Fluid Responsiveness Using Forehead Sensor in Children (forehead)

May 7, 2019 updated by: Hee-Soo Kim, Seoul National University Hospital

Study on TFA-1 Adhesive Forehead Sensors to Predict Fluid Responsiveness in Pediatric Patients Undergoing General Anesthesia

Forehead sensor can predict the more accurate fluid responsiveness than finger sensor in children

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

The investigator hypothesized that the forehead sensor can predict the fluid responsiveness more accurate than the finger sensor in pediatric patients.

Study Type

Interventional

Enrollment (Actual)

30

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

1 year to 6 years (Child)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • pediatric patients undergoing general anesthesia for neurosurgery, major abdominal surgery, and cardiac surgical procedures.

Exclusion Criteria:

  • preoperative Ejection fraction <30%
  • underlying lung disease
  • cardiac arrhythmia

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Device Feasibility
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: hypovolemia
Other: fluid resuscitation
when the patients showed the clinical signs of hypovolemia, the fluid resuscitation with 10ml/kg crystalloid solution was performed.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Area under the Receiver operating characteristic(ROC) curve (AUC)
Time Frame: before fluid resuscitation
the predictability of fluid responsiveness was calculated using ROC analysis
before fluid resuscitation

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Seoul National University Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2017

Primary Completion (Actual)

June 30, 2018

Study Completion (Actual)

August 31, 2018

Study Registration Dates

First Submitted

April 24, 2017

First Submitted That Met QC Criteria

April 25, 2017

First Posted (Actual)

April 27, 2017

Study Record Updates

Last Update Posted (Actual)

May 9, 2019

Last Update Submitted That Met QC Criteria

May 7, 2019

Last Verified

May 1, 2019

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • H1703-137-841

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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