2017
DOI: 10.1016/j.repc.2016.08.009
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A link to better care: The effect of remote monitoring on long-term adverse cardiac events in a propensity score-matched cohort

Abstract: Aims: There are conflicting data regarding the clinical benefits of device-based remote monitoring (RM). We sought to assess the effect of device-based RM on long-term clinical outcomes in recipients of implantable cardioverter-defibrillators (ICDs). Methods: We assessed the incidence of adverse cardiac events, overall mortality and device therapy efficacy and safety in a propensity score-matched cohort of patients under RM compared to patients under conventional follow-up. Data on hospitalizations, mortality … Show more

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Cited by 7 publications
(4 citation statements)
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“…Temporal changes in physiological parameters may precede signs and symptoms of worsening HF [ 14 ] allowing the health team to anticipate preventive measures, and to generate predictive models that can identify patients who are at high or low risk of clinical events [ 15 ]. Several studies have proved the utility of RM in the reduction of mortality in patients with CIED́s [ [16] , [17] , [18] ]. This can lead to a comprehensive approach in which knowledge of the patient's physiological status can anticipate therapeutic measures in order to avoid or minimize decompensation of HF.…”
Section: Discussionmentioning
confidence: 99%
“…Temporal changes in physiological parameters may precede signs and symptoms of worsening HF [ 14 ] allowing the health team to anticipate preventive measures, and to generate predictive models that can identify patients who are at high or low risk of clinical events [ 15 ]. Several studies have proved the utility of RM in the reduction of mortality in patients with CIED́s [ [16] , [17] , [18] ]. This can lead to a comprehensive approach in which knowledge of the patient's physiological status can anticipate therapeutic measures in order to avoid or minimize decompensation of HF.…”
Section: Discussionmentioning
confidence: 99%
“…The clustering algorithm is to define a dissimilarity measurement method for specific data sets according to one's own judgment and then cluster according to the principle of nearest neighbor [ 22 ]. The objective function of clustering is a function of the set of objects and clustering categories, which can transform the process of clustering into a problem of finding the optimal solution of the objective function, which has a certain universality [ 23 ]. The following formula holds: …”
Section: Methods Of Remote Care Assistance In Emergency Department Based On Smart Medicalmentioning
confidence: 99%
“… 1 , 6 , 12 The Implant-based Multiparameter Telemonitoring of Patients with Heart Failure trial showed improved clinical outcomes for HF patients with CIEDs, leading to the inclusion of a multiparameter telemonitoring approach in the European Society of Cardiology HF guidelines. 4 , 11 , 16 …”
Section: Discussionmentioning
confidence: 99%