Mapping the Body's ICU journey: a new monitor could spot danger signs early
NCT ID NCT07773571
First seen Aug 19, 2026 · Last updated Aug 20, 2026 · Updated 1 time
Summary
This study aims to develop a research tool called the ICU Physiological State Space Monitor. Using data from 60,000 adult ICU patients, researchers will track daily changes across 10 body systems to see if they can identify patterns that precede sudden worsening. The goal is to see if this approach can predict events like the need for a breathing tube or kidney support within 72 hours, potentially offering a new way to understand and anticipate critical illness.
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 a new tool that helps doctors spot ICU patients at risk of rapid decline earlier, potentially improving care and outcomes.
- What could go wrong
- This is a retrospective, single-center study, so results may not apply to other hospitals. The monitor is for research only, not real-time use, and may not improve patient outcomes in practice.
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
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About 60,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jun 2026
- Expected to finish
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Dec 2029
An estimate. End dates often move.
- Lead sponsor
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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
Adult patients admitted to an ICU at Zhongshan Hospital, Fudan University between September 2021 and May 31, 2026 who have an extractable, uniquely identifiable ICU encounter in the ICCA reporting-layer database and meet the prespecified eligibility criteria. The study will use a fixed-time-window census of all eligible records. The principal participant count will be based on unique patients; ICU encounters and patient-days will form the analytic units for longitudinal modeling.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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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 Hide 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.
Inclusion Criteria: * Age 18 years or older. * Admission to an ICU at Zhongshan Hospital, Fudan University between September 2021 and May 31, 2026, with a uniquely identifiable ICU encounter in the ICCA reporting-layer database. * ICU length of stay of at least 24 hours. * Availability of core variables from at least four physiological domains and at least one patient-day suitable for modeling. Exclusion Criteria: * Duplicate import of the same ICU encounter that cannot be reliably deduplicated. * Severe missingness, inconsistency, or irreconcilable error in key identifiers, ICU admission/discharge times, or core timestamps. * Test data, demonstration data, or records determined through data governance to be non-genuine patient records. * Inability to lock the primary source mapping for key variables, or overall data quality insufficient to support construction of the physiological state vector.
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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
Locations
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Zhongshan Hospital
Shanghai, Shanghai Municipality, 200032, China
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