Identifying women with gestational diabetes based on maternal characteristics: an analysis of four Norwegian prospective studies

被引:11
作者
Rai, Anam Shakil [1 ]
Sletner, Line [2 ,3 ]
Jenum, Anne Karen [4 ]
Overby, Nina Cecilie [5 ]
Stafne, Signe Nilssen [6 ,7 ]
Lekva, Tove [8 ]
Pripp, Are Hugo [9 ]
Sagedal, Linda Reme [1 ,10 ]
机构
[1] Sorlandet Hosp, Dept Res, N-4604 Kristiansand, Norway
[2] Akershus Univ Hosp, Dept Pediat & Adolescents Med, Akershus, Norway
[3] Univ Oslo, Inst Clin Med, Oslo, Norway
[4] Univ Oslo, Inst Hlth & Soc, Dept Gen Med, Gen Practice Res Unit AFE, Oslo, Norway
[5] Univ Agder, Fac Hlth & Sport Sci, Dept Nutr & Publ Hlth, Kristiansand, Norway
[6] Norwegian Univ Sci & Technol NTNU, Fac Hlth & Nursing, Trondheim, Norway
[7] St Olavs Hosp Trondheim Univ Hosp, Dept Clin Serv, Trondheim, Norway
[8] Oslo Univ Hosp, Res Inst Internal Med, Oslo, Norway
[9] Oslo Univ Hosp, Oslo Ctr Biostat & Epidemiol, Res Support Serv, Oslo, Norway
[10] Sorlandet Hosp, Dept Obstet & Gynaecol, Kristiansand, Norway
关键词
Gestational diabetes mellitus; Pre pregnancy BMI; Pregnancy; Screening; Diagnostic criteria; PHYSICAL-ACTIVITY; EUROPEAN BOARD; MELLITUS; PREGNANCY; PREVALENCE; RISK; POPULATION; GYNECOLOGY; OBSTETRICS; HYPERGLYCEMIA;
D O I
10.1186/s12884-021-04086-9
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Background There is still no worldwide agreement on the best diagnostic thresholds to define gestational diabetes (GDM) or the optimal approach for identifying women with GDM. Should all pregnant women perform an oral glucose tolerance test (OGTT) or can easily available maternal characteristics, such as age, BMI and ethnicity, indicate which women to test? The aim of this study was to assess the prevalence of GDM by three diagnostic criteria and the predictive accuracy of commonly used risk factors. Methods We merged data from four Norwegian cohorts (2002-2013), encompassing 2981 women with complete results from a universally offered OGTT. Prevalences were estimated based on the following diagnostic criteria: 1999WHO (fasting plasma glucose (FPG) >= 7.0 or 2-h glucose >= 7.8 mmol/L), 2013WHO (FPG >= 5.1 or 2-h glucose >= 8.5 mmol/L), and (2017)Norwegian (FPG >= 5.3 or 2-h glucose >= 9 mmol/L). Multiple logistic regression models examined associations between GDM and maternal factors. We applied the 2013WHO and (2017)Norwegian criteria to evaluate the performance of different thresholds of age and BMI. Results The prevalence of GDM was 10.7, 16.9 and 10.3%, applying the 1999WHO, 2013WHO, and the (2017)Norwegian criteria, respectively, but was higher for women with non-European background when compared to European women (14.5 vs 10.2%, 37.7 vs 13.8% and 27.0 vs 7.8%). While advancing age and elevated BMI increased the risk of GDM, no risk factors, isolated or in combination, could identify more than 80% of women with GDM by the latter two diagnostic criteria, unless at least 70-80% of women were offered an OGTT. Using the (2017)Norwegian criteria, the combination "age >= 25 years or BMI >= 25 kg/m(2)" achieved the highest sensitivity (96.5%) with an OGTT required for 93% of European women. The predictive accuracy of risk factors for identifying GDM was even lower for non-European women. Conclusions The prevalence of GDM was similar using the 1999WHO and (2017)Norwegian criteria, but substantially higher with the 2013WHO criteria, in particular for ethnic non-European women. Using clinical risk factors such as age and BMI is a poor pre-diagnostic screening method, as this approach failed to identify a substantial proportion of women with GDM unless at least 70-80% were tested.
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页数:12
相关论文
共 32 条
[11]   Prevalence of gestational diabetes mellitus in Europe: A meta-analysis [J].
Eades, Claire E. ;
Cameron, Dawn M. ;
Evans, Josie M. M. .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2017, 129 :173-181
[12]  
ElSayed NA, 2023, DIABETES CARE, V46, pS19, DOI [10.2337/dc23-S002, 10.2337/dc19-S002, 10.2337/dc18-S002, 10.2337/dc09-S062, 10.2337/dc12-S064]
[13]   Risk factor screening to identify women requiring oral glucose tolerance testing to diagnose gestational diabetes: A systematic review and meta-analysis and analysis of two pregnancy cohorts [J].
Farrar, Diane ;
Simmonds, Mark ;
Bryant, Maria ;
Lawlor, Debbie A. ;
Dunne, Fidelma ;
Tuffnell, Derek ;
Sheldon, Trevor A. .
PLOS ONE, 2017, 12 (04)
[14]   Shape information from glucose curves: Functional data analysis compared with traditional summary measures [J].
Froslie, Kathrine Frey ;
Roislien, Jo ;
Qvigstad, Elisabeth ;
Godang, Kristin ;
Bollerslev, Jens ;
Voldner, Nanna ;
Henriksen, Tore ;
Veierod, Marit B. .
BMC MEDICAL RESEARCH METHODOLOGY, 2013, 13
[15]   Global estimates of the prevalence of hyperglycaemia in pregnancy [J].
Guariguata, L. ;
Linnenkamp, U. ;
Beagley, J. ;
Whiting, D. R. ;
Cho, N. H. .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2014, 103 (02) :176-185
[16]   Benefits and Harms of Treating Gestational Diabetes Mellitus: A Systematic Review and Meta-analysis for the US Preventive Services Task Force and the National Institutes of Health Office of Medical Applications of Research [J].
Hartling, Lisa ;
Dryden, Donna M. ;
Guthrie, Alyssa ;
Muise, Melanie ;
Vandermeer, Ben ;
Donovan, Lois .
ANNALS OF INTERNAL MEDICINE, 2013, 159 (02) :123-W51
[17]  
Hod M, 2015, INT J GYNECOL OBSTET, V131, pS173, DOI [10.1016/S0020-7292(15)30033-3, 10.1016/S0020-7292(15)30007-2]
[18]   The STORK Groruddalen research programme: A population-based cohort study of gestational diabetes, physical activity, and obesity in pregnancy in a multiethnic population. Rationale, methods, study population, and participation rates [J].
Jenum, Anne K. ;
Sletner, Line ;
Voldner, Nanna ;
Vangen, Siri ;
Morkrid, Kjersti ;
Andersen, Lene F. ;
Nakstad, Britt ;
Skrivarhaug, Torild ;
Rognerud-Jensen, Odd-Harald ;
Roald, Borghild ;
Birkeland, Kare I. .
SCANDINAVIAN JOURNAL OF PUBLIC HEALTH, 2010, 38 :60-70
[19]  
Landon MB., 2010, OBSTET ANESTH DIG, V30, P232, DOI [10.1097/01.aoa.0000389610.71133.ee, DOI 10.1097/01.AOA.0000389610.71133.EE]
[20]   Maternal age over 40 years and pregnancy outcome: a hospital-based survey [J].
Marozio, Luca ;
Picardo, Elisa ;
Filippini, Claudia ;
Mainolfi, Erika ;
Berchialla, Paola ;
Cavallo, Franco ;
Tancredi, Annalisa ;
Benedetto, Chiara .
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 2019, 32 (10) :1602-1608