The Demographic and Clinical Characteristics of the Co-infection for the Detection of SARSCOV- 2 and Influenza A Virus by rRT-PCR

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Kalpesh Khutade
Harshada Shah
Samiksha Patil
Hiren Patel

Abstract

The potential for co-infection with COVID-19 and other respiratory infections raises the possibility that a new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mimics the influenza A virus regarding methods and modes of transmission, clinical features, related immune responses, and seasonal coincidence. This study aimed to investigate the presence of SARS-CoV-2 and influenza A virus coinfections in
admitted patients of a tertiary care hospital. In this study, the total included 589 admitted patients in our tertiary care hospital. The detection
of co-infection between SARS-CoV-2 and influenza A virus by real-time reverse-transcriptase polymerase chain reaction (rRT-PCR) in a patient
during the second wave of the COVID-19 pandemic. There were 207 (35.1%) patients infected with SARS-CoV-2 and 43 (7.3%) patients
infected with the influenza A virus. Only 6 (1.0%) patients were infected with SARS-CoV-2 and influenza A viruses. The females were more
likely to be infected with SARS-CoV-2 than non-infected SARS-CoV-2 case-patients (60.9% (n = 126) vs. 31.4% (n = 120), and also with the
influenza A virus compared with influenza-negative patients (40.9% (n = 223) vs. 55.9% (n = 24). In conclusion, our results strongly suggest
that influenza A co-infects with SARS-CoV-2. The patients with SARS-CoV-2 and influenza A co-infection had similar clinical characteristics as
those with SARS-CoV-2 infection alone. Comorbidities, like hypertension and diabetes, and increasing age make patients more susceptible to
SARS-CoV-2 and influenza A coinfections.

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How to Cite
Khutade, K., Shah, H., Patil, S., & Patel, H. (2024). The Demographic and Clinical Characteristics of the Co-infection for the Detection of SARSCOV- 2 and Influenza A Virus by rRT-PCR. Journal of Advanced Scientific Research, 15(1), 9-13. https://doi.org/10.55218/JASR.2024150102
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Research Article