Skip to main content
Top
Published in: Diabetology & Metabolic Syndrome 1/2020

01-12-2020 | Gestational Diabetes | Research

Maternal factors associated with hyperglycemia in pregnancy and perinatal outcomes: a Brazilian reference center cohort study

Authors: Bianca F. Nicolosi, Joice M. Vernini, Roberto A. Costa, Claudia G. Magalhães, Marilza V. C. Rudge, José E. Corrente, Jose G. Cecatti, Iracema M. P. Calderon

Published in: Diabetology & Metabolic Syndrome | Issue 1/2020

Login to get access

Abstract

Background

While sufficient evidence supporting universal screening is not available, it is justifiable to look for specific risk factors for gestational diabetes mellitus (GDM) or hyperglycemia in pregnancy (HIP). The objective of this study is to identify independent risk factors for HIP and its adverse perinatal outcomes in a Brazilian public referral center.

Methods

We included 569 singleton pregnant women who were split into three groups by glucose status: GDM (n = 207), mild gestational hyperglycemia (MGH; n = 133), and control (n = 229). Women who used corticosteroids or had a history of DM were excluded. HIP comprised both GDM and MGH, diagnosed by a 100 g- or 75 g-oral glucose tolerance test (OGTT) and a glucose profile at 24–28 weeks. Maternal characteristics were tested for their ability to predict HIP and its outcomes. Bivariate analysis (RR; 95% CI) was used to identify potential associations. Logistic regression (RRadj; 95% CI) was used to confirm the independent risk factors for HIP and its perinatal outcomes (p < 0.05).

Results

Age ≥ 25 years [1.83, 1.12–2.99], prepregnancy BMI ≥ 25 kg/m2 [2.88, 1.89–4.39], family history of DM [2.12, 1.42–3.17] and multiparity [2.07, 1.27–3.37] were independent risk factors for HIP. Family history of DM [169, 1.16–2.16] and hypertension [2.00, 1.36–2.98] were independent risk factors for C-section. HbA1c ≥ 6.0% at birth was an independent risk factor for LGA [1.99, 1.05–3.80], macrosomia [2.43, 1.27–4.63], and birthweight Z-score > 2.0 [4.17, 1.57–11.10].

Conclusions

MGH presents adverse pregnancy outcomes similar to those observed in the GDM group but distinct from those observed in the control (no diabetes) group. In our cohort, age ≥ 25 years, prepregnancy BMI ≥ 25 kg/m2, family history of DM, and multiparity were independent risk factors for HIP, supporting the use of selective screening for this condition. These results should be validated in populations with similar characteristics in Brazil or other low- and middle-income countries.
Literature
1.
go back to reference International Association of Diabetes and Pregnancy Study Groups. Recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33(3):676–82.CrossRef International Association of Diabetes and Pregnancy Study Groups. Recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33(3):676–82.CrossRef
2.
go back to reference World Health Organization. Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy. Geneva: WHO; 2013. http://apps.who. int/iris/bitstream/10665/85975/1/WHO_NMH_MND_13.2_eng. pdf. Accessed 23 Nov 2018. World Health Organization. Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy. Geneva: WHO; 2013. http://​apps.​who. int/iris/bitstream/10665/85975/1/WHO_NMH_MND_13.2_eng. pdf. Accessed 23 Nov 2018.
3.
go back to reference Hod M, Kapur A, Sacks DA, Hadar E, Agarwal M, Di Renzo GC, Cabero Roura L, McIntyre HD, Morris JL, Divakar H. The International Federation of Gynecology and Obstetrics (FIGO) Initiative on gestational diabetes mellitus: a pragmatic guide for diagnosis, management, and care. Int J Gynaecol Obstet. 2015;131(Suppl 3):173–211.CrossRef Hod M, Kapur A, Sacks DA, Hadar E, Agarwal M, Di Renzo GC, Cabero Roura L, McIntyre HD, Morris JL, Divakar H. The International Federation of Gynecology and Obstetrics (FIGO) Initiative on gestational diabetes mellitus: a pragmatic guide for diagnosis, management, and care. Int J Gynaecol Obstet. 2015;131(Suppl 3):173–211.CrossRef
4.
go back to reference O’Sullivan EP, Avalos G, O’Reilly M, Dennedy MC, Gaffney G, Dunne F, Atlantic DIP Collaborators. Atlantic DIP: the prevalence and consequences of gestational diabetes in Ireland. Ir Med J. 2012;105(5 Suppl):13–5.PubMed O’Sullivan EP, Avalos G, O’Reilly M, Dennedy MC, Gaffney G, Dunne F, Atlantic DIP Collaborators. Atlantic DIP: the prevalence and consequences of gestational diabetes in Ireland. Ir Med J. 2012;105(5 Suppl):13–5.PubMed
5.
go back to reference Yessoufou A, Moutairou K. Maternal diabetes in pregnancy: early and long-term outcomes on the offspring and the concept of “metabolic memory”. Exp Diabetes Res. 2011;2011:1–12.CrossRef Yessoufou A, Moutairou K. Maternal diabetes in pregnancy: early and long-term outcomes on the offspring and the concept of “metabolic memory”. Exp Diabetes Res. 2011;2011:1–12.CrossRef
6.
go back to reference Malcolm J. Through the looking glass: gestational diabetes as a predictor of maternal and offspring long-term health. Diabetes Metab Res Rev. 2012;28(4):307–11.CrossRef Malcolm J. Through the looking glass: gestational diabetes as a predictor of maternal and offspring long-term health. Diabetes Metab Res Rev. 2012;28(4):307–11.CrossRef
7.
go back to reference Vrachnis N, Augoulea A, Iliodromiti Z, Lambrinoudaki I, Sifakis S, Creatsas G. Previous gestational diabetes mellitus and markers of cardiovascular risk. Int J Endocrinol. 2012;2012:1–6. Vrachnis N, Augoulea A, Iliodromiti Z, Lambrinoudaki I, Sifakis S, Creatsas G. Previous gestational diabetes mellitus and markers of cardiovascular risk. Int J Endocrinol. 2012;2012:1–6.
8.
go back to reference Rice MM, Landon MB. What we have learned about treating mild gestational diabetes mellitus. Semin Perinatol. 2016;40(5):298–302.CrossRef Rice MM, Landon MB. What we have learned about treating mild gestational diabetes mellitus. Semin Perinatol. 2016;40(5):298–302.CrossRef
9.
go back to reference Rudge MV, Peraçoli JC, Berezowski AT, Calderon IM, Brasil MA. The oral glucose tolerance test is a poor predictor of hyperglycemia during pregnancy. Braz J Med Biol Res. 1990;23(11):1079–89.PubMed Rudge MV, Peraçoli JC, Berezowski AT, Calderon IM, Brasil MA. The oral glucose tolerance test is a poor predictor of hyperglycemia during pregnancy. Braz J Med Biol Res. 1990;23(11):1079–89.PubMed
10.
go back to reference Rudge MVC, Calderon IMP, Ramos MD, Brasil MAM, Rugolo LMSS, Bossolan G, et al. Hiperglicemia materna diária diagnosticada pelo perfil glicêmico: um problema de saúde pública materno e perinatal. Rev Bras Ginecol Obstet. 2005;27(11):691–7.CrossRef Rudge MVC, Calderon IMP, Ramos MD, Brasil MAM, Rugolo LMSS, Bossolan G, et al. Hiperglicemia materna diária diagnosticada pelo perfil glicêmico: um problema de saúde pública materno e perinatal. Rev Bras Ginecol Obstet. 2005;27(11):691–7.CrossRef
11.
go back to reference Sirimarco MP, Guerra HM, Lisboa EG, Vernini JM, Cassetari BN, Costa RAA, et al. Diagnostic protocol for gestational diabetes mellitus (GDM) (IADPSG/ADA, 2011): influence on the occurrence of GDM and mild gestational hyperglycemia (MGH) and on the perinatal outcomes. Diabetol Metab Syndr. 2017;9:2 (eCollection).CrossRef Sirimarco MP, Guerra HM, Lisboa EG, Vernini JM, Cassetari BN, Costa RAA, et al. Diagnostic protocol for gestational diabetes mellitus (GDM) (IADPSG/ADA, 2011): influence on the occurrence of GDM and mild gestational hyperglycemia (MGH) and on the perinatal outcomes. Diabetol Metab Syndr. 2017;9:2 (eCollection).CrossRef
13.
go back to reference Van Leeuwen M, Opmeer BC, Zweers EJ, van Ballegooie E, ter Brugge HG, de Valk HW, et al. Estimating the risk of gestational diabetes mellitus: a clinical prediction model based on patient characteristics and medical history. BJOG. 2010;117(1):69–75.CrossRef Van Leeuwen M, Opmeer BC, Zweers EJ, van Ballegooie E, ter Brugge HG, de Valk HW, et al. Estimating the risk of gestational diabetes mellitus: a clinical prediction model based on patient characteristics and medical history. BJOG. 2010;117(1):69–75.CrossRef
14.
go back to reference Cosson E, Benbara A, Pharisien I, Nguyen M, Revaux A, Lormeau B, et al. Diagnostic and prognostic performances over 9 years of a selective screening strategy for gestational diabetes mellitus in a cohort of 18,775 subjects. Diabetes Care. 2012;36(3):598–603.CrossRef Cosson E, Benbara A, Pharisien I, Nguyen M, Revaux A, Lormeau B, et al. Diagnostic and prognostic performances over 9 years of a selective screening strategy for gestational diabetes mellitus in a cohort of 18,775 subjects. Diabetes Care. 2012;36(3):598–603.CrossRef
15.
go back to reference Trujillo J, Vigo A, Reichelt A, Duncan BB, Schmidt MI. Fasting plasma glucose to avoid a full OGTT in the diagnosis of gestational diabetes. Diabetes Res Clin Pract. 2016;105(3):322–6.CrossRef Trujillo J, Vigo A, Reichelt A, Duncan BB, Schmidt MI. Fasting plasma glucose to avoid a full OGTT in the diagnosis of gestational diabetes. Diabetes Res Clin Pract. 2016;105(3):322–6.CrossRef
16.
go back to reference Zhang C, Rawal S, Chong Y. Risk factors for gestational diabetes: is prevention possible? Diabetologia. 2016;59(7):1385–90.CrossRef Zhang C, Rawal S, Chong Y. Risk factors for gestational diabetes: is prevention possible? Diabetologia. 2016;59(7):1385–90.CrossRef
17.
go back to reference Farrar D, Simmonds M, Bryant M, et al. 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. PLoS ONE. 2017;12(4):e0175288.CrossRef Farrar D, Simmonds M, Bryant M, et al. 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. PLoS ONE. 2017;12(4):e0175288.CrossRef
18.
go back to reference American Diabetes Association. Diagnosis and classification of diabetes mellitus (position statement). Diabetes Care. 2010;33(Suppl 1):S62–9.CrossRef American Diabetes Association. Diagnosis and classification of diabetes mellitus (position statement). Diabetes Care. 2010;33(Suppl 1):S62–9.CrossRef
19.
go back to reference American Diabetes Association. Diagnosis and classification of diabetes mellitus (position statement). Diabetes Care. 2011;34(Suppl 1):S62–9.CrossRef American Diabetes Association. Diagnosis and classification of diabetes mellitus (position statement). Diabetes Care. 2011;34(Suppl 1):S62–9.CrossRef
20.
go back to reference Metzger BE, Buchanan TA, Coustan DR, de Leiva A, Dunger DB, Hadden DR, Hod M, Kitzmiller JL, Kjos SL, Oats JN, Pettitt DJ, Sacks DA, Zoupas C. Summary and recommendations of the Fifth International Workshop-Conference on Gestational Diabetes Mellitus. Diabetes Care. 2007;30(Suppl 2):S251-60. Metzger BE, Buchanan TA, Coustan DR, de Leiva A, Dunger DB, Hadden DR, Hod M, Kitzmiller JL, Kjos SL, Oats JN, Pettitt DJ, Sacks DA, Zoupas C. Summary and recommendations of the Fifth International Workshop-Conference on Gestational Diabetes Mellitus. Diabetes Care. 2007;30(Suppl 2):S251-60.
25.
go back to reference Fenton TR, Kim JH. A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMC Pediatr. 2013;13:59.CrossRef Fenton TR, Kim JH. A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMC Pediatr. 2013;13:59.CrossRef
26.
go back to reference Farrar D, Medley N, Duley L, Lawlor D. Different strategies for diagnosing gestational diabetes to improve maternal and infant health. Cochrane Database Syst Rev. 2015;1:CD007122.PubMed Farrar D, Medley N, Duley L, Lawlor D. Different strategies for diagnosing gestational diabetes to improve maternal and infant health. Cochrane Database Syst Rev. 2015;1:CD007122.PubMed
27.
go back to reference Farrar D. Hyperglycemia in pregnancy: prevalence, impact, and management challenges. Int J Women’s Health. 2016;8:519–27.CrossRef Farrar D. Hyperglycemia in pregnancy: prevalence, impact, and management challenges. Int J Women’s Health. 2016;8:519–27.CrossRef
28.
go back to reference Benaiges D, Flores-Le Roux JA, Marcelo I, Mane L, Rodriguez M, Navarro X, Chillaron JJ, Llaurado G, Gortazar L, Pedro-Botet J, et al. Is first-trimester HbA1c useful in the diagnosis of gestational diabetes? Diabetes Res Clin Pract. 2017;133:85–91.CrossRef Benaiges D, Flores-Le Roux JA, Marcelo I, Mane L, Rodriguez M, Navarro X, Chillaron JJ, Llaurado G, Gortazar L, Pedro-Botet J, et al. Is first-trimester HbA1c useful in the diagnosis of gestational diabetes? Diabetes Res Clin Pract. 2017;133:85–91.CrossRef
30.
go back to reference Landon MB, Mele L, Spong CY, Carpenter MW, Ramin SM, Casey B, et al. Eunice Kennedy Shriver National Institute of Child Health, and Human Development (NICHD) Maternal-Fetal Medicine Units (MFMU) Network. The relationship between maternal glycemia and perinatal outcome. Obstet Gynecol. 2011;117(2):218–24.CrossRef Landon MB, Mele L, Spong CY, Carpenter MW, Ramin SM, Casey B, et al. Eunice Kennedy Shriver National Institute of Child Health, and Human Development (NICHD) Maternal-Fetal Medicine Units (MFMU) Network. The relationship between maternal glycemia and perinatal outcome. Obstet Gynecol. 2011;117(2):218–24.CrossRef
31.
go back to reference Landon MB, Rice MM, Varner MW, Casey BM, Reddy UM, Wapner RJ, et al. Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units (MFMU) Network Mild gestational diabetes mellitus and long-term child health. Diabetes Care. 2015;38(3):445–52.CrossRef Landon MB, Rice MM, Varner MW, Casey BM, Reddy UM, Wapner RJ, et al. Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units (MFMU) Network Mild gestational diabetes mellitus and long-term child health. Diabetes Care. 2015;38(3):445–52.CrossRef
32.
go back to reference Dahanayaka NJ, Agampodi SB, Ranasinghe OR, et al. Inadequacy of the risk factor based approach to detect gestational diabetes mellitus. Ceylon Med J. 2012;57(1):5–9.CrossRef Dahanayaka NJ, Agampodi SB, Ranasinghe OR, et al. Inadequacy of the risk factor based approach to detect gestational diabetes mellitus. Ceylon Med J. 2012;57(1):5–9.CrossRef
33.
go back to reference Avalos GE, Owens LA, Dunne F, Collaborators AD. Applying current screening tools for gestational diabetes mellitus to a European population: is it time for change? Diabetes Care. 2013;36(10):3040–4.CrossRef Avalos GE, Owens LA, Dunne F, Collaborators AD. Applying current screening tools for gestational diabetes mellitus to a European population: is it time for change? Diabetes Care. 2013;36(10):3040–4.CrossRef
34.
go back to reference Badon SE, Zhu Y, Sridhar SB, et al. a pre-pregnancy biomarker risk score improves prediction of future gestational diabetes. J Endocr Soc. 2018;2(10):1158–69.CrossRef Badon SE, Zhu Y, Sridhar SB, et al. a pre-pregnancy biomarker risk score improves prediction of future gestational diabetes. J Endocr Soc. 2018;2(10):1158–69.CrossRef
35.
go back to reference Sacks DA, Hadden DR, Maresh M, et al. Frequency of gestational diabetes mellitus at collaborating centers based on IADPSG consensus panel-recommended criteria: the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Diabetes Care. 2012;35:526–8.CrossRef Sacks DA, Hadden DR, Maresh M, et al. Frequency of gestational diabetes mellitus at collaborating centers based on IADPSG consensus panel-recommended criteria: the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Diabetes Care. 2012;35:526–8.CrossRef
36.
go back to reference Dennedy MC, Avalos G, O’Reilly MW, et al. ATLANTIC-DIP: raised Maternal Body Mass Index (BMI) adversely affects maternal and fetal outcomes in glucose-tolerant women according to International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. J Clin Endocrinol Metab. 2012;97(4):E608. https://doi.org/10.1210/jc.2011-2674.CrossRefPubMed Dennedy MC, Avalos G, O’Reilly MW, et al. ATLANTIC-DIP: raised Maternal Body Mass Index (BMI) adversely affects maternal and fetal outcomes in glucose-tolerant women according to International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. J Clin Endocrinol Metab. 2012;97(4):E608. https://​doi.​org/​10.​1210/​jc.​2011-2674.CrossRefPubMed
37.
go back to reference Bolognani C, de Sousa Moreira Reis L, de Souza S, et al. Waist circumference in predicting gestational diabetes mellitus. J Matern Fetal Neonatal Med. 2014;27(9):943–8.CrossRef Bolognani C, de Sousa Moreira Reis L, de Souza S, et al. Waist circumference in predicting gestational diabetes mellitus. J Matern Fetal Neonatal Med. 2014;27(9):943–8.CrossRef
38.
go back to reference Shin D, Song WO. Prepregnancy body mass index is an independent risk factor for gestational hypertension, gestational diabetes, preterm labor, and small- and large- for-gestational-age infants. J Matern Fetal Neonatal Med. 2015;28:1679–86.CrossRef Shin D, Song WO. Prepregnancy body mass index is an independent risk factor for gestational hypertension, gestational diabetes, preterm labor, and small- and large- for-gestational-age infants. J Matern Fetal Neonatal Med. 2015;28:1679–86.CrossRef
39.
go back to reference Collier A, Abraham EC, Armstrong J, et al. Reported prevalence of gestational diabetes in Scotland: the relationship with obesity, age, socioeconomic status, smoking and macrossomia, and how many are we missing? J Diabetes Investig. 2017;8:161–7.CrossRef Collier A, Abraham EC, Armstrong J, et al. Reported prevalence of gestational diabetes in Scotland: the relationship with obesity, age, socioeconomic status, smoking and macrossomia, and how many are we missing? J Diabetes Investig. 2017;8:161–7.CrossRef
40.
go back to reference Liu L, Hong Z, Zhang L. Associations of prepregnancy body mass index and gestational weight gain with pregnancy outcomes in nulliparous women delivering single live babies. Sci Rep. 2015;5:12863.CrossRef Liu L, Hong Z, Zhang L. Associations of prepregnancy body mass index and gestational weight gain with pregnancy outcomes in nulliparous women delivering single live babies. Sci Rep. 2015;5:12863.CrossRef
41.
go back to reference Ben-David A, Glasser S, Schiff E, et al. Pregnancy and birth outcomes among primipara at very advanced maternal age: at what price? Matern Child Health J. 2016;20:833–42.CrossRef Ben-David A, Glasser S, Schiff E, et al. Pregnancy and birth outcomes among primipara at very advanced maternal age: at what price? Matern Child Health J. 2016;20:833–42.CrossRef
42.
go back to reference Laine MK, Kautiainen H, Gissler M, et al. Gestational diabetes in primiparous women—impact of age and adiposity: a register-based cohort study. Acta Obstet Gynecol Scand. 2018;97:187–94.CrossRef Laine MK, Kautiainen H, Gissler M, et al. Gestational diabetes in primiparous women—impact of age and adiposity: a register-based cohort study. Acta Obstet Gynecol Scand. 2018;97:187–94.CrossRef
43.
go back to reference American College of Obstetrics and Gynecology (ACOG). Committee on practice bulletins—obstetrics. ACOG Practice bulletin no. 190: Gestational Diabetes Mellitus. Obstet Gynecol 2018;131(2):e49–e64. American College of Obstetrics and Gynecology (ACOG). Committee on practice bulletins—obstetrics. ACOG Practice bulletin no. 190: Gestational Diabetes Mellitus. Obstet Gynecol 2018;131(2):e49–e64.
44.
go back to reference Farrar D, Simmonds M, Bryant M, Sheldon TA, Tuffnell D, Golder S, Dunne F, Lawlor DA. Hyperglycaemia and risk of adverse perinatal outcomes: systematic review and meta-analysis. BMJ. 2016;354:i4694.CrossRef Farrar D, Simmonds M, Bryant M, Sheldon TA, Tuffnell D, Golder S, Dunne F, Lawlor DA. Hyperglycaemia and risk of adverse perinatal outcomes: systematic review and meta-analysis. BMJ. 2016;354:i4694.CrossRef
45.
go back to reference Bain E, Middleton P, Crowther CA. Progressing towards standard outcomes in gestational diabetes Cochrane reviews and randomized trials. Aust N Z J Obstet Gynaecol. 2016;56(1):113–6.CrossRef Bain E, Middleton P, Crowther CA. Progressing towards standard outcomes in gestational diabetes Cochrane reviews and randomized trials. Aust N Z J Obstet Gynaecol. 2016;56(1):113–6.CrossRef
46.
go back to reference Tundidor D, García-Patterson A, María MA, Ubeda J, Ginovart G, Adelantado JM, de Leiva A, Corcoy R. Perinatal maternal and neonatal outcomes in women with gestational diabetes mellitus according to fetal sex. Gend Med. 2012;9(6):411–7.CrossRef Tundidor D, García-Patterson A, María MA, Ubeda J, Ginovart G, Adelantado JM, de Leiva A, Corcoy R. Perinatal maternal and neonatal outcomes in women with gestational diabetes mellitus according to fetal sex. Gend Med. 2012;9(6):411–7.CrossRef
47.
go back to reference Regnault N, Gillman MW, Rifas-Shiman SL, Eggleston E, Oken E. Sex-specific associations of gestational glucose tolerance with childhood body composition. Diabetes Care. 2013;36(10):3045–53.CrossRef Regnault N, Gillman MW, Rifas-Shiman SL, Eggleston E, Oken E. Sex-specific associations of gestational glucose tolerance with childhood body composition. Diabetes Care. 2013;36(10):3045–53.CrossRef
Metadata
Title
Maternal factors associated with hyperglycemia in pregnancy and perinatal outcomes: a Brazilian reference center cohort study
Authors
Bianca F. Nicolosi
Joice M. Vernini
Roberto A. Costa
Claudia G. Magalhães
Marilza V. C. Rudge
José E. Corrente
Jose G. Cecatti
Iracema M. P. Calderon
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Diabetology & Metabolic Syndrome / Issue 1/2020
Electronic ISSN: 1758-5996
DOI
https://doi.org/10.1186/s13098-020-00556-w

Other articles of this Issue 1/2020

Diabetology & Metabolic Syndrome 1/2020 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine