AI model aims to predict heart risks after hip surgery in seniors

NCT ID NCT07709377

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Recruiting now
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Not open to general applications. Only people the study team invites can take part.
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Cancelled before anyone took part.

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First seen Jul 16, 2026 · Last updated Jul 17, 2026 · Updated 1 time

Summary

This study develops and tests an artificial intelligence-based tool to predict major heart complications—such as heart attack, heart failure, or dangerous heart rhythms—in adults aged 60 and older after hip fracture surgery. Researchers will analyze data from 600 patients across two hospitals, using machine learning to identify key risk factors and build a prediction model. The goal is to help doctors better identify high-risk patients and improve their care, without any experimental treatments or changes to standard medical practice.

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 practical tool that helps doctors identify elderly patients at highest risk of heart complications after hip fracture surgery, potentially reducing deaths and improving recovery.
What could go wrong
This is an observational study, not a treatment trial, so it won't directly test any new therapy. The prediction model may not work as well in other hospitals or patient groups, and machine learning models can sometimes be hard to interpret or apply in everyday care.

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Study facts

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

Participants

About 600 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jul 2025

Expected to finish

Jun 2028

An estimate. End dates often move.

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

Retrospective data will be collected from the electronic medical records of elderly patients with hip fractures who were hospitalized in the orthopedic departments of Beijing Anzhen Hospital, Capital Medical University, and China-Japan Friendship Hospital. Prospective data will be from newly admitted elderly patients with hip fractures who meet the eligibility criteria and undergo surgery enrolled at both study centers from the date of ethics committee approval.

Ages

60 years and older

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.

Inclusion Criteria: * Age ≥60 years; * Diagnosis of femoral neck fracture or intertrochanteric fracture, including subtrochanteric fracture; * Undergoing surgical treatment. Exclusion Criteria: * Pathological fracture; * High-energy trauma or multiple injuries; * Incomplete relevant clinical data; * Failure to provide written informed consent (prospective cohort only).

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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

  • Beijing Anzhen Hospital, Capital Medical University

    Beijing, Beijing Municipality, 100029, China

  • China-Japan Friendship Hospital

    Beijing, Beijing Municipality, 100029, China

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