A randomized controlled trial of povidone-iodine/dexamethasone ophthalmic suspension for acute viral conjunctivitis [PDF]
Haque, Reza +3 more
core +1 more source
The study population included 220 participants with acute decompensated heart failure (ADHF) stratified by diuretic resistance (DR) risk using the BAN‐ADHF score. (A) Mean weight change (± standard error) at 72 h, and (B) mean change in area under the curve (AUC) of the dyspnoea visual analogue scale (VAS) at 72 h (± standard error), with higher values
Ambarish Pandey +9 more
wiley +1 more source
Risk Factors Associated With Steroid-Induced Ocular Hypertension and Glaucoma in Patients With Vernal Keratoconjunctivitis in a North Indian Population: A Multicenter Study. [PDF]
Dubey S +7 more
europepmc +1 more source
In total, 5084 patients from Swedish registries with both heart failure (HF) with reduced ejection fraction (HFrEF) and chronic obstructive pulmonary disease (COPD) were included. Confounding was handled by overlap weighting based on propensity scores for beta‐blocker use. Patients were followed up for 5 years, or until death, emigration from Sweden or
Benedikt N. Beer +17 more
wiley +1 more source
Vasoactive intestinal peptide reduces ocular hypertension by regulating tight junction of trabecular meshwork through Rab13/PKA signalling complex. [PDF]
Chen L, Yan X, Luo Z, Cheng Y, Li M.
europepmc +1 more source
Aims Tafamidis reshaped the treatment paradigm in transthyretin amyloid cardiomyopathy (ATTR‐CM) based on a phase‐3 randomized controlled trial, but real‐world data on its use remain limited. This study aimed to assess in a large, contemporary, real‐world cohort of patients with wild‐type ATTR‐CM (ATTRwt‐CM) (i) the clinical phenotype of patients ...
Aldostefano Porcari +48 more
wiley +1 more source
Effect of prostaglandin analogs on macular microcirculation in patients with ocular hypertension and early glaucoma. [PDF]
Li X, He Y, Liao S, Wei X.
europepmc +1 more source
Unsupervised machine learning for cardiovascular disease: A framework for future studies
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs). Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Emmanuel Bresso +7 more
wiley +1 more source
TRPA1 exacerbates selective retinal ganglion cell vulnerability under acute ocular hypertension. [PDF]
Lu W +11 more
europepmc +1 more source

