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Simonini C, Natali P, Pirotti T, Nasillo V, Riva G, Chester J, Trenti T, Debbia D. SARS-CoV-2 infection is not associated with the emergence of monoclonal gammopathies. Int J Lab Hematol 2024; 46:451-456. [PMID: 38185475 DOI: 10.1111/ijlh.14225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 12/19/2023] [Indexed: 01/09/2024]
Abstract
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. Positive (SARS-CoV-2+) and negative (SARS-CoV-2-) patients to nasopharyngeal swab for SARS-CoV-2 by RT-PCR were included. The persistence/new occurrence of MC was investigated for all patients during follow-up. Patient groups were compared by chi-square analysis. RESULTS MC was identified in 12% of all patients admitted to hospital, of which 28.7% were SARS-CoV-2+. The most common immunoglobulin isotype in both groups was IgG-k. There was no correlation between MC development and SARS-CoV-2 infection (p = 0.173). Furthermore, the risk of MC persistence in SARS-CoV-2-negative patients was revealed to be higher than in the SARS-CoV-2+ at follow-up (HR = 0.591, p = 0.05). CONCLUSIONS Our study suggests that the detection of MC during SARS-CoV-2 infection is most likely due to the hyperstimulation of the humoral immune system, as also occurs in other viral infections.
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Affiliation(s)
- Cecilia Simonini
- Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
- Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Italy
| | - Patrizia Natali
- Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
| | - Tommaso Pirotti
- Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
| | - Vincenzo Nasillo
- Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
| | - Giovanni Riva
- Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
| | - Johanna Chester
- Surgical, Medical and Dental Department of Morphological Sciences related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Tommaso Trenti
- Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
| | - Daria Debbia
- Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
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Greco C, Pirotti T, Brigante G, Filippini T, Pacchioni C, Trenti T, Simoni M, Santi D. Glycemic control predicts SARS-CoV-2 prognosis in diabetic subjects. Acta Diabetol 2023; 60:817-825. [PMID: 36939895 PMCID: PMC10025792 DOI: 10.1007/s00592-023-02073-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 03/06/2023] [Indexed: 03/21/2023]
Abstract
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. METHODS Subjects with both type 1 and type 2 DM living in the Province of Modena and submitted to at least one SARS-CoV-2 swab between March 2020 and March 2021 were included. Data were extracted from the Hospital data warehouse. RESULTS 9553 diabetic subjects were enrolled (age 68.8 ± 14.1 years, diabetes duration 11.0 ± 6.9 years, glycated hemoglobin 57.2 ± 16.2 mmol/mol). COVID-19 was detected in 2302 patients (24.1%) with a death rate of 8.9%. The mean age and diabetes duration were significantly lower in infected versus non-infected patients. SARS-CoV-2 infection was more frequent in youngest people, according to quartile of age and retirement pension age of 65 years. No differences were detected considering sex. Higher HbA1c was detected in infected compared to non-infected patient. Death was predicted by diabetes duration and HbA1c. ROC analyses for death risk showed significant threshold for diabetes duration (10.9 years) and age (74.4 years). CONCLUSION In our cohort, SARS-CoV-2 infection correlates with age, diabetes duration and disease control. Diabetic patients with COVID-19 should be carefully followed when older than 74 years and with more than 10 years of DM duration.
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Affiliation(s)
- Carla Greco
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy.
- Unit of Endocrinology, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Di Modena, Ospedale Civile Di Baggiovara, Modena, Italy.
| | - Tommaso Pirotti
- Department of Laboratory Medicine and Anatomy Pathology, Azienda USL Modena, Modena, Italy
| | - Giulia Brigante
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
- Unit of Endocrinology, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Di Modena, Ospedale Civile Di Baggiovara, Modena, Italy
| | - Tommaso Filippini
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Chiara Pacchioni
- Unit of Endocrinology, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Di Modena, Ospedale Civile Di Baggiovara, Modena, Italy
| | - Tommaso Trenti
- Department of Laboratory Medicine and Anatomy Pathology, Azienda USL Modena, Modena, Italy
| | - Manuela Simoni
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
- Unit of Endocrinology, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Di Modena, Ospedale Civile Di Baggiovara, Modena, Italy
| | - Daniele Santi
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy
- Unit of Endocrinology, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Di Modena, Ospedale Civile Di Baggiovara, Modena, Italy
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Lagreca I, Nasillo V, Barozzi P, Castelli I, Basso S, Castellano S, Paolini A, Maccaferri M, Colaci E, Vallerini D, Natali P, Debbia D, Pirotti T, Ottomano AM, Maffei R, Bettelli F, Giusti D, Messerotti A, Gilioli A, Pioli V, Leonardi G, Forghieri F, Bresciani P, Cuoghi A, Morselli M, Manfredini R, Longo G, Candoni A, Marasca R, Potenza L, Tagliafico E, Trenti T, Comoli P, Luppi M, Riva G. Prognostic Relevance of Multi-Antigenic Myeloma-Specific T-Cell Assay in Patients with Monoclonal Gammopathies. Cancers (Basel) 2023; 15:cancers15030972. [PMID: 36765928 PMCID: PMC9913154 DOI: 10.3390/cancers15030972] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/15/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
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. In this report, we described a novel Multi-antigenic Myeloma-specific (MaMs) T-cell assay, based on ELISpot technology, providing simultaneous evaluation of T-cell responses towards ten different MM-associated antigens. When performed during long-term follow-up (mean 28 months) of 33 patients with either MGUS or SMM, such deca-antigenic myeloma-specific immunoassay allowed to significantly distinguish between stable vs. progressive disease (p < 0.001), independently from the Mayo Clinic risk category. Here, we report the first clinical experience showing that a wide (multi-antigen), standardized (irrespective to patients' HLA), MM-specific T-cell assay may routinely be applied, as a promising prognostic tool, during the follow-up of MGUS/SMM patients. Larger studies are needed to improve the antigenic panel and further explore the prognostic value of MaMs test in the risk assessment of patients with monoclonal gammopathies.
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Affiliation(s)
- Ivana Lagreca
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Vincenzo Nasillo
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Patrizia Barozzi
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Ilaria Castelli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Sabrina Basso
- Pediatric Hematology/Oncology Unit and Cell Factory, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, 27100 Pavia, Italy
| | - Sara Castellano
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Ambra Paolini
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Monica Maccaferri
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Elisabetta Colaci
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Daniela Vallerini
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Patrizia Natali
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Daria Debbia
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Tommaso Pirotti
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Anna Maria Ottomano
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Rossana Maffei
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Francesca Bettelli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Davide Giusti
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Andrea Messerotti
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Andrea Gilioli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Valeria Pioli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Giovanna Leonardi
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Fabio Forghieri
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Paola Bresciani
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Angela Cuoghi
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Monica Morselli
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Rossella Manfredini
- Centre for Regenerative Medicine “S. Ferrari”, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Giuseppe Longo
- Department of Oncology and Hematology, AOU Modena, 41124 Modena, Italy
| | - Anna Candoni
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Roberto Marasca
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Leonardo Potenza
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
| | - Enrico Tagliafico
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Tommaso Trenti
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
| | - Patrizia Comoli
- Pediatric Hematology/Oncology Unit and Cell Factory, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, 27100 Pavia, Italy
| | - Mario Luppi
- Section of Hematology, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Modena, 41124 Modena, Italy
- Correspondence: (M.L.); (G.R.); Tel.: +39-059-422-5570 (M.L.); +39-059-422-3025 (G.R.)
| | - Giovanni Riva
- Diagnostic Hematology and Clinical Genomics, Department of Laboratory Medicine and Pathology, AUSL/AOU Modena, 41124 Modena, Italy
- Correspondence: (M.L.); (G.R.); Tel.: +39-059-422-5570 (M.L.); +39-059-422-3025 (G.R.)
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Pecoraro V, Negro A, Pirotti T, Trenti T. Estimate false-negative RT-PCR rates for SARS-CoV-2. A systematic review and meta-analysis. Eur J Clin Invest 2022; 52:e13706. [PMID: 34741305 PMCID: PMC8646643 DOI: 10.1111/eci.13706] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 11/04/2021] [Indexed: 11/28/2022]
Abstract
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. We included observational studies that collected samples from respiratory tract to detect SARS-CoV-2 RNA using RT-PCR, reporting the number of false-negative subjects and the number of final patients with a COVID-19 diagnosis. Reported rates of false negatives were pooled in a meta-analysis as appropriate. We assessed the risk of bias of included studies and graded the quality of evidence according to the GRADE method. All information in this article is current up to February 2021. RESULTS We included 32 studies, enrolling more than 18,000 patients infected by SARS-CoV-2. The overall false-negative rate was 0.12 (95%CI from 0.10 to 0.14) with very low certainty of evidence. The impact of misdiagnoses was estimated according to disease prevalence; a range between 2 and 58/1,000 subjects could be misdiagnosed with a disease prevalence of 10%, increasing to 290/1,000 misdiagnosed subjects with a disease prevalence of 50%. CONCLUSIONS This systematic review showed that up to 58% of COVID-19 patients may have initial false-negative RT-PCR results, suggesting the need to implement a correct diagnostic strategy to correctly identify suspected cases, thereby reducing false-negative results and decreasing the disease burden among the population.
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Affiliation(s)
- Valentina Pecoraro
- Department of Laboratory Medicine and Pathology, Azienda USL of Modena, Modena, Italy
| | - Antonella Negro
- Health and Social Regional Agency of Emilia-Romagna Region, Bologna, Italy
| | - Tommaso Pirotti
- Department of Laboratory Medicine and Pathology, Azienda USL of Modena, Modena, Italy
| | - Tommaso Trenti
- Department of Laboratory Medicine and Pathology, Azienda USL of Modena, Modena, Italy
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