Chest pain in a pediatric emergency department: clinical assessment and management reality in a third-level Portuguese hospital
Bibliographic record
Abstract
Chest pain in children and adolescents is a common complaint in the emergency department (ED), being mostly benign. A thorough patient history and physical examination should be enough in most cases for its proper management. Regarding non-cardiac chest pain, anxiety plays an important role. Methods: Retrospective analysis of all admissions in a pediatric ED of a Portuguese third-level hospital with a chief complaint of chest pain between January and December 2018. Chi-square test was used to compare different etiologies, considering a significance level of 5%. Results: A total of 798 visits were included: 53.6% girls, 80.8% adolescents (mean age: 13years old). According to the Pediatric Canadian Triage and Acuity Scale, 77.7% was prioritized as level IV: less urgent; 65.3% reported associated symptoms including dyspnea (31.8%), cough (18.2%), and palpitations (16.1%). In physical examination, 45.5% had alterations: 62.8% with chest wall tenderness. Further investigation was done in 84% of patients: 62.4% electrocardiograms (altered in 14.7%), 52.6% chest radiographies (altered in 17.1%) and 8.9% cardiac biomarkers (altered in 12.7%). The 3 main causes of chest pain were musculoskeletal (33%), idiopathic (24.4%) and psychogenic (21.6%), with 1.1% of cardiac etiology. Less than 3% needed hospital admission and 18.9% were oriented to an outpatient consultation. 7.1% readmissions reported. When compared to other causes as a group, psychogenic chest pain presented a statistically significant association with female sex, adolescence, psychiatric antecedents, previous stressful event, and normal physical examination. Of these, <30% were oriented to a pedopsychiatry/psychology consultation. Conclusions: Opposing to the low priority level in triage, benign diagnosis found, and low hospital admissions, there was a high percentage of complementary diagnostic tests performed with few altered results. In psychogenic chest pain there was a low postdischarge referral. The authors highlight the importance of clinical algorithms to reduce unnecessary tests performed and readmissions and improve orientation and follow-up, particularly in psychogenic etiology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".