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Post-discharge mortality in suspected pediatric sepsis: Insights from rural and urban healthcare settings in Rwanda.

PLOS global public health2025-12-11PubMed
Total: 75.5Innovation: 7Impact: 8Rigor: 8Citation: 7

Summary

In 1,218 Rwandan children admitted with suspected infection, overall mortality was 9.4% with half occurring post-discharge (4.7%). Post-discharge mortality was highest in infants 0–6 months (10%) and higher in the urban hospital. Risk factors included severe malnutrition (aOR 3.31) and low maternal education in infants, and abnormal Blantyre score, >1-hour travel time, and referral for higher care in older children.

Key Findings

  • Overall mortality 9.4% (in-hospital 4.7%; post-discharge 4.7%); median time to post-discharge death ~33–38 days.
  • Post-discharge mortality highest in 0–6 months (10%) and higher in the urban hospital (Kigali 10.3% vs. Ruhengeri 2.7%).
  • Infants: severe malnutrition increased post-discharge death risk (aOR 3.31), higher maternal education was protective (aOR 0.15).
  • Children 6–60 months: abnormal Blantyre Coma Scale (aOR 3.28), travel time >1 hour (aOR 3.54), and referral for higher care (aOR 4.13) predicted death.

Clinical Implications

Implement structured post-discharge follow-up within 2–6 weeks, caregiver counseling, nutritional support, and community health worker monitoring, prioritizing high-risk infants.

Why It Matters

Quantifies the often-overlooked post-discharge mortality burden in pediatric sepsis and identifies modifiable social and clinical risk factors in an LMIC setting.

Limitations

  • Conducted at two hospitals in Rwanda, which may limit generalizability
  • Inclusion based on suspected/confirmed infection may introduce heterogeneity in sepsis definitions

Future Directions

Test scalable post-discharge care bundles and mobile health follow-up, and evaluate cost-effectiveness and equity impacts across LMIC settings.

Study Information

Study Type
Cohort
Research Domain
Prognosis
Evidence Level
II - Prospective cohort assessing post-discharge outcomes with multivariable risk modeling
Study Design
OTHER