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New AI could predict dangerous blood pressure drops in C-Sections

NCT ID NCT06158542

Knowledge-focused Sponsor: Hacettepe University Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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

Summary

This study aimed to create an artificial intelligence algorithm that can predict which patients are at risk of low blood pressure after receiving spinal anesthesia for a cesarean section. Researchers collected data from 370 patients, including their medical history, demographics, and blood test results. They then used machine learning to develop and test an algorithm that could help doctors prepare for and prevent this common complication.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Artificial intelligence algorithm
What this could lead to
If successful, this algorithm could help doctors identify high-risk patients before spinal anesthesia, potentially reducing complications during cesarean sections.
What could go wrong
This is a completed study, but the algorithm's accuracy and real-world usefulness need further testing in different hospitals and patient groups.

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

370 people

The number who actually took part.

Started

Feb 2023

Finished

Dec 2023

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

The pregnant women at the delivery ward of Hacettepe University Hospital who have undergone a decision for cesarean section

Ages

18 years and older

Sex

Female participants only

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: * Being 18 years or older * Having an American Society of Anesthesiologists (ASA) physical status of I, II, or III * Gestational age of 37 weeks or more * Having undergone spinal or combined spinal-epidural anesthesia Exclusion Criteria: * Patient's unwillingness to participate in the study * Multiple pregnancies * Emergency cesarean section * Preeclampsia * Preoperatively measured systolic blood pressure equal to or greater than 140mmHg (hypertensive pregnant woman) * Having a contraindication to spinal anesthesia or experiencing spinal anesthesia failure

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Conditions

The condition(s) this trial relates to.

hypotensive disorder

As listed by the trial registrant

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

Caeserian section Spinal anesthesia-induced hypotension

Contacts and locations

Locations

  • Hacettepe University Hospitals

    Ankara, Altındağ, 06230, Turkey (Türkiye)

More trials for these conditions

Other studies related to the condition(s) this trial covers.