The role of teicoplanin in the treatment of SARS-CoV-2 infection: a retrospective study in critically ill COVID-19 patients (Tei-COVID Study)

Teicoplanin has a potential antiviral activity expressed against SARS-CoV-2 and was suggested as a complementary option to treat COVID-19 patients. In this multicentric, retrospective, observational research the aim was to evaluate the impact of teicoplanin on the course of COVID-19 in critically ill patients

Years of life that could be saved from prevention of hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) causes premature death and loss of life expectancy worldwide. Its primary and secondary prevention can result in a significant number of years of life saved. AIM: To assess how many years of life are lost after HCC diagnosis. METHODS: Data from 5346 patients with first HCC diagnosis were used to estimate lifespan and number of years of life lost after tumour onset, using a semi-parametric extrapolation having as reference an age-, sex- and year-of-onset-matched population derived from national life tables. RESULTS: Between 1986 and 2014, HCC lead to an average of 11.5 years-of-life lost for each patient. The youngest age-quartile group (18-61 years) had the highest number of years-of-life lost, representing approximately 41% of the overall benefit obtainable from prevention. Advancements in HCC management have progressively reduced the number of years-of-life lost from 12.6 years in 1986-1999, to 10.7 in 2000-2006 and 7.4 years in 2007-2014. Currently, an HCC diagnosis when a single tumour <2 cm results in 3.7 years-of-life lost while the diagnosis when a single tumour 65 2 cm or 2/3 nodules still within the Milan criteria, results in 5.0 years-of-life lost, representing the loss of only approximately 5.5% and 7.2%, respectively, of the entire lifespan from birth. CONCLUSIONS: Hepatocellular carcinoma occurrence results in the loss of a considerable number of years-of-life, especially for younger patients. In recent years, the increased possibility of effectively treating this tumour has improved life expectancy, thus reducing years-of-life lost

The role of teicoplanin in the treatment of SARS‐CoV‐2 infection: A retrospective study in critically ill COVID‐19 patients (Tei‐COVID study)

Teicoplanin has a potential antiviral activity expressed against SARS-CoV-2 and was suggested as a complementary option to treat COVID-19 patients. In this multicentric, retrospective, observational research the aim was to evaluate the impact of teicoplanin on the course of COVID-19 in critically ill patients

Application of the Intermediate-Stage Subclassification to Patients with Untreated Hepatocellular Carcinoma

OBJECTIVES:The Barcelona Clinic Liver Cancer (BCLC) intermediate stage (BCLC B) includes a heterogeneous population of patients with hepatocellular carcinoma (HCC). Recently, in order to facilitate treatment decisions, a panel of experts proposed to subclassify BCLC B patients. In this study, we aimed to assess the prognostic capability of the BCLC B stage reclassification in a large cohort of patients with untreated HCC managed by the Italian Liver Cancer Group.METHODS:We assessed the prognosis of 269 untreated HCC patients observed in the period 1987-2012 who were reclassified according to the proposed subclassification of the BCLC B stage from stage B1 to stage B4. We evaluated and compared the survival of the various substages.RESULTS:Median survival progressively decreased from stage B1 (n=65, 24.2%: 25 months) through stages B2 (n=105, 39.0%: 16 months) and B3 (n=22, 8.2%: 9 months), to stage B4 (n=77, 28.6%: 5 months; P<0.0001). Moreover, we observed a significantly different survival between contiguous stages (B1 vs. B2, P=0.0002; B2 vs. B3, P<0.0001; B3 vs. B4, P=0.0219). In multivariate analysis, the BCLC B subclassification (P<0.0001), MELD score (P=0.0013), and platelet count (P=0.0252) were independent predictors of survival.CONCLUSIONS:The subclassification of the intermediate-stage HCC predicts the prognosis of patients with untreated HCC. The prognostic figures identified in this study may be used as a benchmark to assess the efficacy of therapeutic intervention in the various BCLC B substages, whereas it remains to be established whether incorporation of the MELD score might improve the prognosis of treated patients

Recalibrating survival prediction among patients receiving trans\u2010arterial chemoembolization for hepatocellular carcinoma

Background &amp; Aims The Pre-TACE-Predict model was devised to assess prognosis of patients treated with trans-arterial chemoembolization (TACE) for hepatocellular carcinoma (HCC). However, before entering clinical practice, a model should demonstrate that it performs a useful role. Methods We performed an independent external validation of the Pre-TACE model in a cohort that differs in setting and time period from the one that generated the original model. Data from 826 patients treated with TACE for naïve HCC (2008-2018) were used to assess calibration and discrimination of the Pre-TACE-Predict model. Results The four risk-categories identified by the Pre-TACE-Predict model had gradient monotonicity, with median survivals of 52.0, 36.2, 29.9, and 14.1 months respectively. However, predicted survivals systematically underestimated observed survivals (R2: 0.667). A recalibration was adopted maintaining fixed the prognostic index and modifying the baseline survival function. This resulted in an almost perfect calibration (R2: 0.995) in all the four risk categories. Cox regressions showed that aetiology and macrovascular invasion, included in the Pre-TACE-Predict model, had no prognostic impact in the present study population, and that coefficients for tumour size and multiplicity were overestimated. The c-index was similar to that of the m-HAP-III, but higher than those of HAP, m-HAP-II and the six-and-twelve models. Conclusions The recalibration of Pre-TACE-Predict model improved the estimation of survival probabilities of HCC patients treated with TACE. The highest discriminatory ability of the Pre-TACE-model in comparison to other available models, together with risk stratification and recalibration, makes it the best prognostic tool currently available for these patients