Efficacy of the Cardiac Implantable Electronic Device Multisensory Triage-HF Algorithm in Heart Failure Care: A Real-World Clinical Experience

被引:0
作者
Aslan, Ugur [1 ]
Beeres, Saskia L. M. A. [1 ]
Feijen, Michelle [1 ]
Mulder, Gerlinde M. [1 ]
Jukema, J. Wouter [1 ,2 ]
Egorova, Anastasia D. [1 ]
机构
[1] Leiden Univ, Med Ctr, Dept Cardiol, Albinusdreef 2, NL-2333 ZA Leiden, Netherlands
[2] Netherlands Heart Inst, Morseelsepk 1, NL-3511 EP Utrecht, Netherlands
关键词
cardiac implantable electronic device; multisensory algorithm; heart failure; telemonitoring; remote monitoring; RISK; HOSPITALIZATION; VALIDATION; MORTALITY; EVENTS; ALERTS;
D O I
10.3390/s24113664
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Heart failure (HF) admissions are burdensome, and the mainstay of prevention is the timely detection of impending fluid retention, creating a window for medical treatment intensification. This study evaluated the accuracy and performance of a Triage-HF-guided carepath in real-world ambulatory HF patients in daily clinical practice. In this prospective, observational study, 92 adult HF patients (71 males (78%), with a median age of 69 [IQR 59-75] years) with the Triage-HF algorithm activated in their cardiac implantable electronic devices (CIEDs), were monitored. Following high-risk alerts, an HF nurse contacted patients to identify signs and symptoms of fluid retention. The sensitivity and specificity were 83% and 97%, respectively. The positive predictive value was 89%, and negative predictive value was 94%. The unexplained alert rate was 0.05 alerts/patient year, and the false negative rate was 0.11 alerts/patient year. Ambulatory diuretics were initiated or escalated in 77% of high-risk alert episodes. In 23% (n = 6), admission was ultimately required. The median alert handling time was 2 days. Fifty-eight percent (n = 18) of high-risk alerts were classified as true positives in the first week, followed by 29% in the second-third weeks (n = 9), and 13% (n = 4) in the fourth-sixth weeks. Common sensory triggers included an elevated night ventricular rate (84%), OptiVol (71%), and reduced patient activity (71%). The CIED-based Triage-HF algorithm-driven carepath enables the timely detection of impending fluid retention in a contemporary ambulatory setting, providing an opportunity for clinical action.
引用
收藏
页数:14
相关论文
共 32 条
  • [1] Implantable Hemodynamic Monitoring for Heart Failure Patients
    Abraham, William T.
    Perl, Leor
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2017, 70 (03) : 389 - 398
  • [2] Sustained efficacy of pulmonary artery pressure to guide adjustment of chronic heart failure therapy: complete follow-up results from the CHAMPION randomised trial
    Abraham, William T.
    Stevenson, Lynne W.
    Bourge, Robert C.
    Lindenfeld, Jo Ann
    Bauman, Jordan G.
    Adamson, Philip B.
    [J]. LANCET, 2016, 387 (10017) : 453 - 461
  • [3] Adamson Philip B, 2009, Curr Heart Fail Rep, V6, P287
  • [4] Incident heart failure hospitalization and subsequent mortality in chronic heart failure: A propensity-matched study
    Ahmed, Ali
    Allman, Richard M.
    Fonarow, Gregg C.
    Love, Thomas E.
    Zannad, Faiez
    Dell'Italia, Louis J.
    White, Michel
    Gheorghiade, Mihai
    [J]. JOURNAL OF CARDIAC FAILURE, 2008, 14 (03) : 211 - 218
  • [5] Triage-HF Plus: a novel device-based remote monitoring pathway to identify worsening heart failure
    Ahmed, Fozia Zahir
    Taylor, Joanne K.
    Green, Caroline
    Moore, Lucy
    Goode, Angelic
    Black, Paula
    Howard, Lesley
    Fullwood, Catherine
    Zaidi, Amir
    Seed, Alison
    Cunnington, Colin
    Motwani, Manish
    [J]. ESC HEART FAILURE, 2020, 7 (01): : 108 - 117
  • [6] CorVue algorithm efficacy to predict heart failure in real life: Unnecessary and potentially misleading information?
    Anna Palfy, Julia
    Benezet-Mazuecos, Juan
    Martinez Milla, Juan
    Antonio Iglesias, Jose
    de la Vieja, Juan Jose
    Sanchez-Borque, Pepa
    Miracle, Angel
    Manuel Rubio, Jose
    [J]. PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 2018, 41 (08): : 948 - 952
  • [7] Fluid status telemedicine alerts for heart failure: a randomized controlled trial
    Boehm, Michael
    Drexler, Helmut
    Oswald, Hanno
    Rybak, Karin
    Bosch, Ralph
    Butter, Christian
    Klein, Gunnar
    Gerritse, Bart
    Monteiro, Joao
    Israel, Carsten
    Bimmel, Dieter
    Kaeab, Stefan
    Huegl, Burkhard
    Brachmann, Johannes
    [J]. EUROPEAN HEART JOURNAL, 2016, 37 (41) : 3154 - 3163
  • [8] A Multisensor Algorithm Predicts Heart Failure Events in Patients With Implanted Devices Results From the MultiSENSE Study
    Boehmer, John P.
    Hariharan, Ramesh
    Devecchi, Fausto G.
    Smith, Andrew L.
    Molon, Giulio
    Capucci, Alessandro
    An, Qi
    Averina, Viktoria
    Stolen, Craig M.
    Thakur, Pramodsingh H.
    Thompson, Julie A.
    Wariar, Ramesh
    Zhang, Yi
    Singh, Jagmeet P.
    [J]. JACC-HEART FAILURE, 2017, 5 (03) : 216 - 225
  • [9] Effects of remote monitoring on clinical outcomes and use of healthcare resources in heart failure patients with biventricular defibrillators: results of the MORE-CARE multicentre randomized controlled trial
    Boriani, Giuseppe
    Da Costa, Antoine
    Quesada, Aurelio
    Ricci, Renato Pietro
    Favale, Stefano
    Boscolo, Gabriele
    Clementy, Nicolas
    Amori, Valentina
    Stefano, Lorenza Mangoni di S.
    Burri, Haran
    [J]. EUROPEAN JOURNAL OF HEART FAILURE, 2017, 19 (03) : 416 - 425
  • [10] Risk stratification of cardiovascular and heart failure hospitalizations using integrated device diagnostics in patients with a cardiac resynchronization therapy defibrillator
    Burri, Haran
    da Costa, Antoine
    Quesada, Aurelio
    Ricci, Renato Pietro
    Favale, Stefano
    Clementy, Nicolas
    Boscolo, Gabriele
    Segura Villalobos, Federico
    Stefano, Lorenza Mangoni di S.
    Sharma, Vinod
    Boriani, Giuseppe
    [J]. EUROPACE, 2018, 20 (05): : E69 - E77