Diagnostic Testing for Severe Acute Respiratory Syndrome–Related Coronavirus 2: A Narrative ReviewFREE
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Abstract
Key Summary Points
Methods
The Role of Diagnostic Testing in the SARS-CoV-2 Pandemic
Diagnostic Testing: Defining Key Use Cases

Who to Test: Current Diagnostic Recommendations in the United States
How to Test: Diagnostic Tests in Use or Under Evaluation

Laboratory-Based Molecular Testing

Point-of-Care Molecular Diagnostics
Antigen Detection Tests
Serology
Ancillary Diagnostic Tests
Radiographic Tests
Biomarkers Associated With COVID-19 Patients
Unmet Needs and the Diagnostic Test Pipeline
Scaling Up Access to Diagnostic Testing
Alternatives to Usual Specimen Types, Collection Devices, and Transport Media
Diagnostics Pipeline in the Short and Medium Term
Other Considerations
Conclusion
References
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Diagnostic Testing for Severe Acute Respiratory Syndrome–Related Coronavirus 2: A Narrative Review. Ann Intern Med.2020;172:726-734. [Epub 13 April 2020]. doi:10.7326/M20-1301
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Influenza-Like Illness Data Reporting and Timing of the COVID-19 Pandemic
Although COVID-19 testing results were not available in the United States prior to January, examining data of medical visits for ILIs may be revealing as cases not found to be documented influenza could potentially represent undiagnosed COVID-19. According to the CDC influenza surveillance report, national outpatient visits for ILIs were the highest from week 41 of 2019 through week 2 of 2020 compared to any season after 2009-2010 (the H1N1 influenza season)2. In New York City, outpatient visits for ILIs from week 47 of 2019 to week 5 of 2020 have been the highest compared to the past 4 influenza seasons3. Making interpretation challenging is the 2019-2020 influenza season has been particularly severe nationally with a higher share of influenza tests returning positive in late 2019 compared to recent years4. In New York state, documented influenza case rates per 100,000 have been higher from week 40 of 2019 to week 6 of 2020 than the prior 4 seasons5. Hence it is difficult to know whether there has been a higher than expected proportion of ILIs not explained by documented influenza during late 2019 and early 2020.
To better understand the epidemiology of COVID-19, we need to expand our testing capabilities, including introducing widespread antibody testing. Ideally, however, we would also need to retrospectively test archived samples, if available, of patients for antibodies prior to January 2020. This would have important implications for understanding true burden of disease. It would also allow understanding of when the virus first started circulating in the United States and when the pandemic truly began.
References
1. Cheng MP, Papenburg J, Desjardins M et al. Diagnostic Testing for Severe Acute Respiratory Syndrome-Related Coronavirus-2: A Narrative Review. Ann Intern Med. 2020 Apr 13. doi: 10.7326/M20-1301. [Epub ahead of print]
2. Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Disease (NCIRD). Weekly Influenza Surveillance Report. Last updated April 10, 2020. Accessed April 13, 2020. Available at: https://www.cdc.gov/flu/weekly/index.htm.
3. New York City Department of Health and Mental Hygiene. Influenza Surveillance Report. Last updated April 4, 2020. Accessed April 13 2020. Available at: https://www1.nyc.gov/assets/doh/downloads/pdf/hcp/weekly-surveillance04042020.pdf
4. Buchholz K. (2020) U.S. Experiences Worst Flu Season in Years. Statista. 14 Feb. Available at: https://www.statista.com/chart/20704/us-flu-seasons-percent-of-samples-tested-positive/. (Accessed April 13, 2020).
5. New York State Department of Health. New York State Flu Tracker 2016-2020. Accessed April 13, 2020. Available at: https://nyshc.health.ny.gov/web/nyapd/new-york-state-flu-tracker.
Pre-Test Probability of COVID-19 Infection
Our inpatient infectious diseases (ID) team developed an ad hoc score (named MAPS after the team members) based on the pre-test probability of patients undergoing testing for COVID-19. The team consisted of a senior ID attending, an ID fellow, an internal medicine resident, and an ID pharmacy resident (when the pharmacy resident was unavailable, he was replaced by a junior ID attending). The ID team was consulted for all hospitalized patients suspected for COVID-19 infection. After approving the test (and prior to receiving the results) the patient’s history, initial laboratory test, and imaging results were reviewed. Each member would vote on whether they thought the patient’s COVID-19 test would return positive (1 point each) or negative, thus creating a scoring system from 0 to 4, with 4 being the highest probability.
The scoring system was applied to 20 consecutive patients between March 31 and April 3, 2020 whose nasal pharyngeal specimens were tested by RT-PCR either by RealTime SARS-CoV-2 Assay (Abbott) or Xpert® Xpress SARS-CoV-2 test (Cepheid). Of these 20 patients, 10 had positive tests, initially. A MAPS score of 3-4 was considered a high likelihood of a COVID-19 diagnosis and a MAPS score of 0-2 as a low likelihood of a COVID-19 diagnosis. Two patients with negative tests had a MAPS scores of 3 and 4, respectively. An additional nasopharyngeal (NP) specimen for was sent for both patients, one of which returned positive (MAPS score was 4). Using our ad hoc scoring system, we predicted a positive test in 9 of 11 cases and a negative test result in 8 of 9 patients. This scoring system was meant to record the team’s initial clinical impression and was not based on specific criteria. A more refined scoring system might be more useful and generalizable.
Symptomatic COVID-19 presents with a recognizable clinical syndrome that is predictable prior to testing. Clinical judgement remains important, particularly when interpreting negative test results.
References:
1. Cheng MP, Papenburg J, Desjardins M, Kanjilal S, Quach C, Libman M, et al. Diagnostic Testing for Severe Acute Respiratory Syndrome–Related Coronavirus-2: A Narrative Review. Ann Intern Med [Internet]. 2020 Apr 13; Available from: https://doi.org/10.7326/M20-1301
2. Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis [Internet]. 2020;3099(20):19–20. Available from: http://dx.doi.org/10.1016/S1473-3099(20)30120-1
3. Bialek S, Boundy E, Bowen V, Chow N, Cohn A, Dowling N, et al. Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) — United States, February 12–March 16, 2020. MMWR Morb Mortal Wkly Rep. 2020;
Advantages and Limitations of real time Reverse Transcription Polymerase Chain Reaction