Early NT-proBNP and MR-proANP associated with QoL 1 year after acutely decompensated heart failure: secondary analysis from the MOLITOR trial

2019 ◽  
Vol 13 (17) ◽  
pp. 1493-1507 ◽  
Author(s):  
Christine Zelenak ◽  
Mira-Lynn Chavanon ◽  
Elvis Tahirovic ◽  
Tobias Daniel Trippel ◽  
Verena Tscholl ◽  
...  

Aim: Heart failure negatively impacts quality of life (QoL), which in turn contributes to an adverse long-term prognosis. We aimed at identifying biomarker trajectories after an episode of acutely decompensated heart failure (ADHF) that differ between patients showing average versus impaired QoL 1 year later, thus allowing to predict impaired QoL. Methods: Biomarkers were repeatedly measured throughout the year in 104 ADHF patients. QoL was assessed at discharge and 1 year after ADHF. Logistic regression and receiver operating characteristic analyses were used to identify predictors of impaired QoL while controlling psychosocial confounders. Results: MR-proANP predicted impaired physical and mental QoL. NT-proBNP measurements were important predictors for poor physical QoL. Conclusion: MR-proANP and NT-proBNP predict poor QoL after an epidode of ADHF. The trial is registered at http://clinicaltrials.gov as MOLITOR (IMpact of therapy optimisation On the Level of biomarkers in paTients with Acute and Decompensated ChrOnic HeaRt Failure) with unique identifier: NCT01501981.

2020 ◽  
Vol 15 (4) ◽  
pp. 719-724
Author(s):  
E. Ceriani ◽  
G. Casazza ◽  
J. Peta ◽  
D. Torzillo ◽  
S. Furlotti ◽  
...  

2006 ◽  
Vol 23 (3) ◽  
pp. 377-385 ◽  
Author(s):  
C. CANAVAN ◽  
K. R. ABRAMS ◽  
B. HAWTHORNE ◽  
D. DROSSMAN ◽  
J. F. MAYBERRY

Author(s):  
Arjola Bano ◽  
Nicolas Rodondi ◽  
Jürg H. Beer ◽  
Giorgio Moschovitis ◽  
Richard Kobza ◽  
...  

Background Diabetes is a major risk factor for atrial fibrillation (AF). However, it remains unclear whether individual AF phenotype and related comorbidities differ between patients who have AF with and without diabetes. This study investigated the association of diabetes with AF phenotype and cardiac and neurological comorbidities in patients with documented AF. Methods and Results Participants in the multicenter Swiss‐AF (Swiss Atrial Fibrillation) study with data on diabetes and AF phenotype were eligible. Primary outcomes were parameters of AF phenotype, including AF type, AF symptoms, and quality of life (assessed by the European Quality of Life‐5 Dimensions Questionnaire [EQ‐5D]). Secondary outcomes were cardiac (ie, history of hypertension, myocardial infarction, and heart failure) and neurological (ie, history of stroke and cognitive impairment) comorbidities. The cross‐sectional association of diabetes with these outcomes was assessed using logistic and linear regression, adjusted for age, sex, and cardiovascular risk factors. We included 2411 patients with AF (27.4% women; median age, 73.6 years). Diabetes was not associated with nonparoxysmal AF (odds ratio [OR], 1.01; 95% CI, 0.81–1.27). Patients with diabetes less often perceived AF symptoms (OR, 0.74; 95% CI, 0.59–0.92) but had worse quality of life (β=−4.54; 95% CI, −6.40 to −2.68) than those without diabetes. Patients with diabetes were more likely to have cardiac (hypertension [OR, 3.04; 95% CI, 2.19–4.22], myocardial infarction [OR, 1.55; 95% CI, 1.18–2.03], heart failure [OR, 1.99; 95% CI, 1.57–2.51]) and neurological (stroke [OR, 1.39, 95% CI, 1.03–1.87], cognitive impairment [OR, 1.75, 95% CI, 1.39–2.21]) comorbidities. Conclusions Patients who have AF with diabetes less often perceive AF symptoms but have worse quality of life and more cardiac and neurological comorbidities than those without diabetes. This raises the question of whether patients with diabetes should be systematically screened for silent AF. Registration URL: https://www.clinicaltrials.gov ; Unique Identifier: NCT02105844.


2014 ◽  
Vol 3 ◽  
pp. 204800401454873 ◽  
Author(s):  
Jenny Berg ◽  
Peter Lindgren ◽  
Thomas Kahan ◽  
Owe Schill ◽  
Hans Persson ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Peisen Huang ◽  
Yuan Yu ◽  
Fangfei Wei ◽  
Wengen Zhu ◽  
Ruicong Xue ◽  
...  

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