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Validation of the iCVS Model in Patients Admitted to the Intensive Care Unit

Validation of the iCVS Model in Patients Admitted to the Intensive Care Unit: a Retrospective Study

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07256886
Enrollment
1150
Registered
2025-12-01
Start date
2026-04-01
Completion date
2030-04-30
Last updated
2025-12-01

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

Conditions

Shock

Keywords

shock

Brief summary

One of the significant challenges in the care of critically ill patients in the intensive care unit is the assessment of hemodynamically unstable patients (shock states). The treating team uses data such as heart rate, arterial blood pressure, physical examination findings, etc. to assess the patient's cardiac output, peripheral vascular resistance, filling pressures and volumes, and vascular tone. These assessments are essential to assess the cause of shock (cardiac cause, hypovolemia, sepsis, etc.), but in many situations they are not easy to perform and require extensive knowledge and experience. Assessing the hemodynamic status of a critically ill patient based on dynamic mechanical models may be a good option for more accurate assessment of complex patients. Such a model is, for example, the iCVS model: it is a relatively simple, mechanical-dynamic model that can be used to understand complex cardiovascular conditions. This model requires only age and weight as initial data, and as dynamic data the model requires only an arterial blood pressure (AR) curve and a central venous pressure (CVP) curve. The model is based on the shape of the above curves for the purpose of analyzing the cardiovascular status of the patient. The model is suitable for both adults and children, although most of the work to date has been among pediatric intensive care patients.

Interventions

None listed

Sponsors

Meir Medical Center
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE

Eligibility

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

Inclusion criteria

The relevant experiment population are all patients over age 18 admitted to the ICU in Meir -

Exclusion criteria

Missing data \-

Design outcomes

Primary

MeasureTime frameDescription
Optimization and validation of the ICVS model1 yearThe goal of this experiment is to perform an initial optimization and validation of the ICVS model with respect to the following metrics: * detection time before blood pressure drop * clinical shock classification.

Outcome results

None listed

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