New algorithm could save thousands of children after sepsis hospital stays

NCT ID NCT07629154

Recruiting now Knowledge-focused Sponsor: University of British Columbia Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study aims to create a tool that can predict which children aged 5 to 16 with sepsis are at risk of dying or getting sick again after leaving the hospital in East Africa. Researchers will follow 4,000 children for six months after discharge to collect data and build these prediction algorithms. The goal is to help doctors identify high-risk children and provide extra support to prevent deaths after they go home.

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Conditions

The condition(s) this trial relates to.

infectious disease with sepsis Sepsis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

SEPSIS

Contacts and locations

Locations

BC Children's Hospital Research Institute
ACTIVE_NOT_RECRUITING

Vancouver, British Columbia, V5Z 2X8, Canada
Catholic University Of Health And Allied Sciences
RECRUITING

Mwanza, Tanzania
The Rwanda Paediatric Association
RECRUITING

Kigali, Rwanda
University of California, San Francisco
NOT_YET_RECRUITING

San Francisco, California, 94117, United States
University of Washington
NOT_YET_RECRUITING

Seattle, Washington, 98195, United States
WALIMU
COMPLETED

Mbarara, Uganda
Weill Cornell Medicine
NOT_YET_RECRUITING

Ithaca, New York, 14850, United States

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