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Diagnosis of Imported Dengue and Zika Virus Infections in Italy from November 2015 to November 2022: Laboratory Surveillance Data from a National Reference Laboratory
Dengue (DENV) and Zika (ZIKV) viruses are mosquito-borne human pathogens. In Italy, the presence of the competent vector increases the risk of autochthonous transmission, and a national plan for arboviruses prevention, surveillance, and response (PNA 2020-2025) is in place. The results of laboratory...
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Published in: | Viruses 2023-12, Vol.16 (1), p.50 |
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creator | Merakou, Christina Amendola, Antonello Fortuna, Claudia Marsili, Giulia Fiorentini, Cristiano Argentini, Claudio Benedetti, Eleonora Rezza, Gianni Maraglino, Francesco Del Manso, Martina Bella, Antonino Pezzotti, Patrizio Riccardo, Flavia Palamara, Anna Teresa Venturi, Giulietta The Arbovirus Working Group |
description | Dengue (DENV) and Zika (ZIKV) viruses are mosquito-borne human pathogens. In Italy, the presence of the competent vector
increases the risk of autochthonous transmission, and a national plan for arboviruses prevention, surveillance, and response (PNA 2020-2025) is in place. The results of laboratory diagnosis of both viruses by the National Reference Laboratory for arboviruses (NRLA) from November 2015 to November 2022 are presented. Samples from 655 suspected cases were tested by both molecular and serological assays. Virus and antibody kinetics, cross-reactivity, and diagnostic performance of IgM ELISA systems were analysed. Of 524 cases tested for DENV, 146 were classified as confirmed, 7 as probable, while 371 were excluded. Of 619 cases tested for ZIKV, 44 were classified as confirmed, while 492 were excluded. All cases were imported. Overall, 75.3% (110/146) of DENV and 50% (22/44) of ZIKV cases were confirmed through direct virus detection methods. High percentages of cross reactivity were observed between the two viruses. The median lag time from symptoms onset to sample collection was 7 days for both DENV molecular (range 0-20) and NS1 ELISA (range 0-48) tests, with high percentages of positivity also after 7 days (39% and 67%, respectively). For ZIKV, the median lag time was 5 days (range 0-22), with 16% positivity after 7 days. Diagnostic performance was assessed with negative predictive values ranging from 92% to 95% for the anti-DENV systems, and of 97% for the ZIKV one. Lower positive predictive values were seen in the tested population (DENV: 55% to 91%, ZIKV: 50%). DENV and ZIKV diagnosis by molecular test is the gold standard, but sample collection time is a limitation. Serological tests, including Plaque Reduction Neutralization Test, are thus necessary. Co-circulation and cross-reactivity between the two viruses increase diagnostic difficulty. Continuous evaluation of diagnostic strategies is essential to improve laboratory testing. |
doi_str_mv | 10.3390/v16010050 |
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increases the risk of autochthonous transmission, and a national plan for arboviruses prevention, surveillance, and response (PNA 2020-2025) is in place. The results of laboratory diagnosis of both viruses by the National Reference Laboratory for arboviruses (NRLA) from November 2015 to November 2022 are presented. Samples from 655 suspected cases were tested by both molecular and serological assays. Virus and antibody kinetics, cross-reactivity, and diagnostic performance of IgM ELISA systems were analysed. Of 524 cases tested for DENV, 146 were classified as confirmed, 7 as probable, while 371 were excluded. Of 619 cases tested for ZIKV, 44 were classified as confirmed, while 492 were excluded. All cases were imported. Overall, 75.3% (110/146) of DENV and 50% (22/44) of ZIKV cases were confirmed through direct virus detection methods. High percentages of cross reactivity were observed between the two viruses. The median lag time from symptoms onset to sample collection was 7 days for both DENV molecular (range 0-20) and NS1 ELISA (range 0-48) tests, with high percentages of positivity also after 7 days (39% and 67%, respectively). For ZIKV, the median lag time was 5 days (range 0-22), with 16% positivity after 7 days. Diagnostic performance was assessed with negative predictive values ranging from 92% to 95% for the anti-DENV systems, and of 97% for the ZIKV one. Lower positive predictive values were seen in the tested population (DENV: 55% to 91%, ZIKV: 50%). DENV and ZIKV diagnosis by molecular test is the gold standard, but sample collection time is a limitation. Serological tests, including Plaque Reduction Neutralization Test, are thus necessary. Co-circulation and cross-reactivity between the two viruses increase diagnostic difficulty. Continuous evaluation of diagnostic strategies is essential to improve laboratory testing.</description><identifier>ISSN: 1999-4915</identifier><identifier>EISSN: 1999-4915</identifier><identifier>DOI: 10.3390/v16010050</identifier><identifier>PMID: 38257751</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Aedes ; Animals ; Antibodies ; arboviral infections ; arbovirus diagnostics ; Asymptomatic ; Cerebrospinal fluid ; Cross-reactivity ; Demographic aspects ; Dengue ; Dengue - diagnosis ; Dengue - epidemiology ; Dengue fever ; Dengue virus ; DENV ; Diagnosis ; Disease ; Distribution ; Encephalitis ; Enzyme-linked immunosorbent assay ; Epidemics ; Epidemiology ; Genomes ; Humans ; Immunoglobulin M ; Infections ; Italy - epidemiology ; Laboratories ; Mortality ; Mosquito Vectors ; Serological tests ; Serology ; Surveillance ; Vector-borne diseases ; Viruses ; Zika Virus ; Zika Virus Infection - diagnosis ; ZIKV</subject><ispartof>Viruses, 2023-12, Vol.16 (1), p.50</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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In Italy, the presence of the competent vector
increases the risk of autochthonous transmission, and a national plan for arboviruses prevention, surveillance, and response (PNA 2020-2025) is in place. The results of laboratory diagnosis of both viruses by the National Reference Laboratory for arboviruses (NRLA) from November 2015 to November 2022 are presented. Samples from 655 suspected cases were tested by both molecular and serological assays. Virus and antibody kinetics, cross-reactivity, and diagnostic performance of IgM ELISA systems were analysed. Of 524 cases tested for DENV, 146 were classified as confirmed, 7 as probable, while 371 were excluded. Of 619 cases tested for ZIKV, 44 were classified as confirmed, while 492 were excluded. All cases were imported. Overall, 75.3% (110/146) of DENV and 50% (22/44) of ZIKV cases were confirmed through direct virus detection methods. High percentages of cross reactivity were observed between the two viruses. The median lag time from symptoms onset to sample collection was 7 days for both DENV molecular (range 0-20) and NS1 ELISA (range 0-48) tests, with high percentages of positivity also after 7 days (39% and 67%, respectively). For ZIKV, the median lag time was 5 days (range 0-22), with 16% positivity after 7 days. Diagnostic performance was assessed with negative predictive values ranging from 92% to 95% for the anti-DENV systems, and of 97% for the ZIKV one. Lower positive predictive values were seen in the tested population (DENV: 55% to 91%, ZIKV: 50%). DENV and ZIKV diagnosis by molecular test is the gold standard, but sample collection time is a limitation. Serological tests, including Plaque Reduction Neutralization Test, are thus necessary. Co-circulation and cross-reactivity between the two viruses increase diagnostic difficulty. Continuous evaluation of diagnostic strategies is essential to improve laboratory testing.</description><subject>Aedes</subject><subject>Animals</subject><subject>Antibodies</subject><subject>arboviral infections</subject><subject>arbovirus diagnostics</subject><subject>Asymptomatic</subject><subject>Cerebrospinal fluid</subject><subject>Cross-reactivity</subject><subject>Demographic aspects</subject><subject>Dengue</subject><subject>Dengue - diagnosis</subject><subject>Dengue - epidemiology</subject><subject>Dengue fever</subject><subject>Dengue virus</subject><subject>DENV</subject><subject>Diagnosis</subject><subject>Disease</subject><subject>Distribution</subject><subject>Encephalitis</subject><subject>Enzyme-linked immunosorbent assay</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Genomes</subject><subject>Humans</subject><subject>Immunoglobulin M</subject><subject>Infections</subject><subject>Italy - epidemiology</subject><subject>Laboratories</subject><subject>Mortality</subject><subject>Mosquito Vectors</subject><subject>Serological tests</subject><subject>Serology</subject><subject>Surveillance</subject><subject>Vector-borne diseases</subject><subject>Viruses</subject><subject>Zika Virus</subject><subject>Zika Virus Infection - 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In Italy, the presence of the competent vector
increases the risk of autochthonous transmission, and a national plan for arboviruses prevention, surveillance, and response (PNA 2020-2025) is in place. The results of laboratory diagnosis of both viruses by the National Reference Laboratory for arboviruses (NRLA) from November 2015 to November 2022 are presented. Samples from 655 suspected cases were tested by both molecular and serological assays. Virus and antibody kinetics, cross-reactivity, and diagnostic performance of IgM ELISA systems were analysed. Of 524 cases tested for DENV, 146 were classified as confirmed, 7 as probable, while 371 were excluded. Of 619 cases tested for ZIKV, 44 were classified as confirmed, while 492 were excluded. All cases were imported. Overall, 75.3% (110/146) of DENV and 50% (22/44) of ZIKV cases were confirmed through direct virus detection methods. High percentages of cross reactivity were observed between the two viruses. The median lag time from symptoms onset to sample collection was 7 days for both DENV molecular (range 0-20) and NS1 ELISA (range 0-48) tests, with high percentages of positivity also after 7 days (39% and 67%, respectively). For ZIKV, the median lag time was 5 days (range 0-22), with 16% positivity after 7 days. Diagnostic performance was assessed with negative predictive values ranging from 92% to 95% for the anti-DENV systems, and of 97% for the ZIKV one. Lower positive predictive values were seen in the tested population (DENV: 55% to 91%, ZIKV: 50%). DENV and ZIKV diagnosis by molecular test is the gold standard, but sample collection time is a limitation. Serological tests, including Plaque Reduction Neutralization Test, are thus necessary. Co-circulation and cross-reactivity between the two viruses increase diagnostic difficulty. Continuous evaluation of diagnostic strategies is essential to improve laboratory testing.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38257751</pmid><doi>10.3390/v16010050</doi><orcidid>https://orcid.org/0000-0002-0805-2927</orcidid><orcidid>https://orcid.org/0000-0002-9078-8350</orcidid><orcidid>https://orcid.org/0000-0001-8878-4505</orcidid><orcidid>https://orcid.org/0000-0002-1582-6329</orcidid><orcidid>https://orcid.org/0000-0002-6615-4227</orcidid><orcidid>https://orcid.org/0000-0001-7366-9870</orcidid><orcidid>https://orcid.org/0000-0002-7217-0485</orcidid><oa>free_for_read</oa></addata></record> |
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source | Publicly Available Content Database; PubMed Central |
subjects | Aedes Animals Antibodies arboviral infections arbovirus diagnostics Asymptomatic Cerebrospinal fluid Cross-reactivity Demographic aspects Dengue Dengue - diagnosis Dengue - epidemiology Dengue fever Dengue virus DENV Diagnosis Disease Distribution Encephalitis Enzyme-linked immunosorbent assay Epidemics Epidemiology Genomes Humans Immunoglobulin M Infections Italy - epidemiology Laboratories Mortality Mosquito Vectors Serological tests Serology Surveillance Vector-borne diseases Viruses Zika Virus Zika Virus Infection - diagnosis ZIKV |
title | Diagnosis of Imported Dengue and Zika Virus Infections in Italy from November 2015 to November 2022: Laboratory Surveillance Data from a National Reference Laboratory |
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