| Literature DB >> 34221445 |
Kimberly Harmon1, Anabelle M de St Maurice2, Adam C Brady3, Sankar Swaminathan4, Doug F Aukerman5, Miguel A Rueda6, Kim Terrell7, Randall P Cohen8, Seth C Gamradt9, Sunday D Henry10, Lindsay M Huston11, David R McAllister12, Kenneth M McCarty13, Anthony N Pass14, Stephen R Paul15, David J Petron16, Stephanie A Kliethermes17.
Abstract
OBJECTIVE: To assess the diagnostic accuracy of antigen compared with reverse transcriptase (RT)-PCR testing in an asymptomatic athlete screening programme and to monitor infection in college athletes.Entities:
Keywords: COVID-19; athlete; infection
Year: 2021 PMID: 34221445 PMCID: PMC8214991 DOI: 10.1136/bmjsem-2021-001137
Source DB: PubMed Journal: BMJ Open Sport Exerc Med ISSN: 2055-7647
Figure 1Study flow chart. RT, reverse transcriptase.
Demographics and percent positivity of reverse transcriptase-PCR of study population
| Sport | Athletes | Positive PCR | Per cent athletes with positive PCR |
| Total | 1931 (100) | 346 (100) | 17.9% |
| Football | 1306 (67.6) | 258 (74.5) | 19.8% |
| Women’s basketball | 147 (7.6) | 16 (4.6) | 10.9% |
| Men’s basketball | 176 (9.1) | 32 (9.2) | 18.1% |
| Women’s water polo | 112 (5.8) | 6 (1.7) | 5.4% |
| Men’s water polo | 100 (5.2) | 13 (3.8) | 13.0% |
| Wrestling | 90 (4.7) | 21 (6.1) | 23.3% |
| Female | 260 (13.5) | 22 (6.4) | 8.5% |
| Male | 1671 (86.5) | 324 (93.6) | 19.4% |
Percent positivity of reverse transcriptase (RT)-PCR testing for different indications
| Reason for RT-PCR | Number of tests | Number positive | Percent positivity |
| Initial/re-entry screening | 1526 | 32 | 2.1% |
| Contact tracing | 502 | 24 | 4.8% |
| Symptomatic | 405 | 74 | 18.2% |
| Screening tests | 39 293 | 172 | 0.4% |
| Total | 42 187 | 346 | 0.8% |
Diagnostic accuracy of same-day antigen and reverse transcriptase (RT)-PCR testing based on the frequency of PCR testing.
| Number | True -positive antigen test | False-negative antigen test | False-positive antigen test | True-negative | Total | Sensitivity | Specificity | Positive predictive value | Negative predictive value |
| 1 | 15 | 27 | 19 | 10 871 | 10 932 | 35.7% | 99.83% (99.73% to 99.89%) | 44.1% (28.6% to 60.8%) | 99.75% (99.64% to 99.83%) |
| 2 | 2 | 12 | 5 | 3970 | 3989 | 14.3% (3.6% to 42.7%) | 99.87% (99.70% to 99.95%) | 28.6% (7.2% to 67.3%) | 99.70% (99.47% to 99.83%) |
| 3 | 2 | 13 | 4 | 3434 | 3453 | 13.3% (3.4% to 40.5%) | 99.88% (99.69% to 99.96%) | 33.4% (8.4% to 73.2%) | 99.62% (99.34% to 99.78%) |
| 4* | 0 | 4 | 0 | 1055 | 1059 | 0.0% | 100.00% | – | 99.62% (98.97% to 99.86%) |
| 5* | 0 | 4 | 1 | 1241 | 1246 | 0.0% | 99.92% | – | 99.62% (98.97% to 99.86%) |
| 6–7* | 0 | 4 | 1 | 2778 | 2783 | 0.0% | 99.96% | – | 99.62% (98.97% to 99.86%) |
| Total | 19 | 64 | 30 | 23 349 | 23 462 | 22.9% (15.1% to 33.%) | 9987% (99.81% to 99.91%) | 38.8% (26.1% to 53.1%) | 99.73% (99.65% to 99.79%) |
*Model-based estimates of sensitivity and specificity and corresponding 95% CIs could not be calculated due to no observed true-positives. Raw estimates are provided.