Title:Efficacy and Safety of Faster Aspart in Comparison to Insulin Aspart
Among Indian Women with Gestational Diabetes
Volume: 19
Issue: 8
Author(s): Aneesh Ghosh*
Affiliation:
- Department of Endocrinology, Ananthapuri Hospitals and Research Institute, Kerala, India
Keywords:
Faster aspart, insulin aspart, gestational diabetes, glycemic events, glycemic control, glycemic variations.
Abstract:
Aims: The present study aimed to compare the pregnancy outcomes, efficacy, and safety
of faster aspart with insulin aspart among Indian women with gestational diabetes.
Background: In several countries, fast-acting insulin aspart (faster aspart) has been approved for
use in pregnancy. There is a lack of data related to maternal glycemic control and fetal and perinatal
outcomes with faster aspart in gestational diabetes among the Indian population.
Objective: To compare and evaluate the efficacy and safety of faster aspart and insulin aspart in the
management of gestational diabetes.
Methods: This retrospective study evaluated the medical records of 60 pregnant women diagnosed
with gestational diabetes and managed with faster aspart or insulin aspart at a tertiary care center,
between March 2019 and September 2020. Self-monitored blood glucose levels recorded at 4
timepoints (fasting, and 1 hour post breakfast, lunch, and dinner) during 6 consecutive days any
time before delivery were analyzed. Pregnancy and neonatal outcomes across both groups were
compared.
Results: The mean postprandial glucose value following dinner was significantly lesser in the faster
aspart group compared to the insulin aspart group (123.61 ± 2.52 mg/dL vs. 125.87 ± 2.98
mg/dL, respectively; p=0.0024). Women in the faster aspart group had significantly lower glycemic
variability (fluctuations). Lesser number of hypoglycemic events were noted in the faster aspart
group (10 vs. 20; p=0.0595).
Conclusion: Faster aspart was associated with better glycemic control compared to insulin aspart
among women with gestational diabetes. Further large-scale studies are needed to validate the outcomes.