Significance of Impedance Cardiography and Early Repolarization Pattern in ECG in Congestive Heart Failure (SICERE-CHF)

July 27, 2022 updated by: Andrius Ališauskas, Lithuanian University of Health Sciences

Significance of Impedance Cardiography and Early Repolarization Pattern in Electrocardiogram in Congestive Heart Failure

Congestive heart failure (CHF) is a disorder of the heart when structural or functional heart disease impairs the heart's ability to work properly. In developed countries, the prevalence of CHF in the general population is around 1-2% (depending on the definition used) and the prevalence of CHF in people aged 70 years and older is ≥ 10%. The cumulative 5-year mortality of patients with CHF is about 50%.

According to different studies, the prevalence of the early repolarization pattern (ERP) in the 12-lead electrocardiogram (ECG) in the general population is 2-31%. Although ERP in ECG have been considered as benign finding for many years, an increasing number of studies have been conducted in recent years to demonstrate an association of ERP in ECG with sudden cardiac death, mainly through ventricular arrhythmias in previously healthy individuals or those with structural cardiac pathology. New studies are also being performed to support the association of ERP with the progression of CHF.

Although the prevalence of ERP in the general population is not very high, the knowledge that ERP lead to a higher risk of sudden cardiac death and development of CHF lets physicians tailor patient care and follow-up, and treatment at a very low cost because ECG is a cheap, simple, and widely available diagnostic test.

Impedance cardiography (ICG) is another safe, non-invasive, cheap, routine diagnostic method based on the detection of changes in thoracic bioimpedance during heartbeat.

The aim of the present study is to evaluate the diagnostic and prognostic significance of ICG and ERP in congestive heart failure patients and to compare it with other non-invasive CHF diagnostic methods. The investigators hypothesize that ERP and changes in ICG readings may be used as a cheap, safe, non-invasive and widely available diagnostic and prognostic methods in patients with congestive heart failure witch help physicians tailor their patient follow-up and treatment accordingly.

The participants of the study are those who are hospitalized due to the flare-up of congestive heart failure. All of the participants will undergo routine tests. They will also undergo an ICG witch is not a routine test in the research center.

Study Overview

Detailed Description

Congestive heart failure (CHF) is a disorder of the heart when structural or functional heart disease impairs the heart's ability to fill with blood or pump it out properly. In developed countries, the prevalence of CHF in the general population is around 1-2% (depending on the definition used) and the prevalence of CHF in people aged 70 years and older is ≥ 10%. The cumulative 5-year mortality of patients with CHF is about 50%. In 2018 in Lithuania CHF accounted for 5.64 hospitalizations per 1000 people in general population. Mortality rate was 155.17 per 1,000 patients and the average length of in hospital stay was 26.64 days.

In order to improve the diagnosis, treatment and financial costs in patients with CHF it is important to search for diagnostic methods that are cheap, effective, preferably non-invasive, as well as those that have reliable prognostic significance for patients with CHF.

According to different studies, the prevalence of early repolarization pattern (ERP) in the 12-lead electrocardiogram (ECG) in the general population is 2-31%. This may be due to different ERP definitions used by different authors. Although ERP in ECG have been considered as benign finding for many years, an increasing number of studies have been conducted in recent years to demonstrate an association of ERP in ECG with sudden cardiac death, mainly through ventricular arrhythmias in previously healthy individuals or those with structural cardiac pathology. New studies are also being performed to support the association of ERP in ECG with the progression of CHF. ERP, which has been first described in 1936 by Shipley and Hallaran, is generally defined as J-point (J-p) elevation with QRS notching or slurring in the terminal part of the QRS complex in at least two adjacent inferior (II, III, and aVF) and / or lateral leads (I, aVL, and V4-V6) detected by the standard 12-lead electrocardiogram. The amplitude of the J point must be at least 1 mm (0.1 mV) and the J-p must appear as an additional positive wave in the S wave (QRS notching) or the J-p may appear as a faint transition of the high R wave to the ST segment without Jp-QRS slurring, QRS duration should be <120 ms and anterior precordial leads (V1-3) are not included in the description of ERP because such changes in these leads may be due to Brugada syndrome or right ventricular dysplasia. Although the prevalence of ERP in ECG in the general population is not very high, the knowledge that ERP in ECG lead to a higher risk of sudden cardiac death and development of CHF lets physicians tailor patient care and follow-up, and treatment at a very low cost because an ECG is a cheap, simple, and widely available diagnostic test.

Impedance cardiography (ICG) is another safe, non-invasive, cheap, routine diagnostic method based on the detection of changes in thoracic bioimpedance during heart cycle. A lot of research has been carried out in recent years which examines the possibilities of ICG in CHF patients in various aspects: diagnostics, treatment, prognosis. A good correlation between ICG, cardiac ultrasound and invasive diagnostic methods was observed in most studies.

Evaluating CHF patients, it is important to evaluate thoracic fluid content (TFC) that can be used to diagnose a flare-up of CHF, its degree, to evaluate the effectiveness of treatment, as well as the prognosis of patients. ICG evaluate the TFC and its index. In clinical practice, it is important to predict the flare-ups of CHF, to predict the outcome of CHF patients, and to provide appropriate treatment to patients timely. Various prognostic indicators are studied: ICG parameters (TFC, TFC index, cardiac output (CO), CO index, systolic time ratio, etc.), brain natriuretic peptide (BNP), New York Heart Association (NYHA) classes. The current data are quite controversial, with most studies reporting positive ICG data as a predictor of CHF.

The aim of the present study is to evaluate the diagnostic and prognostic significance of ICG and ERP in ECG in CHF patients and to compare it with other non-invasive CHF diagnostic methods. The investigators hypothesize that ERP in ECG and changes in ICG readings may be used as a cheap, safe, non-invasive and widely available diagnostic and prognostic methods in patients with CHF witch help physicians tailor their patient follow-up and treatment accordingly.

The participants of the study are those who are hospitalized due to the flare-up of CHF. All of the participants will undergo routine tests. They will also undergo an ICG witch is not a routine test in the research center.

Study Type

Interventional

Enrollment (Actual)

301

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Kaunas, Lithuania, LT-47144
        • Lithuanian University of Health Sciences Kaunas Hospital

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • patients hospitalized due to a flare-up of congestive heart failure;
  • early repolarization pattern in a 12-lead ECG;
  • free from mental disorders;
  • participants signed the informed consent form.

Exclusion Criteria:

  • septic shock;
  • high grade aortic valve regurgitation;
  • high grade aortic valve stenosis;
  • ventricular septal defect;
  • prosthetic aortic valve;
  • uncontrolled hypertension (mean arterial pressure >130 mmHg);
  • heart rate > 200 bpm;
  • height <120 cm or >230 cm;
  • weight <30 kg or >155 kg;
  • intra-aortic balloon counterpulsation;
  • pacemaker with a minute ventilation sensor;
  • restless patient;
  • patient refuses to participate.

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: Impedance cardiography
Impedance cardiography parameters recorded with ICG monitor (niccomoTM; Medis, Ilmenau, Germany)
Transthoracic impedance cardiography recorded with ICG monitor (niccomoTM; Medis, Ilmenau, Germany): electrodes attached to both sides of the patient's neck (4 electrodes in total) and along the midaxillary line of the left and right sides of the chest (4 electrodes in total), employing the xyphoid process as a reference line.
Other Names:
  • ICG monitor (niccomoTM; Medis, Ilmenau, Germany)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
In-hospital stay duration
Time Frame: Day of discharge from the hospital or day of death from any cause, whichever came first, assessed throughout the whole hospital admission stay
In-hospital stay duration measured in days: early patient outcomes (discharge time from the hospital or time of any cause death)
Day of discharge from the hospital or day of death from any cause, whichever came first, assessed throughout the whole hospital admission stay
Rehospitalizations
Time Frame: Follow-up up to 12 months
Latter patient outcomes: number of rehospitalizations due to congestive heart failure
Follow-up up to 12 months
Time of death
Time Frame: From date of hospitalization until the date of death of congestive heart failure, follow-up through study completion, an average of 1.5 year
Latter patient outcomes: time to death (measured in days) due to congestive heart failure. Data were collected from Lithuanian medical record database (Electronic information system's of health services and cooperation infrastructure)
From date of hospitalization until the date of death of congestive heart failure, follow-up through study completion, an average of 1.5 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Early patient outcome 1a
Time Frame: On the day of patient's discharge from the hospital
Early patient outcomes: repeated evaluation of TFC on the day of discharge from the hospital
On the day of patient's discharge from the hospital
Early patient outcome 1b
Time Frame: On the day of patient's discharge from the hospital
Early patient outcomes: repeated evaluation TFC index on the day of discharge from the hospital
On the day of patient's discharge from the hospital
Early patient outcome 2a
Time Frame: On the day of patient's discharge from the hospital
Early patient outcomes: repeated evaluation of cardiac output (CO) on the day of discharge from the hospital
On the day of patient's discharge from the hospital
Early patient outcome 2b
Time Frame: On the day of patient's discharge from the hospital
Early patient outcomes: repeated evaluation of CO index on the day of discharge from the hospital
On the day of patient's discharge from the hospital
Early patient outcome 3
Time Frame: On the day of patient's discharge from the hospital
Early patient outcomes: repeated evaluation of systolic time ratio (STR) on the day of discharge from the hospital
On the day of patient's discharge from the hospital
Early patient outcome 4a
Time Frame: On the day of patient's discharge from the hospital
Early patient outcomes: repeated evaluation of left cardiac work (LCW) on the day of discharge from the hospital
On the day of patient's discharge from the hospital
Early patient outcome 4b
Time Frame: On the day of patient's discharge from the hospital
Early patient outcomes: repeated evaluation of left cardiac work index (LCWI) on the day of discharge from the hospital
On the day of patient's discharge from the hospital
Serum BNP level
Time Frame: On the day of patient's discharge from the hospital
Serum BNP level on the day of discharge from the hospital
On the day of patient's discharge from the hospital

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Andrius Ališauskas, MD, Lithuanian University of Health Sciences

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 (Actual)

December 20, 2019

Primary Completion (Actual)

June 30, 2022

Study Completion (Actual)

June 30, 2022

Study Registration Dates

First Submitted

April 6, 2022

First Submitted That Met QC Criteria

July 27, 2022

First Posted (Actual)

July 29, 2022

Study Record Updates

Last Update Posted (Actual)

July 29, 2022

Last Update Submitted That Met QC Criteria

July 27, 2022

Last Verified

July 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Yes

IPD Plan Description

All individual participant data that underlie results in a publication.

IPD Sharing Time Frame

Data will be available from 2022-08-01 through 2027-08-01.

IPD Sharing Access Criteria

Data will be shared with other principal investigators in the field of congestive heart failure research. Requests should be submitted to study's principal investigator MD Andrius Ališauskas at: andrius.alisauskas@lsmu.lt

IPD Sharing Supporting Information Type

  • Study Protocol
  • Statistical Analysis Plan (SAP)
  • Informed Consent Form (ICF)
  • Clinical Study Report (CSR)

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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