Lessons learned during the covid-19 virus pandemic

Si definiscono alcune evidenze nella prevenzione di diffusione del COVID1

Shear stress influences the release of platelet derived growth factor and basic fibroblast growth factor by arterial smooth muscle cells

Objectives: To determine the correlation between haemodynamic forces and the release of two mitogens for smooth muscle cells (SMC): Platelet Derived Growth Factor (PDGF) and basic Fibroblast Growth Factor (bFGF). Methodology: Bovine aortic smooth muscle cells were seeded on fibronectin coated polystyrene cylinders and allowed to reach confluence. The cells were subjected to a laminar flow of 50 cc/min (3 dyne/cm2), 100 cc/min (6 dyne/cm2) and 150 cc/min (9 dyne/cm2) in an in vitro system. Control cells were subjected to similar incubation conditions without flow. Principal results: Shear stress increased the release of mitogens by SMC. The release of mitogens was proportional to the level of shear stress and was still evident 24 hours after flow cessation. Conditioned serum-free medium from SMC subjected to shear stress increased tritiated thymidine uptake in Swiss 3T3 fibroblasts 13-fold as compared to conditioned serum-free medium from control SMC and not subjected to shear stress (p < 0.01) and threefold as compared to standard control (p < 0.001). Addition of an excess of anti-PDGF antibody reduced the mitogenic activity of the conditioned medium by 30% (p < 0.01). Addition of an excess of anti-bFGF antibody reduced the mitogenic activity of the conditioned medium by 60% (p < 0.01). Conclusions: Increasing shear stress promotes the release of both PDGF and bFGF from arterial SMC in culture and is a possible explanation for atherosclerosis formation

Acute deep vein thrombosis in COVID 19 hospitalized patients. Risk factors and clinical outcomes

Nello studio vengono analizzati i fattori di rischio in pazienti con infezione da COVID 19 e trombosi venosa profond

Palliative surgery or metallic stent positioning for advanced gastric cancer: differences in QOL

Background and Objectives: Twenty percent of the patients affected with stage IV antropyloric stomach cancer are hospitalized with a gastric outlet obstruction syndrome (GOOS) requiring its resolution to improve the quality of life (QoL).We present our preliminary short- and mid-term results regarding the influence of endoscopic placement of self-expandable metal stent (SEMS) or open stomach-partitioning gastrojejunostomy in QoL. Materials and Methods: In this prospective randomized longitudinal cohort trial, we randomly assigned 27 patients affected with stage IV antropyloric stomach cancer into two groups: Group 1 (13 patients) who underwent SEMS positioning and Group 2 (14 patients) in whom open stomach-partitioning gastrojejunostomy was performed. The Karnofsky performance scale and QoL assessment using the EQ-5D-5L™ questionnaire was administered before treatment and thereafter at 1, 3, and 6 months. Results: At 1-month, index values showed a statistically significant deterioration of the QoL in patients of Group 2 when compared to those of Group 1 (p = 0.004; CI: 0.04 to 0.21). No differences among the groups were recorded at 3-month; whereas, at 6-month, the index values showed a statistically significant deterioration of the QoL in patients of Group 1 (p = 0.009; CI: -0.25 to -0.043). Conclusions: Early QoL of patients affected with stage IV antropyloric cancer and symptoms of GOOS is significantly better in patients treated with SEMS positioning but at 6-month the QoL significantly decrease in this group of patients. We explained the reasons of this fluctuation with the higher risk of re-hospital admission in the SEMS group

Cardiometabolic multimorbidity is associated with a worse Covid-19 prognosis than individual cardiometabolic risk factors. A multicentre retrospective study (CoViDiab II)

Background: Cardiometabolic disorders may worsen Covid-19 outcomes. We investigated features and Covid-19 outcomes for patients with or without diabetes, and with or without cardiometabolic multimorbidity. Methods: We collected and compared data retrospectively from patients hospitalized for Covid-19 with and without diabetes, and with and without cardiometabolic multimorbidity (defined as ≥ two of three risk factors of diabetes, hypertension or dyslipidaemia). Multivariate logistic regression was used to assess the risk of the primary composite outcome (any of mechanical ventilation, admission to an intensive care unit [ICU] or death) in patients with diabetes and in those with cardiometabolic multimorbidity, adjusting for confounders. Results: Of 354 patients enrolled, those with diabetes (n = 81), compared with those without diabetes (n = 273), had characteristics associated with the primary composite outcome that included older age, higher prevalence of hypertension and chronic obstructive pulmonary disease (COPD), higher levels of inflammatory markers and a lower PaO2/FIO2 ratio. The risk of the primary composite outcome in the 277 patients who completed the study as of May 15th, 2020, was higher in those with diabetes (Adjusted Odds Ratio (adjOR) 2.04, 95%CI 1.12-3.73, p = 0.020), hypertension (adjOR 2.31, 95%CI: 1.37-3.92, p = 0.002) and COPD (adjOR 2.67, 95%CI 1.23-5.80, p = 0.013). Patients with cardiometabolic multimorbidity were at higher risk compared to patients with no cardiometabolic conditions (adjOR 3.19 95%CI 1.61-6.34, p = 0.001). The risk for patients with a single cardiometabolic risk factor did not differ with that for patients with no cardiometabolic risk factors (adjOR 1.66, 0.90-3.06, adjp = 0.10). Conclusions: Patients with diabetes hospitalized for Covid-19 present with high-risk features. They are at increased risk of adverse outcomes, likely because diabetes clusters with other cardiometabolic conditions

Bayesian profiling of molecular signatures to predict event times

BACKGROUND: It is of particular interest to identify cancer-specific molecular signatures for early diagnosis, monitoring effects of treatment and predicting patient survival time. Molecular information about patients is usually generated from high throughput technologies such as microarray and mass spectrometry. Statistically, we are challenged by the large number of candidates but only a small number of patients in the study, and the right-censored clinical data further complicate the analysis. RESULTS: We present a two-stage procedure to profile molecular signatures for survival outcomes. Firstly, we group closely-related molecular features into linkage clusters, each portraying either similar or opposite functions and playing similar roles in prognosis; secondly, a Bayesian approach is developed to rank the centroids of these linkage clusters and provide a list of the main molecular features closely related to the outcome of interest. A simulation study showed the superior performance of our approach. When it was applied to data on diffuse large B-cell lymphoma (DLBCL), we were able to identify some new candidate signatures for disease prognosis. CONCLUSION: This multivariate approach provides researchers with a more reliable list of molecular features profiled in terms of their prognostic relationship to the event times, and generates dependable information for subsequent identification of prognostic molecular signatures through either biological procedures or further data analysis

Letter by Sterpetti regarding article, "G-CSF for extensive STEMI. Results from the STEM-AMI outcome CMR substudy"

La nota evidenzia i possibili effetti del G-CSF nel migliorare le condizioni cardiache dopo infarto cardiac

COVID-19 diffusion capability is its worst, unpredictable chracateristic. How to visit a patient from a distance

Si definiscono i parametri di come visitare un paziente con COVID 19 attraverso una videoconferenza