Literature DB >> 24423342

The diagnostic and prognostic performance of a selective screening strategy for gestational diabetes mellitus according to ethnicity in Europe.

Emmanuel Cosson1, Camille Cussac-Pillegand, Amélie Benbara, Isabelle Pharisien, Yahya Jaber, Isabela Banu, Minh Tuan Nguyen, Paul Valensi, Lionel Carbillon.   

Abstract

CONTEXT: The performance of standard selective screening strategies for gestational diabetes mellitus (GDM) may vary according to ethnicity.
OBJECTIVE: We aimed to evaluate the diagnostic and prognostic performance of a selective screening tool to determine whether it accurately predicts GDM and events in women of different ethnicities. The tool selectively screens based on patients having one or more of the following risk factors (RFs): body mass index ≥25 kg/m(2), age ≥35 years, family history of diabetes, and personal history of GDM or macrosomia. DESIGN AND
SETTING: We conducted an observational prospective study at a university hospital. PARTICIPANTS: We included 17 344 women of European (30.9%), North African (29.6%), Sub-Saharan African (22.2%), Caribbean (8.7%), Indian-Pakistani-Sri Lankan (5.5%), and Asian (3.3%) ethnicities who were without pregravid diabetes and had singleton deliveries (2002-2010). MAIN OUTCOME MEASURES: We universally screened GDM and GDM-related events (pre-eclampsia, birth weight ≥4000 g, or dystocia).
RESULTS: Independent of confounding factors, North African (odds ratio [OR], 1.35; 95% confidence interval [CI], 1.21-1.52; P < .001) and Indian-Pakistani-Sri Lankan (OR, 2.52; 95% CI, 2.13-3.00; P < .001) women had more GDM than Europeans, whereas Sub-Saharan African women had less (OR, 0.82; 95% CI, 0.71-0.94; P < .01). Having one or more RFs was associated with GDM among Europeans (OR, 1.45; 95% CI, 1.22-1.76), North African (OR, 1.33; 95% CI, 1.13-1.55), Sub-Saharan African (OR, 1.48; 95% CI, 1.20-1.83), and Caribbean (OR, 1.55; 95% CI, 1.12-2.14) women. Having one or more RFs was also associated with GDM-related events only in European (P < .01) and North African (P < .05) women, with the following incidences in Europeans: no GDM/no RF, 6.9%; no GDM/RF, 9.0%; GDM/no RF, 14.7%; and GDM/RF, 12.6%.
CONCLUSION: Standard selective screening criteria were not predictive of GDM in women from India-Pakistan-Sri Lanka and Asia and were associated with GDM-related events only in European and North African women. However, the women with GDM, who were routinely treated, had a poor prognosis, even for those free of RFs. These results support universal screening, irrespective of ethnicity.

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Year:  2014        PMID: 24423342     DOI: 10.1210/jc.2013-3383

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  5 in total

1.  The perinatal health of immigrant women in France: a nationally representative study.

Authors:  Fabienne El-Khoury Lesueur; Anne-Laure Sutter-Dallay; Lidia Panico; Elie Azria; Judith Van der Waerden; Nolwenn Regnault Vauvillier; Marie-Aline Charles; Maria Melchior
Journal:  Int J Public Health       Date:  2018-08-10       Impact factor: 3.380

Review 2.  Diagnostic Strategies for Gestational Diabetes Mellitus: Review of Current Evidence.

Authors:  Chun-Heng Kuo; Hung-Yuan Li
Journal:  Curr Diab Rep       Date:  2019-12-04       Impact factor: 4.810

3.  Psychosocial deprivation in women with gestational diabetes mellitus is associated with poor fetomaternal prognoses: an observational study.

Authors:  Emmanuel Cosson; Hélène Bihan; Gérard Reach; Laurence Vittaz; Lionel Carbillon; Paul Valensi
Journal:  BMJ Open       Date:  2015-03-06       Impact factor: 2.692

4.  Does Universal Screening for Gestational Diabetes Mellitus Improve Neonatal Outcomes in a Socially Vulnerable Population: A Prospective Study in French Guiana.

Authors:  Loic Leonco; Hatem Kallel; Mathieu Nacher; Liliane Thelusme; Maryvonne Dueymes; Raoudha Mhiri; Marie Laure Lalanne-Mistrih; Nadia Sabbah
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-21       Impact factor: 5.555

5.  Fine-tuning of Genome-Wide Polygenic Risk Scores and Prediction of Gestational Diabetes in South Asian Women.

Authors:  Amel Lamri; Shihong Mao; Dipika Desai; Milan Gupta; Guillaume Paré; Sonia S Anand
Journal:  Sci Rep       Date:  2020-06-02       Impact factor: 4.379

  5 in total

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