Skip to content

Construction and Validation of a Machine Learning-Based Model for Predicting Dependent Arm Blood Pressure from the Non-Dependent Arm during Left Lateral Decubitus Endoscopy

Construction and Validation of a Machine Learning-Based Model for Predicting Dependent Arm Blood Pressure from the Non-Dependent Arm during Left Lateral Decubitus Endoscopy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600129113
Enrollment
Unknown
Registered
2026-07-31
Start date
2026-08-06
Completion date
Unknown
Last updated
2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Observation group:NA

Sponsors

The First Affiliated Hospital of Wenzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Patients aged 18 to 80 years who are scheduled for elective painless gastrointestinal endoscopy in the standard left lateral decubitus position; 2.classified as ASA physical status class I to III by the American Society of Anesthesiologists.

Exclusion criteria

Exclusion criteria: 1. There are absolute or relative contraindications for non-invasive blood pressure (NIBP) measurement in both upper limbs or on any one side: such as after radical mastectomy and axillary lymph node dissection, limb disability, etc.; 2. Those with severe arrhythmias (such as atrial fibrillation, frequent premature ventricular contractions, etc.) that affect the accuracy of NIBP measurement; 3. Those whose baseline difference in systolic blood pressure of both arms before surgery is > 15 mmHg when in the supine position.

Design outcomes

Primary

MeasureTime frame
Hemodynamics;

Secondary

MeasureTime frame
Patient baseline characteristics;Preoperative Laboratory Tests;Real-time cumulative dose of propofol;Preoperative fasting and drinking restriction period;Vertical height difference between both arms;

Countries

China

Contacts

Public ContactYe Yingchao

The First Affiliated Hospital of Wenzhou Medical University

yeyingchao123@163.com+86 557 55578055

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 10, 2026