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Interactive Patient's Assistant - LUCY

Interactive Patient's Assistant to Optimize Long-term Care in Patients With Chronic Health Failure and Determine Which Parameters of CIED Indicate the Requirement for Ambulatory Follow-up

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03474315
Enrollment
600
Registered
2018-03-22
Start date
2018-04-30
Completion date
2019-02-28
Last updated
2018-03-22

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

Conditions

Chronic Heart Failure

Keywords

Cardiac implantable electronic device, Cardiac resynchronization therapy, Implantable cardioverter-defibrillator, Machine learning, Mobile application, Patient's assistance

Brief summary

Patients with chronic heart failure (CHF) and reduced left ventricle ejection fraction benefit from cardiac resynchronization therapy (CRT) and implantable cardioverter defibrillator (ICD). Currently used devices, besides delivering low and high-energy therapies, record patient's activity and many hemodynamic parameters. However, increasing numbers of patient with CRT and ICD devices produce overload of cardiology centers where patients are admitted to ambulatory visits. Contrarily, there are technological possibilities for remote monitoring proven to be effective in recognizing damage of the implanted device and risk of exacerbation of chronic heart failure. Patients' registries show that majority of ambulatory visits are unproductive and do not result in significant modification of device's parameters. Promising experiences with application of data mining and machine learning techniques allow us to assume probable benefits from using modern methods of data analysis in determination of requirement for ambulatory follow-up on basis of data gathered through telemonitoring and clinical assessment of a patient. Aim of the study is to find multivariate model predicting the requirement for ambulatory follow-up of IECD.

Interventions

DIAGNOSTIC_TESTMultivariate assessment

Patient's status assessment according to clinical evaluation and data acquired from the implanted device.

Sponsors

Medical University of Warsaw
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

* 18-90 years old * Chronic heart failure (NYHA class I to III) * Implanted ICD or CRT (at least 30 days before inclusion)

Design outcomes

Primary

MeasureTime frameDescription
Ambulatory visit qualified as meaningful due to change in pharmacotherapy or ICD parameters related to tachycardia detection or treatment.1 dayPrimary outcome is composed of: * any change in pharmacotherapy (modification of agents or doses) related to patient's clinical status assessed during the visit, * any change in tachyarrythmia counter or discriminator status, * any change in tachyarrythmia threshold, * ventricular undersensing or oversensing.

Secondary

MeasureTime frameDescription
Ambulatory visit qualified as meaningful due to alarming condition related to ICD.1 daySecondary outcome is composed of: * sustained or treated ventricular tachyarrythmia, * any not previously diagnosed supraventricular tachyarrythmia, * elective replacement indicator, * atrial undersensing or oversensing, * atrial or ventricular ineffective pacing.

Countries

Poland

Contacts

Primary ContactAndrzej Cacko, MD PhD
andrzej.cacko@gmail.com+48 509892324

Outcome results

None listed

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