Omicron, Long-COVID, and the Safety of Elective Surgery for Adults and Children: Joint Guidance from the Therapeutics and Guidelines Committee of the Surgical Infection Society and the Surgery Strategic Clinical Network, Alberta Health Services
Bibliographic record
Abstract
Background: Active and recent coronavirus disease 2019 (COVID-19) infections are associated with morbidity and mortality after surgery in adults. Current recommendations suggest delaying elective surgery in survivors for four to 12 weeks, depending on initial illness severity. Recently, the predominant causes of COVID-19 are the highly transmissible/less virulent Omicron variant/subvariants. Moreover, increased survivability of primary infections has engendered the long-COVID syndrome, with protean manifestations that may persist for months. Considering the more than 600,000,000 COVID-19 survivors, surgeons will likely be consulted by recovered patients seeking elective operations. Knowledge gaps of the aftermath of Omicron infections raise questions whether extant guidance for timing of surgery still applies to adults or should apply to the pediatric population. Methods: Scoping review of relevant English-language literature. Results: Most supporting data derive from early in the pandemic when the Alpha variant of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) predominated. The Omicron variant/subvariants generally cause milder infections with less organ dysfunction; many infections are asymptomatic, especially in children. Data are scant with respect to adult surgical outcomes after Omicron infection, and especially so for pediatric surgical outcomes at any stage of the pandemic. Conclusions: Numerous knowledge gaps persist with respect to the disease, the recovered pre-operative patient, the nature of the proposed procedure, and supporting data. For example, should the waiting period for all but urgent elective surgery be extended beyond 12 weeks, e.g., after serious/critical illness, or for patients with long-COVID and organ dysfunction? Conversely, can the waiting periods for asymptomatic patients or vaccinated patients be shortened? How shall children be risk-stratified, considering the distinctiveness of pediatric COVID-19 and the paucity of data? Forthcoming guidelines will hopefully answer these questions but may require ongoing modifications based on additional new data and the epidemiology of emerging strains.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.090 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".