Epidemiology and Clinical Characterstics of Community Aquired Pneumonia in childhood at Zagazig University Hospitals
Bibliographic record
Abstract
Background: Childhood pneumonia continues to be a leading cause of morbidity and mortality in developing countries. In Egypt, pneumonia is prevalent and represents a socioeconomic burden on patients and their families due to recurrent absences from school and hospital stays. This study aimed to assess the clinical characteristics and epidemiology of pneumonia among children admitted in pediatric department, Zagazig university hospitals. Patients and methods: This cross-section study was carried out at pulmonology unit, Pediatric Department, on 159 children with pneumonia aged between 2 and less than 15 years. Treatment was tailored based on clinical presentation, special emphasis on the duration and severity of pneumonia and treatment given. The respiratory distress severity was assessed using a clinical Canadian emergency department triage. Chest x-ray on admission and before discharge, CT if needed , Laboratory investigations, D-dimer and Blood culture. Results: that pneumonia was most prevalent among preschool aged males from urban areas. Moderate pneumonia was most common, with the majority having right lung involvement. All patients presented with fever, tachypnea, dyspnea and cough, while additional symptoms like chest pain and oxygen desaturation below 92% were more associated with pleural effusion. Outcome, 90.6% of patients improved and discharged for follow up in our clinic while 9.4% of them cases needed ICU admission. Conclusion: Cultures most commonly yielded no growth, although Staph aureus from pleural fluid and Klebsiella form sputum were notable his attributed to high prevalence of viral causes of pneumonia among studied patients and confirms the importance of Staph aureus and Klebsiella.
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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 | 0.001 | 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) | 0.002 | 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".