New algorithm could save thousands of children after sepsis hospital stays
NCT ID NCT07629154
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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This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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BC Children's Hospital Research Institute
ACTIVE_NOT_RECRUITINGVancouver, British Columbia, V5Z 2X8, Canada
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Catholic University Of Health And Allied Sciences
RECRUITINGMwanza, Tanzania
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The Rwanda Paediatric Association
RECRUITINGKigali, Rwanda
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University of California, San Francisco
NOT_YET_RECRUITINGSan Francisco, California, 94117, United States
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University of Washington
NOT_YET_RECRUITINGSeattle, Washington, 98195, United States
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WALIMU
COMPLETEDMbarara, Uganda
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Weill Cornell Medicine
NOT_YET_RECRUITINGIthaca, New York, 14850, United States
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