Background and purposes
The long-term risk of stroke in women with preeclampsia/eclampsia is a concerning issue. In this study we further investigated different stroke subtypes and differentiated follow-up time intervals.
Between 2000 and 2017, 1,384,427 pregnant women were registered in the National Health Insurance Research Database in Taiwan. After excluding women with previous stroke history and exact matching with all confounders, 6,053 women with preeclampsia/eclampsia and 24,212 controls were included in the analysis sample.
Over the 17-year follow-up, the adjusted hazard ratio (aHR) for stroke in women with preeclampsia/eclampsia was 2.05 (95% confidence interval, CI = 1.67–2.52, p<0.001). The 17 years overall aHR of both ischemic and hemorrhagic stroke were 1.98 and 3.45, respectively (p<0.001). The stroke subtypes, hemorrhagic and ischemic, had different time trend risks, and hemorrhagic stroke risks kept higher than that of ischemic stroke. The aHR of ischemic stroke reached a peak during 1–3 years after childbirth (aHR = 3.09). The aHR of hemorrhagic stroke reached a peak during 3–5 years (aHR = 7.49).
Citation: Chuang C-J, Chiou W-Y, Yang H-J, Lin H-Y, Hung S-K, Lee M-S, et al. (2022) Impact of preeclampsia/eclampsia on hemorrhagic and ischemic stroke risk: A 17 years follow-up nationwide cohort study. PLoS ONE 17(11): e0276206. https://doi.org/10.1371/journal.pone.0276206
Editor: Emily W. Harville, Tulane University School of Public Health and Tropical Medicine, UNITED STATES
Received: April 6, 2022; Accepted: September 30, 2022; Published: November 9, 2022
Copyright: © 2022 Chuang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data used in this study are from Taiwan National Health Insurance Research Database (NHIRD), and this database is owned by the government, the Data Science Center, Ministry of Health and Welfare, Taiwan. The NHIRD includes the sensitive and potentially identifiable health data of whole Taiwan population. The raw data can only be dealt with in this data science center. The raw data cannot be released according to the legal restriction of Data Science Center, Ministry of Health and Welfare, Taiwan. The website of Data Science Center, Ministry of Health and Welfare, Taiwan is as follows: https://dep.mohw.gov.tw/dos/cp-5283-63826-113.html The contact information for the Data Science Center is as follows: Miss. Zhang +886-2-85906818 email@example.com or Miss. Tsai +886-2-85906828 firstname.lastname@example.org.
Funding: We appreciate the research grants from the Dalin Tzu Chi Hospital (grant number: DTCRD106-I-09). The funders had no role in the study design, data collection and analysis, decision to publish, or the preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Preeclampsia/eclampsia, a hypertensive disorder of pregnancy, is a serious and common obstetric complication . The incidence of preeclampsia/eclampsia in pregnant women is 2–8% worldwide, and it is a major cause of maternal morbidity and mortality [2–4]. Severe preeclampsia/eclampsia is a serious threat to the lives of mothers and fetuses, leading to cardiovascular and metabolic complications for mothers and persistent bradycardia, hypotension, and neonatal hypoglycemia for fetuses [5–7]. Preeclampsia/eclampsia may also lead to serious kidney, brain, and blood clotting problems [8, 9]. Overall, 10%-15% of direct maternal deaths are associated with preeclampsia and eclampsia in low- and middle-income countries .
Stroke is an important issue not only in the elderly, but also in pregnant women. It has been reported that the incidence of stroke, both ischemic and hemorrhagic subtypes, is increased in the peripartum and postpartum stages [10–15]. The incidence of stroke ranges from 1.5 to 34.2 per 100,000 deliveries in pregnancy and the puerperium [16, 17]. It has been reported that preeclampsia/eclampsia-related stroke can cause direct obstetric death [18, 19].
The incidence of stroke in pregnant women in previous studies is varied due to different preexisting risk factors [16, 20]. However, the long-term stroke risk in term of different time intervals after childbirth is not well studied. In this study, we aimed to utilize a nationwide database to explore the long-term stroke risk, differentiating follow-up time intervals for both of ischemic and hemorrhagic stroke subtypes, in women with a history of preeclampsia/eclampsia after 17 years follow-up.
Materials and methods
This study was conducted following the Declaration of Helsinki. The study protocol was also approved by the Institutional Review Board (IRB) of Dalin Tzu Chi Hospital of Buddhist Tzu Chi Medical Foundation (approval number, B10402022). The IRB absolved the study from the requirement for written informed consent due to no direct contact with individual patients from this de-identified database.
Data source and availability
We used the Taiwan National Health Insurance Research Database (NHIRD) to analyze the incidence rate of stroke in women with preeclampsia/eclampsia and compared it to those without preeclampsia/eclampsia. The information contained within the database was released for research purposes by the Health and Welfare Data Science Center (HWDC), Ministry of Health and Welfare, Taiwan. The raw data from the NHIRD is available to the research community; however, the data must be analyzed within the HWDC after the study proposal is approved (https://dep.mohw.gov.tw/dos/np-2497-113.html). The confidentiality assurances were addressed by following the data regulations of the HWDC. The study protocol, analytic methods, and statistical programming codes are available from the corresponding author on reasonable request.
Taiwan NHIRD contains all the records of diagnosis and treatment of approximately 99% of people from inpatient, outpatient, and emergency departments . The data collection of pregnant women from the Taiwan NHIRD ranged from 2000 to 2017, and it was included in this study for statistical analysis. The data included were evaluated by the National Health Insurance Administration (NHIA) quarterly expert reviews on every 50 to 100 ambulatory and inpatient claims filed by each medical institution . False diagnostic reports are subject to severe penalties from the NHIA .
Records of pregnant women in this database were collected and categorized into two groups of women, those with and without preeclampsia/eclampsia. Based on the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes for pregnant women, the codes were 650, 651, 652, and 653, while those for pregnant women with preeclampsia/eclampsia were 642.4, 642.5, 642.6, and 642.7.
Between 2001 and 2017, 1,384,427 pregnant women with delivery were registered in the Taiwan NHIRD. Fig 1 shows our study’s flow diagram. We excluded 38,707 cases with missing confounders and 566 cases with stroke history. In addition, we only included women with the delivery age between 18 to 45 years. Finally, we enrolled 1,338,334 cases in this study, divided into groups of pregnant women with (N = 8,077) and without (N = 1,316,550) preeclampsia/eclampsia.
Because of the large number of women in our nationwide database, we performed exact matching for every subject and control subject. Every woman with preeclampsia/eclampsia had 4 matched control subjects. Every woman and her corresponding matched control subjects had the same age, delivery type, gestation number, hospital level, delivery season, living area, family income level and all comorbidities were the same. Comorbidities included chronic HTN, gestational diabetes, anemia, antepartum hemorrhage, and postpartum hemorrhage. Therefore, the chi-square test for these two matched cohorts reveal all baseline characteristics (S1 Table) had p value of 1.000. After 1:4 exact matching, 6,053 cases were selected in the preeclampsia/eclampsia group and 24,212 in the non-preeclampsia/eclampsia group.
The primary outcomes included: codes for hemorrhagic stroke being 430, 431, 432, and codes for ischemic stroke being 433, 434, 435, 436, and 437. The potential confounders considered in this study were age, type of delivery (cesarean section or normal spontaneous delivery), multiple gestation, hospital level, season during delivery, comorbidities, and sociodemographic variables (Table 1 and S1 Table). To more accurately evaluate the effect of preeclampsia/eclampsia on stroke, the above matched confounders were incorporated into multivariate analysis for adjustment, because they may still affect the stroke risk estimation. For example, hypertension and old age, etc, would still increase the risk of stroke, even these two cohort groups had same distribution of hypertension and age. If these potential confounders are not adjusted for, the estimated stroke hazard ratio of preeclampsia/eclampsia might be overestimated.
The hospital level was included in the analysis, account for different care qualities during pregnancy at different hospital levels. Socioeconomic variables, including geographic region, urbanization level, and monthly income-based insurance premiums were analyzed to reduce bias resulting from lifestyle. The follow-up time in this study was from 2000 to 2017. The incidence of stroke compared in these two cohorts was listed in Table 2.
Because our database has a very long time span of 17 years, we further divided the overall follow up time into several sub-intervals of follow up period. Reviewing the literature, previous studies reported the stroke risk for 3 months antepartum, and 3 days, 6 weeks, 6 months, and 12 months postpartum . For follow up time exceeded one year after delivery, only one longitudinal cohort study recently had ever reported the later-life stroke incidence , but their study did not compare stroke risk in different time intervals. Because no specific time division criteria could be referred, we conventionally divided the follow-up time into 0–5, 5–10, and 10–15 years, and further divided the 0–5 years close to delivery into 0–1, 1–3, and 3–5 years.
To further evaluate risks in these different sub-intervals, we computed conditional probabilities, conditioning on not having a stroke by the beginning of this sub-interval of the follow-up period; that is, women who had a stroke episode by the beginning of the specific sub-interval were excluded. Then we re-did exact matching for these new cohorts in each sub-interval, and performed several corresponding multivariate Cox models for each sub-interval (Table 3). Table 3 shows the aHRs which were computed from new re-matched cohorts for these sub-intervals and several multivariate Cox models to evaluate the stroke risks that might occur during these sub-intervals.
The basic characteristics between the two study groups were compared by Chi-square test (S1 Table). The incidences of stroke in these two cohorts were also compared (Table 2). We used a multivariate Cox regression model, adjusting all the potential confounding factors, to obtain the adjusted hazard ratio (aHR) and 95% confidence interval (CI) for stroke occurrence (Table 1). Cumulative incidence functions for the first occurrence of stroke episode between preeclampsia/eclampsia and non-preeclampsia/eclampsia women were compared using the Kaplan–Meier method. The 17-years follow-up duration was further divided into different sub-intervals. An adjusted hazard ratio was conditionally estimated based on women still being followed and not having a stroke by the beginning of those sub-intervals of the follow-up period, by several multivariate Cox models for each sub-intervals. SAS software (version 9.2; SAS Institute, Inc., Cary, NC) was used for all statistical analyses. A two-sided P-value of <0.05 was considered statistically significant.
The mean ages of the groups with and without preeclampsia/eclampsia were 32.04 and 31.84 years, respectively. No statistically significant differences were found in distribution of the all demographic characteristics and comorbidities between two groups after exact matching.
Regarding the risk for all stroke, preeclampsia/eclampsia women had higher all stroke episodes than non-preeclampsia/eclampsia women (2.15% versus 1.23%, p< 0.001, Table 2). After distinguishing incidences for different stroke subtypes, the incidence rates of both ischemic and hemorrhagic stroke subtypes in the preeclampsia/eclampsia group were higher than that in the non-preeclampsia/eclampsia group (1.88% versus 1.12%, 0.55% versus 0.18%, respectively, both p< 0.001, Table 2).
Table 1 presents the aHRs of stroke after adjusting for covariates. Overall, stroke risk was significantly higher in the preeclampsia/eclampsia group than in the non-preeclampsia/eclampsia group (aHR = 2.05, 95% CI = 1.67–2.52, p< 0.001). Women aged >35 years had higher risk of stroke than that of women who aged <30 years (aHR = 2.61, CI = 2.03–3.36, p< 0.001). Variables such as cesarean section, multiple gestations, hospital level, and the season of maternal delivery did not have significant risk for stroke. For comorbidities, hypertension increased risks for stroke with aHR 3.35 (95% CI = 1.99–5.63, p<0.001) in these two matched cohorts. APH had a significant risk for stroke (aHR = 2.10, CI = 1.10–4.01, p = 0.02). Other comorbidities such as GDM, anemia, and PPH had no significant impact on stroke occurrence. Socioeconomic variables, such as geographic region and urbanization level, had no significant stroke risk, except family income. Women in median or high-income families had a lower risk of stroke than that of women in low-income families.
Table 3 presents the aHRs of ischemic stroke and hemorrhagic stroke after adjusting for covariates. The aHR of ischemic stroke was 1.98 (95% CI = 1.59–2.46, p< 0.001) and the aHR of hemorrhagic stroke was 3.45 (95% CI = 2.18–5.47, p< 0.001), respectively. We also observed stroke risk in women with preeclampsia/eclampsia at intervals of 0–1, 1–3, 3–5, 5–10, and 10–15 years (see Table 3). Overall, aHR of stroke reached a peak within 1–3 years after child-birth (aHR 3.20, 95% CI = 1.82–5.63, p<0.001). The risk time trends for these two stroke subtypes were different (Table 3 and as illustrated in Fig 2). The aHR of ischemic stroke reached a peak within 1–3 years after childbirth (aHR 3.09, 95% CI = 1.71–5.58, p<0.001), while aHR of hemorrhage stroke reached a peak within 3–5 years after childbirth (aHR 7.49, 95% CI = 1.18–47.33, p = 0.032). In addition, aHR of hemorrhagic stroke was higher than that of the ischemic stroke at each follow-up time interval.
The stroke-free-survival rate was significantly higher in women without preeclampsia/eclampsia (97.68%), compared to those with preeclampsia/eclampsia (94.48%). The 15-year ischemic stroke-free and hemorrhagic stroke-free survival rate were all higher in women with preeclampsia/eclampsia than that in women without preeclampsia/eclampsia (97.84%% versus 95.50%, 99.65% versus 98.07%, both p < 0.001). Overall, the trend of ischemic stroke-free-survival rate dropped more rapidly and earlier than hemorrhagic free survival rate (Fig 3B and 3C).
Our results show that a history of preeclampsia/eclampsia during pregnancy significantly increased the risk of stroke, both ischemic and hemorrhagic stroke subtypes, in the 17 years after childbirth. In this long-term study, after adjusting for potential confounding variables, women with history of preeclampsia/eclampsia had a 2.05-fold higher stroke risk, 1.98-fold higher ischemic stroke risk and up to 3.45-fold higher hemorrhagic stroke risk than those without. Our findings suggest that long-term stroke risk is a great concern for women with a past episode of preeclampsia/eclampsia.
For pregnancy without preeclampsia/eclampsia, pregnancy itself alone was not a risk factor of stroke during pregnancy, but was a risk of stroke in the postpartum period . In the classic study by Kittner et al., they showed that the adjusted relative risks of ischemic stroke and hemorrhagic stroke, adjusted for age and race, were 8.7 and 28.3 in the six weeks after delivery, but not increased during the pregnancy .
Besides the pregnancy process itself, there are several factors which might affect the occurrence and prognosis of stroke, such as hypertension and age. Previous studies reported that population with hypertension had more obvious intracranial occlusion and worse stroke outcome compared to those without hypertension [26–29]. Studies also showed that both of the elevation of systolic and diastolic blood pressure increased the stroke risk for women [30, 31]. Recent study identified genes of predisposing to hypertension associated with preeclampsia/eclampsia in Asian women . In this study, our results confirm the role of hypertensive disease on stroke with a significant aHR of 3.35 (95% CI 1.99–5.63, p< 0.001).
Age is another significant risk factor for stroke. Many obstetric-focused studies discussed the impact of age on maternal stroke risk [13, 33, 34]. For example, women age>39 years was a significant hemorrhagic and ischemic stroke risk factor in a study of postpartum stroke risk . Our results also show that the older women were significantly higher stroke risk they had.
In this study, low family income is another significant risk factor for stroke. Reviewing the literature, previous studies showed women with lower socioeconomic status tended to receive prenatal care less frequently and were at higher risk for obstetric complications [35–37]. Previous studies suggested that socioeconomic disadvantage was associated with increased stroke incidence, severity and mortality at young age population [38, 39].
Many studies evaluated the stroke risk during the pregnancy period [11, 40–45], puerperium , and postpartum [40, 46]. Among these risk factors evaluated in the studies, preeclampsia/eclampsia was one of the risk factors which might increase the incidence of stroke. Several studies suggested that preeclampsia/eclampsia would increase stroke risk during the pregnancy period [47, 48], and peripartum . Reviewing the literature, Tang et al. reported the only one study to evaluate the stroke risk in the peripartum period, including pregnancy and postpartum, in women with preeclampsia-eclampsia . The study of Tang et al. followed up pregnant women to the first year post delivery. They evaluated the stroke risk within one year after delivery and found that the adjusted relative risk (aRR) of hemorrhagic stroke were 10.68, 6.45,5.61,11.76 and19.90 for 3 months antepartum, and 3 days, 6 weeks, 6 months, 12 months postpartum, respectively . They also reported the aRR of ischemic stroke were as high as 40.86 within 3 months antepartum, then decreased to 4.35 during 6 months to 12 months postpartum .
Compared to Tang’s study, our cohorts study followed women to the 17 years after childbirth. Similarly to that study, our findings show that both ischemic and hemorrhagic stroke risk had a marked ascending trend shortly after childbirth in women with preeclampsia/eclampsia. Besides, our long follow up study shows that the aHR of ischemic and hemorrhagic stroke increased to the peak around within 3 to 5 years after childbirth. The aHR of hemorrhagic stroke reached a peak 3−5 years after childbirth (aHR 7.49), then gradually decreased to around 3-fold. The aHR of ischemic stroke reached a peak 1−3 years after childbirth (aHR 3.09), then gradually decreased to around 1.6-fold. In our study, the ischemic stroke risk reached the peak earlier than hemorrhagic stroke. It is worth noting that, even 10 to 15 years after childbirth, the stroke risk for women with a past history of preeclampsia/eclampsia was still significantly higher than those without preeclampsia/eclampsia (Table 3 and Fig 2).
It has been reported that preeclampsia/eclampsia was independently associated with an increased risk of future heart failure (RR, 4.19), and cardiovascular disease death (RR, 2.21) . During pregnancy, the physiological system of pregnant women is under high stress in order to accommodate the growing fetus. Among women with preeclampsia/eclampsia, previous studies reported the physiological impairments in maternal endothelial dysfunction and changes in vascular tissue structure were found to be associated with stroke risk [11, 49–51]. Left ventricular remodeling/hypertrophy was found to be an adaptive response to minimize wall stress from the development of hypertension during pregnancy in preeclampsia ; this altered LV geometry may result in impaired LV function and cardiovascular implications that would persist many years after delivery[53, 54]. This might explain the long term elevated stroke risk in women with preeclampsia/eclampsia.
Strengths and limitations
First, this study’s major strength is exploring the association between preeclampsia/eclampsia and stroke in a national scope cohort study. Second, this study reported the two different stroke subtypes and explored the corresponding stroke risks in different follow-up sub-intervals for those women who did not have stroke episodes before that specific sub-interval. Finally, because of the nationwide huge database, we used the exact matching method to increase the comparability of those cohorts, and adjusted for potential confounders, to make the stroke risk estimation more accurate.
This study has several limitations. First, this is a retrospective study and treatment of hypertension may have changed during the long follow-up time of the study. This may have an influence on stroke risk, even though we have adjusted the factor of hypertension in the study. Second, this retrospective study did not distinguish preeclampsia from eclampsia. Because our nationwide database is built for health insurance purpose and women with an insurance diagnosis of eclampsia may have or have not preeclampsia diagnosed earlier during pregnancy, separate estimation of stroke risk for women with pre-eclampsia and eclampsia might not be precise. Further clinical study evaluating the stroke risk of pre-eclampsia and eclampsia individually is needed. Third, our health insurance database provides no information on laboratory data, nor the severity of preeclampsia/eclampsia. In addition, smoking habits, alcohol consumption, and body weight/body mass index are not available in our database. Therefore, we could not evaluate the effects of these factors on stroke.
In summary, our results indicate that the ischemic and hemorrhagic stroke risk of women with preeclampsia/eclampsia history remained high for a long time. Women with preeclampsia/eclampsia history should be aware of stroke risk, even 10 to 15 years after childbirth.
LCC, WYC, SKH, HYL, and MSL acquired the data and supervised the project. CJC, SKH, WYC, LCC, and HYL conceived and designed the study, with input from the other authors. BHY, HJY, and FCH performed the statistical analyses. HJY and WYC wrote the first draft of the manuscript. All authors interpreted the data and contributed to the writing of the paper. All authors revised and approved the final version.
- 1. (1990) National High Blood Pressure Education Program Working Group Report on High Blood Pressure in Pregnancy. Am J Obstet Gynecol 163: 1691–1712. pmid:2104525
- 2. Ghulmiyyah L, Sibai B (2012) Maternal mortality from preeclampsia/eclampsia. Semin Perinatol 36: 56–59. pmid:22280867
- 3. AnanthKarumanchi SEM (2008) Molecular and Genetic Basis of Renal Disease: Elsevier. 441–451 p.
- 4. Duley L (2009) The global impact of pre-eclampsia and eclampsia. Semin Perinatol 33: 130–137. pmid:19464502
- 5. Heida KY, Zeeman GG, Van Veen TR, Hulzebos CV (2012) Neonatal side effects of maternal labetalol treatment in severe preeclampsia. Early Hum Dev 88: 503–507. pmid:22525036
- 6. Hermes W, Franx A, van Pampus MG, Bloemenkamp KW, Bots ML, et al. (2013) Cardiovascular risk factors in women who had hypertensive disorders late in pregnancy: a cohort study. Am J Obstet Gynecol 208: 474.e471–478. pmid:23399350
- 7. Mongraw-Chaffin ML, Cirillo PM, Cohn BA (2010) Preeclampsia and cardiovascular disease death: prospective evidence from the child health and development studies cohort. Hypertension 56: 166–171. pmid:20516394
- 8. Duley L (1992) Maternal mortality associated with hypertensive disorders of pregnancy in Africa, Asia, Latin America and the Caribbean. Br J Obstet Gynaecol 99: 547–553. pmid:1525093
- 9. Khan KS, Wojdyla D, Say L, Gülmezoglu AM, Van Look PF (2006) WHO analysis of causes of maternal death: a systematic review. Lancet 367: 1066–1074. pmid:16581405
- 10. Park Y, Cho GJ, Kim LY, Lee TS, Oh MJ, et al. (2018) Preeclampsia Increases the Incidence of Postpartum Cerebrovascular Disease in Korean Population. J Korean Med Sci 33: e35. pmid:29349936
- 11. Sells CM, Feske SK (2017) Stroke in Pregnancy. Semin Neurol 37: 669–678. pmid:29270940
- 12. Wu P, Haththotuwa R, Kwok CS, Babu A, Kotronias RA, et al. (2017) Preeclampsia and Future Cardiovascular Health: A Systematic Review and Meta-Analysis. Circ Cardiovasc Qual Outcomes 10. pmid:28228456
- 13. Hovsepian DA, Sriram N, Kamel H, Fink ME, Navi BB (2014) Acute cerebrovascular disease occurring after hospital discharge for labor and delivery. Stroke 45: 1947–1950. pmid:24903986
- 14. Tang CH, Wu CS, Lee TH, Hung ST, Yang CY, et al. (2009) Preeclampsia-eclampsia and the risk of stroke among peripartum in Taiwan. Stroke 40: 1162–1168. pmid:19228854
- 15. Brown DW, Dueker N, Jamieson DJ, Cole JW, Wozniak MA, et al. (2006) Preeclampsia and the risk of ischemic stroke among young women: results from the Stroke Prevention in Young Women Study. Stroke 37: 1055–1059. pmid:16484606
- 16. Tate J, Bushnell C (2011) Pregnancy and stroke risk in women. Womens Health (Lond) 7: 363–374. pmid:21612356
- 17. James AH, Bushnell CD, Jamison MG, Myers ER (2005) Incidence and risk factors for stroke in pregnancy and the puerperium. Obstet Gynecol 106: 509–516. pmid:16135580
- 18. MacKay AP, Berg CJ, Atrash HK (2001) Pregnancy-related mortality from preeclampsia and eclampsia. Obstet Gynecol 97: 533–538. pmid:11275024
- 19. Ananth CV, Savitz DA, Bowes WA Jr. (1995) Hypertensive disorders of pregnancy and stillbirth in North Carolina, 1988 to 1991. Acta Obstetricia et Gynecologica Scandinavica 74: 788–793. pmid:8533561
- 20. Moatti Z, Gupta M, Yadava R, Thamban S (2014) A review of stroke and pregnancy: incidence, management and prevention. Eur J Obstet Gynecol Reprod Biol 181: 20–27. pmid:25124706
- 21. Lu JF, Hsiao WC (2003) Does universal health insurance make health care unaffordable? Lessons from Taiwan. Health Aff (Millwood) 22: 77–88. pmid:12757274
- 22. Cheng TM (2003) Taiwan’s new national health insurance program: genesis and experience so far. Health Aff (Millwood) 22: 61–76. pmid:12757273
- 23. Website BoNHI (2000) Methods for estimating false claims.
- 24. de Havenon A, Delic A, Stulberg E, Sheibani N, Stoddard G, et al. (2021) Association of Preeclampsia With Incident Stroke in Later Life Among Women in the Framingham Heart Study. JAMA Netw Open 4: e215077. pmid:33900402
- 25. Kittner SJ, Stern BJ, Feeser BR, Hebel R, Nagey DA, et al. (1996) Pregnancy and the risk of stroke. N Engl J Med 335: 768–774. pmid:8703181
- 26. Cipolla MJ, Liebeskind DS, Chan SL (2018) The importance of comorbidities in ischemic stroke: Impact of hypertension on the cerebral circulation. J Cereb Blood Flow Metab 38: 2129–2149. pmid:30198826
- 27. Lima FO, Furie KL, Silva GS, Lev MH, Camargo EC, et al. (2010) The pattern of leptomeningeal collaterals on CT angiography is a strong predictor of long-term functional outcome in stroke patients with large vessel intracranial occlusion. Stroke 41: 2316–2322. pmid:20829514
- 28. Ahmed N, Wahlgren N, Brainin M, Castillo J, Ford GA, et al. (2009) Relationship of blood pressure, antihypertensive therapy, and outcome in ischemic stroke treated with intravenous thrombolysis: retrospective analysis from Safe Implementation of Thrombolysis in Stroke-International Stroke Thrombolysis Register (SITS-ISTR). Stroke 40: 2442–2449. pmid:19461022
- 29. Leonardi-Bee J, Bath PM, Phillips SJ, Sandercock PA (2002) Blood pressure and clinical outcomes in the International Stroke Trial. Stroke 33: 1315–1320. pmid:11988609
- 30. Kannel WB, Wolf PA, Verter J, McNamara PM (1970) Epidemiologic assessment of the role of blood pressure in stroke. The Framingham study. JAMA 214: 301–310. pmid:5469068
- 31. Kannel WB, Wolf PA, McGee DL, Dawber TR, McNamara P, et al. (1981) Systolic blood pressure, arterial rigidity, and risk of stroke. The Framingham study. JAMA 245: 1225–1229. pmid:7206111
- 32. Steinthorsdottir V, McGinnis R, Williams NO, Stefansdottir L, Thorleifsson G, et al. (2020) Genetic predisposition to hypertension is associated with preeclampsia in European and Central Asian women. Nat Commun 11: 5976. pmid:33239696
- 33. Leffert LR, Clancy CR, Bateman BT, Bryant AS, Kuklina EV (2015) Hypertensive disorders and pregnancy-related stroke: frequency, trends, risk factors, and outcomes. Obstet Gynecol 125: 124–131. pmid:25560114
- 34. Too G, Wen T, Boehme AK, Miller EC, Leffert LR, et al. (2018) Timing and Risk Factors of Postpartum Stroke. Obstet Gynecol 131: 70–78. pmid:29215510
- 35. Kim MK, Lee SM, Bae SH, Kim HJ, Lim NG, et al. (2018) Socioeconomic status can affect pregnancy outcomes and complications, even with a universal healthcare system. Int J Equity Health 17: 2. pmid:29304810
- 36. Lee SH, Lee SM, Lim NG, Kim HJ, Bae SH, et al. (2016) Differences in pregnancy outcomes, prenatal care utilization, and maternal complications between teenagers and adult women in Korea: A nationwide epidemiological study. Medicine (Baltimore) 95: e4630.
- 37. Posthumus AG, Borsboom GJ, Poeran J, Steegers EA, Bonsel GJ (2016) Geographical, Ethnic and Socio-Economic Differences in Utilization of Obstetric Care in the Netherlands. PLoS One 11: e0156621. pmid:27336409
- 38. Aslanyan S, Weir CJ, Lees KR, Reid JL, McInnes GT (2003) Effect of area-based deprivation on the severity, subtype, and outcome of ischemic stroke. Stroke 34: 2623–2628. pmid:14576369
- 39. Wu SH, Woo J, Zhang XH (2013) Worldwide socioeconomic status and stroke mortality: an ecological study. Int J Equity Health 12: 42. pmid:23767844
- 40. Sidorov EV, Feng W, Caplan LR (2011) Stroke in pregnant and postpartum women. Expert Rev Cardiovasc Ther 9: 1235–1247. pmid:21932965
- 41. Fairhall JM, Stoodley MA (2009) Intracranial haemorrhage in pregnancy. Obstet Med 2: 142–148. pmid:27579059
- 42. Vilela P, Duarte J, Goulao A (2001) [Cerebrovascular disease in pregnancy and puerperium]. Acta Med Port 14: 49–54.
- 43. Bushnell C, McCullough LD, Awad IA, Chireau MV, Fedder WN, et al. (2014) Guidelines for the prevention of stroke in women: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 45: 1545–1588. pmid:24503673
- 44. Miller EC, Leffert L (2019) Stroke in Pregnancy: A Focused Update. Anesth Analg.
- 45. Sanders BD, Davis MG, Holley SL, Phillippi JC (2018) Pregnancy-Associated Stroke. J Midwifery Womens Health 63: 23–32. pmid:29369478
- 46. Razmara A, Bakhadirov K, Batra A, Feske SK (2014) Cerebrovascular complications of pregnancy and the postpartum period. Curr Cardiol Rep 16: 532. pmid:25239155
- 47. Miller EC, Gatollari HJ, Too G, Boehme AK, Leffert L, et al. (2017) Risk Factors for Pregnancy-Associated Stroke in Women With Preeclampsia. Stroke 48: 1752–1759. pmid:28546324
- 48. Pankiewicz K, Szczerba E, Maciejewski T, Fijalkowska A (2019) Non-obstetric complications in preeclampsia. Prz Menopauzalny 18: 99–109. pmid:31485207
- 49. Davie CA, O’Brien P (2008) Stroke and pregnancy. J Neurol Neurosurg Psychiatry 79: 240–245. pmid:17986502
- 50. Agatisa PK, Ness RB, Roberts JM, Costantino JP, Kuller LH, et al. (2004) Impairment of endothelial function in women with a history of preeclampsia: an indicator of cardiovascular risk. Am J Physiol Heart Circ Physiol 286: H1389–1393. pmid:15020302
- 51. Chambers JC, Fusi L, Malik IS, Haskard DO, De Swiet M, et al. (2001) Association of maternal endothelial dysfunction with preeclampsia. JAMA 285: 1607–1612. pmid:11268269
- 52. Melchiorre K, Sutherland GR, Baltabaeva A, Liberati M, Thilaganathan B (2011) Maternal cardiac dysfunction and remodeling in women with preeclampsia at term. Hypertension 57: 85–93. pmid:21098311
- 53. Strobl I, Windbichler G, Strasak A, Weiskopf-Schwendinger V, Schweigmann U, et al. (2011) Left ventricular function many years after recovery from pre-eclampsia. BJOG 118: 76–83. pmid:21083867
- 54. Melchiorre K, Sutherland GR, Liberati M, Thilaganathan B (2011) Preeclampsia is associated with persistent postpartum cardiovascular impairment. Hypertension 58: 709–715. pmid:21844489