Lithuanian University of Health Sciences Research Management System (CRIS)
 
Use this url to cite publication: https://hdl.handle.net/20.500.12512/97200

Clinical resource effective classification of remote complications of gestational diabetes

Type of publication
Konferencijų tezės nerecenzuojamame leidinyje / Conference theses in non-peer-reviewed publication (T2)
Author(s)
AuthorAffiliation
Marozas, Mindaugas
Title
Clinical resource effective classification of remote complications of gestational diabetes
Mindaugas Marozas, Sergej Sosunkevič, Miglė Francaitė-Daugėlienė, Džilda Veličkienė, Arūnas Lukoševičius
Publisher (trusted)
Lietuvos sveikatos mokslų universiteto Leidybos namai
Date Issued
Date
2018-04-13
Extent
p. 73-74.
Is part of
1st International doctoral students’ conference “Science for Health” : book of abstracts : April 13, 2018, Kaunas, Lithuania / Lithuanian university of health sciences. LSMU Department of Research Affairs. Council of LSMU Doctoral Students ; [Edited by Indrė Šveikauskaitė]. Kaunas : Lietuvos sveikatos mokslų universiteto Leidybos namai, 2018. ISBN 9789955155300.
Version
Originalus / Original
Series/Report no.
Pharmacy, biotechnology and bioengineering.
Description

ISBN 978-9955-15-530-0. Language of abstracts was not corrected.

Field of Science

Medicina / Medicine (...

Keywords (en)

Diabetes, gestational...

Abstract (en)

Introduction. Gestational diabetes mellitus (GDM) increases woman's risk to develop diabetes mellitus (DM). GDM is defined as glucose intolerance that is first diagnosed in pregnancy period, leading to possible complications for both mother and baby during pregnancy. There are limited data available about biomarkers and methods that indicate development diabetes in a long term after GDM is diagnosed. The aim. The aim of this study was to buid an objective method to evaluate remote GDM complications and find most informative indicators for developing DM. Material and methods. Over 15 year old clinical data including demographic, lifestyle, clinical, genetic and pregnancy related data were collected that carries valuable information about possible evolving complications. [...].

Type of document
type::text::conference output::conference proceedings::conference paper
ISBN (of the container)
9789955155300
Other Identifier(s)
(LSMU ALMA)990000952110107106
Coverage Spatial
Lietuva / Lithuania (LT)
Language
Anglų / English (en)
URI
URI
https://hdl.handle.net/20.500.12512/97200
Affiliation(s)