Objective: To evaluate the association between initial diabetic retinopathy (DR) severity/risk of blindness in patients with newly diagnosed DR/good vision in the U.S.
Research Design And Methods: This retrospective cohort study evaluated adult patients with good vision (20/40 or better) and newly diagnosed DR between 1 January 2013 and 31 December 2017 (index date) in the American Academy of Ophthalmology's Intelligent Research in Sight (IRIS) Registry. The primary exposure of interest was DR severity at index: mild nonproliferative DR (NPDR), moderate NPDR, severe NPDR, and proliferative DR (PDR). The main outcome measure was development of sustained blindness (SB), defined as study eyes with Snellen visual acuity readings of 20/200 or worse at two separate visits ≥3 months apart that did not improve beyond 20/100.
Results: Among 53,535 eligible eyes (mean follow-up 662.5 days), 678 (1.3%) eyes developed SB. Eyes with PDR at index represented 10.5% (5,629 of 53,535) of the analysis population but made up 26.5% (180 of 678) of eyes that developed SB. Kaplan-Meier analysis revealed that eyes with moderate NPDR, severe NPDR, and PDR at index were 2.6, 3.6, and 4.0 times more likely, respectively, to develop SB after 2 years of DR diagnosis versus eyes with mild DR at index. In a Cox proportional hazards model adjusted for index characteristics/development of ocular conditions during follow-up, eyes with PDR had an increased risk of developing SB versus eyes with mild NPDR at index (hazard ratio 2.26 [95% CI 2.09-2.45]).
Conclusions: In this longitudinal ophthalmologic registry population involving eyes with good vision, more advanced DR at first diagnosis was a significant risk factor for developing SB.
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http://dx.doi.org/10.2337/dc20-0413 | DOI Listing |
JCO Oncol Pract
January 2025
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Psycho-Oncology, Peking University Cancer Hospital &Institute, Beijing, China.
Purpose: Early interdisciplinary supportive care (ESC), including psychological interventions, can improve the survival of patients with metastatic esophagogastric cancer (EGC). The purpose of the study was to evaluate the association between psychological factors and survival in patients with metastatic EGC.
Methods: A secondary analysis was conducted for an open-label randomized controlled trial of ESC, in which 246 patients with EGC completed a distress measure (the distress thermometer) and a depression symptom measure (the Patient Health Questionnaire-9 [PHQ-9]) at baseline before cancer treatments.
Clin Rheumatol
January 2025
Department of Pediatric Rheumatology, Zeynep Kamil Women and Children's Diseases Training and Research Hospital, Istanbul, Turkey.
Introduction/objectives: The study aimed to determine whether in children with newly diagnosed juvenile idiopathic arthritis (JIA) hepatitis B surface antibody (anti-HBs) differs from healthy children and to see whether the revaccination is safe and effective under JIA treatment.
Methods: Patients who were followed up with a diagnosis of JIA between January 2020 and February 2024 were included. The control group consisted of healthy children matched for age and gender.
Background: The Bombay and para-Bombay blood groups are rare blood types that are significant to clinical blood transfusions. Accurate para-Bombay blood group identification is important for the safety of transfusions.
Methods: Serological and molecular biology methods were used to detect one case of ABO blood type.
Radiology
January 2025
From the Department of Cardiology (T.P., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), MIRACL.ai (Multimodality Imaging for Research and Analysis Core Laboratory: and Artificial Intelligence) (T.P., S.T., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), Inserm MASCOT-UMRS 942 (T.P., K.H., T.A.S., T.G., A.L., E.G., A.U., J.G.D., P.H.), and Department of Radiology (T.P., V.B., L.H., T.G.), Université Paris Cité, University Hospital of Lariboisière, Assistance Publique-Hôpitaux de Paris, Paris, France; Cardiovascular Magnetic Resonance Laboratory (T.P., T.H., T.U., F.S., S.C., P.G., J.G.) and Cardiac Computed Tomography Laboratory (T.P., T.H., T.L., B.C., T.U., F.S., S.C., H.B., A.N., M.A., P.G., J.G.), Hôpital Privé Jacques Cartier, Institut Cardiovasculaire Paris Sud, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300 Massy, France; Scientific Partnerships, Siemens Healthcare France, Saint-Denis, France (S.T.); Department of Cardiology, Hôpital Universitaire de Bruxelles-Hôpital Erasme, Brussels, Belgium (A.U.); and Department of Cardiovascular Imaging, American Hospital of Paris, Neuilly, France (O.V., M.S.).
Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purpose To investigate the performance of an ML model that uses both stress cardiac MRI and coronary CT angiography (CCTA) data to predict major adverse cardiovascular events (MACE) in patients with newly diagnosed CAD.
View Article and Find Full Text PDFHistol Histopathol
December 2024
Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden.
Aim: Ovarian cancer (OC) is a fatal female malignant tumor that severely impacts the health of women worldwide. Due to the lack of diagnostic biomarkers, 70% of OC patients are considered in the advanced stage at the first diagnosis. Exploring novel biomarkers for OC diagnosis has become an urgent clinical need to address.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!