Profiling cognitive impairment in Post COVID Syndrome
Bibliographic record
Abstract
BACKGROUND: Post-COVID Syndrome is characterized by symptoms persisting for over 12 weeks after acute infection, and may include fatigue, emotional issues, and cognitive impairments. This study aims to investigate the cognitive impacts and identify predisposing factors in individuals affected by this syndrome. METHOD: We analyzed 46 patients who survived severe COVID-19 and were admitted at Hospital São Lucas da PUCRS, Brazil, between January and March 2021. Those were evaluated 2 years and 7 months after the infection. Data collection included questionnaires assessing sociodemographic factors, comorbidities, Hamilton scales for depression and anxiety, and the SF-36 quality-of-life questionnaire. Participants were categorized based on cognitive and physical assessments using the MoCA and Functional Capacity (FC) scores: Cognitivelly Unimpaired (CU): MoCA ≥26, FC ≥70 Functional Impairment (FC): MoCA ≥26, FC ≤70 Cognitive Impairment (CI): MoCA ≤26, FC ≥70 Cognitive and Functional Impairment (CI-FC): MoCA ≤26, FC ≤70 RESULT: Mean age of participants was 52.2 years (SD 12.1), with 45.7% being female and 55% having completed higher education. A total of 45.7% were sedentary and 41.3% were overweight. Regarding comorbidities, 15.2% had diabetes, 45.7% had hypercholesterolemia and 34.8% had systemic arterial hypertension. Among CU participants, 14.3% reported mild to moderate depression, with minimal cognitive impairment (MoCA: 27.36, ACE-III: 87.79). FC showed significant functional decline (score: 52.17), but emotional aspects remained intact. In the CI group, 6.3% had moderate depression with noticeable memory decline (MoCA: 22.75, ACE-III: 83.81). CI-FC participants, 40% exhibited severe cognitive impairment (MoCA: 22.30, ACE-III: 80.2). The average MoCA score for participants was 2.70 (SD 1.48) out of 5, while the average ACE-III score was 18.7 (SD 1.5) out of 26. Both tests showed alterations in retrograde memory and delayed recall, with a significant p-value < 0.05. (Table 1) CONCLUSION: The study highlights persistent cognitive deficits even years after infection (Table 2 and 3). This contrasts with the expected cognitive decline associated with functional impairment in the continuum of normal and pathological aging, as described in the 2022 Brazilian Dementia Consensus.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".