Sex differences in COVID-19 symptoms and outcomes in people with kidney failure treated with dialysis: a prospective cohort study
Bibliographic record
Abstract
BACKGROUND: People with kidney failure treated with dialysis are at increased risk of SARS-CoV-2 infection, and severe COVID-19 outcomes such as hospitalization and death. Though there are well-defined sex differences in outcomes for the general population with COVID-19, we do not know whether this translates into kidney failure populations. We aimed to estimate the differences in COVID-19 symptoms and clinical outcomes between males and females treated with maintenance dialysis. METHODS: In this prospective observational cohort study, we included adults treated with maintenance dialysis in Southern Alberta, Canada that tested positive for COVID-19 between March 2020 and February 2022. We examined the association between sex (dichotomized as male and female) with COVID-19 symptoms including fever, cough, malaise, shortness of breath, muscle joints/aches, nausea and/or vomiting, loss of appetite, diarrhea, headache, sore throat, and loss of smell/taste using chi-square or Fisher's exact tests. Secondary outcomes included 30-day hospitalization, ICU admission, and death. RESULTS: Of 1,329 cohort participants, 246 (18.5%) tested positive for SARS-CoV-2 and were included in our study, including 95 females (39%). Of 207 participants with symptoms assessed, females had less frequent fever (p = 0.003), and more nausea or vomiting (p = 0.003) compared to males, after correction for multiple testing. Males exhibited no symptoms 25% of the time, compared with 10% of females (p = 0.01, not significant when corrected for multiple testing). We did not identify statistically significant differences in clinical outcomes between the sexes, though vaccinated patients had lower odds of hospitalization. CONCLUSIONS: Sex differences in COVID-19 symptoms were identified in a cohort of patients treated with maintenance dialysis, which may inform sex-specific screening strategies in dialysis units. Further work is necessary to examine mechanisms for identified sex differences.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".