| Literature DB >> 33933115 |
Natalie C Marshall1,2, Ruwandi M Kariyawasam3,4, Nathan Zelyas3,4, Jamil N Kanji3,4,5, Mathew A Diggle3,4.
Abstract
BACKGROUND: SARS-CoV-2 infection can present with a broad clinical differential that includes many other respiratory viruses; therefore, accurate tests are crucial to distinguish true COVID-19 cases from pathogens that do not require urgent public health interventions. Co-circulation of other respiratory viruses is largely unknown during the COVID-19 pandemic but would inform strategies to rapidly and accurately test patients with respiratory symptoms.Entities:
Keywords: COVID-19; Coronavirus 229E, human; Coronavirus NL63, human; Coronavirus OC43, human; Diagnostic stewardship; Endemic coronaviruses; Multiplex testing; Respiratory viruses; SARS-CoV-2
Mesh:
Year: 2021 PMID: 33933115 PMCID: PMC8087885 DOI: 10.1186/s12985-021-01545-9
Source DB: PubMed Journal: Virol J ISSN: 1743-422X Impact factor: 4.099
Fig. 1Respiratory specimen collection and testing following the first routinely reported COVID-19 case in Alberta, Canada. a Respiratory specimens collected for SARS-CoV-2 testing in Alberta and corresponding testing criteria. b Respiratory specimens tested between March 7–May 28, 2020. NAT nucleic acid test, RPP Respiratory Pathogen Panel, LDT Laboratory-developed test
Prevalence of RPP target respiratory pathogens among SARS-CoV-2-positive and -negative specimens
| RPP targets detected | SARS-CoV-2 detected | SARS-CoV-2 not detected | ||
|---|---|---|---|---|
| % | # | % | # | |
| 0 | 96.6 | 1102 | 88.7 | 45,359 |
| 1 | 3.3 | 38 | 10.6 | 5408 |
| 2 | 0.1 | 1 | 0.7 | 340 |
| 3 | - | 0 | < 0.1 | 17 |
| 4 | - | 0 | < 0.1 | 5 |
RPP Respiratory Pathogen Panel, NAT nucleic acid test. Fifteen specimens are not shown: 13 where patient demographics could not be verified, one due to an error in both the SARS-CoV-2 NAT and the RPP, and one where the SARS-CoV-2 test internal control failed. Of these 15, 14 were negative for all RPP targets, and one resulted in an error for both the RPP and SARS-CoV-2 tests
Prevalence of RPP target pathogens among SARS-CoV-2-positive and -negative specimens
| The RPP target detected | Specimens with SARS-CoV-2 detected | Specimens with SARS-CoV-2 not detected | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Overall | ≥ 1 RPP target also detected | Overall | 1 RPP target detected | ≥ 2 RPP target detected | ||||||
| # | # | # | # | # | ||||||
| 229E | 0 | 0 | 98 | 89 | 9 | |||||
| NL63 | 2 | 2 | 565 | 488 | 71 | |||||
| OC43 | 0 | 0 | 140 | 128 | 10 | |||||
| HKU1 | 0 | 0 | 136 | 119 | 17 | |||||
| A | 1 | 1 | 555 | 502 | 44 | |||||
| B | 0 | 0 | 236 | 207 | 27 | |||||
| A | 0 | 0 | 379 | 319 | 58 | |||||
| B | 0 | 0 | 59 | 55 | 4 | |||||
| 1 | 0 | 0 | 45 | 33 | 10 | |||||
| 2 | 1 | 1 | 43 | 33 | 10 | |||||
| 3 | 0 | 0 | 56 | 49 | 6 | |||||
| 4 | 0 | 0 | 89 | 62 | 26 | |||||
| 26 | 26 | 2 201 | 1 925 | 235 | ||||||
| 1 | 1 | 820 | 725 | 87 | ||||||
| 8 | 8 | 441 | 324 | 106 | ||||||
| 1 | 1 | 296 | 264 | 31 | ||||||
Bold to just highlight all of the data in the percentage columns (every other column)
RPP Respiratory Pathogen Panel
Demographic data of patients with RPP tests between March 7–May 28 from 2018, 2019, and 2020
| Year | RPP tests | Sex, male | Age, years | eCoV detected, % (#) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Median (range) | < 5 | > 60 | 299E | NL63 | OC43 | HKU1 | Multiple | |||
| 2018 | 7197 | 50.5% | 45.0 (0–103) | 25.8% | 35.1% | 0.5% (34) | 2.6% (185) | 0.8% (60) | 0.2% (12) | < 0.1% (1) |
| 2019 | 8520 | 49.5% | 50.0 (0–106) | 20.8% | 39.9% | 2.0% (172) | 1.3% (112) | 1.1% (92) | 0.1% (7) | < 0.1% (4) |
| 2020 | 53,661 | 47.0% | 57.0 (0–111) | 5.1% | 46.0% | 0.2% (99) | 1.1% (578) | 0.3% (145) | 0.3% (136) | < 0.1% (6) |
| Significance | ****a | ****b | ****c | ****c | ||||||
RPP respiratory pathogen panel
****p < 0.0001
aFisher’s exact test
bKruskal–Wallis test
cChi-square test for trend
Fig. 2Trends in respiratory testing and positivity from 2018–2020 across Alberta. a A seven-day moving average of RPP testing and eCoV positivity from respiratory specimens collected between Jan 1–Jun 6 of each year. b Violin plot of patient age for all RPP specimens collected between Jan 1–Jun 6 of each year. Specimens were excluded if age was unknown. c Patient category at the time of RPP test collection over the study period (Mar 7–May 28, 2020). ‘Other’ locations included correctional facilities, armed forces, and Medical Examiner specimens. d A seven-day moving average of respiratory specimens tested by both RPP and SARS-CoV-2 assays in the study period (Mar 7–May 28, 2020) and respective positivity. ***p < 0.001. ****p < 0.0001. White circle, median. Whiskers, range within 1.5 × interquartile range. Dark grey box, 25th–75th percentile. LTC long-term care
Fig. 3Prevalence of different eCoVs among respiratory specimens in the study period. a Predominance of each eCoV in each year 2018–2020. b Prevalence of each eCoV over each January–June (2018–2020), number and percent of all RPPs done. eCoV endemic coronavirus, RPP Respiratory Pathogen Panel