scholarly journals Imaging as a basis of clinical decision-making in congenital and coronary disease and heart failure

2016 ◽  
Vol 37 (15) ◽  
pp. 1171-1173
Author(s):  
Thomas F. Lüscher
Keyword(s):  
Heart Failure ◽  
Decision Making ◽  
Coronary Disease ◽  
Clinical Decision Making ◽  
Clinical Decision

Contemporary Heart Failure Treatment Based on Improved Knowledge and Personalized Care of Comorbidities

2019 ◽  
pp. 1565-1579
Author(s):  
Kostas Giokas ◽  
Charalampos Tsirmpas ◽  
Athanasios Anastasiou ◽  
Dimitra Iliopoulou ◽  
Vassilia Costarides ◽  
...  
Keyword(s):  
Heart Failure ◽  
Decision Making ◽  
Chronic Diseases ◽  
Clinical Decision Making ◽  
Medical Condition ◽  
Collective Intelligence ◽  
Clinical Decision ◽  
Mortality And Morbidity ◽  
Personalized Care ◽  
Care Approach

Chronic diseases are the leading cause of mortality and morbidity. A significant contribution to the burden of chronic diseases is the concurrence of co-morbidities. Heart failure (HF) is a complex, chronic medical condition frequently associated with co-morbidities. The current care approach for HF patients with co-morbidities is neither capable to deliver personalised care nor to halt the on-going increase of its socio-economic burden. Our approach aims to improve the complete care process for HF patients and related co-morbidities to improve outcome and quality of life. This will be achieved by the proposed standardised yet personalised patient-oriented ICT system that supports evidence-based clinical decision making as well as interaction and communication between all stakeholders with focus on the patients and their relatives to improve self-management. We propose that such a system should be build upon a novel European-wide data standard for clinical input and outcome and that it should facilitate decision making and outcome tracking by new collective intelligence algorithms.

scholarly journals Clinical decision-making at the end of life: a mixed-methods study

2018 ◽  
Vol 10 (3) ◽  
pp. e26-e26 ◽  
Author(s):  
Paul Taylor ◽  
Miriam J Johnson ◽  
Dawn Wendy Dowding
Keyword(s):  
Heart Failure ◽  
Decision Making ◽  
Mixed Methods ◽  
End Of Life ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Study Groups ◽  
Mixed Methods Study ◽  
Semistructured Interview ◽  
The North

ObjectivesTo improve the ability of clinical staff to recognise end of life in hospital inpatients dying as a result of cancer and heart failure, and to generate new hypotheses for further research.MethodsThis mixed-methods study used decision theory as a theoretical basis. It involved a parallel databases-convergent design, incorporating findings from previously published research, with equal priority to study groups and synthesis by triangulation. The individual arms were (1) a retrospective cohort study of 102 patients with cancer and 81 patients with heart failure in an acute trust in the North of England, and(2) a semistructured interview study of 19 healthcare professionals caring for the same patient groups.ResultsThe synthesis of findings demonstrated areas of agreement, partial agreement, silence and dissonance when comparing the cohort findings with the interview findings. Trajectories of change are identified as associated with poor prognosis in both approaches, but based on different parameters. Management of patients has a significant impact on decision-making. The decision process requires repeated, iterative assessments and may benefit from a multidisciplinary approach. Uncertainty is a defining characteristic of the overall process, and objective parameters only have a limited role in predicting end of life.ConclusionsThe role of uncertainty is important as a trigger for discussions and a defined stage in a patient’s illness journey. This is consistent with current approaches to recognising irreversible deterioration in those with serious illness. This study contributes ongoing evidence that these concepts are vital for decision-making.

Contemporary Heart Failure Treatment Based on Improved Knowledge and Personalized Care of Comorbidities

2016 ◽  
pp. 301-314 ◽  
Author(s):  
Kostas Giokas ◽  
Charalampos Tsirmpas ◽  
Athanasios Anastasiou ◽  
Dimitra Iliopoulou ◽  
Vassilia Costarides ◽  
...  
Keyword(s):  
Heart Failure ◽  
Decision Making ◽  
Chronic Diseases ◽  
Clinical Decision Making ◽  
Medical Condition ◽  
Collective Intelligence ◽  
Clinical Decision ◽  
Mortality And Morbidity ◽  
Personalized Care ◽  
Care Approach

Chronic diseases are the leading cause of mortality and morbidity. A significant contribution to the burden of chronic diseases is the concurrence of co-morbidities. Heart failure (HF) is a complex, chronic medical condition frequently associated with co-morbidities. The current care approach for HF patients with co-morbidities is neither capable to deliver personalised care nor to halt the on-going increase of its socio-economic burden. Our approach aims to improve the complete care process for HF patients and related co-morbidities to improve outcome and quality of life. This will be achieved by the proposed standardised yet personalised patient-oriented ICT system that supports evidence-based clinical decision making as well as interaction and communication between all stakeholders with focus on the patients and their relatives to improve self-management. We propose that such a system should be build upon a novel European-wide data standard for clinical input and outcome and that it should facilitate decision making and outcome tracking by new collective intelligence algorithms.

scholarly journals IMPACT OF CMR ON MANAGEMENT AND CLINICAL DECISION-MAKING IN HEART FAILURE PATIENTS

2013 ◽  
Vol 61 (10) ◽  
pp. E826 ◽  
Author(s):  
Siddique Abbasi ◽  
Andrew Ertel ◽  
Ravi Shah ◽  
Tomas Neilan ◽  
Bobby Heydari ◽  
...  
Keyword(s):  
Heart Failure ◽  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Heart Failure Patients

Omics phenotyping in heart failure: the next frontier

2020 ◽  
Vol 41 (36) ◽  
pp. 3477-3484 ◽  
Author(s):  
Antoni Bayes-Genis ◽  
Peter P Liu ◽  
David E Lanfear ◽  
Rudolf A de Boer ◽  
Arantxa González ◽  
...  
Keyword(s):  
Heart Failure ◽  
Decision Making ◽  
Clinical Decision Making ◽  
State Of The Art ◽  
Therapeutic Targets ◽  
Clinical Decision ◽  
Omics Technologies ◽  
Disease Mechanisms ◽  
Comprehensive Picture ◽  
Disease Pathways

Abstract This state-of-the-art review aims to provide an up-to-date look at breakthrough omic technologies that are helping to unravel heart failure (HF) disease mechanisms and heterogeneity. Genomics, transcriptomics, proteomics, and metabolomics in HF are reviewed in depth. In addition, there is a thorough, expert discussion regarding the value of omics in identifying novel disease pathways, advancing understanding of disease mechanisms, differentiating HF phenotypes, yielding biomarkers for diagnosis or prognosis, or identifying new therapeutic targets in HF. The combination of multiple omics technologies may create a more comprehensive picture of the factors and physiology involved in HF than achieved by either one alone and provides a rich resource for predictive phenotype modelling. However, the successful translation of omics tools as solutions to clinical HF requires that the observations are robust and reproducible and can be validated across multiple independent populations to ensure confidence in clinical decision-making.

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