Measles seroprevalence in human immunodeficiency virus-infected adults born in the era of measles vaccination
Bibliographic record
Abstract
OBJECTIVE: Widespread use of the measles vaccine should lead to the elimination of this disease. Here, we study the seroprevalence of measles in a cohort of adults living with HIV born after the introduction of measles vaccine in France and attempt to identify risk factors for the absence of serum measles antibody. DESIGN: In this multi-centre cross-sectional study, adult outpatients born after 1980 were screened for the presence of measles IgG antibody. Demographic and clinical data were obtained from the standardized electronic medical record system. Univariate and multivariate logistic regressions were performed to identify factors associated with the absence of measles antibodies. RESULTS: Between April 2019 and April 2020, 648 participants were enrolled. The median age was 33 years, 53.6% were born outside of France, and 74% were considered as socially deprived. Plasma HIV RNA was undetectable in 86% of patients. Among 603 evaluable patients, measles serology was positive in 87.2%. Only 81.8% of the patients with documented vaccination tested positive for measles IgG. Younger age was significantly associated with the absence of measles serum antibodies ( P = 0.004 for each 10-year lower), as was birth in France ( P < 0.001) and absence of social vulnerability ( P = 0.04). CONCLUSION: The current study revealed a low seroprevalence of measles compared with that previously reported in France 6 years earlier and to the expected rate to achieve herd immunity. Checking vaccination record should be systematically carried out in patients living with HIV to fill the immunity gaps.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".