Comparison of three diuretic treatment strategies for patients with acute decompensated heart failure

Herz ◽  
2015 ◽  
Vol 40 (8) ◽  
pp. 1115-1120 ◽  
Author(s):  
Çağrı Yayla ◽  
Ahmet Akyel ◽  
Uğur Canpolat ◽  
Kadriye Gayretli Yayla ◽  
Azmi Eyiol ◽  
...  
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P Schulte ◽  
L Olson ◽  
C Bruce

Abstract Introduction Patients discharged after acute decompensated heart failure (ADHF) have elevated risk for readmission due to multiple factors including suboptimal behavioral and social support. Telemonitoring interventions have shown inconsistent effectiveness in reducing HF readmissions. Patient-centered health coaching, when combined with telemonitoring, may be a viable model to engage patients in self-care behaviors and enhance patient experiences following acute hospitalization. Purpose This multicenter randomized trial evaluates whether remote telemonitoring combined with health coaching decreases 60 day readmission rates for patients with ADHF when compared to standard of care. Methods Patients with primary or secondary diagnosis of ADHF were consented and randomized prior to hospital discharge to either standard care or intervention of remote telemonitoring and health coaching. Within 2 days of hospital dismissal, intervention patients were onboarded to the remote monitoring platform, which links personal health sensors which collect on-body physiologic measures (ECG, heart rate, respiration rate, and activity via 3-axis accelerometer) with providers through secure mobile communication. A registered nurse was designated as the primary health coach focusing on disease management - including symptom recognition, adherence to treatment strategies, care coordination, medication matters, and problem solving. A social worker and nutritionist were also assigned. The primary outcome was all-cause mortality or readmission within 60 days of hospital dismissal. Statistical analysis included stratified log-rank tests and stratified Cochran-Mantel-Haenszel Chi-square test to account for site-stratified randomization. Results The study was halted due to low rate of subject accrual. Of planned 304 subjects, 143 were randomized between 2015 and 2019 at 6 sites in the United States. Dropout and withdrawal after randomization of 32 subjects (22%) left 112 analyzable for the primary endpoint. Many subject withdrawals after unblinded disclosure of arm allocation were related to treatment assignment. Immediate withdrawal without follow up in these subjects precluded an intention-to-treat analysis. Mean age was 69 years and subjects were more often male (56%) and non-Hispanic white (70%). In per-protocol analysis, using subjects adherent to protocol specified visits (n=112), we observe no difference in the primary outcome (26% among intervention vs 28% among standard care, Figure, p=0.77). There were also no differences among secondary outcomes of overall mortality (2% vs 7%, p=0.20) or composite emergency department visit, hospital admission, or death (35% vs 34%, p=0.85). Conclusions Among patients with heart failure, an intervention of remote telemonitoring and health coaching did not reduce all-cause readmission or mortality. Significant withdrawal rates suggest future studies may need to improve screening and study retention. Figure 1 Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Institutes of Health, National Institute on Aging


2020 ◽  
Author(s):  
Thomas Vollmert ◽  
Martin Hellmich ◽  
Natig Gassanov ◽  
Fikret Er ◽  
Seyrani Yücel ◽  
...  

Abstract Aims Heart failure is a syndrome with increasing prevalence in concordance with the aging population and better survival rates from myocardial infarction. Morbidity and mortality are high in chronic heart failure patients, particularly in those with hospital admission for acute decompensation. Several risk stratification tools and score systems have been established to predict mortality in chronic heart failure patients. However, identification of patients at risk with easy obtainable clinical factors that can predict mortality in acute decompensated heart failure (ADHF) are needed to optimize the care-path. Methods and Results We retrospectively analyzed electronic medical records of 78 patients with HFrEF and HFmrEF who were hospitalized with ADHF in the Heart Center of the University Hospital Cologne in the year 2011 and discharged from the ward after successful treatment. 37.6±16.4 months after index hospitalization 30 (38,5%) patients had died. This mortality rate correlated well with the calculated predicted survival with the Seattle Heart Failure Model (SHFM) for each individual patient. In our cohort, we identified elevated heart rate at discharge as an independent predictor for mortality (p=0.016). The mean heart rate at discharge was lower in survived patients compared to patients who died (72.5±11.9 bpm vs. 79.1±11.2 bpm. Heart rate of 77 bpm or higher was associated with an almost doubled mortality risk (p=0.015). Heart rate elevation of 5 bpm was associated with an increase of mortality of 25% (p=0.022).Conclusions Patients hospitalized for ADHF seem to have a better prognosis, when heart rate at discharge is <77 bpm. Heart rate at discharge is an easily obtainable biomarker for risk prediction of mortality in HFrEF and HFmrEF patients treated for acute cardiac decompensation. Taking into account this parameter could be useful for guiding treatment strategies in these high-risk patients. Prospective data for validation of this biomarker and specific intervention is needed.


2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Thomas Vollmert ◽  
Martin Hellmich ◽  
Natig Gassanov ◽  
Fikret Er ◽  
Seyrani Yücel ◽  
...  

Abstract Aims Heart failure is a syndrome with increasing prevalence in concordance with the aging population and better survival rates from myocardial infarction. Morbidity and mortality are high in chronic heart failure patients, particularly in those with hospital admission for acute decompensation. Several risk stratification tools and score systems have been established to predict mortality in chronic heart failure patients. However, identification of patients at risk with easy obtainable clinical factors that can predict mortality in acute decompensated heart failure (ADHF) are needed to optimize the care-path. Methods and results We retrospectively analyzed electronic medical records of 78 patients with HFrEF and HFmrEF who were hospitalized with ADHF in the Heart Center of the University Hospital Cologne in the year 2011 and discharged from the ward after successful treatment. 37.6 ± 16.4 months after index hospitalization 30 (38.5%) patients had died. This mortality rate correlated well with the calculated predicted survival with the Seattle Heart Failure Model (SHFM) for each individual patient. In our cohort, we identified elevated heart rate at discharge as an independent predictor for mortality (p = 0.016). The mean heart rate at discharge was lower in survived patients compared to patients who died (72.5 ± 11.9 vs. 79.1 ± 11.2 bpm. Heart rate of 77 bpm or higher was associated with an almost doubled mortality risk (p = 0.015). Heart rate elevation of 5 bpm was associated with an increase of mortality of 25% (p = 0.022). Conclusions Patients hospitalized for ADHF seem to have a better prognosis, when heart rate at discharge is < 77 bpm. Heart rate at discharge is an easily obtainable biomarker for risk prediction of mortality in HFrEF and HFmrEF patients treated for acute cardiac decompensation. Taking into account this parameter could be useful for guiding treatment strategies in these high-risk patients. Prospective data for validation of this biomarker and specific intervention are needed.


2020 ◽  
Author(s):  
Thomas Vollmert ◽  
Martin Hellmich ◽  
Natig Gassanov ◽  
Fikret Er ◽  
Seyrani Yücel ◽  
...  

Abstract Aims Heart failure is a syndrome with increasing prevalence in concordance with the aging population and better survival rates from myocardial infarction. Morbidity and mortality are high in chronic heart failure patients, particularly in those with hospital admission for acute decompensation. Several risk stratification tools and score systems have been established to predict mortality in chronic heart failure patients. However, identification of patients at risk with easy obtainable clinical factors that can predict mortality in acute decompensated heart failure (ADHF) are needed to optimize the care-path. Methods and Results We retrospectively analyzed electronic medical records of 78 patients with HFrEF and HFmrEF who were hospitalized with ADHF in the Heart Center of the University Hospital Cologne in the year 2011 and discharged from the ward after successful treatment. 37.6±16.4 months after index hospitalization 30 (38,5%) patients had died. This mortality rate correlated well with the calculated predicted survival with the Seattle Heart Failure Model (SHFM) for each individual patient. In our cohort, we identified elevated heart rate at discharge as an independent predictor for mortality (p=0.016). The mean heart rate at discharge was lower in survived patients compared to patients who died (72.5±11.9 bpm vs. 79.1±11.2 bpm. Heart rate of 77 bpm or higher was associated with an almost doubled mortality risk (p=0.015). Heart rate elevation of 5 bpm was associated with an increase of mortality of 25% (p=0.022).Conclusions Patients hospitalized for ADHF seem to have a better prognosis, when heart rate at discharge is <77 bpm. Heart rate at discharge is an easily obtainable biomarker for risk prediction of mortality in HFrEF and HFmrEF patients treated for acute cardiac decompensation. Taking into account this parameter could be useful for guiding treatment strategies in these high-risk patients. Prospective data for validation of this biomarker and specific intervention is needed.


2012 ◽  
Vol 8 (2) ◽  
pp. 128
Author(s):  
Ali Vazir ◽  
Martin R Cowie ◽  
◽  

Acute heart failure – the rapid onset of, or change in, signs and/or symptoms of heart failure requiring urgent treatment – is a serious clinical syndrome, associated with high mortality and healthcare costs. History, physical examination and early 2D and Doppler echocardiography are crucial to the proper assessment of patients, and will help determine the appropriate monitoring and management strategy. Most patients are elderly and have considerable co-morbidity. Clinical assessment is key to monitoring progress, but a number of clinical techniques – including simple Doppler and echocardiographic tools, pulse contour analysis and impedance cardiography – can help assess the response to therapy. A pulmonary artery catheter is not a routine monitoring tool, but can be very useful in patients with complex physiology, in those who fail to respond to therapy as would be anticipated, or in those being considered for mechanical intervention. As yet, the serial measurement of plasma natriuretic peptides is of limited value, but it does have a role in diagnosis and prognostication. Increasingly, the remote monitoring of physiological variables by completely implanted devices is possible, but the place of such technology in clinical practice is yet to be clearly established.


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