Luca Santini MD , Leonardo Calò MD , Antonio D’Onofrio MD , Michele Manzo MD , Antonio Dello Russo MD , Gianluca Savarese MD , Domenico Pecora MD , Claudia Amellone MD , Vincenzo Ezio Santobuono MD, PhD , Raimondo Calvanese MD , Miguel Viscusi MD , Ennio Pisanò MD , Antonio Pangallo MD , Antonio Rapacciuolo MD , Matteo Bertini MD, PhD , Carlo Lavalle MD , Amato Santoro MD , Monica Campari MS , Sergio Valsecchi PhD , Giuseppe Boriani MD, PhD
{"title":"多传感器植入式除颤器算法测量的双心室起搏量与心衰状态之间的关系","authors":"Luca Santini MD , Leonardo Calò MD , Antonio D’Onofrio MD , Michele Manzo MD , Antonio Dello Russo MD , Gianluca Savarese MD , Domenico Pecora MD , Claudia Amellone MD , Vincenzo Ezio Santobuono MD, PhD , Raimondo Calvanese MD , Miguel Viscusi MD , Ennio Pisanò MD , Antonio Pangallo MD , Antonio Rapacciuolo MD , Matteo Bertini MD, PhD , Carlo Lavalle MD , Amato Santoro MD , Monica Campari MS , Sergio Valsecchi PhD , Giuseppe Boriani MD, PhD","doi":"10.1016/j.cvdhj.2024.02.005","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>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.</p></div><div><h3>Objective</h3><p>This study aimed to investigate the relationship between daily BiV% in CRT ICD patients and their HF status, assessed using the HeartLogic algorithm.</p></div><div><h3>Methods</h3><p>The HeartLogic algorithm was activated in 306 patients across 26 centers, with a median follow-up of 26 months (25th–75th percentile: 15–37).</p></div><div><h3>Results</h3><p>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; <em>P</em> = .045) and lower BiV% (hazard ratio: 3.97; 95% CI: 1.74–9.06; <em>P</em>=.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%]).</p></div><div><h3>Conclusion</h3><p>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.</p></div>","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"5 3","pages":"Pages 164-172"},"PeriodicalIF":2.6000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666693624000124/pdfft?md5=601cba59beb6c2265565914c3c53d6ca&pid=1-s2.0-S2666693624000124-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm\",\"authors\":\"Luca Santini MD , Leonardo Calò MD , Antonio D’Onofrio MD , Michele Manzo MD , Antonio Dello Russo MD , Gianluca Savarese MD , Domenico Pecora MD , Claudia Amellone MD , Vincenzo Ezio Santobuono MD, PhD , Raimondo Calvanese MD , Miguel Viscusi MD , Ennio Pisanò MD , Antonio Pangallo MD , Antonio Rapacciuolo MD , Matteo Bertini MD, PhD , Carlo Lavalle MD , Amato Santoro MD , Monica Campari MS , Sergio Valsecchi PhD , Giuseppe Boriani MD, PhD\",\"doi\":\"10.1016/j.cvdhj.2024.02.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>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.</p></div><div><h3>Objective</h3><p>This study aimed to investigate the relationship between daily BiV% in CRT ICD patients and their HF status, assessed using the HeartLogic algorithm.</p></div><div><h3>Methods</h3><p>The HeartLogic algorithm was activated in 306 patients across 26 centers, with a median follow-up of 26 months (25th–75th percentile: 15–37).</p></div><div><h3>Results</h3><p>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; <em>P</em> = .045) and lower BiV% (hazard ratio: 3.97; 95% CI: 1.74–9.06; <em>P</em>=.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%]).</p></div><div><h3>Conclusion</h3><p>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.</p></div>\",\"PeriodicalId\":72527,\"journal\":{\"name\":\"Cardiovascular digital health journal\",\"volume\":\"5 3\",\"pages\":\"Pages 164-172\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666693624000124/pdfft?md5=601cba59beb6c2265565914c3c53d6ca&pid=1-s2.0-S2666693624000124-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cardiovascular digital health journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666693624000124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiovascular digital health journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666693624000124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm
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.