Viral Respiratory Infection and Hospital Stay in Children With Asthma Attacks in a Pediatric Hospital in Bogotá
Bibliographic record
Abstract
Abstract Introduction: viral infections trigger 85 to 95% of asthma attacks in children; however, each infectious agent has different characteristics, and the intensity of the attack varies among patients. Our objective was to evaluate and characterize patients with asthma attacks and the viral isolation identified through molecular tests and/or antigens, as well as to assess predictors of prolonged hospital stay based on the findings. Methodology: crosssectional analytical study using a binary logistic regression model to analyze the outcome of prolonged hospital stay. Results: all patients who attended San Ignacio Hospital from January 2021 to December 2022 were analyzed, resulting 775. Of these, 534 patients met the inclusion criteria, with 284 (53.2%) being male.The median age was 5 years, IQR 5 years. A viral panel was performed on 344 (64.4%), PCR for SARS-CoV-2 on 351 (65.7%), and a Film Array on 183 (34.3%).Rhinovirus/enterovirus was isolated in 127 patients, Respiratory Syncytial Virus (RSV) in 67 (12.5%), COVID-19 in 48 (9%), Adenovirus in 27 (5.1%), Metapneumovirus in 18 (3.4%) and Influenza in 13 (2.4%). The median length of stay was 3 days, with an IQR of 5 days. The 75th percentile was 6 days. A prolonged stay was defined as being hospitalized for 7 days or more, with 85 (16%) in this group, and associated predictors were evaluated. A total of 187 (35%) children experienced a mild crisis, 223 (41.8%) had a moderate crisis, and 124 (23.2%) had a severe crisis requiring admission to an intensive care unit; 119 (22.3%) received highflow nasal cannula (HFNC). In the bivariate analysis, a statistical significance was found with the variables age, having a positive test for SARS-CoV-2, RSV, any comorbidity, experiencing a severe crisis, the need for HFNC, Venturi mask and the service in which care was received. Using these variables, a logistic regression model was run, which found independent predictors of prolonged stay to be having a positive PCR for SARS-CoV-2 OR 3.50 (1.47-8.32) p 0.004 and, as a protective factor, admission to basic care hospitalization OR 0.21 (0.21-0.96) p: 0.00. Conclusion: Viruses are an important cause of asthma exacerbations. In our group of patients, SARS-CoV-2 infection was a factor related to prolonged stay, a noteworthy finding since it has not been frequently reported in the literature and reinforces the need for infection prevention. General hospitalization reflects the severity of the crisis, so children who do not require special care have shorter hospital stays.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".