Mortality in ischaemic stroke patients without standard modifiable risk factors: An analysis of the Riksstroke registry.

Introduction: Little is known of the long-term prognosis of patients with acute ischaemic stroke in the absence of standard modifiable stroke risk factors (SMoRFs). In acute coronary syndromes, patients without modifiable risk factors have a higher mortality rate. We analysed data from the Swedish Stroke Register to determine survival of patients without SMoRFs following an ischaemic stroke.

Analysis of topical conjunctival microbiotic cultures in patients treated with intravitreal injections using antibiotic prophylaxis with 0.3% ofloxacin eye drops.

Background: Intravitreal injections, a relatively recent treatment in ophthalmology, is being adopted rapidly worldwide and becoming one of the most common therapies in the field. Numerous complications are associated with this treatment, ranging from minor inflammatory ailments to endophthalmitis. We analyzed the conjunctival flora of patients treated with intravitreal injections and topical antibiotics.

Allogeneic Hematopoietic Cell Transplantation in Elderly Patients in a Latin American Country: Analysis of 11 Year of Data from the Brazilian Registry SBTMO/CIBMTR.

This study analyzed recent changes in the utilization of allogeneic hematopoietic cell transplantation (HCT) for treatment of acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myeloproliferative diseases (MPDs) and the survival of HCT recipients ≥60 years of age in Brazil. This retrospective registry study included patients who received a first allogeneic HCT from any donor between 2012 and 2023. Of the 6657 patients, 444 (7%) were 60 years of age or older who received grafts from human leukocyte antigen (HLA)-matched related (42%) or unrelated (20%) donors or HLA-haploidentical donors (32%).

Enhancing Podocyte Degenerative Changes Identification With Pathologist Collaboration: Implications for Improved Diagnosis in Kidney Diseases.

Podocyte degenerative changes are common in various kidney diseases, and their accurate identification is crucial for pathologists to diagnose and treat such conditions. However, this can be a difficult task, and previous attempts to automate the identification of podocytes have not been entirely successful. To address this issue, this study proposes a novel approach that combines pathologists' expertise with an automated classifier to enhance the identification of podocytopathies.