Ability of Hypotension Prediction Index to Predict Hypotension Events in Thoracic Surgery

NCT05117151 | Completed

• 1 other identifier: 202109061RIND
• Study Type: observational
• Target: 40
• Locations: 1 country
• Sites: 1

Brief Summary

Investigators design this prospective observational study to exam the ability of hypotension prediction index in predicting intraoperative hypotension events in each phase of thoracic surgery

Conditions

Perioperative/Postoperative Complications

Outcome Measures

Primary Outcomes (1)

• ability of hypotension prediction index in predicting hypotension events

  to calculate the sensitivity/specificity and AUROC of hypotension prediction index in predicting hypotension events

  3 hours

Secondary Outcomes (1)

• ability of dynamic parameters in predicting hypotension events

  3 hours

Study Arms (1)

Observation

monitor intraoperative hypotension prediction index as well as hemodynamic variables to exam the ability in predicting hypotension events of each variable

Diagnostic Test: hypotension prediction index

Interventions

hypotension prediction index DIAGNOSTIC_TEST

monitor intraoperative hypotension prediction index as well as hemodynamic variables to exam the ability in predicting hypotension events of each variable

Observation

Eligibility Criteria

• Age: 20 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

adults undergoing scheduled VATS surgery

You may qualify if:

• adults undergoing scheduled VATS surgery

You may not qualify if:

• 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

Sponsors & Collaborators

• National Taiwan University Hospital: lead

Study Sites (1)

National Taiwan University Hospital

Taipei, 100, Taiwan

Location

Related Publications (3)

• 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.

  PMID: 26083768 BACKGROUND

• 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.

  PMID: 29894315 BACKGROUND

• 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.

  PMID: 32065827 BACKGROUND

MeSH Terms

Conditions

Postoperative Complications

Condition Hierarchy (Ancestors)

Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Chun-Yu Wu, Ph.D.

  National Taiwan University Hospital

  STUDY CHAIR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 31, 2021
• First Posted: November 11, 2021
• Study Start: March 23, 2022
• Primary Completion: August 2, 2023
• Study Completion: August 2, 2023
• Last Updated: May 1, 2025

Record last verified: 2025-04

Locations

TW (1)