Geriatric Syndromes in Older Adults Hospitalized with COVID-19 in Montreal, Canada
Bibliographic record
Abstract
Background: Older adults are more vulnerable to severe infection and mortality due to COVID-19. They have atypical presentations of the disease without respiratory symptoms, making early diagnosis clinically challenging. We aimed to compare the baseline characteristics, presentation, and disease course of older (≥70 yrs & ≥90 yrs) and younger (<70 yrs) patients hospitalized with COVID-19. Methods: Retrospective review of 429 consecutive patients hospitalized at two tertiary care hospitals in Montreal, Canada, with PCR-confirmed COVID-19. Baseline characteristics, presentation, in-hospital complications, and outcomes were recorded. Desegregation by age was performed to compare older versus younger individuals. Additional subgroup analyses were performed amongst patients ≥70 stratifying by sex, living situation, and those presenting with geriatric syndromes compared to those without. Results: Patients ≥70 (n=260) presented less frequently with respiratory symptoms compared to patients <70 (n=169) (52% vs. 32%). 11% of patients ≥70 and 24% of patients ≥90 presented with a geriatric syndrome as their sole symptom compared to 3% of those <70. Older adults were more likely to develop disease complications (including delirium, acute kidney injury, and hypernatremia) and had higher in-hospital mortality (32% vs. 13%). Subgroup analyses revealed heightened vulnerability to complications in older men, those from long-term care, and those with at least one geriatric syndrome upon presentation. Conclusions: Older adults presenting to hospital with COVID-19 often have no respiratory symptoms and can present with only a geriatric syndrome. New geriatric syndromes in older individuals should trigger evaluation for COVID-19 and consideration for early initiation of multidisciplinary care to prevent complications.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".