Ability of Hypotension Prediction Index to Predict Hypotension Events in Thoracic Surgery
Ability of Hypotension Prediction Index to Predict Future Hypotension Events in Each Phase of Thoracic Surgery: an Observational Pilot Study
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Chen-Tse Lee, MD
- Phone Number: 0972653169
- Email: lctbrian314@gmail.com
Study Locations
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-
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Taipei, Taiwan, 100
- National Taiwan University Hospital
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- adults undergoing scheduled VATS surgery
Exclusion Criteria:
- pregnant women
- patients in intensive care units
- patients with the underlying disease including respiratory failure(FEV1/FVC < 70 % and FEV1 < 50%), heart failure(NYHA score =III、IV), kidney failure(eGFR< 60 ml.min-1.1.73m-2), liver failure
- patients with ongoing infection
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Observation
monitor intraoperative hypotension prediction index as well as hemodynamic variables to exam the ability in predicting hypotension events of each variable
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monitor intraoperative hypotension prediction index as well as hemodynamic variables to exam the ability in predicting hypotension events of each variable
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
ability of hypotension prediction index in predicting hypotension events
Time Frame: 3 hours
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to calculate the sensitivity/specificity and AUROC of hypotension prediction index in predicting hypotension events
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3 hours
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
ability of dynamic parameters in predicting hypotension events
Time Frame: 3 hours
|
to calculate the sensitivity/specificity and AUROC of dynamic parameters in predicting hypotension events
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3 hours
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: Chun-Yu Wu, Ph.D., National Taiwan University Hospital
Publications and helpful links
General Publications
- Hatib F, Jian Z, Buddi S, Lee C, Settels J, Sibert K, Rinehart J, Cannesson M. Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis. Anesthesiology. 2018 Oct;129(4):663-674. doi: 10.1097/ALN.0000000000002300.
- Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P, Schenk J, Terwindt LE, Hollmann MW, Vlaar AP, Veelo DP. Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial. JAMA. 2020 Mar 17;323(11):1052-1060. doi: 10.1001/jama.2020.0592.
- Monk TG, Bronsert MR, Henderson WG, Mangione MP, Sum-Ping ST, Bentt DR, Nguyen JD, Richman JS, Meguid RA, Hammermeister KE. Association between Intraoperative Hypotension and Hypertension and 30-day Postoperative Mortality in Noncardiac Surgery. Anesthesiology. 2015 Aug;123(2):307-19. doi: 10.1097/ALN.0000000000000756. Erratum In: Anesthesiology. 2016 Mar;124(3):741-2. doi: 10.1097/01.anes.0000479922.33134.89.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 202109061RIND
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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