Invasive & Non-Invasive Electrophysiology
|
Catheter Ablation
|
Pacing & Defibrillation
|
Heart Failure
|
Cardiac Imaging
|
Angiogenesis & Genetics
|
Emerging Cardiovascular Technologies
|
Presentation
CARDIOSTIM 2010
June 16-19, 2010
Nice Acropolis - French Riviera
17th World Congress
in Cardiac Electrophysiology & Cardiac Techniques
DECODE
DECODE overviewData from the decompensation detection
Are external sensors useful to alert impending HF decompensation event?
DECODE: Patients (699) with CRT-D devices programmed to non-rate-responsive pacing modes were enrolled for a total of 759.5 pt-yrs.
Weights, BP and symptoms were collected by remote-monitoring during normal LATITUDE usage. There were 178 events from 103 patients (121.9 pt-yrs). Data from day of event and 14-days afterwards (or after hospital discharge) were excluded from analysis. Daily change from a 28-day moving baseline was determined (Weight, BP). Symptoms were expresses as % symptomatic responses. These were compared between 14-day pre-event windows and other times.
Weights, BP and symptoms were collected by remote-monitoring during normal LATITUDE usage. There were 178 events from 103 patients (121.9 pt-yrs). Data from day of event and 14-days afterwards (or after hospital discharge) were excluded from analysis. Daily change from a 28-day moving baseline was determined (Weight, BP). Symptoms were expresses as % symptomatic responses. These were compared between 14-day pre-event windows and other times.
Patient weight and the fatigue and waking breathless symptoms are significantly increased in the 14-days prior to HF events.
These values may be useful for alerting worsening HF events.
DECODE weight sub-analysis: Relationship of Weight with Heart Failure Decompensation
Methods: Data were from 79 pts (92.0 pt-yrs). The last weight within 4 days before an episode was used to find relative weights for a 28-day pre-episode period.
These values may be useful for alerting worsening HF events.
DECODE weight sub-analysis: Relationship of Weight with Heart Failure Decompensation
Methods: Data were from 79 pts (92.0 pt-yrs). The last weight within 4 days before an episode was used to find relative weights for a 28-day pre-episode period.
Results: Relative weights were different by pre-episode day (p<0.0001, Kruskal-Wallis) and increased (p<0.0001, ANOVA) at 0.175 lbs/day over the 28-day pre-episode period.
Weight increase prior to HF episodes and may start about 2 to 3 week before the episode.
Conclusions:
Remote weight monitoring and symptoms analysis may be useful for alerting to worsening HF events.
References:
Weight increase prior to HF episodes and may start about 2 to 3 week before the episode.
Conclusions:
Remote weight monitoring and symptoms analysis may be useful for alerting to worsening HF events.
References:
