Real-life data on heart failure before and after implantation of resynchronization and/or defibrillation devices – The Síncrone study

Bonhorst, D; Guerreiro, S; Fonseca, Cândida; Cardim, Nuno; Macedo, Filipe; Adragão, Pedro

doi:10.1016/j.repce.2018.04.012

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…Although the survey was administered to a sample of consecutive HF patients presenting at the cardiology departments for follow-up during a specific period, we cannot completely rule out selection bias. However, as patient characteristics were like those of other realworld registries on the HF population with CIED [40,41], we believe that selection bias was limited. Moreover, even if the survey was submitted only to patients referring to 10 Italian hospitals, the differences in terms of the hospitals' capacity, organization, and geographical distribution makes us more confident about the fact that this population may be a good representative sample of the Italian HF population implanted with a CIED.…”

Section: Limitationsmentioning

confidence: 98%

Integration of a Smartphone HF-Dedicated App in the Remote Monitoring of Heart Failure Patients with Cardiac Implantable Electronic Devices: Patient Access, Acceptance, and Adherence to Use

Ziacchi,

Molon,

Giudici

et al. 2023

JCM

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(200 w) Introduction. Remote monitoring (RM) of cardiac implantable electronic device (CIED) diagnostics helps to identify patients potentially at risk of worsening heart failure (HF). Additionally, knowledge of patient HF-related symptoms is crucial for decision making. Patient smartphone applications may represent an ideal option to remotely collect this information. Purpose. To assess real-world HF patient access, acceptance, and adherence to use of an HF-dedicated smartphone application (HF app). Methods. In this study, 10 Italian hospitals administered a survey on smartphone/app use to HF patients with CIED. The subgroup who accepted it downloaded the HF app. Mean 1-year adherence of the HF app use was evaluated. Results. A total of 495 patients (67 ± 13 years, 79% males, 26% NYHA III–IV) completed the survey, of which 84% had access to smartphones and 85% were willing to use the HF app. In total, 311/495 (63%) downloaded the HF app. Patients who downloaded the HF app were younger and had higher school qualification. Patients who were ≥60 years old had higher mean 1-year adherence (54.1%) than their younger counterparts (42.7%; p < 0.001). Hospitals with RM-dedicated staff had higher mean 1-year patient adherence (64.0% vs. 33.5%; p < 0.001). Adherence to HF app decreased from 63.3% (weeks_1–13) to 42.2% (weeks_40–52, p < 0.001). Conclusions. High access and acceptance of smartphones/apps by HF patients with CIED allow HF app use for RM of patient signs/symptoms. Younger patients with higher school qualifications are more likely to accept HF app; however, older patients have higher long-term adherence.

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Section: Limitationsmentioning

confidence: 98%

Integration of a Smartphone HF-Dedicated App in the Remote Monitoring of Heart Failure Patients with Cardiac Implantable Electronic Devices: Patient Access, Acceptance, and Adherence to Use

Ziacchi,

Molon,

Giudici

et al. 2023

JCM

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“…Information on ventricular morphology and function is of utmost importance for the diagnosis of numerous heart diseases ( Baicu et al 2005 ). Left ventricle (LV) volumes and ejection fraction (LVEF) have a major prognostic value in predicting adverse outcomes for patients with heart failure ( White et al 1987 ; Hwang et al 1989 ; Wong et al 1993 ; Bonhorst et al 2019 ). Although cardiac magnetic resonance (CMR) imaging is considered the gold standard for LV quantification, 2-D echocardiography (2DE) remains the first-line choice because of its cost-efficiency and widespread availability ( Bellenger 2000 ; Malm et al 2004 ; Ciampi and Villari 2007 ).…”

Section: Introductionmentioning

confidence: 99%

Beyond Simpson's Rule: Accounting for Orientation and Ellipticity Assumptions

Kim

Beqiri

Lewandowski

et al. 2022

Ultrasound in Medicine & Biology

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“…Among them LVFS can be used to evaluate the left ventricular systolic function, and it is calculated according to the formula: LVFS (%) = 100 × [(LVEDD − LVESD)/LVEDD] [5]. LVEF is the central measure of left ventricular systolic function [6] and can be used to predict the clinical outcomes in patients with congestive heart failure, after myocardial infarction, and after revascularization [7][8][9]. However, there is few studies focusing on the the relationship between LVFS and adverse outcome in patients with CAD.…”

Section: Introductionmentioning

confidence: 99%

Left Ventricular F Ractional Shortening as a N Ovel Predictor of Clinical Outcomes in Patients With Coronary Artery Disease After Undergoing PCI: A Retrospective Cohort Study

Guo

Tang

Yang

et al. 2020

Preprint

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Background: Even though great advances have been made in the treatment of coronary artery disease (CAD) owing to coronary revascularization and modern antiremodeling therapy, it remains the major cause of cardiac morbidity and mortality worldwide. Risk stratification in CAD patients is primarily based on left ventricular ejection fraction (LVEF), risk scores, and some serum markers. The value of baseline Left ventricular fractional shortening (LVFS) level in predicting the clinical outcomes has not yet been determined.Methods: In this retrospective cohort study, a total of 3561 patients were enrolled in Clinical Outcomes and Risk Factors of Patients with CAD after percutaneous coronary intervention (PCI), from January 2013 to December 2017. After excluding patients without echocardiography data, we finally enrolled 2787 patients. These patients were divided into two groups according to LVFS value. The lower group (LVFS <31%, n=741), the higher group (LVFS≥31%, n=2046). The average follow-up time were 37.59±22.24 months.Results: We found that there were significant differences between the two groups in the incidence of all-cause mortality (ACM) (P<0.001), cardiac mortality (CM) (P<0.001), major adverse cardiovascular events (MACEs) (P<0.05) and major adverse cardiovascular and cerebrovascular events (MACCEs) (P<0.05). Multivariate Cox regression analyses showed that LVFS was an independent predictor for ACM (hazard ratio [HR]:0.473 [95% confidence interval [CI]:0.290-0.772],P=0.003), CM (HR: 0.393 [95% CI:0.213-0.725],P=0.003) in acute coronary syndrome (ACS) patients but that it was an independent predictor for only the incidence of CM (HR: 0.153 [95% CI:0.046-0.504],P=0.002) in stable CAD patients.Conclusion This study indicates that baseline LVFS is an independent and novel predictor of adverse long-term outcomes in CAD patients who underwent PCI.Trial registration:Chinese Clinical Trial Registry. ChiCTR-ORC-16010153. Registered 24 November 2018.http://www.chictr.org.cn/index.aspx

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Real-life data on heart failure before and after implantation of resynchronization and/or defibrillation devices – The Síncrone study

Cited by 3 publications

References 28 publications

Integration of a Smartphone HF-Dedicated App in the Remote Monitoring of Heart Failure Patients with Cardiac Implantable Electronic Devices: Patient Access, Acceptance, and Adherence to Use

Integration of a Smartphone HF-Dedicated App in the Remote Monitoring of Heart Failure Patients with Cardiac Implantable Electronic Devices: Patient Access, Acceptance, and Adherence to Use

Beyond Simpson's Rule: Accounting for Orientation and Ellipticity Assumptions

Left Ventricular F Ractional Shortening as a N Ovel Predictor of Clinical Outcomes in Patients With Coronary Artery Disease After Undergoing PCI: A Retrospective Cohort Study

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