Dataset Information

Risk Factors for Pregnancy-Associated Stroke in Women With Preeclampsia.

ABSTRACT: Preeclampsia affects 3% to 8% of pregnancies and increases risk of pregnancy-associated stroke (PAS). Data are limited on which women with preeclampsia are at highest risk for PAS.Using billing data from the 2003 to 2012 New York State Department of Health inpatient database, we matched women with preeclampsia and PAS 1:3 to preeclamptic controls based on age and race/ethnicity. Pre-defined PAS risk factors included pregnancy complications, infection present on admission, vascular risk factors, prothrombotic states, and coagulopathies. We constructed multivariable conditional logistic regression models to calculate the odds ratios (ORs) and 95% confidence intervals (95% CIs) for independent risk factors for PAS.Among women aged 12 to 55 years admitted to New York State hospitals for any reason during the study period (n=3?373?114), 88?857 had preeclampsia, and 197 of whom (0.2%) had PAS. In multivariable analysis, women with preeclampsia and stroke were more likely than controls to have severe preeclampsia or eclampsia (OR, 7.2; 95% confidence interval [CI], 4.6-11.3), infections present on admission (OR, 3.0; 95% CI, 1.6-5.8), prothrombotic states (OR, 3.5; 95% CI, 1.3-9.2), coagulopathies (OR, 3.1; 95% CI, 1.3-7.1), or chronic hypertension (OR, 3.2; 95% CI, 1.8-5.5). Additional analyses matched and stratified by severity of preeclampsia confirmed these results.Infections, chronic hypertension, coagulopathies, and underlying prothrombotic conditions increase PAS risk in women with preeclampsia. These women may warrant closer monitoring.

SUBMITTER: Miller EC

PROVIDER: S-EPMC5539968 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Risk Factors for Pregnancy-Associated Stroke in Women With Preeclampsia.

Miller Eliza C EC Gatollari Hajere J HJ Too Gloria G Boehme Amelia K AK Leffert Lisa L Marshall Randolph S RS Elkind Mitchell S V MSV Willey Joshua Z JZ

Stroke 20170525 7

<h4>Background and purpose</h4>Preeclampsia affects 3% to 8% of pregnancies and increases risk of pregnancy-associated stroke (PAS). Data are limited on which women with preeclampsia are at highest risk for PAS.<h4>Methods</h4>Using billing data from the 2003 to 2012 New York State Department of Health inpatient database, we matched women with preeclampsia and PAS 1:3 to preeclamptic controls based on age and race/ethnicity. Pre-defined PAS risk factors included pregnancy complications, infectio ...[more]

PMID: 28546324

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Project description:Background and Purpose- In the United States, black Americans exhibit a greater risk of stroke and burden of stroke risk factors than whites; however, it is unclear whether these stroke risk factors influence stroke risk differently across racial groups. Methods- In total, 126?018 participants of the Women's Health Initiative (11?389 black and 114?629 white women), free of stroke and coronary heart disease at baseline (1994-1998), were followed through 2010. Participants completed baseline clinical exams with standardized measurements of blood pressure and anthropometrics, medication inventory and self-reported questionnaires on sociodemographics, behaviors/lifestyle, and medical history. Incident total, ischemic and hemorrhagic strokes were updated annually through questionnaires with medical record confirmation. Rate differences (per 100?000 person-years) and hazard ratios (HR) based on multivariable Cox models and were estimated. Results- Over a median of 13 years, 4344 stroke events were observed. Absolute incidence rates were higher in black than white women in each age group. In age-adjusted analyses, the risk of stroke was significantly higher among black compared with white women (HR=1.47, 95% CI, 1.33-1.63); adjustment for stroke risk factors, which may be on the causal pathway, attenuated the estimate. Racial disparities were greatest among women 50 to <60 years (HR=3.48; 95% CI, 2.31-5.26; rate difference =99) and diminished with increasing age (60 to <70 HR=1.80; 95% CI, 1.50-2.16; rate difference =107; ?70 years: HR=1.26; 95% CI, 1.10-1.43; rate difference =87; Pinteraction <0.001). Black women 50 to <60 years remained at significantly higher risk than white women after adjustment for stroke risk factors (HR=1.76; 95% CI, 1.09-2.83). Conclusions- There was a moderately greater risk of total stroke among black compared with white women; however, racial disparities were greatest among women aged 50 to <60 years. Interventions targeted at younger black women may provide the greatest benefit in reducing disparities.

Project description:The visual system was reported to be affected in over half of patients with preeclampsia (PE), though fundus examination was performed only among patients complaining of visual symptoms. Delayed diagnosis and treatment of PE-related retinopathy may lead to permanent visual impairment. Therefore, we hypothesize that some clinical or laboratory parameters could predict severity of retinal damage.The aim of the study was to explore the risk factors for retinopathy in severe preeclampsia (sPE) and investigate pregnancy outcomes with different degrees of retinopathy.This retrospective cohort study included women with sPE who underwent ophthalmoscopy and delivered after admission to West China Second University Hospital, between June 2013 and December 2016. Clinical and laboratory characteristics were retrieved from medical records. Patients confirmed with retinopathy were followed up with telephones. Multiple logistic regression analysis was performed to identify risk factors of PE-related retinopathy.Five hundred thirty-four patients were included, of which 17.6% having stage-1/2 retinopathy, 14.6% having stage-3/4 retinopathy, and 67.8% having normal retina. Compared with patients without retinopathy, patients with stage 3/4 retinopathy were more likely to have preterm-birth and low-birth-weight babies. Significant risk factors for stage 3/4 retinopathy in sPE included severe hypertension (odds ratio [OR] 2.24, 95% confidence interval [CI]: 1.10-4.56), elevated white blood cell (WBC) counts (OR 1.88, 95% CI: 1.05-3.35), decreased platelet counts (OR 2.12, 95% CI: 1.07-4.48), lactate dehydrogenase (LDH) concentration of >800?IU/L (OR 2.31, 95% CI: 1.05-5.06), low hemoglobin (HGB) concentrations of <110?g/L (OR 3.73, 95% CI: 1.21-11.47), 24-hour proteinuria of 2 to 5?g (OR 6.39, 95% CI: 2.84-14.39), and >5?g (OR 8.66, 95% CI: 3.67-20.44).This study confirms the association between retinopathy and preterm-birth and low-birth weight in sPE. The risk factors for severe PE-related retinopathy, including severe hypertension, platelet and WBC count, HGB and LDH concentration, and proteinuria, are associated with the development of retinopathy. Routine and repeated fundus examination is recommended for maternal monitoring in sPE.

Project description:In the face of the obesity epidemic around the world, attention should be focused on the role of maternal obesity in the development of pregnancy. The purpose of this analysis was to evaluate the prediction of preeclampsia (PE) and isolated gestational hypertension (GH) for a number of maternal factors, in order to investigate the importance of pre-pregnancy obesity (body mass index, BMI ≥ 30 kg/m2), compared to other risk factors (e.g., prior PE, pregnancy weight gain (GWG), infertility treatment, interpregnancy interval, family history, the lack of vitamin supplementation, urogenital infection, and socioeconomic factors). In total, 912 women without chronic diseases were examined in a Polish prospective cohort of women with a single pregnancy (recruited in 2015-2016). Separate analyses were performed for the women who developed GH (n = 113) vs. 775 women who remained normotensive, as well as for those who developed PE (n = 24) vs. 775 controls. The probability of each disease was assessed for the base prediction model (age + primiparity) and for the model extended by one (test) variable, using logistic regression. Three measures were used to assess the prediction: area under curve (AUC) of the base and extended model, integrated discrimination improvement (IDI) (the index shows the difference between the value of the mean change in the predicted probability between the group of sick and healthy women when a new factor is added to the model), and net reclassification improvement (NRI) (the index focuses on the reclassification table describing the number of women in whom an upward or downward shift in the disease probability value occurred after a new factor had been added, including results for healthy and sick women). In the GH prediction, AUC increased most strongly when we added BMI (kg/m2) as a continuous variable (AUC = 0.716, p < 0.001) to the base model. The highest IDI index was obtained for prior GH/PE (IDI = 0.068, p < 0.001). The addition of BMI as a continuous variable or BMI ≥ 25 kg/m2 improved the classification for healthy and sick women the most (NRI = 0.571, p < 0.001). In the PE prediction, AUC increased most strongly when we added BMI categories (AUC = 0.726, p < 0.001) to the base model. The highest IDI index was obtained for prior GH/PE (IDI = 0.050, p = 0.080). The addition of BMI categories improved the classification for healthy and sick women the most (NRI = 0.688; p = 0.001). After summing up the results of three indexes, the probability of hypertension in pregnancy was most strongly improved by BMI, including BMI ≥ 25 kg/m2 for the GH prediction, and BMI ≥ 30 kg/m2 for the PE prediction. Main conclusions: Pre-pregnancy BMI was the most likely factor to increase the probability of developing hypertension in pregnancy, compared to other risk factors. Hierarchies of PE and GH risk factors may suggest different (or common) mechanisms of their development.

Project description:OBJECTIVE:To evaluate the capacity of multivariable prediction of preeclampsia during pregnancy, based on detailed routinely collected early pregnancy data in nulliparous women. DESIGN AND SETTING:A population-based cohort study of 62 562 pregnancies of nulliparous women with deliveries 2008-13 in the Stockholm-Gotland Counties in Sweden. METHODS:Maternal social, reproductive and medical history and medical examinations (including mean arterial pressure, proteinuria, hemoglobin and capillary glucose levels) routinely collected at the first visit in antenatal care, constitute the predictive variables. Predictive models for preeclampsia were created by three methods; logistic regression models using 1) pre-specified variables (similar to the Fetal Medicine Foundation model including maternal factors and mean arterial pressure), 2) backward selection starting from the full suite of variables, and 3) a Random forest model using the same candidate variables. The performance of the British National Institute for Health and Care Excellence (NICE) binary risk classification guidelines for preeclampsia was also evaluated. The outcome measures were diagnosis of preeclampsia with delivery <34, <37, and ?37 weeks' gestation. RESULTS:A total of 2 773 (4.4%) nulliparous women subsequently developed preeclampsia. The pre-specified variables model was superior the other two models, regarding prediction of preeclampsia with delivery <34 and <37 weeks, both with areas under the curve of 0.68, and sensitivity of 30.6% (95% CI 24.5-37.2) and 29.2% (95% CI 25.2-33.4) at a 10% false positive rate, respectively. The performance of these customizable multivariable models at the chosen false positive rate, was significantly better than the binary NICE-guidelines for preeclampsia with delivery <37 and ?37 weeks' gestation. CONCLUSION:Multivariable models in early pregnancy had a modest performance, although providing advantages over the NICE-guidelines, in predicting preeclampsia in nulliparous women. Use of a machine learning algorithm (Random forest) did not result in superior prediction.

Dataset Information

Risk Factors for Pregnancy-Associated Stroke in Women With Preeclampsia.

Publications

Risk Factors for Pregnancy-Associated Stroke in Women With Preeclampsia.

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