Fasting plasma glucose, diagnosis of gestational diabetes and the risk of large for gestational age: a regression discontinuity analysis of routine data

• Published in: BJOG : an international journal of obstetrics and gynaecology Vol. 129; no. 1; pp. 82 - 89
• Main Authors: Tennant, PWG, Doxford‐Hook, E, Flynn, L, Kershaw, K, Goddard, J, Stacey, T
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.01.2022
• Subjects: Adult; Age; Birth Weight; Birthweight; Blood Glucose; Cohort Studies; diabetes; Diabetes mellitus; Diabetes, Gestational - blood; Diabetes, Gestational - diagnosis; Diagnosis; England; Fasting; Female; Fetal Macrosomia; Gestational age; Gestational diabetes; Glucose Tolerance Test; Humans; Hyperglycemia; Infant, Newborn; Laboratory testing; large for gestational age; Medical diagnosis; natural experiment; Pregnancy; Pregnancy Outcome; Pregnancy Trimester, Second; Prenatal Diagnosis; Regression Analysis; regression discontinuity design; State Medicine; Wales; England; Wales; United Kingdom > UK; regression discontinuity design; natural experiment; large for gestational age; diabetes; Birthweight
• ISSN: 1470-0328; 1471-0528
• DOI: 10.1111/1471-0528.16906

Objective To estimate the causal effects of fasting plasma glucose (FPG) and diagnosis of gestational diabetes (GDM) on birthweight and the risks of large for gestational age (LGA). Design Regression discontinuity analysis of routine data. Setting Two district general hospitals in West Yorkshire, UK. Population A cohort of 7062 women with singleton pregnancies who were screened for GDM and gave birth to a baby at ≥24 weeks of gestation in 2017–2019, inclusive. Methods The causal effects of FPG and GDM diagnosis were estimated using the two‐stage least‐squares approach, around the diagnostic threshold of FPG ≥ 5.6 mmol/l recommended by the UK’s National Institute for Health and Care Excellent (NICE), controlling for ethnicity, maternal age, parity, height and weight. Main outcome measures Birthweight (standardised for sex and gestational age) and large for gestational age (standardised as birthweight above the 90th centile). Results For each 1 mmol/l increase in FPG the observed birthweight increased by Z‐score = 0.48 standard deviations (95% CI 0.39 to 0.57) and the odds of LGA increased by OR = 2.61 (95% CI 1.86 to 3.66). Conversely, GDM diagnosis reduced the observed birthweight by Z = −0.61 (95% CI −0.94 to −0.29) and lowered the odds of LGA by OR = 0.33 (95% CI 0.15 to 0.74). Similar, but less certain, patterns were observed for caesarean section, shoulder dystocia and perinatal death. Conclusions The relationship between FPG and LGA is potent but is dramatically reduced by GDM diagnosis (and all the consequences thereof). Women with mild hyperglycaemia (with an FPG of 5.1–5.5 mmol/l) who fall below the current NICE threshold for GDM diagnosis have the highest risks of adverse outcomes, suggesting a need to reconsider their current care. Tweetable Regression discontinuity analysis shows that untreated mild hyperglycaemia increases the odds of large for gestational age, but that a diagnosis of gestational #diabetes lowers the odds by three times. Tweetable Regression discontinuity analysis shows that untreated mild hyperglycaemia increases the odds of large for gestational age, but that a diagnosis of gestational #diabetes lowers the odds by three times. Linked article This article is commented on by S John and KS Joseph, p. 90 in this issue. To view this mini commentary visit https://doi.org/10.1111/1471-0528.16939.