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Can adverse maternal and perinatal outcomes be predicted when blood pressure becomes elevated? Secondary analyses from the CHIPS (Control of Hypertension In Pregnancy Study) randomized controlled trial.


ABSTRACT: INTRODUCTION:For women with chronic or gestational hypertension in CHIPS (Control of Hypertension In Pregnancy Study, NCT01192412), we aimed to examine whether clinical predictors collected at randomization could predict adverse outcomes. MATERIAL AND METHODS:This was a planned, secondary analysis of data from the 987 women in the CHIPS Trial. Logistic regression was used to examine the impact of 19 candidate predictors on the probability of adverse perinatal (pregnancy loss or high level neonatal care for >48 h, or birthweight <10th percentile) or maternal outcomes (severe hypertension, preeclampsia, or delivery at <34 or <37 weeks). A model containing all candidate predictors was used to start the stepwise regression process based on goodness of fit as measured by the Akaike information criterion. For face validity, these variables were forced into the model: treatment group ("less tight" or "tight" control), antihypertensive type at randomization, and blood pressure within 1 week before randomization. Continuous variables were represented continuously or dichotomized based on the smaller p-value in univariate analyses. An area-under-the-receiver-operating-curve (AUC ROC) of ?0.70 was taken to reflect a potentially useful model. RESULTS:Point estimates for AUC ROC were <0.70 for all but severe hypertension (0.70, 95% CI 0.67-0.74) and delivery at <34 weeks (0.71, 95% CI 0.66-0.75). Therefore, no model warranted further assessment of performance. CONCLUSIONS:CHIPS data suggest that when women with chronic hypertension develop an elevated blood pressure in pregnancy, or formerly normotensive women develop new gestational hypertension, maternal and current pregnancy clinical characteristics cannot predict adverse outcomes in the index pregnancy.

SUBMITTER: Magee LA 

PROVIDER: S-EPMC5021204 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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Can adverse maternal and perinatal outcomes be predicted when blood pressure becomes elevated? Secondary analyses from the CHIPS (Control of Hypertension In Pregnancy Study) randomized controlled trial.

Magee Laura A LA   von Dadelszen Peter P   Singer Joel J   Lee Terry T   Rey Evelyne E   Ross Susan S   Asztalos Elizabeth E   Murphy Kellie E KE   Menzies Jennifer J   Sanchez Johanna J   Gafni Amiram A   Gruslin Andrée A   Helewa Michael M   Hutton Eileen E   Lee Shoo K SK   Logan Alexander G AG   Ganzevoort Wessel W   Welch Ross R   Thornton Jim G JG   Moutquin Jean Marie JM  

Acta obstetricia et gynecologica Scandinavica 20160407 7


<h4>Introduction</h4>For women with chronic or gestational hypertension in CHIPS (Control of Hypertension In Pregnancy Study, NCT01192412), we aimed to examine whether clinical predictors collected at randomization could predict adverse outcomes.<h4>Material and methods</h4>This was a planned, secondary analysis of data from the 987 women in the CHIPS Trial. Logistic regression was used to examine the impact of 19 candidate predictors on the probability of adverse perinatal (pregnancy loss or hi  ...[more]

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