New model aims to predict dangerous blood pressure drop in C-Section patients
NCT ID NCT07689825
First seen Jul 08, 2026 · Last updated Jul 28, 2026 · Updated 3 times
Summary
This study aims to create a risk prediction model for low blood pressure (hypotension) after spinal anesthesia in women undergoing planned cesarean delivery. Researchers monitor heart rate, blood pressure, perfusion index, and ECG/SpO₂ waveforms before and during surgery to identify high-risk patients. The goal is to help doctors take preventive steps, such as giving medications or increasing monitoring, to protect both mother and baby.
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 help doctors identify women at high risk for dangerous blood pressure drops during C-sections, allowing early preventive care.
- What could go wrong
- This is an observational study, not a treatment trial. The prediction model may not be accurate enough for widespread use and needs further validation.
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 145 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Jul 2026
An estimate. Start dates often move.
- Expected to finish
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Jul 2027
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
Singleton pregnant women aged ≥18 years with gestational age ≥37 weeks, scheduled for cesarean section.
- Ages
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18 to 50 years
- Sex
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Female participants only
- 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: * Singleton pregnant women aged ≥18 years with gestational age ≥37 weeks, scheduled for cesarean section. * Informed consent was obtained from all participants. Exclusion Criteria: * Emergency cesarean sections or cases requiring general anesthesia. * Maternal age \< 18 years. * Major obstetric complications (e.g., placenta previa, gestational hypertension, preeclampsia) or significant cardiovascular/cerebrovascular diseases. * Body Mass Index (BMI) ≥ 36 kg/m². * Gestational age \< 36 weeks or \> 41 weeks. * Contraindications to neuraxial anesthesia. * Refusal to participate.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Peking University Shenzhen Hospital
Shenzhen, Guangdong, 518000, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Effectiveness of health educational program for primigravida women in reducing the rate of unnecessary cesarean section
- Two common drugs face off to shield mothers from a dangerous drop in blood pressure
- Can simple recovery checklists after cesarean boost patient well-being?
- Can we predict severe pain after C-Section?
- Can a slower oxytocin infusion prevent dangerous blood pressure drops in C-Sections?
- Can an AI chatbot calm nerves before a C-Section as well as a doctor?