Now showing items 1-2 of 2

    • Comparing prevalence of chronic kidney disease and its risk factors between population-based surveys in Russia and Norway 

      Cook, Sarah; Solbu, Marit Dahl; Eggen, Anne Elise; Iakunchykova, Olena; Averina, Maria; Hopstock, Laila Arnesdatter; Kholmatova, Kamila Kahramonzhonovna; Kudryavtsev, Alexander V; Leon, David A.; Malyutina, Sofia; Ryabikov, Andrew; Williamson, Elizabeth; Nitsch, Dorothea (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-14)
      Background - Little data exists on the prevalence of chronic kidney disease (CKD) in the Russian population. We aimed to estimate the prevalence of CKD in a population-based study in Russia, compare with a similar study in Norway, and investigate whether differences in risk factors explained between-study differences in CKD.<p> <p>Methods - We compared age- and sex-standardised prevalence of ...
    • Machine-learning-derived heart and brain age are independently associated with cognition 

      Iakunchykova, Olena; Schirmer, Henrik; Vangberg, Torgil Riise; Wang, Yunpeng; Benavente, Ernest D.; van Es, René; van de Leur, Rutger R.; Lindekleiv, Haakon; Attia, Zachi I.; Lopez-Jimenez, Francisco; Leon, David A.; Wilsgaard, Tom (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-31)
      Background and purpose - A heart age biomarker has been developed using deep neural networks applied to electrocardiograms. Whether this biomarker is associated with cognitive function was investigated.<p> <p>Methods - Using 12-lead electrocardiograms, heart age was estimated for a population-based sample (N = 7779, age 40–85 years, 45.3% men). Associations between heart delta age (HDA) and ...