The impact of the new Dutch guideline on cardiovascular risk management in patients with COPD: a retrospective study

Autor: Lonneke ME Nies, Ingrid Looijmans-van den Akker, Liesbeth Rozendaal, Brenda Baar, Rimke C Vos, Huberta E Hart

Publikováno v: BJGP Open, Vol 5, Iss 1 (2021)

Background: Patients with chronic obstructive pulmonary disease (COPD) have an independent increased risk of cardiovascular (CV) disease. Cardiovascular risk (CVR) assessment should be offered to all patients with COPD, according to the new Dutch CVR

Externí odkaz: https://doaj.org/article/fe496afbe422418a8d16a539932bd91e

Deep neural networks reveal novel sex-specific electrocardiographic features relevant for mortality risk

Autor: Klaske R Siegersma, Rutger R van de Leur, N Charlotte Onland-Moret, David A Leon, Ernest Diez-Benavente, Liesbeth Rozendaal, Michiel L Bots, Ruben Coronel, Yolande Appelman, Leonard Hofstra, Pim van der Harst, Pieter A Doevendans, Rutger J Hassink, Hester M den Ruijter, René van Es

Publikováno v: European Heart Journal-Digital Health, 3(2), 245-254
Siegersma, K R, Van De Leur, R R, Onland-Moret, N C, Leon, D A, Diez-Benavente, E, Rozendaal, L, Bots, M L, Coronel, R, Appelman, Y, Hofstra, L, Van Der Harst, P, Doevendans, P A, Hassink, R J, Den Ruijter, H M & Van Es, R 2022, ' Deep neural networks reveal novel sex-specific electrocardiographic features relevant for mortality risk ', European Heart Journal-Digital Health, vol. 3, no. 2, pp. 245-254 . https://doi.org/10.1093/ehjdh/ztac010

Aims Incorporation of sex in study design can lead to discoveries in medical research. Deep neural networks (DNNs) accurately predict sex based on the electrocardiogram (ECG) and we hypothesized that misclassification of sex is an important predictor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d7be37a2eda71f2f133910bd34315e2
https://researchonline.lshtm.ac.uk/id/eprint/4665956/1/ztac010.pdf