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Implementation Trial of Predictive Modeling to Enhance Diagnosis and Improve Treatment in Pediatric Septic Shock

Implement and PREDICT Shock: An Implementation Trial of Predictive Modeling to Enhance Diagnosis and Improve Critical Treatment in Pediatric Septic Shock

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05065333
Enrollment
1345
Registered
2021-10-04
Start date
2022-03-16
Completion date
2023-03-31
Last updated
2023-04-19

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

Conditions

Emergencies, Sepsis, Septic Shock

Keywords

pediatric

Brief summary

This study is a prospective, stepped-wedge implementation trial to test the effects of implementing a Clinical Decision Support (CDS) tool for prediction of septic shock in four Emergency Departments within a pediatric healthcare network. The primary outcome will be the proportion of sepsis patients who receive guideline-concordant septic shock care after implementation of the CDS, and the secondary outcome will be time-to-antibiotic after sepsis recognition.

Detailed description

Septic shock is a leading global cause of pediatric death. In the US, the in-hospital mortality rate for children with sepsis is 5-20%. Septic shock is a state of critical infection that requires advanced and resource-intensive resuscitation, and morbidity-free survival depends on timely diagnosis. Critical care delivered in a delayed fashion, after a child is in hypotensive shock, is less effective; for each hour of unrecognized shock the odds of death more than double. Advances have been made in timely sepsis treatment, but improving diagnosis of septic shock in children remains elusive. Improved early diagnosis would accelerate treatment and improve outcomes. Tools that have been deployed to improve diagnosis in pediatric sepsis either diagnose it after organ dysfunction criteria have been met, or depend heavily on subspecialty physician judgment and have not been tested outside of tertiary pediatric hospitals. Thus, the evidence-based 2020 Surviving Sepsis Children's Guidelines for pediatric sepsis stated that high-quality trials on pediatric sepsis recognition are lacking, and data are not sufficient to suggest any particular screening tool, and identified pediatric sepsis recognition trials as an important research need. Despite this, the guidelines weakly recommended screening patients who present as acutely unwell for septic shock, citing very low quality evidence. The guidelines also stated that there is no evidence for the effectiveness of any existing pediatric sepsis screening tools. This study addresses the gap in knowledge about the effectiveness of pediatric sepsis prediction tools. The study team has developed and retrospectively validated early diagnostic models that leverage clinical data in the Electronic Health Record (EHR) to predict septic shock in children the emergency setting \[1, 2\]. In order to address concerns about alert fatigue and antibiotic overuse, these predictive models were designed to identify patients at high risk for shock among patients in whom clinicians initially had some suspicion for sepsis. In this pilot implementation trial, Clinical Decision Support based on septic shock prediction models will be introduced to 4 pediatric Emergency Departments (EDs) within the Children's Hospital Colorado care system in a stepped wedge design, in addition to routine clinical care. Routine clinical care at all study sites includes existing sepsis pathways, order sets, and quality metrics that are aligned with the national Improving Pediatric Sepsis Outcomes Collaborative and the Pediatric Surviving Sepsis guidelines. The primary outcome will be the proportion of sepsis patients who receive guideline-concordant septic shock care after implementation of the CDS, and the secondary outcome will be time-to-antibiotic after sepsis recognition.

Interventions

OTHERSeptic Shock Clinical Decision Support

The intervention will be activating a septic shock clinical decision support tool (CDS) in the Electronic Health Record at the site, making it available to trigger and alert Emergency Department providers during clinical care. Patients will be identified when providers suspect sepsis and initiate a sepsis evaluation, using the institutional, clinically-standard, sepsis pathway/orderset. After the CDS is triggered, it will use available Electronic Health Record data to calculate the risk of septic shock, using previously-published predictive models \[Ref 1, 2\]. The CDS will notify providers if the patient is at elevated risk of septic shock and prompt them to follow institutional standard care for septic shock (including close monitoring, complete laboratory evaluation for organ dysfunction, and immediate clinical involvement of an attending Pediatric Emergency Physician). All clinical care decisions will be determined by the providers.

OTHERClinical Diagnosis Only

Emergency Department sites in this arm will not have Clinical Decision Support for septic shock visible in the Electronic Health Record for providers at the site. Providers will follow usual institutional standards of sepsis care.

Sponsors

Agency for Healthcare Research and Quality (AHRQ)
CollaboratorFED
University of Colorado, Denver
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
DIAGNOSTIC
Masking
SINGLE (Subject)

Masking description

Emergency Department sites (unit of randomization) cannot be blinded; however patients who are subjects of the intervention are not aware of the arm of the site in the clinical trial.

Intervention model description

This will be a stepped wedge cluster randomized trial, with the site as the unit of randomization. There will be five study periods and four sites. In the first period no sites will receive the intervention. During each subsequent period, one site will crossover to receive the intervention.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Emergency Department Inclusion Criteria: * Children's Hospital Colorado Emergency Care sites * All providers (physicians, nurse practitioners, physician assistants) at Children's Hospital Colorado Emergency Care sites will be included

Exclusion criteria

\- None Patients whose secondary data will be used to assess the outcomes of the intervention will be 60 days through 18 years old.

Design outcomes

Primary

MeasureTime frameDescription
Number of Patients Receiving Guideline-Concordant Septic Shock CareUp to 24 hours after Emergency Department arrivalTreatment will be defined as concordant with Surviving Sepsis Campaign guidelines for shock if intravenous antibiotics are initiated within 60 minutes of sepsis recognition and an intravenous fluid bolus is initiated within 60 minutes of sepsis recognition. This will be a binary outcome. Sepsis recognition is defined as the earlier of: sepsis page sent, sepsis orderset use, or intravenous antibiotic order.

Secondary

MeasureTime frameDescription
Time to AntibioticsUp to 24 hours after Emergency Department arrivalTime to antibiotics will be measured in minutes from the time of sepsis recognition to the start of intravenous antibiotic treatment. This will be a time-to-event outcome. Sepsis recognition is defined as the earlier of: sepsis page sent, sepsis orderset use, or intravenous antibiotic order.

Other

MeasureTime frameDescription
30-Day In-Hospital Mortality30 days after Emergency Department arrivalThe number of patients who experience an in-hospital death up to 30 days after Emergency Department arrival.
Number of Patients Receiving Intravenous Antibiotics during Emergency Department careUp to 24 hours after Emergency Department arrivalNumber of Patients Receiving Intravenous Antibiotics during Emergency Department care
Number of Patients With Septic ShockUp to 24 hours after Emergency Department arrivalSeptic shock will be defined as suspected infection and systolic hypotension and either vasoactive use or ≥30 ml/kg intravenous bolus fluid administration

Countries

United States

Outcome results

None listed

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