SARS-CoV-2 infection outcomes associated with the Delta variant: A prospective cohort study
Bibliographic record
Abstract
Background: It is well established that fully vaccinated (≥2 doses) individuals may develop COVID-19. However, little is known about the specific prevalence of post-COVID-19 conditions associated with the Delta variant or the effect of vaccination on post-acute outcomes of COVID-19. In addition, how Delta variant infection severity compares in fully vaccinated individuals versus in those unvaccinated is unknown. Methods: This prospective single-centre observational cohort study assessed adults with SARS-CoV-2 proven infection from August 1 to November 1, 2021. Study participants were enrolled in the Biobanque Québécoise de la COVID-19. Data on demographics, comorbidities, and severity of COVID-19 were collected. Simple and multiple logistic regressions were used to identify risk factors for post-COVID-19 conditions. Results: Among the 395 individuals who were interviewed by phone, 138 (39.4%) agreed to participate. Of the 138 participants, 62.8% were Delta-associated breakthrough infections that occurred in fully vaccinated individuals and 37.1% in unvaccinated individuals. The majority (93.5%) had a history of mild COVID-19 illness. The prevalence of Delta-variant-associated post-COVID-19 conditions was similar in both vaccinated (61.4%) and unvaccinated (51.4%) groups ( p = 0.347). The number of symptoms during acute infection was an independent risk factor for post-COVID-19 conditions. Conclusions: This study is the first to describe the incidence of Delta-associated post-COVID-19 condition. In this study, COVID-19 vaccination was not associated with decreased post-COVID-19 conditions in patients with breakthrough Delta infection. These findings have important implications for provincial services planning and underscore the need to develop alternative strategies to prevent post-COVID-19 conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".