Estimating the risk of gestational diabetes mellitus based on the 2013 WHO criteria: a prediction model based on clinical and biochemical variables in early pregnancy | Zendy

Katrien Benhalima | Zendy; Paul Van Crombrugge | Zendy; Carolien Moyson | Zendy; Johan Verhaeghe | Zendy; Sofie Vandeginste | Zendy; Hilde Verlaenen | Zendy; Chris Vercammen | Zendy; Toon Maes | Zendy; Els Dufraimont | Zendy; Christophe De Block | Zendy; Yves Jacquemyn | Zendy; Farah Mekahli | Zendy; Katrien De Clippel | Zendy; Annick Van den Bruel | Zendy; Anne Loccufier | Zendy; Annouschka Laenen | Zendy; Caro Minschart | Zendy; Roland Devlieger | Zendy; Chantal Mathieu | Zendy

Open Access

Estimating the risk of gestational diabetes mellitus based on the 2013 WHO criteria: a prediction model based on clinical and biochemical variables in early pregnancy

Author(s) -

Katrien Benhalima,

Paul Van Crombrugge,

Carolien Moyson,

Johan Verhaeghe,

Sofie Vandeginste,

Hilde Verlaenen,

Chris Vercammen,

Toon Maes,

Els Dufraimont,

Christophe De Block,

Yves Jacquemyn,

Farah Mekahli,

Katrien De Clippel,

Annick Van den Bruel,

Anne Loccufier,

Annouschka Laenen,

Caro Minschart,

Roland Devlieger,

Chantal Mathieu

Publication year - 2020

Publication title -

acta diabetologica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.141

H-Index - 67

eISSN - 1432-5233

pISSN - 0940-5429

DOI - 10.1007/s00592-019-01469-5

Subject(s) - gestational diabetes , medicine , confidence interval , receiver operating characteristic , logistic regression , diabetes mellitus , obstetrics , pregnancy , area under the curve , gestation , endocrinology , genetics , biology

We aimed to develop a prediction model based on clinical and biochemical variables for gestational diabetes mellitus (GDM) based on the 2013 World Health Organization (WHO) criteria.

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