1
|
Kwon A, Denomme PT. Impact of a pharmacist-managed remote heart failure program in patients with a multisensor-capable implanted device. Am J Health Syst Pharm 2024; 81:S49-S54. [PMID: 38323631 DOI: 10.1093/ajhp/zxae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Indexed: 02/08/2024] Open
Abstract
PURPOSE Added layers of remote management in heart failure (HF) have become available for patients with an implantable cardioverter defibrillator (ICD). The aim of this study was to investigate the impact of pharmacist-managed HF monitoring in patients with a multisensor-capable ICD. METHODS This was a retrospective, data-only, single-arm study that compared primary outcome events individually in the preactivation and postactivation periods at a single center. The primary outcomes were the total number of all-cause and HF-related hospitalizations and all-cause emergency department (ED) visits and the median length of stay for all-cause and HF-related hospitalizations. The secondary outcome quantified medication utilization. RESULTS In total, 132 patients completed the 1-year follow-up period. Overall, there was a 49% reduction in the number of patients with an all-cause hospitalization, a 77% reduction in the number of patients with an HF-related hospitalization, and a 36% reduction in the number of patients with an ED visit. More patients were hospitalized, visited the ED (P < 0.005), and had a longer median length of stay for all-cause hospitalizations in the preactivation period (P < 0.05). Overall medication utilization increased in the postactivation period. CONCLUSION A pharmacist-led remote monitoring program, utilizing a multisensor diagnostic, was effective at significantly reducing hospitalizations, ED visits, and length of stay.
Collapse
Affiliation(s)
- Audrey Kwon
- Kaiser Permanente San Diego, San Diego, CA, USA
| | | |
Collapse
|
2
|
Ahmed FZ, Sammut-Powell C, Martin GP, Callan P, Cunnington C, Kahn M, Kale M, Weldon T, Harwood R, Fullwood C, Gerritse B, Lanctin D, Soken N, Campbell NG, Taylor JK. Association of a device-based remote management heart failure pathway with outcomes: TriageHF Plus real-world evaluation. ESC Heart Fail 2024. [PMID: 38712903 DOI: 10.1002/ehf2.14821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/08/2024] [Accepted: 04/02/2024] [Indexed: 05/08/2024] Open
Abstract
AIMS Clinical pathways have been shown to improve outcomes in patients with heart failure (HF). Although patients with HF often have a cardiac implantable electronic device, few studies have reported the utility of device-derived risk scores to augment and organize care. TriageHF Plus is a device-based HF clinical pathway (DHFP) that uses remote monitoring alerts to trigger structured telephone assessment for HF stability and optimization. We aimed to evaluate the impact of TriageHF Plus on hospitalizations and describe the associated workforce burden. METHODS AND RESULTS TriageHF Plus was a multi-site, prospective study that compared outcomes for patients recruited between April 2019 and February 2021. All alert-triggered assessments were analysed to determine the appropriateness of the alert and the workload burden. A negative-binomial regression with inverse probability treatment weighting using a time-matched usual care cohort was applied to estimate the effect of TriageHF Plus on non-elective hospitalizations. A post hoc pre-COVID-19 sensitivity analysis was also performed. The TriageHF Plus cohort (n = 443) had a mean age of 68.8 ± 11.2 years, 77% male (usual care cohort: n = 315, mean age of 66.2 ± 14.5 years, 65% male). In the TriageHF Plus cohort, an acute medical issue was identified following an alert in 79/182 (43%) cases. Fifty assessments indicated acute HF, requiring clinical action in 44 cases. At 30 day follow-up, 39/66 (59%) of initially symptomatic patients reported improvement, and 20 (19%) initially asymptomatic patients had developed new symptoms. On average, each assessment took 10 min. The TriageHF Plus group had a 58% lower rate of hospitalizations across full follow-up [incidence relative ratio: 0.42, 95% confidence interval (CI): 0.23-0.76, P = 0.004]. Across the pre-COVID-19 window, hospitalizations were 31% lower (0.69, 95% CI: 0.46-1.04, P = 0.077). CONCLUSIONS These data represent the largest real-world evaluation of a DHFP based on multi-parametric risk stratification. The TriageHF Plus clinical pathway was associated with an improvement in HF symptoms and reduced all-cause hospitalizations.
Collapse
Affiliation(s)
- Fozia Zahir Ahmed
- Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Camilla Sammut-Powell
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Glen P Martin
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Paul Callan
- Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Colin Cunnington
- Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Matthew Kahn
- Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, UK
| | - Mita Kale
- Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Toni Weldon
- Department of Cardiology, Northern Care Alliance NHS Foundation Trust, Manchester, UK
| | - Rachel Harwood
- Statistics Department, Research and Innovation, Manchester University NHS Foundation Trust, Manchester, UK
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Catherine Fullwood
- Statistics Department, Research and Innovation, Manchester University NHS Foundation Trust, Manchester, UK
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | | | | | | | - Niall G Campbell
- Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Joanne K Taylor
- Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| |
Collapse
|
3
|
de Juan Bagudá J, Cózar León R, Gavira Gómez JJ, Pachón M, Goirigolzarri Artaza J, Martínez Mateo V, Escolar Pérez V, Iniesta Manjavacas ÁM, Rivas Gándara N, Álvarez-García J, Sánchez Ramos JG, Aguilera Agudo C, Rubín López JM, Macías Gallego A, López Fernández S, González Torres L, Martínez JG, Marrero Negrín N, Ramos Maqueda J, Cabrera Ramos M, Medina Gil JM, De Diego Rus C, Bermúdez Jiménez FJ, Madrazo I, Díaz Molina B, Cobo Marcos M, Ruiz Duthil AD, Cordero D, Méndez Fernández AB, Peña Conde L, Arcocha Torres MF, Pérez Castellano N, Arias MÁ, García Bolao I, Díaz Infante E, Campari M, Arribas Ynsaurriaga F, Delgado Jiménez JF, Valsecchi S, Salguero Bodes R. Clinical impact of remote heart failure management using the multiparameter ICD HeartLogic alert. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2024:S1885-5857(24)00148-8. [PMID: 38697283 DOI: 10.1016/j.rec.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/17/2024] [Indexed: 05/04/2024]
Abstract
INTRODUCTION AND OBJECTIVES The multiparametric implantable cardioverter-defibrillator HeartLogic index has proven to be a sensitive and timely predictor of impending heart failure (HF) decompensation. We evaluated the impact of a standardized follow-up protocol implemented by nursing staff and based on remote management of alerts. METHODS The algorithm was activated in HF patients at 19 Spanish centers. Transmitted data were analyzed remotely, and patients were contacted by telephone if alerts were issued. Clinical actions were implemented remotely or through outpatient visits. The primary endpoint consisted of HF hospitalizations or death. Secondary endpoints were HF outpatient visits. We compared the 12-month periods before and after the adoption of the protocol. RESULTS We analyzed 392 patients (aged 69±10 years, 76% male, 50% ischemic cardiomyopathy) with implantable cardioverter-defibrillators (20%) or cardiac resynchronization therapy defibrillators (80%). The primary endpoint occurred 151 times in 86 (22%) patients during the 12 months before the adoption of the protocol, and 69 times in 45 (11%) patients (P<.001) during the 12 months after its adoption. The mean number of hospitalizations per patient was 0.39±0.89 pre- and 0.18±0.57 postadoption (P<.001). There were 185 outpatient visits for HF in 96 (24%) patients before adoption and 64 in 48 (12%) patients after adoption (P<.001). The mean number of visits per patient was 0.47±1.11 pre- and 0.16±0.51 postadoption (P<.001). CONCLUSIONS A standardized follow-up protocol based on remote management of HeartLogic alerts enabled effective remote management of HF patients. After its adoption, we observed a significant reduction in HF hospitalizations and outpatient visits.
Collapse
Affiliation(s)
- Javier de Juan Bagudá
- Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Medicina, Facultad de Medicina, Salud y Deporte, Universidad Europea de Madrid, Madrid, Spain.
| | - Rocío Cózar León
- Servicio de Cardiología, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Juan J Gavira Gómez
- Servicio de Cardiología, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Marta Pachón
- Unidad de Arritmias, Hospital Universitario de Toledo, Toledo, Spain
| | - Josebe Goirigolzarri Artaza
- Instituto Cardiovascular, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | | | | | | | | | - Jesús Álvarez-García
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Servicio de Cardiología, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | | | - Cristina Aguilera Agudo
- Servicio de Cardiología, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | - José Manuel Rubín López
- Servicio de Cardiología, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain
| | - Alfonso Macías Gallego
- Servicio de Cardiología, Hospital Nuestra Señora del Prado, Talavera de la Reina, Toledo, Spain
| | - Silvia López Fernández
- Servicio de Cardiología, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - Luis González Torres
- Unidad de Arritmias, Servicio de Cardiología, Hospital Universitario de Elche Vinalopó, Elche, Alicante, Spain
| | - Juan Gabriel Martínez
- Servicio de Cardiología, Hospital General Universitario Dr. Balmis, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain
| | - Natalia Marrero Negrín
- Servicio de Cardiología, Hospital Insular-Materno Infantil Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Javier Ramos Maqueda
- Servicio de Cardiología, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | | | - José María Medina Gil
- Servicio de Cardiología, Hospital Insular-Materno Infantil Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Carlos De Diego Rus
- Unidad de Arritmias, Servicio de Cardiología, Hospital Universitario de Elche Vinalopó, Elche, Alicante, Spain
| | - Francisco José Bermúdez Jiménez
- Servicio de Cardiología, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - Inés Madrazo
- Servicio de Cardiología, Hospital Nuestra Señora del Prado, Talavera de la Reina, Toledo, Spain
| | - Beatriz Díaz Molina
- Servicio de Cardiología, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain
| | - Marta Cobo Marcos
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Servicio de Cardiología, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | | | - David Cordero
- Servicio de Cardiología, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | | | - Laura Peña Conde
- Servicio de Cardiología, Hospital Universitario La Paz, Madrid, Spain
| | | | - Nicasio Pérez Castellano
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto Cardiovascular, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Miguel Á Arias
- Unidad de Arritmias, Hospital Universitario de Toledo, Toledo, Spain
| | - Ignacio García Bolao
- Servicio de Cardiología, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | | | | | - Fernando Arribas Ynsaurriaga
- Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Juan F Delgado Jiménez
- Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | | | - Rafael Salguero Bodes
- Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| |
Collapse
|
4
|
Garcia R, Gras D, Mansourati J, Defaye P, Bisson A, Boveda S, Gandjbakhch E, Gras M, Gueffet JP, Himbert C, Jacon P, Khattar P, Lequeux B, Li A, Mansourati V, Minois D, Marijon E, Pierre B, Probst V, Degand B. Pre-emptive treatment of heart failure exacerbations in patients managed with the HeartLogic™ algorithm. ESC Heart Fail 2024; 11:1228-1235. [PMID: 38234123 DOI: 10.1002/ehf2.14624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/21/2023] [Accepted: 11/20/2023] [Indexed: 01/19/2024] Open
Abstract
AIMS Heart failure (HF) is a chronic disease affecting 64 million people worldwide and places a severe burden on society because of its mortality, numerous re-hospitalizations and associated costs. HeartLogic™ is an algorithm programmed into implanted devices incorporating several biometric parameters which aims to predict HF episodes. It provides an index which can be monitored remotely, allowing pre-emptive treatment of congestion to prevent acute decompensation. We aim to assess the impact and security of pre-emptive HF management, guided by the HeartLogic™ index. METHODS AND RESULTS The HeartLogic™ France Cohort Study is an investigator-initiated, prospective, multi-centre, non-randomized study. Three hundred ten patients with a history of HF (left ventricular ejection fraction ≤40%; or at least one episode of clinical HF with elevated NT-proBNP ≥450 ng/L) and implanted with a cardioverter defibrillator enabling HeartLogic™ index calculation will be included across 10 French centres. The HeartLogic™ index will be monitored remotely for 12 months and in the event of a HeartLogic™ index ≥16, the local investigator will contact the patient for assessment and adjust HF treatment as necessary. The primary endpoint is unscheduled hospitalization for HF. Secondary endpoints are all-cause mortality, cardiovascular death, HF-related death, unscheduled hospitalizations for ventricular or atrial arrhythmia and HeartLogic™ index evolution over time. Blood samples will be collected for biobanking, and quality of life will be assessed. Finally, the safety of a HeartLogic™-triggered strategy for initiating or increasing diuretic therapy will be assessed. A blind and independent committee will adjudicate the events. CONCLUSIONS The HeartLogic™ France Cohort Study will provide robust real-world data in a cohort of HF patients managed with the HeartLogic™ algorithm allowing pre-emptive treatment of heart failure exacerbations.
Collapse
Affiliation(s)
- Rodrigue Garcia
- Department of Cardiology, University Hospital of Poitiers, Poitiers, France
- Centre d'investigation clinique 1402, University Hospital of Poitiers, Poitiers, France
| | - Daniel Gras
- Department of Cardiology, Hôpital privé du Confluent, Nantes, France
| | | | - Pascal Defaye
- Department of Cardiology, University Hospital Grenoble Alpes, Grenoble, France
| | - Arnaud Bisson
- Department of Cardiology, University Hospital of Tours, Chambray-lès-Tours, France
- Department of Cardiology, University Hospital of Orléans, Orléans, France
| | - Serge Boveda
- Department of Cardiology, Clinique Pasteur, Toulouse, France
- Universiteit Ziekenhuis, Vrije Universiteit Brussel (VUB), Jette, Belgium
| | | | - Matthieu Gras
- Department of Cardiology, University Hospital of Poitiers, Poitiers, France
| | | | - Caroline Himbert
- Department of Cardiology, Hôpital la Pitié Salpétrière, Paris, France
| | - Peggy Jacon
- Department of Cardiology, University Hospital Grenoble Alpes, Grenoble, France
| | - Pierre Khattar
- Department of Cardiology, Hospital of Lorient, Lorient, France
| | - Benoit Lequeux
- Department of Cardiology, University Hospital of Poitiers, Poitiers, France
| | - Anthony Li
- Department of Cardiology, St. George's University of London, Cranmer Terrace, London, UK
| | | | - Damien Minois
- Department of Cardiology, University Hospital of Nantes, Nantes Cedex 1, France
| | - Eloi Marijon
- Department of Cardiology, Hôpital Européen Georges Pomipdou, Paris, France
- Paris-Sudden Death Expertise Center (Paris-SDEC), Paris, France
| | - Bertrand Pierre
- Department of Cardiology, University Hospital of Tours, Chambray-lès-Tours, France
| | - Vincent Probst
- Department of Cardiology, University Hospital of Nantes, Nantes Cedex 1, France
| | - Bruno Degand
- Department of Cardiology, University Hospital of Poitiers, Poitiers, France
| |
Collapse
|
5
|
Feijen M, Egorova AD, Tops LF, Palmen M, Jukema JW, Schalij MJ, Beeres SLMA. The Potential of the HeartLogic TM Algorithm in Patients with a Left Ventricular Assist Device, an Initial Report. J Cardiovasc Dev Dis 2024; 11:51. [PMID: 38392265 PMCID: PMC10889511 DOI: 10.3390/jcdd11020051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/27/2024] [Accepted: 01/28/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Survival and quality-of-life of left ventricular assist device (LVAD) recipients improved significantly because of growing experience and technological advances. However, LVAD-related complication rates, including recurrent episodes of congestion, remain high. Early detection of fluid retention to provide a time-window for medical intervention is the pillar in preventing hospitalizations. The multisensory HeartLogicTM algorithm accurately detected impending congestion in ambulant heart failure patients. The aim of the current study is to investigate the feasibility of HeartLogicTM-driven care in LVAD patients. METHODS Consecutive LVAD destination therapy patients were followed-up according the structured HeartLogicTM-based heart failure carepath. An alert triggered a device check-up, and the heart failure team contacted the patient to evaluate for signs and symptoms of impending congestion. An alert was adjudicated as true positive or unexplained. An episode of congestion not preceded by an alert was deemed as a false negative. RESULTS Data from 7 patients were included: the median age was 67 years [IQR 61-71], 71% were male and 71% had a non-ischemic aetiology. Total follow-up entailed 12 patient-years. All patients experienced at least one alert. In total, 33 alerts were observed. Majority of alerts (70%, n = 23) were driven by congestion and one alerts (15%) were clinically meaningful but not primarily fluid-retention-related (e.g., altered hemodynamic triggered by a pump thrombosis). Of all the alerts, five (15%) were classified as an unexplained alert, and during follow-up, four false negative episodes were documented. CONCLUSIONS HeartLogicTM-driven care with continuous monitoring to detect impending fluid retention in LVAD patients was feasible and deserves further prospective validation.
Collapse
Affiliation(s)
- Michelle Feijen
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Anastasia D Egorova
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Laurens F Tops
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Meindert Palmen
- Department of Cardiothoracic Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Netherlands Heart Institute, 3511 EP Utrecht, The Netherlands
| | - Martin J Schalij
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Saskia L M A Beeres
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| |
Collapse
|
6
|
Feijen M, Beles M, Tan YZ, Cordon A, Dupont M, Treskes RW, Caputo ML, VAN Bockstal K, Auricchio A, Egorova AD, Maes E, Beeres SLMA, Heggermont WA. Fewer Worsening Heart Failure Events With HeartLogic on top of Standard Care: a Propensity-Matched Cohort Analysis. J Card Fail 2023; 29:1522-1530. [PMID: 37220824 DOI: 10.1016/j.cardfail.2023.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 04/25/2023] [Accepted: 04/27/2023] [Indexed: 05/25/2023]
Abstract
BACKGROUND The implantable cardiac defibrillator-based HeartLogic algorithm aims to detect impending fluid retention in patients with heart failure (HF). Studies show that HeartLogic is safe to integrate into clinical practice. The current study investigates whether HeartLogic provides clinical benefit on top of standard care and device telemonitoring in patients with HF. METHODS A multicenter, retrospective, propensity-matched cohort analysis was performed in patients with HF and implantable cardiac defibrillators, and it compared HeartLogic to conventional telemonitoring. The primary endpoint was the number of worsening HF events. Hospitalizations and ambulatory visits due to HF were also evaluated. RESULTS Propensity score matching yielded 127 pairs (median age 68 years, 80% male). Worsening HF events occurred more frequently in the control group (2; IQR 0-4) compared to the HeartLogic group (1; IQR 0-3; P = 0.004). The number of HF hospitalization days was higher in controls than in the HeartLogic group (8; IQR 5-12 vs 5; IQR 2-7; P = 0.023), and ambulatory visits for diuretic escalation were more frequent in the control group than in the HeartLogic group (2; IQR 0-3 vs 1; IQR 0-2; P = 0.0001). CONCLUSION Integrating the HeartLogic algorithm in a well-equipped HF care path on top of standard care is associated with fewer worsening HF events and shorter duration of fluid retention-related hospitalizations.
Collapse
Affiliation(s)
- Michelle Feijen
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Monika Beles
- Cardiovascular Research Centre Aalst,OLV Clinic, Department of Cardiology, Aalst, Belgium
| | - Yan Zhi Tan
- Deloitte HEOR (Health-Economics and Outcome Research), Zaventem, Belgium
| | - Audrey Cordon
- Deloitte HEOR (Health-Economics and Outcome Research), Zaventem, Belgium
| | - Matthias Dupont
- Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Roderick W Treskes
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Maria-Luce Caputo
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Koen VAN Bockstal
- Cardiovascular Research Centre Aalst,OLV Clinic, Department of Cardiology, Aalst, Belgium
| | - Angelo Auricchio
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Anastasia D Egorova
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Edith Maes
- Cardiovascular Research Centre Aalst,OLV Clinic, Department of Cardiology, Aalst, Belgium
| | - Saskia L M A Beeres
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands.
| | - Ward A Heggermont
- Cardiovascular Research Centre Aalst,OLV Clinic, Department of Cardiology, Aalst, Belgium
| |
Collapse
|
7
|
Hwang Y, Bae H. Patient Outcomes Associated with the First Remote Monitoring Experience of Cardiac Implantable Electronic Devices in South Korea. Clin Interv Aging 2023; 18:1587-1595. [PMID: 37772031 PMCID: PMC10522456 DOI: 10.2147/cia.s422626] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 09/05/2023] [Indexed: 09/30/2023] Open
Abstract
Purpose Remote monitoring of cardiac devices reduces unnecessary outpatient visits and increases patient satisfaction. We aimed to evaluate remote monitoring in terms of patient satisfaction, economic efficiency, and safety. Patients and Methods This was a single university hospital survey. The time/medical cost efficacy and satisfaction index were evaluated using a questionnaire to investigate patient satisfaction before and after remote monitoring in patients using Biotronik implantable cardiac devices. The questionnaire was adopted and modified from Hwang's 2020 Survey on Telehealth Patient Experience. Results Remote monitoring was associated with a decrease in total outpatient visits. Of 1270 remote monitoring-related alerts clinicians received during the study period, more than 95% were from patients with pacemakers. Still, the severity of alerts was higher for implantable cardioverter defibrillators and cardiac resynchronization therapy with defibrillators. The post-RM survey results demonstrated that patients were generally satisfied with RM, perceived it as cost-effective, and found that RM facilitated health management without disrupting their daily routines. Conclusion The study participants were satisfied with their first remote monitoring experience and reported having time- and cost-savings by using remote monitoring. Remote monitoring-related alerts from high-voltage devices were more severe and required medical intervention.
Collapse
Affiliation(s)
- YouMi Hwang
- Department of Cardiology, St. Vincent’s Hospital, the Catholic University of Korea, Suwon, Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease (CRID), College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
| | - Hannah Bae
- Department of Economics, University of California - San Diego, La Jolla, CA, USA
| |
Collapse
|
8
|
Scholte NTB, Gürgöze MT, Aydin D, Theuns DAMJ, Manintveld OC, Ronner E, Boersma E, de Boer RA, van der Boon RMA, Brugts JJ. Telemonitoring for heart failure: a meta-analysis. Eur Heart J 2023; 44:2911-2926. [PMID: 37216272 PMCID: PMC10424885 DOI: 10.1093/eurheartj/ehad280] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/28/2023] [Accepted: 04/29/2023] [Indexed: 05/24/2023] Open
Abstract
AIMS Telemonitoring modalities in heart failure (HF) have been proposed as being essential for future organization and transition of HF care, however, efficacy has not been proven. A comprehensive meta-analysis of studies on home telemonitoring systems (hTMS) in HF and the effect on clinical outcomes are provided. METHODS AND RESULTS A systematic literature search was performed in four bibliographic databases, including randomized trials and observational studies that were published during January 1996-July 2022. A random-effects meta-analysis was carried out comparing hTMS with standard of care. All-cause mortality, first HF hospitalization, and total HF hospitalizations were evaluated as study endpoints. Sixty-five non-invasive hTMS studies and 27 invasive hTMS studies enrolled 36 549 HF patients, with a mean follow-up of 11.5 months. In patients using hTMS compared with standard of care, a significant 16% reduction in all-cause mortality was observed [pooled odds ratio (OR): 0.84, 95% confidence interval (CI): 0.77-0.93, I2: 24%], as well as a significant 19% reduction in first HF hospitalization (OR: 0.81, 95% CI 0.74-0.88, I2: 22%) and a 15% reduction in total HF hospitalizations (pooled incidence rate ratio: 0.85, 95% CI 0.76-0.96, I2: 70%). CONCLUSION These results are an advocacy for the use of hTMS in HF patients to reduce all-cause mortality and HF-related hospitalizations. Still, the methods of hTMS remain diverse, so future research should strive to standardize modes of effective hTMS.
Collapse
Affiliation(s)
- Niels T B Scholte
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Muhammed T Gürgöze
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Dilan Aydin
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Dominic A M J Theuns
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Olivier C Manintveld
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Eelko Ronner
- Department of Cardiology, Reinier de Graaf Hospital, Reinier de Graafweg 5, Delft, South Holland 2625 AD, The Netherlands
| | - Eric Boersma
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Robert M A van der Boon
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| | - Jasper J Brugts
- Department of Cardiology, Thorax Centre, Erasmus MC, University Medical Centre Rotterdam, Dr. Molewaterplein 40, Rotterdam, South Holland 3015 GD, The Netherlands
| |
Collapse
|
9
|
Mariani MV, Lavalle C, Forleo GB, Della Rocca DG, Martino A, Panuccio M, Fagagnini A, Rebecchi M, Calò L, Santini L. HeartLogic™: real-world data-efficiency, resource consumption, and workflow optimization. Eur Heart J Suppl 2023; 25:C331-C336. [PMID: 37125308 PMCID: PMC10132617 DOI: 10.1093/eurheartjsupp/suad058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Heart failure (HF) is a major and still growing medical problem and is characterized by episodes of acute decompensation that are associated with a negative prognosis and a significant burden on the patients, doctors, and healthcare resources. Early detection of incipient HF may allow outpatient treatment before patients severely decompensate, thus reducing HF hospitalizations and related costs. The HeartLogic™ algorithm is an automatic, remotely managed system combining data directly related to HF pathophysiology into a single score, the HeartLogic™ index. This index proved to be effective in predicting the risk of incipient HF decompensation, allowing to redistribute resources from low-risk to high-risk patients in a timely and cost-saving manner. The alert-based remote management system seems more efficient than the one based on scheduled remote transmission in terms of caregivers' workload and alert detection timing. The widespread application of the HeartLogic™ algorithm requires the resolution of logistical and financial issues and the adoption of a pre-defined, functional workflow. In this paper, we reviewed general aspects of remote monitoring in HF patients, the functioning and pathophysiological basis of the HeartLogic index, its efficiency in the management of HF patients, and the economic effects and the organizational revolution associated with its use.
Collapse
Affiliation(s)
| | | | | | | | | | - Marco Panuccio
- Cardiology Department, Policlinico Casilino, 00169 Rome, Italy
| | | | - Marco Rebecchi
- Cardiology Department, Policlinico Casilino, 00169 Rome, Italy
| | - Leonardo Calò
- Cardiology Department, Policlinico Casilino, 00169 Rome, Italy
| | - Luca Santini
- Corresponding author. Tel: +393473742271, Fax: +0656482179,
| |
Collapse
|
10
|
Assa S, Vernooy K, van Stipdonk AMW. Cardiovascular Implantable Electronic Devices Enabled Remote Heart Failure Monitoring; What We Have Learned and Where to Go Next. J Cardiovasc Dev Dis 2023; 10:jcdd10040152. [PMID: 37103031 PMCID: PMC10142884 DOI: 10.3390/jcdd10040152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 03/28/2023] [Accepted: 03/29/2023] [Indexed: 04/05/2023] Open
Abstract
Despite recent developments, heart failure (HF) remains to be a great burden to the individual patient, entailing major morbidity and mortality. Moreover, HF is a great burden to overall healthcare, mainly because of frequent hospitalizations. Timely diagnosis of HF deterioration and implementation of appropriate therapy may prevent hospitalization and eventually improve a patient’s prognosis; however, depending on the patient’s presentation, the signs and symptoms of HF often offer too little therapeutic window to prevent hospitalizations. Cardiovascular implantable electronic devices (CIEDs) can provide real-time physiologic parameters and remote monitoring of these parameters can potentially help to identify patients at high risk. However, routine implementation of remote monitoring of CIEDs has still not been widely used in daily patient care. This review gives a detailed description of available metrics for remote HF monitoring, the studies that provide evidence of their efficacy, ways to implement them in clinical HF practice, as well as lessons learned on where to go on from where we currently are.
Collapse
Affiliation(s)
- Solmaz Assa
- Department of Cardiology, Treant Zorggroep, 7824 AA Emmen, The Netherlands
| | - Kevin Vernooy
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands
| | - Antonius M. W. van Stipdonk
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands
| |
Collapse
|
11
|
Tratamiento a distancia de la insuficiencia cardiaca mediante el algoritmo HeartLogic. Registro RE-HEART. Rev Esp Cardiol 2022. [DOI: 10.1016/j.recesp.2021.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
|
12
|
Krzesiński P. Is device-based prevention of heart failure decompensation rising like a phoenix from the ashes? REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2022; 75:701-703. [PMID: 35288061 DOI: 10.1016/j.rec.2022.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 02/03/2022] [Indexed: 06/14/2023]
Affiliation(s)
- Paweł Krzesiński
- Department of Cardiology and Internal Diseases, Military Institute of Medicine, Warsaw, Poland.
| |
Collapse
|
13
|
Feijen M, Egorova AD, Treskes RW, Mertens BJA, Jukema JW, Schalij MJ, Beeres SLMA. Performance of a HeartLogicTM Based Care Path in the Management of a Real-World Chronic Heart Failure Population. Front Cardiovasc Med 2022; 9:883873. [PMID: 35600477 PMCID: PMC9120607 DOI: 10.3389/fcvm.2022.883873] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 03/30/2022] [Indexed: 01/11/2023] Open
Abstract
AimEarly detection of impending fluid retention and timely adjustment of (medical) therapy can prevent heart failure related hospitalizations. The multisensory cardiac implantable electronic device (CIED) based algorithm HeartLogicTM aims to alert in case of impending fluid retention. The aim of the current analysis is to evaluate the performance of the HeartLogicTM guided heart failure care path in a real-world heart failure population and to investigate whether the height of the index and the duration of the alert state are indicative of the degree of fluid retention.MethodsConsecutive adult heart failure patients with a CIED and an activated HeartLogicTM algorithm were eligible for inclusion. Patients were followed up according to the hospital's heart failure care path. The device technician reviewed alerts for a technical CIED checkup. Afterwards, the heart failure nurse contacted the patient to identify impending fluid retention. An alert was either true positive or false positive. Without an alert a patient was true negative or false negative.ResultsAmong 107 patients, [82 male, 70 (IQR 60–77) years, left ventricular ejection fraction 37 ± 11%] 130 HeartLogicTM alerts were available for analysis. Median follow up was 14 months [IQR 8–23]. The sensitivity to detect impending fluid retention was 79%, the specificity 88%. The positive predictive was value 71% and the negative predictive value 91%. The unexplained alert rate was 0.23 alerts/patient year and the false negative rate 0.17 alerts/patient year. True positive alerts [42 days (IQR 28–63)] lasted longer than false positive alerts [28 days (IQR 21–44)], p = 0.02. The maximal HeartLogicTM index was higher in true positive alerts [26 (IQR 21–34)] compared to false positive alerts [19 (IQR 17–24)], p < 0.01. Patients with higher HeartLogicTM indexes required more intense treatment (index height in outpatient setting 25 [IQR 20–32], day clinic treatment 28 [IQR 24–36] and hospitalized patients 45 [IQR 35–58], respectively), p < 0.01.ConclusionThe CIED-based HeartLogicTM algorithm facilitates early detection of impending fluid retention and thereby enables clinical action to prevent this at early stage. The current analysis illustrates that higher and persistent alerts are indicative for true positive alerts and higher index values are indicative for more severe fluid retention.
Collapse
Affiliation(s)
- Michelle Feijen
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Roderick W. Treskes
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Bart J. A. Mertens
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Martin J. Schalij
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Saskia L. M. A. Beeres
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
- *Correspondence: Saskia L. M. A. Beeres
| |
Collapse
|
14
|
Guerra F, D'Onofrio A, De Ruvo E, Manzo M, Santini L, Giubilato G, La Greca C, Petracci B, Stronati G, Bianchi V, Martino A, Franculli F, Compagnucci P, Campari M, Valsecchi S, Dello Russo A. Decongestive treatment adjustments in heart failure patients remotely monitored with a multiparametric implantable defibrillators algorithm. Clin Cardiol 2022; 45:670-678. [PMID: 35502643 PMCID: PMC9175259 DOI: 10.1002/clc.23832] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 11/28/2022] Open
Abstract
AIMS HeartLogic algorithm combines data from multiple implantable defibrillators (ICD)-based sensors to predict impending heart failure (HF) decompensation. A treatment protocol to manage algorithm alerts is not yet known, although decongestive treatment adjustments are the most frequent alert-triggered actions reported in clinical practice. We describe the implementation of HeartLogic for remote monitoring of HF patients, and we evaluate the approach to diuretic dosing and timing of the intervention in patients with device alerts. METHODS The algorithm was activated in 229 ICD patients at eight centers. The median follow-up was 17 months (25th-75th percentile: 11-24). Remote data reviews and patient phone contacts were undertaken at the time of HeartLogic alerts, to assess the patient's status and to prevent HF worsening. We analyzed alert-triggered augmented HF treatments, consisting of isolated increases in diuretics dosage. RESULTS We reported 242 alerts (0.8 alerts/patient-year) in 123 patients, 137 (56%) alerts triggered clinical actions to treat HF. The HeartLogic index decreased after the 56 actions consisting of diuretics increase. Specifically, alerts resolved more quickly when the increases in dosing of diuretics were early rather than late: 28 days versus 62 days, p < .001. The need of hospitalization for further treatments to resolve the alert condition was associated with higher HeartLogic index values on the day of the diuretics increase (odds ratio: 1.11, 95% CI: 1.02-1.20, p = .013) and with late interventions (odds ratio: 5.11, 95% CI: 1.09-24.48, p = .041). No complications were reported after drug adjustments. CONCLUSIONS Decongestive treatment adjustments triggered by alerts seem safe and effective. The early use of decongestive treatment and the use of high doses of diuretics seem to be associated with more favorable outcomes.
Collapse
Affiliation(s)
- Federico Guerra
- Cardiology and Arrhythmology ClinicMarche Polytechnic University, “Ospedali Riuniti”AnconaItaly
| | - Antonio D'Onofrio
- Unità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie, Monaldi HospitalNaplesItaly
| | | | - Michele Manzo
- OO.RR. San Giovanni di Dio Ruggi d'AragonaSalernoItaly
| | | | | | | | | | - Giulia Stronati
- Cardiology and Arrhythmology ClinicMarche Polytechnic University, “Ospedali Riuniti”AnconaItaly
| | - Valter Bianchi
- Unità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie, Monaldi HospitalNaplesItaly
| | | | | | - Paolo Compagnucci
- Cardiology and Arrhythmology ClinicMarche Polytechnic University, “Ospedali Riuniti”AnconaItaly
| | | | | | - Antonio Dello Russo
- Cardiology and Arrhythmology ClinicMarche Polytechnic University, “Ospedali Riuniti”AnconaItaly
| |
Collapse
|
15
|
Krzesiński P. Prevención de las descompensaciones de la insuficiencia cardiaca mediante dispositivos. ¿Está resurgiendo de las cenizas como el ave fénix? Rev Esp Cardiol 2022. [DOI: 10.1016/j.recesp.2022.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
16
|
Abstract
HEARTLOGICTM READY FOR PRIME TIME?
Collapse
Affiliation(s)
- Ward A Heggermont
- Onze Lieve Vrouw Hospital, Hartcentrum Aalst, Moorselbaan 164, B-9300 Aalst, Belgium.,Cardiovascular Research Institute Maastricht, Maastricht University, Universiteitssingel 40, AZ-6202 Maastricht, The Netherlands
| | - Koen Van Bockstal
- Onze Lieve Vrouw Hospital, Hartcentrum Aalst, Moorselbaan 164, B-9300 Aalst, Belgium
| |
Collapse
|
17
|
Ziacchi M, Calò L, D’Onofrio A, Manzo M, Dello Russo A, Santini L, Giubilato G, Carriere C, Santobuono VE, Savarese G, La Greca C, Arena G, Talarico A, Pisanò E, Giammaria M, Pangallo A, Campari M, Valsecchi S, Diemberger I. Implantable Cardioverter Defibrillator Multisensor Monitoring during Home Confinement Caused by the COVID-19 Pandemic. BIOLOGY 2022; 11:biology11010120. [PMID: 35053117 PMCID: PMC8772791 DOI: 10.3390/biology11010120] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/10/2022] [Accepted: 01/11/2022] [Indexed: 02/04/2023]
Abstract
Simple Summary During the COVID-19 pandemic, utilization of remote monitoring platforms was recommended. The HeartLogic algorithm identifies patients at risk of heart failure events, combining multiple sensors available on implantable cardioverter defibrillators. This analysis examined how multiple CIED sensors behave in periods of anticipated restrictions pertaining to physical activity. We demonstrated a significant drop in median activity level immediately after the implementation of stay-at-home orders, whereas there was no difference in the other contributing sensors. The weekly rate of heart failure alerts was significantly higher during the lockdown and post-lockdown than that reported in the pre-lockdown. Abstract Aims: The utilization of remote monitoring platforms was recommended amidst the COVID-19 pandemic. The HeartLogic index combines multiple implantable cardioverter defibrillator (ICD) sensors and has proved to be a predictor of impending heart failure (HF) decompensation. We examined how multiple ICD sensors behave in the periods of anticipated restrictions pertaining to physical activity. Methods: The HeartLogic feature was active in 349 ICD and cardiac resynchronization therapy ICD patients at 20 Italian centers. The period from 1 January to 19 July 2020, was divided into three phases: pre-lockdown (weeks 1–11), lockdown (weeks 12–20), post-lockdown (weeks 21–29). Results: Immediately after the implementation of stay-at-home orders (week 12), we observed a significant drop in median activity level whereas there was no difference in the other contributing parameters. The median composite HeartLogic index increased at the end of the Lockdown. The weekly rate of alerts was significantly higher during the lockdown (1.56 alerts/week/100 pts, 95%CI: 1.15–2.06; IRR = 1.71, p = 0.014) and post-lockdown (1.37 alerts/week/100 pts, 95%CI: 0.99–1.84; IRR = 1.50, p = 0.072) than that reported in pre-lockdown (0.91 alerts/week/100 pts, 95%CI: 0.64–1.27). However, the median duration of alert state and the maximum index value did not change among phases, as well as the proportion of alerts followed by clinical actions at the centers and the proportion of alerts fully managed remotely. Conclusions: During the lockdown, the system detected a significant drop in the median activity level and generated a higher rate of alerts suggestive of worsening of the HF status.
Collapse
Affiliation(s)
- Matteo Ziacchi
- Institute of Cardiology, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Policlinico S.Orsola-Malpighi, 40138 Bologna, Italy;
- Correspondence: ; Tel.: +39-3476785656
| | | | - Antonio D’Onofrio
- “Unità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie”, Monaldi Hospital, 80131 Naples, Italy;
| | - Michele Manzo
- OO.RR. San Giovanni di Dio Ruggi d’Aragona, 84125 Salerno, Italy;
| | - Antonio Dello Russo
- Clinica di Cardiologia e Aritmologia, Università Politecnica delle Marche, “Ospedali Riuniti”, 60126 Ancona, Italy;
| | - Luca Santini
- “Giovan Battista Grassi” Hospital, 00122 Rome, Italy;
| | | | - Cosimo Carriere
- Azienda Ospedaliera Universitaria Ospedali Riuniti di Trieste—Cattinara, 34149 Trieste, Italy;
| | | | | | | | | | | | | | - Massimo Giammaria
- Division of Cardiology, Maria Vittoria Hospital, 10144 Turin, Italy;
| | - Antonio Pangallo
- Grande Ospedale Metropolitano “Bianchi-Melacrino”, 89124 Reggio Calabria, Italy;
| | - Monica Campari
- Boston Scientific Italia, 20134 Milan, Italy; (M.C.); (S.V.)
| | | | - Igor Diemberger
- Institute of Cardiology, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Policlinico S.Orsola-Malpighi, 40138 Bologna, Italy;
| |
Collapse
|
18
|
No substantial excess all-cause mortality among cardiac implantable electronic device patients during the first COVID‑19 lockdown in the Leiden area. Neth Heart J 2022; 30:76-83. [PMID: 34978678 PMCID: PMC8721632 DOI: 10.1007/s12471-021-01650-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2021] [Indexed: 12/04/2022] Open
Abstract
In the Netherlands, the coronavirus disease 2019 (COVID‑19) pandemic has resulted in excess mortality nationwide. Chronic heart disease patients are at risk for a complicated COVID‑19 course. The current study investigates all-cause mortality among cardiac implantable electronic device (CIED) patients during the first peak of the pandemic and compares the data to the statistics for the corresponding period in the two previous years. Data of adult CIED patients undergoing follow-up at the Leiden University Medical Centre were analysed. All-cause mortality between 1 March and 31 May 2020 was evaluated and compared to the data for the same period in 2019 and 2018. At the beginning of the first peak of the pandemic, 3,171 CIED patients (median age 70 years; 68% male; 41% ischaemic aetiology) were alive. Baseline characteristics of the 2019 (n = 3,216) and 2018 (n = 3,169) cohorts were comparable. All-cause mortality during the peak of the pandemic was 1.4% compared to 1.6% and 1.4% in the same period in 2019 and 2018, respectively (p = 0.84). During the first peak of the COVID‑19 pandemic, there was no substantial excess mortality among CIED patients in the Leiden area, despite the fact that this is group at high risk for a complicated course of a COVID‑19 infection. Strict adherence to the preventive measures may have prevented substantial excess mortality in these vulnerable patients.
Collapse
|
19
|
López-Azor JC, de la Torre N, García-Cosío Carmena MD, Caravaca Pérez P, Munera C, MarcoClement I, Cózar León R, Álvarez-García J, Pachón M, Ynsaurriaga FA, Salguero Bodes R, Delgado Jiménez JF, de Juan Bagudá J. Clinical Utility of HeartLogic, a Multiparametric Telemonitoring System, in Heart Failure. Card Fail Rev 2022; 8:e13. [PMID: 35516795 PMCID: PMC9062709 DOI: 10.15420/cfr.2021.35] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 02/08/2022] [Indexed: 01/09/2023] Open
Abstract
Telemonitoring through multiple variables measured on cardiac devices has the potential to improve the follow-up of patients with heart failure. The HeartLogic algorithm (Boston Scientific), implemented in some implantable cardiac defibrillators and cardiac resynchronisation therapy, allows monitoring of the nocturnal heart rate, respiratory movements, thoracic impedance, physical activity and the intensity of heart tones, with the aim of predicting major clinical events. Although HeartLogic has demonstrated high sensitivity for the detection of heart failure decompensations, its effects on hospitalisation and mortality in randomised clinical trials has not yet been corroborated. This review details how the HeartLogic algorithm works, compiles available evidence from clinical studies, and discusses its application in daily clinical practice.
Collapse
Affiliation(s)
- Juan Carlos López-Azor
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
| | | | - María Dolores García-Cosío Carmena
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
| | - Pedro Caravaca Pérez
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
| | - Catalina Munera
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
| | - Irene MarcoClement
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
| | - Rocío Cózar León
- Cardiology Service, University Hospital Virgen MacarenaSeville, Spain
| | - Jesús Álvarez-García
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
- Cardiology Service, University Hospital Ramón y CajalMadrid, Spain
| | - Marta Pachón
- Cardiology Service, Unidad de Arritmias, Hospital Universitario de ToledoToledo, Spain
| | - Fernando Arribas Ynsaurriaga
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
| | - Rafael Salguero Bodes
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
| | - Juan Francisco Delgado Jiménez
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
- Faculty of Medicine, Complutense UniversityMadrid, Spain
| | - Javier de Juan Bagudá
- Cardiology Service, Hospital Universitario 12 de OctubreMadrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
| |
Collapse
|
20
|
Remote heart failure management using the HeartLogic algorithm. RE-HEART Registry. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2021; 75:709-716. [PMID: 34896031 DOI: 10.1016/j.rec.2021.09.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 09/14/2021] [Indexed: 11/21/2022]
Abstract
INTRODUCTION AND OBJECTIVES HeartLogic is a multiparametric algorithm incorporated into implantable cardioverter-defibrillators (ICD). The associated alerts predict impending heart failure (HF) decompensations. Our objective was to analyze the association between alerts and clinical events and to describe the implementation of a protocol for remote management in a multicenter registry. METHODS We evaluated study phase 1 (the investigators were blinded to the alert state) and phases 2 and 3 (after HeartLogic activation, managed as per local practice and with a standardized protocol, respectively). RESULTS We included 288 patients from 15 centers. In phase 1, the median observation period was 10 months and there were 73 alerts (0.72 alerts/patient-y), with 8 hospitalizations and 2 emergency room admissions for HF (0.10 events/patient-y). There were no HF hospitalizations outside the alert period. In the active phases, the median follow-up was 16 (95%CI, 15-22) months and there were 277 alerts (0.89 alerts/patient-y); 33 were associated with HF hospitalizations or HF death (n=6), 46 with minor decompensations, and 78 with other events. The unexplained alert rate was 0.39 alerts/patient-y. Outside the alert state, there was only 1 HF hospitalization and 1 minor HF decompensation. Most alerts (82% in phase 2 and 81% in phase 3; P=.861) were remotely managed. The median NT-proBNP value was higher within than outside the alert state (7378 vs 1210 pg/mL; P <.001). CONCLUSIONS The HeartLogic index was frequently associated with HF-related events and other clinically relevant situations, with a low rate of unexplained events. A standardized protocol allowed alerts to be safely and remotely detected and appropriate action to be taken on them.
Collapse
|
21
|
Nachman D, Rahamim E, Kolben Y, Mengesha B, Elbaz-Greener G, Amir O, Asleh R. In Search of Clinical Impact: Advanced Monitoring Technologies in Daily Heart Failure Care. J Clin Med 2021; 10:jcm10204692. [PMID: 34682813 PMCID: PMC8537939 DOI: 10.3390/jcm10204692] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/08/2021] [Accepted: 10/08/2021] [Indexed: 01/19/2023] Open
Abstract
Despite significant advances in the management of heart failure (HF), further improvement in the outcome of this chronic and progressive disease is still considered a major unmet need. Recurrent hospitalizations due to decompensated HF frequently occur, resulting in increased morbidity and mortality rates. Past attempts at early detection of clinical deterioration were mainly based on monitoring of signs and symptoms of HF exacerbation, which have mostly given disappointing results. Extensive research of the pathophysiology of HF decompensation has indicated that hemodynamic alterations start days prior to clinical manifestation. Novel technologies aim to monitor these minute hemodynamic changes, allowing time for therapeutic interventions to prevent hemodynamic derangement and HF exacerbation. The latest noticeable advancements include assessment of lung fluid volume, wearable devices with integrated sensors, and microelectromechanical systems-based implantable devices for continuous measurement of cardiac filling pressures. This manuscript will review the rationale for monitoring HF patients and discuss previous and ongoing attempts to develop clinically meaningful monitoring devices to improve daily HF health care, with particular emphasis on the recent advances and clinical trials relevant to this evolving field.
Collapse
Affiliation(s)
- Dean Nachman
- Hadassah Medical Center, Faculty of Medicine, Heart Institute, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (E.R.); (B.M.); (G.E.-G.); (O.A.)
- Correspondence: (D.N.); (R.A.); Tel.: +972-2-6757657 (D.N.); +972-2-6775266 (R.A.)
| | - Eldad Rahamim
- Hadassah Medical Center, Faculty of Medicine, Heart Institute, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (E.R.); (B.M.); (G.E.-G.); (O.A.)
| | - Yotam Kolben
- Hadassah Medical Center, Department of Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel;
| | - Bethlehem Mengesha
- Hadassah Medical Center, Faculty of Medicine, Heart Institute, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (E.R.); (B.M.); (G.E.-G.); (O.A.)
| | - Gabby Elbaz-Greener
- Hadassah Medical Center, Faculty of Medicine, Heart Institute, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (E.R.); (B.M.); (G.E.-G.); (O.A.)
| | - Offer Amir
- Hadassah Medical Center, Faculty of Medicine, Heart Institute, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (E.R.); (B.M.); (G.E.-G.); (O.A.)
- Azrieli Faculty of Medicine, Bar-Ilan University, Ramat-Gan 5290002, Israel
| | - Rabea Asleh
- Hadassah Medical Center, Faculty of Medicine, Heart Institute, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (E.R.); (B.M.); (G.E.-G.); (O.A.)
- Correspondence: (D.N.); (R.A.); Tel.: +972-2-6757657 (D.N.); +972-2-6775266 (R.A.)
| |
Collapse
|
22
|
Bhatt AS, Adler ED, Albert NM, Anyanwu A, Bhadelia N, Cooper LT, Correa A, Defilippis EM, Joyce E, Sauer AJ, Solomon SD, Vardeny O, Yancy C, Lala A. Coronavirus Disease-2019 and Heart Failure: A Scientific Statement From the Heart Failure Society of America. J Card Fail 2021; 28:93-112. [PMID: 34481067 PMCID: PMC8408888 DOI: 10.1016/j.cardfail.2021.08.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 08/20/2021] [Indexed: 12/15/2022]
Affiliation(s)
- Ankeet S Bhatt
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Eric D Adler
- Department of Cardiology, University of California, San Diego, California
| | - Nancy M Albert
- Nursing Institute and Heart, Vascular and Thoracic Institute; Cleveland Clinic, Cleveland, Ohio
| | - Anelechi Anyanwu
- Department of Cardiovascular Surgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Nahid Bhadelia
- Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts; Center for Emerging Infectious Diseases Policy and Research (CEID), Boston University, Boston, Massachusetts
| | - Leslie T Cooper
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, Florida
| | - Ashish Correa
- Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ersilia M Defilippis
- Division of Cardiology, Columbia University Irving Medical Center, New York, New York
| | - Emer Joyce
- Department of Cardiovascular Medicine, Mater University Hospital, and School of Medicine, University College Dublin, Ireland
| | - Andrew J Sauer
- Department of Cardiovascular Medicine, University of Kansas School of Medicine, Kansas City, Kansas
| | - Scott D Solomon
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Orly Vardeny
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, and University of Minnesota, Minneapolis
| | - Clyde Yancy
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Anuradha Lala
- Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
| |
Collapse
|
23
|
Treskes RW, Beles M, Caputo ML, Cordon A, Biundo E, Maes E, Egorova AD, Schalij MJ, Van Bockstal K, Grazioli-Gauthier L, Vanderheyden M, Bartunek J, Auricchio A, Beeres SLMA, Heggermont WA. Clinical and economic impact of HeartLogic™ compared with standard care in heart failure patients. ESC Heart Fail 2021; 8:1541-1551. [PMID: 33619901 PMCID: PMC8006675 DOI: 10.1002/ehf2.13252] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 01/19/2021] [Accepted: 01/26/2021] [Indexed: 02/01/2023] Open
Abstract
Aims The implantable cardiac defibrillator/cardiac resynchronization therapy with defibrillator‐based HeartLogic™ algorithm has recently been developed for early detection of impending decompensation in heart failure (HF) patients; but whether this novel algorithm can reduce HF hospitalizations has not been evaluated. We investigated if activation of the HeartLogic algorithm reduces the number of hospital admissions for decompensated HF in a 1 year post‐activation period as compared with a 1 year pre‐activation period. Methods and results Heart failure patients with an implantable cardiac defibrillator/cardiac resynchronization therapy with defibrillator with the ability to activate HeartLogic and willingness to have remote device monitoring were included in this multicentre non‐blinded single‐arm trial with historical comparison. After a HeartLogic alert, the presence of HF symptoms and signs was evaluated. If there were two or more symptoms and signs apart from the HeartLogic alert, lifestyle advices were given and/or medication was adjusted. After activation of the algorithm, patients were followed for 1 year. HF events occurring in the 1 year prior to activation and in the 1 year after activation were compared. Of the 74 eligible patients (67.2 ± 10.3 years, 84% male), 68 patients completed the 1 year follow‐up period. The total number of HF hospitalizations reduced from 27 in the pre‐activation period to 7 in the post‐activation period (P = 0.003). The number of patients hospitalized for HF declined from 21 to 7 (P = 0.005), and the hospitalization length of stay diminished from average 16 to 7 days (P = 0.079). Subgroup analysis showed similar results (P = 0.888) for patients receiving cardiac resynchronization therapy during the pre‐activation period or not receiving cardiac resynchronization therapy, meaning that the effect of hospitalizations cannot solely be attributed to reverse remodelling. Subanalysis of a single‐centre Belgian subpopulation showed important reductions in overall health economic costs (P = 0.025). Conclusion Activation of the HeartLogic algorithm enables remote monitoring of HF patients, coincides with a significant reduction in hospitalizations for decompensated HF, and results in health economic benefits.
Collapse
Affiliation(s)
- Roderick W Treskes
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Monika Beles
- Cardiovascular Center Aalst, Department of Cardiology, Onze Lieve Vrouw Hospital, Moorselbaan 164, Aalst, 9300, Belgium
| | - Maria-Luce Caputo
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Audrey Cordon
- Deloitte HEOR (Health Economics and Outcomes Research), Zaventem, Belgium
| | - Eliana Biundo
- Deloitte HEOR (Health Economics and Outcomes Research), Zaventem, Belgium
| | - Edith Maes
- Deloitte HEOR (Health Economics and Outcomes Research), Zaventem, Belgium
| | - Anastasia D Egorova
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Martin J Schalij
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Koen Van Bockstal
- Cardiovascular Center Aalst, Department of Cardiology, Onze Lieve Vrouw Hospital, Moorselbaan 164, Aalst, 9300, Belgium
| | | | - Marc Vanderheyden
- Cardiovascular Center Aalst, Department of Cardiology, Onze Lieve Vrouw Hospital, Moorselbaan 164, Aalst, 9300, Belgium
| | - Jozef Bartunek
- Cardiovascular Center Aalst, Department of Cardiology, Onze Lieve Vrouw Hospital, Moorselbaan 164, Aalst, 9300, Belgium
| | - Angelo Auricchio
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Saskia L M A Beeres
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Ward A Heggermont
- Cardiovascular Center Aalst, Department of Cardiology, Onze Lieve Vrouw Hospital, Moorselbaan 164, Aalst, 9300, Belgium
| |
Collapse
|