PEQUOD: PErfusion QUality ODds
Study Details
Study Description
Brief Summary
Cardiac surgery-associated acute kidney injury (CSA-AKI) is a frequent complication after cardiac operations with cardiopulmonary bypass (CPB) use. Its frequency varies depending on the severity grade. There are different "static" predictive scores for the CSA-AKI based on the patient and surgery-associated parameters.
Recently, in our Institution was developed a predictive algorithm for CSA-AKI that starts with a static model and then integrated with 7 CPB-associated parameters: HCT, DO2, time of exposure to a critical DO2, systemic pressure, CPB duration time, lactate value, transfusion of red blood cells (RBC), that together build a dynamic perfusion risk (DPR) associated to the CPB. Combining the static and dynamic models produces the Multifactorial Dynamic Perfusion Index (MDPI).
The present study validates MDPI in a new prospective series of patients undergoing cardiac surgery with CPB.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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Detailed Description
Cardiac surgery-associated acute kidney injury (CSA-AKI) is a frequent complication after cardiac operations with cardiopulmonary bypass (CPB) use. Its frequency varies depending on the severity grade which for the present study follows the AKIN criteria.
There are different predictive scores for the CSA-AKI based on the patient and surgery-associated parameters. These models could be defined as "static".
It's known that a number of CPB-associated parameters could influence CSA-AKI, as well. These include hematocrit (HCT), oxygen delivery (DO2), time of exposure to a critical DO2, and perfusion pressure. These parameters, taken separately, are associated with CSA-AKI development.
Recently, our Institution has developed a predictive algorithm for CSA-AKI that starts with a static model and then integrated with 7 CPB-associated parameters: HCT, DO2, time of exposure to a critical DO2, systemic pressure, CPB duration time, lactate value, transfusion of red blood cells (RBC), that together build a dynamic perfusion risk (DPR) associated to the CPB. Combining the static and dynamic models produces the Multifactorial Dynamic Perfusion Index (MDPI).
MDPI has higher discrimination power when compared to the static scores, in the original series and in the internal validation with the Bootstrap technique.
The present study validates MDPI in a new prospective series of patients undergoing cardiac surgery with CPB. An enrollment of 400 patients is anticipated with a stopping rule for efficacy at interim analysis (for primary endpoint) at 50% enrollment (200 patients) if the c-statistics for any stage of CSA-AKI reaches at least 0.75. Futility is defined as an AUC of 0.6 or lower.
Study Design
Arms and Interventions
| Arm | 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. |
Other: PEQUOD
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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Outcome Measures
Primary Outcome Measures
- Acute kidney injury [First 48 postoperative hours]
Occurence of any stage acute kidney injury as defined by the AKIN criteria
Secondary Outcome Measures
- Respiratory insufficiency [First 48 postoperative hours]
P/F ratio > 200 with radiographic evidence of pulmonary distress, if compared to the baseline by an independent radiologist
- Low cardiac output [First 48 postoperative hours]
Use of inotrope drugs for more than 48 hours and/or mechanical support
- Major morbidity [First 48 postoperative hours]
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
- Prolonged ICU stay [First 4 postoperative days]
ICu stay duration > 4 days
- Mortality [30 days after surgery]
Dead or alive status
Eligibility Criteria
Criteria
Inclusion Criteria:
-
patients undergoing cardiac surgery with cardiopulmonary bypass
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age of 18 years and higher
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willingness to participate and sign the informed consent
Exclusion Criteria:
- patients requiring preoperative dialysis
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | IRCCS Policlinico San Donato | San Donato Milanese | MI | Italy | 20097 |
Sponsors and Collaborators
- IRCCS Policlinico S. Donato
Investigators
- Principal Investigator: Marco Ranucci, MD, IRCCS Policlinico S. Donato
Study Documents (Full-Text)
None provided.More Information
Publications
- de la Hoz MA, Rangasamy V, Bastos AB, Xu X, Novack V, Saugel B, Subramaniam B. Intraoperative Hypotension and Acute Kidney Injury, Stroke, and Mortality during and outside Cardiopulmonary Bypass: A Retrospective Observational Cohort Study. Anesthesiology. 2022 Jun 1;136(6):927-939. doi: 10.1097/ALN.0000000000004175.
- Habib RH, Zacharias A, Schwann TA, Riordan CJ, Durham SJ, Shah A. Adverse effects of low hematocrit during cardiopulmonary bypass in the adult: should current practice be changed? J Thorac Cardiovasc Surg. 2003 Jun;125(6):1438-50. doi: 10.1016/s0022-5223(02)73291-1.
- Mehta RH, Grab JD, O'Brien SM, Bridges CR, Gammie JS, Haan CK, Ferguson TB, Peterson ED; Society of Thoracic Surgeons National Cardiac Surgery Database Investigators. Bedside tool for predicting the risk of postoperative dialysis in patients undergoing cardiac surgery. Circulation. 2006 Nov 21;114(21):2208-16; quiz 2208. doi: 10.1161/CIRCULATIONAHA.106.635573. Epub 2006 Nov 6.
- Ranucci M, Aloisio T, Cazzaniga A, Di Dedda U, Gallazzi C, Pistuddi V. Validation of renal-risk models for the prediction of non-renal replacement therapy cardiac surgery-associated acute kidney injury. Int J Cardiol. 2018 Dec 1;272:49-53. doi: 10.1016/j.ijcard.2018.07.114. Epub 2018 Jul 24.
- 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. 2022 Oct 28:2676591221137033. doi: 10.1177/02676591221137033. Online ahead of print.
- Ranucci M, Johnson I, Willcox T, Baker RA, Boer C, Baumann A, Justison GA, de Somer F, Exton P, Agarwal S, Parke R, Newland RF, Haumann RG, Buchwald D, Weitzel N, Venkateswaran R, Ambrogi F, Pistuddi V. Goal-directed perfusion to reduce acute kidney injury: A randomized trial. J Thorac Cardiovasc Surg. 2018 Nov;156(5):1918-1927.e2. doi: 10.1016/j.jtcvs.2018.04.045. Epub 2018 Apr 18.
- 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.
- Swaminathan M, Phillips-Bute BG, Conlon PJ, Smith PK, Newman MF, Stafford-Smith M. The association of lowest hematocrit during cardiopulmonary bypass with acute renal injury after coronary artery bypass surgery. Ann Thorac Surg. 2003 Sep;76(3):784-91; discussion 792. doi: 10.1016/s0003-4975(03)00558-7.
- 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.
- Wijeysundera DN, Karkouti K, Dupuis JY, Rao V, Chan CT, Granton JT, Beattie WS. Derivation and validation of a simplified predictive index for renal replacement therapy after cardiac surgery. JAMA. 2007 Apr 25;297(16):1801-9. doi: 10.1001/jama.297.16.1801.
- PEQUOD