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The paper examines how individual motivations, the role of the supervisor and gender influence the early career path of doctorate holders. We investigate PhD graduates' occupational outcomes beyond academia in the framework of current literature on the oversupply of PhD holders and labor market constraints. Our analysis relies on two unique datasets. The first, at the national level, includes microdata from the Italian National Institute of Statistics regarding about 41,000 graduates who account for over 70% of the population of 6 cohorts surveyed for the period 2004-2014. The other dataset is from a single university, and resulted from an original survey of 760 PhD holders who earned their doctorates from the University of Turin in 2007-2017. We find that PhD holders' motivation towards science is associated with their subsequent employment in academia or in other research and non-research jobs. Sponsoring support in early career and the supervisor's propensity for basic research also play a role in the future academic career path. Gender differences in type of occupation, however, continue to persist even taking motivations and the supervisor's role into account.

Background: The Angelman Syndrome Registry (RISA) was developed as a retrospective study with the following objectives: to evaluate the clinical history of individuals with Angelman Syndrome (AS) in Italy and compare it with the existing literature; to investigate the feasibility of gathering data by directly involving participants in the data collection process; and to explore the relationship between different symptoms and genotypes. Methods: Established in 2018, RISA enrolled a total of 82 participants, with 62 (75.6%) providing complete data. Demographic, clinical, and genetic information was collected using electronic case report forms. Descriptive statistics characterized the sample, while associations between genotype and clinical characteristics were examined. Results: Descriptive analysis revealed a median participant age of 8.0 years, with males comprising 48.8% of the sample. Deletion (58.1%) was the most common genotype. The majority (82.2%) experienced epilepsy, with seizures typically onset before 3 years of age. Most patients (86.2%) required multiple anti-epileptic drugs for control, with generalized tonic–clonic seizures and atypical absence seizures being most prevalent. The deletion group exhibited more severe developmental delays and a trend towards higher seizure severity. Sleep problems affected 69.4% of participants, characterized by difficulties in sleep onset and maintenance. Conclusions: This study offers valuable insights into the clinical history and genetic characteristics of AS in Italy, consistent with the prior literature. Additionally, it underscores the efficacy of patient registries in capturing comprehensive data on rare diseases such as AS, highlighting their potential to advance research and enhance patient care. [ABSTRACT FROM AUTHOR]

The paper examines how individual motivations, the role of the supervisor and gender influence the early career path of doctorate holders. We investigate PhD graduates' occupational outcomes beyond academia in the framework of current literature on the oversupply of PhD holders and labor market constraints. Our analysis relies on two unique datasets. The first, at the national level, includes microdata from the Italian National Institute of Statistics regarding about 41,000 graduates who account for over 70% of the population of 6 cohorts surveyed for the period 2004–2014. The other dataset is from a single university, and resulted from an original survey of 760 PhD holders who earned their doctorates from the University of Turin in 2007–2017. We find that PhD holders' motivation towards science is associated with their subsequent employment in academia or in other research and non-research jobs. Sponsoring support in early career and the supervisor's propensity for basic research also play a role in the future academic career path. Gender differences in type of occupation, however, continue to persist even taking motivations and the supervisor's role into account. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this study was to investigate how long hospitalized patients stayed positive to the nasopharyngeal swab, and what demographic and clinical factors influence the time-to-negative swab. Methods: We enrolled in a multicenter, observational, retrospective study involving 17 COVID-19 units in eight cities of the Campania, southern Italy all patients hospitalized from March 2020 to May 2021 diagnosed with Severe Acute Respiratory Distress Syndrome-Coronavirus-2 (SARS-CoV-2) infection for whom time-to-negative swab was available. Results: 963 patients were enrolled. We defined three groups considering time-to-negative swab: the first including patients with time-to-negative swab before the 26th day, the second including patients with time-to-negative swab from day 26 to day 39, and the third including patients with time-to-negative swab > 39 days. 721 (74.9%) patients belonged to the first group, 194 (20.1%) to the second, and 52 (5.4%) belonged to the third group. Belonging to group 2 and 3 seemed to be influenced by age (p value < 0.001), Charlson comorbidity index (p = 0.009), arterial hypertension (p = 0.02), cardiovascular disease (p = 0.017), or chronic kidney disease (CKD) (p = 0.001). The multivariable analysis confers a leading role to CKD, with an odds ratio of 2.3 as factor influencing belonging to the groups showing a longer time-to-negative swab. Patients with CKD and diabetes were more frequently in the third group. Discussion: Our analysis showed that CKD is a factor related to longer time-to-negative swab, probably because of immunosuppression related to this condition. [ABSTRACT FROM AUTHOR]

Aim: Measuring the phenomenon of gambling and Internet addiction, with analysis of attitudes and psychophysical consequences among nurses working in different care settings. Methods: An observational, cross sectional, multicenter study was conducted from April to September 2020. Participants' socio-demographic information, the "Internet Addiction Test" (IAT) scale, and the "South Oaks Gambling Screen" (SOGS) were collected in order to assess the overuse of and whether an individual has a problematic relationship with gambling, respectively. Results: 502 nurses were enrolled in the study. Significant correlations were found (p <.001) between the IAT score and gender, number of years of work experience, job role, educational qualification; and between the SOGS and gender, number of years of work experience, job role and regions of Italy. Conclusions: The study highlighted an emerging social problem, and the results may be just the tip of the iceberg. Given the lack of knowledge of these phenomena and a high percentage of people who suffer from them but are afraid to admit it and get help, this study could also be useful in expanding knowledge and allow more professionals to get help and learn about possible treatments and cures for the resolution of these addictions. [ABSTRACT FROM AUTHOR]

Introduction: Acute kidney disease and chronic kidney disease are considered conditions that can increase the mortality and severity of COVID-19. However, few studies have investigated the impact of creatinine levels on COVID-19 progression in patients without a history of chronic kidney disease. The aim of the study was to assess the impact of creatinine levels at hospital admission on COVID-19 progression and mortality. Methods: We performed a multicenter, observational, retrospective study involving seventeen COVID-19 Units in the Campania region in southern Italy. All adult (≥18 years) patients, hospitalized with a diagnosis of SARS-CoV-2 infection confirmed by a positive reverse transcriptase-polymerase chain reaction on a naso-oropharyngeal swab, from 28 February 2020 to 31 May 2021, were enrolled in the CoviCamp cohort. Results: Evaluating inclusion/exclusion criteria, 1357 patients were included. Considering in-hospital mortality and creatinine value at admission, the best cut-off point to discriminate a death during hospitalization was 1.115 mg/dL. The logistic regression demonstrated that factors independently associated with mortality were age (OR 1.082, CI: 1.054–1.110), Charlson Comorbidity Index (CCI) (OR 1.341, CI: 1.178–1.526), and an abnormal creatinine value at admission, defined as equal to or above 1.12 mg/dL (OR 2.233, CI: 1.373–3.634). Discussion: In conclusion, our study is in line with previous studies confirming that the creatinine serum level can predict mortality in COVID-19 patients and defining that the best cut-off of the creatinine serum level at admission to predict mortality was 1.12 mg/dL. [ABSTRACT FROM AUTHOR]

Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo generalization and are typically overfitted. Such trained AI systems are not practical for clinical settings and therefore do not give accurate results when executed on unseen data sets. We hypothesize that ensemble deep learning (EDL) is superior to deep transfer learning (TL) in both non-augmented and augmented frameworks. Methodology: The system consists of a cascade of quality control, ResNet–UNet-based hybrid deep learning for lung segmentation, and seven models using TL-based classification followed by five types of EDL's. To prove our hypothesis, five different kinds of data combinations (DC) were designed using a combination of two multicenter cohorts—Croatia (80 COVID) and Italy (72 COVID and 30 controls)—leading to 12,000 CT slices. As part of generalization, the system was tested on unseen data and statistically tested for reliability/stability. Results: Using the K5 (80:20) cross-validation protocol on the balanced and augmented dataset, the five DC datasets improved TL mean accuracy by 3.32%, 6.56%, 12.96%, 47.1%, and 2.78%, respectively. The five EDL systems showed improvements in accuracy of 2.12%, 5.78%, 6.72%, 32.05%, and 2.40%, thus validating our hypothesis. All statistical tests proved positive for reliability and stability. Conclusion: EDL showed superior performance to TL systems for both (a) unbalanced and unaugmented and (b) balanced and augmented datasets for both (i) seen and (ii) unseen paradigms, validating both our hypotheses. [ABSTRACT FROM AUTHOR]

Background: Recent studies have shown the importance of the microbiota in women's health. Indeed, the persistence of Human Papilloma Virus (HPV)-related lesions in patients with dysbiosis can be the antechamber to cervical cancer. The aim of this study was to evaluate whether long term administration of oral Lactobacillus crispatus can restore eubiosis in women with HPV infections and hence achieve viral clearance. Methods: In total, 160 women affected by HPV infections were enrolled at the Department of Gynecological Obstetrics of "San Paolo" Hospital, Italy between February 2021 and February 2022. The women were randomly assigned to two groups, one in treatment with oral Lactobacillus crispatus M247 (group 1, n = 80) versus the control group, that hence only in follow-up (Group 2, n = 80). Results: After a median follow-up of 12 months (range 10–30 months), the likelihood of resolving HPV-related cytological anomalies was higher in patients in treatment with the long term oral probiotic (group 1) versus the group that perfom only follow-up (group 2) (60.5% vs. 41.3%, p = 0.05). Total HPV clearance was shown in 9.3% of patients undergoing only follow-up compared to 15.3% of patients in the group taking long term oral Lactobacillus crispatus M247 (p = 0.34). However, the percentage of HPV-negative patients, assessed with the HPV-DNA test, documented at the end of the study period was not significantly different from the control group. Conclusions: Despite the limitations of our analysis, we found a higher percentage of clearance of PAP-smear abnormalities in patients who took long term oral Lactobacillus crispatus M247 than in the control group. Larger studies are warranted, but we believe that future research should be aimed in this direction. Trial registration This study is retrospectively registered. [ABSTRACT FROM AUTHOR]

Variations in COVID-19 lesions such as glass ground opacities (GGO), consolidations, and crazy paving can compromise the ability of solo-deep learning (SDL) or hybrid-deep learning (HDL) artificial intelligence (AI) models in predicting automated COVID-19 lung segmentation in Computed Tomography (CT) from unseen data leading to poor clinical manifestations. As the first study of its kind, "COVLIAS 1.0-Unseen" proves two hypotheses, (i) contrast adjustment is vital for AI, and (ii) HDL is superior to SDL. In a multicenter study, 10,000 CT slices were collected from 72 Italian (ITA) patients with low-GGO, and 80 Croatian (CRO) patients with high-GGO. Hounsfield Units (HU) were automatically adjusted to train the AI models and predict from test data, leading to four combinations—two Unseen sets: (i) train-CRO:test-ITA, (ii) train-ITA:test-CRO, and two Seen sets: (iii) train-CRO:test-CRO, (iv) train-ITA:test-ITA. COVILAS used three SDL models: PSPNet, SegNet, UNet and six HDL models: VGG-PSPNet, VGG-SegNet, VGG-UNet, ResNet-PSPNet, ResNet-SegNet, and ResNet-UNet. Two trained, blinded senior radiologists conducted ground truth annotations. Five types of performance metrics were used to validate COVLIAS 1.0-Unseen which was further benchmarked against MedSeg, an open-source web-based system. After HU adjustment for DS and JI, HDL (Unseen AI) > SDL (Unseen AI) by 4% and 5%, respectively. For CC, HDL (Unseen AI) > SDL (Unseen AI) by 6%. The COVLIAS-MedSeg difference was < 5%, meeting regulatory guidelines.Unseen AI was successfully demonstrated using automated HU adjustment. HDL was found to be superior to SDL. [ABSTRACT FROM AUTHOR]

Background: The previous COVID-19 lung diagnosis system lacks both scientific validation and the role of explainable artificial intelligence (AI) for understanding lesion localization. This study presents a cloud-based explainable AI, the "COVLIAS 2.0-cXAI" system using four kinds of class activation maps (CAM) models. Methodology: Our cohort consisted of ~6000 CT slices from two sources (Croatia, 80 COVID-19 patients and Italy, 15 control patients). COVLIAS 2.0-cXAI design consisted of three stages: (i) automated lung segmentation using hybrid deep learning ResNet-UNet model by automatic adjustment of Hounsfield units, hyperparameter optimization, and parallel and distributed training, (ii) classification using three kinds of DenseNet (DN) models (DN-121, DN-169, DN-201), and (iii) validation using four kinds of CAM visualization techniques: gradient-weighted class activation mapping (Grad-CAM), Grad-CAM++, score-weighted CAM (Score-CAM), and FasterScore-CAM. The COVLIAS 2.0-cXAI was validated by three trained senior radiologists for its stability and reliability. The Friedman test was also performed on the scores of the three radiologists. Results: The ResNet-UNet segmentation model resulted in dice similarity of 0.96, Jaccard index of 0.93, a correlation coefficient of 0.99, with a figure-of-merit of 95.99%, while the classifier accuracies for the three DN nets (DN-121, DN-169, and DN-201) were 98%, 98%, and 99% with a loss of ~0.003, ~0.0025, and ~0.002 using 50 epochs, respectively. The mean AUC for all three DN models was 0.99 (p < 0.0001). The COVLIAS 2.0-cXAI showed 80% scans for mean alignment index (MAI) between heatmaps and gold standard, a score of four out of five, establishing the system for clinical settings. Conclusions: The COVLIAS 2.0-cXAI successfully showed a cloud-based explainable AI system for lesion localization in lung CT scans. [ABSTRACT FROM AUTHOR]

Gender disparity in academic careers is a global phenomenon, although the causes and consequences vary in different national contexts. The article focuses on the «leaky pipeline» effect (women are less likely to receive tenure and more likely to leave academic career). The literature accounts for gender inequalities in early stages of career with two different types of explanations: 1) mechanisms of individual «self-selection» (discouragement, less competitiveness, family orientation, etc.); 2) employers' gender bias and discriminatory behavior. Less attention is given to those social processes that look at gender as a «social structure», that is to the structural and cultural factors that operate at various individual, cultural and social levels (micro, meso and macro) and which are produced and (re)produced at various stages of academic career and over time (recruitment, retention and advancement). Based on the ISTAT survey on PhD holders (2018 and 2014 editions, N=32 thousand), the paper analyzes the gender gap in Italy in the probability of accessing the world of academic research (universities or public research institutes) after obtaining PhD, with a post-doc or assistant professor, in both «hard» sciences (STEM) and in human and social sciences (SSH). The analysis yields three main findings: 1) while the gender gap is almost absent in post-doc positions, it re-appears quite evidently in assistant professor positions; 2) the gender gap in assistant professor positions is stronger in some, but not all, STEM disciplinary groups, while it is weaker in all SSH groups; 3) the gender gap does not depend on gender differences in scientific productivity. [ABSTRACT FROM AUTHOR]

Objectives: To estimate the number of patients who receive a cumulative effective dose (CED) of ≥ 100 mSv from computed tomography (CT) in a single day or episode of care.Methods: We examined 28,870 patients who underwent 49,834 CT examinations in a tertiary care centre in Italy in 2.5 years. Radiation exposures were retrieved from the hospital's automatic exposure monitoring system. Two cohorts were identified as those who received a CED of ≥ 100 mSv in a single day and within a month starting from the first examination. Organ doses were estimated for the first cohort.Results: Among the 1765 (6.1%) patients who received CED ≥ 100 mSv in the observation period, 427 received a CED of ≥ 100 mSv within a month (and 70 patients in a single day). This group represented 1.5% of all patients who underwent CT exams and 24% of those who received CED ≥ 100 mSv in the observation period. The clinical indication for referral included cancer in 132 patients (31%) and non-oncological indications in 295 patients (69%). In 68/70 patients with CED > 100 mSv in a single day, at least one organ/tissue received a dose of ≥ 100 mGy.Conclusions: The finding of a sizeable percentage of patients undergoing CT exams and receiving CED ≥ 100 mSv in a single episode of care points toward the need of imaging appropriateness criteria, to revise the routine protocols, to replace older machines, and to provide to the radiologist the patient's prior radiation history to facilitate an appropriate decision-making process.Key Points: • Patients can receive effective doses greater than 100 mSv in a single CT or in multiple CT examinations performed in a single episode of care in 1.5% of patients in a 2.5-year period. • In this study, the clinical indication for CT referral was non-oncological in 69% of patients. • The patient's prior radiation history should be provided to the referring physicians and the radiological medical practitioner to facilitate an appropriate decision-making process. [ABSTRACT FROM AUTHOR]

Background: Brescia Province, northern Italy, was one of the worst epicenters of the COVID-19 pandemic. The division of infectious diseases of ASST (Azienda Socio Sanitaria Territoriale) Spedali Civili Hospital of Brescia had to face a great number of inpatients with severe COVID-19 infection and to ensure the continuum of care for almost 4000 outpatients with HIV infection actively followed by us. In a recent manuscript we described the impact of the pandemic on continuum of care in our HIV cohort expressed as number of missed visits, number of new HIV diagnosis, drop in ART (antiretroviral therapy) dispensation and number of hospitalized HIV patients due to SARS-CoV-2 infection. In this short communication, we completed the previous article with data of HIV plasmatic viremia of the same cohort before and during pandemic. Methods: We considered all HIV-patients in stable ART for at least 6 months and with at least 1 available HIV viremia in the time window March 01–November 30, 2019, and another group of HIV patients with the same two requisites but in different time windows of the COVID-19 period (March 01–May 31, 2020, and June 01–November 30, 2020). For patients with positive viremia (PV) during COVID-19 period, we reported also the values of viral load (VL) just before and after PV. Results: the percentage of patients with PV during COVID-19 period was lower than the previous year (2.8% vs 7%). Only 1% of our outpatients surely suffered from pandemic in term of loss of previous viral suppression. Conclusions: Our efforts to limit the impact of pandemic on our HIV outpatients were effective to ensure HIV continuum of care. [ABSTRACT FROM AUTHOR]

Computer Tomography (CT) is currently being adapted for visualization of COVID-19 lung damage. Manual classification and characterization of COVID-19 may be biased depending on the expert's opinion. Artificial Intelligence has recently penetrated COVID-19, especially deep learning paradigms. There are nine kinds of classification systems in this study, namely one deep learning-based CNN, five kinds of transfer learning (TL) systems namely VGG16, DenseNet121, DenseNet169, DenseNet201 and MobileNet, three kinds of machine-learning (ML) systems, namely artificial neural network (ANN), decision tree (DT), and random forest (RF) that have been designed for classification of COVID-19 segmented CT lung against Controls. Three kinds of characterization systems were developed namely (a) Block imaging for COVID-19 severity index (CSI); (b) Bispectrum analysis; and (c) Block Entropy. A cohort of Italian patients with 30 controls (990 slices) and 30 COVID-19 patients (705 slices) was used to test the performance of three types of classifiers. Using K10 protocol (90% training and 10% testing), the best accuracy and AUC was for DCNN and RF pairs were 99.41 ± 5.12%, 0.991 (p < 0.0001), and 99.41 ± 0.62%, 0.988 (p < 0.0001), respectively, followed by other ML and TL classifiers. We show that diagnostics odds ratio (DOR) was higher for DL compared to ML, and both, Bispecturm and Block Entropy shows higher values for COVID-19 patients. CSI shows an association with Ground Glass Opacities (0.9146, p < 0.0001). Our hypothesis holds true that deep learning shows superior performance compared to machine learning models. Block imaging is a powerful novel approach for pinpointing COVID-19 severity and is clinically validated. [ABSTRACT FROM AUTHOR]

The article discusses the correlation between liver fibrosis and lower levels of prostate-specific antigen (PSA) in men with Human Immunodeficiency Virus (HIV). Data from a study involving men with HIV and liver fibrosis were analyzed to explore if PSA is similarly reduced in this population. The results showed that PSA levels are lower in men with HIV and more severe liver fibrosis.

Researchers' aim was to investigate if patients/physicians characteristics could differently affect males/females health care expenditure. In 2009/2010, a health-related-quality-of-life (HRQL) measure was distributed to 887 general practitioners' (GP) patients in Siena's province-Italy. Severity of diseases was calculated through Cumulative Illness Rating Scale Severity Index (CIRS-SI). Information about GPs' gender and age and patients' gender, age, and socio-economic variables were recorded. 2012 data about pharmaceutical, outpatient and hospital expenditure were obtained. Multivariate regression was carried out. In males, hospital expenditure increased with higher CIRS-SI and female GP whilst in females it was not influenced by any of the variables. Outpatient and pharmaceutical expenditure increased with aging, higher CIRS-SI, and lower HRQL and education, both in males and females. Gender differences in health expenditure determinants emerged for hospital expenditure. [ABSTRACT FROM AUTHOR]

In this retrospective case-control study, we analyse data of 48 HIV-positive pregnant patients, versus a control group of 99 HIV-negative pregnant women, followed as outpatients by our department from 2009 to 2014. The aims of the study were to investigate the prevalence, persistence and progression of cervical squamous intraepithelial lesions (SIL) in each group and to correlate colpo-cytological lesions to the socio-demographic and clinical-laboratory findings in the HIV + pregnant women. In our study we observed that immunosuppression, HPV infection and vaginal coinfections were predictive of cervical lesions. Pap smear and colposcopy should be part of routine care for HIV-infected pregnant women because these lesions behave aggressively in these patients. Success of prevention depends on massive access of patients to screening. HAART reduces viral load and maintains CD4 count and can affect progression of SIL. Multidisciplinary services on the same site appear to be one promising strategy to improve compliance in patients. Impact Statement What is already known on this subject: Our study provided novel information on a highly vulnerable population of young HIV + pregnant women. What the results of this study add: We observed that immunosuppression, HPV infection and vaginal coinfections were predictive of cervical lesions remarkable with colposcopy. We could consider these important risk factors to evaluate to establish an appropriate strategy of management for these patients. What the implications are of these findings for clinical practice and/or further research: Association of the risk between SIL presence and HIV and HPV infection also deserves additional investigation. We believe that Pap smears and colposcopies should be part of the routine care for HIV-infected women because these lesions behave particularly aggressively in these patients. [ABSTRACT FROM AUTHOR]

Abstract: Objective: The aim of this study was to design, deliver and evaluate an e-learning teaching programme for post-graduate radiodiagnostics training that would involve various post-graduate schools throughout Italy. Materials and methods: All of the Directors of Italian post-graduate schools of radiodiagnostics were sent an e-mail on 27 September 2010 informing them of our willingness to set up an e-learning project for the academic year 2010–2011 in the form of single-subject teaching seminars. The proposed subjects were the semeiotics of the various organs and apparatuses in the context of “Urgent/Emergency Pathology”. After having received registrations, a calendar of lessons was planned to be held between 10 November 2010 and 12 October 2011. The validity of the project was tested by means of a multiple-choice questionnaire covering the technical and didactic quality of the entire project, to be completed by the students. Results: Fifty-one percent of the universities in Italy participated in the project: Trieste, Udine, Verona, Milan-Bicocca, Novara, Varese, Genoa, Sassari, Rome Campus, the Catholic University of Rome, Chieti, Foggia, Catania, Modena, Florence, Palermo, Bologna, Pavia, Parma and Ferrara. The lessons were attended by a total of 10,261 post-graduate medical students, for an average of 513.1 students per lesson. Seventy percent of the students judged the didactic content “excellent”, 25% “good”, and 5% “satisfactory”; none said it was unsatisfactory. In terms of visual quality (particularly the details of the radiological images proposed in the form of slides and/or video clips), 73% judged it “excellent”, 20% “good”, 6% “satisfactory”, and 1% “poor”. The audio quality was judged “excellent” by 71%, “good” by 22%, “satisfactory” by 6% and “poor” by 1%. In relation to judgement of audio and video quality, it has to be underlined that this was greatly affected by the hardware/software configuration and the band speed and technology of the Internet connection. Conclusions: Technological evolution is overcoming all barriers, and technology is also having a positive impact on the approach to teaching. Our multicentre teaching experience merits the following considerations: the quality of the teaching product was certified by the students’ judgements of its didactic content and the quality of reception; the economic cost of the teaching had a minimal impact on the post-graduate schools (€ 18 per lesson). In terms of breaking down national barriers, it is to be hoped that the coordination and integration of diagnostic imaging e-learning projects, with the participation of post-graduate schools in different European countries, can be developed not only in a spirit of “cultural sharing” and the exchange of teaching experiences. [Copyright &y& Elsevier]

A well-documented paradox in family literature is that most married women and men consider the division of household labor to be fair, although its distribution is quite uneven. In this article I report results from a survey on 404 dual-earner couples with young children living in Torino, Italy. A small proportion of wives and husbands (13.6% and 5.7%, respectively) reported both unfairness and dissatisfaction with the division of housework. The absolute majority (55%) of both wives and husbands perceived fairness and satisfaction, even if most of the chores (about two-thirds) fell on wives’ shoulders. To explain these judgments, elements of Thompson's distributive justice theoretical framework were operationalized and tested. A critical reassessment of these elements is provided, based on empirical findings. [ABSTRACT FROM PUBLISHER]

Merit, desert, satisfaction of basic needs, equality of results are the criteria mainly used to distribute resources and opportunities for workers - as wages, pensions, career, qualifications, training, job tenure and other benefits. Other criteria used for this purpose - mostly in defense of entitlements - are seniority, educational credentials and professional skills. These criteria are justified by more or less consistent set of arguments, called legitimation formulas or ideologies according to the context of analysis. In public rhetoric evoked in distributional conflicts it is difficult not to find some reference to these types of authorization of resource distribution. The relationship between' seniority and social stratification was so far little explored by sociological research. The criterion of seniority, from the standpoint of a neo-weberian theory of class, is a strategy of exclusion that benefits members of the cohorts of older workers, placed in the system of guarantees. Purpose of the survey AGING, whose first results are presented in this issue of "Quaderni di sociologia", is to examine the positive and normative believes on the main distributive criteria of a national sample of workers (n = 2502). Workers were interviewed by CATI in spring 2011. This paper describes the construction phases of the survey AGING, from the definition of the main terms of the problem until the construction of a structured questionnaire. The text of the questionnaire is attached. [ABSTRACT FROM AUTHOR]

This article examines a topic rarely investigated in Italy: perceived fairness about own earned income. Data were obtained from a phone survey of the Italian active population (N = 2502). Only a quarter of interviewees reported to be justly paid. I explored personal characteristics associated with this judgment and found that absolute income level was an important predictor of perceived fairness. However the income effect was strongly reduced by the outcomes of interpersonal comparisons (relative income). Interviewees who find themselves justly or unjustly paid did not differ substantially about the reasons for their fairness judgment. Prevalent reasons were an ordered set of merit, desert, and need in both groups. Finally I considered the relationship between perceived fairness and the individual's attitude to income inequality in society (measured as the ratio of actual to legitimate perceived income inequality). I did not find strong correlation between these attitudes, although people who considered themselves unjustly paid believed that income inequalities should be reduced a bit more as compared to justly paid individuals. [ABSTRACT FROM AUTHOR]

This article presents the results of a cross-sectional longitudinal analysis of time-budget data collected in Turin in 1979 and 2003, covering the period of the local society's transition from the industrial to the post-industrial phase. The focus is on the changing relationship between gender, social status and time allocation. Findings confirm results of other historical comparisons: a gender convergence in patterns of time use, particularly for highly-educated men and women. Instead there is no evidence of a change in the leisure/status gradient, which is one the main conclusions from Gershuny's work. This study's main results call for an explanation of the gender convergence that, from a symmetrical and opposite perspective, could be defined as persistence of gender differences/inequalities. Discussion involves the limits of the main explanatory approaches: rational choice and social conditioning. [ABSTRACT FROM AUTHOR]

The research draws on a unique chance of comparison across time: the case of Turin (Italy) 1979-2003. In both years time use surveys have been carried out, each including children aged 7-13. The conditions of the urban young population can be seen as a mirror of the social change in a city moving from a still mainly industrial economy to a post-industrial one. As a consequence, today children live in different family context with more educated parents, more female employment and more divorce rate. Some results about trends in children's patterns of time use are quite striking: TV watching for example one of the most debated forms of leisure despite popular fears, did not increased at all; social life instead, measured as time spent with friends (a more reliable measure than «time spent in social activities» which are not always unambiguously defined) dramatically decreased by 50%. This is likely to be linked with the growing institutionalisation of children in 2003. Today young people spend more time than in the past in institutionalised context such as school and extracurricular activities (sport training, music lessons etc.): time spent at school rose by 31% and time spent doing sports (including training courses above all) increased by 77% on average. [ABSTRACT FROM AUTHOR]

Background and Purpose:The gene-encoding plasminogen activator inhibitor type 1 (PAI-1) has a common 4G/5G ‘functional’ polymorphism, and people homozygous for the 4G allele have higher PAI-1 plasma concentrations. The 4G/4G genotype is associated with increased risk of myocardial infarction but paradoxically protects against stroke. We hypothesized that this paradox may be explained via an effect of the PAI-1 polymorphism on plasma lipids. Methods: We studied 71 consecutive Italian patients referred to our Institute for first stroke or vascular cognitive impairment. PAI-1 gene 4G/5G polymorphism, total plasma cholesterol, plasma triglycerides, sex, age, smoking, oral contraceptive use, statin therapy, hypertension, diabetes, and history of myocardial infarction were examined. Results:The 4G/4G genotype was significantly associated with high cholesterol (p = 0.003) but not with triglycerides (p = 0.39). Adjusted odds ratios were: 5.8 for 4G/4G vs. 4G/5G (95% CI, 3.1–23.0), and 15.9 for 4G/4G vs. 5G/5G (95% CI, 2.4–105.0). Conclusions:This finding may explain the involvement of the PAI-1 polymorphism in the clustering of atherothrombotic risk factors, and why people with the 4G/4G genotype are at increased risk for myocardial infarction. Stroke is not so clearly related to hypercholesterolemia and other effects of the 4G/4G genotype (perhaps increased PAI-1 expression) may protect against stroke. Copyright © 2006 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Geostructural rock mass surveys and the collection of data related to discontinues provide the basis for the characterization of rock masses and the study of their stability conditions. This paper describes a multiscale approach that was carried out using both non-contact techniques and traditional support techniques to survey certain geometrical features of discontinuities, such as their orientation, spacing, and useful persistence. This information is useful in identifying the possible kinematics and stability conditions. These techniques are extremely useful in the case study of the Elva valley road (Northern Italy), in which instability phenomena are spread across 9 km in an overhanging rocky mass. A multiscale approach was applied, obtaining digital surface models (DSMs) at three different scales: large-scale DSM of the entire road, a medium-scale DSM to assess portions of the slope, and a small-scale DSM to assess single discontinuities. The georeferenced point cloud and consequent DSMs of the slopes were obtained using an unmanned aerial vehicle (UAV) and terrestrial photogrammetric technique, allowing topographic and rapid traditional geostructural surveys. This technique allowed us to take measurements along the entire road, obtaining geometrical data for the discontinuities that are statistically representative of the rock mass and useful in defining the possible kinematic mechanisms and volumes of potentially detachable blocks. The main purpose of this study was to analyse how the geostructural features of a rock mass can affect the stability slope conditions at different scales in order to identify road sectors susceptible to different potential failure mechanisms using only kinematic analysis. [ABSTRACT FROM AUTHOR]

The clinical presentation of COVID-19 is extremely heterogeneous, ranging from asymptomatic to severely ill patients. Thus, host genetic factors may be involved in determining disease presentation and progression. Given that carriers of single cystic fibrosis (CF)-causing variants of the CFTR gene—CF-carriers—are more susceptible to respiratory tract infections, our aim was to determine their likelihood of undergoing severe COVID-19. We implemented a cohort study of 874 individuals diagnosed with COVID-19, during the first pandemic wave in Italy. Whole exome sequencing was performed and validated CF-causing variants were identified. Forty subjects (16 females and 24 males) were found to be CF-carriers. Among mechanically ventilated patients, CF-carriers were more represented (8.7%) and they were significantly (p < 0.05) younger (mean age 51 years) compared to noncarriers (mean age 61.42 years). Furthermore, in the whole cohort, the age of male CF-carriers was lower, compared to noncarriers (p < 0.05). CF-carriers had a relative risk of presenting an abnormal inflammatory response (CRP ≥ 20 mg/dL) of 1.69 (p < 0.05) and their hazard ratio of death at day 14 was 3.10 (p < 0.05) in a multivariate regression model, adjusted for age, sex and comorbidities. In conclusion, CF-carriers are more susceptible to the severe form of COVID-19, showing also higher risk of 14-day death. [ABSTRACT FROM AUTHOR]

Introduction: During the COVID-19 pandemic, hospitals faced increasing pressure, where people living with HIV risked to either acquire SARS-CoV-2 and to interrupt the HIV continuum of care. Methods: This is a retrospective, observational study. We compared the numbers of medical visits performed, antiretroviral drugs dispensed and the number of new HIV diagnosis and of hospitalizations in a cohort of people living with HIV (PLWH) followed by the Spedali Civili of Brescia between the bimester of the COVID-19 pandemic peak and the bimester of October–November 2019. Data were retrieved from administrative files and from paper and electronic clinical charts. Categorical variables were described using frequencies and percentages, while continuous variables were described using mean, median, and interquartile range (IQR) values. Means for continuous variables were compared using Student's t-tests and the Mann–Whitney test. Proportions for categorical variables were compared using the χ2 test. Results: As of December 31st, 2019, a total of 3875 PLWH were followed in our clinic. Mean age was 51.4 ± 13 years old, where 28% were females and 18.8% non-Italian. Overall, 98.9% were on ART (n = 3834), 93% were viro-suppressed. A total of 1217 and 1162 patients had their visit scheduled at our out-patient HIV clinic during the two bimesters of 2019 and 2020, respectively. Comparing the two periods, we observed a raise of missed visits from 5 to 8% (p < 0.01), a reduction in the number of new HIV diagnosis from 6.4 in 2019 to 2.5 per month in 2020 (p = 0.01), a drop in ART dispensation and an increase of hospitalized HIV patients due to COVID-19. ART regimens including protease inhibitors (PIs) had a smaller average drop than ART not including PIs (16.6 vs 21.6%, p < 0.05). Whether this may be due to the perception of a possible efficacy of PIs on COVID19 is not known. Conclusions: Our experience highlights the importance of a resilient healthcare system and the need to implement new strategies in order to guarantee the continuum of HIV care even in the context of emergency. [ABSTRACT FROM AUTHOR]

Comparison of deep learning algorithm, radiomics and subjective assessment of chest CT for predicting outcome (death or recovery) and intensive care unit (ICU) admission in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The multicenter, ethical committee-approved, retrospective study included non-contrast-enhanced chest CT of 221 SARS-CoV-2 positive patients from Italy (n = 196 patients; mean age 64 ± 16 years) and Denmark (n = 25; mean age 69 ± 13 years). A thoracic radiologist graded presence, type and extent of pulmonary opacities and severity of motion artifacts in each lung lobe on all chest CTs. Thin-section CT images were processed with CT Pneumonia Analysis Prototype (Siemens Healthineers) which yielded segmentation masks from a deep learning (DL) algorithm to derive features of lung abnormalities such as opacity scores, mean HU, as well as volume and percentage of all-attenuation and high-attenuation (opacities >−200 HU) opacities. Separately, whole lung radiomics were obtained for all CT exams. Analysis of variance and multiple logistic regression were performed for data analysis. Moderate to severe respiratory motion artifacts affected nearly one-quarter of chest CTs in patients. Subjective severity assessment, DL-based features and radiomics predicted patient outcome (AUC 0.76 vs AUC 0.88 vs AUC 0.83) and need for ICU admission (AUC 0.77 vs AUC 0.0.80 vs 0.82). Excluding chest CT with motion artifacts, the performance of DL-based and radiomics features improve for predicting ICU admission. DL-based and radiomics features of pulmonary opacities from chest CT were superior to subjective assessment for differentiating patients with favorable and adverse outcomes. • Deep learning (DL) can predict ICU admission and outcomes in COVID-19 infection. • DL outperforms subjective assessment for predicting disease outcome (death). • DL can distinguish and quantify different pulmonary opacities on a per lobe basis. [ABSTRACT FROM AUTHOR]

Objectives Risk adjustment is a widely used tool for health expenditure prediction and control. Early approaches for estimating health expenditure were based on patient demographic variables alone, whereas more recent models incorporate patient information, such as chronic medical conditions, clinical diagnoses, and self-reported health status. Many studies have investigated the health expenditure predictive capacity of single demographic, morbidity, or health-related quality of life measures, but the best models prove to be those that include them all. The aim of this study was to develop an index that combines measures of perceived health and disease severity and to compare its efficacy in predicting health expenditure with that of the measures taken individually. Study design This is a linked cross-sectional study. Methods In 2009 and 2010, the health-related quality of life questionnaire SF-36 (8 scales, two indices: Physical Component Summary [PCS] and Mental Component Summary [MCS]) was distributed to 886 patients of general practitioners in the Province of Siena, Italy. Severity of diseases was calculated for each patient using the Charlson Index (CH-I) and Cumulative Illness Rating Scale Severity Index (CIRS-SI). Siena Local Health Unit 2012 data on health expenditure were obtained for each patient. Multivariate linear regression was applied to test the performance of severity (CH-I, CIRS-SI) and perceived health (PCS and MCS) measures in predicting health expenditure. The indexes that predicted health expenditure best were then combined in a new tool, and its expenditure predictive capacity was tested. Results The best health expenditure predictors proved to be PCS and SI (R2 = 0.15 and R2 = 0.17, respectively). When combined in a new index (PCS-SI), better predictive capacity of health expenditure was obtained than with the two single measures separately (R2 = 0.19).Conclusions A multidimensional indicator proved to be a better predictor of healthcare expenditure than single health measures. [ABSTRACT FROM AUTHOR]

• Holistic information in COVID-19 patients with imaging and non-imaging data can help predict patient outcome in terms of the need for ICU admission. • Validation of model over multiple sites is important to establish its generalizablity. • Both volume and radiomic features of pulmonary opacities are key to quantifying the extent of lung involvement. While image analysis of chest computed tomography (CT) for COVID-19 diagnosis has been intensively studied, little work has been performed for image-based patient outcome prediction. Management of high-risk patients with early intervention is a key to lower the fatality rate of COVID-19 pneumonia, as a majority of patients recover naturally. Therefore, an accurate prediction of disease progression with baseline imaging at the time of the initial presentation can help in patient management. In lieu of only size and volume information of pulmonary abnormalities and features through deep learning based image segmentation, here we combine radiomics of lung opacities and non-imaging features from demographic data, vital signs, and laboratory findings to predict need for intensive care unit (ICU) admission. To our knowledge, this is the first study that uses holistic information of a patient including both imaging and non-imaging data for outcome prediction. The proposed methods were thoroughly evaluated on datasets separately collected from three hospitals, one in the United States, one in Iran, and another in Italy, with a total 295 patients with reverse transcription polymerase chain reaction (RT-PCR) assay positive COVID-19 pneumonia. Our experimental results demonstrate that adding non-imaging features can significantly improve the performance of prediction to achieve AUC up to 0.884 and sensitivity as high as 96.1%, which can be valuable to provide clinical decision support in managing COVID-19 patients. Our methods may also be applied to other lung diseases including but not limited to community acquired pneumonia. The source code of our work is available at https://github.com/DIAL-RPI/COVID19-ICUPrediction. [ABSTRACT FROM AUTHOR]

Objectives: The goal of this study was to assess chest computed tomography (CT) diagnostic accuracy in clinical practice using RT-PCR as standard of reference.Methods: From March 4th to April 9th 2020, during the peak of the Italian COVID-19 epidemic, we enrolled a series of 773 patients that performed both non-contrast chest CT and RT-PCR with a time interval no longer than a week due to suspected SARS-CoV-2 infection. The diagnostic performance of CT was evaluated according to sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy, considering RT-PCR as the reference standard. An analysis on the patients with discrepant CT scan and RT-PCR result and on the patient with both negative tests was performed.Results: RT-PCR testing showed an overall positive rate of 59.8 %. CT sensitivity, specificity, PPV, NPV, and accuracy for SARS-CoV-2 infection were 90.7 % [95 % IC, 87.7%-93.2%], 78.8 % [95 % IC, 73.8-83.2%], 86.4 % [95 % IC, 76.1 %-88.9 %], 85.1 % [95 % IC, 81.0 %-88.4] and 85.9 % [95 % IC 83.2-88.3%], respectively. Twenty-five/66 (37.6 %) patients with positive CT and negative RT-PCR results and 12/245 (4.9 %) patients with both negative tests were nevertheless judged as positive cases by the clinicians based on clinical and epidemiological criteria and consequently treated.Conclusions: In our experience, in a context of high pre-test probability, CT scan shows good sensitivity and a consistently higher specificity for the diagnosis of COVID-19 pneumonia than what reported by previous studies, especially when clinical and epidemiological features are taken into account. [ABSTRACT FROM AUTHOR]

Objectives: to evaluate over a 48-month follow-up period the: 1) long-term effectiveness and safety; 2) drug retention rate (DRR); 3) impact of comorbidities and bDMARDs line on MDA and DAPSA remission/low disease activity (LDA) of secukinumab in a multicenter Italian cohort of PsA patients., Methods: Consecutive PsA patients receiving secukinumab were followed prospectively in Italian centers between 2016 and 2023. Disease characteristics, previous/ongoing treatments, comorbidities and follow-up duration were recorded. Treatment response was evaluated at 6 and 12 months after initiation, and every year up to 48 months (T48). DRR was assessed according to clinical and demographic features, comorbidities and bDMARDs line. Adverse events (AE) were recorded., Results: Six hundred eighty-five patients [42.5% male] were enrolled; 32.9% naïve received secukinumab; 74.2% had ≥ 1 comorbidity. Overall, secukinumab yielded improved outcomes at T48: naïve maintained lower disease activity vs. non-naïve [DAPSA 4.0 (1.4-8.1) vs. 6.0 (2.2-10.4);p = 0.04]; 76.9% naïve and 66.2% non-naïve achieved MDA; MDA no comorbidities vs. 1-3 comorbidities 78.8% vs. 73.3% (p < 0.05), and MDA no comorbidities vs. > 3 comorbidities 78.8% vs. 48.7% (p < 0.001). DAPSA-REM and DAPSA-LDA rates were higher in naïve patients, albeit similar between those without comorbidities vs. 1-3 comorbidities, and slightly lower in those with > 3 comorbidities. Treatment was discontinued in 233 patients due to loss of effectiveness, and in 41 due to AE. The overall DRR at T48 was 66%, with differences according to bDMARDs line (p < 0.001), use of combined csDMARDs (p = 0.016), BMI (p = 0.037) and mono/oligoarthritis vs. polyarthritis (p = 0.012)., Conclusions: Secukinumab proved safe and effective, and patients achieved sustained remission with a notable drug retention rate at 4 years., (© 2024. The Author(s).)

Objectives: This study aims to evaluate in a real-life Italian multicenter cohort of axial spondyloarthritis (axSpA) (1) the 4-year effectiveness and safety of secukinumab, (2) the drug retention rate (DRR), and (3) the impact of the line of bDMARDs treatment, subtype of axSpA, and sex on achieving low disease activity (LDA) and very low disease activity (VLDA)., Methods: Consecutive axSpA patients receiving secukinumab between 2016 and 2023 were prospectively evaluated. Data on disease characteristics, previous/ongoing treatments, comorbidities, and follow-up duration were collected. Treatment response was evaluated at 6 and 12 months after initiation and yearly up to 48 months (T48). DRR and effectiveness outcomes were evaluated according to bDMARDs treatment, axSpA subtype, and sex. Infections and adverse events (AEs) were recorded., Results: We enrolled 272 patients (48.2% male; median age, 51; 39.7% HLA-B27+; 40.4% nr-axSpA), of whom 30.9% were naïve to secukinumab. Overall, secukinumab yielded improvement in effectiveness outcomes; the naïve patients maintained lower disease activity vs. the non-naïve ones. At T48, the LDA and VLDA rates were higher in naïve patients and in male individuals. Treatment was discontinued in 104 patients due to primary/secondary loss of effectiveness and in 34 patients due to AEs. The DRR at T48 was 67.4% in the whole population, regardless of treatment line, axSpA subtype, and sex., Conclusions: Secukinumab was safe and effective in all axSpA patients irrespective of treatment line, disease subtype, and sex. The patients achieved sustained 4-year remission and DRR., Competing Interests: RR has received honoraria and speaker fees from Novartis, Abbvie, Pfizer, MSD, and Janssen. CS has received consulting/speaker fees from AbbVie, Amgen, Alfa-Sigma, Biogen, Eli-Lilly, EUSA Pharma - Recordati, Galapagos, Janssen, Novartis, Octapharma, Pfizer, Recordati Rare Disease, SOBI and research support from AbbVie, Amgen, Janssen, Novartis, Pfizer. AM has received honoraria and speaker fees from Abbvie, Pfizer, MSD, UCB, Novartis, Janssen, and Eli-Lilly. LeS has received speaker fees from Jansen, Novartis, Pfizer, UCB, MSD, and Sanofi. AD has received honoraria and speaker fees from Novartis, AbbVie, Pfizer, MSD, Janssen.AC has received speaker fees from Novartis, Abbvie, Eli-Lilly and Janssen. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Ramonda, Lorenzin, Chimenti, D’Angelo, Marchesoni, Selmi, Lubrano, Santo, Luchetti Gentiloni, Atzeni, Cauli, Manara, Rossini, Foti, Cozzi, Scagnellato, Ferraioli, Carriero, Luciano, Ruzzon, Fatica, Fracassi, Doria, Foti and Carletto.)

Many coronavirus disease 2019 (Covid-19) survivors show symptoms months after acute illness. The aim of this work is to describe the clinical evolution of Covid-19, one year after discharge. We performed a prospective cohort study on 238 patients previously hospitalized for Covid-19 pneumonia in 2020 who already underwent clinical follow-up 4 months post-Covid-19. 200 consented to participate to a 12-months clinical assessment, including: pulmonary function tests with diffusing lung capacity for carbon monoxide (DLCO); post-traumatic stress (PTS) symptoms evaluation by the Impact of Event Scale (IES); motor function evaluation (by Short Physical Performance Battery and 2 min walking test); chest Computed Tomography (CT). After 366 [363-369] days, 79 patients (39.5%) reported at least one symptom. A DLCO < 80% was observed in 96 patients (49.0%). Severe DLCO impairment (< 60%) was reported in 20 patients (10.2%), related to extent of CT scan abnormalities. Some degree of motor impairment was observed in 25.8% of subjects. 37/200 patients (18.5%) showed moderate-to-severe PTS symptoms. In the time elapsed from 4 to 12 months after hospital discharge, motor function improves, while respiratory function does not, being accompanied by evidence of lung structural damage. Symptoms remain highly prevalent one year after acute illness., (© 2021. The Author(s).)

Purpose: During the first peak of the COVID-19 pandemic, the activity of Emergency Departments worldwide changed dramatically, focusing on diagnosis and care of the Sars-Cov-2 associated disease. These major changes also involved the activity of the Emergency Radiology Department (ERD). This study aimed to analyse the impact of the COVID-19 pandemic on imaging studies, both in terms of the amount, frequency and subspecialty of different imaging modalities requested to the ERD of the Maggiore della Carità Hospital in Novara (Italy)., Methods: To this end, our observational study took into account the imaging studies requested by the emergency department during three-time spans. These were defined as phase 0 (pre-pandemic), phase 1 (pandemic peak with complete lockdown) and phase 2 (post-pandemic peak with partial lifting of restrictive measures), as derived from Italian urgent decrees by the President of the Council of Ministers (DPCM) which established the duration and entity of the lockdown measures throughout the pandemic. The dataset was processed and then compared with Pearson's chi-squared test., Results: During the pandemic peak, our data showed a significant drop in the total number of studies requested and a significant rise in computed tomography (CT) studies. In particular, a statistically significant increase in chest CT studies was found, probably due to the high sensitivity of this imaging method in identifying pulmonary involvement during respiratory tract infection of possible viral etiology (SARS-Cov-2). Moreover, we observed a statistically significant decrease of X-ray (XR) and ultrasound (US) studies during phase 1 compared to phase 0 and phase 2 probably due to a reduction in the numbers of ER visits for minor traumas given the mobility restrictions and people hesitancy in visiting the ER due to fear of contagion., Conclusions: We can conclude that the activity of the ERD was heavily impacted by the SARS-Cov-2 pandemic. Further studies will be needed to estimate the impact of the pandemic on public health in terms of excess mortality related to delayed diagnosis and care of non-COVID diseases., (© 2021. The Author(s).)

Background Lower muscle mass is a known predictor of unfavorable outcomes, but its prognostic impact on patients with COVID-19 is unknown. Purpose To investigate the contribution of CT-derived muscle status in predicting clinical outcomes in patients with COVID-19. Materials and Methods Clinical or laboratory data and outcomes (intensive care unit [ICU] admission and death) were retrospectively retrieved for patients with reverse transcriptase polymerase chain reaction-confirmed SARS-CoV-2 infection, who underwent chest CT on admission in four hospitals in Northern Italy from February 21 to April 30, 2020. The extent and type of pulmonary involvement, mediastinal lymphadenopathy, and pleural effusion were assessed. Cross-sectional areas and attenuation by paravertebral muscles were measured on axial CT images at the T5 and T12 vertebral level. Multivariable linear and binary logistic regression, including calculation of odds ratios (ORs) with 95% CIs, were used to build four models to predict ICU admission and death, which were tested and compared by using receiver operating characteristic curve analysis. Results A total of 552 patients (364 men and 188 women; median age, 65 years [interquartile range, 54-75 years]) were included. In a CT-based model, lower-than-median T5 paravertebral muscle areas showed the highest ORs for ICU admission (OR, 4.8; 95% CI: 2.7, 8.5; P < .001) and death (OR, 2.3; 95% CI: 1.0, 2.9; P = .03). When clinical variables were included in the model, lower-than-median T5 paravertebral muscle areas still showed the highest ORs for both ICU admission (OR, 4.3; 95%: CI: 2.5, 7.7; P < .001) and death (OR, 2.3; 95% CI: 1.3, 3.7; P = .001). At receiver operating characteristic analysis, the CT-based model and the model including clinical variables showed the same area under the receiver operating characteristic curve (AUC) for ICU admission prediction (AUC, 0.83; P = .38) and were not different in terms of predicting death (AUC, 0.86 vs AUC, 0.87, respectively; P = .28). Conclusion In hospitalized patients with COVID-19, lower muscle mass on CT images was independently associated with intensive care unit admission and in-hospital mortality. © RSNA, 2021 Online supplemental material is available for this article.

Introduction: The clinical course of Coronavirus Disease 2019 (COVID-19) is highly heterogenous, ranging from asymptomatic to fatal forms. The identification of clinical and laboratory predictors of poor prognosis may assist clinicians in monitoring strategies and therapeutic decisions., Materials and Methods: In this study, we retrospectively assessed the prognostic value of a simple tool, the complete blood count, on a cohort of 664 patients ( F 260; 39%, median age 70 (56-81) years) hospitalized for COVID-19 in Northern Italy. We collected demographic data along with complete blood cell count; moreover, the outcome of the hospital in-stay was recorded., Results: At data cut-off, 221/664 patients (33.3%) had died and 453/664 (66.7%) had been discharged. Red cell distribution width (RDW) ( χ 2 10.4; p < 0.001), neutrophil-to-lymphocyte (NL) ratio ( χ 2 7.6; p = 0.006), and platelet count ( χ 2 5.39; p = 0.02), along with age ( χ < 0.001), accurately predicted in-hospital mortality. Hemoglobin levels were not associated with mortality. We also identified the best cut-off for mortality prediction: a NL ratio > 4.68 was characterized by an odds ratio for in-hospital mortality (OR) = 3.40 (2.40-4.82), while the OR for a RDW > 13.7% was 4.09 (2.87-5.83); a platelet count > 166,000/ 2 87.6; p < 0.001) and gender ( χ 2 17.3; p < 0.001), accurately predicted in-hospital mortality. Hemoglobin levels were not associated with mortality. We also identified the best cut-off for mortality prediction: a NL ratio > 4.68 was characterized by an odds ratio for in-hospital mortality (OR) = 3.40 (2.40-4.82), while the OR for a RDW > 13.7% was 4.09 (2.87-5.83); a platelet count > 166,000/ μ L was, conversely, protective (OR: 0.45 (0.32-0.63))., Conclusion: Our findings arise the opportunity of stratifying COVID-19 severity according to simple lab parameters, which may drive clinical decisions about monitoring and treatment., Competing Interests: The authors have no conflict of interest to declare., (Copyright © 2021 Mattia Bellan et al.)

Purpose: Optimization of CT scan practices can help achieve and maintain optimal radiation protection. The aim was to assess centering, scan length, and positioning of patients undergoing chest CT for suspected or known COVID-19 pneumonia and to investigate their effect on associated radiation doses., Methods: With respective approvals from institutional review boards, we compiled CT imaging and radiation dose data from four hospitals belonging to four countries (Brazil, Iran, Italy, and USA) on 400 adult patients who underwent chest CT for suspected or known COVID-19 pneumonia between April 2020 and August 2020. We recorded patient demographics and volume CT dose index (CTDI vol ) and dose length product (DLP). From thin-section CT images of each patient, we estimated the scan length and recorded the first and last vertebral bodies at the scan start and end locations. Patient mis-centering and arm position were recorded. Data were analyzed with analysis of variance (ANOVA)., Results: The extent and frequency of patient mis-centering did not differ across the four CT facilities (>0.09). The frequency of patients scanned with arms by their side (11-40% relative to those with arms up) had greater mis-centering and higher CTDI vol and DLP at 2/4 facilities (p = 0.027-0.05). Despite lack of variations in effective diameters (p = 0.14), there were significantly variations in scan lengths, CTDI vol and DLP across the four facilities (p < 0.001)., Conclusions: Mis-centering, over-scanning, and arms by the side are frequent issues with use of chest CT in COVID-19 pneumonia and are associated with higher radiation doses., (Published by Elsevier Ltd.)

Purpose: To perform a survey among all members of the Italian Society of Medical and Interventional Radiology (SIRM) to assess how whole-body MRI (WB-MRI) is performed in oncologic patients in Italy., Methods: On March 2019, we administered an online poll to all SIRM members about their use of WB-MRI in 2018 asking 15 questions regarding oncologic indications, imaging protocol, use of contrast media, experience in WB-MRI, duration of scan time and reporting time., Results: Forty-eight members participated to the survey. WB-MRIs/total MRIs ratio was 1%. Lymphoma was the most common indication (17/48, 35%), followed by myeloma and prostate cancer, with these three tumors representing the most common indication in 39/48 of cases (81%). WB-MRI acquisition time and reporting time were 46-60 min in 22/48 centers (46%) and 20-30 min in 19/48 (40%), respectively. WB-MRIs were mostly performed in 1.5T scanners (43/48, 90%), with surface coils (22/48, 46%) being preferred to Q-body (15/48, 31%) and integrated coils (11/48, 23%). Contrast media were injected in 22/48 of the centers (46%), mainly used for breast cancer (13/22, 59%). DWI was the most used sequence (45/48, 94%), mostly with b800 (27/48, 56%), b0 (24/48, 50%) and b1000 (20/48, 42%) values. In about half of cases, radiologists started evaluating WB-MRI non-contrast morphologic sequences, then checking DWI and post-contrast images., Conclusion: WB-MRI was mainly performed at 1.5T unit, with lymphoma, myeloma and prostate cancer having been the most common indications. The extreme variability in the choice of imaging protocols and use of contrast agents demonstrates the need of a standardization of WB-MRI application in clinical practice.

Objective: To evaluate the clinical effectiveness of golimumab in biologic inadequate responder (IR) patients with Rheumatoid arthritis (RA), Spondyloarthritis (SpA), and Psoriatic arthritis (PsA)., Methods: We analyzed 1424 patients on golimumab from the GISEA registry. Drug survival was estimated by Kaplan-Meier analysis in biologic-naïve, 1-biologic IR, ≥2-biologics IR patients. Hazard ratios (HRs) of discontinuing golimumab at 2 years were assessed by multivariate Cox regression. Patients achieving CDAI based low disease activity (LDA) or BASDAI<4 were calculated at 6 and 12 months., Results: In RA (n.370), the 2-years survival on golimumab was 61.4% in 1-biologic IR, 51.9% in≥2-biologics IR, and 73.1% in biologic-naive patients (P=0.002 vs≥2-biologics IR). In SpA (n.502), the survival was similar among 1-biologic IR (80%), ≥2-biologics IR (76.5%), and biologic-naive (74.6%) patients (P>0.05). In PsA (n.552) the survival was 72% in 1-biologic IR, 72.5% in≥2-biologics IR, and 71.8% in naïve-biologic (P>0.05). Predictors of golimumab discontinuation were monotherapy (HR 1.65) for RA, female gender for SpA (HR 2.48) and PsA (HR 1.57). In RA, patients on CDAI-LDA were lower in 1-biologic IR (40%) or≥2 biologics IR (40%) than in biologic-naïve (60%) group at 6 months (P=0.02), but no difference was observed at 12 months. In PsA and SpA, the percentage of patients on CDAI-LDA or BASDAI<4 at 6 months was almost identical across the subgroups., Conclusions: Golimumab had similar effectiveness in biologic-failure and biologic-naïve SpA and PsA, but seems to be less effective in multi-failure RA patients, especially as monotherapy. The best outcomes were seen in male patients., (Copyright © 2020 Société française de rhumatologie. Published by Elsevier Masson SAS. All rights reserved.)

Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods. During the study period 504/1697 patients died; thus, overall CFR was 29.7%. We looked for predictors of mortality in a subgroup of 486 patients (239 males, 59%; median age 71 years) for whom sufficient clinical data were available at data cut-off. Among the demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model in a further subgroup of patients, age, the diagnosis of cancer, and the baseline PaO 2 /FiO 2 ratio were identified as independent predictors of mortality. In conclusion, the CFR of hospitalized patients in Northern Italy during the ascending phase of the COVID-19 pandemic approached 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk.

Background: Higher prothrombotic status and alterations in platelet function and thrombopoiesis are associated with diabetes mellitus (DM). We assessed the impact of diabetes and glucose control on the immature platelet fraction (IPF) and their relationship with prevalence and extent of coronary artery disease (CAD)., Methods: Consecutive patients undergoing coronary angiography were included. Significant CAD was defined as at least one vessel stenosis greater than 50%. IPF levels were measured at admission by routine blood cells count (A Sysmex XE-2100)., Results: We included 1781 patients, of whom 660 (37.1%) suffered from diabetes. Diabetes was associated with advanced age and a higher cardiovascular risk profile. No difference in the mean values of IPF were observed between patients with or without DM (3.6 ± 2.5 vs 3.5 ± 2.5, P = 0.39) and neither in the rate of patients with IPF above the median (2.9%) (51.6% vs 50.6%, P = 0.73). In patients with DM, the IPF levels did not relate with glucose control parameters (glycaemia: r = -0.024, P = 0.54, glycosylated haemoglobin: r = 0.11, P = 0.72). The prevalence of CAD was significantly lower in patients with DM and IPF greater than the median (80.5% vs 86.5%, P = 0.04, adjusted odds ratio [OR] [95% confidence interval {CI}] = 0.57[0.36-0.91], P = 0.02), while not left main/three-vessel CAD (36.9% vs 38.2%, P = 0.75, adjusted OR [95%CI] = 0.91[0.64-1.28], P = 0.90)., Conclusion: In the present study, neither DM nor glucose control are independent predictors of IPF above the median. In patients with DM, higher IPF levels were associated with a lower prevalence of CAD and with a similar extent of severe CAD and angiographic findings. Therefore, until new data become available, elevated IPF should not be systematically applied on a large scale as cardiovascular risk marker in patients with diabetes., (© 2020 John Wiley & Sons Ltd.)

: Acetylsalicylic acid (ASA) represents one of the most widely used pharmacological treatments for the prevention of atherothrombotic events. However, its use in low-risk patients is still debated, due to the complex balance between benefits and bleeding complications, therefore requiring new tools for the assessment of cardiovascular risk. Immature platelet count (IPC) has been suggested as a marker of platelet reactivity and turnover, thus potentially reflecting the progression of the chronic atherothrombotic vascular damage, which could be prevented by ASA. However, no study has evaluated, so far, the impact of long-term therapy with ASA on the IPC among patients undergoing coronary angiography, which was the aim of the present study. We included patients from a single centre. Significant coronary artery disease (CAD) was defined as at least one-vessel stenosis more than 50%. Immature platelet fraction (IPF) levels were measured by routine blood cells count (a Sysmex XE-2100) in patients naive or chronically treated with ASA at admission. Among 1475 patients, 464 (31.5%) were ASA-naive. Patients on long-term antiplatelet therapy were more often men (P < 0.001), with a higher prevalence of cardiovascular risk factors and CAD. The mean levels of IPC did not differ between ASA-naive and treated patents (8 ± 5.3 vs. 7.8 ± 4.9, P = 0.48). Similar results were obtained when considering IPC distribution across tertiles, as ASA therapy did not result as an independent predictor of IPC levels above the third tertile (≥8.6 × 10/ml) [adjusted odds ratio (95% confidence interval) = 0.96 (0.63-1.48), P = 0.87]. Results were confirmed in major higher risk subgroups of patients. The present study shows that among high-risk patients undergoing coronary angiography, the long-term therapy with ASA does not affect the levels of IPC.

Purpose: The aim of our study is to assess the effectiveness of popliteal artery aneurysm (PAA) endovascular treatment., Basic Procedures: We retrospectively evaluated 48 high-surgical-risk patients that presented at our three departments with evidence of popliteal artery aneurysms, both symptomatic and asymptomatic, and were therefore treated by deployment of stent graft. Immediate technical success was 100%. No periprocedural complications occurred., Main Findings: During a mean follow-up of 24.5 months (range 6-72), 12/48 occlusions of stent graft occurred, five of which occurred in the first 30 days after the procedure while other seven occurred during long-term follow-up. Primary stent patency rate was 70.8% and secondary stent patency rate was 89.6% at 1 year. No limb amputation was witnessed., Conclusions: According to our experience, endovascular approach appeared as an effective treatment for popliteal artery aneurysms, as it appeared affected by a low rate of peri- and post-procedural complications. It could be proposed as treatment of choice in patients with high surgical risk.

Background: We report the initial results from a phase I clinical trial for ALS. We transplanted GMP-grade, fetal human neural stem cells from natural in utero death (hNSCs) into the anterior horns of the spinal cord to test for the safety of both cells and neurosurgical procedures in these patients. The trial was approved by the Istituto Superiore di Sanità and the competent Ethics Committees and was monitored by an external Safety Board., Methods: Six non-ambulatory patients were treated. Three of them received 3 unilateral hNSCs microinjections into the lumbar cord tract, while the remaining ones received bilateral (n = 3 + 3) microinjections. None manifested severe adverse events related to the treatment, even though nearly 5 times more cells were injected in the patients receiving bilateral implants and a much milder immune-suppression regimen was used as compared to previous trials., Results: No increase of disease progression due to the treatment was observed for up to18 months after surgery. Rather, two patients showed a transitory improvement of the subscore ambulation on the ALS-FRS-R scale (from 1 to 2). A third patient showed improvement of the MRC score for tibialis anterior, which persisted for as long as 7 months. The latter and two additional patients refused PEG and invasive ventilation and died 8 months after surgery due to the progression of respiratory failure. The autopsies confirmed that this was related to the evolution of the disease., Conclusions: We describe a safe cell therapy approach that will allow for the treatment of larger pools of patients for later-phase ALS clinical trials, while warranting good reproducibility. These can now be carried out under more standardized conditions, based on a more homogenous repertoire of clinical grade hNSCs. The use of brain tissue from natural miscarriages eliminates the ethical concerns that may arise from the use of fetal material., Trial Registration: EudraCT:2009-014484-39 .

Background: We sought to evaluate the best therapeutic management of postbiopsy arteriovenous fistulas (AVFs) in transplanted kidneys., Methods: Between January 2005 and December 2011, we observed 17 cases of postbiopsy AVF in transplanted kidneys (9 asymptomatic; 8 symptomatic). Asymptomatic cases were managed conservatively, while patients with symptomatic AVF underwent endovascular treatment. We used a technique that consisted in a superselective transcatheter embolization of the afferent branch. We evaluated the technical success (postoperative closure of AVF), the immediate clinical efficacy (cessation of symptoms), and clinical efficacy at follow-up (measurement of serum creatinine at 7 days and 6 and 12 months compared with preoperative levels using t-tests)., Results: Asymptomatic AVFs resolved spontaneously, while the endovascular treatment in symptomatic AVFs showed a complete technical and clinical success with prompt remission of the presented symptoms. We observed a statistically significant reduction in serum creatinine at 7 days and 6 and 12 months postoperatively (mean creatinine--preoperative: 3.23 ± 1.4 mg/dL; 7 days: 2.25 ± 0.8 mg/dL; 6 months: 1.65 ± 0.28 mg/dL; 12 months: 1.4 ± 0.26 mg/dL; in all cases P < 0.05)., Conclusions: In our experience, asymptomatic AVFs could be managed conservatively with close follow-up while the endovascular treatment for symptomatic AVFs is both safe and effective in the short- and long-term., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Cardiac magnetic resonance (CMR) is considered an useful method in the evaluation of many cardiac disorders. Based on our experience and available literature, we wrote a document as a guiding tool in the clinical use of CMR. Synthetically we describe different cardiac disorders and express for each one a classification, I to IV, depending on the significance of diagnostic information expected.

Purpose: The aim of our work was to design, implement and evaluate an e-learning programme in favour of trainee radiologists enrolled at the many specialty schools located throughout Italy, in the spirit of "sharing culture"., Materials and Methods: Once a common educational programme and time slot had been identified and planned, the programme was delivered via Internet-based video conferencing once a week for 2-h lectures. Each lecture was followed by interaction between the teaching staff and trainees at the individual sites. The universities involved were Trieste, Udine, Verona, Milano Bicocca, Novara, Varese, Genova, Sassari, Rome "Campus", Rome "Cattolica", Chieti, Foggia, Catania, Modena and Firenze. The University of Rome "Cattolica" participated in the project with two locations: Rome "Policlinico Gemelli" and Rome "Cattolica Campus of Campobasso"., Results: Eighteen lectures were conducted, for a total of 36 h. "Transient" connection interruption occurred 13 times for a total of 33 min over 2,160 min of lessons. Video quality and, in particular, details of radiological images shown in slides or moving pictures, were rated as very good by 71% of trainees, good by 24% and satisfactory by 4.5%; no one gave a rating of unsatisfactory., Conclusions: Based on our experience, whereas e-learning in radiology has become established and compulsory, there is the need for legislation that on the one hand protects online teaching activity and on the other allows study and continuing medical education (CME) credits to be recognised.