NCT05354661

Brief Summary

Background Intraoperative hypotension is associated with increased morbidity and mortality. The Hypotension Prediction Index (HPI) is an advancement of the arterial waveform analysis to predict intraoperative hypotension minutes before episodes occur enabling preventive treatments. This study will test the hypothesis that a hemodynamic treatment protocol based on HPI working with non-invasive ClearSight system reduces intraoperative hypotension when compared to standard goal directed therapy (GDT) in patients undergoing gynaecologic oncologic surgery. Methods A retrospective analysis of 68 adult consecutive patients undergoing gynaecologic oncologic surgery with non-invasive arterial pressure monitoring using either index guidance (HPI) or classic ClearSight system waveform analysis depending on availability (ClearSight, n = 36; HPI, n = 32) will be conducted. A hemodynamic GDT protocol was applied in both groups. The primary endpoint will be the incidence and duration of hypotensive events defined as MAP \<65 mmHg evaluated by time-weighted average of hypotension.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
68

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Dec 2019

Typical duration 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

December 1, 2019

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 1, 2020

Completed
2.2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2022

Completed
25 days until next milestone

First Submitted

Initial submission to the registry

April 26, 2022

Completed
3 days until next milestone

First Posted

Study publicly available on registry

April 29, 2022

Completed
Last Updated

May 31, 2022

Status Verified

April 1, 2022

Enrollment Period

2 months

First QC Date

April 26, 2022

Last Update Submit

May 25, 2022

Conditions

Outcome Measures

Primary Outcomes (1)

  • Cumulative Intraoperative Hypotension

    Comparison, in the two groups, of the amount of intraoperative hypotension (MAP \< 65 mmHg), measured with TWAMAP method.

    At the end of surgery

Study Arms (2)

Hypotension Prediction Index (HPI) group

Hemodinamic monitoring with HPI working with ClearSight

Device: Hypotension Prediction Index

Control group

Hemodinamic monitoring with classic ClearSight

Interventions

treatment of hypotension before the appearance following HPI algorithm

Hypotension Prediction Index (HPI) group

Eligibility Criteria

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

Patients underwent gynaecologic oncologic surgery between december 2019 and february 2020

You may qualify if:

  • Gynecologic Oncologic surgery procedures

You may not qualify if:

  • Severe valvulopathy
  • Cardiac failure
  • Severe aortic stenosis
  • Severe cardiac arrhythmias
  • Coagulopathy
  • Contraindication to arterial calculation
  • Patient's refusal

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

IRCCS Policlinico Agostino Gemelli

Rome, 00168, Italy

Location

Related Publications (28)

  • Bijker JB, van Klei WA, Kappen TH, van Wolfswinkel L, Moons KG, Kalkman CJ. Incidence of intraoperative hypotension as a function of the chosen definition: literature definitions applied to a retrospective cohort using automated data collection. Anesthesiology. 2007 Aug;107(2):213-20. doi: 10.1097/01.anes.0000270724.40897.8e.

  • Vernooij LM, van Klei WA, Machina M, Pasma W, Beattie WS, Peelen LM. Different methods of modelling intraoperative hypotension and their association with postoperative complications in patients undergoing non-cardiac surgery. Br J Anaesth. 2018 May;120(5):1080-1089. doi: 10.1016/j.bja.2018.01.033. Epub 2018 Mar 21.

  • An R, Pang QY, Liu HL. Association of intra-operative hypotension with acute kidney injury, myocardial injury and mortality in non-cardiac surgery: A meta-analysis. Int J Clin Pract. 2019 Oct;73(10):e13394. doi: 10.1111/ijcp.13394. Epub 2019 Sep 11.

  • 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.

  • 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.

  • Scholz AF, Oldroyd C, McCarthy K, Quinn TJ, Hewitt J. Systematic review and meta-analysis of risk factors for postoperative delirium among older patients undergoing gastrointestinal surgery. Br J Surg. 2016 Jan;103(2):e21-8. doi: 10.1002/bjs.10062. Epub 2015 Dec 16.

  • Bijker JB, Persoon S, Peelen LM, Moons KG, Kalkman CJ, Kappelle LJ, van Klei WA. Intraoperative hypotension and perioperative ischemic stroke after general surgery: a nested case-control study. Anesthesiology. 2012 Mar;116(3):658-64. doi: 10.1097/ALN.0b013e3182472320.

  • Ahuja S, Mascha EJ, Yang D, Maheshwari K, Cohen B, Khanna AK, Ruetzler K, Turan A, Sessler DI. Associations of Intraoperative Radial Arterial Systolic, Diastolic, Mean, and Pulse Pressures with Myocardial and Acute Kidney Injury after Noncardiac Surgery: A Retrospective Cohort Analysis. Anesthesiology. 2020 Feb;132(2):291-306. doi: 10.1097/ALN.0000000000003048.

  • Mascha EJ, Yang D, Weiss S, Sessler DI. Intraoperative Mean Arterial Pressure Variability and 30-day Mortality in Patients Having Noncardiac Surgery. Anesthesiology. 2015 Jul;123(1):79-91. doi: 10.1097/ALN.0000000000000686.

  • Walsh M, Devereaux PJ, Garg AX, Kurz A, Turan A, Rodseth RN, Cywinski J, Thabane L, Sessler DI. Relationship between intraoperative mean arterial pressure and clinical outcomes after noncardiac surgery: toward an empirical definition of hypotension. Anesthesiology. 2013 Sep;119(3):507-15. doi: 10.1097/ALN.0b013e3182a10e26.

  • Mathis MR, Naik BI, Freundlich RE, Shanks AM, Heung M, Kim M, Burns ML, Colquhoun DA, Rangrass G, Janda A, Engoren MC, Saager L, Tremper KK, Kheterpal S, Aziz MF, Coffman T, Durieux ME, Levy WJ, Schonberger RB, Soto R, Wilczak J, Berman MF, Berris J, Biggs DA, Coles P, Craft RM, Cummings KC, Ellis TA 2nd, Fleishut PM, Helsten DL, Jameson LC, van Klei WA, Kooij F, LaGorio J, Lins S, Miller SA, Molina S, Nair B, Paganelli WC, Peterson W, Tom S, Wanderer JP, Wedeven C; Multicenter Perioperative Outcomes Group Investigators. Preoperative Risk and the Association between Hypotension and Postoperative Acute Kidney Injury. Anesthesiology. 2020 Mar;132(3):461-475. doi: 10.1097/ALN.0000000000003063.

  • Suehiro K, Tanaka K, Mikawa M, Uchihara Y, Matsuyama T, Matsuura T, Funao T, Yamada T, Mori T, Nishikawa K. Improved Performance of the Fourth-Generation FloTrac/Vigileo System for Tracking Cardiac Output Changes. J Cardiothorac Vasc Anesth. 2015;29(3):656-62. doi: 10.1053/j.jvca.2014.07.022. Epub 2014 Nov 14.

  • Kouz K, Scheeren TWL, de Backer D, Saugel B. Pulse Wave Analysis to Estimate Cardiac Output. Anesthesiology. 2021 Jan 1;134(1):119-126. doi: 10.1097/ALN.0000000000003553. No abstract available.

  • 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.

  • Gehlen J, Klaschik S, Neumann C, Keyver-Paik MD, Mustea A, Soehle M, Frede S, Velten M, Hoeft A, Hilbert T. Dynamic changes of angiopoietins and endothelial nitric oxide supply during fluid resuscitation for major gyn-oncological surgery: a prospective observation. J Transl Med. 2020 Jan 31;18(1):48. doi: 10.1186/s12967-020-02236-9.

  • Bossy M, Nyman M, Madhuri TK, Tailor A, Chatterjee J, Butler-Manuel S, Ellis P, Feldheiser A, Creagh-Brown B. The need for post-operative vasopressor infusions after major gynae-oncologic surgery within an ERAS (Enhanced Recovery After Surgery) pathway. Perioper Med (Lond). 2020 Sep 7;9:26. doi: 10.1186/s13741-020-00158-0. eCollection 2020.

  • Frizzell JD, Liang L, Schulte PJ, Yancy CW, Heidenreich PA, Hernandez AF, Bhatt DL, Fonarow GC, Laskey WK. Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches. JAMA Cardiol. 2017 Feb 1;2(2):204-209. doi: 10.1001/jamacardio.2016.3956.

  • Pinsky MR. Complexity modeling: identify instability early. Crit Care Med. 2010 Oct;38(10 Suppl):S649-55. doi: 10.1097/CCM.0b013e3181f24484.

  • Guillame-Bert M, Dubrawski A, Wang D, Hravnak M, Clermont G, Pinsky MR. Learning temporal rules to forecast instability in continuously monitored patients. J Am Med Inform Assoc. 2017 Jan;24(1):47-53. doi: 10.1093/jamia/ocw048. Epub 2016 Jun 6.

  • 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.

  • Davies SJ, Vistisen ST, Jian Z, Hatib F, Scheeren TWL. Ability of an Arterial Waveform Analysis-Derived Hypotension Prediction Index to Predict Future Hypotensive Events in Surgical Patients. Anesth Analg. 2020 Feb;130(2):352-359. doi: 10.1213/ANE.0000000000004121.

  • Nuttall G, Burckhardt J, Hadley A, Kane S, Kor D, Marienau MS, Schroeder DR, Handlogten K, Wilson G, Oliver WC. Surgical and Patient Risk Factors for Severe Arterial Line Complications in Adults. Anesthesiology. 2016 Mar;124(3):590-7. doi: 10.1097/ALN.0000000000000967.

  • Ameloot K, Palmers PJ, Malbrain ML. The accuracy of noninvasive cardiac output and pressure measurements with finger cuff: a concise review. Curr Opin Crit Care. 2015 Jun;21(3):232-9. doi: 10.1097/MCC.0000000000000198.

  • Saugel B, Hoppe P, Nicklas JY, Kouz K, Korner A, Hempel JC, Vos JJ, Schon G, Scheeren TWL. Continuous noninvasive pulse wave analysis using finger cuff technologies for arterial blood pressure and cardiac output monitoring in perioperative and intensive care medicine: a systematic review and meta-analysis. Br J Anaesth. 2020 Jul;125(1):25-37. doi: 10.1016/j.bja.2020.03.013. Epub 2020 May 29.

  • Maheshwari K, Buddi S, Jian Z, Settels J, Shimada T, Cohen B, Sessler DI, Hatib F. Performance of the Hypotension Prediction Index with non-invasive arterial pressure waveforms in non-cardiac surgical patients. J Clin Monit Comput. 2021 Feb;35(1):71-78. doi: 10.1007/s10877-020-00463-5. Epub 2020 Jan 27.

  • Wijnberge M, van der Ster BJP, Geerts BF, de Beer F, Beurskens C, Emal D, Hollmann MW, Vlaar APJ, Veelo DP. Clinical performance of a machine-learning algorithm to predict intra-operative hypotension with noninvasive arterial pressure waveforms: A cohort study. Eur J Anaesthesiol. 2021 Jun 1;38(6):609-615. doi: 10.1097/EJA.0000000000001521.

  • 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.

  • Maheshwari K, Khanna S, Bajracharya GR, Makarova N, Riter Q, Raza S, Cywinski JB, Argalious M, Kurz A, Sessler DI. A Randomized Trial of Continuous Noninvasive Blood Pressure Monitoring During Noncardiac Surgery. Anesth Analg. 2018 Aug;127(2):424-431. doi: 10.1213/ANE.0000000000003482.

MeSH Terms

Conditions

Hypotension

Condition Hierarchy (Ancestors)

Vascular DiseasesCardiovascular Diseases

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

April 26, 2022

First Posted

April 29, 2022

Study Start

December 1, 2019

Primary Completion

February 1, 2020

Study Completion

April 1, 2022

Last Updated

May 31, 2022

Record last verified: 2022-04

Data Sharing

IPD Sharing
Will not share

Locations