Factors Associated with Hospital Length of Stay by Viral Croup in a Fourth Level Pediatric Hospital in Bogota
Bibliographic record
Abstract
Introduction: Croup is a common childhood disease and is a frequent diagnosis in pediatric emergency room (PER).The aim of this study was to identify the clinical factors and care-related factors associated to hospital length of stay (HLOS) in a fourth level pediatric hospital in Bogota, Colombia.Methods: Retrospective cohort of patients in ages 0-36 months (n=120), consulting in PER throughout January to December, 2018.Patients were excluded for presenting upper respiratory tract abnormalities, other etiologies for croup rather than viral infection, and compromised lower respiratory tract.Included variables were related to individual, clinical, treatment-related aspects of the patients, and educational level of the first attending health care team.Association with HLOS was determined through multivariable analysis and, finally, a logistic regression model for HLOS≥ 6 hours ─ defined here as prolonged HLOS (pHLOS).Results: Cohort showed a median age of 15 months and a male/female ratio: 1,4:1.The general median for HLOS was 3,4 hours.Hemoglobin saturation values (SatHb%) was significantly lower in patients in the pHLOS group (p=0,033).Patients with inadequate weight-for-age (W/A) and requested chest X-ray, viral panel or requested hospitalization had a greater HLOS.Patients with low severity presentations of croup and those that didn´t require supplementary oxygen displayed a lower HLOS (p<0,05).Presence of intercostal retractions was the only variable that acted as an independent risk factor for pHLOS (OR: 16; CI95% 2,186-117,09)Conclusions: Presence of intercostal retractions acts as an independent risk factor to pHLOS.Lower SatHb%, inadequate W/A, requested hospitalization and requested diagnostic aids, were related to longer HLOS.Low severity presentations of viral croup and not-requiring supplementary oxygen were associated with shorter HLOS.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".