Predictive Pre and Peroperative Factors for MODS-2 in Pediatric Cardiac Surgery
FPMODS2
1 other identifier
observational
152
1 country
1
Brief Summary
Pediatric cardiac surgery has a relatively high morbi-mortality. Despite great advances in surgical techniques, today the mortality rate is about 3% and morbidity is about 30-40%. Outcome has been related to demographic factors, like age; peroperative factors, like duration of cardiopulmonary bypass as well as postoperative factors like positive fluid balance. Willems et al defined a new score (MODS2), an outcome score combining either patient's death or a high postoperative morbidity. This morbidity is defined as minimum of 2 organ failures: either respiratory insufficiency, prolonged use of inotropic agents or renal insufficiency. The aim of this study is to identify pre and peroperative factors which are predictors of MODS2. Patients operated between 2008 and 2018 for pediatric cardiac surgery with cardiopulmonary bypass will be included. Variables extracted from our database will be: sex, ASA score, cyanotic cardiac pathology, redo surgery, RACH1 score, use of antifibrinolytic agents, aortic cross-clamping, deep hypothermic circulatory arrest, selective cerebral perfusion, red cell transfusion in the operating room, administration of fresh frozen plasma in the operating room, age, preoperative weight, weight difference between preop weight and weight at postop day 2, emergency surgery, duration of aortic cross clamping, duration of selective cerebral perfusion, duration of cardiopulmonary bypass, duration off deep hypothermic circulatory arrest, duration of surgery, minimal core temperature, cardiopulmonary priming volume, calculated hemodilution, use of red blood cells in the cardiopulmonary bypass priming, preoperative hemoglobin, preoperative hematocrit, preoperative platelet count, preop international normalized ratio, preop fibrinogen, preop creatinin, toal fluid balance, blood loss during surgery. A statistical analysis (see detailed description) will be used to establish a prediction model for MODS2. The variables describing best the MODS2 outcome will be retained.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Mar 2022
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 9, 2022
CompletedFirst Posted
Study publicly available on registry
March 17, 2022
CompletedStudy Start
First participant enrolled
March 18, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
July 8, 2022
CompletedJuly 20, 2022
July 1, 2022
3 months
March 9, 2022
July 19, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
MODS2
Occurence of MODS2 (as percentage) will be extracted. A predictive model will be established from the observed preoperative and peroperative variables. A statistical analysis (see detailed description) will be used to establish a prediction model for MODS2. The variables describing best the MODS2 outcome will be retained.
28 days
Study Arms (1)
Pediatric cardiac surgery patients
Patients undergoing pediatric cardiac surgery with cardiopulmonary bypass between 2008 and 2018 at our institution.
Interventions
All patients undergoing pediatric cardiac surgery with cardiopulmonary bypass will be extracted from our database
Eligibility Criteria
All patients undergoing pediatric cardiac surgery with cardiopulmonary bypass between 2008 and 2018 at our institution
You may qualify if:
- patients undergoing pediatric cardiac surgery with cardiopulmonary bypass between 2008 and 2018 at our institution
- accepting blood transfusions
- ASA score 1-4
You may not qualify if:
- Jehova's witness
- ASA 5 status
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hôpital Universitaire des Enfants Reine Fabiola
Brussels, 1020, Belgium
Related Publications (13)
Ambler G, Omar RZ, Royston P. A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome. Stat Methods Med Res. 2007 Jun;16(3):277-98. doi: 10.1177/0962280206074466.
PMID: 17621472BACKGROUNDHickey PA, Pasquali SK, Gaynor JW, He X, Hill KD, Connor JA, Gauvreau K, Jacobs ML, Jacobs JP, Hirsch-Romano JC. Critical Care Nursing's Impact on Pediatric Patient Outcomes. Ann Thorac Surg. 2016 Oct;102(4):1375-80. doi: 10.1016/j.athoracsur.2016.03.019. Epub 2016 May 10.
PMID: 27173065BACKGROUNDHill KD, Baldwin HS, Bichel DP, Ellis AM, Graham EM, Hornik CP, Jacobs JP, Jaquiss RDB, Jacobs ML, Kannankeril PJ, Li JS, Torok R, Turek JW, O'Brien SM. Overcoming underpowering: Trial simulations and a global rank end point to optimize clinical trials in children with heart disease. Am Heart J. 2020 Aug;226:188-197. doi: 10.1016/j.ahj.2020.05.011. Epub 2020 May 20.
PMID: 32599259BACKGROUNDJenkins KJ, Gauvreau K, Newburger JW, Spray TL, Moller JH, Iezzoni LI. Consensus-based method for risk adjustment for surgery for congenital heart disease. J Thorac Cardiovasc Surg. 2002 Jan;123(1):110-8. doi: 10.1067/mtc.2002.119064.
PMID: 11782764BACKGROUNDAgarwal HS, Wolfram KB, Saville BR, Donahue BS, Bichell DP. Postoperative complications and association with outcomes in pediatric cardiac surgery. J Thorac Cardiovasc Surg. 2014 Aug;148(2):609-16.e1. doi: 10.1016/j.jtcvs.2013.10.031. Epub 2013 Nov 23.
PMID: 24280709BACKGROUNDWilder NS, Yu S, Donohue JE, Goldberg CS, Blatt NB. Fluid Overload Is Associated With Late Poor Outcomes in Neonates Following Cardiac Surgery. Pediatr Crit Care Med. 2016 May;17(5):420-7. doi: 10.1097/PCC.0000000000000715.
PMID: 27028790BACKGROUNDWillems A, Van Lerberghe C, Gonsette K, De Ville A, Melot C, Hardy JF, Van der Linden P. The indication for perioperative red blood cell transfusions is a predictive risk factor for severe postoperative morbidity and mortality in children undergoing cardiac surgery. Eur J Cardiothorac Surg. 2014 Jun;45(6):1050-7. doi: 10.1093/ejcts/ezt548. Epub 2014 Jan 14.
PMID: 24431174BACKGROUNDBaltsavias I, Faraoni D, Willems A, El Kenz H, Melot C, De Hert S, Van der Linden P. Blood storage duration and morbidity and mortality in children undergoing cardiac surgery. A retrospective analysis. Eur J Anaesthesiol. 2014 Jun;31(6):310-6. doi: 10.1097/EJA.0000000000000024.
PMID: 24492183BACKGROUNDLong JB, Engorn BM, Hill KD, Feng L, Chiswell K, Jacobs ML, Jacobs JP, Goswami D. Postoperative Hematocrit and Adverse Outcomes in Pediatric Cardiac Surgery Patients: A Cross-Sectional Study From the Society of Thoracic Surgeons and Congenital Cardiac Anesthesia Society Database Collaboration. Anesth Analg. 2021 Nov 1;133(5):1077-1088. doi: 10.1213/ANE.0000000000005416.
PMID: 33721876BACKGROUNDMarshall JC, Cook DJ, Christou NV, Bernard GR, Sprung CL, Sibbald WJ. Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome. Crit Care Med. 1995 Oct;23(10):1638-52. doi: 10.1097/00003246-199510000-00007.
PMID: 7587228BACKGROUNDSlater A, Shann F, Pearson G; Paediatric Index of Mortality (PIM) Study Group. PIM2: a revised version of the Paediatric Index of Mortality. Intensive Care Med. 2003 Feb;29(2):278-85. doi: 10.1007/s00134-002-1601-2. Epub 2003 Jan 23.
PMID: 12541154BACKGROUNDSlater A, Shann F; ANZICS Paediatric Study Group. The suitability of the Pediatric Index of Mortality (PIM), PIM2, the Pediatric Risk of Mortality (PRISM), and PRISM III for monitoring the quality of pediatric intensive care in Australia and New Zealand. Pediatr Crit Care Med. 2004 Sep;5(5):447-54. doi: 10.1097/01.PCC.0000138557.31831.65.
PMID: 15329160BACKGROUNDDespotis G, Avidan M, Eby C. Prediction and management of bleeding in cardiac surgery. J Thromb Haemost. 2009 Jul;7 Suppl 1:111-7. doi: 10.1111/j.1538-7836.2009.03412.x.
PMID: 19630781BACKGROUND
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Denis Schmartz, MD
CHU Brugmann
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Head, Dept of Anesthesiology, Brugmlann University hospital & HUDERF
Study Record Dates
First Submitted
March 9, 2022
First Posted
March 17, 2022
Study Start
March 18, 2022
Primary Completion
June 30, 2022
Study Completion
July 8, 2022
Last Updated
July 20, 2022
Record last verified: 2022-07
Data Sharing
- IPD Sharing
- Will not share