scholarly journals Detection of Preclinical Body Fluid Retention in Established Heart Failure Patients During Follow-Up by a Digital Weight Scale Incorporating a Bioelectrical Impedance Analyzer

2011 ◽  
Vol 18 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Hajime Kataoka
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Myoung Hoon Jung ◽  
Kak Namkoong ◽  
Yeolho Lee ◽  
Young Jun Koh ◽  
Kunsun Eom ◽  
...  

AbstractBioelectrical impedance analysis (BIA) is used to analyze human body composition by applying a small alternating current through the body and measuring the impedance. The smaller the electrode of a BIA device, the larger the impedance measurement error due to the contact resistance between the electrode and human skin. Therefore, most commercial BIA devices utilize electrodes that are large enough (i.e., 4 × 1400 mm2) to counteract the contact resistance effect. We propose a novel method of compensating for contact resistance by performing 4-point and 2-point measurements alternately such that body impedance can be accurately estimated even with considerably smaller electrodes (outer electrodes: 68 mm2; inner electrodes: 128 mm2). Additionally, we report the use of a wrist-wearable BIA device with single-finger contact measurement and clinical test results from 203 participants at Seoul St. Mary’s Hospital. The correlation coefficient and standard error of estimate of percentage body fat were 0.899 and 3.76%, respectively, in comparison with dual-energy X-ray absorptiometry. This result exceeds the performance level of the commercial upper-body portable body fat analyzer (Omron HBF-306). With a measurement time of 7 s, this sensor technology is expected to provide a new possibility of a wearable bioelectrical impedance analyzer, toward obesity management.


2008 ◽  
Vol 14 (7) ◽  
pp. S140-S141
Author(s):  
Kenji Ando ◽  
Yoshimitsu Soga ◽  
Masahiko Goya ◽  
Shinichi Shirai ◽  
Shinya Nagayama ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
H.Y Chang ◽  
W.R Chiou ◽  
P.L Lin ◽  
C.Y Hsu ◽  
C.T Liao ◽  
...  

Abstract Background Ischemic cardiomyopathy (ICM) has been associated with increased mortality when compared with non-ischemic cardiomyopathy (NICM) from several heart failure (HF) cohorts. Instead, PARADIGM study demonstrated similar event rates of cardiovascular (CV) death, all-cause mortality and HF readmissions between ICM and NICM patients. Although the beneficiary effect of sacubitril/valsartan (SAC/VAL) compared to enalapril on these endpoints was consistent across etiologic categories, PARADIGM study did not analyze the effect of ventricular remodeling of SAC/VAL on patients with different HF etiologies, which may significantly affect treatment outcomes. Purpose We aim to compare alterations of left ventricular ejection fraction (LVEF) following SAC/VAL treatment and its association with clinical outcomes in patients with different HF etiologies. Methods Treatment with angiotensin receptor neprilysin inhibitor for Taiwan heart failure patients (TAROT-HF) study is a multicenter study which enrolled 1552 patients with LVEF <40%, whom had been on SAC/VAL treatment from 9 hospitals between 2017 and 2018. After excluding patients without having follow-up echocardiographic studies, patients were grouped by HF etiologies and by LVEF changes following treatment for 8-month period. LVEF improvement ≥15% was defined as “significant improvement”, 5–15% as “marginal improvement”, and <5% or worse as “lack of improvement”. The primary endpoint was a composite of CV death or a first hospitalization for HF. Mean follow-up period was 726 days. Results A total of 1230 patients were analyzed. Patients with ICM were significantly older, more male, and prone to have associated hypertension and diabetes. On the other hand, patients with NICM had lower LVEF and higher likelihood of atrial fibrillation. LVEF increase was significantly greater in patients with NICM compared to those with ICM (11.2±12.4% vs. 6.9±9.8, p<0.001). The effect of ventricular remodeling of SAC/VAL on patients with NICM showed twin peaks diversity (Significant improvement 37.1%, lack of improvement 42.3%), whereas in patients with ICM the proportions of significant, marginal and lack of improvement groups were 19.4%, 28.2% and 52.4%, respectively. The primary endpoint showed twin peaks diversity also in patients with NICM in line with LVEF changes: adjusted HR for patients with NICM and significant improvement was 0.41 (95% CI 0.29–0.57, p<0.001), for patients with NICM and lack of improvement was 1.54 (95% CI 1.22–1.94, p<0.001). Analyses for CV death, all-cause mortality, and HF readmission demonstrated consistent results. Conclusion Patients with NICM had higher degree of LVEF improvement than those with ICM following SAC/VAL treatment, and significant improvement of LVEF in NICM patients may indicate favorable outcome. NICM patients without response to SAC/VAL treatment should serve as an indicator for poor clinical outcome and warranted meticulous HF management. Funding Acknowledgement Type of funding source: Private hospital(s). Main funding source(s): Cheng Hsin General Hospital


2014 ◽  
Vol 16 (11) ◽  
pp. 1241-1248 ◽  
Author(s):  
Marie Louise A. Luttik ◽  
Tiny Jaarsma ◽  
Peter Paul van Geel ◽  
Maaike Brons ◽  
Hans L. Hillege ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244485
Author(s):  
Caroline Verhestraeten ◽  
Gijs Weijers ◽  
Daphne Debleu ◽  
Agnieszka Ciarka ◽  
Marc Goethals ◽  
...  

Aims Creation of an algorithm that includes the most important parameters (history, clinical parameters, and anamnesis) that can be linked to heart failure, helping general practitioners in recognizing heart failure in an early stage and in a better follow-up of the patients. Methods and results The algorithm was created using a consensus-based Delphi panel technique with fifteen general practitioners and seven cardiologists from Belgium. The method comprises three iterations with general statements on diagnosis, referral and treatment, and follow-up. Consensus was obtained for the majority of statements related to diagnosis, referral, and follow-up, whereas a lack of consensus was seen for treatment statements. Based on the statements with good and perfect consensus, an algorithm for general practitioners was assembled, helping them in diagnoses and follow-up of heart failure patients. The diagnosis should be based on three essential pillars, i.e. medical history, anamnesis and clinical examination. In case of suspected heart failure, blood analysis, including the measurement of NT-proBNP levels, can already be performed by the general practitioner followed by referral to the cardiologist who is then responsible for proper diagnosis and initiation of treatment. Afterwards, a multidisciplinary health care process between the cardiologist and the general practitioner is crucial with an important role for the general practitioner who has a key role in the up-titration of heart failure medication, down-titration of the dose of diuretics and to assure drug compliance. Conclusions Based on the consensus levels of statements in a Delphi panel setting, an algorithm is created to help general practitioners in the diagnosis and follow-up of heart failure patients.


2021 ◽  
Vol 11 (1) ◽  
pp. 121
Author(s):  
Marco Canepa ◽  
Pietro Palmisano ◽  
Gabriele Dell’Era ◽  
Matteo Ziacchi ◽  
Ernesto Ammendola ◽  
...  

The role of prognostic risk scores in predicting the competing risk of non-sudden death in heart failure patients with reduced ejection fraction (HFrEF) receiving an implantable cardioverter-defibrillator (ICD) is unclear. To this goal, we evaluated the accuracy and usefulness of the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score. The present analysis included 1089 HFrEF ICD recipients enrolled in the OBSERVO-ICD registry (NCT02735811). During a median follow-up of 36 months (1st–3rd IQR 25–48 months), 193 patients (17.7%) experienced at least one appropriate ICD therapy, and 133 patients died (12.2%) without experiencing any ICD therapy. The frequency of patients receiving ICD therapies was stable around 17–19% across increasing tertiles of 3-year MAGGIC probability of death, whereas non-sudden mortality increased (6.4% to 9.8% to 20.8%, p < 0.0001). Accuracy of MAGGIC score was 0.60 (95% CI, 0.56–0.64) for the overall outcome, 0.53 (95% CI, 0.49–0.57) for ICD therapies and 0.65 (95% CI, 0.60–0.70) for non-sudden death. In patients with higher 3-year MAGGIC probability of death, the increase in the competing risk of non-sudden death during follow-up was greater than that of receiving an appropriate ICD therapy. Results were unaffected when analysis was limited to ICD shocks only. The MAGGIC risk score proved accurate and useful in predicting the competing risk of non-sudden death in HFrEF ICD recipients. Estimation of mortality risk should be taken into greater consideration at the time of ICD implantation.


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