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- Title
Performance Evaluation of VIDAS ® Diagnostic Assays Detecting Anti-Chikungunya Virus IgM and IgG Antibodies: An International Study.
- Authors
Pereira, Geovana M.; Manuli, Erika R.; Coulon, Laurie; Côrtes, Marina F.; Ramundo, Mariana S.; Dromenq, Loïc; Larue-Triolet, Audrey; Raymond, Frédérique; Tourneur, Carole; Lázari, Carolina dos Santos; Brasil, Patricia; Filippis, Ana Maria Bispo de; Paranhos-Baccalà, Glaucia; Banz, Alice; Sabino, Ester C.
- Abstract
Chikungunya (CHIK) is a debilitating mosquito-borne disease with an epidemiology and early clinical symptoms similar to those of other arboviruses-triggered diseases such as dengue or Zika. Accurate and rapid diagnosis of CHIK virus (CHIKV) infection is therefore challenging. This international study evaluated the performance of the automated VIDAS® anti-CHIKV IgM and IgG assays compared to that of manual competitor IgM and IgG ELISA for the detection of anti-CHIKV IgM and IgG antibodies in 660 patients with suspected CHIKV infection. Positive and negative agreements of the VIDAS® CHIKV assays with ELISA ranged from 97.5% to 100.0%. The sensitivity of the VIDAS® CHIKV assays evaluated in patients with a proven CHIKV infection confirmed reported kinetics of anti-CHIKV IgM and IgG response, with a positive detection of 88.2–100.0% for IgM ≥ 5 days post symptom onset and of 100.0% for IgG ≥ 11 days post symptom onset. Our study also demonstrated the superiority of ELISA and VIDAS® assays over rapid diagnostic IgM/IgG tests. The analytical performance of VIDAS® anti-CHIKV IgM and IgG assays was excellent, with a high precision (coefficients of variation ≤ 7.4%) and high specificity (cross-reactivity rate ≤ 2.9%). This study demonstrates the suitability of the automated VIDAS® anti-CHIKV IgM and IgG assays to diagnose CHIKV infections and supports its applicability for epidemiological surveillance and differential diagnosis in regions endemic for CHIKV.
- Subjects
IMMUNOGLOBULIN G; IMMUNOGLOBULINS; DENGUE hemorrhagic fever; ALPHAVIRUSES
- Publication
Diagnostics (2075-4418), 2023, Vol 13, Issue 13, p2306
- ISSN
2075-4418
- Publication type
Article
- DOI
10.3390/diagnostics13132306