Factors associated with complications of foreign body ingestion and/or aspiration in children from a Peruvian hospital
Bibliographic record
Abstract
Objective: To determine the factors associated with complications of foreign body ingestion and/or aspiration in children from a hospital in the Peruvian social security program. Materials and methods: An observational, retrospective, analytical, and transverse study was undertaken. Medical records of patients under the age of 14 years old, who were admitted to the National Hospital Edgardo Rebagliati Martins between January 2013 and May 2017, and treated with a diagnosis of foreign body in the digestive or respiratory tract, were selected. Variables that characterized the foreign body ingestion and/or aspiration were assessed. STATA v11.1 was used for all subsequent statistical analyzes. Results: A total of 322 cases met the inclusion criteria and the median age of the cohort was 4 years old (interquartile range: 2-6). The most frequently ingested foreign bodies were coins (∼59%) and batteries (∼10%). Fifty-four cases (∼17%) were classed as having a complication. In the multivariate analysis, we observed that the frequency of complications increased when the ingested object was a battery (adjusted prevalence ratio (aPR): 2.89; 95% confidence interval (CI): 2.52-3.32; p-value<0.001), when the time elapsed prior to diagnosis was 8-16 h (aPR: 2.23; 95% CI: 2.18-2.28; p-value<0.001), and when the child was male (aPR: 1.85; 95% CI: 1.24-2.74; p-value = 0.002). However, the frequency decreased in cases where foreign bodies were lodged in the nose (aPR: 0.97; 95% CI: 0.97-0.98; p-value<0.001). Conclusions: Whilst the most frequently ingested foreign bodies in this study were coins, complications were more common in cases of battery ingestion and in those where the diagnosis was made after 8 h.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".