Computational models and neural nets: Fantastic models—Where to find them and how to identify them

Wierzbicki, Anthony S.; Reynolds, Tim

doi:10.1111/ijcp.13391

Cited by 1 publication

(1 citation statement)

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“…Big data approaches may raise this to 75% by incorporating additional factors such as variances in CVD risk factors. 19 Numerous biomarker panels have been proposed but none have made it into guidelines. 20 Both the European and US guidelines incorporate coronary artery calcium (CAC) scores from cardiovascular computer tomography (CT) >100 Agatston units in their risk algorithms as this imaging technology reclassifies 30% of intermediate-risk individuals correctly (high CAC and no CVD risk factors (RFs) = high risk; zero CAC and multiple CVD RFs = low risk).…”

Section: Imagingmentioning

confidence: 99%

Cardiovascular prevention: Frontiers in lipid guidelines

Kim

Wierzbicki

2020

Clinical Medicine

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Cardiovascular disease (CVD) remains one of the principal causes of morbidity and mortality in the world. International guidelines are being updated to take into account new evidence and improved health economics as drug patents expire. Recent studies have investigated the best lipid fractions to predict CVD, suggested additional CVD risk factors and a potential role for novel biomarkers while big data approaches have allowed improvements to be made to CVD risk calculators. The increasing availability of next generation sequencing is allowing systematic efforts to be made to detect monogenic familial hypercholesterolaemia. Previous trials have validated the low-density lipoprotein cholesterol (LDL-C) hypothesis of atherosclerosis. Statins now form part of universal treatment advice for CVD and trial data on ezetimibe also suggests it has a place in the treatment pathway. New data has been published on novel lipid-lowering therapies such as proprotein convertase subtilisin kexin 9 inhibitors but the role of these expensive drugs has yet to be fully settled and a diversity of approaches exists between guidelines. The role of lipid fractions outside LDL-C is unclear. There will be challenges in incorporating new non-linear data on omega-3 fatty acids that not only affect triglycerides but more directly CVD. Recently updated major specialist society guidelines include the

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Section: Imagingmentioning

confidence: 99%