Nosocomial RSV-related in-hospital mortality in children <5 years: a global case series
Bibliographic record
Abstract
ABSTRACT Background According to the World Health Organization the global burden of nosocomial infections is poorly characterized as surveillance systems for nosocomial infection are lacking. Nosocomial infections occur at higher rates in low- and lower-middle-income countries (LMICs) than in high-income countries (HICs). Current global RSV burden estimates are largely based on community-acquired disease. We aimed to characterize children with nosocomial RSV-related mortality and to understand the potential impact of RSV immunization strategies. Methods RSV GOLD is a global registry of children younger than 5 years who died with laboratory-confirmed RSV infection. We compared clinical and demographic characteristics of children with nosocomial and community-acquired RSV in-hospital mortality. Results We included 231 nosocomial and 931 community-acquired RSV-related in-hospital deaths from 65 countries. Median age at death was similar for both groups (5.4 vs 6 months). As expected, a higher proportion of children with nosocomial infection had comorbidities (87% vs 57%; p<0.001) or was born preterm (46% vs 24%; p<0.001) than children with community-acquired infection. The proportion of nosocomial deaths among all RSV deaths was lower in LMICs than in upper-middle-income countries (UMICs) and HICs (12% vs 18% and 26%, respectively). Conclusions This is the first global case series of children dying with nosocomial RSV infection. Future infant-targeted immunization strategies can prevent the majority of nosocomial RSV-related deaths. Although nosocomial RSV deaths are expected to occur at highest rates in LMICs, the number of reported nosocomial RSV deaths was low in these countries. Hospital-based surveillance is needed to capture the full burden of nosocomial RSV mortality in LMICs. Key points The proportion of reported nosocomial RSV-related deaths is substantially lower in lower-middle-income countries than in upper-middle-income countries and high-income countries (12% vs 18% and 26%, respectively). The majority of nosocomial RSV-related deaths can be prevented by infant-targeted immunization strategies as more than half were younger than 6 months of age.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".