Respiratory Syncytial Virus (<scp>RSV</scp>)‐Related Hospitalization and Increased Rate of Cardiovascular Events in Older Adults
Bibliographic record
Abstract
BACKGROUND: Recent studies suggest that respiratory syncytial virus (RSV) can cause severe illness in terms of in-hospital outcomes and mortality. The degree to which RSV hospitalization is associated with cardiovascular outcomes, particularly those known to occur following acute respiratory infections, is poorly described. METHODS: We conducted a retrospective cohort study of adults aged ≥ 65 years hospitalized with a diagnosis of RSV, influenza, urinary tract infection (UTI), or fracture between 2011 and 2020 in Ontario, Canada. Outcomes included subsequent heart failure, myocardial infarction, stroke, or atrial fibrillation events up to 1-year post-discharge, as well as in-hospital and acute outcomes. RESULTS: Cardiovascular events were subsequently identified in 18.5% (n = 474/2558) of patients who had an RSV-related hospitalization, compared to 17.7% (2961/16,688), 12.1% (8908/73,587), and 8.4% (941/11,262) of patients initially hospitalized with influenza, UTI, or fracture, respectively. In matched analyses, RSV hospitalization was associated with a greater rate of subsequent heart failure events relative to all other patient groups (HR range, 1.48-3.74), both in patients with or without pre-existing cardiovascular conditions. The rate of atrial fibrillation events was also higher in RSV patients, although this was dependent on pre-existing cardiovascular conditions and the comparator group considered. RSV patients were also more likely to be transferred to intensive care (OR range, 1.48-3.55) and had a higher rate of mortality (HR range, 1.49-3.98). CONCLUSION: Our findings suggest that RSV is an important determinant of serious post-discharge cardiovascular outcomes in older adults. Further, they underline the importance of vaccination in this population, regardless of pre-existing risk factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".