Results 171 to 180 of about 27,407 (265)
SGLT2 inhibitor role in cardio-metabolic-renal diseases: a narrative review of recent evidence and their pharmacological, clinical and economic implications. [PDF]
Manunta M +4 more
europepmc +1 more source
ABSTRACT Objective To examine the effect of second‐line treatments (insulin secretagogues, thiazolidinediones, glucagon‐like peptide‐1 (GLP‐1) receptor agonists, dipeptidyl peptidase‐4 (DPP‐4) inhibitors or sodium‐glucose co‐transporter 2 (SGLT‐2) inhibitors) on time to insulin initiation among patients with type 2 diabetes.
Ya‐Hui Yu +6 more
wiley +1 more source
Multi-Chamber Reverse Remodeling and Hemodynamic Force Realignment After SGLT2 Inhibitor Initiation in Real-World Heart Failure. [PDF]
Prosperi S +12 more
europepmc +1 more source
ABSTRACT Aims Animal models of prediabetes (Pre‐DM) are essential for studying metabolic disease and testing therapies, yet high‐fat diet (HFD) and HFD‐plus‐streptozotocin (STZ) protocols vary in feeding duration, STZ dose, and diagnostic criteria and rarely account for sex.
Min Xu +7 more
wiley +1 more source
Fatal Hypoglycemia in a Nondiabetic Patient With End-Stage Familial Hypertrophic Cardiomyopathy on SGLT2 Inhibitor Therapy. [PDF]
Li Y, Zhong L.
europepmc +1 more source
ABSTRACT Aims The association between glucagon‐like peptide‐1 receptor agonist (GLP‐1RA) use and the development of bowel obstruction/ileus remains unclear, and evidence for specific bowel obstruction/ileus subtypes remains limited. We examined the association between GLP‐1RA use and the incidence of bowel obstruction/ileus subtypes across different ...
Yuichiro Matsuo +3 more
wiley +1 more source
SGLT2 Inhibitor Dapagliflozin Attenuates Cardiomyocyte Injury and Inflammation Induced by PI3Kα-Selective Inhibitor Alpelisib and Fulvestrant Under Hyperglycemia. [PDF]
Quagliariello V +17 more
europepmc +1 more source
The ‘Slow Burn’ Phenotype: How Relative Caloric Intake Reveals Hidden Cardiovascular Risk Beyond BMI
ABSTRACT Objective Body mass index (BMI) inadequately captures heterogeneity in cardiovascular (CV) risk. We hypothesised that a ‘Slow Burn’ phenotype, defined as lower‐than‐expected energy intake relative to BMI, age, and sex, identifies individuals at elevated CV risk across the BMI spectrum.
Yongin Cho +3 more
wiley +1 more source

