Publications by authors named "C M Hayward"

Background: Detecting atrial fibrillation (AF) after stroke is a key component of secondary prevention, but indiscriminate prolonged cardiac monitoring is costly and burdensome. Multivariable prediction models could be used to inform patient selection.

Objective: To determine the performance of available models for predicting AF after a stroke.

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Aims: Although an association between the systemic circulation and transaortic flow rate (TFR) is frequently hypothesized in patients with aortic stenosis (AS), it has not been demonstrated previously. We sought to explore the relationship between blood pressure (BP), vascular afterload measures, clinical history of hypertension, TFR, and survival in patients with severe AS (aortic valve area ≤ 1 cm²).

Methods And Results: We studied 323 patients ≥ 65 years (110 prospective, 213 registry analysis) who underwent transcatheter aortic valve replacement over a 5-year period.

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Importance: The Aspirin and Hemocompatibility Events With a Left Ventricular Assist Device in Advanced Heart Failure (ARIES-HM3) study demonstrated that aspirin may be safely eliminated from the antithrombotic regimen after HeartMate 3 (HM3 [Abbott Cardiovascular]) left ventricular assist device (LVAD) implantation. This prespecified analysis explored whether conditions requiring aspirin (prior percutaneous coronary intervention [PCI], coronary artery bypass grafting [CABG], stroke, or peripheral vascular disease [PVD]) would influence outcomes differentially with aspirin avoidance.

Objective: To analyze aspirin avoidance on hemocompatibility-related adverse events (HRAEs) at 1 year after implant in patients with a history of CABG, PCI, stroke, or PVD.

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Background: Acute kidney injury (AKI) in the context of acute decompensated heart failure (ADHF) encompasses a broad spectrum of phenotypes with associated disparate outcomes. We evaluate the impact of 'ongoing AKI' on prognosis and cardiorenal outcomes and describe predictors of 'ongoing AKI'.

Methods: A prospective multicentre observational study of patients admitted with ADHF requiring intravenous furosemide was completed, with urinary angiotensinogen (uAGT) measured at baseline.

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Dissecting the genetic mechanisms underlying urinary metabolite concentrations can provide molecular insights into kidney function and open possibilities for causal assessment of urinary metabolites with risk factors and disease outcomes. Proton nuclear magnetic resonance metabolomics provides a high-throughput means for urinary metabolite profiling, as widely applied for blood biomarker studies. Here we report a genome-wide association study meta-analysed for 3 European cohorts comprising 8,011 individuals, covering both people with type 1 diabetes and general population settings.

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