Blar i NTNU Open på forfatter "Laivuori, Hannele"

Viser treff 21-24 av 24

    • Pregnancy outcomes according to the definition of gestational diabetes 

      Koivunen, Sanna; Viljakainen, Matti; Männistö, Tuija; Gissler, Mika; Pouta, Anneli; Kaaja, Risto; Eriksson, Johan G.; Laivuori, Hannele; Kajantie, Eero Olavi; Vääräsmäki, Marja (Peer reviewed; Journal article, 2020)
      Objective To assess the frequency and perinatal outcomes of gestational diabetes mellitus (GDM) defined by the criteria according to the International Association of Diabetes in Pregnancy Study Group (IADPSG) and the ...

    • Reliability of a novel approach for reference-based cell type estimation in human placental DNA methylation studies 

      Dieckmann, Linda; Cruceanu, Cristiana; Lahti-Pulkkinen, Marius; Lahti, Jari; Kvist, Tuomas; Laivuori, Hannele; Sammallahti, Sara; Villa, Pia M.; Suomalainen-König, Sanna; Rancourt, Rebecca C.; Plagemann, Andreas; Henrich, Wolfgang; Eriksson, Johan G.; Kajantie, Eero Olavi; Entringer, Sonja; Braun, Thorsten; Räikkönen, Katri; Binder, Elisabeth B.; Czamara, Darina (Peer reviewed; Journal article, 2022)
      The placenta is a central organ during early development, influencing trajectories of health and disease. DNA methylation (DNAm) studies of human placenta improve our understanding of how its function relates to disease ...

    • Serum ceramides in early pregnancy as predictors of gestational diabetes 

      Mustaniemi, Sanna; Keikkala, Elina; Kajantie, Eero Olavi; Nurhonen, Markku; Jylhä, Antti; Morin-Papunen, Laure; Öhman, Hanna; Männistö, Tuija; Laivuori, Hannele; Eriksson, Johan G.; Laaksonen, Reijo; Vääräsmäki, Marja; Kaaja, Risto; Gissler, Mika; Pouta, Anneli (Peer reviewed; Journal article, 2023)
      Ceramides contribute to the development of type 2 diabetes but it is uncertain whether they predict gestational diabetes (GDM). In this multicentre case–control study including 1040 women with GDM and 958 non-diabetic ...

    • Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis 

      Allotey, John; Snell, Kym I.E.; Smuk, Melanie; Hooper, Richard; Chan, Claire; Ahmed, Asif; Chappell, Lucy C.; von Dadelszen, Peter; Dodds, Julie; Green, Marcus; Kenny, Louise; Khalil, Asma; Khan, Khalid S.; Mol, Ben W.; Myers, Jenny; Poston, Lucilla; Thilaganathan, Basky; Staff, Anne Cathrine; Smith, Gordon C.S.; Ganzevoort, Wessel; Laivuori, Hannele; Odibo, Anthony O.; Ramírez, Javier A.; Kingdom, John; Daskalakis, George; Farrar, Diane; Baschat, AA; Seed, PT; Prefumo, F; da Silva Costa, F; Groen, H; Audibert, F; Masse, J; Skråstad, Ragnhild Bergene; Salvesen, Kjell Å; Haavaldsen, Camilla; Nagata, C; Rumbold, Alice R.; Heinonen, Seppo; Askie, LM; Smits, LJ; Vinter, CA; Magnus, Per; Kajantie, Eero Olavi; Villa, PM; Jenum, Anne Karen; Andersen, LB; Norman, JE; Ohkuchi, A; Eskild, Anne; Bhattacharya, Sohinee; McAuliffe, Fionnuala M.; Galindo, Alberto; Herraiz, Ignacio; Carbillon, , Lionel; Klipstein-Grobusch, Kerstin; Yeo, SeonAe; Teede, Helena J.; Browne, Joyce L; Moons, Karel G.M.; Riley, Richard D; Thangaratinam, Shakila (Peer reviewed; Journal article, 2020)
      Background: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk is needed to plan management. Objectives: To assess the performance of existing pre-eclampsia ...