Validation of the Hemodynamic Classification System for Hemodynamic-Related Events in Patients With Durable Left Ventricular Assist Devices. [PDF]
Gallone G +22 more
europepmc +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 1514-1522, April 2025.
Takamasa Iwai +4 more
wiley +1 more source
The core competencies in hospital medicine: Procedures 2025 update
Abstract This article presents an updated framework from the Society of Hospital Medicine for individual learning objectives related to key procedures in hospital medicine. Building upon the 2017 framework, these objectives have been revised to reflect evolving clinical evidence, advancements, and shifts in hospital medicine practice patterns.
Satyen Nichani +8 more
wiley +1 more source
2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias [PDF]
Cuculich, Phillip, et al,
core +1 more source
Abstract Background and Objectives Children with medical complexity (CMC) have chronic health conditions often associated with functional limitations. CMC comprise 1%–5% of the pediatric population. In Canada, their care accounts for one‐third of pediatric health spending.
Erin Hessey +25 more
wiley +1 more source
orthopedic surgical procedures in patients supported with long-term implantable left ventricular assist devices. [PDF]
Qian L +6 more
europepmc +1 more source
Current state of neurodevelopmental and psychosocial care practices for paediatric patients with ventricular assist devices: an Advanced Cardiac Therapies Improving Outcomes Network and Cardiac Neurodevelopmental Outcome Collaborative collaborative survey [PDF]
Catherine R. Dusing +14 more
openalex +1 more source
Abstract Background Left atrial enlargement (LAE) is predictive of cardiovascular morbidity and mortality. Prior studies of point‐of‐care ultrasound (POCUS) interpretation methods for identifying LAE utilized older echocardiographic reference ranges. Objectives Compare the test characteristics of hospitalist‐performed POCUS techniques for identifying ...
Christopher J. Smith +7 more
wiley +1 more source
Predicting Sepsis in Heart Failure Patients Supported by Left Ventricular Assist Devices: The Role of VE-Cadherin and ADAM10. [PDF]
Li S +12 more
europepmc +1 more source
Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He +11 more
wiley +1 more source

