Only 3 cases of coronavirus disease 2019 (COVID-19) were identified in Italy in the first half of February 2020 and all involved people who had recently traveled to China. On February 20, 2020, a severe case of pneumonia due to SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) was diagnosed in northern Italy's Lombardy region in a man in his 30s who had no history of possible exposure abroad. Within 14 days, many other cases of COVID-19 in the surrounding area were diagnosed, including a substantial number of critically ill patients. 1 On the basis of the number of cases and of the advanced stage of the disease it was hypothesized that the virus had been circulating within the population since January. Another cluster of patients with COVID-19 was simultaneously identified in Veneto, which borders Lombardy. Since then, the number of cases identified in Italy has rapidly increased, mainly in northern Italy, but all regions of the country have reported having patients with COVID-19. After China, Italy now has the second largest number of COVID-19 cases 2 and also has a very high case-fatality rate. 3 This Viewpoint reviews the Italian experience with COVID-19 with an emphasis on fatalities.

bioMérieux.

Background In February 2020, a locally-acquired COVID-19 case was detected in Lombardia, Italy. This was the first signal of ongoing transmission of SARS-CoV-2 in the country. The outbreak rapidly escalated to a national level epidemic, amid the WHO declaration of a pandemic. MethodsWe analysed data from the national case-based integrated surveillance system of all RT-PCR confirmed COVID-19 infections as of March 24 th 2020, collected from all Italian regions and autonomous provinces. Here we provide a descriptive epidemiological summary on the first 62,843 COVID-19 cases in Italy as well as estimates of the basic and net reproductive numbers by region.Findings Of the 62,843 cases of COVID-19 analysed, 71·6% were reported from three Regions (Lombardia, Veneto and Emilia-Romagna). All cases reported after February 20 th were locally acquired. Estimates of R0 varied between 2·5 (95%CI: 2·18-2·83) in Toscana and 3 (95%CI: 2·68-3·33) in Lazio, with epidemic doubling time of 3·2 days (95%CI: 2·3-5·2) and 2.9 days (95%CI: 2·2-4·3), respectively. The net reproduction number showed a decreasing trend starting around February 20-25, 2020 in Northern regions. Notably, 5,760 cases were reported among health care workers. Of the 5,541 reported COVID-19 associated deaths, 49% occurred in people aged 80 years or above with an overall crude CFR of 8·8%. Male sex and age were independent risk factors for COVID-19 death.Interpretation The COVID-19 infection in Italy emerged with a clustering onset similar to the one described in Wuhan, China and likewise showed worse outcomes in older males with comorbidities. Initial R0 at 2·96 in Lombardia, explains the high case-load and rapid geographical spread observed. Overall Rt in Italian regions is currently decreasing albeit with large diversities across the country, supporting the importance of combined non-pharmacological control measures.Funding: routine institutional funding was used to perform this work.

Our study aimed to estimate the prevalence of pregnancy e-health seekers in a large Italian sample; to explore the factors influencing the choices of the childbearing women regarding their lifestyles after internet consultation; and finally to investigate potential differences between primiparous and multiparous women in internet use to find information about pregnancy. Methods A multicentre survey was carried out in seven Italian cities. Data were collected through a validated questionnaire administered in waiting rooms of outpatient departments by medical doctors. Respondents were questioned about their sociodemographic status, their use of the internet to seek pregnancy information and their consequent choices to modify their lifestyles. Data were analysed using descriptive statistics and logistic regression. Results Almost all women were pregnancy e-health seekers (95%), including those who also received information from healthcare professionals. Indeed, the main reason for searching the web was the need of further knowledge on pregnancy-related topic, over and beyond other key advantages of the net such as anonymity, simplicity and rapidity. A higher likelihood of changing lifestyle after pregnancy e-health was observed among the women who searched institutional websites; declared more confidence in the information retrieved; participated into pregnancy-centred forum online; and were residents in Italy. Conclusions To reduce the likelihood for women of both finding erroneous information or misinterpreting correct ones, healthcare professionals should commit to fill the information gap and guide pregnant women in the online searches. Also, future studies are strongly needed to analyse the quality and accuracy of health information found on the web

Background Aim of the present study is to describe characteristics of COVID-19-related deaths and to compare the clinical phenotype and course of COVID-19-related deaths occurring in adults (<65 years) and older adults (≥65 years). Method Medical charts of 3,032 patients dying with COVID-19 in Italy (368 aged < 65 years and 2,664 aged ≥65 years) were revised to extract information on demographics, preexisting comorbidities, and in-hospital complications leading to death. Results Older adults (≥65 years) presented with a higher number of comorbidities compared to those aged <65 years (3.3 ± 1.9 vs 2.5 ± 1.8, p < .001). Prevalence of ischemic heart disease, atrial fibrillation, heart failure, stroke, hypertension, dementia, COPD, and chronic renal failure was higher in older patients (≥65 years), while obesity, chronic liver disease, and HIV infection were more common in younger adults (<65 years); 10.9% of younger patients (<65 years) had no comorbidities, compared to 3.2% of older patients (≥65 years). The younger adults had a higher rate of non-respiratory complications than older patients, including acute renal failure (30.0% vs 20.6%), acute cardiac injury (13.5% vs 10.3%), and superinfections (30.9% vs 9.8%). Conclusions Individuals dying with COVID-19 present with high levels of comorbidities, irrespective of age group, but a small proportion of deaths occur in healthy adults with no preexisting conditions. Non-respiratory complications are common, suggesting that the treatment of respiratory conditions needs to be combined with strategies to prevent and mitigate the effects of non-respiratory complications.

The ESAC PPS provided useful information on the quality of prescribing, which identified a number of targets for quality improvement. These could apply to specific departments or whole hospitals. Intensive care, which has different characteristics, should not be compared with general wards with respect to combination therapy, hospital-acquired infections or parenteral proportion. The study confirmed that the ESAC PPS methodology can be used on a large number of hospitals at regional, national, continental or global level.

Since February 21 2020, when the Italian National Institute of Health (Istituto Superiore di Sanità–ISS) reported the first autochthonous case of infection, a dedicated surveillance system for SARS‐CoV‐2‐positive (COVID+) cases has been created in Italy. These data were cross‐referenced with those inside the Information Transplant System in order to assess the cumulative incidence (CI) and the outcome of SARS‐COV‐2 infection in solid organ transplant recipients (SOTRs) who are assumed to be most at risk. We compared our results with those of COVID+ nontransplanted patients (Non‐SOTRs) with follow‐up through September 30, 2020. The CI of SARS‐CoV‐2 infection in SOTRs was 1.02%, higher than in COVID+ Non‐SOTRs (0.4%, p < .05) with a greater risk in the Lombardy region (2.89%). The CI by type of organ transplant was higher for heart (CI 1.57%, incidence rate ratio [IRR] 1.36) and lower for liver (CI 0.63%, IRR 0.54). The 60‐day CI of mortality was 30.6%, twice as much that of COVID+ Non‐SOTRs (15.4%) with a 60‐day gender and age adjusted odds ratio (adjusted‐OR) of 3.83 for COVID+ SOTRs (95% confidence interval [3.03–4.85]). The lowest 60‐day adjusted‐OR was observed in liver SOTRs (OR 0.46, 95% confidence interval [0.25–0.86]). More detailed studies on disease management and evolution will be necessary in these patients at greater risk of COVID‐19.

Background On 20 February 2020, a locally acquired coronavirus disease (COVID-19) case was detected in Lombardy, Italy. This was the first signal of ongoing transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the country. The number of cases in Italy increased rapidly and the country became the first in Europe to experience a SARS-CoV-2 outbreak. Aim Our aim was to describe the epidemiology and transmission dynamics of the first COVID-19 cases in Italy amid ongoing control measures. Methods We analysed all RT-PCR-confirmed COVID-19 cases reported to the national integrated surveillance system until 31 March 2020. We provide a descriptive epidemiological summary and estimate the basic and net reproductive numbers by region. Results Of the 98,716 cases of COVID-19 analysed, 9,512 were healthcare workers. Of the 10,943 reported COVID-19-associated deaths (crude case fatality ratio: 11.1%) 49.5% occurred in cases older than 80 years. Male sex and age were independent risk factors for COVID-19 death. Estimates of R0 varied between 2.50 (95% confidence interval (CI): 2.18–2.83) in Tuscany and 3.00 (95% CI: 2.68–3.33) in Lazio. The net reproduction number Rt in northern regions started decreasing immediately after the first detection. Conclusion The COVID-19 outbreak in Italy showed a clustering onset similar to the one in Wuhan, China. R0 at 2.96 in Lombardy combined with delayed detection explains the high case load and rapid geographical spread. Overall, Rt in Italian regions showed early signs of decrease, with large diversity in incidence, supporting the importance of combined non-pharmacological control measures.