TY - JOUR
T1 - Fasting plasma glucose, diagnosis of gestational diabetes and the risk of large-for-gestational-age
T2 - a regression discontinuity analysis of routine data
AU - Tennant, Peter
AU - Duxford Hook, Elizabeth
AU - Flynn, Lauren
AU - Kershaw, Kathrine
AU - Goddard, Julie
AU - Stacey, Tomasina
N1 - Funding Information:
PWGT is supported by The Alan Turing Institute (EP/N510129/1). The funding sources had no role in: (i) the design or conduct of the study; (ii) the collection, analysis or interpretation of the data; or (iii) the preparation of the manuscript and the decision to submit for publication.
Publisher Copyright:
© 2021 The Authors. BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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 abstract: 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.
AB - 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 abstract: 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.
KW - Gestational diabetes
KW - Fasting plasma glucose
KW - Birthweight
KW - Large-for-gestational-age
KW - Diabetes
KW - Regression discontinuity design
KW - Natural experiment
KW - regression discontinuity design
KW - natural experiment
KW - large for gestational age
KW - diabetes
UR - http://www.scopus.com/inward/record.url?scp=85115724407&partnerID=8YFLogxK
U2 - 10.1111/1471-0528.16906
DO - 10.1111/1471-0528.16906
M3 - Article
VL - 129
SP - 82
EP - 89
JO - BJOG: An International Journal of Obstetrics and Gynaecology
JF - BJOG: An International Journal of Obstetrics and Gynaecology
SN - 1470-0328
IS - 1
ER -