No increased risk of adverse pregnancy outcomes in women with urinary tract infections: a nationwide population-based study

2011 ◽  
Vol 2011 ◽  
pp. 242-243
Author(s):  
J. Q. Clemens
2017 ◽  
Vol 217 (6) ◽  
pp. 734
Author(s):  
Katharine O'Malley ◽  
Sanaa Suharwardy ◽  
Lillian Sie ◽  
Henry C. Lee ◽  
Ronald S. Gibbs ◽  
...  

2017 ◽  
Vol 129 ◽  
pp. 37S
Author(s):  
Katharine OʼMalley ◽  
Sanaa Suharwardy ◽  
Lillian Sie ◽  
Henry C. Lee ◽  
Ronald S. Gibbs ◽  
...  

Cephalalgia ◽  
2009 ◽  
Vol 30 (4) ◽  
pp. 433-438 ◽  
Author(s):  
H-M Chen ◽  
S-F Chen ◽  
Y-H Chen ◽  
H-C Lin

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.


Author(s):  
Shamil D. Cooray ◽  
Jacqueline A. Boyle ◽  
Georgia Soldatos ◽  
Shakila Thangaratinam ◽  
Helena J. Teede

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.


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