Unlabelled: Endothelial dysfunction and enhanced platelet reactivity in congestive heart failure (CHF) contribute to poor prognosis. CHF patients display an impaired responsiveness to clopidogrel. Fractalkine activates platelets and elevated plasma levels of this chemokine are a feature of CHF. We here addressed the interrelation of fractalkine, platelet reactivity and clopidogrel efficacy in humans and rats with CHF. Fractalkine serum levels determined by ELISA were increased in CHF patients (CHF: 1548 ± 650 pg/ml;
Control: 968 ± 575 pg/ml, p<0.01) and following CHF induction in rats (CHF: 1509 ± 753 pg/ml; Sham: 1181 ± 275 pg/ml, p<0.05). Expression of fractalkine and its receptor CX3CR1 was enhanced in aortas of CHF rats as determined by immunofluorescence microscopy and molecular analysis. Fractalkine significantly aggravated endothelial dysfunction and augmented P-selectin expression on platelets from CHF rats. Platelet surface expression of CX3CR1 was increased in CHF rats, who displayed an impaired response to clopidogrel (platelet reactivity to ADP: CHF 30 ± 22%; Sham: 8 ± 5%, p<0.05). Similarly in humans with CHF, elevated fractalkine levels were accompanied by reduced clopidogrel responsiveness. Patients with high on-clopidogrel treatment platelet P2Y12 reactivity displayed higher fractalkine levels (1525 ± 487 pg/ml) than those with sufficient clopidogrel response (684 ± 315 pg/ml, p<0.01). In conclusion, in CHF fractalkine was increased on the endothelium and in blood serum, and platelet surface-expression of CX3CR1 was enhanced. Fractalkine diminished endothelial function beyond the impairment already observed in CHF and was associated with a reduced responsiveness to the platelet inhibitor clopidogrel. These findings may indicate a novel pathophysiological mechanism contributing to impaired clopidogrel responsiveness in CHF.
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http://dx.doi.org/10.1160/TH13-08-0640 | DOI Listing |
Sleep
January 2025
Santa Barbara Actuaries Inc., Santa Barbara, CA, USA.
Study Objectives: To determine the association between adherence to positive airway pressure and healthcare costs among a national sample of older adults with comorbid OSA and common chronic conditions.
Methods: Our data source was a random sample of Medicare administrative claims for years 2016-2019. Inclusion criteria included age >65 years and new diagnosis of OSA.
J Cardiovasc Electrophysiol
January 2025
Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Background: Atrial fibrillation (AF) is the most common arrhythmia worldwide. However, data regarding readmissions following index admission for AF in the developing world are not well described. This study assessed the rate, predictors, and trends of 6-month readmission after index admission for AF in Syria.
View Article and Find Full Text PDFJ Neuroimaging
January 2025
Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Background And Purpose: Endovascular thrombectomy (EVT) is the standard for acute ischemic stroke from large vessel occlusion, but post-EVT functional independence varies. Brain atrophy, linked to higher cerebrospinal fluid volume (CSFV), may affect outcomes. Baseline CSFV could predict EVT benefit by assessing brain health.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom.
Background: Atrial fibrillation (AF) is the most common arrhythmia worldwide. Data regarding 30-day readmission following index admission for AF in the developing world are poorly described.
Objectives: The study aimed to assess the rate, predictors, and trends of 30-day readmission after index admission for AF in Syria.
JAMIA Open
February 2025
Department of Medicine, University of Wisconsin-Madison, Madison, WI 53792, United States.
Objective: To evaluate large language models (LLMs) for pre-test diagnostic probability estimation and compare their uncertainty estimation performance with a traditional machine learning classifier.
Materials And Methods: We assessed 2 instruction-tuned LLMs, Mistral-7B-Instruct and Llama3-70B-chat-hf, on predicting binary outcomes for Sepsis, Arrhythmia, and Congestive Heart Failure (CHF) using electronic health record (EHR) data from 660 patients. Three uncertainty estimation methods-Verbalized Confidence, Token Logits, and LLM Embedding+XGB-were compared against an eXtreme Gradient Boosting (XGB) classifier trained on raw EHR data.
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