The Signal-averaged ElectrocArdiogram in Long Term Follow-up of Chronic CHagas Disease - RIO de Janeiro Cohort (SEARCH-Rio)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01340963
Recruitment Status : Completed
First Posted : April 25, 2011
Last Update Posted : December 10, 2013
Rio de Janeiro State University
The University of Texas Health Science Center, Houston
Instituto Nacional de Cardiologia de Laranjeiras
Information provided by (Responsible Party):
Paulo Roberto Benchimol Barbosa, Universidade Gama Filho

Brief Summary:

The study investigated 100 subjects, both genders, with chronic Chagas disease, confirmed by at least two distinct serological tests, and classified according to Los Andes classification in a long term follow-up aiming at identifying the predictive value of the signal-averaged electrocardiogram for cardiac death and ventricular tachycardia.

All subjects admitted to the study were submitted to clinical history taking, physical examination, and noninvasive assessment, including blood pressure measurement, resting 12-lead surface electrocardiogram, 24h ambulatory electrocardiogram monitoring, M-Mode/two-dimensional echocardiogram, signal-averaged electrocardiogram in both time and frequency domains. Selected subjects were further submitted to treadmill stress test and coronary angiography to rule out coronary heart disease.

Subjects were followed by non-investigational primary care assistance at three to six months scheduled clinical visits on an outpatients basis. Both noninvasive and invasive evaluation during follow-up were requested at discretion of primary evaluation. Adverse outcomes were ascertained by review of medical records and active contact to either study subjects or their relatives.

Condition or disease
Chagas Cardiomyopathy Cardiac Arrhythmia Stroke Left Ventricular Function Systolic Dysfunction Cardiac Death

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Detailed Description:


Longitudinal prospective study, with a cohort of 100 consecutive outpatient subjects (34 to 74 years old; 31 females) with Chagas' disease followed-up for at least 10 years at the cardiomyopathy outpatient clinic of University Hospital, Rio de Janeiro, RJ, Brazil, a tertiary care center. Enrollment was from 1995 to 1999. Subjects were born in endemic regions of Minas Gerais, Goias or Bahia States of Brazil and Chagas' disease was diagnosed on basis of two positive serum tests, hemagglutination cruzipain-ELISA and indirect immunofluorescence. All subjects were referred to the arrhythmia for risk stratification. At the time of admission none had received nitroderivative therapy. Subjects were classified according to the severity of heart involvement according to Los Andes classification, and divided into three groups: class I - 28 subjects (group 1), class II - 48 subjects (group 2), and class III - 24 subjects (group 3). Clinical and laboratory data were assessed during a personal interview and review of medical records. On admission, all subjects were in New York Heart Association functional class I or II, had normal sinus rhythm and normal PR intervals. Exclusion criteria at initial enrollment were: any degree of atrioventricular block or non-sinus rhythm, previous documented acute coronary events (unstable angina or myocardial infarction), chronic obstructive pulmonary disease, rheumatic valvular heart disease, alcohol addiction, thyroid dysfunction or abnormal serum electrolytes. Treadmill stress test and/or coronary artery angiogram were indicated in selected subjects to rule out concomitant coronary artery disease. World Health Organization and Helsinki Treaty regulations reviewed in Venice (1983) were followed and all subjects provided informed consent to participate.

Clinical follow-up:

All subjects have been followed-up by the same team of physicians. Medical visits have been scheduled at the outpatient clinics in a three to six-month interval. Medications were prescribed at the discretion of the physician who performed the primary evaluation. Body weight varied <2 kg during follow-up, and serum potassium varied from 3.5 to 5 milliequivalent/L. Mild systemic arterial hypertension (systolic arterial pressure ranging from 140 mmHg and 155 mmHg, or diastolic arterial pressure ranging from 90 mmHg and 105 mmHg) was observed in 41% of the subjects and all received anti-hypertensive medication (converting enzyme inhibitors, diuretics, vasodilators and/or beta-blockers) at the discretion of the physician who performed the primary evaluation in order to reduce blood pressure levels to less than 140/90 mmHg. All regularly followed at scheduled clinical visits. The endpoints were described elsewhere in this registry. All causes of adverse events were ascertained by active search of relatives and review of the medical records.

Resting surface 12-lead ECG and plain chest roentgenogram

For each patient, standard resting 12-lead ECGs were recorded in the supine position (with simultaneous 3-lead acquisition) with a Cardimax ECAPS 12 2000 Compliant Electrocardiograph (Nihon-Kohden Co, Tokyo, Japan). Electrocardiographic abnormalities were classified according to standard criteria for conduction disturbances (intraventricular and atrioventricular), chamber overload, and abnormal Q waves [11]. The electrocardiographic variables assessed is sinus rhythm were: maximum P-wave duration and PR interval (typically in lead II), QRS complex duration (the longest ventricular duration in precordial leads), maximal absolute QRS complex in any precordial lead, presence of bundle branch block and/or left fascicular-block, presence of abnormal Q waves (Q-wave, defined as the first QRS deflection >1-mm deep and >0.04-ms wide), and left atrial overload (P-wave duration in lead II >110 ms or Morris index in V1 >4 In antero-septal leads (V1, V2 and V3) and in inferior leads (L2, L3 and aVF) the presence of Q-wave in two out of three leads was considered abnormal. An independent observer blind to the study analyzed the electrocardiographic records that were automatically obtained from electrocardiograph equipment. Subsequent 12-lead resting ECGs were recorded at each clinical visit in order to assess cardiac rhythm during follow-up. Plain chest roentgenogram was carried out on the same day and cardiomegaly was defined by a cardiothoracic ratio of more than 0.50.

M-mode/2-D Echocardiogram

M-mode and two-dimensional echocardiograms were performed using an Apogee CX-200 equipment (ATL, Bothell, Washington, USA) with a 4-megahertz broadband transducer. The echocardiograms were analyzed by a trained observer blinded to the study protocol Echocardiographic parameters were assessed according to standard procedures of the Section of Echocardiography of the Department of Cardiology, with special care taken to detect left ventricular apical aneurysms. The echocardiographic parameters assessed were left ventricular ejection fraction (LVEF) calculated by the teichholz method, left atrial diameter (LAD), presence of pulmonary arterial hypertension (defined as maximal pulmonary arterial pressure > 30 mmHg, diastolic dysfunction, and the presence of an apical aneurysm. Normal cut-off value for LVEF was defined as >50%. Routine echocardiograms were performed in order to track changes in LVEF during follow-up.

24h Ambulatory ECG Monitoring

Twenty-four-hour ambulatory ECG monitoring was performed using a three-channel DMS-cassette-tape recorder and carefully analyzed using the Del-Mar Avionics StrataScan System (Del Mar Avionics, Irvine, California, USA) by a trained observer blind to the study in order to assess the presence of ventricular arrhythmia and atrioventricular conduction disturbances. Variables assessed in the 24h ambulatory ECG were: i) isolated premature supraventricular contractions ii) nonsustained supraventricular tachycardia defined as a sequence of three of more supraventricular ectopic beats, iii) isolated premature ventricular contractions, and iv) ventricular tachycardia episodes (defined as: heart rate >100 bpm, QRS duration >120 ms, three or more consecutive ventricular complexes, and atrial-ventricular dissociation).

The standard-deviation of all consecutive normal interbeat intervals in 24h (24h SDNN) was employed to assess heart rate variability. Normal cut-off point was defined at >=100ms. During follow-up, 24h ambulatory ECG were performed at the discretion of attending physician's judgment in order to assess cardiac rhythm and arrhythmia. One trained specialist blind to Los Andes classification groups analyzed all tape recordings immediately after their acquisition.

Signal-averaged electrocardiogram

Signal-averaged electrocardiogram (SAECG) was employed to asses the presence of both ventricular late potentials and intraventricular electrical transients (IVET).

SAECG was acquired in sinus rhythm with a Predictor-IIc equipment (ART Inc., Fitchburg, Massachusetts, USA) using modified XYZ Frank orthogonal leads and QRS-triggered coherent-averaged up to the noise level of 0.3 microvolt. SAECGs were analyzed in both time and frequency domains by an independent observer blinded to the study patients information. After signal average ECG acquisition, time domain analysis was carried out on vector magnitude (VM), using a bidirectional 4th order 40 Hz to 250 Hz band-pass Butterworth filter. The variables extracted from VM were: duration of VM (DUR [ms]), root-mean-squared voltage of last 40ms of VM (RMS40[microvolt]) duration of potentials below 40 microvolt at the terminal portion of VM (LAS40[ms]). Due to the presence of bundle branch block as a common finding in Chagas disease, normal cut-off point for DUR was defined at >150ms.

The onset and offset points of VM delimited the analytic region for frequency domain analysis, by using the spectral turbulence analysis approach. The analytic region in VM was preprocessed to extract the first derivative, aiming at removing the high-amplitude low-frequency components. The derived signal was cut into slices to build a power spectral density time-frequency map by applying the short-time Fourier transform. Each data segment was limited in 25 ms, with 2 ms interval between successive segments to assure adequate time-resolution, tapered by a Blackmann-Harris window after mean removal, and zero-padded to 64 points. After Fourier transform of a particular segment, its spectral amplitude was squared to obtain the estimated power spectral density function. Successive power spectral density function estimates in the analytic region were attached in a three-dimensional map. The boundaries of the analytic region (up to 200 ms duration) were placed 25 ms prior to the onset of the VM and to a point on the ST segment 50 ms after the offset of the VM. In the time frequency map, spectral turbulence was studied by comparing sequential spectral estimates. We calculated Pearson's correlation coefficient between adjacent power spectral function estimates throughout ventricular activation, and deployed the correlation coefficients in a time series, of which the mean and the standard deviation of the intersegment spectral correlation (abbreviated as MSC and SSC, respectively) were calculated. Additionally, we calculated the frequency corresponding to 80% of the total area under a particular power spectral function estimate, starting at zero Hz, which practically represented the edge or the border, and deployed the edge frequency, thus calculated, in a time series. The mean and the standard deviation of the electrical transients (abbreviated as MET and SET, respectively) of the edge frequency series were extracted. Power spectral estimates were limited to the range from 0 to 300 Hz in order to avoid interference of high frequency noise during correlation. MSC and SSC were multiplied by 100 to simplify calculations. Normality threshold values have been defined previously as MSC>94, SSC<=6, MET<=78 and The SET<=31. The presence of intraventricular electrical transients (IVET+) was optimally defined when 2 out of 4 variables were outside normality range. We used the above method based on our hypothesis that the presence of high frequency electrical transients, representing underlying electrically unstable myocardial areas, would determine the reduction of intersegment correlation. Likewise, high frequency transients would increase the energy content of a spectral estimate and the shift the spectral border rightward, to a higher frequency.

Study Type : Observational
Actual Enrollment : 100 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: Prognostic Value of the Spectral Turbulence Analysis of the Signal-averaged Electrocardiogram in Chagas Heart Disease
Study Start Date : June 1995
Actual Primary Completion Date : March 2001
Actual Study Completion Date : December 2012

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Chagas Disease
U.S. FDA Resources

Class I
Structurally normal heart, no bundle branch block
Class II
Mild symptoms, bundle brunch block or hemi-block on resting surface electrocardiogram, normal cardiac silhouette on plain chest X-ray film, left ventricular diastolic dysfunction as relaxation deficit (type I), none or mild global left ventricular systolic dysfunction
Class III
Overtly symptomatic, enlarged cardiac silhouette on plain chest X-ray film, left ventricular diastolic dysfunction, global systolic dysfunction, ventricular tachycardia, atrio-ventricular block (any degree)

Primary Outcome Measures :
  1. Cardiac death [Time Frame: up to 10 years ] [ Time Frame: up tp 10 years ]

    Defined as intractable heart failure, arrhythmic, coronary occlusion, or sudden death.

    Assessment twice an year by active and direct contact to subjects or relatives and review of medical records.

Secondary Outcome Measures :
  1. Ventricular tachycardia [ Time Frame: up to ten years ]

    New onset ventricular tachycardia defined as symptomatic (palpitations, dizziness or syncope), >=3 consecutive beats, bundle branch block configuration, ventricular rate >100bpm, atrial-ventricular dissociation.

    Assessed with 24h-ambulatory electrocardiogram monitoring requested at discretion of non-investigational primary evaluation and confirmed by review of medical records.

  2. Stroke, either fatal or nonfatal [ Time Frame: up to 10 years ]

    Evidence of clinically definite stroke (focal neurological deficits persisting for more than 24 hours) confirmed or not by non-investigational CT.

    Assessment twice an year by active and direct contact to patents or relatives and review of medical records.

  3. Persistent atrial fibrillation [ Time Frame: up to 10 years ]

    Irregular non-sinus interbeat interval, lasting more that 24h, confirmed by either non-investigational 24h ambulatory electrocardiogram monitoring or resting 12-lead surface electrocardiogram two to four times a year.

    Assessment by review of medical records.

  4. Cardiac function and dimensions [ Time Frame: up to 10 years ]

    Non-investigational M-mode/2-D echocardiographic evaluation at the discretion of primary care assistance.

    Assessment by review of medical records.

Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.

Ages Eligible for Study:   18 Years to 75 Years   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
One hundred clinically stable subjects with at least 10 years of regular outpatients follow-up and positive epidemiological history and serological confirmation of Chagas disease with ate least two immunological tests.

Inclusion Criteria:

  • Clinically stable outpatients with at least 10 years of regular outpatients follow-up and positive epidemiological history and serological confirmation of Chagas disease with ate least two immunological tests

Exclusion Criteria:

  • Any degree of atrioventricular block or non-sinus rhythm
  • Previous documented acute coronary events (due to documented obstructive epicardial coronary vessels)
  • Chronic obstructive pulmonary disease
  • Rheumatic valvular heart disease
  • Alcohol addiction
  • Thyroid dysfunction
  • Abnormal serum electrolytes and biochemical abnormalities

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT01340963

United States, Texas
University of Texas at Houston
Houston, Texas, United States, 77030
Hospital Universitário Pedro Ernesto
Rio de Janeiro, RJ, Brazil, 20551-900
Universidade Gama Filho
Rio de Janeiro, RJ, Brazil, 20740-900
Instituto Nacional de Cardiologia
Rio de Janeiro, RJ, Brazil
Sponsors and Collaborators
Universidade Gama Filho
Rio de Janeiro State University
The University of Texas Health Science Center, Houston
Instituto Nacional de Cardiologia de Laranjeiras
Principal Investigator: Paulo R Benchimol-Barbosa, MD, DSc Rio de Janeiro State University

Publications of Results:
Benchimol-Barbosa PR, Kantharia BK, Carvalhaes CG. Nonlinear Dynamics in Long-Term Left Ventricular Remodeling in Chagas Heart Disease and Adverse Outcomes: SEARCH-Rio Substudy. Circulation Research. 2012;111:A351
Benchimol-Barbosa PR, Tura BR, Barbosa E, Barbosa-Filho J, Kantharia BK. A Novel Risk Score Based on Noninvasive ECG Monitoring Aiming at Predicting Ventricular Tachycardia and Cardiac Death in Chronic Chagas Disease. Circulation. 2010; 122: A19759.
Benchimol-Barbosa PR, Duque GS, Barbosa-Filho J. Long term cardiac remodelling in chronic Chagas' heart disease. Eur Heart J; 2008. 29(suppl 1): 441-441. doi:10.1093/eurheartj/ehn375
Benchimol-Barbosa PR, Duque GS, Barbosa EC, Bomfim AS, Dantas-Carletti MS, Barbosa-Filho J. High spectral turbulence in signal-averaged electrocardiogram is an independent predictor for cardiac death in long-term follow-up of subjects with chronic Chagas disease. Eur Heart J; 2009. 30(suppl 1): 697-697. doi:10.1093/eurheartj/ehp415
Benchimol-Barbosa PR, Tura BR, Barbosa EC, Barbosa-Filho J, Kantharia BK. A novel risk score for predicting cardiac death in chronic chagas heart disease based on spectral turbulence analysis of the signal-averaged ECG. Eur Heart J; 2010. 31(suppl 1): 163-163. doi:10.1093/eurheartj/ehq287
Benchimol-Barbosa PR, Tura BR, Barbosa-Filho J, Kantharia BK. Increasing 24h incidence of isolated PVC is associated with growing complexity and incidence of cardiac tachyarrhythmia in Chagas heart disease. Eur Heart J; 2010. 31(suppl 1): 480-480. doi:10.1093/eurheartj/ehq288
Benchimol-Barbosa PR. Clinical characteristics of spontaneous ventricular tachycardia episodes associated with unfavorable prognosis in chronic Chagas disease. Eur Heart J; 2010. 31(suppl 1): 480-480. doi:10.1093/eurheartj/ehq288
PR Benchimol-Barbosa. Ventricular tachyarrhythmic events triggers in chronic Chagas disease. Eur Heart J; 2010. 31(suppl 1): 481-481. doi:10.1093/eurheartj/ehq288

Other Publications:
Responsible Party: Paulo Roberto Benchimol Barbosa, Head Researcher, Universidade Gama Filho Identifier: NCT01340963     History of Changes
Other Study ID Numbers: 012345/96
First Posted: April 25, 2011    Key Record Dates
Last Update Posted: December 10, 2013
Last Verified: December 2013

Keywords provided by Paulo Roberto Benchimol Barbosa, Universidade Gama Filho:
Chagas heart disease
ventricular tachycardia
atrial fibrillation
cardiac death
signal averaged electrocardiogram

Additional relevant MeSH terms:
Arrhythmias, Cardiac
Chagas Cardiomyopathy
Heart Diseases
Cardiovascular Diseases
Pathologic Processes
Chagas Disease
Euglenozoa Infections
Protozoan Infections
Parasitic Diseases