OPTIMIZE 5.5 - Optimizing Impella 5.5 Outcomes Through Advanced Data Science

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorMedical University of Vienna

About this trial

The main goal of this observational, study is to develop a clinical decision support tool utilizing Impella 5.5 pump parameters to predict native heart recovery and prevent adverse events, by leveraging data science and real-world clinical data of cardiogenic shock patients.

Therefore, secondary objectives are essential to consolidating a retrospective longitudinal analysis of Impella 5.5 pump data alongside ICU digital health record datasets to:

1. Validate the Impella 5.5 placement signal by comparing it with ICU arterial line waveforms. 2. Integrate pump data with ICU clinical data to identify patterns associated with therapy outcomes, including native heart recovery, heart replacement therapy, and mortality while on device support. 3. Define clinical scenarios linked to hemolysis, HRAEs, and arrhythmias and develop predictive models to mitigate their occurrence.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Adult patients who were treated for cardiogenic shock and supported with an Impella 5.5 micro-axial flow pump

Only patients with available high-resolution pump data (downloaded from the clinical console) and ICU digital health record datasets

Disqualifiers

Patients supported with an Impella 5.5 for indications other than cardiogenic shock (e.g., protected PCI or CABG)

Patients younger than 18 years

Patients with incomplete data, procedural records, or demographic information

Trial population

The study population comprises adult patients admitted to the intensive care unit (ICU) presenting with severe cardiogenic shock who required temporary mechanical circulatory support between January 2019 and March 2026, treated at the Medical University of Vienna, Austria. Eligible individuals are those who undergo clinical management utilizing the Impella 5.5 micro-axial flow pump as part of their standard of care. Only patients with available high-resolution pump data (downloaded from the clinical console) and ICU digital health record datasets extracted from ICCA (IntelliSpace Critical Care and Anesthesia, Philips Medical Systems Development and Manufacturing Centre, Hamburg, Germany) will be included for analysis.

Trial design

Design model

Cohort

Time perspective

Retrospective

Treatments tested in this trial

  • Micro-axial flow pump support

    Device

    Temporary circulatory support using the Impella 5.5 micro-axial flow pump. The device is surgically placed (typically via the axillary artery) across the aortic valve into the left ventricle to provide active forward flow, unloading the left ventricle and maintaining systemic perfusion during cardiogenic shock. Management of the device includes the collection and analysis of continuous device-derived hemodynamic data and associated clinical parameters throughout the duration of support.

Treatment groups

100 Participants
are divided into 3 treatment groups
Group A: Native heart recovery1 intervention
Group B: Heart replacement therapy (durable MCS or HTX)1 intervention
Group C: All-cause mortality1 intervention

Trial outcomes

Primary outcomes

1

Predictive Performance and Optimization of the Clinician Decision Support Tool

The predictive performance of the developed clinical decision support tool will be evaluated by its ability to classify patient trajectories toward native heart recovery versus adverse outcomes. The model will undergo comprehensive model architecture optimization to identify the structural configuration that yields optimal performance. Model training, validation, and testing will follow a standard data split: 80% of the dataset will be utilized for training and internal validation using 5-fold cross-validation, and the remaining 20% will be held out as a definitive testing dataset. Final classification performance will be quantified using specific metrics derived from Receiver Operating Characteristic (ROC) curve analysis, including: Area Under the Curve (AUC), Sensitivity, Specificity

Time frame
From the time of Impella 5.5 insertion up to device explant (estimated average of 5 to 14 days).

Secondary outcomes

1

Bias Between the Impella 5.5 Placement Signal and ICU Arterial Line Waveforms

The systematic difference (bias) between the automated Impella 5.5 optical placement signal and the gold-standard ICU indwelling arterial line pressure waveforms will be quantified using Bland-Altman analysis to evaluate signal alignment. Unit of Measure: Millimeters of mercury (mmHg)

Time frame
Continuously through the duration of active Impella 5.5 device support (from device insertion up to explant, estimated average of 5 to 14 days).
2

Correlation Coefficient Between the Impella 5.5 Placement Signal and ICU Arterial Line Waveforms

The strength and direction of the linear relationship between the continuous time-series data of the Impella 5.5 optical placement signal and the ICU arterial line waveforms will be evaluated. Unit of Measure: Correlation coefficient (r) on a scale from -1.0 to 1.0.

Time frame
Continuously through the duration of active Impella 5.5 device support (from device insertion up to explant, estimated average of 5 to 14 days).
3

Concordance Rate of Directional Trends Between the Impella 5.5 Placement Signal and ICU Arterial Line Waveforms

The trending ability of the placement signal will be assessed via concordance plots. The concordance rate represents the percentage of data points where the directional change (increase or decrease) matches between both signal streams over time, excluding zones of clinical noise. Unit of Measure: Percentage (%) of concordant data pairs.

Time frame
Continuously through the duration of active Impella 5.5 device support (from device insertion up to explant, estimated average of 5 to 14 days).
4

Percentage of Participants Exhibiting Specific Device-Support Clinical Endpoints

The final clinical trajectory of the cohort on device support will be categorized into one of three mutually exclusive outcomes: 1. Native heart recovery (successful device weaning and explant) 2. Escalation to heart replacement therapy (durable LVAD implantation or heart transplantation) 3. All-cause mortality while on active device support. Unit of Measure: Percentage (%) of participants within each categorical outcome category.

Time frame
Through the duration of hospital stay (estimated average of 30 days).

Other outcomes

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