Temporal Trends in Mortality and Hospitalization Related to SARS-CoV-2 in Dialysis Patients in Québec (Canada)
Bibliographic record
Abstract
Background: In Canada, Quebec province was the most severely hit region during the first year of the SARS-CoV-2 pandemic. We aimed to compare characteristics and outcomes of dialysis patients during the first and second SARS-CoV-2 transmission surges in this province. Methods: The QRN-COVID-HD study included adult dialysis patients from 13 units in Quebec, with SARS-CoV-2 PCR tests performed between Mar-Sept 2020 (1st wave) and Oct 2020-Feb 2021 (2nd wave). Crude and stratified rates of mortality, hospitalization and intensive care unit (ICU) admission within 90-day of SARS-CoV-2 positivity were calculated with mixed effect Poisson regressions. Adjusted predictors of 90-day outcomes were evaluated using mixed effect logistic regressions and negative binomial regressions (as appropriate). Results: Over this 12-month period, 431 patients were infected with SARS-CoV-2 (211 1st wave; 220 2nd wave). Most characteristics (including age) were similar in the two waves although 2nd wave patients were less frequently living in long-term care facilities and had more diabetic nephropathy. Overall, 214 (50%) patients were hospitalized at least once and 214 (26%) died within 90-day of SARS-CoV-2 positivity, with 78% of hospitalizations and 84% of deaths directly attributed to SARS-CoV-2. Mortality and hospitalization rates were lower for 2nd compared to 1st wave patients. Figure In contrast, ICU admissions were similar in both waves (0.14, 95% CI 0.10-0.19 [1st] vs. 0.13, 95% CI 0.09-0.18 [2nd] per 100 pt-yrs). When adjusted for case-mixed differences, the 2nd wave remained associated with lower risk of mortality (OR 0.55, 95% CI 0.32-0.95), hospitalization (OR 0.45, 95%CI 0.28-0.71) and days in hospital (IRR 0.49, 95% CI 0.46-0.53), but similar risk of ICU (OR 0.73; 95% CI 0.39-1.37). Conclusions: Dialysis patients with SARS-CoV-2 infections had more favorable clinical outcomes during the 2nd wave, which is consistent with observations in the general population and may be related to improved clinical care. Funding: Government Support - Non-U.S.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".