# Etiological Profile of Hospitalized Severe Acute Respiratory Infection (SARI) Patients During the COVID-19 Pandemic: A Cross-Sectional Study

**Authors:** Anjali Zoting, Swati Bhise, Priyanka Mategadikar, Pravin Deshmukh, Sunanda Shrikhande

PMC · DOI: 10.7759/cureus.80889 · Cureus · 2025-03-20

## TL;DR

This study analyzed the causes of severe respiratory infections in hospitalized patients during the pandemic, finding that SARS-CoV-2 was the most common cause.

## Contribution

The study provides updated insights into the etiology of SARI during the pandemic using molecular diagnostic methods.

## Key findings

- SARS-CoV-2 was the most common pathogen detected in 48.94% of cases.
- Influenza A(H1N1)pdm09 was the second most common at 34.89%.
- Molecular methods improved detection and understanding of respiratory pathogen epidemiology.

## Abstract

Background

Lower respiratory infections remain one of the top global causes of death. The application of molecular diagnostic methods (e.g., reverse transcription-polymerase chain reaction {RT-PCR} panels) for the diagnosis of lower respiratory tract infections (LRTIs) improves the understanding of respiratory pathogen epidemiology of these diseases and helps in the early detection of causative agents and formulating infection control measures and management.

Methods

In this study, consecutive nasopharyngeal/oropharyngeal swab, sputum, tracheal aspirate, and bronchoalveolar lavage (BAL) samples collected from patients having respiratory symptoms were tested using RT-PCR.

Results

Out of 372 samples, respiratory pathogens were detected in 245 (65.86%) cases. The total number of viral isolates detected in this study was 235, including the viral co-infections and viral and bacterial mixed infections, out of which SARS-CoV-2 was most common (115, 48.94%), followed by influenza A(H1N1)pdm09 (82, 34.89%), rhinovirus (17, 7.23%), adenovirus (nine, 3.83%), influenza A (eight, 3.40%), and influenza B (four, 1.70%).

Conclusion

The rapid detection of respiratory pathogens through molecular methods can help with targeted antiviral treatment, limit the use of antibiotics, and help in knowing the burden of the disease.

## Linked entities

- **Diseases:** SARS-CoV-2 (MONDO:0100096)

## Full-text entities

- **Diseases:** death (MESH:D003643), LRTIs (MESH:D012141), infection (MESH:D007239), respiratory (MESH:D012131), SARI (MESH:D045169), bacterial mixed infections (MESH:D001424), COVID-19 (MESH:D000086382), viral (MESH:D014777), influenza B (MESH:D007251)
- **Species:** Enterovirus (genus) [taxon 12059], Adenoviridae (family) [taxon 10508], Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12009103/full.md

## References

29 references — full list in the complete paper: https://tomesphere.com/paper/PMC12009103/full.md

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Source: https://tomesphere.com/paper/PMC12009103