scholarly journals Deep Ensemble Detection of Congestive Heart Failure Using Short-Term RR Intervals

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 69559-69574 ◽  
Author(s):  
Ludi Wang ◽  
Wei Zhou ◽  
Qing Chang ◽  
Jiangen Chen ◽  
Xiaoguang Zhou
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Short Term ◽  
Rr Intervals

scholarly journals An Improved UNet Model for Congestive Heart Failure Diagnosis Using Short-Term RR Intervals++

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 534
Author(s):  
Meng Lei ◽  
Jia Li ◽  
Ming Li ◽  
Liang Zou ◽  
Han Yu
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Early Stage ◽  
Normal Subjects ◽  
Prognostic Indicator ◽  
Medical Image Segmentation ◽  
Failure Diagnosis ◽  
Short Term ◽  
Rr Intervals ◽  
Heart Failure Diagnosis

Congestive heart failure (CHF), a progressive and complex syndrome caused by ventricular dysfunction, is difficult to detect at an early stage. Heart rate variability (HRV) was proposed as a prognostic indicator for CHF. Inspired by the success of 2-D UNet++ in medical image segmentation, in this paper, we introduce an end-to-end encoder-decoder model to detect CHF using HRV signals. The developed model enhances the UNet++ model with Squeeze-and-Excitation (SE) residual blocks to extract deep features hierarchically and distinguish CHF patients from normal subjects. Two open-source databases are utilized for evaluating the proposed method, and three segment lengths of intervals between successive R-peaks are employed in comparison with state-of-the-art methods. The proposed method achieves an accuracy of 85.64%, 86.65% and 88.79% when 500, 1000 and 2000 RR intervals are utilized, respectively. It demonstrates that HRV evaluation based on deep learning can be an important tool for early detection of CHF, and may assist clinicians in achieving timely and accurate diagnoses.

Minor Depression as a Short-Term Risk Factor in Outpatients With Congestive Heart Failure

2009 ◽  
Vol 50 (5) ◽  
pp. 493-499 ◽  
Author(s):  
Chiara Rafanelli ◽  
Yuri Milaneschi ◽  
Renzo Roncuzzi
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Risk Factor ◽  
Minor Depression ◽  
Short Term

Short-term effects of ecadotril in dogs with induced congestive heart failure

2000 ◽  
Vol 61 (3) ◽  
pp. 333-338 ◽  
Author(s):  
N. Bari Olivier ◽  
Susan M. Kutas ◽  
Sue Beals ◽  
Beth Hanson ◽  
Soren Windram
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Short Term ◽  
Short Term Effects

scholarly journals Short-term effects of naloxone hemodynamics and baroreflex function in conscious dogs with pacing-induced congestive heart failure

1994 ◽  
Vol 23 (1) ◽  
pp. 194-200 ◽  
Author(s):  
Yoshihiro Himura ◽  
Chang-Seng Liang ◽  
Naoaki Imai ◽  
Joseph M. Delehanty ◽  
Paul D. Woolf ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Conscious Dogs ◽  
Short Term ◽  
Baroreflex Function ◽  
Short Term Effects

Clinical significance of controlling nutritional status score for predicting short-term clinical events in takotsubo syndrome: a multicenter study

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Takahashi ◽  
M Sudo ◽  
A Ogaku ◽  
Y Saito ◽  
W Atsumi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Nutritional Status ◽  
Hospital Stay ◽  
Secondary Outcome ◽  
Takotsubo Syndrome ◽  
Short Term ◽  
Duration Of Hospital Stay ◽  
Clinical Events ◽  
Conut Score

Abstract Background The Controlling Nutritional Status (CONUT) score is well known as a marker of nutritional status. Previous studies have reported that CONUT score could predict a prognosis of acute or chronic heart failure, and infective endocarditis. Takotsubo syndrome (TTS) is said to have a relatively good prognosis, but some patients have a bad turning point in hospital stay. Lower systolic blood pressure on admission, history of diabetes mellitus, and β-blocker use before admission have been reported as predictors of in-hospital cardiac complications. However, the prognostic utility of CONUT score in TTS is unclear. The aim of study was to evaluate duration of hospital stay and short-term clinical events with CONUT score in TTS. Methods Seventy-nine TTS patients who were admitted to 3 medical centers in Japan between January 2011 and October 2019 were enrolled. The average age was 71.8±11.5 years old, and the prevalence of female sex was 81%. The CONUT score was calculated based on the serum albumin, total lymphocyte and total cholesterol on admission. We retrospectively investigated the association between the short-term clinical events and CONUT score. The duration of hospital stay was defined as the primely outcome, and all cause death and congestive heart failure in hospital stay as the secondary outcome. Results The average CONUT score was 3.7±3.0. A positive correlation was found between the CONUT score and the duration of hospital stay (r=0.56, p<0.01). Twenty (25.3%) patients suffered from clinical events (all cause death and congestive heart failure in hospital). Those patients with clinical events had significantly higher the CONUT score than those without (all cause death, 7.2±2.6 vs. 3.5±2.9, p<0.01, congestive heart failure, 5.3±3.4 vs. 3.3±2.8, p=0.02, composite clinical events, 5.8±3.2 vs. 3.0±2.6, p<0.01). ROC curve analysis revealed that the optimal cut-off value of the CONUT score for the prediction of composite clinical events was 4.0 (AUC: 0.75, sensitivity: 80%, Specificity: 64%). The patients with CONUT score of 4 or more (high COUNT score) were more prevalent in patients who experienced composite clinical events than in those who didn't (80% vs. 35.6%, p<0.01). The patients with a high CONUT score had a longer hospital stay and higher occurrence of composite clinical events than those with CONUT score less than 4 (respectively, 27.2±19.1 days vs. 13.8±8.3 days, p<0.01, 25.3% vs. 9.5%, p<0.01). Conclusions The CONUT score in TTS patients was strongly associated with the duration of hospital stay and clinical events in hospital. The CONUT score is a simple indicator that can be calculated with only three factors. Therefore, the CONUT score on admission may be useful for a predictor of short-term clinical events in TTS patients. Funding Acknowledgement Type of funding source: None

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