The socioeconomic determinants of cancer

This paper provides a synthesis on socioeconomic inequalities in cancer incidence, mortality and survival across countries and within countries, with particular focus on the Italian context; the paper also describes the underlying mechanisms documented for cancer incidence, and reports some remarks on policies to tackle inequalities

Construction of a frailty indicator with partially ordered sets: a multiple outcome proposal based on administrative healthcare data

Given the progressive ageing of Italian and European populations, chronic diseases attributable to ageing are rising steeply, calling for new strategies for health resources management and implementation of prevention policies. Among chronic patients, frail subjects have special and wider care needs, together with an increased risk of adverse health outcomes. Thus, their identification is a fundamental goal, claimed as the first step of the Italian National Program for Chronic Diseases

The double game played by Th17 cells in infection: host defense and immunopathology

T-helper 17 (Th17) cells represent a subpopulation of CD4+ T lymphocytes that play an essential role in defense against pathogens. Th17 cells are distinguished from Th1 and Th2 cells by their ability to produce members of the interleukin-17 (IL-17) family, namely IL-17A and IL-17F. IL-17 in turn induces several target cells to synthesize and release cytokines, chemokines, and metalloproteinases, thereby amplifying the inflammatory cascade. Th17 cells reside predominantly in the lamina propria of the mucosa. Their main physiological function is to maintain the integrity of the mucosal barrier against the aggression of infectious agents. However, in an appropriate inflammatory microenvironment, Th17 cells can transform into immunopathogenic cells, giving rise to inflammatory and autoimmune diseases. This review aims to analyze the complex mechanisms through which the interaction between Th17 and pathogens can be on the one hand favorable to the host by protecting it from infectious agents, and on the other hand harmful, potentially generating autoimmune reactions and tissue damage

Corneal incision width after lens implantation: Comparing delivery systems: Corneal incision width and injector systems

Abstract Purpose To compare corneal incision width after phacoemulsification and intraocular lens implantation (IOL) using different delivery systems. Methods One hundred and seventeen patients with cataract and no other anterior segment pathological features or previous eye surgery underwent cataract surgery with IOL implantation through a 2.2 mm incision. Three foldable IOL were implanted with their recommended delivery systems: Acrysof© SN60WF with Monarch© III/cartridge D (Group A, 38 patients); Tecnis© ZCB00 with Unfolder Platinum/cartridge easy load (Group B, 38 patients); Acrysof© SN60WF with Ultrasert™ preloaded system (Group C, 42 patients). Incision width was measured before and after phacoemulsification and IOL implantation. Results Before and after phacoemulsification incision width was, respectively, 2.21 ± 0.02 mm and 2.34 ± 0.08 mm in group A; 2.20 ± 0.02 mm and 2.31 ± 0.06 mm in group B; 2.20 ± 0.02 mm and 2.30 ± 0.07 mm in group C. Incision width was not significantly enlarged after phacoemulsification. Before and after IOL implantation incision width was, respectively, 2.34 ± 0.07 mm and 2.47 ± 0.07 mm in group A; 2.32 ± 0.06 mm and 2.45 ± 0.08 mm in group B; 2.30 ± 0.07 mm and 2.39 ± 0.07 mm in group C. Incision widths in group C were significantly different to groups A and B. No relationship was found between incision sizes and phacoemulsification time, ultrasound energy and IOL powers. Conclusion In cataract surgery Ultrasert™ enlarges the corneal incision less than other delivery systems

Prevalence and attitudes to HIV testing among adults visiting public outpatient clinics in Rome: results of the MeDi (Measuring health Disparities in HIV prevention) survey. Part 1

Background. It is estimated that, in Italy, 12 000-18 000 (11-13% of 130 000) HIV-infected subjects are not aware of their serostatus. People in this condition may visit the healthcare system multiple times without being diagnosed. If tested on one of these occasions, they could modify their high-risk behaviours and benefit from treatment, factors that reduce HIV transmission. In Italy, no data on HIV testing in the general population are available so far and little is known on the relationship between socioeconomic determinants (at individual and neighbourhood levels) and testing uptake.Methods. A large anonymous survey was performed in 2012-2014 on more than 10 000 individuals 18-59 years old who underwent 21 public ambulatories in Rome to determine the proportion of subjects tested for HIV and factors related to testing uptake. Subjects’ socio-demographic characteristics, sexual orientation, number of sexual partners, HIV risk behaviour, HIV testing uptake were collected by a self-administered questionnaire. Level of area deprivation was measured at the postal code level by the index of social disadvantage (ISD). Multilevel Poisson regressions were carried out to take heterogeneity between clusters (post code and clinics) into account.Results. Among people participating in the study, 58.1% of subjects self-reported to have been tested at least once for HIV. Those who had one high risk behaviour for HIVinfection were 11% more likely to test than those not reporting any, and subjects who had had a STI (sexually-transmitted-infection) in the past were 12% more likely to test than those who had not had a STI. However only 44% (54% among subjects aged 18-35 years) of those with self-reported risks of contracting HIV had been tested at least once in life. This percentage increases, as expected, with the level of education, but, even so, about 40% of university educated subjects self-reporting risks of contracting HIV had never undergone an HIV test.Conclusions. This study highlights that, while the percentage of subjects tested is even higher than observed in other western nations, only 44% of subjects, self-reporting risks of contracting HIV, had tested at least once in life and about 40% of university educated subjects self reporting risks of contracting HIV had never tested.

Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma

Purpose Primary central nervous system lymphoma (PCNSL) is a rare, aggressive form of extranodal non-Hodgkin lymphoma. To predict the overall survival (OS) in advance is of utmost importance as it has the potential to aid clinical decision-making. Though radiomics-based machine learning (ML) has demonstrated the promising performance in PCNSL, it demands large amounts of manual feature extraction efforts from magnetic resonance images beforehand. deep learning (DL) overcomes this limitation.Methods In this paper, we tailored the 3D ResNet to predict the OS of patients with PCNSL. To overcome the limitation of data sparsity, we introduced data augmentation and transfer learning, and we evaluated the results using r stratified k-fold cross-validation. To explain the results of our model, gradient-weighted class activation mapping was applied.Results We obtained the best performance (the standard error) on post-contrast T1-weighted (T1Gd)-area under curve = 0.81(0.03), accuracy = 0.87(0.07), precision = 0.88(0.07), recall = 0.88(0.07) and F1-score = 0.87(0.07), while compared with ML-based models on clinical data and radiomics data, respectively, further confirming the stability of our model. Also, we observed that PCNSL is a whole-brain disease and in the cases where the OS is less than 1 year, it is more difficult to distinguish the tumor boundary from the normal part of the brain, which is consistent with the clinical outcome.Conclusions All these findings indicate that T1Gd can improve prognosis predictions of patients with PCNSL. To the best of our knowledge, this is the first time to use DL to explain model patterns in OS classification of patients with PCNSL. Future work would involve collecting more data of patients with PCNSL, or additional retrospective studies on different patient populations with rare diseases, to further promote the clinical role of our model