Clinical trial NCT05274412: Hypotension Prediction Index Based Perioperative Protocolized Hemodynamic Management in Geriatric Orthopedic Surgery
Official title: Clinical Efficacy of Hypotension Prediction Index Based Perioperative Protocolized Hemodynamic Management in Geriatric Orthopedic Surgery
Study type: INTERVENTIONAL
Overall status: UNKNOWN
Phase: NA
Conditions: Orthopedic Disorder
Hemodynamic Instability
Lead sponsor: National Taiwan University Hospital
Sponsor class: OTHER
First posted: 2022-03-10
Enrollment: 280
Sex: ALL
Minimum age (years): 60
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: PREVENTION

Brief summary: Blood pressure optimization has been considered as a crucial factor to avoid perioperative vital organ hypoperfusion, and perioperative hypotension has been addressed as a risk factor for complications and adverse clinical outcomes.

Hypotension prediction index (HPI) is an novel machine-learning derived parameters, and was developed to predict the risk of future hypotension.Series of clinical studies have verified its clinical efficacy in avoiding perioperative hypotension.

Major orthopedic surgeries, such as spine surgery, joint surgery, long bone fracture surgery, are quite common in elder people, who are vulnerable to perioperative adverse outcomes.Thus the investigator design this study to testify the clinical efficacy of implementing HPI in perioperative goal-directed hemodynamic therapy in elder patients receiving major orthopedic surgery.


Eligibility criteria: Inclusion Criteria:

* adults elder or equal to 60 years old receiving scheduled orthopedic surgery

Exclusion Criteria:

* Patients with a history of arrhythmia, congestive heart failure, preoperative neurocognitive disorder, cerebrovascular event, chronic obstructive pulmonary disease, chronic kidney disease, ongoing infectious disease, will be excluded.

Primary outcomes:
measure: Perioperative acute kidney injury
timeFrame: 24 hours
Secondary outcomes:
Other outcomes:
measure: perioperative neurocognitive disorder
timeFrame: 30 day
Locations:
city: Taipei
country: Taiwan
facility: National Taiwan University Hospital
Study officials:
affiliation: National Taiwan University Hospital
name: Chen-Tse Lee, MD
role: PRINCIPAL_INVESTIGATOR
References:
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. Anesthesiology. 2015 Aug;123(2):307-19. doi: 10.1097/ALN.0000000000000756.
citation: Wesselink EM, Kappen TH, Torn HM, Slooter AJC, van Klei WA. Intraoperative hypotension and the risk of postoperative adverse outcomes: a systematic review. Br J Anaesth. 2018 Oct;121(4):706-721. doi: 10.1016/j.bja.2018.04.036. Epub 2018 Jun 20.
citation: 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.
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 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.