10 Result(s)
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Roopinder K. Sandhu
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Article
Rational patient selection for catheter ablation of atrial fibrillation
During the past decade, catheter ablation of atrial fibrillation has been progressively used for the treatment of drug-refractory patients. As experience and technique have evolved, patient selection criteria ...
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Open AccessA case report of QT prolongation with glycopyrronium bromide in a patient with chronic tamoxifen use
Glycopyrronium bromide has recently been approved as a once daily maintenance inhalation therapy for moderate to severe chronic obstructive pulmonary disease (COPD). Efficacy and safety trial data have found r...
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Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation
Patrick Ellinor and colleagues report meta-analyses of common and rare variant association studies for atrial fibrillation across multiple populations. They identify 12 new loci, some of which implicate genes ...
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Erratum: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation
Nat. Genet.; 10.1038/ng.3843; corrected online 11 May 2017 In the version of this article initially published online, the authors were incorrectly defined as members of the AFGen consortium in the author list....
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Multi-ethnic genome-wide association study for atrial fibrillation
Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consi...
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Atomoxetine for suppression of vasovagal syncope
Vasovagal syncope (VVS) is a common clinical condition with few effective medical therapies. The study aimed to evaluate the effectiveness of atomoxetine in suppressing syncope in patients with recurrent VVS.
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Open AccessTowards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
The feasibility and value of linking electrocardiogram (ECG) data to longitudinal population-level administrative health data to facilitate the development of a learning healthcare system has not been fully ex...
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Open AccessDeep learning-based electrocardiographic screening for chronic kidney disease
Undiagnosed chronic kidney disease (CKD) is a common and usually asymptomatic disorder that causes a high burden of morbidity and early mortality worldwide. We developed a deep learning model for CKD screening...
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Kidney function monitoring and trajectories in patients with atrial fibrillation
Atrial fibrillation (AF) and chronic kidney disease (CKD) frequently co-exist. The frequency of kidney monitoring and range of kidney function in patients with AF in clinical practice are uncertain.
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Open AccessDeep learning evaluation of echocardiograms to identify occult atrial fibrillation
Atrial fibrillation (AF) often escapes detection, given its frequent paroxysmal and asymptomatic presentation. Deep learning of transthoracic echocardiograms (TTEs), which have structural information, could he...
