SARS-CoV-2 antibody responses before and after a third dose of the BNT162b2 vaccine in Italian healthcare workers aged ≤60 years: One year of surveillance.

This study monitored the anti-spike-receptor-binding domain (RBD) and neutralizing antibodies induced by the Pfizer/BioNTech mRNA BNT162b2 vaccine in a cohort of 163 healthcare workers aged ≤60 years. We have taken advantage of two study groups, both of whom received the first two doses in the same time window, but Group 1 (54 HCWs) received the third dose 2 months before Group 2 (68 HCWs) did. The cohorts were monitored from the 12th day after the first vaccine dose up to 1 month after the third vaccine dose for a total of eight time points and about 1 year of surveillance (T1 = 12 days after the first dose; T2 = 10 days after the second dose; T3 = 1 month after the second dose; T4 = 3 months after the second dose; T5 = 4 months after the second dose; T6 = 5 months after the second dose; T7 = 7 months after the second dose; T8 = 1 month after the third dose for Group 1; T8* = 9 months after the second dose for Group 2; T9 = 1 month after the third dose for Group 2). The mean value of anti-spike antibodies decreased faster over time, but at T7, its decline was significantly slowed (T7 vs. T8*). After the third dose, the anti-spike titer rose about 34-fold (T7 vs. T8 and T8* vs. T9) and the booster improved the anti-spike titer by about three times compared with that of the second dose (T3 vs. T8 and T3 vs. T9), and no difference was noted between the two groups. The neutralizing titer was evaluated at T3, T7, T8, and T9. Anti-spike and neutralizing antibodies were found to be strongly correlated (r2 = 0.980; p < 0.001). At T3, 70% of the participants had a neutralizing antibody titer >91% of total anti-spike antibodies that increased to 90% after the third dose (T8 and T9). However, when the anti-spike titer reached its lowest value (T7), the neutralizing antibody levels decreased even further, representing only 44% of total anti-spike antibodies (p < 0.0001). Our findings show that the third vaccine dose improves the humoral response, but the wane of the anti-spike and neutralizing antibody titers over time is more marked in the neutralizing antibodies.

[Italian Cystic Fibrosis Registry (ICFR). Report 2019-2020]. / Registro italiano Fibrosi Cistica (RIFC). Rapporto 2019-2020.

INTRODUCTION: Italian cystic fibrosis registry (ICFR) collects data from cystic fibrosis (CF) patients through the collaboration with Italian CF referral and support Centres (Italian law 548/93). ICFR contributes: • to the analysis of medium and long term clinical and epidemiological trends of the disease; • to the identification of the main health care needs at regional and national level to contribute to the Health Care programmes and to the distribution of resources; • to the comparison of the Italian data with international ones. This latter is based on the collaboration with the European CF registry and, due the COVID-19 pandemic emergency, with important global projects. OBJECTIVES: The purpose of this Report is to update the demographic and clinical data of the Italian FC population in the years 2019 and 2020, contributing to the information necessary to implement projects to improve the management of patients affected by this disease. DESIGN: Analyses and results described in the present Report are referred to patients currently followed at the Italian National Referral and Support Centres for Cystic Fibrosis in the 2019-2020 period. Data were sent by clinical Centres through a dedicated web-based software. Data undergo a double quality control (QC): the first is automatically performed by the software (quantitative QC), the second is performed at a European level (before the inclusion of the Italian data within the European Cystic Fibrosis Registry). These QCs assure the completeness and the accuracy of data as well as their longitudinal consistency with the European core data. SETTING AND PARTICIPANTS: A total of 29 CF Centres (referral and support centres and 'Bambino Gesù' Children's Hospital CF centre) sent to ICFR their data referred referred to years 2019-2020. CF Centres of Verona, Messina, and Palermo (this latter only for 2019) do not use the ICFR software; however, their data are firstly collected in a centralized manner, then sent to the European Registry. Data from support centres of Treviso and Rovereto are sent through the Verona CF Center. Finally, data from Sardinia Centre are still missing. RESULTS: The present Report has been organized into 10 sections. 1. Demography: in 2019, 5,585 CF patients were registered in the ICFR and 5,801 in 2020; median age was 21.6 years in 2019 and 22.4 years in 2020. Prevalence was 9.36/100,000 and 9.79/100,000 residents in Italy in 2019 and in 2020, respectively. Male percentage was 51.5% in 2019 and 2020 and CF distribution by age range showed higher frequency in patients aged 7 to 35 years. Adult patients (aged more than 18 years) were 59.5% on average in both years. 2. Diagnoses: most of the CF patients were diagnosed before two years of age (median value 68.5%); a significant percentage of patients (12.9% in 2019 and 13.4% in 2020) was diagnosed in adult age. 3. New diagnoses: new diagnoses were 136 in 2019 and 96 in 2020. Estimated incidence was 1/5.568 living births in 2019 and 1/7.369 in 2020. 4. Genetics: 99.9% of patients underwent genetic analyses and in 98.2% of these patients a mutation in Cystic Fibrosis Transmembrane Regulator (CFTR) gene was identified. The F508del mutation was the most frequent (identified in 44.7% allele; 2019 data). Furthermore, on average 17.3% of patients had at least one 'residual function' mutation. At least one gating mutation is present in 3.3% of Italian patients. Finally, 20.5% of patients had at least one stop codon mutation (class 1). 5. Lung function: percent predicted FEV1 (Forced Expiratory Volume in the first second) progressively declined before adult age, in accordance with the natural history of the disease. The majority of paediatric patients (6-17 years of age), i.e., 86.7% in 2019 and 90.5% in 2020, had percent predicted FEV1 >=70%; whereas paediatric patients with a FEV1% >=40% are less than 2% in the study period. 6. Nutrition: the two most critical periods are the first 6 months of life and adolescence. Prevalence of malnourished adolescent males (12-17 years of age) is higher than the prevalence observed in females. Increasing percentages of female patients with a suboptimal BMI value (33.5% and 31.4%, respectively, in 2019 and 2020) are observed in adult age. 7. Complications: in 2019, CF-related liver disease without cirrhosis was the main complication both in patients aged less than 18 years (20.3% on average) and in adults (37.5%). CF-related diabetes was also frequent in CF adults (23.4%). 8. Transplantation: in 2019-2020, 64 patients received a double-lung transplantation. Median and range of age were 33 years (12.29-57.46) in 2017 and 32.9 (16.5-53.6) years in 2020. Median waiting times for lung transplantation in the two-year period ranged from 6 to 8 months. 9. Microbiology: percentage of adult patients with chronic Pseudomonas aeruginosa infection was 41.6% in 2019 and 38.8% in 2020 vs 14.3% in 2019 and 7.6% in 2020 in paediatric age. Staphylococcus aureus infection is present in 31.1% and 35.9% of adult patients in 2019 and in 33.5% and 34.7% of paediatric patients in 2020. 10. Mortality: a total of 51 patients died in the 2019-2020 period (28 females and 23 males); median age at death was 35.7 years in 2019 and 39 years in 2020 (transplanted patients are not included). CONCLUSIONS: The present report shows that the Italian CF population is growing (4,159 in 2010 vs 5,801 in 2020). Median age of patients increased in the 2010-2020 period (17 years in 2010 vs 22.4 years in 2020). Prevalence of adult patients is increasing (in 2020, 60.5% of patients is more than 18 years old). About 68.5% of new patients is diagnosed within the second year of life and median age at death (transplanted patients not included) increased in 2020 up to 39 years (in 2018 this value was 35.8). Some statistical differences between 2019 and 2020 are mainly due to the absence of about 200 patients not included in 2019 data by a participating centre for a technical problem.

SARS-CoV-2 antibody responses before and after a third dose of the BNT162b2 vaccine in Italian healthcare workers aged ≤60 years: One year of surveillance

This study monitored the anti-spike-receptor-binding domain (RBD) and neutralizing antibodies induced by the Pfizer/BioNTech mRNA BNT162b2 vaccine in a cohort of 163 healthcare workers aged ≤60 years. We have taken advantage of two study groups, both of whom received the first two doses in the same time window, but Group 1 (54 HCWs) received the third dose 2 months before Group 2 (68 HCWs) did. The cohorts were monitored from the 12th day after the first vaccine dose up to 1 month after the third vaccine dose for a total of eight time points and about 1 year of surveillance (T1 = 12 days after the first dose;T2 = 10 days after the second dose;T3 = 1 month after the second dose;T4 = 3 months after the second dose;T5 = 4 months after the second dose;T6 = 5 months after the second dose;T7 = 7 months after the second dose;T8 = 1 month after the third dose for Group 1;T8* = 9 months after the second dose for Group 2;T9 = 1 month after the third dose for Group 2). The mean value of anti-spike antibodies decreased faster over time, but at T7, its decline was significantly slowed (T7 vs. T8*). After the third dose, the anti-spike titer rose about 34-fold (T7 vs. T8 and T8* vs. T9) and the booster improved the anti-spike titer by about three times compared with that of the second dose (T3 vs. T8 and T3 vs. T9), and no difference was noted between the two groups. The neutralizing titer was evaluated at T3, T7, T8, and T9. Anti-spike and neutralizing antibodies were found to be strongly correlated (r2 = 0.980;p < 0.001). At T3, 70% of the participants had a neutralizing antibody titer >91% of total anti-spike antibodies that increased to 90% after the third dose (T8 and T9). However, when the anti-spike titer reached its lowest value (T7), the neutralizing antibody levels decreased even further, representing only 44% of total anti-spike antibodies (p < 0.0001). Our findings show that the third vaccine dose improves the humoral response, but the wane of the anti-spike and neutralizing antibody titers over time is more marked in the neutralizing antibodies.

Factors associated with clinical progression to severe COVID-19 in people with cystic fibrosis: A global observational study.

BACKGROUND: This international study aimed to characterise the impact of acute SARS-CoV-2 infection in people with cystic fibrosis and investigate factors associated with severe outcomes. Methods Data from 22 countries prior to 13th December 2020 and the introduction of vaccines were included. It was de-identified and included patient demographics, clinical characteristics, treatments, outcomes and sequalae following SARS-CoV-2 infection. Multivariable logistic regression was used to investigate factors associated with clinical progression to severe COVID-19, using the primary outcome of hospitalisation with supplemental oxygen. RESULTS: SARS-CoV-2 was reported in 1555 people with CF, 1452 were included in the analysis. One third were aged <18 years, and 9.4% were solid-organ transplant recipients. 74.5% were symptomatic and 22% were admitted to hospital. In the non-transplanted cohort, 39.5% of patients with ppFEV1<40% were hospitalised with oxygen verses 3.2% with ppFEV >70%: a 17-fold increase in odds. Worse outcomes were independently associated with older age, non-white race, underweight body mass index, and CF-related diabetes. Prescription of highly effective CFTR modulator therapies was associated with a significantly reduced odds of being hospitalised with oxygen (AOR 0.43 95%CI 0.31-0.60 p<0.001). Transplanted patients were hospitalised with supplemental oxygen therapy (21.9%) more often than non-transplanted (8.8%) and was independently associated with the primary outcome (Adjusted OR 2.45 95%CI 1.27-4.71 p=0.007). CONCLUSIONS: This is the first study to show that there is a protective effect from the use of CFTR modulator therapy and that people with CF from an ethnic minority are at more risk of severe infection with SARS-CoV-2.

Evaluation of AI-Based Segmentation Tools for COVID-19 Lung Lesions on Conventional and Ultra-low Dose CT Scans.

A reliable diagnosis and accurate monitoring are pivotal steps for treatment and prevention of COVID-19. Chest computed tomography (CT) has been considered a crucial diagnostic imaging technique for the injury assessment of the viral pneumonia. Furthermore, the automatization of the segmentation methods for lung alterations helps to speed up the diagnosis and lighten radiologists' workload. Considering the assiduous pathology monitoring, ultra-low dose (ULD) chest CT protocols have been implemented to drastically reduce the radiation burden. Unfortunately, the available AI technologies have not been trained on ULD-CT data and validated and their applicability deserves careful evaluation. Therefore, this work aims to compare the results of available AI tools (BCUnet, CORADS AI, NVIDIA CLARA Train SDK and CT Pneumonia Analysis) on a dataset of 73 CT examinations acquired both with conventional dose (CD) and ULD protocols. COVID-19 volume percentage, resulting from each tool, was statistically compared. This study demonstrated high comparability of the results on CD-CT and ULD-CT data among the four AI tools, with high correlation between the results obtained on both protocols (R > .68, P < .001, for all AI tools).

Acceptance of COVID-19 and Influenza Vaccine Co-Administration: Insights from a Representative Italian Survey.

Co-administration of coronavirus disease 2019 (COVID-19) and seasonal influenza vaccines has several advantages, has been advocated by various public health authorities and should be seen as an opportunity to increase the uptake of both vaccines. The objective of this survey was to quantify the acceptance of concomitant COVID-19/influenza vaccination and to identify its correlates in a representative sample of Italian adults. Of 2463 participants, a total of 22.9% were favorable to vaccine co-administration, while 16.6% declared their firm unwillingness to receive both vaccines simultaneously. The remaining 60.5% of subjects could be dubbed hesitant to some degree. Compliance with the primary COVID-19 vaccination schedule (adjusted proportional odds ratio (aOR) = 7.78), previous influenza vaccination (aOR = 1.89) and trust in public health institutions (aOR = 1.22) were the main determinants of positive attitudes toward vaccine co-administration. Other significant correlates included age, sex, perceived disease severity and vaccination risk-benefit, being offered a more personalized influenza vaccine and recent seeking for influenza-related information. In Italy, hesitancy toward COVID-19/influenza vaccine co-administration is common and appears to be higher than hesitancy toward either vaccine administered alone. This pattern is multifaceted and requires specific and tailored strategies, with public health institutions playing the central role.

How does DICOM support big data management? Investigating its use in medical imaging community.

The diagnostic imaging field is experiencing considerable growth, followed by increasing production of massive amounts of data. The lack of standardization and privacy concerns are considered the main barriers to big data capitalization. This work aims to verify whether the advanced features of the DICOM standard, beyond imaging data storage, are effectively used in research practice. This issue will be analyzed by investigating the publicly shared medical imaging databases and assessing how much the most common medical imaging software tools support DICOM in all its potential. Therefore, 100 public databases and ten medical imaging software tools were selected and examined using a systematic approach. In particular, the DICOM fields related to privacy, segmentation and reporting have been assessed in the selected database; software tools have been evaluated for reading and writing the same DICOM fields. From our analysis, less than a third of the databases examined use the DICOM format to record meaningful information to manage the images. Regarding software, the vast majority does not allow the management, reading and writing of some or all the DICOM fields. Surprisingly, if we observe chest computed tomography data sharing to address the COVID-19 emergency, there are only two datasets out of 12 released in DICOM format. Our work shows how the DICOM can potentially fully support big data management; however, further efforts are still needed from the scientific and technological community to promote the use of the existing standard, encouraging data sharing and interoperability for a concrete development of big data analytics.

Incidence of SARS-CoV-2 in people with cystic fibrosis in Europe between February and June 2020.

BACKGROUND: Viral infections can cause significant morbidity in cystic fibrosis (CF). The current Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic could therefore have a serious impact on the health of people with CF (pwCF). METHODS: We used the 38-country European Cystic Fibrosis Society Patient Registry (ECFSPR) to collect case data about pwCF and SARS-CoV-2 infection. RESULTS: Up to 30 June 2020, 16 countries reported 130 SARS-CoV-2 cases in people with CF, yielding an incidence of 2.70/1000 pwCF. Incidence was higher in lung-transplanted patients (n=23) versus non-transplanted patients (n=107) (8.43 versus 2.36 cases/1000). Incidence was higher in pwCF versus the age-matched general population in the age groups <15, 15-24, and 25-49 years (p<0.001), with similar trends for pwCF with and without lung transplant. Compared to the general population, pwCF (regardless of transplantation status) had significantly higher rates of admission to hospital for all age groups with available data, and higher rates of intensive care, although not statistically significant. Most pwCF recovered (96.2%), however 5 died, of whom 3 were lung transplant recipients. The case fatality rate for pwCF (3.85%, 95% CI: 1.26-8.75) was non-significantly lower than that of the general population (7.46%; p=0.133). CONCLUSIONS: SARS-CoV-2 infection can result in severe illness and death for pwCF, even for younger patients and especially for lung transplant recipients. PwCF should continue to shield from infection and should be prioritized for vaccination.

Clinical characteristics of SARS-CoV-2 infection in children with cystic fibrosis: An international observational study.

BACKGROUND: The presence of co-morbidities, including underlying respiratory problems, has been identified as a risk factor for severe COVID-19 disease. Information on the clinical course of SARS-CoV-2 infection in children with cystic fibrosis (CF) is limited, yet vital to provide accurate advice for children with CF, their families, caregivers and clinical teams. METHODS: Cases of SARS-CoV-2 infection in children with CF aged less than 18 years were collated by the CF Registry Global Harmonization Group across 13 countries between 1 February and 7 August 2020. RESULTS: Data on 105 children were collated and analysed. Median age of cases was ten years (interquartile range 6-15), 54% were male and median percentage predicted forced expiratory volume in one second was 94% (interquartile range 79-104). The majority (71%) of children were managed in the community during their COVID-19 illness. Out of 24 children admitted to hospital, six required supplementary oxygen and two non-invasive ventilation. Around half were prescribed antibiotics, five children received antiviral treatments, four azithromycin and one additional corticosteroids. Children that were hospitalised had lower lung function and reduced body mass index Z-scores. One child died six weeks after testing positive for SARS-CoV-2 following a deterioration that was not attributed to COVID-19 disease. CONCLUSIONS: SARS-CoV-2 infection in children with CF is usually associated with a mild illness in those who do not have pre-existing severe lung disease.

The global impact of SARS-CoV-2 in 181 people with cystic fibrosis.

With the growing SARS-CoV-2 pandemic, we need to better understand its impact in specific patient groups like those with Cystic Fibrosis (CF). We report on 181 people with CF (32 post-transplant) from 19 countries diagnosed with SARS-CoV-2 prior to 13 June 2020. Infection with SARS-CoV-2 appears to exhibit a similar spectrum of outcomes to that seen in the general population, with 11 people admitted to intensive care (7 post-transplant), and 7 deaths (3 post-transplant). A more severe clinical course may be associated with older age, CF-related diabetes, lower lung function in the year prior to infection, and having received an organ transplant. Whilst outcomes in this large cohort are better than initially feared overall, possibly due to a protective effect of the relatively younger age of the CF population compared to other chronic conditions, SARS-CoV-2 is not a benign disease for all people in this patient group.