scholarly journals Evaluation of the impact of atrial fibrillation on rehospitalization events in heart failure patients in recent years

2012 ◽  
Vol 60 (1) ◽  
pp. 36-41 ◽  
Author(s):  
Masami Murakami ◽  
Shinichi Niwano ◽  
Toshimi Koitabashi ◽  
Takayuki Inomata ◽  
Akira Satoh ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Heart Failure Patients ◽  
The Impact

scholarly journals Corrigendum to “Evaluation of the impact of atrial fibrillation on rehospitalization events in heart failure patients in recent years” [J. Cardiol. 60 (2012) 36–41]

2013 ◽  
Vol 61 (1) ◽  
pp. 97
Author(s):  
Masami Murakami ◽  
Shinichi Niwano ◽  
Toshimi Koitabashi ◽  
Takayuki Inomata ◽  
Akira Satoh ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Heart Failure Patients ◽  
The Impact

Artificial Intelligence as a Business Partner in Cardiovascular Precision Medicine: an Emerging Approach for Disease Detection and Treatment Optimization

2020 ◽  
Vol 28 ◽  
Author(s):  
Valeria Visco ◽  
Germano Junior Ferruzzi ◽  
Federico Nicastro ◽  
Nicola Virtuoso ◽  
Albino Carrizzo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Heart Failure ◽  
Atrial Fibrillation ◽  
Precision Medicine ◽  
Clinical Decision Making ◽  
Disease Detection ◽  
Physician Patient Relationship ◽  
Invasive Approach ◽  
Tailored Treatment ◽  
The Impact

Background: In the real world, medical practice is changing hand in hand with the development of new Artificial Intelligence (AI) systems and problems from different areas have been successfully solved using AI algorithms. Specifically, the use of AI techniques in setting up or building precision medicine is significant in terms of the accuracy of disease discovery and tailored treatment. Moreover, with the use of technology, clinical personnel can deliver a very much efficient healthcare service. Objective: This article reviews AI state-of-the-art in cardiovascular disease management, focusing on diagnostic and therapeutic improvements. Methods: To that end, we conducted a detailed PubMed search on AI application from distinct areas of cardiology: heart failure, arterial hypertension, atrial fibrillation, syncope and cardiovascular rehabilitation. Particularly, to assess the impact of these technologies in clinical decision-making, this research considers technical and medical aspects. Results: On one hand, some devices in heart failure, atrial fibrillation and cardiac rehabilitation represent an inexpensive, not invasive or not very invasive approach to long-term surveillance and management in these areas. On the other hand, the availability of large datasets (big data) is a useful tool to predict the development and outcome of many cardiovascular diseases. In summary, with this new guided therapy, the physician can supply prompt, individualised, and tailored treatment and the patients feel safe as they are continuously monitored, with a significant psychological effect. Conclusion: Soon, tailored patient care via telemonitoring can improve the clinical practice because AI-based systems support cardiologists in daily medical activities, improving disease detection and treatment. However, the physician-patient relationship remains a pivotal step.

Atrial fibrillation and congestive heart failure: what is the impact of long-term anticoagulation on outcomes

2004 ◽  
Vol 10 (4) ◽  
pp. S110
Author(s):  
Lynn G. Tarkington ◽  
Salvatore L. Battaglia ◽  
April W. Simon ◽  
Steven D. Culler ◽  
Edmund R. Becker ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Congestive Heart Failure ◽  
The Impact

scholarly journals Serelaxin in acute heart failure patients with and without atrial fibrillation: a secondary analysis of the RELAX-AHF trial

2017 ◽  
Vol 106 (6) ◽  
pp. 444-456 ◽  
Author(s):  
Gerasimos Filippatos ◽  
Dimitrios Farmakis ◽  
Marco Metra ◽  
Gad Cotter ◽  
Beth A. Davison ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Acute Heart Failure ◽  
Secondary Analysis ◽  
Heart Failure Patients

scholarly journals PROGNOSTIC ROLE OF ATRIAL FIBRILLATION AND HEART RATE CONTROL IN CHRONIC HEART FAILURE PATIENTS

2013 ◽  
Vol 61 (10) ◽  
pp. E735
Author(s):  
Savina Nodari ◽  
Marco Triggiani ◽  
Laura Lupi ◽  
Alessandra Manerba ◽  
Giuseppe Milesi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Heart Rate ◽  
Chronic Heart Failure ◽  
Rate Control ◽  
Heart Rate Control ◽  
Prognostic Role ◽  
Heart Failure Patients

scholarly journals Cardiovascular risk after hospitalisation for unexplained syncope and orthostatic hypotension

Heart ◽  
2017 ◽  
Vol 104 (6) ◽  
pp. 487-493 ◽  
Author(s):  
Ekrem Yasa ◽  
Fabrizio Ricci ◽  
Martin Magnusson ◽  
Richard Sutton ◽  
Sabina Gallina ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Cardiovascular Disease ◽  
Orthostatic Hypotension ◽  
Cardiovascular Events ◽  
Hospital Admissions ◽  
Cox Regression ◽  
All Cause Mortality ◽  
Unexplained Syncope ◽  
The Impact

ObjectiveTo investigate the relationship of hospital admissions due to unexplained syncope and orthostatic hypotension (OH) with subsequent cardiovascular events and mortality.MethodsWe analysed a population-based prospective cohort of 30 528 middle-aged individuals (age 58±8 years; males, 40%). Adjusted Cox regression models were applied to assess the impact of unexplained syncope/OH hospitalisations on cardiovascular events and mortality, excluding subjects with prevalent cardiovascular disease.ResultsAfter a median follow-up of 15±4 years, 524 (1.7%) and 504 (1.7%) participants were hospitalised for syncope or OH, respectively, yielding 1.2 hospital admissions per 1000 person-years for each diagnosis. Syncope hospitalisations increased with age (HR, per 1 year: 1.07, 95% CI 1.05 to 1.09), higher systolic blood pressure (HR, per 10 mm Hg: 1.06, 95% CI 1.01 to 1.12), antihypertensive treatment (HR: 1.26, 95% CI 1.00 to 1.59), use of diuretics (HR: 1.77, 95% CI 1.31 to 2.38) and prevalent cardiovascular disease (HR: 1.59, 95% CI 1.14 to 2.23), whereas OH hospitalisations increased with age (HR: 1.11, 95% CI 1.08 to 1.12) and prevalent diabetes (HR: 1.82, 95% CI 1.23 to 2.70). After exclusion of 1399 patients with prevalent cardiovascular disease, a total of 473/464 patients were hospitalised for unexplained syncope/OH before any cardiovascular event. Hospitalisation for unexplained syncope predicted coronary events (HR: 1.85, 95% CI 1.49 to 2.30), heart failure (HR: 2.24, 95% CI 1.65 to 3.04), atrial fibrillation (HR: 1.84, 95% CI 1.50 to 2.26), aortic valve stenosis (HR: 2.06, 95% CI 1.28 to 3.32), all-cause mortality (HR: 1.22, 95% CI 1.09 to 1.37) and cardiovascular death (HR: 1.72, 95% CI 1.23 to 2.42). OH-hospitalisation predicted stroke (HR: 1.66, 95% CI 1.24 to 2.23), heart failure (HR: 1.78, 95% CI 1.21 to 2.62), atrial fibrillation (HR: 1.89, 95% CI 1.48 to 2.41) and all-cause mortality (HR: 1.14, 95% CI 1.01 to 1.30).ConclusionsPatients discharged with the diagnosis of unexplained syncope or OH show higher incidence of cardiovascular disease and mortality with only partial overlap between these two conditions.

Sign in / Sign up

Export Citation Format

Share Document