Smart math could help spot High-Risk heart surgery patients

NCT ID NCT06812624

Completed Knowledge-focused Sponsor: Istanbul University - Cerrahpasa Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looked at 485 patients who had coronary artery bypass surgery to see if a computer method called fuzzy logic could better predict who is at risk of dying. Fuzzy logic is a way to handle uncertain information, similar to how doctors think. The goal is to create a tool that helps identify high-risk patients early so that doctors can take steps to improve their chances.

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 better way to identify high-risk heart surgery patients, helping doctors take precautions to reduce deaths.
What could go wrong: This is a small, retrospective study using existing records, not a controlled trial. The fuzzy logic model may not work in other hospitals or countries.

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

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Conditions

The condition(s) this trial relates to.

cardiovascular disorder coronary artery disorder

As listed by the trial registrant

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

ANESTHESIA CARDIOVASCULAR COMPLICATION CARDIOVASCULAR DISEASES

Contacts and locations

Locations

Istanbul University-Cerrahpaşa

Istanbul, Turkey (Türkiye)

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