Results 271 to 280 of about 4,697,552 (378)

Imaging Predictors of Left Ventricular Functional Recovery after Reperfusion Therapy of ST-Elevation Myocardial Infarction Assessed by Cardiac Magnetic Resonance. [PDF]

open access: yesJ Cardiovasc Dev Dis, 2023
Virbickiene A   +17 more
europepmc   +1 more source

Coagulation disorders after reperfusion of pancreatic allografts [PDF]

open access: yes, 1993
Blumenstock, I.   +5 more
core   +1 more source

Do baseline c-reactive protein levels predict myocardial salvage after reperfusion therapy in patients with acute myocardial infarction?

open access: bronze, 2003
Alban Dibra   +6 more
openalex   +1 more source

Survival after myocardial infarction according to left ventricular function and heart failure symptoms

open access: yesESC Heart Failure, EarlyView.
Asymptomatic reduced left ventricular ejection fraction (LVEF) in the acute phase of myocardial infarction (AMI) was associated with up to 20% 1‐year mortality after discharge, substantially higher than in recent post‐MI trials. Symptoms of heart failure (HF) during the index hospitalization was associated with worse outcomes in patients with preserved
Jarle Jortveit   +3 more
wiley   +1 more source

CAQ Corner: Immune‐mediated complications

open access: yes, 2022
Liver Transplantation, EarlyView.
Mary Thomson, John R. Lake
wiley   +1 more source

Effect of smoking status on clinical outcomes after reperfusion therapy for acute ischemic stroke. [PDF]

open access: yesSci Rep
Irie F   +7 more
europepmc   +1 more source

Elucidating the Role of Baseline Leukoaraiosis on Forecasting Clinical Outcome of Acute Ischemic Stroke Patients Undergoing Reperfusion Therapy. [PDF]

open access: yesNeurol Int, 2022
Karatzetzou S   +11 more
europepmc   +1 more source

Current and novel biomarkers in cardiogenic shock

open access: yesEuropean Journal of Heart Failure, EarlyView.
A summary of current and novel biomarkers and their potential stages of release in cardiogenic shock. The diagram illustrates the proposed release of the biomarkers during the different stages of cardiogenic shock: progression from cardiac dysfunction/stress, through to inflammation and end‐organ dysfunction.
Victor Galusko   +5 more
wiley   +1 more source

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

open access: yesEuropean Journal of Heart Failure, EarlyView.
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

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