Immunogenicity of Varicella Vaccine and Immunologic Predictors of Response in a Cohort of Elderly Nursing Home Residents
Bibliographic record
Abstract
Little is known about the immunogenicity of live-attenuated Oka/Merck varicella zoster virus (VZV)–containing vaccine (hereafter, “varicella vaccine”) in frail nursing homes residents nor about immune phenotypes associated with a response. A cohort of 190 frail nursing home residents aged 80–102 years and a cohort of 50 community-dwelling seniors aged 60–75 years (a comparison group) received varicella vaccine. Interferon γ (IFN-γ) enzyme-linked immunospot assays were performed before and 6 weeks after vaccination. Cellular markers of immunosenescence were measured in the nursing home elderly. The average number of IFN-γ spot-forming cells at baseline was significantly lower in the elderly nursing home residents than in the community-dwelling seniors. However, following vaccination, the VZV immune response increased in both cohorts, and no difference was noted in the fold difference of the response between the 2 cohorts. Upon further examination of the elderly nursing home residents, we found that higher frequencies of regulatory T cells and cytomegalovirus-specific CD4+ T cells correlated negatively with the magnitude of VZV-specific responses. The Oka/Merck varicella vaccine induces VZV immunity in elderly nursing home residents that is similar to that produced in community-dwelling seniors. NCT01328548.
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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 | 0.000 | 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 | 0.000 |
| 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".