The spectrum of acute illness and mortality of children and adolescents presenting to emergency services in Sanghar district hospital, Pakistan: a prospective cohort study
Bibliographic record
Abstract
OBJECTIVE: To describe presenting diagnoses and rates and causes of death by age category and sex among children with acute illness brought to a district headquarter hospital in Pakistan. DESIGN: Prospective cohort study. SETTING: Sanghar district headquarter hospital, Sindh, Pakistan between December 2019 and April 2020 and August 2020 and December 2020. PARTICIPANTS: 3850 children 0-14 years presenting with acute illness to the emergency and outpatient departments and 1286 children admitted to the inpatient department. OUTCOME MEASURES: The primary outcome was Global Burden of Disease diagnosis category. Secondary outcomes were 28-day mortality rate, cause of death and healthcare delays, defined as delay in care-seeking, delay in reaching the healthcare facility and delay in appropriate treatment. RESULTS: Communicable diseases were the most common presenting diagnoses among outpatients and among inpatients aged 1 month to 9 years. Non-communicable diseases and nutritional disorders were more common with increasing age. Few children presented with injuries. Newborn period (age <28 days) was associated with increased odds of death (OR 4.34 [95% CI 2.38 to 8.18], p<0.001, reference age 28 days-14 years) and there was no significant difference in odds of death between female vs male children (OR 1.12, 95% CI 0.6 to 2.04, p=0.72). 47 children died in the hospital (3.6%) and three (0.2%) died within 28 days of admission. Most children who died were <28 days old (n=32/50, 64%); leading diagnoses included neonatal sepsis/meningitis (n=13/50, 26%), neonatal encephalopathy (n=7/50, 14%) and lower respiratory tract infections (n=6/50, 12%). Delays in care-seeking (n=15) and in receiving appropriate treatment (n=12) were common. CONCLUSION: This study adds to sparse literature surrounding the epidemiology of disease and hospital outcomes for children with acute illness seeking healthcare in rural Pakistan and, in particular, among children aged 5-14 years. Further studies should include public and private hospitals within a single region to comprehensively describe patterns of care-seeking and interfacility transfer in district health systems.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".