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2.
Healthcare (Basel) ; 10(7)2022 Jul 05.
Article in English | MEDLINE | ID: covidwho-1917422

ABSTRACT

We are writing to you as the corresponding author of the interesting study "The Impact of Using mHealth Apps on Improving Public Health Satisfaction during the COVID-19 Pandemic: A Digital Content Value Chain Perspective" [...].

3.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases ; 2022.
Article in English | EuropePMC | ID: covidwho-1688244
5.
Healthcare (Basel) ; 10(2)2022 Jan 26.
Article in English | MEDLINE | ID: covidwho-1650915

ABSTRACT

This report illustrates the design and results of an activity of surveillance proposed by the National Centre for Innovative Technologies in Public Health and the National Centre for Rare Diseases of the Istituto Superiore di Sanità with the aim of monitoring the state-of-use of technologies by people with frailty, disabilities, and rare diseases. The results of the surveillance activity reported in this report are as follows: (a) An international Webinar; (b) A Full report published by the Istituto Superiore di Sanità (ISS); (c) an electronic survey tool, for periodic monitoring; (d) an initial summary of the survey (15 September-30 November 2020), giving an overall picture relating to the state-of-use of technologies by the interviewed; (e) an understanding of the needs that emerged, causing reflection on the current state-of-the-art and offering important stimuli for all the stakeholders involved.

7.
Aging Clin Exp Res ; 33(1): 193-199, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-986828

ABSTRACT

BACKGROUND: Epidemiological data obtained during the initial wave of the COVID-19 epidemic showed that persons dying with COVID-19 were typically older men with multiple chronic conditions. No studies have assessed if the characteristics of patients dying with COVID-19 have changed in the second phase of the epidemic, when the initial wave subsided. The aim of the present study was to compare characteristics of patients dying with COVID-19 in Italy in the first 'peak' phase of the epidemic and in its second phase. METHODS: Medical charts of patients with COVID-19 who died while in hospital in Italy were reviewed to extract information on pre-existing comorbidities, in-hospital complications, and disease trajectories. The course of the epidemic was classified in two 3-month periods: March-May 2020 and June-August 2020. FINDINGS: Overall, in the Italian population, 34,191 COVID-19 deaths occurred in March-May 2020 and 1,404 in June-August 2020. Patients dying in March-May were significantly younger (80.1 ± 10.6 vs. 82.8 ± 11.1 years, p < 0.001) and less frequently female (41.9% vs. 61.8%, p < 0.001) than those dying in June-August. The medical charts of 3533 patients who died with PCR-confirmed SARS-CoV-2 infection in March-May 2020 (10.3% of all deaths occurring in this period) and 203 patients who died in June-August 2020 (14.5% of all deaths occurring in this period) were analysed. Patients who died in March-May 2020, compared to those who died in June-August 2020, had significantly lower rates of multiple comorbidities (3 or more comorbidities: 61.8% vs 74.5%, p = 0.001) and superinfections (15.2% vs. 52.5%, p < 0.001). Treatment patterns also substantially differed in the two study periods, with patients dying in March-May 2020 being less likely to be treated with steroids (41.7% vs. 69.3%, p < 0.001) and more likely to receive antivirals (59.3% vs. 41.4%, p < 0.001). Survival time also largely differed, with patients dying in March-May 2020 showing a shorter time from symptoms onset to death (mean interval: 15.0 vs. 46.6 days, p < 0.001). The differences observed between the two periods remained significant in a multivariate analysis. INTERPRETATION: The clinical characteristics of patients dying with COVID-19 in Italy, their treatment and symptom-to-death survival time have significantly changed overtime. This is probably due to an improved organization and delivery of care and to a better knowledge of disease treatment.


Subject(s)
COVID-19 , Pandemics , Aged , Female , Hospitals , Humans , Italy/epidemiology , Male , SARS-CoV-2
8.
Am J Med Genet A ; 182(12): 2964-2970, 2020 12.
Article in English | MEDLINE | ID: covidwho-754918

ABSTRACT

BACKGROUND: Persons with Down syndrome (DS) are presumed to be at high risk of severe CoVID-19, due to immune dysregulation and often compromised cardiopulmonary function. Aim of the present study is to assess epidemiological and clinical characteristics of individuals with DS deceased in Italian hospitals with CoVID-19. METHODS: We used a nationwide database of 3,438 patients deceased with RT-PCR-confirmed SARS-CoV-2 infection in Italy (10.4% of all deaths with CoVID-19 in the country at the time of analysis). Data on demographics, pre-existing comorbidities and in-hospital complications leading to death were extracted from medical charts obtained from hospitals. Data on individuals with DS deceased with CoVID-19 were obtained from this sample. RESULTS: Sixteen cases of death in individuals with DS (0.5% of all charts analyzed) were identified. Acute respiratory distress syndrome occurred in all 16 cases. Compared with individuals without DS, those with DS deceased with CoVID-19 were younger (52.3 ± 7.3 vs. 78.1 ± 10.6 years, p < .001) and presented a higher incidence of superinfections (31.2 vs. 13.0%, p = .029). Autoimmune diseases (43.8 vs. 4%, p < .001), obesity (37.5 vs. 11%, p = .009), and dementia (37.5 vs. 16.3%, p = .012) were more prevalent in individuals with DS. ICU admissions was similar in both groups (25 vs. 18.8%, p = .129). CONCLUSIONS: Individuals with DS deceased with CoVID-19 are younger than individuals without DS. Comorbidity burden and increased risk of complications (i.e., bacterial superinfections) can influence CoVID-19 prognosis in individuals with DS. Specific strategies to prevent and mitigate the effects of CoVID-19 in the population with DS are needed.


Subject(s)
COVID-19/epidemiology , Down Syndrome/epidemiology , Pandemics , Aged , COVID-19/virology , Comorbidity , Female , Hospitalization , Humans , Intensive Care Units , Italy/epidemiology , Male , Middle Aged
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