Smart tool aims to predict safe blood pressure for each surgery patient

NCT ID NCT07156474

Ongoing Knowledge-focused Sponsor: Lanyue Zhu Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Aug 07, 2026 · Updated 3 times

Summary

This study looks at data from over 44,000 patients to find the best way to manage blood pressure during surgery and prevent kidney damage. Researchers will build a computer model that predicts a safe blood pressure target for each individual patient. The goal is to give doctors a personalized guide to keep kidneys healthy during an operation.

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 personalized tool that helps doctors set safe blood pressure targets during surgery, reducing the risk of kidney damage.
What could go wrong: This is an observational study using past data, so it cannot prove cause and effect. The machine learning model may not work for all patients or in real-time during surgery.

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.

acute kidney injury

As listed by the trial registrant

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

INTRAOPERATIVE HYPOTENSION POSTOPERATIVE ACUTE KIDNEY INJURY

Contacts and locations

Locations

Zhongda Hospital Southeast University

Nanjing, Jiangsu Provincce, 210000, China

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