long-term liver-related events.


Subject(s)
Celiac Disease/complications , Celiac Disease/diet therapy , Celiac Disease/epidemiology , Diet, Gluten-Free , Non-alcoholic Fatty Liver Disease/epidemiology , Non-alcoholic Fatty Liver Disease/etiology , Adult , Case-Control Studies , Diet, Gluten-Free/adverse effects , Diet, Gluten-Free/statistics & numerical data , Female , Humans , Male , Metabolic Syndrome/complications , Metabolic Syndrome/epidemiology , Middle Aged , Prevalence , Risk , Risk Factors
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