| Literature DB >> 34591239 |
Sheila F O'Brien1,2, Antoine Lewin3,4, Qi-Long Yi5,6, Graeme Dowling7,8, Etienne Fissette9, Steven J Drews10,11.
Abstract
In late 2019 the respiratory illness, Corona Virus Disease-19 caused by the SARS-CoV-2 virus emerged in China and quickly spread to other countries. The primary mode of transmission is person-to-person via respiratory droplets. SARS-CoV-2 has been identified in conjunctiva. Transmission by cornea transplant has not been reported but is theoretically possible. We aimed to estimate the possible risk of transmission in Canada via cornea transplant during the first wave of the pandemic, and the potential risk reduction from testing decedents. We constructed a deterministic model in which the risk of transmission was estimated as the product of three proportions: decedents with SARS-CoV-2 infection, corneas that are NAT positive, and NAT positive corneas presumed to transmit. Risk was estimated according to 3 scenarios: most likely, optimistic and pessimistic. At the peak of the first wave of the pandemic risk was estimated to be 1 in 63,031 cornea transplants in Canada but could be as low as 1 in 175,821 or as high as 1 in 10,129. It would take 16 years at the peak infection of the first wave of the pandemic to observe 1 transmission. Testing would reduce the risk of 1 in 63,031 to 1 in 210,104 assuming 70% test sensitivity. The theoretical risk of SARS-CoV-2 transmission by cornea transplant is extremely low and decedent testing is unlikely to be beneficial.Entities:
Keywords: COVID-19; Canada; Cornea transplant; Risk; SARS-CoV-2
Mesh:
Year: 2021 PMID: 34591239 PMCID: PMC8481755 DOI: 10.1007/s10561-021-09964-2
Source DB: PubMed Journal: Cell Tissue Bank ISSN: 1389-9333 Impact factor: 1.752
Parameters for most likely scenario
| Parameter | Approach | Parameter value | Data sources |
|---|---|---|---|
| Prevalence of active COVID-19 infection | ([N unresolved infectionsA/popB] × 4C) + [N unresolved infections/pop] × 2.3/14 days (presymptomatic period)D | Varies by date and region | A: Public Health Agency of Canada ( B: Statistics Canada ( C: Tuite et al ( D: He et al ( |
| Probability of virus present in the tissue if donor is infected | Incidence of conjunctival congestion in COVID-19 positive patients | 1.95% (CI 0.74–4.1) | Sarma et al ( |
| Probability of transmission | 50% | Assumption | |
| Sensitivity of nasopharyngeal swab testing | NAT vs CT, 1-sensitivity | 30% | Fang et al ( |
Parameters for optimistic and pessimistic scenarios
| Prevalence of active infections | Assumed to be 3 times the reported cases, rather than 4 for most likely scenario |
| Probability of virus in tissue if infected | 0.74% (lower end of confidence interval) |
| Probability of transmission | 50% |
Fig. 1Risk of cornea transplant transmission in Canada according to three scenarios, from March 18 to July 22, 2020
Risk of SARS-CoV-2 transmission by cornea transplantation by province at their respective peak week in number of COVID-19 cases between March and June 2020
| Province | Transmission risk | ||
|---|---|---|---|
| Most likely scenario | Optimistic scenario | Pessimistic scenario | |
| British Columbia | 1 in 414,988 | 1 in 1,157,578 | 1 in 66,685 |
| Alberta | 1 in 82,216 | 1 in 229,334 | 1 in 13,211 |
| Saskatchewan | 1 in 227,043 | 1 in 633,319 | 1 in 36,484 |
| Manitoba | 1 in 327,331 | 1 in 913,064 | 1 in 52,599 |
| Ontario | 1 in 94,671 | 1 in 264,078 | 1 in 15,213 |
| Quebec | 1 in 16,490 | 1 in 45,998 | 1 in 2,650 |
| Newfoundland and Labrador | 1 in 119,971 | 1 in 334,651 | 1 in 19,279 |
| New Brunswick | 1 in 388,115 | 1 in 1,082,618 | 1 in 62,367 |
| Nova Scotia | 1 in 94,527 | 1 in 263,677 | 1 in 15,190 |
| Prince Edward Island | 1 in 354,139 | 1 in 987,844 | 1 in 56,908 |
| Canada | 1 in 63,031 | 1 in 175,821 | 1 in 10,129 |
Risk of SARS-CoV-2 transmission by cornea transplantation in Canada at the peak week in number of cases between March and June 2020 according to three scenarios, and expected impact of donor testing with test sensitivities of 50%, 70%, and 90%
| Testing strategy and sensitivity | Transmission risk | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Assuming 50% of NAT-positive donors transmit infection | Assuming 25% of NAT-positive donors transmit infection | Assuming 10% of NAT-positive donors transmit infection | |||||||
| Most likely scenario | Optimistic scenario | Pessimistic scenario | Most likely scenario | Optimistic scenario | Pessimistic scenario | Most likely scenario | Optimistic scenario | Pessimistic scenario | |
| Without testing | 1 in 63,031 | 1 in 175,821 | 1 in 10,129 | 1 in 126,062 | 1 in 351,641 | 1 in 20,257 | 1 in 315,156 | 1 in 879,103 | 1 in 50,643 |
| With testing | |||||||||
| 50% sensitivity | 1 in 126,062 | 1 in 351,641 | 1 in 20,257 | 1 in 252,125 | 1 in 703,282 | 1 in 40,515 | 1 in 630,311 | 1 in 1,758,205 | 1 in 101,286 |
| 70% sensitivity | 1 in 210,104 | 1 in 586,068 | 1 in 33,762 | 1 in 420,208 | 1 in 1,172,137 | 1 in 67,524 | 1 in 1,050,519 | 1 in 2,930,342 | 1 in 168,810 |
| 80% sensitivity | 1 in 315,156 | 1 in 879,103 | 1 in 50,643 | 1 in 630,311 | 1 in 1,758,205 | 1 in 101,286 | 1 in 1,575,778 | 1 in 4,395,513 | 1 in 253,216 |
Sensitivity analysis of potential non-independence: Risk of SARS-CoV-2 transmission by cornea transplantation in Canada at the peak week in number of cases between March and June 2020 and expected impact of donor testing with test sensitivities of 50%, 70%, and 90%
| Testing strategy and sensitivity | Assuming 50% of NAT-positive donors transmit infection Transmission risk | ||||||
|---|---|---|---|---|---|---|---|
| Most likely scenario | Potential negative correlationa | Potential positive correlationa | |||||
| − 10% | − 15% | − 20% | + 10% | + 15% | + 20% | ||
| Without Testing | 1 in 63,031 | 1 in 70,035 | 1 in 74,154 | 1 in 78,789 | 1 in 57,301 | 1 in 54,810 | 1 in 52,526 |
| With testing | |||||||
| 50% sensitivity | 1 in 126,062 | 1 in 140,069 | 1 in 148,309 | 1 in 157,578 | 1 in 114,602 | 1 in 109,619 | 1 in 105,052 |
| 70% sensitivity | 1 in 210,104 | 1 in 233,449 | 1 in 247,181 | 1 in 262,630 | 1 in 191,003 | 1 in 182,699 | 1 in 175,086 |
| 80% sensitivity | 1 in 315,156 | 1 in 350,173 | 1 in 370,771 | 1 in 393,945 | 1 in 286,505 | 1 in 274,048 | 1 in 262,630 |
aCorrelation between three risk component terms: PUnidentified, PNAT pos and PTr