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Use of a Predictive Analytics Algorithm to Optimize Weaning of Inotropes Following Pediatric Cardiac Surgery

Real-time Continuous Predictive Analytics Algorithm to Optimize Weaning of Inotropic Agents in Post-operative Pediatric Surgical Cardiac Patients

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04600700
Enrollment
250
Registered
2020-10-23
Start date
2021-07-01
Completion date
2023-03-01
Last updated
2021-10-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Congenital Heart Disease

Keywords

cardiac surgery, congenital heart disease, critical care, pediatrics

Brief summary

The objective of this study is to determine the effectiveness of a real time continuous risk analytics algorithm in the successful de-escalation of vasoactive and inotropic support in pediatric patients following cardiac surgery.

Detailed description

IDO2 utilizes high fidelity continuous and intermittent patient data to feed a Bayesian model which predicts the risk of inadequate tissue oxygen delivery. This index (the IDO2) is FDA 510k cleared for pediatric patients 2 kg up to 12 years of age to continuously report the risk for inadequate tissue oxygen delivery (defined as a mixed venous oxygen saturation less than 40%). The index is continuously displayed in graphical form at the bedside. Clinical decision support systems (CDSS) such as IDO2 may inform inform the clinician when it is appropriate to de-escalate care on a critically ill. Appropriate de-escalation plays a role in the safe, efficient utilization of resources in the CICU, and may reduce duration intervals of care such as duration of support with vasoactive and inotropic drugs, mechanical ventilation and length of stay. In support of this hypothesis, the investigators for this proposed study have recently completed a retrospective, multi-center analysis of 2,556 patient encounters demonstrating that elevated IDO2 during a wean off inotropic agents is associated with weaning failure. When compared to conventional markers of cardiac output, 6-hour average IDO2 was superior to lactate elevation, fall in base deficit, and fall in urine output in discriminating inotrope weaning success from failure. Additionally, for those patients who failed inotrope wean, rescue with re-starting an inotrope was associated with a concomitant fall in IDO2. This analysis supports an underlying hypothesis that IDO2 reflects underlying patient stability, and the rescue of deteriorating physiology leads to an improved physiologic state, and hence a lower IDO2.7 Data suggest that simple CDSS which prompt discussion about management decisions, such as those made during daily ICU rounds, may improve outcomes. These CDSS are often in the form of checklists and apply to usual or standardized practices. These simplified mechanisms may not apply to the more dynamic clinical situations in which specific and intensively monitored patient populations can demonstrate variable response to drugs and recovery. In these circumstances, a CDSS utilizing a 6-hour rolling average value of IDO2, in which the physiologic response to decisions is demonstrated continuously, may inform a more rapid more efficient and safe de-escalation of vasoactive and inotropic drugs when implemented on each of the twice daily clinical work rounds in the CICU.

Interventions

DEVICEClinical Decision support system (CDSS) for inotrope weaning

A Clinical Decision Support System informed by 6-hour rolling average IDO2, will be utilized during the intervention phase of the study. The CDSS tool will be introduced in a stepped-wedge pattern. Randomization will occur by center, with time of introduction being staggered, with each center ultimately receiving the CDSS intervention. Teams in the CICU make rounds twice per day. During each of the rounds (AM and PM), the team will refer to the CDSS and the 6-hour average IDO2 (as reported on the T3 platform at the bedside computer). The clinical team will consider the CDSS in decision making around inotrope weans. If the decision is made to not utilize IDO2, the bedside clinician will complete a brief survey with rationale.

Sponsors

National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
Boston Children's Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
1 Days to 365 Days
Healthy volunteers
No

Inclusion criteria

* Neonates and infants aged 1-365 days * weight greater than 3kg * Gestational age greater than 36 weeks * admitted to the cardiovascular intensive care uni following biventricular repairs of congenital heart disease * high risk for hemodynamic instability (ie started on inotropes - milrinone, epinephrine, norepinephrine, dopamine, vasopressin) in operating room or within 6 hours cardiopulmonary bypass cessation.

Exclusion criteria

* Patients undergoing palliation of single ventricle heart disease * surgical cases not requiring cardiopulmonary bypass * cases not requiring vasoactive or inotropic support * patients requiring extracorporeal membrane oxygenation (ECMO) in the perioperative period (either out of the operating room, or in the ICU prior to weaning off inotropic support) * patients who died prior to weaning off inotropic support

Design outcomes

Primary

MeasureTime frameDescription
Hours of inotropic support12/31/21Hours of inotropic support

Secondary

MeasureTime frameDescription
Days in the Cardiac Intensive Care Unit (CICU)12/31/21Number of days in the CICU
Number of central line days12/31/21Number of days with a central catheter
Hours of mechanical ventilation12/31/21Hours of mechanical ventilation
adherence to Clinical Decision Support System (CDSS)12/31/21Number of deviations from the protocol
hospital cost12/31/21Hospital charges in US dollars
Rate of nosocomial infection12/31/21The rate per patient day of nosocomial infection

Countries

United States

Contacts

Primary ContactJoshua Salvin, MD
joshua.salvin@cardio.chboston.org6173555894

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026