Gestational diabetes: risk of recurrence in subsequent pregnancies

Getahun, Darios; Fassett, Michael J.; Jacobsen, Steven J.

doi:10.1016/j.ajog.2010.05.032

Cited by 145 publications

(113 citation statements)

References 33 publications

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“…[1][2][3][4][5][6][7][8][9] In some cases, these data may be augmented by comprehensive inpatient and outpatient progress notes, radiologic images, and reports. [10][11][12] These features facilitate researchers in performing studies of health disparities, long-term patient outcomes, and comparative effectiveness in a timely and cost-efficient manner.…”

Section: Introductionmentioning

confidence: 99%

Sociodemographic Characteristics of Members of a Large, Integrated Health Care System: Comparison with US Census Bureau Data

Koebnick

Langer‐Gould²,

Gould³

et al. 2012

TPJ

690

475

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Background: Data from the memberships of large, integrated health care systems can be valuable for clinical, epidemiologic, and health services research, but a potential selection bias may threaten the inference to the population of interest.Methods: We reviewed administrative records of members of Kaiser Permanente Southern California (KPSC) in 2000 and 2010, and we compared their sociodemographic characteristics with those of the underlying population in the coverage area on the basis of US Census Bureau data.Results: We identified 3,328,579 KPSC members in 2000 and 3,357,959 KPSC members in 2010, representing approximately 16% of the population in the coverage area. The distribution of sex and age of KPSC members appeared to be similar to the census reference population in 2000 and 2010 except with a slightly higher proportion of 40 to 64 year olds. The proportion of Hispanics/Latinos was comparable between KPSC and the census reference population (37.5% vs 38.2%, respectively, in 2000 and 45.2% vs 43.3% in 2010). However, KPSC members included more blacks (14.9% vs 7.0% in 2000 and 10.8% vs 6.5% in 2010). Neighborhood educational levels and neighborhood household incomes were generally similar between KPSC members and the census reference population, but with a marginal underrepresentation of individuals with extremely low income and high education.Conclusions: The membership of KPSC reflects the socioeconomic diversity of the Southern California census population, suggesting that findings from this setting may provide valid inference for clinical, epidemiologic, and health services research.

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Section: Introductionmentioning

confidence: 99%

Sociodemographic Characteristics of Members of a Large, Integrated Health Care System: Comparison with US Census Bureau Data

Koebnick

Langer‐Gould²,

Gould³

et al. 2012

TPJ

690

475

View full text Add to dashboard Cite

show abstract

“…In the event of the former, it is the genetic predisposition and the suboptimal lifestyle that lead to the development of DM type 2 and not the pregnancy itself. 6,7 These women with a history of GDM have up to a 60% likelihood [8][9][10] of developing GDM in a Figure 1. Production and action of insulin during the lifespan of a woman.…”

Section: Pathophysiologymentioning

confidence: 99%

Comments on gestational diabetes mellitus: from pathophysiology to clinical practice

Poulakos¹,

Mintziori²,

Tsirou³

et al. 2015

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Gestational diabetes mellitus (GDM) is a topic of major interest, as it affects up to 16% of pregnant women and may lead to adverse pregnancy outcomes, which, however, are preventable by appropriate treatment. The aim of the present study was to discuss basic concepts and to critically appraise recent updates on practical issues in the field of GDM. GDM pathophysiology, long-term complications including "fetal programming" and GDM diagnosis are discussed, while clinical practice guidelines on follow-up, medical nutrition therapy, oral hypoglycemic agents and insulin treatment are also reviewed. GDM comprises a serious yet preventable public health problem and prevention by lifestyle changes, early detection and adequate treatment can lead to better health outcomes for both mothers with GDM and their offspring.

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“…Women with GDM have a 41 % recurrence rate of developing GDM in subsequent pregnancies and a 16.2 % incidence of overt type 2 DM in later years of life [8,9].…”

Section: Introductionmentioning

confidence: 99%

50 Grams Oral Glucose Challenge Test: Is It an Effective Screening Test for Gestational Diabetes Mellitus?

Abu-Heija

Al-Bash

Ishrat

et al. 2015

J Obstet Gynecol India

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Aim To find out whether 50 g oral glucose challenge test (OGCT) is an effective screening test for all pregnant women between 24 and 28 weeks gestation. Method A 50 g OGCT test was administered to 307 unselected women at 24-28 weeks of gestation. When venous plasma glucose (VPG) concentration after 1 h was [7.8 mmol/l, OGCT was positive. Women with a positive OGCT underwent 2 h 75 grams oral glucose tolerance test (OGTT) as a confirmatory diagnosis of GDM. When fasting and 2 h post 75 g OGTT values were [5.5 mmol/I and [8 mmol/l, respectively, women were considered diabetic. Results We screened 307 women for GDM by OGCT. Total number of women with positive OGCT was 83 (27.03 %). In the low-risk group, total number of women with GDM was 9/168 (5.35 %) while the total number of women with GDM in the high-risk group was 14/139 (10.07 %). There was no significant difference with respect to the total number of women with GDM in the groups. Conclusions A 50 g OGCT seems to be an effective screening test for both groups. More cases of GDM can be discovered when universal rather than risk-related screening is applied.

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Gestational diabetes: risk of recurrence in subsequent pregnancies

Cited by 145 publications

References 33 publications

Sociodemographic Characteristics of Members of a Large, Integrated Health Care System: Comparison with US Census Bureau Data

Sociodemographic Characteristics of Members of a Large, Integrated Health Care System: Comparison with US Census Bureau Data

Comments on gestational diabetes mellitus: from pathophysiology to clinical practice

50 Grams Oral Glucose Challenge Test: Is It an Effective Screening Test for Gestational Diabetes Mellitus?

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