For patients with heart failure, does remote monitoring of vital signs prevent hospital admissions?

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Taisha Doo ◽  
Emily White VanGompel
Keyword(s):  
Heart Failure ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
Vital Signs ◽  
Patients With Heart Failure

scholarly journals Last before-death transmission in patients with heart failure and implantable cardioverter-defibrillator followed by remote monitoring - insights from the COMMIT-HF registry

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
M Dyrbus ◽  
M Tajstra ◽  
L Pyka ◽  
A Kurek ◽  
M Gasior
Keyword(s):  
Heart Failure ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
Biventricular Pacing ◽  
Electronic Devices ◽  
Funding Sources ◽  
Cardiac Implantable Electronic Devices ◽  
Patients With Heart Failure ◽  
Median Period ◽  
Funding Acknowledgements

Abstract Funding Acknowledgements Type of funding sources: None. Background  Remote monitoring (RM) of cardiac implantable electronic devices (CIED) in patients with heart failure allows to regularly analyze the devices" and patients" conditions.  Purpose  The purpose of this study was evaluation of the ultimate transmissions sent before death in patients monitored remotely.  Methods  The last transmissions delivered by the devices in patients enrolled into COMMIT-HF Registry (NCT02536443) who died when monitored remotely have been retrospectively analysed. The characteristics and contents of the transmissions and clinical reactions undertaken have been obtained from the RM systems of four major RM providers.  Results  Of 1,306 patients with CIEDs who were enrolled at the RM programme in our centre, 267 died and their last transmission occurred less than 90 days before death, of which 133 (49.8%) were scheduled and 134 (50.2%) alert-triggered. The median period between transmission and death was 31 days for scheduled and 8 days for alert-triggered transmissions. The most frequent alert-triggered transmissions were atrial fibrillation/flutter (35.8%) and ventricular tachyarrhythmias (24.6%). A clinical reaction has been undertaken after 9.8% of planned and 67.1% of alert-triggered transmissions and consisted mainly of telephone consultations and referrals for hospital admissions.  Conclusions  This is the first analysis of the ultimate transmissions delivered by CIEDs before death. In approximately 50% of patients, the last transmission has been alert-triggered. Hence, an appropriate organization of the RM facility, which should immediately analyse and react to the transmission, seems mandatory to obtain clinical benefit in patients with HF and RM. Causes of alerts and clinical reactionsCause of alertAll alert-triggered transmissions (N = 134)AF/AFL episode, n (%)48 (35.8%)Ventricular tachycardia, n (%)18 (13.4%)Ventricular fibrillation, n (%)15 (11.2%)Biventricular pacing percentage reduction, n (%)15 (11.2%)Others38 (28.3%)Congestion monitor indications, n (%)14 (10.4%)Clinical reactionPlanned transmission (N = 133)Alert-triggered transmission (N = 134)Telephone consultation10 (7.5%)58 (43.2%)Referral to the GP or outpatient specialist clinic visit2 (1.5%)12 (8.9%)Referral for hospital admission1 (0.7%)18 (13.4%)Pharmacotherapy modificationN/A2 (1.5%)Abstract Figure.

External validation of a heart failure risk prediction model in a remote monitoring cohort submitted to cardiac resynchronization therapy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
I Cardoso ◽  
M Coutinho ◽  
G Portugal ◽  
A Valentim ◽  
A.S Delgado ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
High Risk ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
External Validation ◽  
Left Ventricular Ejection ◽  
National Database ◽  
Failure Risk

Abstract Background Patients (P) submitted to cardiac ressynchronization therapy (CRT) are at high risk of heart failure (HF) events during follow-up. Continuous analysis of various physiological parameters, as reported by remote monitoring (RM), can contribute to point out incident HF admissions. Tailored evaluation, including multi-parameter modelling, may further increase the accuracy of such algorithms. Purpose Independent external validation of a commercially available algorithm (“Heart Failure Risk Status” HFRS, Medtronic, MN USA) in a cohort submitted to CRT implantation in a tertiary center. Methods Consecutive P submitted to CRT implantation between January 2013 and September 2019 who had regular RM transmissions were included. The HFRS algorithm includes OptiVol (Medtronic Plc., MN, USA), patient activity, night heart rate (NHR), heart rate variability (HRV), percentage of CRT pacing, atrial tachycardia/atrial fibrillation (AT/AF) burden, ventricular rate during AT/AF (VRAF), and detected arrhythmia episodes/therapy delivered. P were classified as low, medium or high risk. Hospital admissions were systematically assessed by use of a national database (“Plataforma de Dados de Saúde”). Accuracy of the HFRS algorithm was evaluated by random effects logistic regression for the outcome of unplanned hospital admission for HF in the 30 days following each transmission episode. Results 1108 transmissions of 35 CRT P, corresponding to 94 patient-years were assessed. Mean follow-up was 2.7 yrs. At implant, age was 67.6±9.8 yrs, left ventricular ejection fraction 28±7.8%, BNP 156.6±292.8 and NYHA class >II in 46% of the P. Hospital admissions for HF were observed within 30 days in 9 transmissions. Stepwise increase in HFRS was significantly associated with higher risk of HF admission (odds ratio 12.7, CI 3.2–51.5). HFRS had good discrimination for HF events with receiving-operator curve AUC 0.812. Conclusions HFRS was significantly associated with incident HF admissions in a high-risk cohort. Prospective use of this algorithm may help guide HF therapy in CRT recipients. Funding Acknowledgement Type of funding source: None

scholarly journals Invasive Devices and Sensors for Remote Care of Heart Failure Patients

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2014
Author(s):  
Sumant P. Radhoe ◽  
Jesse F. Veenis ◽  
Jasper J. Brugts
Keyword(s):  
Heart Failure ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
Acute Decompensated Heart Failure ◽  
Admission Rate ◽  
Decompensated Heart Failure ◽  
Hospital Admission Rate ◽  
Remote Care ◽  
New Sensors ◽  
Near Future

The large and growing burden of chronic heart failure (CHF) on healthcare systems and economies is mainly caused by a high hospital admission rate for acute decompensated heart failure (HF). Several remote monitoring techniques have been developed for early detection of worsening disease, potentially limiting the number of hospitalizations. Over the last years, the scope has been shifting towards the relatively novel invasive sensors capable of measuring intracardiac filling pressures, because it is believed that hemodynamic congestion precedes clinical congestion. Monitoring intracardiac pressures may therefore enable clinicians to intervene and avert hospitalizations in a pre-symptomatic phase. Several techniques have been discussed in this review, and thus far, remote monitoring of pulmonary artery pressures (PAP) by the CardioMEMS (CardioMicroelectromechanical system) HF System is the only technique with proven safety as well as efficacy with regard to the prevention of HF-related hospital admissions. Efforts are currently aimed to further develop existing techniques and new sensors capable of measuring left atrial pressures (LAP). With the growing body of evidence and need for remote care, it is expected that remote monitoring by invasive sensors will play a larger role in HF care in the near future.

scholarly journals Remote monitoring of patients with heart failure during the first national lockdown for COVID-19 in France

2021 ◽  
Author(s):  
Sylvain Ploux ◽  
Marc Strik ◽  
Saer Abu-Alrub ◽  
F Daniel Ramirez ◽  
Samuel Buliard ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Care ◽  
Heart Rate ◽  
Remote Monitoring ◽  
Marked Decrease ◽  
Clinical Status ◽  
Health Care Use ◽  
Physiological Variables ◽  
Patients With Heart Failure ◽  
Vital Parameters

Abstract Background Multiparametric remote monitoring of patients with heart failure (HF) has the potential to mitigate the health risks of lockdowns for COVID-19. Aims To compare health care use, physiological variables, and HF decompensations during one month before and during the first month of the first French national lockdown for COVID-19 among patients undergoing remote monitoring. Methods Transmitted vital parameters and data from cardiac implantable electronic devices were analyzed in 51 patients. Medical contact was defined as the sum of visits and days of hospitalization. Results The lockdown was associated with a marked decrease in cardiology medical contact (118 days before vs 26 days during, -77%, p = 0.003) and overall medical contact (180 days before vs 79 days during, -58%, p = 0.005). Patient adherence with remote monitoring was 84±21% before and 87±19% during lockdown. The lockdown was not associated with significant changes in various parameters, including physical activity (2±1 to 2±1 h/day), weight (83±16 to 83±16 kg), systolic blood pressure (121±19 to 121±18 mmHg), heart rate (68±10 to 67±10 bpm), heart rate variability (89±44 to 78±46 ms, p = 0.05), atrial fibrillation burden (84±146 vs 86±146 h/month), or thoracic impedance (66±8 to 66±9 Ω). Seven cases of HF decompensations were observed before lockdown, all but one of which required hospitalization, versus six during lockdown, all but one of which were managed remotely. Conclusions The lockdown restrictions caused a marked decrease in health care use but no significant change in the clinical status of HF patients under multiparametric remote monitoring. lay summary The first French COVID-19 lockdown had a huge detrimental impact on conventional health care use (-78% in cardiology medical contact). However the lockdown had little impact over the short-term, if any, on vital parameters and the clinical status of patients with heart failure who were adherent to multiparametric remote monitoring. This remote monitoring strategy allowed early identification and home management of most of the heart failure decompensations during the lockdown.

scholarly journals Long-term Effects of Telemonitoring on Healthcare Usage in Patients with Heart Failure or COPD (Preprint)

2018 ◽  
Author(s):  
Jorien Maria Margaretha van der Burg ◽  
Nasir Ahmad Aziz ◽  
Maurits C. Kaptein ◽  
Martine J.M. Breteler ◽  
Joris H. Jansen ◽  
...  
Keyword(s):  
Heart Failure ◽  
The Netherlands ◽  
Healthcare Costs ◽  
Hospital Admissions ◽  
Disease Stage ◽  
Chronic Obstructive ◽  
Home Telemonitoring ◽  
Copd Patients ◽  
Patients With Heart Failure

UNSTRUCTURED Objective The aim of this study was to evaluate the effectiveness of home telemonitoring in reducing healthcare usage and costs in patients with heart failure or chronic obstructive pulmonary disease (COPD). Design The study was a retrospective observational study with a pre-post research design and a follow-up duration of up to 3 years, based on hospital data collected in the period 2012-2016. Setting Data was collected at the Slingeland Hospital in Doetinchem, The Netherlands. Participants In 2012 the Slingeland Hospital in The Netherlands started a telemonitoring program for patients with COPD or heart failure as part of their usual care. Patients were eligible for the telemonitoring program if they were in an advanced disease stage (New York Heart Association (NYHA) functional class 3 or 4; COPD gold stage 3 or 4), received treatment for their condition by a cardiologist or pulmonary specialist at the Slingeland Hospital, were proficient in Dutch and capable of providing informed consent. Exclusion criteria were absence of the cognitive, physical or logistical ability required to fully participate in the program. Hundred seventy-seven patients with heart failure and 83 patients with COPD enrolled the program between 2012 and 2016. Intervention Using a touchscreen, participants with heart failure recorded their weight (daily), blood pressure and heart rate (once a week) through connected instruments, and completed a questionnaire about their symptoms (once a week). Symptoms in patients with COPD were monitored via the Clinical COPD Questionnaire (CCQ), which participants were asked to complete twice per week. All home registrations were sent via a telemonitoring application (cVitals, FocusCura, Driebergen-Rijssenburg) on the iPad to a medical service center were a trained nurse monitored the data and contacted the patient by video chat or a specialised nurse in the hospital in case of abnormal results, such as deviations from a preset threshold or alterations in symptom score. Outcome measures The primary outcome was the number of hospitalisations; the secondary outcomes were total number of hospitalisation days and healthcare costs during the follow-up period. Generalised Estimating Equations were applied to account for repeated measurements, adjusting for sex, age and length of follow-up. Results In heart failure patients (N=177), after initiation of home telemonitoring both the number of hospitalisations and the total number of hospitalisation days significantly decreased (incidence rate ratio of 0.35 (95% CI: 0.26-0.48) and 0.35 (95% CI: 0.24-0.51), respectively), as did the total healthcare costs (exp(B) = 0.11 (95% CI: 0.08-0.17)), all p < 0.001. In COPD patients (N=83) neither the number of hospitalisations nor the number of hospitalisation days changed compared to the pre-intervention period. However, the average healthcare costs were about 54% lower in COPD patients after the start of the home telemonitoring intervention (exp(B) = 0.46, 95% CI 0.25-0.84, p = 0.011). Conclusion Integrated telemonitoring significantly reduced the number of hospital admissions and days spent in hospital in patients with heart failure, but not in patients with COPD. Importantly, in both patients with heart failure and COPD the intervention substantially reduced the total healthcare costs.

Effect of a Single Subcutaneous Infusion of Furosemide Compared with Intravenous Bolus on Vital Signs in Patients with Heart Failure

2018 ◽  
Vol 24 (8) ◽  
pp. S15-S16
Author(s):  
John Mohr ◽  
Rene Myers ◽  
James E. Udelson ◽  
Daniel Bensimhon ◽  
Stuart D. Russell
Keyword(s):  
Heart Failure ◽  
Vital Signs ◽  
Intravenous Bolus ◽  
Subcutaneous Infusion ◽  
Patients With Heart Failure

scholarly journals It is easy to see, but it is better to foresee: a case report on the favourable alliance between CardioMEMS and levosimendan

2020 ◽  
Vol 4 (4) ◽  
pp. 1-5
Author(s):  
Valeria Visco ◽  
Cristina Esposito ◽  
Paolo Vitillo ◽  
Carmine Vecchione ◽  
Michele Ciccarelli
Keyword(s):  
Heart Failure ◽  
Hospital Admissions ◽  
Systolic Pressure ◽  
Pulmonary Artery Systolic Pressure ◽  
Optimal Management ◽  
Reduced Ejection Fraction ◽  
The Past ◽  
Case Summary ◽  
Pressure Profiles ◽  
Patients With Heart Failure

Abstract Background In the past years, different devices have been investigated to help in identifying early decompensation events in patients with heart failure (HF) and reduced ejection fraction (EF), reducing hospital admissions. In this report, we present the first patient experience with levosimendan infusion led by CardioMEMS. Case summary A 68-year-old man with HF and reduced EF with more than 20 hospitalizations for exacerbation of HF was enrolled in our HF Clinic from October 2017. Echocardiogram showed a dilated left ventricle with severely reduced EF (29%) and increased pulmonary artery systolic pressure (40 mmHg). From October 2017 to May 2019, the patient went through numerous hospitalizations, despite optimal medical therapy; subsequently, was adopted a strategy of levosimendan infusions guided by CardioMEMS. Levosimendan infusions improved haemodynamic and pressure profiles. The patient was monitored daily by CardioMEMS, and from June to December 2019, he had only two hospitalizations scheduled for levosimendan infusion and none for HF exacerbation. Discussion Our case supports the combination of CardioMEMS and levosimendan for the optimal management of patients with advanced HF. These results further strengthen the development of a randomized clinical trial to demonstrate the clinical usefulness of this device in combination with the levosimendan infusion programme in advanced HF patients.

Retrospective application of Program to Access and Review Trending iNformation and Evaluate coRrelation to Symptoms in patients with Heart Failure criteria for the remote management of patients with cardiac resynchronisation therapy

2016 ◽  
Vol 23 (4) ◽  
pp. 470-475
Author(s):  
Francesco MA Brasca ◽  
Jessica Franzetti ◽  
Valeria Rella ◽  
Gabriella Malfatto ◽  
Roberto Brambilla ◽  
...  
Keyword(s):  
Heart Failure ◽  
Remote Monitoring ◽  
Area Under The Curve ◽  
Cardiac Resynchronisation Therapy ◽  
Failure Criteria ◽  
Heart Failure Patients ◽  
Patients With Heart Failure ◽  
Cardiac Resynchronisation ◽  
Acute Decompensation ◽  
Resynchronisation Therapy

Aim The Program to Access and Review Trending iNformation and Evaluate coRrelation to Symptoms in patients with Heart Failure (PARTNERS HF) trial elaborated a multiparametric model for prediction of acute decompensation in advanced heart failure patients, based on periodical in office data download from cardiac resynchronisation devices. In this study, we evaluated the ability of the PARTNERS HF criteria to detect initial decompensation in a population of moderate heart failure patients under remote monitoring. Methods We retrospectively applied the PARTNERS HF criteria to 1860 transmissions from 104 patients (median follow up 21 months; range 1–67 months), who were enrolled in our programme of telemedicine after cardiac resynchronisation therapy. We tested the ability of a score based on these criteria to predict any acute clinical decompensation occurring in the 15 days following a transmission. Results In 441 cases, acute heart failure was diagnosed after the index transmission. The area under the curve (AUC) of the score for the diagnosis of acute decompensation was 0.752 (confidence interval (CI) 95% 0.728–0.777). The best score cut-off was consistent with the results of PARTNERS HF: with a score ≥2, sensitivity was 75% and specificity 68%. The odds ratio for events was 6.24 (CI 95% 4.90–7.95; p < 0.001). Conclusions When retrospectively applied to remote monitoring transmissions and arranged in a score, PARTNERS HF criteria could identify HF patients who subsequently developed acute decompensation. These results warrant prospective studies applying PARTNERS HF criteria to remote monitoring.

Sign in / Sign up

Export Citation Format

Share Document