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06.04.2019 | Short Communication | Ausgabe 7/2019 Open Access

Acta Diabetologica 7/2019

Clinical practice of diabetic pregnancy screening in Asia-Pacific Countries: a survey review

Zeitschrift:
Acta Diabetologica > Ausgabe 7/2019
Autoren:
Ling-Jun Li, Qi Yu, Kok Hian Tan, IPRAMHO-INTERNATIONAL Study Group
Wichtige Hinweise
Managed by Antonio Secchi.

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s00592-019-01331-8) contains supplementary material, which is available to authorized users.

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Abbreviations
GDM
Gestational diabetes
IADPSG
International Association of Diabetes and Pregnancy Groups
IPRAMHO
Integrated Platform for Research in Advancing Metabolic Health Outcomes of Women and Children
T2D
Type 2 diabetes
OGTT
Oral glucose tolerance test
Gestational diabetes (GDM) is the development of glucose intolerance during pregnancy in women without pre-gestational diabetes [ 1]. Although the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) guidelines for GDM diagnosis has been adopted worldwide [ 2], little is known about the screening and diagnosis of GDM in most Asia-Pacific countries such as Thailand, Myanmar, Malaysia and Philippines. Therefore, it is necessary to understand the current GDM risk and/or universal screening approaches in Asian countries, since GDM is becoming increasingly prevalent in Asian countries in the recent decades [ 3]. In this manuscript, we conducted a survey regarding GDM screening, treatment and follow-up strategy among nine participating Asia-Pacific countries during the first Integrated Platform for Research in Advancing Metabolic Health Outcomes of Women and Children (IPRAMHO) Asia-Pacific workshop which was held in Singapore. We aimed to summarize and also provided some insights of GDM screening practices in more under-reported Asia-Pacific regions/countries.
A total of 12 surveys were sent out to clinician and academic attendees from nine participating Asia-Pacific countries, namely Singapore, Philippines, Australia, Myanmar, Japan, Malaysia, Thailand, China, and Sri Lanka. The response rate was 100%. The survey respondents were selected from all country representative participants of the first IPRAMHO Asia-Pacific workshop, which involved 60% of ASEAN countries (6 out of 10). The surveys comprised eight sections which collected information on respondent demographics, current GDM policy, screening for pre-existing diabetes, screening for GDM before and after 24 weeks of gestation, GDM policy for delivery, and GDM policy for follow-up after delivery (Supplementary Annex 1).
We summarized the detailed information of each survey respondent and affiliated hospital in Table  1. Responders were almost equally divided between clinicians and academic professors. The number of deliveries per year at each hospital ranged from less than 1000 (1/12, 8.3%) to greater than 10,000 (4/12, 33%). All surveyed hospitals had a national policy or regional guideline regarding pre-existing diabetes and GDM screening (Supplementary Fig. 1).
Table 1
Survey respondents’ characteristics and representative hospitals and countries
Respondent number
Country
City
Hospital
Clinician
Academic researcher
# of obstetricians
# of midwives
# of deliveries/year
1
China
Shanghai
Xinhua Hospital
 
10
0
3600
2
China
Guangzhou
First Affiliated Hospital of Sun Yat-sen University
 
35
40
5400
3
Thailand
Bangkok
Siriraj Hospital
 
60
80
8000
4
Thailand
Hat Yai
Songklanagarind Hospital
 
30
30
3600
5
Malaysia
Kuala Lumpur
Kuala Lumpur General Hospital
 
12
160
12,000
6
Malaysia
Negeri Sembilan
Tuanku Jaafar Seremban
 
8
N/A
11,000
7
Japan
Tokyo
Keio University Hospital
 
40
25
600
8
Myanmar
Yangon
Central Women’s Hospital
 
54
144
14,659
9
Myanmar
Yangon
Central Women’s Hospital
 
54
144
14,659
10
Australia
Melbourne
Mercy Hospital for Women
 
30
100
5800
11
Philippine
Manila
University of the Philippines, Philippine General Hospital
 
60
20
5000
12
Singapore
Singapore
KK Women’s and Children’s Hospital
 
40
20
12,000
13
Sri Lanka
Batticaloa
Teaching Hospital Batticaloa
 
4
30
6000
Regarding the screening for pre-existing diabetes, the majority of survey respondents (7/12, 58.3%) had a policy of using a risk profile assessment, with commonly assessed factors including family history of diabetes (9/12, 75%), previous onset of GDM (9/12, 75%), pre-pregnancy BMI (8/12, 66.7%) and others (i.e., prior macrosomia) (Supplementary Fig. 2). Countries that had universal screening (100%) for pre-existing diabetes were Malaysia, China (Shanghai), and Japan. For screening of GDM before 24 weeks of pregnancy, all survey respondents were analyzed except for Sri Lanka and China (Guangzhou) (10/12, 83.3%). All hospitals screened for GDM used different guidelines (Supplementary Fig. 3) and most of them (8/10, 80%) were screened based on risk factors such as: previous onset of GDM (8/8, 100%), family history of diabetes (7/8, 87.5%), and pre-pregnancy BMI (5/8, 62.5%). All hospitals screened for GDM beyond 24 weeks of pregnancy (Universal screening vs. risk screening: 66.7% vs. 33.3%). The estimated percentage of pregnant women who receive screening ranged from 69 to 100% and most were screened from 24 weeks onwards (8/12, 66.7%). The screening tests varied, but the most commonly used was the one-step IADPSG guidelines (6/12, 50%) (Table  2).
Table 2
Current screening tests used for GDM screening after 24 weeks of pregnancy
OGTT type
Criteria
Country
One step with 75 g 2 h
IADPSG: One abnormal value of fasting ≥ 5.1 mmol/L, 1-h ≥ 10 mmol/L or 2-h ≥ 8.5 mmol/L
Guangzhou, China
Shanghai, China
Tokyo, Japan
Melbourne, Australia
Singapore
Hat Yai, Thailand
WHO 2006: One abnormal value of fasting ≥ 7 mmol/L and/or 2-h ≥ 11.1 mmol/L
Yangon, Myanmar
NICE: One abnormal value of fasting ≥ 5.6 mmol/L and/or 2-h ≥ 7.8 mmol/L
Negeri Sembilan, Malaysia
Nation-specific: Fasting ≥ 5.1 mmol/L and 2 h ≥ 7.8 mmol/L
Kuala Lumper, Malaysia
POGS criteria: fasting ≥ 5.1 mmol/L, 1-h ≥ 10 mmol/L or 2-h ≥ 7.8 mmol/L
Manila, Philippine
Nation-specific: : FBS criteria: One abnormal value of fasting ≥ 100 mg/dL, 1-h ≥ 180 mg/dL or 2-h ≥ 140 mg/dL
Batticaloa, Sri Lanka
Two step with 50 g 1 h followed by 100 g 3 h
ACOG: Two abnormal values of fasting ≥ 5.3 mmol/L, 1-h ≥ 10.0 mmol/L, 2-h ≥ 8.6 mmol/L or 3-h ≥ 7.8 mmol/L
Bangkok, Thailand
Hat Yai, Thailand
IADPSG International Association of Diabetes and Pregnancy Groups, WHO World Health Organization, NICE National Institute for Clinical Excellence, POGS Philippine Obstetrical and Gynecological Society, ACOG Obstetricians and Gynecologists
All surveyed hospitals had a protocol for GDM treatment at delivery except for Sri Lanka. Most surveyed centers (9/12, 75%) had a protocol for long-term follow-up of women with GDM especially concerning the risk of development of type 2 diabetes (T2D). The majority of centers surveyed performed oral glucose tolerance testing (OGTT) between 6 and 12 weeks postpartum (9/12, 75%) and provided advice on postnatal care (Supplementary Table 1).
All 12 hospital centers that participated in this survey had national policies or guidelines regarding GDM screening. One-step IADPSG criteria was the most common guideline used. However, the methods of screening for pre-existing diabetes and postpartum GDM follow-up varied greatly.
Generally, women from 24 weeks of gestation onwards are about twice as likely to be diagnosed with GDM using universal screening than screening based on risk factors [ 4]. In our survey review, hospitals were twice as likely to employ universal screening as risk factor-based screening. A recent Finnish cohort—investigating the accuracy of different prediction models in women at risk of GDM—found that marked heterogeneity of GDM challenged the development of risk scores for detection of GDM. In other words, the traditional risk factor-based GDM screening is flawed and insufficient for GDM diagnosis [ 5]. Therefore, more research is needed on comparing the effect of universal vs. risk factor-based screening for GDM in Asian ethnic groups on maternal and fetal outcomes.
Even though one-step IADPSG criteria was the most commonly adopted, only half of the surveyed hospitals currently use this guideline. Delay or hesitation in adopting this evidence-based criteria might be due to lack of evidence in a Southeast Asian population and limited government resources. It is also challenging to compare prevalence among countries or regions with different diagnostic guidelines, especially in Asian countries where GDM prevalence is known to be higher than other races/ethnicities. Therefore, further research on maternal and fetal outcomes related to IADPSG guidelines diagnosed GDM in Asian countries is warranted to provide more clinical evidence that IADPSG guidelines are beneficial and generalizable to diagnosing pregnant women with GDM in the Asia-Pacific regions.
The strengths of this review include comprehensive information regarding glucose screening approaches in pregnancy, especially among countries whose clinical practice was still unknown, and an excellent response rate of 100%. However, our review is not without limitations. First, we only recruited nine countries in this survey, and the small sample might have selectively biased our results. Second, our findings potentially lack generalizability for each country as only one tertiary hospital was surveyed. Third, since only clinicians or researchers participated in the survey, there might be information bias regarding the glucose screening approaches in general.
In summary, we found that the IADPSG guideline is the most widely adopted criteria in Asia-Pacific countries for GDM screening. Countries vary widely in terms of pre-existing diabetes screening and postpartum follow-up for GDM. Studying the associations of IADPSG and other guidelines with maternal and fetal outcomes will provide greater clinical utility and guide decisions on which guidelines are most appropriate for each country.

Acknowledgements

We thank Dr. Izzuddin M. Aris (Harvard Pilgrim Health Care, Harvard Medical School, Boston, Massachusetts, USA) for his constructive comments and edits on this survey review. We thank the survey respondents at the 1st Integrated Platform for Research in Advancing Metabolic Health Outcomes of Women and Children (IPRAMHO) Asia-Pacific workshop. Specifically, Australia: Alexis Shub, University of Melbourne/Mercy Hospital for Women, Victoria; Satvinder Singh Dhaliwal Curtin University, Perth; China: Chen Weiqing, Sun Yat-Sen University, Guangdong; Jim Zhang Jun, Shanghai Key Laboratory of Children’s Environmental Health Xinhua Hospital, Shanghai; Japan: Mamoru Tanaka, Keio University Hospital, Tokyo; Malaysia: Krishna Kuma, Hospital Tuanku Ja’afar Seremban; G Muniswaran, Kuala Lumpur Maternity Hospital, Kuala Lumpur; Myanmar: Swe Swe Myint, Central Women’s Hospital, Yangon; Yin Yin Soe, Central Women’s Hospital, Yangon; Philippines: Valerie T Guinto, Asian Hospital And Medical Center, Muntinlupa City; Singapore: Tony Tan, Raffles Hospital; Serene Thain and Kok Hian Tan, KK Women’s & Children’s Hospital; Claudia Chi, National University Hospital; Lay Kok Tan, Singapore General Hospital; Sri Lanka: Shahul Hameed Mohamed Siraj, Teaching Hospital Batticaloa; Thailand: Ounjai Kor-ananatakul, Prince of Songkla University Kho Hong, Songkhla; Dittakarn Boriboonhirunsarn, Siriraj Hospital Mahidol University, Krung Thep Maha Nakhon.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

The study is approved by SingHealth ethical board CIRB Ref No.: 2018/2073.

Informed consent

For this type of study, formal consent is not required.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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