Results 271 to 280 of about 769,897 (367)

Treatment options for immune‐related adverse events associated with immune checkpoint inhibitors

open access: yesBritish Journal of Pharmacology, EarlyView.
Abstract The immunotherapy revolution with the use of immune checkpoint inhibitors (ICIs) started with the clinical use of the first ICI, ipilimumab, in 2011. Since then, the field of ICI therapy has rapidly expanded — with the FDA approval of 10 different ICI drugs so far and their incorporation into the therapeutic regimens of a range of malignancies.
Yu Hua Chen   +3 more
wiley   +1 more source

Ventricular tachycardia: Reply

open access: yesThe Journal of Thoracic and Cardiovascular Surgery, 1974
Ravindra Prabhu   +2 more
openaire   +3 more sources

Sodium‐glucose cotransporter 2 inhibitors and outcomes in transthyretin amyloid cardiomyopathy: Systematic review and meta‐analysis

open access: yesEuropean Journal of Clinical Investigation, EarlyView.
Patients with transthyretin amyloid cardiomyopathy (ATTR‐CM) were excluded from randomized clinical trials (RCTs) evaluating sodium‐glucose cotransporter 2 inhibitors (SGLT2i); as a result, the effects of these agents on this population remain underexplored.
Paschalis Karakasis   +7 more
wiley   +1 more source

Ketamine Terminating Persistent Ventricular Tachycardia. [PDF]

open access: yesJACC Case Rep
Fahhoum R   +4 more
europepmc   +1 more source

Ventricular tachycardia: Focal pulsed field electroporation as a rescue therapy. [PDF]

open access: yesHeart Rhythm O2
Santos RR   +5 more
europepmc   +1 more source

CLLAF SCORE—A New Risk Score for Predicting Atrial Fibrillation in Treatment‐Naive CLL Patients Initiating First‐ and Second‐Generation BTK Inhibitor Therapy

open access: yesEuropean Journal of Haematology, EarlyView.
ABSTRACT Background One of the limiting toxicities of BTKi is the development of atrial fibrillation (AF), with an incidence of 3%–16%. Aim This study aimed to identify patients with chronic lymphocytic leukemia (CLL) starting both first‐ and second‐generation BTKis who are at high risk of developing AF using a machine learning approach.
Tamar Tadmor   +3 more
wiley   +1 more source

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