Humoral antibody response to the first dose of the <scp>ChAdOx1 nCoV</scp>‐19 vaccine in Asian patients undergoing hemodialysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The immunogenicity of vaccines is known to be attenuated in patients with end-stage kidney disease due to uremia. Patients on dialysis were excluded from coronavirus disease 2019 (COVID-19) vaccine trials; thus, the effectiveness of vaccines for this population is unclear. The aim of this study was to explore whether Asian dialysis patients can effectively produce an immune response after being vaccinated with the first dose of the ChAdOx1 nCoV-19 vaccine. DESIGN SETTING, PARTICIPANTS, AND MEASUREMENTS: In this prospective cohort study, we included Asian hemodialysis patients who received the ChAdOx1 nCoV-19 vaccine. At 3 weeks after the first dose of vaccination, we assessed the humoral immune response by measuring anti-SARS-CoV-2 S antibody titers. The primary outcome was the seropositive rate following vaccination, defined as an antibody titer greater than or equal to 0.8 U/ml. Factors associated with seropositivity were explored in multivariate logistic regression analyses. RESULTS: In total, 434 participants were included. The mean age was 64 years, the mean dialysis vintage was 6 years, and 61% of the participants were men. At a mean time of 22 days from vaccination, 56% of the participants were seropositive. The vast majority (88%) had low antibody titers (< 15 U/ml). The multivariate logistic regression analyses showed that older age (every increase of 10 years, odds ratio [OR] 0.80, 95% CI 0.65-0.98, p = 0.03) was negatively associated with seropositivity and that higher Kt/V (every increase of 0.1, OR 1.14, 95% CI 1.01-1.28, p = 0.03) and higher serum albumin level (every increase of 0.1 g/dl, OR 1.09, 95% CI 1.02-1.18, p = 0.02) were positively associated with seropositivity. CONCLUSIONS: In Asian hemodialysis patients, the seropositive rate was low, and most had low antibody titers after the first dose of the ChAdOx1 nCoV-19 vaccine. Younger age, better dialysis adequacy, and higher albumin levels were associated with seropositivity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".