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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT05117151
Other study ID # 202109061RIND
Secondary ID
Status Active, not recruiting
Phase
First received
Last updated
Start date March 23, 2022
Est. completion date December 2024

Study information

Verified date January 2024
Source National Taiwan University Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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


Description:

Hypotension prediction index is a novel introduced monitoring-tool that aims to predict hypotension events before their occurence, and has been reported to have superior predictive ability than the commonly measured perioperative hemodynamic variables. To date, there is no information regarding its ability to predict hypotension events in each phase of thoracic surgery.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 45
Est. completion date December 2024
Est. primary completion date June 2024
Accepts healthy volunteers
Gender All
Age group 20 Years and older
Eligibility 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 Design


Related Conditions & MeSH terms


Intervention

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

Locations

Country Name City State
Taiwan National Taiwan University Hospital Taipei

Sponsors (1)

Lead Sponsor Collaborator
National Taiwan University Hospital

Country where clinical trial is conducted

Taiwan, 

References & Publications (3)

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.00000000 — View Citation

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. Anesthesi — View Citation

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 Intrao — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary 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 ability of dynamic parameters in predicting hypotension events to calculate the sensitivity/specificity and AUROC of dynamic parameters in predicting hypotension events 3 hours
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