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1.
authorea preprints; 2022.
Preprint in English | PREPRINT-AUTHOREA PREPRINTS | ID: ppzbmed-10.22541.au.164864371.12724953.v1

ABSTRACT

Background: No pathogen-specific prognostic biomarkers are yet available for SARS-CoV-2. We sought to assess whether SARS-CoV-2 cycle threshold value (Ct) at diagnosis may predict COVID-19 severity, clinical manifestations and 6-month sequelae. Methods: Hospitalised and outpatient cases were randomly sampled from the diagnoses of March and data collected after 6 months by interview and from the regional database for COVID-19 emergency. Patients were stratified according to their RNA-dependent-RNA-polymerase Ct in the nasal-pharyngeal swab at diagnosis: group A≤20.0, 20.028.0. Disease severity was classified according to a composite scale evaluating hospital admission, worst oxygen support required and survival. Results: One-hundred sixty-eight survivors and thirty-two deceased patients were included: 27.5% in A and B both, 45.0% in C. 90% of patients were symptomatic and 63.7% were hospitalised. Median time from COVID-19 onset to swab collection was 5 days. Lethality, number of comorbidities, disease severity, type and amount of signs and symptoms, as well as 6-month sequelae inversely distributed among the groups with respect to SARS-CoV-2 Ct. After adjusting for confounding, SARS-CoV-2 Ct at diagnosis was still associated with COVID-19-related death (p=0.023), disease severity (p=0.023), amount of signs and symptoms (p<0.01) and presence of sequelae (p<0.01). Conclusions: Early quantification of SARS-CoV-2 along the course of the disease may be a useful predictive marker to inform differential strategies of clinical management and resource allocation.


Subject(s)
COVID-19
2.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-763359.v1

ABSTRACT

The aims of this study were to characterize new SARS-CoV-2 genomes sampled all over Italy and to reconstruct the origin and the evolutionary dynamics in Italy and Europe between February and June 2020. The cluster analysis showed only small clusters including <80 Italian isolates, while most of the Italian strains were intermixed in the whole tree. Pure Italian clusters were observed mainly after the lockdown and distancing measures were adopted. Lineage B and B.1 spread between late January and early February 2020, from China to Veneto and Lombardy, respectively. Lineage B.1.1 most probably evolved within Italy and spread from central to south Italian regions, and to European countries. The lineage B.1.1.1 developed most probably in other European countries entering Italy only in the second half of March and remained localized in Piedmont until June 2020. In conclusion, the reconstructed ancestral scenario suggests a central role of China and Italy in the widespread diffusion of the D614G variant in Europe in the early phase of the pandemic and more dispersed exchanges involving several European countries from the second half of March 2020.

3.
preprints.org; 2021.
Preprint in English | PREPRINT-PREPRINTS.ORG | ID: ppzbmed-10.20944.preprints202107.0654.v1

ABSTRACT

The aim of this study was the reconstruction of SARS-CoV-2 evolutionary dynamics in time and space in Italy and Europe between February and June 2020. The cluster analysis showed that pure Italian clusters were observed mainly after the lockdown and distancing measures were adopted. Lineage B and B.1 spread between late January and early February 2020, from China to Veneto and Lombardy, respectively. Lineage B.1.1 most probably evolved within Italy and spread from central to south Italian regions, and to European countries. The lineage B.1.1.1 entered Italy only in the second half of March and remained localized in Piedmont until June 2020. In conclusion, the reconstructed ancestral scenario suggests a central role of China and Italy in the widespread diffusion of the D614G variant in Europe in the early phase of the pandemic and more dispersed exchanges involving several European countries from the second half of March 2020.

4.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-591143.v1

ABSTRACT

A growing number of emerging SARS-CoV-2 variants is being identified worldwide, potentially impacting the effectiveness of current vaccines. We report the data obtained in several Italian regions involved in the SARS-CoV-2 variant monitoring from the beginning of the epidemic and spanning the period from October 2020 to March 2021.

5.
preprints.org; 2021.
Preprint in English | PREPRINT-PREPRINTS.ORG | ID: ppzbmed-10.20944.preprints202105.0526.v1

ABSTRACT

A growing number of emerging SARS-CoV-2 variants is being identified worldwide, potentially impacting the effectiveness of current vaccines. We report the data obtained in several Italian regions involved in the SARS-CoV-2 variant monitoring from the beginning of the epidemic and spanning the period from October 2020 to March 2021.

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