scholarly journals Baseline functional capacity in patients with heart failure risk factors: association with heart failure symptoms and events at 1 year follow-up

2015 ◽  
Vol 24 ◽  
pp. S198-S199
Author(s):  
H. Yang ◽  
K. Negishi ◽  
M. Nolan ◽  
Y. Wang ◽  
M. Saito ◽  
...  
2011 ◽  
Vol 17 (1) ◽  
pp. 54-75 ◽  
Author(s):  
Gregory Giamouzis ◽  
Andreas Kalogeropoulos ◽  
Vasiliki Georgiopoulou ◽  
Sonjoy Laskar ◽  
Andrew L. Smith ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Matti A. Vuori ◽  
Jaakko Reinikainen ◽  
Stefan Söderberg ◽  
Ellinor Bergdahl ◽  
Pekka Jousilahti ◽  
...  

Abstract Background The risk of heart failure among diabetic individuals is high, even under tight glycemic control. The correlates and mediators of heart failure risk in individuals with diabetes need more elucidation in large population-based cohorts with long follow-up times and a wide panel of biologically relevant biomarkers. Methods In a population-based sample of 3834 diabetic and 90,177 non-diabetic individuals, proportional hazards models and mediation analysis were used to assess the relation of conventional heart failure risk factors and biomarkers with incident heart failure. Results Over a median follow-up of 13.8 years, a total of 652 (17.0%) and 5524 (6.1%) cases of incident heart failure were observed in participants with and without diabetes, respectively. 51.4% were women and the mean age at baseline was 48.7 (standard deviation [SD] 12.5) years. The multivariable-adjusted hazard ratio (HR) for heart failure among diabetic individuals was 2.70 (95% confidence interval, 2.49–2.93) compared to non-diabetic participants. In the multivariable-adjusted Cox models, conventional cardiovascular disease risk factors, such as smoking (diabetes: HR 2.07 [1.59–2.69]; non-diabetes: HR 1.85 [1.68–2.02]), BMI (diabetes: HR 1.30 [1.18–1.42]; non-diabetes: HR 1.40 [1.35–1.47]), baseline myocardial infarction (diabetes: HR 2.06 [1.55–2.75]; non-diabetes: HR 2.86 [2.50–3.28]), and baseline atrial fibrillation (diabetes: HR 1.51 [0.82–2.80]; non-diabetes: HR 2.97 [2.21–4.00]) had the strongest associations with incident heart failure. In addition, biomarkers for cardiac strain (represented by nT-proBNP, diabetes: HR 1.26 [1.19–1.34]; non-diabetes: HR 1.43 [1.39–1.47]), myocardial injury (hs-TnI, diabetes: HR 1.10 [1.04–1.16]; non-diabetes: HR 1.13 [1.10–1.16]), and inflammation (hs-CRP, diabetes: HR 1.13 [1.03–1.24]; non-diabetes: HR 1.29 [1.25–1.34]) were also associated with incident heart failure. In general, all these associations were equally strong in non-diabetic and diabetic individuals. However, the strongest mediators of heart failure in diabetes were the direct effect of diabetes status itself (relative effect share 43.1% [33.9–52.3] and indirect effects (effect share 56.9% [47.7-66.1]) mediated by obesity (BMI, 13.2% [10.3–16.2]), cardiac strain/volume overload (nT-proBNP, 8.4% [-0.7–17.4]), and hyperglycemia (glucose, 12.0% [4.2–19.9]). Conclusions The findings suggest that the main mediators of heart failure in diabetes are obesity, hyperglycemia, and cardiac strain/volume overload. Conventional cardiovascular risk factors are strongly related to incident heart failure, but these associations are not stronger in diabetic than in non-diabetic individuals. Active measurement of relevant biomarkers could potentially be used to improve prevention and prediction of heart failure in high-risk diabetic patients.


2020 ◽  
Vol 25 (1) ◽  
pp. 14-18
Author(s):  
A. S. Galyavich ◽  
I. M. Mingalimova ◽  
Z. M. Galeeva ◽  
L. V. Baleeva

Aim. Comparative assessment of laboratory and instrumental parameters of patients with heart failure (HF) after myocardial infarction at admission and discharge from the hospital to determine the long-term mortality risk.Material and methods. The clinical outcomes of 117 patients with stage II-III  (Strazhesko-Vasilenko Classification) heart failure (64 men and 53 women) were studied. All patients admitted to the hospital underwent laboratory and instrumental examination. The average follow-up for patients after discharge from the hospital was 3 years (12 to 44 months). The long-term mortality risks of HF patients were compared according to the examination data upon admission and discharge from the hospital.Results. The long-term mortality risk factors of HF patients at admission are the levels of pro-brain natriuretic peptide (proBNP) (risk 1,08, p=0,001), D-dimer (risk 1,062, p=0,018), urea (risk 1,048, p=0,016), creatinine (risk 1,006, p=0,016), alanine transaminase (risk 1,002, p=0,009). The long-term mortality risk factors of HF patients at discharge are urea (risk 1,141, p=0,001), N-terminal proBNP (risk 1,101, p=0,002), and the number of neutrophils (risk 1,064, p=0,002).Conclusion. There is a difference in risk factors for long-term mortality risk of HF patients at admission and discharge from the hospital.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
I Cardoso ◽  
M Coutinho ◽  
G Portugal ◽  
A Valentim ◽  
A.S Delgado ◽  
...  

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


2021 ◽  
Vol 77 (18) ◽  
pp. 3380
Author(s):  
Nestor Vasquez ◽  
Ayana April-Sanders ◽  
Katrina Swett ◽  
Jorge Kizer ◽  
Bharat Thyagarajan ◽  
...  

2021 ◽  
pp. 1-8
Author(s):  
Huiyang Li ◽  
Peng Zhou ◽  
Yikai Zhao ◽  
Huaichun Ni ◽  
Xinping Luo ◽  
...  

Abstract Objective: The aim of this meta-analysis was to investigate the association between malnutrition assessed by the controlling nutritional status (CONUT) score and all-cause mortality in patients with heart failure. Design: Systematic review and meta-analysis. Settings: A comprehensively literature search of PubMed and Embase databases was performed until 30 November 2020. Studies reporting the utility of CONUT score in prediction of all-cause mortality among patients with heart failure were eligible. Patients with a CONUT score ≥2 are grouped as malnourished. Predictive values of the CONUT score were summarized by pooling the multivariable-adjusted risk ratios (RR) with 95 % CI for the malnourished v. normal nutritional status or per point CONUT score increase. Participants: Ten studies involving 5196 patients with heart failure. Results: Malnourished patients with heart failure conferred a higher risk of all-cause mortality (RR 1·92; 95 % CI 1·58, 2·34) compared with the normal nutritional status. Subgroup analysis showed the malnourished patients with heart failure had an increased risk of in-hospital mortality (RR 1·78; 95 % CI 1·29, 2·46) and follow-up mortality (RR 2·01; 95 % CI 1·58, 2·57). Moreover, per point increase in CONUT score significantly increased 16% risk of all-cause mortality during the follow-up. Conclusions: Malnutrition defined by the CONUT score is an independent predictor of all-cause mortality in patients with heart failure. Assessment of nutritional status using CONUT score would be helpful for improving risk stratification of heart failure.


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