NCT05284500

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

87
On Track

Trial Health Score

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

Enrollment
152

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Mar 2022

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

First Submitted

Initial submission to the registry

March 9, 2022

Completed
8 days until next milestone

First Posted

Study publicly available on registry

March 17, 2022

Completed
1 day until next milestone

Study Start

First participant enrolled

March 18, 2022

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2022

Completed
8 days until next milestone

Study Completion

Last participant's last visit for all outcomes

July 8, 2022

Completed
Last Updated

July 20, 2022

Status Verified

July 1, 2022

Enrollment Period

3 months

First QC Date

March 9, 2022

Last Update Submit

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.

Procedure: Pediatric cardiac surgery with cardiopulmonary bypass

Interventions

All patients undergoing pediatric cardiac surgery with cardiopulmonary bypass will be extracted from our database

Pediatric cardiac surgery patients

Eligibility Criteria

AgeUp to 16 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17)
Sampling MethodNon-Probability Sample
Study Population

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

Location

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: 17621472BACKGROUND
  • Hickey 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: 27173065BACKGROUND
  • Hill 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: 32599259BACKGROUND
  • Jenkins 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: 11782764BACKGROUND
  • Agarwal 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: 24280709BACKGROUND
  • Wilder 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: 27028790BACKGROUND
  • Willems 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: 24431174BACKGROUND
  • Baltsavias 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: 24492183BACKGROUND
  • Long 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: 33721876BACKGROUND
  • Marshall 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: 7587228BACKGROUND
  • Slater 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: 12541154BACKGROUND
  • Slater 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: 15329160BACKGROUND
  • Despotis 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

Cardiopulmonary Bypass

Intervention Hierarchy (Ancestors)

Extracorporeal CirculationSurgical Procedures, Operative

Study Officials

  • Denis Schmartz, MD

    CHU Brugmann

    STUDY DIRECTOR

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

Locations