Background: Upon infection activated plasma cells produce large quantities of antibodies which can lead to the emergence of a monoclonal component (MC), detectable by serum protein electrophoresis (SPEP). This study aims to investigate any correlation between SARS-CoV-2 infection and MC development and, if identified, whether it persists during follow-up.
Methods: SPEPs of 786 patients admitted to hospitals between March 01 2020 and March 31 2022 were evaluated.
Aim: The coronavirus disease (COVID)-19 incidence was higher in diabetes mellitus (DM), although several differences should be considered on the basis of characteristics of cohorts evaluated. This study was designed to evaluate the prevalence and potential consequences of COVID-19 in a large diabetic population in Northern Italy.
Design: Observational, longitudinal, retrospective, clinical study.
Multiple Myeloma (MM) typically originates from underlying precursor conditions, known as Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM). Validated risk factors, related to the main features of the clonal plasma cells, are employed in the current prognostic models to assess long-term probabilities of progression to MM. In addition, new prognostic immunologic parameters, measuring protective MM-specific T-cell responses, could help to identify patients with shorter time-to-progression.
View Article and Find Full Text PDFBackground: Reinfection by SARS-CoV-2 is a rare but possible event. We evaluated the prevalence of reinfections in the Province of Modena and performed an overview of systematic reviews to summarize the current knowledge.
Methods: We applied big data analysis and retrospectively analysed the results of oro- or naso-pharyngeal swab results tested for molecular research of viral RNA of SARS-CoV-2 between 1 January 2021 and 30 June 2021 at a single center.
Background: Molecular-based tests used to identify symptomatic or asymptomatic patients infected by SARS-CoV-2 are characterized by high specificity but scarce sensitivity, generating false-negative results. We aimed to estimate, through a systematic review of the literature, the rate of RT-PCR false negatives at initial testing for COVID-19.
Methods: We systematically searched Pubmed, Embase and CENTRAL as well as a list of reference literature.