NCT02984956

Brief Summary

Correct assessment of a patient's volume status is the most important goal for an anesthetist. However, most of the variables used for fluid response evaluation are invasive and technically challenging.Pulse oximeter is a non-invasive, standardized and widely used monitoring method in many countries. Our aim in this study is to investigate the usefulness of the noninvasive pleth variability index to predict hypotension in orthopedic hip fracture patients who underwent spinal anesthesia.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
100

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Dec 2016

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

December 1, 2016

Completed
3 days until next milestone

First Submitted

Initial submission to the registry

December 4, 2016

Completed
3 days until next milestone

First Posted

Study publicly available on registry

December 7, 2016

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2017

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

November 1, 2017

Completed
Last Updated

December 8, 2016

Status Verified

December 1, 2016

Enrollment Period

10 months

First QC Date

December 4, 2016

Last Update Submit

December 6, 2016

Conditions

Keywords

HypotensionPleth variability indexHip FractureSpinal anesthesia

Outcome Measures

Primary Outcomes (1)

  • Detecting pleth variability index-hypotension relationship

    one year

Secondary Outcomes (3)

  • pleth variability index response to fluid management

    one year

  • Make a differential diagnosis of hypotension with pleth variability index

    one year

  • Correlation between arterial hemoglobin and pleth variability index hemoglobin

    one year

Interventions

Eligibility Criteria

Age65 Years+
Sexall
Healthy VolunteersNo
Age GroupsOlder Adult (65+)
Sampling MethodProbability Sample
Study Population

Patients who underwent spinal anesthesia for hip fracture

You may qualify if:

  • over 65 years old
  • Patients to undergo spinal anesthesia

You may not qualify if:

  • Patients under 65 years old
  • Patients to undergo general anesthesia or only sedation
  • Patients with cardiac arrhythmia
  • Patients with low ventricular ejection fraction
  • Heart valve disease patients

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Erzincan University

Erzincan, Turkey (Türkiye)

Location

Related Publications (10)

  • Kumar A, Anel R, Bunnell E, Habet K, Zanotti S, Marshall S, Neumann A, Ali A, Cheang M, Kavinsky C, Parrillo JE. Pulmonary artery occlusion pressure and central venous pressure fail to predict ventricular filling volume, cardiac performance, or the response to volume infusion in normal subjects. Crit Care Med. 2004 Mar;32(3):691-9. doi: 10.1097/01.ccm.0000114996.68110.c9.

    PMID: 15090949BACKGROUND
  • Osman D, Ridel C, Ray P, Monnet X, Anguel N, Richard C, Teboul JL. Cardiac filling pressures are not appropriate to predict hemodynamic response to volume challenge. Crit Care Med. 2007 Jan;35(1):64-8. doi: 10.1097/01.CCM.0000249851.94101.4F.

    PMID: 17080001BACKGROUND
  • Preisman S, Kogan S, Berkenstadt H, Perel A. Predicting fluid responsiveness in patients undergoing cardiac surgery: functional haemodynamic parameters including the Respiratory Systolic Variation Test and static preload indicators. Br J Anaesth. 2005 Dec;95(6):746-55. doi: 10.1093/bja/aei262.

    PMID: 16286349BACKGROUND
  • Cannesson M, Desebbe O, Rosamel P, Delannoy B, Robin J, Bastien O, Lehot JJ. Pleth variability index to monitor the respiratory variations in the pulse oximeter plethysmographic waveform amplitude and predict fluid responsiveness in the operating theatre. Br J Anaesth. 2008 Aug;101(2):200-6. doi: 10.1093/bja/aen133. Epub 2008 Jun 2.

    PMID: 18522935BACKGROUND
  • Derichard A, Robin E, Tavernier B, Costecalde M, Fleyfel M, Onimus J, Lebuffe G, Chambon JP, Vallet B. Automated pulse pressure and stroke volume variations from radial artery: evaluation during major abdominal surgery. Br J Anaesth. 2009 Nov;103(5):678-84. doi: 10.1093/bja/aep267. Epub 2009 Sep 29.

    PMID: 19797246BACKGROUND
  • Solus-Biguenet H, Fleyfel M, Tavernier B, Kipnis E, Onimus J, Robin E, Lebuffe G, Decoene C, Pruvot FR, Vallet B. Non-invasive prediction of fluid responsiveness during major hepatic surgery. Br J Anaesth. 2006 Dec;97(6):808-16. doi: 10.1093/bja/ael250. Epub 2006 Sep 16.

    PMID: 16980709BACKGROUND
  • Cannesson M, Delannoy B, Morand A, Rosamel P, Attof Y, Bastien O, Lehot JJ. Does the Pleth variability index indicate the respiratory-induced variation in the plethysmogram and arterial pressure waveforms? Anesth Analg. 2008 Apr;106(4):1189-94, table of contents. doi: 10.1213/ane.0b013e318167ab1f.

    PMID: 18349191BACKGROUND
  • Zimmermann M, Feibicke T, Keyl C, Prasser C, Moritz S, Graf BM, Wiesenack C. Accuracy of stroke volume variation compared with pleth variability index to predict fluid responsiveness in mechanically ventilated patients undergoing major surgery. Eur J Anaesthesiol. 2010 Jun;27(6):555-61. doi: 10.1097/EJA.0b013e328335fbd1.

    PMID: 20035228BACKGROUND
  • Forget P, Lois F, de Kock M. Goal-directed fluid management based on the pulse oximeter-derived pleth variability index reduces lactate levels and improves fluid management. Anesth Analg. 2010 Oct;111(4):910-4. doi: 10.1213/ANE.0b013e3181eb624f. Epub 2010 Aug 12.

    PMID: 20705785BACKGROUND
  • Desebbe O, Boucau C, Farhat F, Bastien O, Lehot JJ, Cannesson M. The ability of pleth variability index to predict the hemodynamic effects of positive end-expiratory pressure in mechanically ventilated patients under general anesthesia. Anesth Analg. 2010 Mar 1;110(3):792-8. doi: 10.1213/ANE.0b013e3181cd6d06.

    PMID: 20185658BACKGROUND

MeSH Terms

Conditions

HypotensionHip Fractures

Condition Hierarchy (Ancestors)

Vascular DiseasesCardiovascular DiseasesFemoral FracturesFractures, BoneWounds and InjuriesHip InjuriesLeg Injuries

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
assist. prof.

Study Record Dates

First Submitted

December 4, 2016

First Posted

December 7, 2016

Study Start

December 1, 2016

Primary Completion

October 1, 2017

Study Completion

November 1, 2017

Last Updated

December 8, 2016

Record last verified: 2016-12

Data Sharing

IPD Sharing
Will not share

Locations