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A Feasibility Study on Prediction of an ICD Shock by ICD-derived Data

PREDICTion of Implantable-Cardioverter Defibrillator Shock Study

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01822145
Acronym
PREDICT-ICDS
Enrollment
60
Registered
2013-04-02
Start date
2013-03-31
Completion date
2016-01-31
Last updated
2015-09-04

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

Conditions

Sudden Cardiac Arrest, Ventricular Fibrillation, Ventricular Tachycardia

Keywords

implantable-cardioverter-defibrillator, ventricular tachycardia, ventricular fibrillation, sudden cardiac arrest

Brief summary

The primary hypothesis is that an ICD shock may be predicted days in advance by a combined score derived from different data obtainable from the ICD

Interventions

DEVICEICD

Sponsors

Princess Margaret Hospital, Hong Kong
Lead SponsorOTHER_GOV

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

1. Age ≧ 18 and ≦ 80 2. Patients have documented spontaneous and sustained ventricular arrhythmias in the last six months prior to the enrollment 3. Patients who are in sinus rhythm, have dual-chamber ICD or CRT-D implanted at least one month before enrollment 4. Patients who are in atrial fibrillation, have single-chamber ICD or CRT-D implanted at least one month before enrollment 5. Patients who are compliant to CareLink follow-up

Exclusion criteria

1. Patients who are pregnant 2. Patients who are incapable of giving consent to the study 3. Patients who have a life-expectancy of less than 2 years

Design outcomes

Primary

MeasureTime frameDescription
ICD-derived T-wave alternans amplitude before ICD shock6 monthsThe T-wave alternans amplitude before an ICD shock will be measured in mV and compared to the baseline T-wave alternans amplitude

Countries

China

Contacts

Primary ContactNgai Yin Chan, MBBS
ngaiyinchan@yahoo.com.hk852 2990 1111

Outcome results

None listed

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