Chronic Neurocognitive, Neuropsychological, and Pulmonary Symptoms in Outpatient and Inpatient Cohorts After COVID-19 Infection
Bibliographic record
Abstract
Neuropsychological symptoms associated with post-COVID-19 conditions may prevent patients from resuming normal activities at home or work. We report a retrospective, cross-sectional evaluation of neuropsychological and cardiopulmonary outcomes in 2 groups of patients: outpatients with mild enough infection to be spared from hospitalization and those who required inpatient admission. We hypothesized a dose-response model of post-COVID symptom severity in which persistent consequences would be more severe in those who experienced worse acute infections. In a dedicated COVID clinic, 321 patients were seen (33% outpatient, 67% inpatient). Outpatients skewed female, White, non-Hispanic, and younger. Outpatients had worse insomnia (measured with insomnia severity index) and were less able to resume their usual activities (EQ-5D-5L usual activities scale), despite inpatients experiencing worse cognition (Montreal Cognitive Assessment), having greater obesity (body mass index), decreased exercise tolerance (6-minute-walk distance), and more exertional oxygen desaturation. In both groups, insomnia worsened while cognition improved significantly with time from infection to testing while controlling for patient age; other variables did not. In logistic regression, female sex, higher MoCA score, EQ-5D-5L "usual activities" subscore, less oxygen desaturation with exertion, and longer time from infection remained as significant associations with outpatient status. Our study demonstrated that the functional sequelae of post-COVID-19 conditions in patients with mild acute disease have the potential to be as severe as that in patients who have recovered from severe illness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".