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AI could help spot kids at highest risk from severe malaria

NCT ID NCT07355426

Knowledge-focused Sponsor: University of Kinshasa Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looked at 100 children in Congo with severe malaria to see if computer models could predict who might die. Researchers used blood tests and other data to build machine-learning algorithms. The goal is to help doctors make faster, better treatment decisions for the sickest children.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to better tools for doctors to quickly identify which children with severe malaria are at highest risk of dying, allowing for earlier and more aggressive treatment.
What could go wrong
This is a small, completed observational study (100 children) that only develops prediction models. The models need to be tested in larger, different groups of children before they can be used in real hospitals.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

100 people

The number who actually took part.

Started

Jan 2017

Finished

Aug 2025

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Children with severe malaria, admitted to the pediatric intensive care units of the Monkole Hospital Center (MHC) and the Kimbondo Pediatric Center (KPC), all in Kinshasa, DR. Congo.

Ages

2 to 9 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

I) Inclusion Criteria: -Admission to the pediatric intensive care unit (PICU) for severe malaria, as defined by the World Health Organization (WHO) criteria. Definitions: 1. Severe malaria was defined by the presence of at least one major clinical manifestation, including: * Coma * Repeated seizures (≥ 2 episodes within 24 hours) * Neurological disorders * Respiratory distress * Liver failure * Dark ("Coca-Cola") urine * Jaundice * Renal failure (anuria) * Severe anaemia (Hb ≤ 5 g/dL) * Bleeding abnormalities * Circulatory collapse or systolic blood pressure \< 50 mmHg 2. Data collection periods varied by health zone and clinical unit. However, within each zone, all consecutively admitted patients during the study period were included. II) Exclusion Criteria: * Another medical condition (non-parasitic infection or other) capable of causing anemia or similar abnormalities. * Comorbidities that could interfere with the clinical presentation or outcomes of severe malaria.

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Conditions

The condition(s) this trial relates to.

Acidosis malaria multiple organ dysfunction syndrome Plasmodium falciparum malaria

As listed by the trial registrant

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

Severe malaria

Contacts and locations

Locations

  • Kinshasa

    Kinshasa, Kinshasa City, Democratic Republic of the Congo

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