Long COVID update: respiratory sequelae and symptoms
Bibliographic record
Abstract
PURPOSE OF REVIEW: Long COVID affects approximately 6% of the population after SARS-CoV-2 infection commonly involving persistent respiratory symptoms such as breathlessness and cough. This review provides an update on the latest evidence regarding post-COVID condition/Long COVID and respiratory sequelae, focusing on persistent symptoms, respiratory complications, and therapeutic approaches to date. RECENT FINDINGS: Post-COVID interstitial lung abnormalities are estimated to persist in approximately 11% of patients hospitalized with acute COVID-19. However, breathlessness is common in adults (non-hospitalized) with Long COVID, suggesting aetiologies beyond pneumonitis. The risk of venous thromboembolic disease in Long COVID remains uncertain and trial results of anti-coagulation in Long COVID are awaited. SUMMARY: Long COVID presents complex respiratory challenges, and careful assessment is crucial to differentiate Long COVID symptoms from exacerbations of pre-existing respiratory conditions. Current management includes a symptom-based multidisciplinary approach, with ongoing research into effective treatments including immune modulating agents.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".