NCT06097052

Brief Summary

Intraoperative hypotension (IOH) is a sudden clinical phenomenon that occurs frequently during general anesthesia. Prevention of IOH has been linked to reduced postoperative organ damage and decreased incidence of perioperative complications. Oncological patients with reduced preoperative physiological reserves may be especially vulnerable to IOH deleterious effects, especially when exposed to prolonged surgical time increase, as it is the case for patients undergoing pancreatic surgery. The investigators aim to study introduction of a new technology able to predict hypotensive events (Hypotension Predictive Index, HPI Acumen™) in terms of its effects on IOH occurrence and burden in patients undergoing pancreatic surgery. The investigators will enroll patients before and after the introduction of HPI monitoring. Further, differences in postoperative outcomes and perioperative complications between before and after populations will be investigated.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
48

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started May 2023

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

May 23, 2023

Completed
5 months until next milestone

First Submitted

Initial submission to the registry

October 17, 2023

Completed
7 days until next milestone

First Posted

Study publicly available on registry

October 24, 2023

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2023

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

January 31, 2024

Completed
Last Updated

March 6, 2024

Status Verified

March 1, 2024

Enrollment Period

6 months

First QC Date

October 17, 2023

Last Update Submit

March 4, 2024

Conditions

Keywords

hypotensionperioperativecomplicationshemodynamic

Outcome Measures

Primary Outcomes (1)

  • Time-weighted average of Mean Arterial Pressure < 65mmHg

    Area under the threshold of MAP 65mmHg normalized for the total duration of surgery in minutes

    intraoperative

Secondary Outcomes (11)

  • Average intraoperative Mean Arterial Pressure

    intraoperative

  • Frequency of hypotensive events

    intraoperative

  • Average absolute time spent during Mean Arterial Pressure < 65mmHg

    intraoperative

  • Time-weighted average of Mean Arterial Pressure < 55mmHg

    intraoperative

  • Time-weighted average of Mean Arterial Pressure > 100mmHg

    intraoperative

  • +6 more secondary outcomes

Study Arms (2)

FloTrac

Subject received standard advanced hemodynamic monitoring. Hypotensive episodes were treated using a reactive approach.

HPI

Subject were monitored using the hypotension predictive index coupled with standard advanced hemodynamic monitoring. Hypotensive episodes were treated using a proactive approach.

Device: Hypotension Predictive Index

Interventions

Introduction of Hypotension Predictive index and transition from a reactive to a proactive approach of intraoperative hypotension treatment.

HPI

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Subjects undergoing general anesthesia for elective pancreatic surgery consecutively recruited before and after the introduction of Hypotension Predictive Index technology.

You may qualify if:

  • Subjects aged 18 years or older.
  • Subjects scheduled for major open pancreatic surgery.
  • Subjects monitored with FloTrac or HPI invasive arterial blood pressure monitoring.
  • Total surgical time \> 360min.

You may not qualify if:

  • Subjects aged 90 years or older
  • Subjects classified as ASA IV/V/VI
  • Subjects undergoing urgent or emergency surgery

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Istituto Clinico Humanitas

Rozzano, Lombardy, 20089, Italy

Location

Related Publications (11)

  • Augustin T, Burstein MD, Schneider EB, Morris-Stiff G, Wey J, Chalikonda S, Walsh RM. Frailty predicts risk of life-threatening complications and mortality after pancreatic resections. Surgery. 2016 Oct;160(4):987-996. doi: 10.1016/j.surg.2016.07.010. Epub 2016 Aug 18.

    PMID: 27545992BACKGROUND
  • Frassanito L, Giuri PP, Vassalli F, Piersanti A, Longo A, Zanfini BA, Catarci S, Fagotti A, Scambia G, Draisci G. Hypotension Prediction Index with non-invasive continuous arterial pressure waveforms (ClearSight): clinical performance in Gynaecologic Oncologic Surgery. J Clin Monit Comput. 2022 Oct;36(5):1325-1332. doi: 10.1007/s10877-021-00763-4. Epub 2021 Oct 7.

    PMID: 34618291BACKGROUND
  • Futier E, Lefrant JY, Guinot PG, Godet T, Lorne E, Cuvillon P, Bertran S, Leone M, Pastene B, Piriou V, Molliex S, Albanese J, Julia JM, Tavernier B, Imhoff E, Bazin JE, Constantin JM, Pereira B, Jaber S; INPRESS Study Group. Effect of Individualized vs Standard Blood Pressure Management Strategies on Postoperative Organ Dysfunction Among High-Risk Patients Undergoing Major Surgery: A Randomized Clinical Trial. JAMA. 2017 Oct 10;318(14):1346-1357. doi: 10.1001/jama.2017.14172.

    PMID: 28973220BACKGROUND
  • 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: 29894315BACKGROUND
  • Pecorelli N, Capretti G, Sandini M, Damascelli A, Cristel G, De Cobelli F, Gianotti L, Zerbi A, Braga M. Impact of Sarcopenic Obesity on Failure to Rescue from Major Complications Following Pancreaticoduodenectomy for Cancer: Results from a Multicenter Study. Ann Surg Oncol. 2018 Jan;25(1):308-317. doi: 10.1245/s10434-017-6216-5. Epub 2017 Nov 7.

    PMID: 29116490BACKGROUND
  • Salmasi V, Maheshwari K, Yang D, Mascha EJ, Singh A, Sessler DI, Kurz A. Relationship between Intraoperative Hypotension, Defined by Either Reduction from Baseline or Absolute Thresholds, and Acute Kidney and Myocardial Injury after Noncardiac Surgery: A Retrospective Cohort Analysis. Anesthesiology. 2017 Jan;126(1):47-65. doi: 10.1097/ALN.0000000000001432.

    PMID: 27792044BACKGROUND
  • Schneck E, Schulte D, Habig L, Ruhrmann S, Edinger F, Markmann M, Habicher M, Rickert M, Koch C, Sander M. Hypotension Prediction Index based protocolized haemodynamic management reduces the incidence and duration of intraoperative hypotension in primary total hip arthroplasty: a single centre feasibility randomised blinded prospective interventional trial. J Clin Monit Comput. 2020 Dec;34(6):1149-1158. doi: 10.1007/s10877-019-00433-6. Epub 2019 Nov 29.

    PMID: 31784852BACKGROUND
  • Solares GJ, Garcia D, Monge Garcia MI, Crespo C, Rabago JL, Iglesias F, Larraz E, Zubizarreta I, Rabanal JM. Real-world outcomes of the hypotension prediction index in the management of intraoperative hypotension during non-cardiac surgery: a retrospective clinical study. J Clin Monit Comput. 2023 Feb;37(1):211-220. doi: 10.1007/s10877-022-00881-7. Epub 2022 Jun 2.

    PMID: 35653007BACKGROUND
  • van der Ven WH, Veelo DP, Wijnberge M, van der Ster BJP, Vlaar APJ, Geerts BF. One of the first validations of an artificial intelligence algorithm for clinical use: The impact on intraoperative hypotension prediction and clinical decision-making. Surgery. 2021 Jun;169(6):1300-1303. doi: 10.1016/j.surg.2020.09.041. Epub 2020 Dec 11.

    PMID: 33309616BACKGROUND
  • 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.

    PMID: 30236233BACKGROUND
  • 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: 32065827BACKGROUND

MeSH Terms

Conditions

Hypotension

Condition Hierarchy (Ancestors)

Vascular DiseasesCardiovascular Diseases

Study Officials

  • Federico Piccioni

    Istituto Clinico Humanitas

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Head of Anesthesia section 1

Study Record Dates

First Submitted

October 17, 2023

First Posted

October 24, 2023

Study Start

May 23, 2023

Primary Completion

December 1, 2023

Study Completion

January 31, 2024

Last Updated

March 6, 2024

Record last verified: 2024-03

Locations