Metabolic associated fatty liver disease is highly prevalent in the post-acute COVID syndrome

Background and Aims : Recently a proposal has been advanced to change the traditional definition of Non-Alcoholic Fatty Liver Disease to Metabolic Associated Fatty Liver Disease (MAFLD), to reflect the cluster of metabolic abnormalities that may be more closely associated with cardiovascular risk. Long COVID is a smoldering inflammatory condition, characterized by a number of symptom clusters. This study aims to determine the prevalence of MAFLD in patients with post-acute COVID syndrome (PACS) and its association with other PACS-cluster phenotypes. Method(s): We included 235 patients followed at a single university outpatient clinic. The diagnosis of PACS was based on >=1 cluster of symptoms: respiratory, neurocognitive, musculoskeletal, psychological, sensory, dermatological. The outcome was prevalence of MAFLD detected by transient elastography during the first post-discharge follow-up outpatient visit. The prevalence of MAFLD at the time of hospital admission was calculated retrospectively using the hepatic steatosis index. Result(s): Of 235 patients, 162 (69%) were men (median age 61). The prevalence of MAFLD was 55.3% at follow-up and 37.3% on admission (P<0.001). Insulin resistance (OR=1.5, 95%CI: 1.14-1.96), body mass index (OR=1.14, 95%CI: 1.04-1.24), and the metabolic syndrome (OR=2.54, 95%CI: 1.13-5.68), were independent predictors of MAFLD. The number of PACS clusters was inversely associated with MAFLD (OR=0.86, 95%CI: 0.76-0.97). Thirty-one patients (13.2%) had MAFLD with no other associated PACS clusters. All correlations between MAFLD and other PACS clusters were weak. Conclusion(s): MAFLD was highly prevalent after hospital discharge and may represent a specific PACS-cluster phenotype, with potential long-term metabolic and cardiovascular health implications. Copyright © 2022

Is the rezum treatment effective in patients with BPH complicated by urinary chronic retention? Our preliminary experience

Author of the study: Rezum is one of the most promising minimally invasive technologies for the treatment of BPH. During Covid pandemic era we used this technique extending the indication even in patients carryng urinary catheter or in patients with prostatic adenoma volume higher than 80 ml. In this short communication we report the preliminary results of our experience. Material(s) and Method(s): From January 2019 to September 2021 92 patients underwent a Rezum treatment. Of these patients 51 (55%) carrying catheter for urinary retention secondary to BPH. Inclusion criteria was: age >18 yo, catheterization time >3 months, prostate adenoma volume >30 cc. A 6 months follow up was offered to each patient including uroflometry and PSA. Result(s): Mean age was 75 yo (62-84), mean iPSA 3,7 ng/ml (1,9-5,8), mean adenoma volume 92 cc(65-270). Mean catheterization time before treatment 7,8 months (3-14). Mean operative time (12,5 min (11-14). All patients were discharged 4 hours after the treatment. Catheter removal was performed after 4/6 weeks. 48 (94%) patients obtained a spontaneous micturition. Mean Qmax at 6 months 12,5 cc/ sec, mean Post-void residual 120 cc. In 3 patients we observed post operative IVU treated with antibiotics. 21 (44%) patients continue alpha-litic therapy after Rezum treatment. In 2 patients it was necessary performing a disobstructive surgery. Conclusion(s): Rezum may represent a possible minimally invasive therapeutic strategy for BPH complicated by urinary chronic retention whenever other procedures aren't feasible. Despite the technical card indications, we successfully treated even prostate adenoma volumes higher than 80 ml. In some cases oral therapy was still necessary after the procedure. Our preliminary results are encouraging to continue to performing this procedure in these patients but further studies with longer follow up are needed Copyright © 2022 European Association of Urology. Published by Elsevier B.V.

Increased COVID-19 mortality in patients with rheumatic diseases: results from the CONTROL-19 study by the Italian Society for Rheumatology

OBJECTIVES: To investigate differences in coronavirus disease 2019 (COVID-19) mortality between patients with rheumatic musculoskeletal diseases (RMD) and the general population in Italy. METHODS: We analysed the data from the national surveillance study promoted by the Italian Society for Rheumatology (CONTROL-19 database) including patients with RMD and COVID-19 between 26 March 2020 and 29 November 2020, compared with official data from the Italian population (within the same period) adjusted for age, sex and geographic location. The main outcome of the analyses was mortality. The relationship between RMD and mortality was analysed using adjusted logistic models and sensitivity analyses were conducted to support the robustness of our results. RESULTS: We included 668 RMD patients (62.7% with inflammatory arthritis, 28.6% with systemic autoimmune diseases), who had a mean age of 58.4 years and of which 66% were female. Compared to the general population, the RMD population showed an increased risk of death (OR 3.10 (95% CI 2.29-4.12)), independently from the differences in age and sex distribution. Even after considering the potential influence of surveillance bias, the OR was 2.08 (95% CI: 1.55-2.73). Such excess of risk was more evident in the subgroup of younger patients, and more consistent in women. Subjects with systemic autoimmune diseases showed a higher risk of death than patients with any other RMDs. CONCLUSIONS: Patients with RMD and COVID-19 infection evidenced a significant increase in mortality during the first pandemic phases in Italy. These findings support the need for strong SARS-CoV-2 prevention in patients with rheumatic diseases.

COVID-19 cumulative incidence, intensive care, and mortality in Italian regions compared to selected European countries.

BACKGROUND: The high contagiousness and rapid spreading of the coronavirus disease 2019 (COVID-19) has caused a high number of critical to severe life-threatening cases, which required urgent hospital admission and treatment in intensive care units (ICUs). The pandemic has been a tough test for all European national health systems and their capability to provide an adequate reaction. METHODS: The present work aims to reveal correlations between parameters such as COVID-19 incidence, ICU bed occupancy, ICU excess area, and mortality in Italian regions. Public data for the period of March 1 to July 16, 2020, were analyzed using several mathematical and statistical methods. RESULTS: The analysis defined two separate groups of Italian regions. The examined variables considered within these groups were interlinked and dependent on each other. The regions of the two groups shared the same kind of fitted model (linear) explaining mortality as a function of cumulative incidence, but with higher value of the constant in one group, so characterized by a high intrinsic "strength" of the pandemic, certainly playing a major role in the generation of a large number of severe and life-threatening cases. These results are confirmed at European level. Other factors may condition mortality and be linked to incidence, such as ICU saturation and excess. CONCLUSIONS: These quantitative results could be a very helpful tool to set up preventive measures and optimize biomedical interventions before the pandemic, in its recurrent waves, could overcome the reaction capacity of any public health system.

Prognostic bioindicators in severe COVID-19 patients.

BACKGROUND: Severe acute respiratory syndrome caused by novel coronavirus 2 (SARS-CoV-2) emerged in Wuhan (China) in December 2019. Here we evaluated a panel of biomarkers to phenotype patients and to define the role of immuno-inflammatory mediators as biomarkers of severity. MATERIALS AND METHODS: Serum samples were obtained from 24 COVID-19 patients on admission to hospital, before any treatment or infusion of intravenous steroids or invasive ventilation. KL-6 IL-6 and C-peptide were measured by chemiluminescent enzyme immunoassay. IL-6 assay was validated for accuracy and precision. The validity of variables used to distinguish severe from mild-to-moderate patients was assessed by areas under curves (AUC) of the receiver operating characteristic (ROC) and logistic regression was performed to combine parameters of the two groups. RESULTS: In the severe group, IL-6, CRP and KL-6 concentrations were significantly higher than in mild-to-moderate patients. KL-6, IL-6 and CRP concentrations were directly correlated with each other. ROC curve analysis of the logistic regression model including IL-6, KL-6 and CRP showed the best performance with an AUC of 0.95. CONCLUSIONS: Besides corroborating previous reports of over-expression of IL-6 in severe COVID-19 patients requiring mechanical ventilation, analytical determination of other mediators showed that IL-6 concentrations were correlated with those of KL-6 and CRP. The combination of these three prognostic bioindicators made it possible to distinguish severe COVID-19 patients with poor prognosis from mild-to-moderate patients.