Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections: Risk prediction models to tackle antimicrobial resistance in primary care
2024

Impact of COVID-19 on Hospital Admissions for Common Infections

Sample size: 12745165 publication 10 minutes Evidence: high

Author Information

Author(s): Fahmi Ali, Palin Victoria, Zhong Xiaomin, Yang Ya-Ting, Watts Simon, Ashcroft Darren M., Goldacre Ben, MacKenna Brian, Fisher Louis, Massey Jon, Mehrkar Amir, Bacon Seb, the OpenSAFELY Collaborative, Hand Kieran, van Staa Tjeerd Pieter

Primary Institution: University of Manchester

Hypothesis

How did the COVID-19 pandemic affect hospital admissions related to common infections and antibiotic prescribing?

Conclusion

The study found that antibiotics were more effective in preventing complications from lower respiratory tract infections and urinary tract infections compared to upper respiratory tract infections.

Supporting Evidence

  • Antibiotics were found to be more effective in preventing complications from LRTI and UTI.
  • Hospital admissions for infections dropped significantly during the COVID-19 pandemic.
  • Risk prediction models indicated that age and comorbidities were significant predictors of hospital admissions.

Takeaway

This study looked at how COVID-19 changed the way doctors treated common infections and found that giving antibiotics helped prevent serious problems for some infections.

Methodology

The study used electronic health records to analyze hospital admissions for common infections from January 2019 to August 2022, excluding patients with COVID-19 diagnoses.

Potential Biases

Potential bias due to the exclusion of patients with COVID-19 and reliance on electronic health records.

Limitations

The study did not include children and relied on electronic health records, which may not capture all relevant clinical details.

Participant Demographics

The study focused on adult patients with common infections, including lower respiratory tract infections, upper respiratory tract infections, and urinary tract infections.

Statistical Information

Confidence Interval

0.35–0.36 for LRTI, 0.44–0.46 for UTI, 1.03–1.06 for URTI

Digital Object Identifier (DOI)

10.1371/journal.pone.0311515

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