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Volume: 08

Research & Reviews: Journal of Medical & Health Sciences

Page 26

Notes:

Diabetes Congress & Cancer summit 2019

December 04-05, 2019

conferenceseries

.com

December 04-05, 2019 | Tokyo, Japan

Asia Pacific Conference on

Diabetes Oncology

Nurul Syaza Razali et al., RRJMHS 2019, ISSN: 2319-9865

Mean amplitude of glycemic excursions of first trimester of pregnancy in gestational diabetes and

non-gestational diabetes mellitus patients

Nurul Syaza Razali

1

, Tan Kok Hian

1

and Cherylin Tan

2

1

KK Women’s and Children’s Hospital, Singapore

2

Duke-NUS Medical School, Singapore

Introduction:

Diabetes is characterized by glycemic disorders such as sustained chronic hyperglycemia and acute glucose

uctuations. Maternal hyperglycemia and glycemic variability in Gestational Diabetes Mellitus (GDM) is associated with

increased risks of adverse pregnancy outcomes. Glycemic variability leads to oxidative stress and potentially contributes to

micro and macrovascular complications. It is bene cial to study the glucose variability in GDM patients for prevention of

complications. Glucose variability can be studied by the Mean Amplitude of Glycemic Excursions (MAGE) which can be

acquired from the use of Continuous Glucose Monitoring (CGM).

Method:

An observational study (I-Pro le) using CGMwas conducted in KK Hospital, Singapore on women seeking antenatal

care. Eighteen subjects were provided CGM devices during their rst trimester of pregnancy (9-13 weeks gestational age).

Subjects were classi ed as GDM (n=3) or non-GDM (n=15) cases a er their oral glucose tolerance test according to the

IADPSG criteria. e data from the CGM was used to calculate MAGE. MAGE was then compared during the fasting and

non-fasting period of the day. Fasting is de ned as the period of eight hours without food. e range of 10 pm to 6 am was

considered to be fasting period and 6am-10pm to be non-fasting period.

Results:

e fasting MAGE of non-GDM patients was 1.45 (SD±0.55), while GDM patients had an increased fasting MAGE

of 3.3 (SD±0.92) (p=<0.001), showing signi cance in glycemic variability of patients with GDM. e non-fasting MAGE for

non-GDM patients is 2.15 (SD±0.71) and GDM patients is 4.22(SD±1.33) (p=0.151). e overall MAGE was found to be 2.15

(SD±0.71) in non-GDM patients and 4.27 (±1.22) in GDM patients (p=0.001).

Conclusion:

e glycemic variability (MAGE) during fasting at rst trimester was signi cantly higher in patients that were

eventually diagnosed with GDM. However, the MAGE readings between the GDM and non-GDM groups at non-fasting hours

were statistically insigni cant.

Biography

Nurul Syaza Razali is a part of the Integrated Platform for Research in Advancing Metabolic Health Outcomes of Women and Children (IPRAMHO) study group

in Singapore.

nurul.syaza@kkh.com.sg