ABSTRACT
BACKGROUND: Retinal retinoblastoma growth phenotypes can be endophytic, exophytic, diffuse infiltrating or anterior diffuse. Herein, we describe a novel tumor growth pattern in two patients. MATERIAL AND METHODS: Imaging with spectral-domain optical coherence tomography (SD-OCT). RESULTS: Both cases were diagnosed with unilateral group D retinoblastoma treated with first-line or bridge intra-arterial chemotherapy (IAC). Case 1 had a new intravitreal/epiretinal relapse 3 months after brachytherapy and intravitreal chemotherapy. SD-OCT showed a disruption of the inner limiting membrane (INL) underneath a parapapillary epiretinal seed. The intravitreal/epiretinal disease completely regressed with intravitreal melphalan. Three months later, an isolated intraretinal growth was documented on SD-OCT at the site of previously INL disruption, which was treated by thermotherapy. He remained disease-free at 1-year follow-up with 0.6 visual acuity. Case 2 was seen 2 months after treatment interruption due to the COVID-19 pandemic. Fundus examination showed a massive intravitreal/epipapillary invasion completely obscuring the papilla. Salvage treatment of this seeing eye consisted of combined intra-arterial and intravitreal melphalan and topotecan injections. An infraclinical papillary regrowth 4 months later was treated with additional IAC. Six months later, enucleation was performed due to an infraclinical papillary relapse with suspicion of intralaminar invasion. Histopathology showed retrolaminar optic nerve invasion with tumor-free surgical section. The child received four cycles of adjuvant chemotherapy and remained disease-free at 1-year follow-up. CONCLUSION: Epiretinal/epipapillary vitreous seeding can be the source of a secondary intraretinal/optic nerve head relapse. SD-OCT is instrumental to follow such cases. Enucleation remains the safest option if secondary optic nerve invasion is suspected.
ABSTRACT
INTRODUCTION: Thrombotic complications, such as pulmonary embolism, are common in COVID-19 patients. Point-of-care ultrasound is a highly recommended tool for orientation in critically ill patients with suspected or confirmed complications. METHODS: An observational study was conducted on 32 consecutive patients with confirmed pulmonary embolism and COVID-19 infection treated in the Intensive Care Unit of the University Hospital Medical Center "Bezanijska kosa", Belgrade, Serbia, between April 2021 and March 2022. Predictors of the need for oxygen support were determined, while point-of-care echocardiographic parameters and various anamnestic, laboratory, and clinically significant parameters were correlated with the Pulmonary Embolism Severity Index (PESI) score. RESULTS: More than two-thirds of patients in our study had PE symptoms present at hospital admission (68.8%). The majority of patients had segmental pulmonary embolism (48.4%), with high to very high PESI score values in 31.3% of patients. Pneumonia was present in 68.8% of the study population. The PESI score was negatively correlated with diastolic blood pressure and SaO2 at the time of PE diagnosis, LV ejection fraction, and PVAT. A positive correlation was found between the PESI score, maximum CRP, and D-dimer at the time of PTE diagnosis. A larger right ventricular diameter was associated with a greater need for oxygen support. CONCLUSION: Point-of-care echocardiography is a valuable tool for the risk assessment of COVID-19 patients with pulmonary embolism. Right ventricular size stood out as a significant marker of disease severity.
ABSTRACT
Cyberbullying is the wilful and repeated infliction of harm on an individual using the Internet and digital technologies. Similar to face-to-face bullying, cyberbullying can be captured formally using the Routine Activities Model (RAM) whereby the potential victim and bully are brought into proximity of one another via the interaction on online social networking (OSN) platforms. Although the impact of the COVID-19 (SARS-CoV-2) restrictions on the online presence of minors has yet to be fully grasped, studies have reported that 44% of pre-adolescents have encountered more cyberbullying incidents during the COVID-19 lockdown. Transparency reports shared by OSN companies indicate an increased take-downs of cyberbullying-related comments, posts or content by artificially intelligen moderation tools. However, in order to efficiently and effectively detect or identify whether a social media post or comment qualifies as cyberbullying, there are a number factors based on the RAM, which must be taken into account, which includes the identification of cyberbullying roles and forms. This demands the acquisition of large amounts of fine-grained annotated data which is costly and ethically challenging to produce. In addition where fine-grained datasets do exist they may be unavailable in the target language. Manual translation is costly and expensive, however, state-of-the-art neural machine translation offers a workaround. This study presents a first of its kind experiment in leveraging machine translation to automatically translate a unique pre-adolescent cyberbullying gold standard dataset in Italian with fine-grained annotations into English for training and testing a native binary classifier for pre-adolescent cyberbullying. In addition to contributing high-quality English reference translation of the source gold standard, our experiments indicate that the performance of our target binary classifier when trained on machine-translated English output is on par with the source (Italian) classifier.
ABSTRACT
Higher education institutions have a strong potential to encourage society to make significant changes, preparing individuals for active and responsible participation in society. As one of the tasks of the higher education system is to take an active role in overcoming the challenges that affect certain parts of society, especially vulnerable groups, it should be able to provide equal opportunities for all students. Digital competences in education are crucial today, so the question arises as to whether sufficient investment is being made into research in this field. The aim of this paper is to offer a systematic literature review that focuses on two types of research currently conducted in the field of digital inclusion in education: (i) use and adaptation of digital educational tools for students with disabilities and (ii) digital competences of teachers. For the purposes of the research, the method of content analysis of recent scientific papers was used. The search analysis was conducted from March to April 2022, while the search of papers in Scopus and Web of Science databases was limited to the period from 2019 to 2022. Terms used in the search were as following: digital competencies, disabilities, higher education. This review includes an analysis of existing concepts of digital inclusion of persons with disabilities in the higher education process as well as proposed methods for assessing digital competencies of teachers in higher education and pursues three objectives: (i) to describe the concepts of digital inclusion, (ii) to provide an overview of trends and (iii) to identify challenges in assessing the digital competences of teachers in higher education related to digital inclusion. Through consideration of these goals, this paper presents an innovative approach to research in this field and emphasizes the need to conduct similar research to promote the development of higher education.
ABSTRACT
Background The COVID-19 pandemic has likely affected the most vulnerable groups of patients and those requiring time-critical access to healthcare services, such as patients with cancer. The aim of this study was to use time trend data to assess the impact of COVID-19 on timely diagnosis and treatment of head and neck cancer (HNC) in the Italian Piedmont region. Methods This study was based on two different data sources. First, regional hospital discharge register data were used to identify incident HNC in patients ≥18 years old during the period from January 1, 2015, to December 31, 2020. Interrupted time-series analysis was used to model the long-time trends in monthly incident HNC before COVID-19 while accounting for holiday-related seasonal fluctuations in the HNC admissions. Second, in a population of incident HNC patients eligible for recruitment in an ongoing clinical cohort study (HEADSpAcE) that started before the COVID-19 pandemic, we compared the distribution of early-stage and late-stage diagnoses between the pre-COVID-19 and the COVID-19 period. Results There were 4,811 incident HNC admissions in the 5-year period before the COVID-19 outbreak and 832 admissions in 2020, of which 689 occurred after the COVID-19 outbreak in Italy. An initial reduction of 28% in admissions during the first wave of the COVID-19 pandemic (RR 0.72, 95% CI 0.62–0.84) was largely addressed by the end of 2020 (RR 0.96, 95% CI 0.89–1.03) when considering the whole population, although there were some heterogeneities. The gap between observed and expected admissions was particularly evident and had not completely recovered by the end of the year in older (≥75 years) patients (RR: 0.88, 0.76–1.01), patients with a Romano-Charlson comorbidity index below 2 (RR 0.91, 95% CI: 0.84–1.00), and primary surgically treated patients (RR 0.88, 95% CI 0.80–0.97). In the subgroup of patients eligible for the ongoing active recruitment, we observed no evidence of a shift toward a more advanced stage at diagnosis in the periods following the first pandemic wave. Conclusions The COVID-19 pandemic has affected differentially the management of certain groups of incident HNC patients, with more pronounced impact on older patients, those treated primarily surgically, and those with less comorbidities. The missed and delayed diagnoses may translate into worser oncological outcomes in these patients.
ABSTRACT
OBJECTIVES: to estimate the population prevalence of COVID-19-like symptoms in children and adults during the first SARS-CoV-2 epidemic wave hitting Italy in the spring 2020; to assess their geographical correlation with the cumulative number of COVID-19 cases by province; to analyse their clustering within families; to estimate their sensitivity, positive predictive value (PPV) and negative predictive value (NPV) for COVID-19 diagnosis in individuals tested for SARS-CoV-2. DESIGN: cross-sectional study nested within a birth cohort. SETTING AND PARTICIPANTS: mothers participating in an Italian birth cohort (NINFEA) were invited to complete an online questionnaire on COVID-19-like symptoms in their household. MAIN OUTCOME MEASURES: population prevalence of COVID-19-like symptoms in children and adults, geographical correlation of COVID-19-like symptoms with the cumulative number of COVID-19 cases by province, clustering of COVID-19-like symptoms within families, and sensitivity, PPV and NPV of COVID-19-like symptoms for COVID-19 diagnosis in individuals tested for SARS-CoV-2. RESULTS: information was collected on 3,184 households, 6,133 adults, and 5,751 children. In the period March-April 2020, 55.4% of the NINFEA families had at least one member with at least one COVID-19-like symptom. There was a strong geographical correlation between the population cumulative incidence of COVID-19 and the prevalence of muscle pain, fatigue, low-grade fever, and breathing difficulties in adults (Spearman's rho >=0.70). Having at least one family member with a COVID-19 diagnosis, compared with none tested for SARS-CoV-2, was associated with an increased prevalence ratio (PR) of almost all COVID-19-like symptoms in adults, and only of low-grade fever (37-37.5°C; PR 4.54; 95%CI 2.20-9.40) and anosmia/dysgeusia in children. Among adults with COVID-19 diagnosis, fatigue, muscle pain, and fever had a sensitivity >=70%. In individuals tested for SARS-CoV-2, with a 16.6% prevalence of COVID-19, breathing difficulties and nausea/vomiting had the highest PPVs, with point estimates close to 60%, and with NPVs close to 90%. CONCLUSIONS: the geographical prevalence of COVID-19-like symptoms in adults may inform on local disease clusters, while certain symptoms in family members of confirmed COVID-19 cases could help identify the intra-familial spread of the virus and its further propagation in the community. Low-grade fever is frequent in children with at least one household member with COVID-19 and possibly indicates child infection.
Subject(s)
Asbestos , COVID-19 , Adult , COVID-19 Testing , Child , Cross-Sectional Studies , Humans , Italy/epidemiology , SARS-CoV-2ABSTRACT
BACKGROUND: health literacy may contribute to the strategies to control the Coronavirus disease 2019 (COVID-19), as individuals need to acquire promptly new health information, understand the reasons behind recommendations, and adapt their behaviour accordingly. OBJECTIVES: to investigate sociodemographic and disease-related factors that can influence self-perceived knowledge (poor/medium vs high) about COVID-19 in women of the Italian NINFEA birth cohort. DESIGN: cross-sectional study. SETTING AND PARTICIPANTS: a web-based anonymous survey on COVID-19 was sent in April 2020 to women participating in the NINFEA cohort. A total of 3,129 women were included in the study. MAIN OUTCOME MEASURES: using multiple weighted logistic regression models, self-perceived knowledge level was analysed in relation with the following variables: age, education level, family size, cumulative incidence of severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) cases until 7 April 2020 by province, presence of COVID-19-like symptoms, SARS-CoV-2 testing, and COVID-19 diagnosis. RESULTS: the prevalence of self-perceived poor/medium knowledge was 57%. In multivariable logistic regression analyses, the odds ratio (OR) of self-perceived poor/medium COVID-19 knowledge level was increased for low/medium compared with high education level (OR 1.57; 95%CI 1.34-1.84), and decreased for SARS-CoV-2 testing (OR 0.25; 95%CI 0.16-0.39) and COVID-19 diagnosis (OR 0.20; 95%CI 0.07-0.60). There was no evidence of association between the other analysed variables and self-perceived knowledge level. CONCLUSIONS: the findings of this study suggest that low educational level is a determinant of low self-perceived knowledge on COVID-19 in middle-aged women.