Mortality Pattern within Twenty-Four Hours of Emergency Paediatric Admission in a Resource-Poor Nation Health Facility
Bibliographic record
Abstract
BACKGROUND: Mortality among emergency paediatric admissions within the first 24 hours is high in resource- poor nations. Measures to reduce the childhood mortality rate can only be effectively planned and implemented when the causes and magnitude of this problem are well defined. OBJECTIVE: To determine the mortality pattern among emergency paediatric admissions within the first 24 hours in a health facility in Nigeria. METHODS: The clinical state and progress of post-neonatal patients who presented alive and were admitted into the emergency paediatric room of the University of Ilorin Teaching Hospital, Ilorin, Nigeria were monitored over a period of six months. The monitoring included records of diagnosis and outcome of management. RESULTS: A total of 606 children were admitted during the period of study out of which 51(8.4%) died. Twenty-nine (57%) of the deaths occurred within the first 24 hours of admission comprising 15 (51.7%) males and 14 (48.3%) females giving M:F ratio of about of 1:1. Majority of the deaths were among patients who reported late to the hospital. Loss of consciousness was a strong risk factor for mortality within 24 hours of admission. The highest mortality within the first 24 hours of admission was recorded among patients with malaria (89.0%) followed by protein energy malnutrition. CONCLUSION: Majority of deaths among emergency paediatric admission occur within the first 24 hours of admission and are associated with clinical conditions such as malaria and protein-energy malnutrition for which sustained intervention strategies must be developed.
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 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.001 | 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".