Can daily intake of aspirin and/or statins influence the behavior of non-muscle invasive bladder cancer? A retrospective study on a cohort of patients undergoing transurethral bladder resection

Background: This study aimed to evaluate the behavior of non-muscle-invasive bladder cancer (NMIBC) in patients submitted to transurethral bladder resection (TURB) comparing subjects in chronic therapy with aspirin, statins, or both drugs to untreated ones. Methods: This retrospective study was conducted on 574 patients diagnosed with NMIBC who underwent TURB between March 2008 and April 2013. The study population was divided into two main groups: treated (aspirin and/or statins) and untreated. The treated group was further divided into three therapeutic subgroups: Group A (100 mg of aspirin, daily for at least two years); Group B (20 mg or more of statins, daily for at least two years); and Group C (100 mg of aspirin and 20 mg of statins together). The mean follow-up of patients was 45.06 months. Results: No significant differences were observed among the different groups at baseline. On multivariate analysis, statin treatment, smokers and high stage disease (T1) achieved the level of independent risk factor for the occurrence of a recurrence. When patients were stratified according to the different treatment; patients treated with statins (Group B) presented an higher rate of failure (56/91 patients; 61.5%) when compared to Group A (42/98 patients; 42.9%), Group C (56/98; 57.1%) and (133/287 patients; 46.3%). This difference corresponds to a significant difference in recurrence failure free survival (p = 0.01). Conclusions: Our results suggest that long-term treatment with aspirin in patients with NMIBC might play a role on reducing the risk of tumor recurrence. In contrast, in our investigation data from statins and combination treatment groups showed increased recurrence rates. A long-term randomized prospective study could definitively assess the possible role of this widely used drugs in NMIBC

T1 Bladder Cancer: Comparison of the Prognostic Impact of Two Substaging Systems on Disease Recurrence and Progression and Suggestion of a Novel Nomogram

Background: The T1 substaging of bladder cancer (BCa) potentially impacts disease progression. The objective of the study was to compare the prognostic accuracy of two substaging systems on the recurrence and progression of primary pathologic T1 (pT1) BCa and to test a nomogram based on pT1 substaging for predicting recurrence-free survival (RFS) and progression-free survival (PFS).Methods: The medical records of 204 patients affected by pT1 BCa were retrospectively reviewed. Substaging was defined according to the depth of lamina propria invasion in T1(a-c) and the extension of the lamina propria invasion to T1-microinvasive (T1(m)) or T1-extensive (T1(e)). Uni- and multivariable Cox regression models evaluated the independent variables correlated with recurrence and progression. The predictive accuracies of the two substaging systems were compared by Harrell's C index. Multivariate Cox regression models for the RFS and PFS were also depicted by a nomogram.Results: The 5-year RFS was 47.5% with a significant difference between T1(c) and T1(a) (p = 0.02) and between T1(e) and T1(m) (p < 0.001). The 5-year PFS was 75.9% with a significant difference between T1(c) and T1(a) (p = 0.011) and between T1(e) and T1(m) (p < 0.001). Model T1(m-e) showed a higher predictive power than T1(a-c) for predicting RFS and PFS. In the univariate and multivariate model subcategory T1e, the diameter, location, and number of tumors were confirmed as factors influencing recurrence and progression after adjusting for the other variables. The nomogram incorporating the T1(m-e) model showed a satisfactory agreement between model predictions at 5 years and actual observations.Conclusions: Substaging is significantly associated with RFS and PFS for patients affected by T1 BCa and should be included in innovative prognostic nomograms

B-TURP versus HoLEP. Peri-operative outcomes and complications in frail elderly (>75 y.o.) patients. A prospective randomized study

Background: The aim of this study was to compare the peri-operative and functional results between trans-urethral resection of the prostate (TURP) and holmium laser enucleation of the prostate (HoLEP) in the treatment of benign prostatic hyperplasia (BPH) associated with lower urinary tract symptoms (LUTS) in middle-old patients. Materials and methods: This prospective single-center study included patients over 75 years old treated with B-TURP or HoLEP for BPH associated with LUTS with prostate volume (PV) <100 mL. Primary endpoints were the intra-operative blood loss, percentage of loss of hemoglobin, blood transfusion, complications, and the comparison of functional outcomes. All patients were evaluated at 1, 3, 6, and 12 months of follow-up. Results: Overall, 96 patients undergoing HoLEP and 104 B-TURP were eligible and enrolled for the study. Post-operative results showed statistically significant differences between the two groups, all in favor of HoLEP group, specifically in terms of removed prostate tissue, PV reduction rate, hemoglobin values at 24 h, hemoglobin loss, operative time, length of hospitalization, days of catheterization, and urinary flow rates. There was no significant difference in terms of postvoid residual urine volume, perioperative complication, blood transfusion, International Prostate Symptom Score (IPSS), and IPSS quality of life scores. Conclusions: In middle-old patients, the HoLEP technique represents a prostate size-independent treatment option with a more favorable safety profile defined by less bleeding, lower blood transfusions, and a significantly lower hemoglobin drop than B-TURP

Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance

Sewage metagenomics has risen to prominence in urban population surveillance of pathogens and antimicrobial resistance (AMR). Unknown species with similarity to known genomes cause database bias in reference-based metagenomics. To improve surveillance, we seek to recover sewage genomes and develop a quantification and correlation workflow for these genomes and AMR over time. We use longitudinal sewage sampling in seven treatment plants from five major European cities to explore the utility of catch-all sequencing of these population-level samples. Using metagenomic assembly methods, we recover 2332 metagenome-assembled genomes (MAGs) from prokaryotic species, 1334 of which were previously undescribed. These genomes account for ~69% of sequenced DNA and provide insight into sewage microbial dynamics. Rotterdam (Netherlands) and Copenhagen (Denmark) show strong seasonal microbial community shifts, while Bologna, Rome, (Italy) and Budapest (Hungary) have occasional blooms of Pseudomonas-dominated communities, accounting for up to ~95% of sample DNA. Seasonal shifts and blooms present challenges for effective sewage surveillance. We find that bacteria of known shared origin, like human gut microbiota, form communities, suggesting the potential for source-attributing novel species and their ARGs through network community analysis. This could significantly improve AMR tracking in urban environments.</p

Compositional data analysis applied to human microbiome network reconstruction

The comprehension of the human gut microbiome has been made possible by technological advances for performing culture-independent analyzes. Next Generation Sequencing techniques produce discrete counts as a result, describing only the relative abundances of each identified bacterial species: such data are of compositional type. Unfortunately the classic methods of analysis on this type of data can lead to completely wrong conclusions: the development of analysis methods for compositional data is still an open issue. The purpose of this work is the description of several analyzes based on compositional data of human gut microbiome. The first result, obtained with t-SNE dimensionality reduction algorithm, is that a different sample clustering was obtained based on the metrics used to define neighborhood. Next ,I applied a biomarker identification method based on the log-ratio variance, a statistical observable used with compositional data, that allowed to identify bacterial species associated to our case/control study design. In the last part I analyzed the problem of the reconstruction of networks of bacterial species. The main objective of the network analysis was to characterize microbiota ecosystem of healthy and infected subjects in our database. Several methods have been proposed to characterize the complex relationships between bacterial populations: in this work I applied the SPIEC-EASI method to reconstruct the correlation structure of the data, and compared the different results obtained. Finally, I propose a new method inspired by Kendall’s Tau correlation, adapted to the peculiarities of compositional data, that provided promising results. This research was made possible thanks to the collaboration with Prof. George Weinstock at the Jackson Laboratory research center (USA). One of the researche aims of JAX is the study and understanding of the gut microbiota for diagnostic purposes (in our case related to infection and diabetes)

Calcolo di ologrammi con Octave e Matlab

Questo scritto ha lo scopo di illustrare i principi dell’olografia digitale. Nella prima parte descriverò le basi dell’olografia per poi analizzare i processi numerici, svolti al computer, che permettono di simulare i fenomeni della diffrazione della luce incidente su di un ostacolo. Nella seconda parte esporrò un programma illustrativo, il quale ripercorre i passaggi fondamentali della Computer Generated Holography. Per la scrittura dei programmi utilizzerò OCTAVE, un’applicazione software open-source per l’analisi numerica in gran parte compatibile con MATLAB. Octave ha un insieme di funzionalità fornite per il calcolo matriciale ed è scritto in conformità dello standard POSIX nel linguaggio C++ usando le librerie Standard Template Library

Monitoring and preventing foodborne outbreaks: are we missing wastewater as a key data source?

In 2022, the number of foodborne outbreaks in Europe increased by 43.9%, highlighting the need to improve surveillance systems and design outbreak predictive tools. This review aims to assess the scientific literature describing wastewater surveillance to monitor foodborne pathogens in association with clinical data. In the selected studies, the relationship between peaks of pathogen concentration in wastewater and reported clinical cases is described. Moreover, details on analytical methods to detect and quantify pathogens as well as wastewater sampling procedures are discussed. Few papers show a statistically significant correlation between high concentrations of foodborne pathogens in wastewater and the occurrence of clinical cases. However, monitoring pathogen concentration in wastewater looks like a promising and cost-effective strategy to improve foodborne outbreak surveillance. Such a strategy can be articulated in three steps, where the first one is testing wastewater with an untargeted method, like shotgun metagenomic, to detect microorganisms belonging to different domains. The second consists of testing wastewater with a targeted method, such as quantitative polymerase chain reaction, to quantify those specific pathogens that in the metagenomic dataset display an increasing trend or exceed baseline concentration thresholds. The third involves the integrated wastewater and clinical data analysis and modeling to find meaningful epidemiological correlations and make predictions

Pelvic floor muscle rehabilitation for patients with lifelong premature ejaculation: a novel therapeutic approach.

Objectives: Premature ejaculation is the most common male sexual disorder. The aim of the study was to evaluate the possible therapeutic role of pelvic floor muscle rehabilitation in patients affected by lifelong premature ejaculation. Methods: We treated 40 men with lifelong premature ejaculation, reporting, a baseline intravaginal ejaculatory latency time (IELT) < 1 min, with 12-week pelvic floor muscle rehabilitation. Results: At the end of the rehabilitation, mean IELTs were calculated to evaluate the effectiveness of the therapy. At the end of the treatment, 33 (82.5%) of the 40 patients gained control of their ejaculatory reflex, with a mean IELT of 146.2 s (range: 123.6152.4 s). A total of 13 out of 33 (39%) patients were evaluated at 6 months follow up, and they maintained a significant IELT (112.6 s) compared with their initial IELT (mean 39.8 s). Conclusions: The results obtained in our subjects treated with pelvic floor rehabilitation are promising. This therapy represents an important cost reduction compared with the standard treatment (selective serotonin reuptake inhibitors). Based on the present data, we propose pelvic floor muscle rehabilitation as a new, viable therapeutic option for the treatment of premature ejaculation. © The Author(s), 2014.OBJECTIVES: Premature ejaculation is the most common male sexual disorder. The aim of the study was to evaluate the possible therapeutic role of pelvic floor muscle rehabilitation in patients affected by lifelong premature ejaculation. METHODS: We treated 40 men with lifelong premature ejaculation, reporting, a baseline intravaginal ejaculatory latency time (IELT) ≤ 1 min, with 12-week pelvic floor muscle rehabilitation. RESULTS: At the end of the rehabilitation, mean IELTs were calculated to evaluate the effectiveness of the therapy. At the end of the treatment, 33 (82.5%) of the 40 patients gained control of their ejaculatory reflex, with a mean IELT of 146.2 s (range: 123.6-152.4 s). A total of 13 out of 33 (39%) patients were evaluated at 6 months follow up, and they maintained a significant IELT (112.6 s) compared with their initial IELT (mean 39.8 s). CONCLUSIONS: The results obtained in our subjects treated with pelvic floor rehabilitation are promising. This therapy represent