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在丹麦国家出生队列中诊断妊娠期糖尿病

Diagnosing gestational diabetes mellitus in the Danish National Birth Cohort.

作者信息

Olsen Sjurdur F, Houshmand-Oeregaard Azedeh, Granström Charlotta, Langhoff-Roos Jens, Damm Peter, Bech Bodil H, Vaag Allan A, Zhang Cuilin

机构信息

Centre for Fetal Programming, Department of Epidemiology Research, State Serum Institute, Copenhagen, Denmark.

Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA.

出版信息

Acta Obstet Gynecol Scand. 2017 May;96(5):563-569. doi: 10.1111/aogs.13083. Epub 2017 Feb 9.

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.

摘要

引言

丹麦国家出生队列(DNBC)包含了孕妇孕期饮食、生活方式、体质及其他主要特征的全面信息。它为研究妊娠期糖尿病的健康后果提供了独特的资源。我们的目的是在该队列中识别并验证妊娠期糖尿病病例。

材料与方法

我们从丹麦国家出生队列中纳入的1609例妊娠的医院记录中提取临床信息,这些妊娠在丹麦国家患者登记处登记有孕期或孕前糖尿病诊断,和/或在孕期接受了丹麦国家出生队列访谈。我们进一步对从整个丹麦国家出生队列中随机选取的2126例妊娠的妊娠期糖尿病诊断进行了验证。由一个专家小组根据口服葡萄糖耐量试验结果、空腹血糖和糖化血红蛋白值以及当地产科医生的诊断,从个体医院记录中评估妊娠期糖尿病状态。

结果

审核将783例妊娠归类为妊娠期糖尿病,占87792例有孕期自我报告糖尿病妊娠访谈的妊娠的0.89%。在随机选取的组中,登记处和访谈的综合信息能够正确识别整个丹麦国家出生队列人群中所有病例的96%(95%可信区间80 - 99.9%)。然而,阳性预测值仅为59%(56 - 61%)。

结论

登记处和访谈数据的联合使用对妊娠期糖尿病诊断具有高敏感性。然而,低阳性预测值表明,在未来研究中通过医院记录审查进行系统验证对于不低估妊娠期糖尿病的健康后果至关重要。

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