Using patient-collected clinical samples and sera to detect and quantify the severe acute respiratory syndrome coronavirus (SARS-CoV)
2007

Detecting SARS-CoV in Patient Samples

Sample size: 271 publication Evidence: moderate

Author Information

Author(s): He Zhongping, Zhuang Hui, Zhao Chunhui, Dong Qingming, Peng Guoai, Dwyer Dominic E

Primary Institution: Beijing Ditan Hospital

Hypothesis

Can patient-collected samples effectively detect and quantify SARS-CoV?

Conclusion

Patient self-collected samples are a viable alternative to traditional methods for confirming SARS-CoV infection.

Supporting Evidence

  • SARS-CoV detection rates were highest in the first 9 days of illness in sera.
  • Fecal samples showed high SARS-CoV RT-PCR rates and viral loads.
  • Self-collected samples may reduce risks to healthcare workers.

Takeaway

Doctors can use samples collected by patients themselves to check for a virus that causes a serious illness, which helps keep everyone safer.

Methodology

RT-PCR was used to detect SARS-CoV in sera, throat washes, and fecal samples collected from patients.

Potential Biases

Potential bias due to the study being conducted in a high-pressure outbreak environment.

Limitations

The study was conducted at a single institution, which may limit generalizability.

Participant Demographics

Mean age of participants was 36 years, with 33.9% being healthcare workers.

Digital Object Identifier (DOI)

10.1186/1743-422X-4-32

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication