Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort

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Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort. / Olsen, Sjurdur F; Houshmand-Oeregaard, Azedeh; Granström, Charlotta; Langhoff-Roos, Jens; Damm, Peter; Bech, Bodil H; Vaag, Allan A; Zhang, Cuilin.

I: Acta Obstetricia et Gynecologica Scandinavica, Bind 96, Nr. 5, 05.2017, s. 563-569.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Olsen, SF, Houshmand-Oeregaard, A, Granström, C, Langhoff-Roos, J, Damm, P, Bech, BH, Vaag, AA & Zhang, C 2017, 'Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort', Acta Obstetricia et Gynecologica Scandinavica, bind 96, nr. 5, s. 563-569. https://doi.org/10.1111/aogs.13083

APA

Olsen, S. F., Houshmand-Oeregaard, A., Granström, C., Langhoff-Roos, J., Damm, P., Bech, B. H., Vaag, A. A., & Zhang, C. (2017). Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort. Acta Obstetricia et Gynecologica Scandinavica, 96(5), 563-569. https://doi.org/10.1111/aogs.13083

Vancouver

Olsen SF, Houshmand-Oeregaard A, Granström C, Langhoff-Roos J, Damm P, Bech BH o.a. Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort. Acta Obstetricia et Gynecologica Scandinavica. 2017 maj;96(5):563-569. https://doi.org/10.1111/aogs.13083

Author

Olsen, Sjurdur F ; Houshmand-Oeregaard, Azedeh ; Granström, Charlotta ; Langhoff-Roos, Jens ; Damm, Peter ; Bech, Bodil H ; Vaag, Allan A ; Zhang, Cuilin. / Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort. I: Acta Obstetricia et Gynecologica Scandinavica. 2017 ; Bind 96, Nr. 5. s. 563-569.

Bibtex

@article{1520a3474dd54056b10f4927d5a67c38,
title = "Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort",
abstract = "INTRODUCTION: The Danish National Birth Cohort (DNBC) contains comprehensive information on diet, lifestyle, constitutional and other major characteristics of women during pregnancy. It provides a unique source for studies on health consequences of gestational diabetes mellitus. Our aim was to identify and validate the gestational diabetes mellitus cases in the cohort.MATERIAL AND METHODS: We extracted clinical information from hospital records for 1609 pregnancies included in the Danish National Birth Cohort with a diagnosis of diabetes during or before pregnancy registered in the Danish National Patient Register and/or from a Danish National Birth Cohort interview during pregnancy. We further validated the diagnosis of gestational diabetes mellitus in 2126 randomly selected pregnancies from the entire Danish National Birth Cohort. From the individual hospital records, an expert panel evaluated gestational diabetes mellitus status based on results from oral glucose tolerance tests, fasting blood glucose and Hb1c values, as well as diagnoses made by local obstetricians.RESULTS: The audit categorized 783 pregnancies as gestational diabetes mellitus, corresponding to 0.89% of the 87 792 pregnancies for which a pregnancy interview for self-reported diabetes in pregnancy was available. From the randomly selected group the combined information from register and interviews could correctly identify 96% (95% CI 80-99.9%) of all cases in the entire Danish National Birth Cohort population. Positive predictive value, however, was only 59% (56-61%).CONCLUSIONS: The combined use of data from register and interview provided a high sensitivity for gestational diabetes mellitus diagnosis. The low positive predictive value, however, suggests that systematic validation by hospital record review is essential not to underestimate the health consequences of gestational diabetes mellitus in future studies.",
keywords = "Cohort Studies, Denmark, Diabetes, Gestational, Female, Humans, Interviews as Topic, Mass Screening, Pregnancy, Prenatal Diagnosis, Registries, Sensitivity and Specificity, Journal Article, Validation Studies",
author = "Olsen, {Sjurdur F} and Azedeh Houshmand-Oeregaard and Charlotta Granstr{\"o}m and Jens Langhoff-Roos and Peter Damm and Bech, {Bodil H} and Vaag, {Allan A} and Cuilin Zhang",
note = "{\textcopyright} 2016 Nordic Federation of Societies of Obstetrics and Gynecology.",
year = "2017",
month = may,
doi = "10.1111/aogs.13083",
language = "English",
volume = "96",
pages = "563--569",
journal = "Acta Obstetricia et Gynecologica Scandinavica",
issn = "0001-6349",
publisher = "JohnWiley & Sons Ltd",
number = "5",

}

RIS

TY - JOUR

T1 - Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort

AU - Olsen, Sjurdur F

AU - Houshmand-Oeregaard, Azedeh

AU - Granström, Charlotta

AU - Langhoff-Roos, Jens

AU - Damm, Peter

AU - Bech, Bodil H

AU - Vaag, Allan A

AU - Zhang, Cuilin

N1 - © 2016 Nordic Federation of Societies of Obstetrics and Gynecology.

PY - 2017/5

Y1 - 2017/5

N2 - INTRODUCTION: The Danish National Birth Cohort (DNBC) contains comprehensive information on diet, lifestyle, constitutional and other major characteristics of women during pregnancy. It provides a unique source for studies on health consequences of gestational diabetes mellitus. Our aim was to identify and validate the gestational diabetes mellitus cases in the cohort.MATERIAL AND METHODS: We extracted clinical information from hospital records for 1609 pregnancies included in the Danish National Birth Cohort with a diagnosis of diabetes during or before pregnancy registered in the Danish National Patient Register and/or from a Danish National Birth Cohort interview during pregnancy. We further validated the diagnosis of gestational diabetes mellitus in 2126 randomly selected pregnancies from the entire Danish National Birth Cohort. From the individual hospital records, an expert panel evaluated gestational diabetes mellitus status based on results from oral glucose tolerance tests, fasting blood glucose and Hb1c values, as well as diagnoses made by local obstetricians.RESULTS: The audit categorized 783 pregnancies as gestational diabetes mellitus, corresponding to 0.89% of the 87 792 pregnancies for which a pregnancy interview for self-reported diabetes in pregnancy was available. From the randomly selected group the combined information from register and interviews could correctly identify 96% (95% CI 80-99.9%) of all cases in the entire Danish National Birth Cohort population. Positive predictive value, however, was only 59% (56-61%).CONCLUSIONS: The combined use of data from register and interview provided a high sensitivity for gestational diabetes mellitus diagnosis. The low positive predictive value, however, suggests that systematic validation by hospital record review is essential not to underestimate the health consequences of gestational diabetes mellitus in future studies.

AB - INTRODUCTION: The Danish National Birth Cohort (DNBC) contains comprehensive information on diet, lifestyle, constitutional and other major characteristics of women during pregnancy. It provides a unique source for studies on health consequences of gestational diabetes mellitus. Our aim was to identify and validate the gestational diabetes mellitus cases in the cohort.MATERIAL AND METHODS: We extracted clinical information from hospital records for 1609 pregnancies included in the Danish National Birth Cohort with a diagnosis of diabetes during or before pregnancy registered in the Danish National Patient Register and/or from a Danish National Birth Cohort interview during pregnancy. We further validated the diagnosis of gestational diabetes mellitus in 2126 randomly selected pregnancies from the entire Danish National Birth Cohort. From the individual hospital records, an expert panel evaluated gestational diabetes mellitus status based on results from oral glucose tolerance tests, fasting blood glucose and Hb1c values, as well as diagnoses made by local obstetricians.RESULTS: The audit categorized 783 pregnancies as gestational diabetes mellitus, corresponding to 0.89% of the 87 792 pregnancies for which a pregnancy interview for self-reported diabetes in pregnancy was available. From the randomly selected group the combined information from register and interviews could correctly identify 96% (95% CI 80-99.9%) of all cases in the entire Danish National Birth Cohort population. Positive predictive value, however, was only 59% (56-61%).CONCLUSIONS: The combined use of data from register and interview provided a high sensitivity for gestational diabetes mellitus diagnosis. The low positive predictive value, however, suggests that systematic validation by hospital record review is essential not to underestimate the health consequences of gestational diabetes mellitus in future studies.

KW - Cohort Studies

KW - Denmark

KW - Diabetes, Gestational

KW - Female

KW - Humans

KW - Interviews as Topic

KW - Mass Screening

KW - Pregnancy

KW - Prenatal Diagnosis

KW - Registries

KW - Sensitivity and Specificity

KW - Journal Article

KW - Validation Studies

U2 - 10.1111/aogs.13083

DO - 10.1111/aogs.13083

M3 - Journal article

C2 - 28027410

VL - 96

SP - 563

EP - 569

JO - Acta Obstetricia et Gynecologica Scandinavica

JF - Acta Obstetricia et Gynecologica Scandinavica

SN - 0001-6349

IS - 5

ER -

ID: 185875912