AI may help predict heart risk in elderly surgery patients
NCT ID NCT07566013
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study looks at whether a computer model can predict heart injury after major orthopedic surgery in patients 65 and older. Researchers will combine blood tests, frailty scores, and other health data to build a machine learning tool. The goal is to help doctors spot high-risk patients before surgery, but this is an observational study and does not test a new treatment.
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 tool that helps doctors identify elderly patients at high risk of heart injury before surgery, allowing for better planning and care.
- What could go wrong
- This is an observational study, not a treatment trial. The model may not work perfectly in all hospitals or patient groups, and it does not directly improve outcomes.
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 600 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Apr 2026
- Expected to finish
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Jun 2026
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
The study population consists of geriatric patients (aged 65 years) undergoing major orthopedic surgery and requiring postoperative intensive care unit follow-up. Eligible participants must have at least one cardiac troponin level measured within the first 72 hours postoperatively. Patients on chronic dialysis due to end-stage renal disease and those with insufficient preoperative laboratory data will be excluded. The population is selected to represent high-risk geriatric patients in a tertiary training and research hospital setting
- Ages
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65 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: * All patients aged 65 years and older. * Patients undergoing major orthopedic surgery (hip fracture repair, total knee/hip arthroplasty, and revision surgeries). * Patients operated on within the designated study period (January 2021 - December 2023). * Patients with complete access to preoperative clinical data (comorbidities, medication use) and baseline laboratory parameters (Hemoglobin, Creatinine, Albumin). * Patients who had at least one postoperative cardiac troponin (hs-cTn) measurement within the first 72 hours after surgery. Exclusion Criteria: * Patients with a documented history of acute myocardial infarction or elevated baseline troponin levels in the preoperative period (to differentiate acute injury from surgical causes). * Patients with end-stage renal disease (ESRD) requiring dialysis (as chronic kidney dysfunction persistently elevates baseline troponin levels). * Patients with missing critical preoperative data or incomplete postoperative troponin follow-up.
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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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Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
Ankara, Ankara, 06630, Turkey (Türkiye)
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