Browsing William Harvey Research Institute by Title

Dairy Intake and Body Composition and Cardiometabolic Traits among Adults: Mendelian Randomization Analysis of 182041 Individuals from 18 Studies.

Mendelian Randomization of Dairy Consumption Working Group; CHARGE consortium (2019-06)

BACKGROUND: Associations between dairy intake and body composition and cardiometabolic traits have been inconsistently observed in epidemiological studies, and the causal relationship remains ill-defined. METHODS: We ...

Danish study of Non-Invasive testing in Coronary Artery Disease 2 (Dan-NICAD 2): study design for a controlled study of diagnostic accuracy

PETERSEN, SE; Rasmussen, L D; Winther, S; Westra, J; Isaksen, C; Ejlersen, J A; Brix, L; Kirk, J; Urbonaviciene, G; Søndergaard, H M (Elsevier, 19-05-01)

Background: Coronary computed tomography angiography (CTA) is the preferred primary diagnostic modality when examining patients with low to intermediate pre-test probability of coronary artery disease (CAD). Only 20-30% ...

Dapagliflozin in Myocardial Infarction without Diabetes or Heart Failure

James, S; Erlinge, D; Storey, RF; McGuire, DK; de Belder, M; Eriksson, N; Andersen, K; Austin, D; Arefalk, G; Carrick, D

Data Augmentation for Heart Arrhythmia Classification

Rezaei, MJ; Woodward, JR; Ramirez, J; Munroe, P (2020-11-01)

© 2020 IEEE. In this paper, we introduce a technique for data augmentation that has been applied to an ECG dataset from the UKBiobank for heart arrhythmia classification using the XGBoost algorithm. In the majority of ...

Data on administration of cyclosporine, nicorandil, metoprolol on reperfusion related outcomes in ST-segment Elevation Myocardial Infarction treated with percutaneous coronary intervention.

Campo, G; Pavasini, R; Morciano, G; Lincoff, MA; C Gibson, M; Kitakaze, M; Lonborg, J; Ahluwalia, A; Ishii, H; Frenneaux, M (2017-10)

Mortality and morbidity in patients with ST elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (PCI) are still high [1]. A huge amount of the myocardial damage is related to the ...

Daytime napping, sleep duration and increased 8-year risk of type 2 diabetes in a British population.

Leng, Y; Cappuccio, FP; Surtees, PG; Luben, R; Brayne, C; Khaw, K-T (2016-11)

BACKGROUND AND AIMS: Few studies have prospectively examined the relationship between daytime napping and risk of type 2 diabetes. We aimed to study the effects of daytime napping and the joint effects of napping and sleep ...

DCM Support: cell therapy and circulatory support for dilated cardiomyopathy patients with severe ventricular impairment

Reid, A; Hussain, M; Veerapen, J; Ramaseshan, R; Hall, R; Bowles, R; Jones, DA; Mathur, A (2023)

Death after surgery among patients with chronic disease: prospective study of routinely collected data in the English NHS

Fowler, AJ; Wahedally, MAH; Abbott, TEF; Smuk, M; Prowle, JR; Pearse, RM; Cromwell, DA (2022)

Deconstruction of rheumatoid arthritis synovium defines inflammatory subtypes.

Zhang, F; Jonsson, AH; Nathan, A; Millard, N; Curtis, M; Xiao, Q; Gutierrez-Arcelus, M; Apruzzese, W; Watts, GFM; Weisenfeld, D (2023-11)

Rheumatoid arthritis is a prototypical autoimmune disease that causes joint inflammation and destruction1. There is currently no cure for rheumatoid arthritis, and the effectiveness of treatments varies across patients, ...

Deep Intronic FGF14 GAA Repeat Expansion in Late-Onset Cerebellar Ataxia.

Chen, Z; Tucci, A; Ryten, M (2023-05-25)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge

Martin-Isla, C; Campello, VM; Izquierdo, C; Kushibar, K; Sendra-Balcells, C; Gkontra, P; Sojoudi, A; Fulton, MJ; Arega, TW; Punithakumar, K (2023)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Bernard, O; Lalande, A; Zotti, C; Cervenansky, F; Yang, X; Heng, P-A; Cetin, I; Lekadir, K; Camara, O; Gonzalez Ballester, MA (2018-11)

Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding ...

Deep neural network architectures for cardiac image segmentation

El-Taraboulsi, J; Cabrera, CP; Roney, C; Aung, N (2023-12-15)

Imaging plays a fundamental role in the effective diagnosis, staging, management, and monitoring of various cardiac pathologies. Successful radiological analysis relies on accurate image segmentation, a technically arduous ...

Deep proteomic analysis of Dnmt1 mutant/hypomorphic colorectal cancer cells reveals dysregulation of epithelial-mesenchymal transition and subcellular re-localization of Beta-Catenin

Bowler, EH; Smith-Vidal, A; Lester, A; Bell, J; Wang, Z; Bell, CG; Wang, Y; Divecha, N; Skipp, PJ; Ewing, RM (2020-02-01)

Defective ATG16L1-mediated removal of IRE1 alpha drives Crohn's disease-like ileitis

Tschurtschenthaler, M; Adolph, TE; Ashcroft, JW; Niederreiter, L; Bharti, R; Saveljeva, S; Bhattacharyya, J; Flak, MB; Shih, DQ; Fuhler, GM (2017-02)

Defective extracellular matrix remodeling in brown adipose tissue is associated with fibro- inflammation and reduced diet-induced thermogenesis

Pellegrinelli, V; Figueroa-Juarez, E; Samuelson, I; U-Din, M; Rodriguez-Fdez, S; Virtue, S; Leggat, J; Cubuk, C; Peirce, VJ; Niemi, T (2023)

DEFINING A LEARNING CURVE FOR CLINICIANS PERFORMING ULTRASOUND-GUIDED DEFINING A LEARNING CURVE FOR CLINICIANS PERFORMING ULTRASOUND-GUIDED NEEDLE SYNOVIAL BIOPSIES: A RETROSPECTIVE ANALYSIS OF THE EXPERIENCE AT THE EXPERIMENTAL MEDICINE AND RHEUMATOLOGY, QUEEN MARY UNIVERSITY OF LONDON

Nerviani, A; Humby, F; Ribera, GL; Rivellese, F; Kelly, S; Hands, R; Pitzalis, C (2019-06)