DIGIPREDICT-Physio-DE

May 23, 2023 updated by: Laurenz Kopp Fernandes, Charite University, Berlin, Germany

Edge AI-deployed DIGItal Twins for PREDICTing Disease Progression and Need for Early Intervention in Infectious and Cardiovascular Diseases Beyond COVID-19 - Evaluation of Physiological Sensors

The study aims to investigate short-term physiological and biochemical inflammatory and cardiocirculatory biomarker kinetics in heart failure patients, using the DIGIPREDICT Physiopatch device - an investigational device that allows non-invasive realtime single-lead ECG registration and bioimpedance measurement as well as spotcheck photoplethysmography -, and standard laboratory methods, respectively.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

20

Phase

  • Not Applicable

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Presence of heart failure, defined as: symptoms and signs of heart failure, elevated baseline NT-proBNP levels (>125pg/ml in sinus rhythm, >365 pg/ml in atrial fibrillation) without severe kidney disease (defined as eGFR(MDRD)<30 ml/min/1.73m²), and structural and/or functional abnormalities (according to 2021 ESC Heart Failure Guidelines)
  • At least 2 days of further treatment on a DHZC intensive care unit (H3i, IPS1, IPS2) or intermediate care unit (H3 - heart failure unit) expected at enrolment.
  • Age of subject is ≥ 18years.
  • Subject is female, male, divers.
  • Signed written informed consent.
  • For female subject or divers subject:

    1. Negative highly sensitive urine or serum pregnancy test before inclusion, and
    2. Practicing a highly effective birth control method (failure rate of less than 1%):

      1. combined (estrogen and progestogen containing) hormonal
      2. contraception associated with inhibition of ovulation (oral/intravaginal/ transdermal), or
      3. progestogen-only hormonal contraception associated with inhibition of ovulation (oral/injectable/implantable), or
      4. intrauterine device (IUD), or
      5. intrauterine hormone-releasing system ( IUS), or
      6. bilateral tubal occlusion, or
      7. vasectomised partner, or
      8. heterosexual abstinence.

Exclusion Criteria:

  • Subject is breastfeeding.
  • Subject suffers from an addiction or from a disease that prevents the subject from recognizing nature, scope, and consequences of the study.
  • Subject is treated with immunosuppressive drugs at enrolment.
  • Subject requires mechanical circulatory support at enrolment (IABP, veno-arterial ECMO, Impella, VAD, TAH).
  • Subject requires extracorporeal lung support at enrolment (veno-venous ECMO, interventional lung assist).
  • Subject requires invasive ventilation at enrolment.
  • Subject requires renal replacement therapy.
  • Subjects with an active stimulation device (implanted or not) (e.g. pacemaker, nerve stimulator).
  • Subject has a known colonisation or infection with multi-drug-resistant pathogens.
  • Subject suffers from a skin disease at all possible placement sites for the DIGIPREDICT Physiopatch.

Subject has damaged skin at all fingertips.

  • Subject has highly sensitive skin to (medical) adhesives.
  • Subject shows an inability to comply with all of the study procedures and follow-up visits.
  • Subjects who are unwilling to consent to saving and propagation of pseudonymised medical data for study reasons.
  • Subject is legally detained in an official institution.
  • Subject is dependent on the sponsor, the investigator or the study sites.
  • Subject participates in another clinical investigation according to MPDG/MDR, or in a study according to AMG/CTR that investigates immunosuppressive drugs at the time of this study.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Interventional group
This arm includes all study participants.
Application of the DIGIPREDICT Physiopatch investigational device

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Short-term kinetics of C-reactive protein
Time Frame: 4 days

Outcome is the detection of kinetics of C-reactive protein values [mg/L] between at least two timestamps.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of procalcitonin
Time Frame: 4 days

Outcome is the detection of kinetics of procalcitonin values [ng/mL] between at least two timestamps.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of interleukin-6
Time Frame: 4 days

Outcome is the detection of kinetics of interleukin-6 values [ng/L] between at least two timestamps.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of ferritin
Time Frame: 4 days

Outcome is the detection of kinetics of ferritin values [µg/L] between at least two timestamps.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of NT-pro brain natriuretic peptide
Time Frame: 4 days

Outcome is the detection of kinetics of NT-pro brain natriuretic peptide [ng/L] between at least two timestamps.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of high sensitive troponin T
Time Frame: 4 days

Outcome is the detection of kinetics of high sensitive troponin T [ng/L] between at least two timestamps.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of lactate
Time Frame: 4 days

Outcome is the detection of kinetics of lactate [mg/dL] between at least two timestamps.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of blood pH
Time Frame: 4 days

Outcome is the detection of kinetics of blood pH between at least two timestamps.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of body surface temperature
Time Frame: 4 days

Outcome is the detection of kinetics of body surface temperature [°C] between at least two timestamps. The mean value within 1 h before the timestamp of the concomitant biochemical biomarkers will be used for analysis.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days
Short-term kinetics of bioimpedance
Time Frame: 4 days

Outcome is the detection of kinetics of bioimpedance [Ohm] between at least two timestamps. The mean value within 1 h before the timestamp of the concomitant biochemical biomarkers will be used for analysis.

Short-term is defined as <= 26hours; biomarker kinetics are defined as >20% increase or decrease of a biomarker level at one point in time compared to the level at another point in time. The timestamp documented in the electronic health record will be used for analysis.

4 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation between C-reactive protein and body surface temperature
Time Frame: 4 days

Outcome is the detection of a correlation between C-reactive protein [mg/L] and body surface temperature [°C].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between C-reactive protein and bioimpedance
Time Frame: 4 days

Outcome is the detection of a correlation between C-reactive protein [mg/L] and bioimpedance [Ohm].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between procalcitonin and body surface temperature
Time Frame: 4 days

Outcome is the detection of a correlation between procalcitonin [ng/mL] and body surface temperature [°C].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between procalcitonin and bioimpedance
Time Frame: 4 days

Outcome is the detection of a correlation between procalcitonin [ng/mL] and bioimpedance [Ohm].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between interleukin-6 and body surface temperature
Time Frame: 4 days

Outcome is the detection of a correlation between interleukin-6 [ng/L] and body surface temperature [°C].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between interleukin-6 and bioimpedance
Time Frame: 4 days

Outcome is the detection of a correlation between interleukin-6 [ng/L] and bioimpedance [Ohm].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between ferritin and body surface temperature
Time Frame: 4 days

Outcome is the detection of a correlation between ferritin [µg/L] and body surface temperature [°C].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between ferritin and bioimpedance
Time Frame: 4 days

Outcome is the detection of a correlation between ferritin [µg/L] and bioimpedance [Ohm].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between NT-pro brain natriuretic peptide and body surface temperature
Time Frame: 4 days

Outcome is the detection of a correlation between NT-pro brain natriuretic peptide [ng/L] and body surface temperature [°C].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between NT-pro brain natriuretic peptide and bioimpedance
Time Frame: 4 days

Outcome is the detection of a correlation between NT-pro brain natriuretic peptide [ng/L] and bioimpedance [Ohm].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between high sensitive troponin T and body surface temperature
Time Frame: 4 days

Outcome is the detection of a correlation high sensitive troponin T [ng/L] and body surface temperature [°C].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between high sensitive troponin T and bioimpedance
Time Frame: 4 days

Outcome is the detection of a correlation high sensitive troponin T [ng/L] and bioimpedance [Ohm].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between lactate and body surface temperature
Time Frame: 4 days

Outcome is the detection of a correlation between lactate [mg/dL] and body surface temperature [°C].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between lactate and bioimpedance
Time Frame: 4 days

Outcome is the detection of a correlation between lactate [mg/dL] and bioimpedance [Ohm].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between blood pH and body surface temperature
Time Frame: 4 days

Outcome is the detection of a correlation between blood pH and body surface temperature [°C].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days
Correlation between blood pH and bioimpedance
Time Frame: 4 days

Outcome is the detection of a correlation between blood pH and bioimpedance [Ohm].

Correlations between physiological biomarkers and biochemical biomarkers will be analysed graphically and by Spearman's correlation coefficient.

4 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

May 25, 2023

Primary Completion (Estimated)

November 24, 2023

Study Completion (Estimated)

November 24, 2023

Study Registration Dates

First Submitted

May 12, 2023

First Submitted That Met QC Criteria

May 23, 2023

First Posted (Actual)

June 2, 2023

Study Record Updates

Last Update Posted (Actual)

June 2, 2023

Last Update Submitted That Met QC Criteria

May 23, 2023

Last Verified

May 1, 2023

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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