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RecruitingNCT06271031CSM-BSIUpdated Sep 19, 2024

Process Mapping and Data Collection to Inform a Computer Simulation Model of Hospitalised Patients With Bloodstream Infection, Sepsis and Systemic Infection

An observational study in Sepsis, Bloodstream Infection and Bacteraemia, sponsored by Liverpool University Hospitals NHS Foundation Trust. Recruiting at 1 site in United Kingdom. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-09-19.

Sponsored by Liverpool University Hospitals NHS Foundation Trust · Observational

From the registry’s dates

  • Primary completion was expected by Dec 2025, 10 months ago, but the record still lists the study as recruiting.
  • Started Sep 2024; still recruiting 2 years 2 months later.
Study type
Observational
Model
Other
Time perspective
Retrospective
Enrollment
100
Ages
18 Years and older
Sex
All
01

Study summary

The goal of this study is to create a computer simulation of patients with bloodstream infection to understand how changes in healthcare policies and resources affect patient treatment. This simulation will help doctors and health-care decision makers make better choices in treating these patients and avoid overusing antibiotics that can lead to antibiotic resistance. Antibiotic resistance is when bacteria can't be killed by antibiotics anymore. Participants will not receive treatments as this is an observational study, but the study will involve:

  • Interviews with healthcare staff to understand patient care pathways.
  • Analysis of historical data on bacteria causing infections and antibiotic treatments.
  • A 30-day observational study to observe patient treatment for bloodstream infections.
Read the detailed description

The main aim of this research is to create a computer simulation of patients with bloodstream infection. Bloodstream infection is often a severe infection (blood poisoning) that can lead to sepsis, which is a significant global health concern, causing around 66,096 deaths each year in the United Kingdom alone. Doctors and healthcare decision-makers have to make difficult decisions that balance the effective treatment of patients with sepsis and avoid the overuse of broad-spectrum antibiotics, which can lead to antibiotic resistance. By generating a virtual environment to test out different scenarios, this computer simulation model will provide insight into the projected effects of changes to hospital policy, changes in hospital resources (such as staff) and the impact of laboratory diagnostic tests. Proposed changes can be simulated in this virtual environment prior to implementation in the real healthcare system.

This study will be carried out in three parts. First, there will be interviews with healthcare staff over six months to comprehensively describe the patient pathways involved in management of bloodstream infection. Next, the project will analyse historical pseudonymised data from Liverpool University Hospitals NHS Foundation and Liverpool Clinical Laboratories to inform the characteristics of the model (in particular on the bacteria causing infections, the antibiotic treatments used, and the time it takes for patients to be treated). Finally, there will be a 30-day observational study where researchers observe the treatment of patients with bloodstream infection (without intervening or recording identifying details) to ensure that the computer model captures all the important steps involved in patient management.

02

Conditions studied

  • Sepsis
  • Bloodstream Infection
  • Bacteraemia

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03

In context

Sepsis

2,416 studies on the registry are indexed under Sepsis; 541 are open to participants now.

This study's planned enrollment of 100 is below the median of 150 across 1,162 observational studies indexed under Sepsis.

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Lead sponsor

Liverpool University Hospitals NHS Foundation Trust is the lead sponsor of 61 studies on the registry; 13 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients with presumed bloodstream infection/sepsis/systemic infection.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Sub-study 2 (retrospective data collection)

  • Patients who were managed within a LUFT acute hospital site (Aintree or Royal) and had a concurrent blood culture investigation requested
  • Age ≥ 18 years at the time of the study. Sub-study 3 (observational study)
  • Patients with blood culture investigation requested during the observation period, and staff caring for the patients.

Exclusion criteria

Exclusion Criteria:

  • Age \< 18 years at the time of the study
  • Blood culture requested but patient not managed on an acute hospital site.
05

Study design

Observational model
Other
Time perspective
Retrospective
Enrollment
100 participants (estimated)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Generation of a software simulation model that is fine tuned to the observed data.

    The main outcome is the generation of a software simulation model that is calibrated to the observed data. The study team consists of individuals with experience in model construction and calibration.

    Time frame: 2 years

Secondary outcomes

  1. Exploration of the performance of the model in different hypothesised scenarios.

    Secondary outcomes of this study are the exploration of the performance of the model in different hypothesised scenarios. The scenarios and outcome metrics are dependant on the final model delivered, but as an example may include the following: Time from presentation to hospital to time to administration of antibiotics active against the infecting pathogen in a simulated model which includes a novel diagnostic test for antimicrobial resistance, vs a model that does not include one.

    Time frame: 6 months

07

Study locations

1 of 1 sites recruiting
  • Liverpool University Hospitals Foundation Trust
    Liverpool, L6 1AS, United Kingdom
    Recruiting
08

References and documents

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Sep 2024 (actual). Primary completion is estimated for Dec 2025, 15 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Feb 14, 2024
First posted
Feb 21, 2024
StartActual
Sep 1, 2024
Primary completionEst.
Dec 31, 2025
CompletionEst.
Mar 31, 2026
Last update
Sep 19, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 19, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06271031
Lead sponsor
Liverpool University Hospitals NHS Foundation Trust
Responsible party
Sponsor
First posted
Feb 21, 2024
Start date
Sep 1, 2024
Primary completion
Dec 31, 2025 (estimated)
Completion
Mar 31, 2026 (estimated)
Last update
Sep 19, 2024

Study contacts

Esha D Sheth
Contact
e.d.m.sheth@liverpool.ac.uk
07864026738
Alessandro D Gerada
principal investigator · University of Liverpool

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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