Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm.
Cardiovasc Digit Health J
; 5(3): 164-172, 2024 Jun.
Article
in En
| MEDLINE
| ID: mdl-38989039
ABSTRACT
Background:
Achieving a high biventricular pacing percentage (BiV%) is crucial for optimizing outcomes in cardiac resynchronization therapy (CRT). The HeartLogic index, a multiparametric heart failure (HF) risk score, incorporates implantable cardioverter-defibrillator (ICD)-measured variables and has demonstrated its predictive ability for impending HF decompensation.Objective:
This study aimed to investigate the relationship between daily BiV% in CRT ICD patients and their HF status, assessed using the HeartLogic algorithm.Methods:
The HeartLogic algorithm was activated in 306 patients across 26 centers, with a median follow-up of 26 months (25th-75th percentile 15-37).Results:
During the follow-up period, 619 HeartLogic alerts were recorded in 186 patients. Overall, daily values associated with the best clinical status (highest first heart sound, intrathoracic impedance, patient activity; lowest combined index, third heart sound, respiration rate, night heart rate) were associated with a BiV% exceeding 99%. We identified 455 instances of BiV% dropping below 98% after consistent pacing periods. Longer episodes of reduced BiV% (hazard ratio 2.68; 95% CI 1.02-9.72; P = .045) and lower BiV% (hazard ratio 3.97; 95% CI 1.74-9.06; P=.001) were linked to a higher risk of HeartLogic alerts. BiV% drops exceeding 7 days predicted alerts with 90% sensitivity (95% CI [74%-98%]) and 55% specificity (95% CI [51%-60%]), while BiV% ≤96% predicted alerts with 74% sensitivity (95% CI [55%-88%]) and 81% specificity (95% CI [77%-85%]).Conclusion:
A clear correlation was observed between reduced daily BiV% and worsening clinical conditions, as indicated by the HeartLogic index. Importantly, even minor reductions in pacing percentage and duration were associated with an increased risk of HF alerts.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Cardiovasc Digit Health J
Year:
2024
Document type:
Article
Affiliation country:
Italy
Country of publication:
United States