Background: Sarcopenia is now recognized more and more as a biomarker with poor outcomes in cirrhotic patients.Aims: The purpose of this study was to investigate the prevalence of sarcopenia in patients with liver cirrhosis and prospectively investigate the association between sarcopenia and different complications and its impact on survival.Material and Methods: This prospective study included patients with liver cirrhosis admitted to our department from 2018 to 2020. Sarcopenia was assessed according to EWGSOP2 criteria, incorporating low Handgrip strength (<27 kg for men and <16 kg for women) with low skeletal muscle index evaluated by CT (<50 for men and <39 for women). Associations between sarcopenia and portal hypertension-related complications, infectious complications, and risk of hepatocellular carcinoma, the number of in-hospital days, 30-day readmission, and survival over the next 6 and 12 months were analyzed.Results: A total of 201 patients were enrolled in the study, 63.2% male, mean age 61.65 ± 9.49 years, 79.6% Child-Pugh class B and C. The primary etiology of liver cirrhosis was alcohol consumption (55.2%). The prevalence of sarcopenia was 57.2 %, with no significant differences between the male and female groups. Significant associations were found between sarcopenia and portal hypertension-related complications, infectious complications, and risk of hepatocellular carcinoma. In multivariate analysis, sarcopenia was assessed as a risk factor alone, increasing the risk for ascites 3.78 times, hepatocellular carcinoma by 9.23 times, urinary tract infection by 4.83 times, and spontaneous peritonitis 2.49 times. Sarcopenia was associated with more extended hospital stay and higher 30 days readmission. Six months and 1-year survival were reduced in the sarcopenia group than in the non-sarcopenia group (p < 0.0001).Conclusion: Sarcopenia is a common complication of liver cirrhosis and associates with adverse health-related outcomes and poor survival rates.

Malnutrition and sarcopenia are common complications of liver cirrhosis. This study compares the performance of different nutritional assessment techniques in detecting malnourished patients. Data from 156 patients with liver cirrhosis were collected. We assessed the nutritional status of these patients according to: Subjective Global Assessment (SGA); Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT), skinfold thickness (TSF), mid-upper arm circumference (MUAC), mid-upper arm muscle circumference (MUMC), handgrip strength (HGS), body mass index (BMI), and skeletal muscle index (SMI) evaluated by Contrast-Enhanced Computed Tomography (CT). According to EWGSOP2 criteria, combining low HGS with low SMI, the prevalence of malnutrition/sarcopenia was 60.2%. RFH-NPT, MUAC, MAMC, and HGS were excellent tests for detecting malnourished patients. Combining RFH-NPT with MUAC or MUMC increased diagnosis accuracy, AUC = 0.89, p < 0.0001. Age, Child-Pugh class C, albumin level, vitamin D deficiency, male gender, and alcoholic etiology were significantly associated with malnutrition. In conclusion, the prevalence of malnutrition among patients with cirrhosis was relatively high. Our study highlights the potential use of a simpler and inexpensive alternative that can be used as a valuable tool in daily practice, the combination between RFH-NPT and MUAC.

Acute pancreatitis (AP) remains a challenging medical condition, where a deeper metabolic insight could pave the way for innovative treatments. This research harnessed serum metabolomics to discern potential diagnostic markers for AP and distinguish between its biliary (BAP) and alcohol-induced (AAP) forms. Leveraging high-performance liquid chromatography coupled with mass spectrometry, the metabolic signatures of 34 AP patients were contrasted against 26 healthy participants, and then between different etiologies of AP. The results identified metabolites primarily from glycerophospholipids, glycerolipids, fatty acyls, sterol lipids, and pteridines and derivative classes, with the Human Metabolome Database aiding in classification. Notably, these metabolites differentiated AP from healthy states with high AUROC values above 0.8. Another set of metabolites revealed differences between BAP and AAP, but these results were not as marked as the former. This lipidomic analysis provides an introduction to the metabolic landscape of acute pancreatitis, revealing changes in multiple lipid classes and metabolites and identifying these metabolites. Future research could add and discover new diagnostic biomarkers and therapeutic strategies enhancing the management of acute pancreatitis.

Background/Objectives: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of chronic liver disease and is closely linked to obesity and metabolic syndrome, necessitating efficient, non-invasive diagnostic tools. Methods: This monocentric cross-sectional study included 178 patients (69.1% with MASLD, 30.9% normal subjects; 55% males; mean age 52.79 ± 12.56 years) who underwent anthropometric and biochemical assessments to determine the visceral adiposity index (VAI), triglyceride–glucose index (TyG), and lipid accumulation product (LAP), along with abdominal ultrasound and vibration-controlled transient elastography (VCTE) with controlled attenuation parameter (CAP). Results: Patients were categorized based on steatosis severity: S0–S1 (n = 64) and S2–S3 (n = 114). The TyG, VAI, and LAP values were significantly higher in S2–S3 cases (p < 0.0001) and showed moderate-to-strong correlations with both steatosis and fibrosis. Predictive models yielded AUROCs of 0.80 (TyG), 0.83 (VAI), and 0.79 (LAP) for diagnosing S2–S3 steatosis. The NAFLD fibrosis score (NFS) and FIB-4 classified fibrosis severity, but 36.8% of cases remained unclassified. Applying the TyG and VAI thresholds reduced this rate to 26.3%. Conclusions: These findings support the TyG, VAI, and LAP as valuable non-invasive biomarkers for MASLD assessment, enhancing the classification accuracy when conventional fibrosis scores are inconclusive.

Background: Contrast-enhanced ultrasound (CEUS) has become the preferred method for many clinicians in evaluating focal liver lesions (FLLs) initially identified through standard ultrasound. However, in clinical practice, certain lesions may deviate from the typical enhancement patterns outlined in EFSUMB guidelines. Methods: This study aims to assess FLLs that remained inconclusive or misdiagnosed after CEUS evaluation, spanning eight years of single-center experience. Following CEUS, all FLLs underwent secondary imaging (CT, MRI) or histopathological analysis for diagnostic confirmation. Results: From the initial 979 FLLs, 350 lesions (35.7%) were either inconclusive or misdiagnosed by CEUS, with hepatocellular carcinoma (HCC) and liver metastases constituting the majority of these cases. The most frequent enhancement pattern in inconclusive lesions at CEUS was hyper-iso-iso. Factors such as advanced liver fibrosis, adenomas, and cholangiocarcinoma were significantly associated with higher rates of diagnostic inaccuracies. Conclusions: Advanced liver fibrosis, adenomas, and cholangiocarcinoma were significantly associated with increased diagnostic challenges, emphasizing the need for supplementary imaging techniques.

Aims: to evaluate the accuracy of LR-5 category from the latest Contrast-Enhanced Ultrasound algorithm (ACR CEUS LI-RADSv 2017) for the noninvasive diagnosis of hepatocellular carcinoma (HCC), in a real-life cohort of high-risk patients. Material and methods: We retrospectively re-analysed the CEUS studies of 464 focal liver lesions (FLL) in 382 patients at high-risk for HCC (liver cirrhosis of any aetiology, chronic B or C hepatitis with severe fibrosis) using the ACR CEUS LI-RADSv 2017 algorithm. CEUS LI-RADS categories used for the diagnosis of HCC were: CEUS LR-5 (definitely HCC) and CEUS LR-TIV (HCC with macrovascular invasion). Contrast-enhanced CT, contrast-enhanced MRI, or histology were used as diagnostic reference methods to evaluate the CEUS LI-RADS classification of the 464 lesions. Results: According to the reference method, the 464 lesions were classified as follows: 359 HCCs, 68 non-HCC-non-malignant lesions and 37 non-HCC malignant lesions. The diagnostic accuracy of LR-5 category for the diagnosis of hepatocellular carcinoma was 76.9%. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 71.9%, 94.3 %, 97.7% and 49.5%, respectively. Conclusions: LR-5 category from ACR CEUS LI-RADSv 2017 algorithm, has good sensitivity, excellent specificity, and PPV for the diagnosis of HCC. The HCC rate increases from LR-3 to LR-5.