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1.
European Review for Medical and Pharmacological Sciences ; 26(16):5971-5977, 2022.
Article in English | Web of Science | ID: covidwho-2068333

ABSTRACT

- OBJECTIVE: This study aims at comparing the severity score assessed using high-resolution computed tomography (HRCT) in vaccinated and unvaccinated COVID-19 patients.PATIENTS AND METHODS: From the first of December 2021 to first of February 2022, we conducted a single-center retrospective analysis on COVID-19 patients who accessed ED services. The hospital in question is a level II facility with a catchment area of around 200,000 people. Ac-cording to the Italian recommendations, patients were divided into four groups based on the CT score of Micheal Chung. The sum of acute in-flammatory lung lesions involving each lobe was scored as 1 (0-25%), 2 (26-50%), 3 (51-75%) or 4 (76-100%) on a visual quantitative assessment of CT. The total severity score (TSS) was determined by summing the five lobe scores.RESULTS: The study included 134 patients di-vided into two groups: 67 vaccinated and 67 unvac-cinated people. 53 people had incomplete (single dose/double dose) immunization, while 14 people completed the vaccination cycle. It was discovered that the mean CT severity score was lower in fully vaccinated patients compared to partially vaccinat-ed or unvaccinated patients. The mean CT score was significantly lower in fully vaccinated patients aged 60 compared to older patients. The mean CT score was higher in unvaccinated patients com-pared to fully vaccinated patients. CONCLUSIONS: Individuals who received three doses of COVID-19 vaccination had lower CT severity scores than patients who received only one dose of vaccine or no vaccines at all.

2.
Open Access Macedonian Journal of Medical Sciences ; 10(C):257-260, 2022.
Article in English | EMBASE | ID: covidwho-2066672

ABSTRACT

BACKGROUND: Psoriasis is a chronic inflammatory disease that affects 2% of population. About 0.5–2% of psoriatic cases develop during pediatric age. In most cases, the condition is responsive to topical treatment. However, a small percentage of children require systemic treatment with conventional systemic drugs or biological agents, such as anti-tumor necrosis factor (TNF)-α. Adalimumab (ADA) is an anti-TNF-α recently approved for pediatric psoriasis in the European Union (from 4 years of age, 2015). CASE PRESENTATION: We describe our experience treating a 5-year-old female patient affected by severe plaque psoriasis with ADA biosimilar during SARS-CoV-2 pandemic outbreak also using teledermatology. CONCLUSION: The case reported in this article highlights the safety and the effectiveness of ADA biosimilar MSB11022 (Idacio®) in the treatment of a 5-year-old female affected by plaque psoriasis and paves the way to bigger trials for a more extensive use of TNF-α inhibitor biosimilars for psoriasis in pediatric population.

3.
Eur Rev Med Pharmacol Sci ; 26(16): 5971-5977, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-2026359

ABSTRACT

OBJECTIVE: This study aims at comparing the severity score assessed using high-resolution computed tomography (HRCT) in vaccinated and unvaccinated COVID-19 patients. PATIENTS AND METHODS: From the first of December 2021 to first of February 2022, we conducted a single-center retrospective analysis on COVID-19 patients who accessed ED services. The hospital in question is a level II facility with a catchment area of around 200,000 people. According to the Italian recommendations, patients were divided into four groups based on the CT score of Micheal Chung. The sum of acute inflammatory lung lesions involving each lobe was scored as 1 (0-25%), 2 (26-50%), 3 (51-75%) or 4 (76-100%) on a visual quantitative assessment of CT. The total severity score (TSS) was determined by summing the five lobe scores. RESULTS: The study included 134 patients divided into two groups: 67 vaccinated and 67 unvaccinated people. 53 people had incomplete (single dose/double dose) immunization, while 14 people completed the vaccination cycle. It was discovered that the mean CT severity score was lower in fully vaccinated patients compared to partially vaccinated or unvaccinated patients. The mean CT score was significantly lower in fully vaccinated patients aged 60 compared to older patients. The mean CT score was higher in unvaccinated patients compared to fully vaccinated patients. CONCLUSIONS: Individuals who received three doses of COVID-19 vaccination had lower CT severity scores than patients who received only one dose of vaccine or no vaccines at all.


Subject(s)
COVID-19 , COVID-19/prevention & control , COVID-19 Vaccines/therapeutic use , Humans , Retrospective Studies , Tomography, X-Ray Computed , Vaccination
4.
PHYSICAL REVIEW RESEARCH ; 4(2), 2022.
Article in English | Web of Science | ID: covidwho-1909088

ABSTRACT

Epidemic models are crucial to understand how an infectious disease spreads in a population and to devise the best containment strategies. Compartmental models can provide a fine-grained description of the evolution of an epidemic when microscopic information on the network of contacts among individuals is available. However, coarser-grained descriptions prove also to be useful in many aspects. They allow to derive closed expressions for key parameters, such as the basic reproduction number, to understand the relationship between the model parameters, and also to derive fast and reliable predictions of macroscopic observables for a disease outbreak. The so-called population models can be developed at different levels of coarse-graining, so it is crucial to determine: (i) to which extent and how the existing correlations in the contact network have to be included in these models and (ii) what is their impact on the model ability to reproduce and predict the time evolution of the populations at the various stage of the disease. In this work, we address these questions through a systematic analysis of two discrete-time SEAIR (susceptible-exposed-asymptomatic-infected-recovered) population models: the first one developed assuming statistical independence at the level of individuals, and the other one assuming independence at the level of pairs. We provide a detailed derivation and analysis of both models, focusing on their capability to reproduce an epidemic process on different synthetic networks, and then comparing their predictions under scenarios of increasing complexity. We find that, although both models can fit the time evolution of the compartment populations obtained through microscopic simulations, the epidemic parameters adopted by the individual-based model for this purpose may significantly differ from those of the microscopic simulations. However, pair-based model provides not only more reliable predictions of the dynamical evolution of the variables but also a good estimation of the epidemic parameters. The difference between the two models is even more evident in the particularly challenging scenario when one or more variables are not measurable, and therefore are not available for model tuning. This occurs for instance with asymptomatic infectious individuals in the case of COVID-19, an issue that has become extremely relevant during the recent pandemic. Under these conditions, the pairwise model again proves to perform much better than the individual-based representation, provided that it is fed with adequate information which, for instance, to be collected, may require a more detailed contact tracing. Overall, our results thus hallmark the importance of acquiring the proper empirical data to fully unfold the potentialities of models incorporating more sophisticated assumptions on the correlations among nodes in the contact network.

5.
Frontiers in robotics and AI ; 9, 2022.
Article in English | EuropePMC | ID: covidwho-1877192

ABSTRACT

The current Covid-19 pandemic poses an unprecedented global challenge in the field of education and training. As we have seen, the lack of proper information about the virus and its transmission has forced the general population and healthcare workers to rapidly acquire knowledge and learn new practices. Clearly, a well-informed population is more likely to adopt the correct precautionary measures, thus reducing the transmission of the infection;likewise, properly educated healthcare workers are better equipped to manage the emergency. However, the need to maintain physical distancing has made it impossible to provide in-presence information and training. In this regard, new technologies have proved to be an invaluable resource by facilitating distance learning. Indeed, e-learning offers significant advantages because it does not require the physical presence of learners and teachers. This innovative method applied to serious games has been considered potentially effective in enabling rapid and large-scale dissemination of information and learning through content interactivity. We will review studies that have observed the development and use of serious games to foster information and practices about Covid-19 aimed at promoting behavioral changes in the population and the healthcare personnel involved on the front line.

6.
J. Psychopathol. ; 28(1):27-29, 2022.
Article in English | Web of Science | ID: covidwho-1791267

ABSTRACT

Objective To evaluate the feasibility of remotely providing a diagnosis of autism during the Coronavirus Disease pandemic of 2019. Methods A child psychiatrist guided the parents' Autism Diagnostic Observation Schedule (ADOS-2) administration to assess their child's developmental delay through a video conference. Trained clinicians (n = 10) rated the recorded procedure. Interrater reliability for each item was evaluated using the kappa statistic and percent agreement. Results The mean percent agreement across all items was 96%, range = 85.96-100%, and mean weighted kappa = .81, range = .44-1. Conclusions This study highlights the feasibility of providing early identification and continuous psychiatric care during a pandemic lockdown.

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