Results 271 to 280 of about 713,550 (341)
The Association Between Periodontal Disease and Acute Coronary Syndrome-A Clinical Analysis. [PDF]
Rus M+8 more
europepmc +1 more source
Analysis of the usage of the HFA‐PEFF score‐based clinical decision support system (CDSS) and the main barriers and facilitators to its implementation, based on a survey of physicians. Abstract Background and aims Knowing that heart failure (HF) with preserved ejection fraction (HFpEF) can be difficult to diagnose, a clinical decision support system ...
Isidora Milosavljević+29 more
wiley +1 more source
Impact of Rheumatoid Arthritis and Traditional Risk Factors on Outcomes in Acute Coronary Syndrome. [PDF]
Javeed M+4 more
europepmc +1 more source
An unusual presentation of pheochromocytoma accompanied by catecholamine‐induced cardiomyopathy
ESC Heart Failure, EarlyView.
Hugh O.J. Roberts+2 more
wiley +1 more source
Abstract Aims There is growing recognition of the burden and prognostic significance of WHF treated in the outpatient setting. However, there is currently a lack of prospective real‐world data in this area of HF care. This study aims to analyse the natural history of outpatient WHF.
Joseph McCambridge+6 more
wiley +1 more source
This systematic review identified 24 clinical trials of medical device and surgical interventions for HFpEF, with 16 demonstrating at least safety and feasibility, but little evidence of long‐term benefit. Phenotype‐based responses suggest that certain interventions may benefit specific HFpEF subgroups, yet most trials suffered from heterogeneous ...
Kurdo Araz+5 more
wiley +1 more source
Abstract Aims Heart–lung transplantation (HLTx) remains a life‐saving intervention for patients with end‐stage cardiopulmonary failure. We retrospectively analysed long‐term HLTx outcomes at our centre to assess survival trends and evaluate the impact of evolving immunosuppressive, surgical and perioperative strategies.
L. Lily Rosenthal+10 more
wiley +1 more source
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo+11 more
wiley +1 more source