- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06786416
A Monitoring System Based on the Multifactorial Dynamic Perfusion Index to Predict and Prevent the Onset of Postoperative Acute Kidney Injury After Cardiac Surgery, Based on a Dynamic Collection of Hemodynamic and Clinical Parameters During Cardiopulmonary Bypass (PEQUOD 2)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This project is based on a predictive alghorithm (Multifactorial Dynamic Perfusion Index-MDPI) already published and covered by a patent. The MDPI is based on a dynamic collection of 7 different variables during cardiopulmonary bypass (CPB) and provides a probability index for postoperative acute kidney injury. Multicenter observational prospective trial developed through 3 work packages, addressing (1) external validation of the MDPI in a series of 800 adult cardiac surgery patients collected in 2 Institutions (2) development of a novel MDPI to be applied in infants < 20 kg undergoing cardiac surgery (200 patients) and (3) verification of of other possible outcomes that may be predicted by the MDPI. Since many of the predictive variables are modifiable by the perfusionist/anesthesiologist during CPB, it is a tool that allows therapeutic manouvres. Ultimately, the MDPI will be incorporated in a dedicated monitor to provide an on-line "flight control" during CPB. Cardiac surgery associated acute kidney injury (CSA-AKI) is one of the most common postoperative complications, associated with an increased mortality risk. Several risk scores for CSA-AKI exist. They are based on preoperative risk factors and severity of the procedure. They define a static risk (SR) based on non-modifiable risk factors. As so, they do not consider intraoperative variables, that include potentially modifiable risk factors (dynamic risk, DR). In a previous study we have developed a new model for prediction of CSA-AKI that is inclusive of the SR and the DR, producing the Multifactorial Dynamic Perfusion Index (MDPI). The MDPI is based on 7 factors collected during cardiopulmonary bypass (CPB): oxygen delivery time spent on a low oxygen delivery, hematocrit, time on CPB, mean arterial pressure, transfusions and lactate values. The MDPI showed a better discrimination (AUC 0.769) than the other existing models, and a good calibration until a risk of 60%. Of notice 5 out of the 7 predictors composing the MDPI are modifiable risk factors and therefore can be considered as a ¿flight control¿, on-line measure of the quality of perfusion, to prompt interventions by the perfusionist and the anesthesiologist. The MDPI is covered by an Italian patent (n. 102022000012893) owned by the IRCCS Policlinico San Donato with Marco Ranucci as inventor. The patent covers the inclusion of the MDPI into a dedicated monitor collecting the variables on CPB and producing the MDPI. The activities are separated into 3 work-packages (WP).
WP 1: The MDPI has been developed in a single Institution. Additionally, its validation was performed on the same development series using a bootstrap technique. To make this algorithm exportable in different Institutions, a different new series of patients is required (internal validation) and a new series collected in an external Institution (external validation). Additionally, it cannot be excluded that additional risk factors may be identified and included in the MDPI algorithm; moreover, there is the hypothesis that other outcome measures of morbidity and even mortality may be predicted by the MDPI. WP 1 includes the operative Units 1 and 2 and is based on the collection of a new series of consecutive adult patients requiring cardiac surgery with CPB. The study protocol has been already submitted to the Ethics Committee (166/int/2022) and Clinical Trial. Gov for the internal validation at the operative unit 1 and includes 400 patients. An additional amount of 400 patients will be collected at the operative unit 2. In this series, the MDPI parameters will be collected and assessed for discrimination and calibration properties in predicting CSA-AKI (defined as AKI of any kind, AKI stage and AKI stage 2 or greater). Appropriate tools will be applied to define discrimination (ROC analysis) and calibration (calibration plot using LOWESS) properties of the MDPI. This WP is essentially a validation of the existing MDPI as patented by IRCCS Policlinico San Donato WP2: The MDPI has been develop in the adult patient population. There is little information available in the literature about the CSA-AKI risk factors in infants and newborns weighing < 20 kgs. However, CSA-AKI in this segment of population is present at a rate that is equal or even higher than in the adults. It can be hypothesized that above 20 kgs, the patient is probably comparable to the adult patient, whereas there is a gap in knowledge in infants and newborns. WP2 is intended to cover this gap in knowledge by addressing a series of 200 patients weighing < 20 kgs and receiving cardiac surgery with CPB for palliation or correction of congenital heart defects, producing an MDPI for infants (I MDPI). This WP will be totally performed at the operative unit 2, that is the largest congenital heart center in Italy. A new patent on the I-MDPI is anticipated.
WP3: This WP is based on the same patient population of WP 1, but has a complementary aim. It is in fact possible that (a) other factors apart from the seven included in the MDPI may be associated with CSA-AKI, therefore deserving to be included in the model (MDPI 2.0) and (b) other outcomes, and namely 30-days mortality may be predicted by the MDPI. Once defined these aims, this WP (that includes the 2 operative units) includes the preliminary steps for the implementation of the MDPI into existing or newly developed monitoring systems for CPB. Dedicated patents are anticipated for MDPI 2.0.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Marco Ranucci, Medicine and Surgery
- Phone Number: 0252774754
- Email: marco.ranucci@grupposandonato.it
Study Contact Backup
- Name: Martina Anguissola, Medical Biotechnologies
- Phone Number: 0252774754
- Email: martina.anguissola@rupposandonato.it
Study Locations
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Milano
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San Donato Milanese, Milano, Italy, 20097
- Recruiting
- IRCCS Policlinico San Donato
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Contact:
- Martina Anguissola, Medical Biotechnologies
- Phone Number: 0252774754
- Email: martina.anguissola@rupposandonato.it
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Contact:
- Marco Ranucci, Medicine and Surgery
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- patients undergoing cardiac surgery with cardiopulmonary bypass
- patients >18 years for WP1 and WP3; patients <6 years and weight <20 kg for WP2
- willingness to participate and sign the informed consent
Exclusion Criteria:
- chronic renal failure on dyalisis for WP1 and WP3
- emergency surgery for all WP
- refusal to partecipate
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
PEQUOD
Patients undergoing cardiac surgery with cardiopulmonary bypass whose parameters of interest will be registered during cardiopulmonary bypass by the Livanova BE-CAPTA monitor.
|
During cardiopulmonary bypass registration of the parameters of interest by the Livanova BE-CAPTA monitor.
After surgery, registration of creatinine values up to 48 postoperative hours.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of patients with postoperative acute kidney injury
Time Frame: First 48 postoperative hours
|
Occurence of any stage acute kidney injury as defined by the AKIN criteria for adults and KDIGO criteria for infants
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First 48 postoperative hours
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of patients with postoperative low cardiac output
Time Frame: First 48 postoperative hours
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Use of inotrope drugs for more than 48 hours and/or mechanical support
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First 48 postoperative hours
|
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Number of patients experiencing postoperative major morbidity
Time Frame: First 48 postoperative hours
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As defined by STS criteria as one or more of the following items: AKI stage 2, stroke, mechanical ventilation duration > 48 hours, sepsis, surgical re-exploration
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First 48 postoperative hours
|
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Number of patients who needed prolonged ICU stay
Time Frame: First 4 postoperative days
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ICU stay duration > 4 days
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First 4 postoperative days
|
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Number of deceased patients
Time Frame: 30 days after surgery
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Dead or alive status
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30 days after surgery
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Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Chertow GM, Levy EM, Hammermeister KE, Grover F, Daley J. Independent association between acute renal failure and mortality following cardiac surgery. Am J Med. 1998 Apr;104(4):343-8. doi: 10.1016/s0002-9343(98)00058-8.
- Thakar CV, Arrigain S, Worley S, Yared JP, Paganini EP. A clinical score to predict acute renal failure after cardiac surgery. J Am Soc Nephrol. 2005 Jan;16(1):162-8. doi: 10.1681/ASN.2004040331. Epub 2004 Nov 24.
- Pickering JW, James MT, Palmer SC. Acute kidney injury and prognosis after cardiopulmonary bypass: a meta-analysis of cohort studies. Am J Kidney Dis. 2015 Feb;65(2):283-93. doi: 10.1053/j.ajkd.2014.09.008. Epub 2014 Nov 5.
- Ranucci M, Pavesi M, Mazza E, Bertucci C, Frigiola A, Menicanti L, Ditta A, Boncilli A, Conti D. Risk factors for renal dysfunction after coronary surgery: the role of cardiopulmonary bypass technique. Perfusion. 1994;9(5):319-26. doi: 10.1177/026765919400900503.
- Ranucci M, Romitti F, Isgro G, Cotza M, Brozzi S, Boncilli A, Ditta A. Oxygen delivery during cardiopulmonary bypass and acute renal failure after coronary operations. Ann Thorac Surg. 2005 Dec;80(6):2213-20. doi: 10.1016/j.athoracsur.2005.05.069.
- Rasmussen SR, Kandler K, Nielsen RV, Cornelius Jakobsen P, Knudsen NN, Ranucci M, Christian Nilsson J, Ravn HB. Duration of critically low oxygen delivery is associated with acute kidney injury after cardiac surgery. Acta Anaesthesiol Scand. 2019 Nov;63(10):1290-1297. doi: 10.1111/aas.13457. Epub 2019 Sep 10.
- Karkouti K, Wijeysundera DN, Yau TM, Beattie WS, Abdelnaem E, McCluskey SA, Ghannam M, Yeo E, Djaiani G, Karski J. The independent association of massive blood loss with mortality in cardiac surgery. Transfusion. 2004 Oct;44(10):1453-62. doi: 10.1111/j.1537-2995.2004.04144.x.
- Brown JK, Shaw AD, Mythen MG, Guzzi L, Reddy VS, Crisafi C, Engelman DT; PeriOperative Quality Initiative and the Enhanced Recovery After Surgery Cardiac Workgroup. Adult Cardiac Surgery-Associated Acute Kidney Injury: Joint Consensus Report. J Cardiothorac Vasc Anesth. 2023 Sep;37(9):1579-1590. doi: 10.1053/j.jvca.2023.05.032. Epub 2023 May 23.
- Bartoszko J, Karkouti K. Managing the coagulopathy associated with cardiopulmonary bypass. J Thromb Haemost. 2021 Mar;19(3):617-632. doi: 10.1111/jth.15195. Epub 2020 Dec 17.
- Sanaiha Y, Hadaya J, Verma A, Shemin RJ, Madani M, Young N, Deuse T, Sun J, Benharash P; University of California Cardiac Surgery Consortium. Morbidity and Mortality Associated With Blood Transfusions in Elective Adult Cardiac Surgery. J Cardiothorac Vasc Anesth. 2023 Sep;37(9):1591-1598. doi: 10.1053/j.jvca.2022.11.012. Epub 2022 Nov 17.
- Lee JH, Jung JY, Park SW, Song IK, Kim EH, Kim HS, Kim JT. Risk factors of acute kidney injury in children after cardiac surgery. Acta Anaesthesiol Scand. 2018 Nov;62(10):1374-1382. doi: 10.1111/aas.13210. Epub 2018 Jul 11.
- Zhang Y, Wang B, Zhou XJ, Guo LJ, Zhou RH. Nadir Oxygen Delivery During Pediatric Bypass as a Predictor of Acute Kidney Injury. Ann Thorac Surg. 2022 Feb;113(2):647-653. doi: 10.1016/j.athoracsur.2021.01.026. Epub 2021 Jan 29.
- Puzanov A, Tkachuk V, Maksymenko A. Acute kidney injury after arterial switch operation: incidence, risk factors, clinical impact - a retrospective single-center study. Ren Fail. 2023 Dec;45(1):2167661. doi: 10.1080/0886022X.2023.2167661.
- Levey AS, Levin A, Kellum JA. Definition and classification of kidney diseases. Am J Kidney Dis. 2013 May;61(5):686-8. doi: 10.1053/j.ajkd.2013.03.003. No abstract available.
- Ranucci M, Di Dedda U, Cotza M, Zamalloa Moreano K. The multifactorial dynamic perfusion index: A predictive tool of cardiac surgery associated acute kidney injury. Perfusion. 2024 Jan;39(1):201-209. doi: 10.1177/02676591221137033. Epub 2022 Oct 28.
- Fang WC, Helm RE, Krieger KH, Rosengart TK, DuBois WJ, Sason C, Lesser ML, Isom OW, Gold JP. Impact of minimum hematocrit during cardiopulmonary bypass on mortality in patients undergoing coronary artery surgery. Circulation. 1997 Nov 4;96(9 Suppl):II-194-9.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PEQUOD 2/PNRR-POC-2023-1237702
- PNRR-POC-2023-1237702 (Other Grant/Funding Number: Italian Ministery of Health)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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