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Article ; Online: --

Sau, Arunashis / Ng, Fu Siong

BMJ medicine

2023 Volume 2, Issue 1, Page(s) e000193

Language	English
Publishing date	2023-07-31
Publishing country	England
Document type	Journal Article
ISSN	2754-0413
ISSN (online)	2754-0413
DOI	10.1136/bmjmed-2022-000193
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Response to letter by Saumarez et al. entitled 'Regarding the editorial by Sau and Ng. "Hypertrophic cardiomyopathy risk stratification based on clinical or dynamic electrophysiological features: two sides of the same coin"'.

Sau, Arunashis / Ng, Fu Siong

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

2023 Volume 25, Issue 7

MeSH term(s)	Humans ; Cardiomyopathy, Hypertrophic/complications ; Cardiomyopathy, Hypertrophic/diagnosis ; Risk Assessment
Language	English
Publishing date	2023-08-08
Publishing country	England
Document type	Letter ; Comment
ZDB-ID	1449879-0
ISSN	1532-2092 ; 1099-5129
ISSN (online)	1532-2092
ISSN	1099-5129
DOI	10.1093/europace/euad174
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 5434: Show issues

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Article ; Online: Hypertrophic cardiomyopathy risk stratification based on clinical or dynamic electrophysiological features: two sides of the same coin.

Sau, Arunashis / Ng, Fu Siong

2023 Volume 25, Issue 5

MeSH term(s)	Humans ; Cardiomyopathy, Hypertrophic/complications ; Cardiomyopathy, Hypertrophic/diagnosis ; Risk Assessment
Language	English
Publishing date	2023-03-21
Publishing country	England
Document type	Editorial ; Comment
ZDB-ID	1449879-0
ISSN	1532-2092 ; 1099-5129
ISSN (online)	1532-2092
ISSN	1099-5129
DOI	10.1093/europace/euad072
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 5434: Show issues

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Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Type 2 Diabetes and Atrial Fibrillation: Evaluating Causal and Pleiotropic Pathways Using Mendelian Randomization.

Reddy, Rohin K / Ardissino, Maddalena / Ng, Fu Siong

Journal of the American Heart Association

2023 Volume 12, Issue 17, Page(s) e030298

Abstract: Background Observational associations between type 2 diabetes (T2D) and atrial fibrillation (AF) have been established, but causality remains undetermined. We performed Mendelian randomization (MR) to study causal effects of genetically predicted T2D on ... ...

Abstract	Background Observational associations between type 2 diabetes (T2D) and atrial fibrillation (AF) have been established, but causality remains undetermined. We performed Mendelian randomization (MR) to study causal effects of genetically predicted T2D on AF risk, independent of cardiometabolic risk factors. Methods and Results Instrumental variables included 182 uncorrelated single nucleotide polymorphisms associated with T2D at genome-wide significance (
MeSH term(s)	Humans ; Atrial Fibrillation/diagnosis ; Atrial Fibrillation/epidemiology ; Atrial Fibrillation/genetics ; Diabetes Mellitus, Type 2/diagnosis ; Diabetes Mellitus, Type 2/epidemiology ; Diabetes Mellitus, Type 2/genetics ; Genome-Wide Association Study ; Mendelian Randomization Analysis ; Lipoproteins, LDL
Chemical Substances	Lipoproteins, LDL
Language	English
Publishing date	2023-08-23
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2653953-6
ISSN	2047-9980 ; 2047-9980
ISSN (online)	2047-9980
ISSN	2047-9980
DOI	10.1161/JAHA.123.030298
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Atrial fibrillation phenotypes: the route to personalised care?

Sau, Arunashis / Pastika, Libor / Ng, Fu Siong

Heart (British Cardiac Society)

2023 Volume 109, Issue 23, Page(s) 1727–1728

MeSH term(s)	Humans ; Atrial Fibrillation/diagnosis ; Atrial Fibrillation/therapy ; Phenotype
Language	English
Publishing date	2023-11-10
Publishing country	England
Document type	Editorial ; Comment
ZDB-ID	1303417-0
ISSN	1468-201X ; 1355-6037
ISSN (online)	1468-201X
ISSN	1355-6037
DOI	10.1136/heartjnl-2023-322812
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Ui IV Zs.40: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG)
Zs.MO 112: Show issues

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Article ; Online: Maternal hypertensive traits and adverse outcome in pregnancy: a Mendelian randomization study.

Ardissino, Maddalena / Reddy, Rohin K / Slob, Eric A W / Griffiths, Jack / Girling, Joanna / Ng, Fu Siong

Journal of hypertension

2023 Volume 41, Issue 9, Page(s) 1438–1445

Abstract: Introduction: Hypertensive disorders of pregnancy are associated with adverse feto-maternal outcomes. Existing evidence is mostly limited to observational studies, which are liable to confounding and bias. This study investigated the causal relevance of ...

Abstract	Introduction: Hypertensive disorders of pregnancy are associated with adverse feto-maternal outcomes. Existing evidence is mostly limited to observational studies, which are liable to confounding and bias. This study investigated the causal relevance of component hypertensive indices on multiple adverse pregnancy outcomes using Mendelian randomization. Methods: Uncorrelated ( r2 < 0.001) genome-wide significant ( P < 5 × 10 -8 ) single-nucleotide polymorphisms associated with SBP, DBP and pulse pressure (PP) were selected as instrumental variables. Genetic association estimates for outcomes of preeclampsia or eclampsia, preterm birth, placental abruption and hemorrhage in early pregnancy were extracted from summary statistics of genome-wide association studies in the FinnGen cohort. Two-sample, inverse-variance weighted Mendelian randomization formed the primary analysis method. Odds ratios (OR) are presented per-10 mmHg higher genetically predicted hypertensive index. Results: Higher genetically predicted SBP were associated with higher odds of preeclampsia or eclampsia [OR 1.81, 95% confidence interval (CI) 1.68-1.96, P = 5.45 × 10 -49 ], preterm birth (OR 1.09, 95% CI 1.03-1.16, P = 0.005) and placental abruption (OR 1.33, 95% CI 1.05-1.68, P = 0.016). Higher genetically-predicted DBP was associated with preeclampsia or eclampsia (OR 2.54, 95% CI 2.21-2.92, P = 5.35 × 10 -40 ). Higher genetically predicted PP was associated with preeclampsia or eclampsia (OR 1.68, 95% CI 1.47-1.92, P = 1.9 × 10 -14 ) and preterm birth (OR 1.18, 95% CI 1.06-1.30, P = 0.002). Conclusion: This study provides genetic evidence to support causal associations of SBP, DBP and PP on multiple adverse outcomes of pregnancy. SBP and PP were associated with the broadest range of adverse outcomes, suggesting that optimized management of blood pressure, particularly SBP, is a key priority to improve feto-maternal health.
MeSH term(s)	Pregnancy ; Humans ; Infant, Newborn ; Female ; Pre-Eclampsia/epidemiology ; Pre-Eclampsia/genetics ; Premature Birth/genetics ; Eclampsia/epidemiology ; Eclampsia/genetics ; Abruptio Placentae/epidemiology ; Abruptio Placentae/genetics ; Mendelian Randomization Analysis ; Genome-Wide Association Study ; Placenta ; Hypertension ; Pregnancy Outcome ; Polymorphism, Single Nucleotide
Language	English
Publishing date	2023-07-05
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	605532-1
ISSN	1473-5598 ; 0263-6352 ; 0952-1178
ISSN (online)	1473-5598
ISSN	0263-6352 ; 0952-1178
DOI	10.1097/HJH.0000000000003486
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Zs.A 1885: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 614: Show issues

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Article ; Online: Oxidative stress and atrial fibrillation - association or causation?

Moscoso Costa, Francisco / Ng, Fu Siong

Revista portuguesa de cardiologia

2021 Volume 40, Issue 1, Page(s) 11–12

MeSH term(s)	Atrial Fibrillation/etiology ; DNA Damage ; Humans ; Oxidants ; Oxidative Stress
Chemical Substances	Oxidants
Language	Portuguese
Publishing date	2021-01-09
Publishing country	Spain
Document type	Journal Article ; Comment
ZDB-ID	2646972-8
ISSN	2174-2049 ; 2174-2049
ISSN (online)	2174-2049
ISSN	2174-2049
DOI	10.1016/j.repc.2020.12.007
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Book ; Online: Improving Diffusion Models for ECG Imputation with an Augmented Template Prior

Jenkins, Alexander / Chen, Zehua / Ng, Fu Siong / Mandic, Danilo

2023

Abstract: Pulsative signals such as the electrocardiogram (ECG) are extensively collected as part of routine clinical care. However, noisy and poor-quality recordings are a major issue for signals collected using mobile health systems, decreasing the signal ... ...

Abstract	Pulsative signals such as the electrocardiogram (ECG) are extensively collected as part of routine clinical care. However, noisy and poor-quality recordings are a major issue for signals collected using mobile health systems, decreasing the signal quality, leading to missing values, and affecting automated downstream tasks. Recent studies have explored the imputation of missing values in ECG with probabilistic time-series models. Nevertheless, in comparison with the deterministic models, their performance is still limited, as the variations across subjects and heart-beat relationships are not explicitly considered in the training objective. In this work, to improve the imputation and forecasting accuracy for ECG with probabilistic models, we present a template-guided denoising diffusion probabilistic model (DDPM), PulseDiff, which is conditioned on an informative prior for a range of health conditions. Specifically, 1) we first extract a subject-level pulsative template from the observed values to use as an informative prior of the missing values, which personalises the prior; 2) we then add beat-level stochastic shift terms to augment the prior, which considers variations in the position and amplitude of the prior at each beat; 3) we finally design a confidence score to consider the health condition of the subject, which ensures our prior is provided safely. Experiments with the PTBXL dataset reveal that PulseDiff improves the performance of two strong DDPM baseline models, CSDI and SSSD$^{S4}$, verifying that our method guides the generation of DDPMs while managing the uncertainty. When combined with SSSD$^{S4}$, PulseDiff outperforms the leading deterministic model for short-interval missing data and is comparable for long-interval data loss.
Keywords	Computer Science - Machine Learning
Subject code	310
Publishing date	2023-10-24
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Is machine learning the future for atrial fibrillation screening?

Sivanandarajah, Pavidra / Wu, Huiyi / Bajaj, Nikesh / Khan, Sadia / Ng, Fu Siong

Cardiovascular digital health journal

2022 Volume 3, Issue 3, Page(s) 136–145

Abstract: Atrial fibrillation (AF) is the most common arrhythmia and causes significant morbidity and mortality. Early identification of AF may lead to early treatment of AF and may thus prevent AF-related strokes and complications. However, there is no current ... ...

Abstract	Atrial fibrillation (AF) is the most common arrhythmia and causes significant morbidity and mortality. Early identification of AF may lead to early treatment of AF and may thus prevent AF-related strokes and complications. However, there is no current formal, cost-effective strategy for population screening for AF. In this review, we give a brief overview of targeted screening for AF, AF risk score models used for screening and describe the different screening tools. We then go on to extensively discuss the potential applications of machine learning in AF screening.
Language	English
Publishing date	2022-05-16
Publishing country	United States
Document type	Journal Article ; Review
ISSN	2666-6936
ISSN (online)	2666-6936
DOI	10.1016/j.cvdhj.2022.04.001
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Obesity as a risk factor for cardiac arrhythmias.

Patel, Kiran Haresh Kumar / Reddy, Rohin K / Sau, Arunashis / Sivanandarajah, Pavidra / Ardissino, Maddalena / Ng, Fu Siong

BMJ medicine

2022 Volume 1, Issue 1, Page(s) e000308

Abstract: Obesity is global health problem with an estimated three billion people worldwide being classified as overweight or obese. In addition to being associated with a range of adverse health outcomes, obesity is linked to higher risks of atrial and ... ...

Abstract	Obesity is global health problem with an estimated three billion people worldwide being classified as overweight or obese. In addition to being associated with a range of adverse health outcomes, obesity is linked to higher risks of atrial and ventricular arrhythmias, as well as sudden cardiac death. Obesity is a multifactorial disease that often co-exists with hypertension, diabetes, and sleep apnoea, which are also independent risk factors for cardiac arrhythmias. Nevertheless, compelling evidence suggests that increasing adiposity is an independent proarrhythmic risk factor and that weight loss can be a mitigating and preventative intervention to reduce arrhythmia incidence. This review briefly outlines the economic and social burden of obesity and summarises evidence for the direct and indirect effects of increasing adiposity on risk of atrial and ventricular arrhythmias. The paper also summarises the evidence for electrocardiographic changes indicative of obesity-related atrial and ventricular remodelling and how weight reduction and management of comorbidity might reduce arrhythmic burden.
Language	English
Publishing date	2022-10-19
Publishing country	England
Document type	Journal Article ; Review
ISSN	2754-0413
ISSN (online)	2754-0413
DOI	10.1136/bmjmed-2022-000308
Database	MEDical Literature Analysis and Retrieval System OnLINE

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