Background and Objectives: It has been confirmed that adiponectin/leptin (A/L) ratio correlates better with cardiometabolic risk factors than hormone levels alone. The aim of our study was to determine the risk of developing post-transplant diabetes mellitus (PTDM) and other metabolic conditions depending on A/L ratio after kidney transplantation (KT). Material and Methods: In a prospective analysis, the studied samples were divided into three groups: control group, prediabetes and PTDM group. Pre-transplantation, at 3, 6 and 12 months after KT, we recorded basic characteristics of donor and recipient. We also monitored levels of adipocytokines and calculated A/L ratio. Results: During observed period, we recorded significant increase in A/L ratio in control group (p = 0.0013), on the contrary, a significant decrease in PTDM group (p = 0.0003). Using Cox regression Hazard model, we identified age at time of KT (HR 2.8226, p = 0.0225), triglycerides at 1 year (HR 3.5735, p = 0.0174) and A/L ratio < 0.5 as independent risk factors for prediabetes and PTDM 1-year post-transplant (HR 3.1724, p = 0.0114). Conclusions: This is the first study to evaluate the relationship between A/L and risk of PTDM and associated metabolic states after KT. We found out that A/L ratio <0.5 is independent risk factor for prediabetes and PTDM 1 year post-transplant.
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http://dx.doi.org/10.3390/medicina58111656 | DOI Listing |
Eur Heart J Digit Health
January 2025
Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia.
Aims: An explainable advanced electrocardiography (A-ECG) Heart Age gap is the difference between A-ECG Heart Age and chronological age. This gap is an estimate of accelerated cardiovascular aging expressed in years of healthy human aging, and can intuitively communicate cardiovascular risk to the general population. However, existing A-ECG Heart Age requires sinus rhythm.
View Article and Find Full Text PDFEBioMedicine
January 2025
CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Ontact Health Inc., Seoul, Republic of Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Background: Transthoracic echocardiography (TTE) is the primary modality for diagnosing aortic stenosis (AS), yet it requires skilled operators and can be resource-intensive. We developed and validated an artificial intelligence (AI)-based system for evaluating AS that is effective in both resource-limited and advanced settings.
Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation.
JAMA Psychiatry
January 2025
Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Importance: Depressive symptoms are associated with cognitive decline in older individuals. Uncertainty about underlying mechanisms hampers diagnostic and therapeutic efforts. This large-scale study aimed to elucidate the association between depressive symptoms and amyloid pathology.
View Article and Find Full Text PDFCirc Cardiovasc Imaging
January 2025
DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance (M.L., A.H., E.R., M.v.S., A. Kastrati, H.S., M.J., E.X., K.-L.L., J.H., T.T.).
Background: Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricuspid annular plane systolic excursion. Recently, a deep learning model has been proposed that accurately predicts RV ejection fraction (RVEF) from 2-dimensional echocardiographic videos, with similar diagnostic accuracy as 3-dimensional imaging. This study aimed to evaluate the prognostic value of the deep learning-predicted RVEF values in patients with severe MR undergoing TEER.
View Article and Find Full Text PDFRadiology
January 2025
From the Dept of Diagnostic and Interventional Neuroradiology, Univ Medical Ctr Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany (L.M., G.B., P.S., J.F., C.P.S.); Dept of Diagnostic and Interventional Neuroradiology, Hosp Bremen-Mitte, Bremen, Germany (M.A., P.P.); Interventional Neuroradiology Section, Dept of Radiology, Donostia Univ Hosp, Donostia-San Sebastián, Spain (Á.L., J.Á.L.); Clinic for Radiology, Section for Interventional Radiology, Univ of Münster and Univ Hosp Münster, Münster, Germany (W.S., H.K., C.P.S.); Dept of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany (W.N.); Dept of Neuroradiology, Otto-von-Guericke-Universitätsklinikum Magdeburg, Magdeburg, Germany (D.B., M.T.); Inst for Diagnostic and Interventional Radiology and Neuroradiology, Univ Hosp Essen, Essen, Germany (H.S., C.D.); Dept of Neuroradiology, Univ of Cologne, Cologne, Germany (C.K., C.Z.); Dept of Neuroradiology, Univ Hosp Aachen, Aachen, Germany (C.W., M. Möhlenbruch); Dept of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical Univ Munich, Munich, Germany (M.R.H.P., C.M.); Inst of Neuroradiology, Univ Hosps, LMU Munich, Munich, Germany (H.Z.); Dept of Diagnostic and Interventional Neuroradiology, Univ Medical Ctr Goettingen, Goettingen, Germany (M. Ernst, A.J.); Interventional Neuroradiology, Dept of Radiology, Hosp Clínico San Carlos, Madrid, Spain (M.M.G., C.P.G.); Dept of Neuroradiology, Hosp Universitario La Paz, Madrid, Spain (P.N., A.F.P.); Div of Neurology, Dept of Medicine (L.Y., B.T.), and Div of Interventional Radiology, Dept of Diagnostic Imaging (A.G.), National Univ Health System, Singapore; Yong Loo Lin School of Medicine, National Univ of Singapore, Singapore (L.Y., B.T., A.G.); Inst of Neuroradiology, Charité Universitätsmedizin Berlin, Berlin, Germany (E.S., M. Miszczuk); Dept of Neuroradiology, Clinic and Policlinic of Radiology, Univ Hosp Halle/Saale, Halle, Germany (S.S.); Dept of Radiology and Neuroradiology, Stadtspital Zürich, Zürich, Switzerland (P.S.); Dept of Diagnostic and Interventional Neuroradiology, Univ Hosp Basel, Basel, Switzerland (P.S., M.P.); Depts of Interventional Neuroradiology (J.Z.P.) and Neurology (G.P.), Hosp Clínico Universitario Virgen de la Arrixaca, Murcia, Spain; Dept of Neuroradiology, Karolinska Univ Hosp and Dept of Clinical Neuroscience, Karolinska Inst, Stockholm, Sweden (F.A., T.A.); Dept of Medical Imaging, AZ Groeninge, Kortrijk, Belgium (T.A.); Dept of Radiology, Comenius Univ's Jessenius Faculty of Medicine and Univ Hosp, Martin, Slovakia (K.Z.); Dept of Radiology, Aretaieion Univ Hosp, National and Kapodistrian Univ of Athens, Athens, Greece (P.P.); Dept of Neuroradiology, Univ Hosp Marburg, Marburg, Germany (A.K.); Dept of Neuroradiology, Univ Hosp of Bonn, Bonn, Germany (F.D.); and Dept of Neuroradiology, Alfried Krupp Krankenhaus, Essen, Germany (M. Elsharkawy).
Background Symptomatic acute occlusions of the internal carotid artery (ICA) below the circle of Willis can cause a variety of stroke symptoms, even if the major intracranial cerebral arteries remain patent; however, outcome and safety data are limited. Purpose To compare treatment effects and procedural safety of endovascular treatment (EVT) and best medical treatment (BMT) in patients with symptomatic acute occlusions of the ICA below the circle of Willis. Materials and Methods This retrospective, multicenter cohort study from 22 comprehensive stroke centers in Europe and Asia includes patients treated between January 1, 2008, and December 31, 2022.
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