... Abstract Graphical Abstract heart failure prognosis machine learning risk stratification decision making ACCEPTED MANUSCRIPT 1 Title Page 2 Development and External Validation of a Prediction Model for Prolonged 3 ICU Stay in Heart Failure Patients 4 Short title Predictive Model for Prolonged ICU...

.... Methods and results From May 2022 to December 2023, consecutive patients with cardiovascular diseases were enrolled at a tertiary centre into a 3 month cbCR or hCTR programme based on shared decision-making. Changes in exercise capacity, anxiety, depression, and health-related quality of life (hrQoL...

... their current implementation, from prevention to treatment. Specifically, we aimed to assess their role in clinical decision-making, patient education, risk prediction, lifestyle interventions, adherence to preventive measures, and treatment recommendations. This review followed the Preferred Reporting Items...

... Abstract Graphical Abstract Cardiovascular disease Decision making Early intervention Medication adherence Prevention Screening Health Research Fund of Central Denmark Region 10.13039/501100010983 VIA University College, Denmark Cross-sectoral Pathways with Interdisciplinary...

...Dirk Leysen; Eva Propst; Hannah McGowan; Franziska Pfannerstill; Rik Crutzen; Stefan Tino Kulnik Graphical Abstract Graphical Abstract Behaviour change cardiovascular diseases decision aids digital health dHealth mHealth mobile health shared decision-making scoping review ACCEPTED...

... stroke prevention or OAC-associated bleeding risk, participants’ main concern was the desire to regain their QoL post-ICH. Thus, much of participants’ decision-making refers to more general factors such as attitude to preventative medication and the support of family members, which are inherently...

...Ritin Santiago Fernandez; Amir Masoud Sharifnia; Hanan Khalil Umbrella reviews enhance research efficiency, support evidence-based practice, and facilitate informed decision-making in clinical practice and policy formulation. ¹⁵ By synthesizing vast amounts of research, they help...

... Photoplethysmography Qualitative Shared decision making Smartphone application After analysis of 14 semi-structured interviews, five main themes were defined in consensus, i.e. smartphone application usability, requirements for eHealth implementation, remote self-assessment, patient engagement and active...

.... Chronic disease Decision-making Measurement Reflection Self-care Theory Highlights Acknowledging self-care as an essential component of health care will lead to a more person-centred, resilient, and sustainable system of health care. Self-care theories can be used to guide practice...

... patient preference. In this context, engaging patients in a shared decision-making (SDM) process becomes essential, but this practice is generally underused. Methods and results To comply with the European and UK national guidelines, in January 2023 we established a structured SDM pathway in which...

... Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract Aims Patient engagement in decision-making could improve healthcare quality and health outcome, which has been emphasized in atrial fibrillation (AF) management guidelines. However, patients report...

... decision-making Stable angina Vasospasm 1. Preamble  3422 2. Introduction  3423  2.1. Evolving pathophysiological concepts of chronic coronary syndromes  3423  2.2. Chronic coronary syndromes: clinical presentations (Figure 1)  3424  2.3. Changing epidemiology and management strategies  3424...

... Decision-making Male–female differences Gender ZonMW 10.13039/501100001826 See the editorial comment for this article ‘Thoracic aortic disease: why sex matters’, by J. Dumfarth et al., https://doi.org/10.1093/eurheartj/ehae713 . Ascending aortic aneurysms (AscAAs) are known as ‘silent killers...

... of treatment. This subgroup analysis assessed the utility of longitudinal serial cardiac magnetic resonance (CMR) imaging for tracking clinical improvement and predicting post-treatment cessation outcomes to help guide clinical decision-making. Methods and results At an 18-month decision milestone (18MDM...

... identifying risk factors for adverse outcomes in MS is of utmost importance for informed clinical decision-making, particularly considering the availability of various interventional procedures. In our study, we employed the decision tree method to assess the predictors of adverse events. This method allows...

... pulmonary embolism in the overall population and clinically relevant patient subgroups. (NT-pro)BNP, (N-terminal pro–)B-type natriuretic peptide; PE, pulmonary embolism; VTE, venous thromboembolism. Pulmonary embolism Emergency care Outpatient care Clinical decision-making Early discharge See...

...-guided, iterative phenomapping approaches that can map individualized patient profiles to original clinical trial data, thus projecting estimates of individualized efficacy, safety, and representation, may be used to inform therapeutic-decision making, particularly where comparative effectiveness or best...

... and guiding clinical decision-making. Informed consent was obtained from the parents of all recruited patients, and institutional ethical committee approval was also obtained. The research was awarded a grant from the Research Grant pathway of the Block Funding Programme (2020) by the Ministry of Higher...

... further show that ASSIST-alignment is associated with greater diagnostic yield for CAD or LM/pLAD disease. These findings provide a paradigm on how to evaluate clinical care pathways using inference drawn from high-quality RCTs, and an insight into how data-driven decision-making might supplement...