2784 Respiratory syncytial virus hospitalisation burden in older adults in Europe: preliminary results from a systematic analysis
Bibliographic record
Abstract
Abstract Introduction The disease burden of respiratory syncytial virus (RSV) in older adults is substantial but not well quantified previously. We aimed to estimate country-specific hospitalisation burden of RSV-associated acute respiratory infection in older adults (>60 years) in Europe. Methods We collected published data (through a systematic review) and unpublished data (from GSK-sponsored studies and international collaborators) on RSV hospitalisation burden. We used multiple imputation for missing age bands. We applied stepwise statistical adjustment to account for case under ascertainment related to the variations in case definitions, clinical specimens and RSV diagnostic tests in individual studies. We reported country-level RSV hospitalisation rates for countries with ≥1 eligible study reporting point estimate and 95% confidence interval (CI) of the rates (a random-effects meta-analysis was conducted when ≥2 studies were available). As an alternative method, we additionally included studies not reporting 95% CI and calculated the median of the rate point estimates. Results Seven studies were included from five countries: Denmark (1), Finland (1), Netherlands (1), Spain (1) and UK (3). Denmark and Spain had the highest and lowest adjusted RSV-associated hospitalisation rate (408/100000, 95% CI: 319–516; and 176/100000, 137–226) in >60 years, which was about 2.4 times the unadjusted estimate. The alternative method with 5 more studies added had similar estimates for the five countries; another country (Norway) was added and it had the highest adjusted hospitalisation rate (742/100000). RSV-associated hospitalisation rate increased with increasing age across all countries. Conclusions With RSV vaccines now approved for use in older adults, our findings help inform the need for country-level RSV prevention.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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".