Post-COVID onset of psychiatric complications and associated COVID-related symptom impairment and organ system complications over 24 months
Bibliographic record
Abstract
INTRODUCTION: Neurological and psychiatric sequelae are among the long-term effects of COVID. The aim of this study was to investigate the change in post-COVID psychiatric complaints and associated clinical and sociodemographic factors over a 24-month period. METHODS: This study draws on data from the "BioBanque Québécoise de la Covid-19″ longitudinal cohort. The study sample consists of adults aged ≥18 years with a positive SARS-CoV-2 test, no history of psychiatric illness, with at least one follow-up visit. The presence of post-COVID psychiatric complications (yes, no) was assessed at follow-up (1-month, 3-month, 6-month, 12-month, 18-month and 24-month, post baseline), as was the presence of COVID-related symptoms and other post-COVID complications. RESULTS: The prevalence of new onset post-COVID psychiatric complications ranged between 2.1 % and 8.5 % during the 24-month follow-up. As compared to the 1-month follow-up, there was an increase, between nearly two and four times, in the likelihood of psychiatric complications at the 3-month, 6-month, 12-month,18-month and 24-month follow-up. COVID-related symptoms such as impaired sensory function and pain, and impaired body system function, and post-COVID cardiovascular, respiratory, neurological, and other complications predicted post-COVID psychiatric complaints. Among individuals followed at 24-months, admission to hospital or emergency department, and frailty were also associated with the presence of a post-COVID psychiatric complication. CONCLUSION: Post-COVID psychiatric complications persist up to 24 months after infection and are associated with impairment related to COVID symptoms and multiple organ system complications, highlighting the substantial long-term health burden for individuals.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".