[Mortality and impact of COVID-19 by citizenship in seven Italian Regions from the beginning of the pandemic to mid-July 2021]. / Mortalità per COVID-19 nella popolazione immigrata in sette Regioni italiane da inizio pandemia a metà luglio 2021.

OBJECTIVES: to quantify the variability of COVID-19 mortality from the beginning of the pandemic to mid-July 2021, in relation to the immigrant status and by Region and period. DESIGN: observational incidence study. SETTING AND PARTICIPANTS: the study population consists of the residents at the beginning of 2020 in seven Regions (Piedmont, Lombardy, Veneto, Emilia-Romagna, Tuscany, Lazio, Sicily) aged <=74 years. MAIN OUTCOME MEASURES: absolute frequency of deaths occurred in subjects who tested positive for SARS-CoV-2, crude and standardized rates (standard: Italian population at the beginning of 2020), and mortality rates ratios (obtained using Poisson models), by immigrant status and stratified by gender, Region of residence, and period. The study period was divided into 5 subperiods: 22.02.2020-25.05.2020, 26.05.2020-02.10.2020, 03.10.2020-26.02.2021, 27.02.2021-16.07.2021. RESULTS: the study includes more than one half of the Italian population and most of the immigrants residing in the country, who are younger than Italians and experienced fewer COVID-19 deaths. Deaths among those who tested positive varied greatly between Regions and periods; standardized rates showed considerable increases over time among immigrants. In terms of rate ratios, there were excesses among immigrant males in the third period (MRR: 1.46; 95%CI 1.30-1.65) and in the fourth period (MRR: 1.55; 95%CI 1, 34-1.81). Among immigrant females, there is an indication of lower risk in the third period (MRR: 0.79; 95%CI 0.65-0.97) and of greater risk in the fourth period (MRR: 1. 46; 95%CI 1.21-1.77). Finally, the effect is modified by the Region of residence, both in the third and in the fourth period for males and only in the fourth period for females. CONCLUSIONS: the risk of premature mortality due to COVID-19 is linked to immigrant status and with an intensity that varies by gender, Region, and period. More accessible tools for prevention, diagnosis and early healthcare can support immigrant communities in managing the risk factors linked to the spread of infections and, in particular, counteract their evolution into more severe disease outcomes.

[SARS-CoV-2 epidemic among Italians e resident immigrant population: differential incidence from an interregional multicentre study]. / L'epidemia di SARS-CoV-2 nella popolazione italiana e straniera: differenze di incidenza che emergono da uno studio multicentrico interregionale.

OBJECTIVES: to describe differences in the incidence of SARS-CoV-2 infections between Italians and foreigners residing in seven Italian Regions during the different phases of the pandemic and by gender. DESIGN: retrospective observational study. SETTING AND PARTICIPANTS: all confirmed SARS-CoV-2 infections from 02.02. 2020 to 16.07.2021 in the seven Regions under study were included. Italian resident population calculated by the National Institute of Statistics as of 01.01.2020 was used to calculate the rates. The considered period is divided into 5 sub-periods (phases). MAIN OUTCOME MEASURES: number of confirmed SARS-CoV-2 infections in the five phases of the pandemic and crude rates by citizenship (Italian vs foreign). Distribution of infections by age group and by week. Crude and age-adjusted incidence rates ratios (IRR) were calculated, by Region, gender, and phase of the pandemic. RESULTS: an epidemic curve delay was observed in foreigners in the first phase of the epidemic, in particular in the northern Regions, the most affected in that phase. The first phase of the epidemic was characterized by a greater proportion of cases occurred in people aged over 60 years than the other phases, both in Italians and in foreigners. The incidence among foreigners is higher during the summer of 2020 (intermediate period: June-September 2020) and during the last period (May-July 2021) in all Regions. The overall figure shows a lower incidence among foreigners than Italians, except for males in Tuscany. CONCLUSIONS: the lower incidence rates among foreigners should be interpreted with caution as the available data suggest that it is at least partly attributable to less access to diagnostic tests. Regional differences found in the study deserve further research together with the effect of gender and country of origin.

Indirect impact of the COVID-19 pandemic and its containment measures on social inequalities in hospital utilisation in Italy.

BACKGROUND: The pandemic may undermine the equity of access to and utilisation of health services for conditions other than COVID-19. The objective of the study is to evaluate the indirect impact of COVID-19 and lockdown measures on sociodemographic inequalities in healthcare utilisation in seven Italian areas. METHODS: In this multicentre retrospective study, we evaluated whether COVID-19 modified the association between educational level or deprivation and indicators of hospital utilisation and quality of care. We also assessed variations in gradients by sex and age class. We estimated age-standardised rates and prevalence and their relative per cent changes comparing pandemic (2020) and pre-pandemic (2018-2019) periods, and the Relative Index of Inequalities (RIIs) fitting multivariable Poisson models with an interaction between socioeconomic position and period. RESULTS: Compared with 2018-2019, hospital utilisation and, to a lesser extent, timeliness of procedures indicators fell during the first months of 2020. Larger declines were registered among women, the elderly and the low educated resulting in a shrinkage (or widening if RII <1) of the educational gradients for most of the indicators. Timeliness of procedures indicators did not show any educational gradient neither before nor during the pandemic. Inequalities by deprivation were nuanced and did not substantially change in 2020. CONCLUSIONS: The socially patterned reduction of hospital utilisation may lead to a potential exacerbation of health inequalities among groups who were already vulnerable before the pandemic. The healthcare service can contribute to contrast health disparities worsened by COVID-19 through more efficient communication and locally appropriate interventions.

Stratification of the risk of developing severe or lethal Covid-19 using a new score from a large Italian population: a population-based cohort study.

OBJECTIVES: To develop a population-based risk stratification model (COVID-19 Vulnerability Score) for predicting severe/fatal clinical manifestations of SARS-CoV-2 infection, using the multiple source information provided by the healthcare utilisation databases of the Italian National Health Service. DESIGN: Retrospective observational cohort study. SETTING: Population-based study using the healthcare utilisation database from five Italian regions. PARTICIPANTS: Beneficiaries of the National Health Service, aged 18-79 years, who had the residentship in the five participating regions. Residents in a nursing home were not included. The model was built from the 7 655 502 residents of Lombardy region. MAIN OUTCOME MEASURE: The score included gender, age and 29 conditions/diseases selected from a list of 61 conditions which independently predicted the primary outcome, that is, severe (intensive care unit admission) or fatal manifestation of COVID-19 experienced during the first epidemic wave (until June 2020). The score performance was validated by applying the model to several validation sets, that is, Lombardy population (second epidemic wave), and the other four Italian regions (entire 2020) for a total of about 15.4 million individuals and 7031 outcomes. Predictive performance was assessed by discrimination (areas under the receiver operating characteristic curve) and calibration (plot of observed vs predicted outcomes). RESULTS: We observed a clear positive trend towards increasing outcome incidence as the score increased. The areas under the receiver operating characteristic curve of the COVID-19 Vulnerability Score ranged from 0.85 to 0.88, which compared favourably with the areas of generic scores such as the Charlson Comorbidity Score (0.60). A remarkable performance of the score on the calibration of observed and predicted outcome probability was also observed. CONCLUSIONS: A score based on data used for public health management accurately predicted the occurrence of severe/fatal manifestations of COVID-19. Use of this score may help health decision-makers to more accurately identify high-risk citizens who need early preventive or treatment interventions.

Indirect impact of Covid-19 on hospital care pathways in Italy.

Earlier in 2020, seven Italian regions, which cover 62% of the Italian population, set up the Mimico-19 network to monitor the side effects of the restrictive measures against Covid-19 on volumes and quality of care. To this aim, we retrospectively analysed hospital discharges data, computing twelve indicators of volume and performance in three clinical areas: cardiology, oncology, and orthopaedics. Weekly indicators for the period January-July 2020 were compared with the corresponding average for 2018-2019; comparisons were performed within 3 sub-periods: pre-lockdown, lockdown, and post-lockdown. The weekly trend of hospitalisations for ST-segment elevation myocardial infarction (STEMI) showed a 40% reduction, but the proportion of STEMI patients with a primary PTCA did not significantly change from previous years. Malignant neoplasms surgery volumes differed substantially by site, with a limited reduction for lung cancer (< 20%) and greater declines (30-40%) for breast and prostate cancers. The percentage of timely surgery for femoral neck in the elderly remained constantly higher than the previous 2 years whereas hip and knee replacements fell dramatically. Hospitalisations have generally decreased, but the capacity of a timely and effective response in time-dependent pathways of care was not jeopardized throughout the period. General trends did not show important differences across regions, regardless of the different burden of Covid-19. Preventive and primary care services should adopt a pro-active approach, moving towards the identification of at-risk conditions that were neglected during the pandemic and timely addressing patients to the secondary care system.

Large-Scale Postmarketing Surveillance of Biological Drugs for Immune-Mediated Inflammatory Diseases Through an Italian Distributed Multi-Database Healthcare Network: The VALORE Project.

BACKGROUND: Biological drugs have improved the management of immune-mediated inflammatory diseases (IMIDs) despite being associated with important safety issues such as immunogenicity, infections, and malignancies in real-world settings. OBJECTIVE: The aim of this study was to explore the potential of a large Italian multi-database distributed network for use in the postmarketing surveillance of biological drugs, including biosimilars, in patients with IMID. METHODS: A retrospective cohort study was conducted using 13 Italian regional claims databases during 2010-2019. A tailor-made R-based tool developed for distributed analysis of claims data using a study-specific common data model was customized for this study. We measured the yearly prevalence of biological drug users and the frequency of switches between originator and biosimilars for infliximab, etanercept, and adalimumab separately and stratified them by calendar year and region. We then calculated the cumulative number of users and person-years (PYs) of exposure to individual biological drugs approved for IMIDs. For a number of safety outcomes (e.g., severe acute respiratory syndrome coronavirus 2 [SARS-COV-2] infection), we conducted a sample power calculation to estimate the PYs of exposure required to investigate their association with individual biological drugs approved for IMIDs, considering different strengths of association. RESULTS: From a total underlying population of almost 50 million inhabitants from 13 Italian regions, we identified 143,602 (0.3%) biological drug users, with a cumulative exposure of 507,745 PYs during the entire follow-up. The mean age ± standard deviation of biological drug users was 49.3 ± 16.3, with a female-to-male ratio of 1.2. The age-adjusted yearly prevalence of biological drug users increased threefold from 0.7 per 1000 in 2010 to 2.1 per 1000 in 2019. Overall, we identified 40,996 users of biosimilars of tumor necrosis factor (TNF)-α inhibitors (i.e., etanercept, adalimumab, and infliximab) in the years 2015-2019. Of these, 46% (N = 18,845) switched at any time between originator and biosimilars or vice versa. To investigate a moderate association (incidence rate ratio 2) between biological drugs approved for IMIDs and safety events of interest, such as optic neuritis (lowest background incidence rate 10.4/100,000 PYs) or severe infection (highest background incidence rate 4312/100,000 PYs), a total of 43,311 PYs and 104 PYs of exposure to individual biological drugs, respectively, would be required. As such, using this network, of 15 individual biological drugs approved for IMIDs, the association with those adverse events could be investigated for four (27%) and 14 (93%), respectively. CONCLUSION: The VALORE project multi-database network has access to data on more than 140,000 biological drug users (and > 0.5 million PYs) from 13 Italian regions during the years 2010-2019, which will be further expanded with the inclusion of data from other regions and more recent calendar years. Overall, the cumulated amount of person-time of exposure to biological drugs approved for IMIDs provides enough statistical power to investigate weak/moderate associations of almost all individual compounds and the most relevant safety outcomes. Moreover, this network may offer the opportunity to investigate the interchangeability of originator and biosimilars of several TNFα inhibitors in different therapeutic areas in real-world settings.

[Can diabetes and its related hypoglycemic drug treatment be considered risk factors for health outcomes in COVID-19 patients? The results of a study in the population residing in Sicily Region (Southern Italy)]. / Diabete e trattamento farmacologico con ipoglicemizzanti possono essere considerati fattori di rischio per gli esiti di salute in soggetti COVID-19? I risultati di uno studio nella popolazione residente in Sicilia.

OBJECTIVES: to evaluate the effects of a pre-existing condition of diabetes and of the use of antidiabetic drugs in the Sicilian population on different outcomes of the COVID-19 disease. DESIGN: a retrospective observational study based was used. Data deriving from the COVID-19 epidemic surveillance and from the collection of information on drugs consume by Sicilian residents. SETTING AND PARTICIPANTS: due to the data availability, the study was calibrated on the Region and included all population distinguishing by gender and age groups. MAIN OUTCOME MEASURES: the risks of cumulative incidence for COVID-19 were investigated in people who had diabetes comorbidities to incur a hospitalization for COVID-19, to be treated within an intensive care unit, and lethality. The role of previous antidiabetic drug treatments with respect to each study outcome was also investigated. RESULTS: in Sicily, from 01.03.2020 to 26.06.2020, a number of 172 cases of COVID-19 disease with diabetes comorbidity were diagnosed. The data did not show any difference in the cumulative incidence for COVID-19 between diabetics (64.2/100,000 inhabitants) and non-diabetics (56.9/100,000 inhabitants) patients. Diabetes increases the risk of hospitalization in the under 80 in both men and women (men: OR 2.62; women OR 4.31), for treatment in intensive care (men: OR 4,41; women: OR 7.74), and for death (men: OR 5.21; women OR 5.92). The analysis of drug using showed risks effect of insulin (OR 2.13) on hospitalization, sulfonylureas/glinides (OR 2.58) on intensive care and protective of metformin on death both in single component (OR 0.44) and in multicomponent (OR 0.43). CONCLUSIONS: data availability made it possible to monitor the occurrence and explore some of the characteristics of the cases with COVID-19 in Sicily. Diabetes does not seem to represent a risk factor for SARS-CoV-2 infection in Sicily, while previous diabetes condition seems to determine greater risk of hospitalization, treatment in intensive care, and lethality among over 80. There are also gender differences with almost double risks in women for hospitalization and intensive care only. Among the antidiabetic drugs investigated, there was a risk for hospitalization and intensive care while protective for deaths. This study represents an important tool for the activation of intervention programmes in the area aimed at populations with greater health risk deriving from the effects of this new pandemic.