Increased risk of adverse pregnancy outcomes for women with migraines: A nationwide population-based study

Cephalalgia ◽  
2009 ◽  
Vol 30 (4) ◽  
pp. 433-438 ◽  
Author(s):  
H-M Chen ◽  
S-F Chen ◽  
Y-H Chen ◽  
H-C Lin
Keyword(s):  
Pregnancy Outcomes ◽  
Low Birthweight ◽  
Preterm Births ◽  
Population Based ◽  
Adverse Pregnancy Outcomes ◽  
Multivariate Logistic Regression ◽  
Population Based Study ◽  
Increased Risk ◽  
Preterm Babies ◽  
Adverse Pregnancy

Using a 3-year nationwide population-based database, this study aims to examine the risk of adverse pregnancy outcomes in women with migraines, including low birthweight (LBW), preterm birth, infants born small for gestational age, Caesarean section (CS) and pre-eclampsia. We identified a total of 4911 women with migraines who gave birth from 2001 to 2003, together with 24 555 matched women as a comparison cohort. Multivariate logistic regression analyses showed that after adjusting for potential confounders, the odds ratios were 1.16 [95% confidence intervals (CI) = 1.03–1.31, P = 0.014] for LBW, 1.24 (95% CI = 1.13–1.39, P < 0.001) for preterm births, 1.16 (95% CI = 1.07–1.24, P < 0.001) for CS and 1.34 (95% CI = 1.02–1.77, P = 0.027) for pre-eclampsia for women with migraines compared with unaffected mothers. We conclude that women with migraines were at increased risk of having LBW, preterm babies, pre-eclampsia and delivery by CS, compared with unaffected mothers.

The Need for Personalized Risk-Stratified Approaches to Treatment for Gestational Diabetes: A Narrative Review

2021 ◽  
Author(s):  
Shamil D. Cooray ◽  
Jacqueline A. Boyle ◽  
Georgia Soldatos ◽  
Shakila Thangaratinam ◽  
Helena J. Teede
Keyword(s):  
Gestational Diabetes ◽  
Pregnancy Outcomes ◽  
Population Based ◽  
Adverse Pregnancy Outcomes ◽  
Therapeutic Interventions ◽  
Clinical Prediction Model ◽  
Increased Risk ◽  
Adverse Pregnancy ◽  
The Individual ◽  
Personalized Risk

AbstractGestational diabetes mellitus (GDM) is common and is associated with an increased risk of adverse pregnancy outcomes. However, the prevailing one-size-fits-all approach that treats all women with GDM as having equivalent risk needs revision, given the clinical heterogeneity of GDM, the limitations of a population-based approach to risk, and the need to move beyond a glucocentric focus to address other intersecting risk factors. To address these challenges, we propose using a clinical prediction model for adverse pregnancy outcomes to guide risk-stratified approaches to treatment tailored to the individual needs of women with GDM. This will allow preventative and therapeutic interventions to be delivered to those who will maximally benefit, sparing expense, and harm for those at a lower risk.

Endometriosis Is Associated with Adverse Pregnancy Outcomes: a National Population-Based Study

2020 ◽  
Vol 27 (5) ◽  
pp. 1175-1180 ◽  
Author(s):  
Kyong Wook Yi ◽  
Geum Joon Cho ◽  
KeonVin Park ◽  
Sung Won Han ◽  
Jung-Ho Shin ◽  
...  
Keyword(s):  
Pregnancy Outcomes ◽  
Population Based ◽  
Adverse Pregnancy Outcomes ◽  
Population Based Study ◽  
National Population ◽  
Adverse Pregnancy
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