Syndromic diagnosis of upper respiratory infections in patients presenting with a suspicion of COVID-19 in Madagascar: contribution of the Biofire Film Array respiratory panel 2.1

Acute respiratory infections (ARIs) are challenging to diagnose due to overlapping symptoms among pathogens. During the COVID-19 pandemic in Antananarivo (2020–2022), 19% of SARS-CoV-2-negative symptomatic patients tested positive for other respiratory viruses by RT-PCR. Automated multiplex assays such as FilmArray® Biofire RP2.1 (Biofire FA-RP2.1) enable simultaneous pathogen detection and improve ARIs surveillance. This study aimed to i) estimate the diagnostic gain in terms of etiology for a sequential strategy combining targeted RT-PCR followed by multiplex testing, (ii) evaluate the ability of Biofire FA-RP2.1 to identify non-SARS-CoV-2 respiratory agents, (iii) describe the discrepancies in SARS-CoV-2 detection between simplex RT-PCR and multiplex testing, (iv) explore the performance of symptom-based models for determining etiology. A total of 384 nasopharyngeal samples from symptomatic patients with suspected COVID-19 collected in Antananarivo (March 2021–August 2022) were tested by simplex RT-PCR for SARS-CoV-2 and the Biofire FA-RP2.1. Discordant SARS-CoV-2 results were investigated using targeted next-generation sequencing (tNGS). Statistical analyses included Fisher’s exact Student’s t-test, risk ratio estimation, logistic regression, and ROC analysis. RT-PCR and Biofire FA-RP2.1 detected 163 and 141 SARS-CoV-2–positive cases, respectively. Biofire FA-RP2.1 detected 192 mono-infections and 20 co-infections. The most frequent mono-infections were SARS-CoV-2 ( n = 129) and rhinovirus ( n = 48). Sixty-one SARS-CoV-2 detection discrepancies were identified: 39 (64%) were positive on RT-PCR but negative on Biofire FA-RP2.1, and 22 (36%) showed the opposite pattern. Discordance was associated with high Ct values (mean Ct 30.9 vs. 27.4; p = 0.003) and co-infections (RR = 2.1, 95% CI: 1.36–3.30). Among the 23 discordant samples tested by tNGS, 22 were confirmed positive for SARS-CoV-2. Arthralgia and cough were associated with SARS-CoV-2 positivity (OR = 3.22 and 1.77, respectively); dyspnea was associated with negative results. Symptom-based models showed moderate performance (AUC ≈ 0.72–0.74). Biofire FA-RP2.1 is a useful tool for ARIs surveillance despite a 16% discordance with simplex RT-PCR for SARS-CoV-2 detection, mainly observed in samples with higher Ct values or co-infection. tNGS provided complementary insights into these discrepancies. Clinical features were insufficient for etiological differentiation, highlighting the added value of multiplex approaches for syndromic surveillance of ARIs.

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Journal
BMC Infectious Diseases
Published
2026-08-28
DOI
https://doi.org/10.1186/s12879-026-14306-2
Primary Topic
Respiratory viral infections research
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article
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article

Syndromic diagnosis of upper respiratory infections in patients presenting with a suspicion of COVID-19 in Madagascar: contribution of the Biofire Film Array respiratory panel 2.1

Mihaja Raberahona, Luca Maharavo, Emilie Westeel, Florence Komurian-Pradel et al.
BMC Infectious Diseases
Respiratory viral infections research
article

Syndromic diagnosis of upper respiratory infections in patients presenting with a suspicion of COVID-19 in Madagascar: contribution of the Biofire Film Array respiratory panel 2.1

Mihaja Raberahona, Luca Maharavo, Emilie Westeel, Florence Komurian-Pradel, Luc Hervé Samison, Jean‐Luc Berland, Tahinamandranto Rasamoelina, Honintsoa Rasoanaivo
article en

Abstract

Acute respiratory infections (ARIs) are challenging to diagnose due to overlapping symptoms among pathogens. During the COVID-19 pandemic in Antananarivo (2020–2022), 19% of SARS-CoV-2-negative symptomatic patients tested positive for other respiratory viruses by RT-PCR. Automated multiplex assays such as FilmArray® Biofire RP2.1 (Biofire FA-RP2.1) enable simultaneous pathogen detection and improve ARIs surveillance. This study aimed to i) estimate the diagnostic gain in terms of etiology for a sequential strategy combining targeted RT-PCR followed by multiplex testing, (ii) evaluate the ability of Biofire FA-RP2.1 to identify non-SARS-CoV-2 respiratory agents, (iii) describe the discrepancies in SARS-CoV-2 detection between simplex RT-PCR and multiplex testing, (iv) explore the performance of symptom-based models for determining etiology. A total of 384 nasopharyngeal samples from symptomatic patients with suspected COVID-19 collected in Antananarivo (March 2021–August 2022) were tested by simplex RT-PCR for SARS-CoV-2 and the Biofire FA-RP2.1. Discordant SARS-CoV-2 results were investigated using targeted next-generation sequencing (tNGS). Statistical analyses included Fisher’s exact Student’s t-test, risk ratio estimation, logistic regression, and ROC analysis. RT-PCR and Biofire FA-RP2.1 detected 163 and 141 SARS-CoV-2–positive cases, respectively. Biofire FA-RP2.1 detected 192 mono-infections and 20 co-infections. The most frequent mono-infections were SARS-CoV-2 ( n = 129) and rhinovirus ( n = 48). Sixty-one SARS-CoV-2 detection discrepancies were identified: 39 (64%) were positive on RT-PCR but negative on Biofire FA-RP2.1, and 22 (36%) showed the opposite pattern. Discordance was associated with high Ct values (mean Ct 30.9 vs. 27.4; p = 0.003) and co-infections (RR = 2.1, 95% CI: 1.36–3.30). Among the 23 discordant samples tested by tNGS, 22 were confirmed positive for SARS-CoV-2. Arthralgia and cough were associated with SARS-CoV-2 positivity (OR = 3.22 and 1.77, respectively); dyspnea was associated with negative results. Symptom-based models showed moderate performance (AUC ≈ 0.72–0.74). Biofire FA-RP2.1 is a useful tool for ARIs surveillance despite a 16% discordance with simplex RT-PCR for SARS-CoV-2 detection, mainly observed in samples with higher Ct values or co-infection. tNGS provided complementary insights into these discrepancies. Clinical features were insufficient for etiological differentiation, highlighting the added value of multiplex approaches for syndromic surveillance of ARIs.

BMC Infectious Diseases
University of Antananarivo (MG), Fondation Mérieux (FR), Hôpital Saint Joseph (FR)
Zero hunger
Openalex Percentile: Top 10%
Respiratory viral infections research
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