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Are hypertensive disorders in pregnancy associated with congenital malformations in offspring? Evidence from the WHO Multicountry cross sectional survey on maternal and newborn health

Abstract

Background

Annually, around 7.9 million children are born with birth defects and the contribution of congenital malformations to neonatal mortality is generally high. Congenital malformations in children born to mothers with hypertensive disorders during pregnancy has marginally been explored.

Methods

Country incidence of congenital malformations was estimated using data on the 310 401 livebirths of the WHO Multicountry Survey which reported information from 359 facilities across 29 countries. A random-effect logistic regression model was utilized to explore the associations between six broad categories of congenital malformations and the four maternal hypertensive disorders “Chronic Hypertension”, “Preeclampsia” and “Eclampsia” and “Chronic hypertension with superimposed preeclampsia”.

Results

The occupied territories of Palestine presented the highest rates in all groups of malformation except for the “Lip/Cleft/Palate” category. Newborns of women with chronic maternal hypertension were associated with a 3.7 (95 % CI 1.3–10.7), 3.9 (95 % CI 1.7–9.0) and 4.2 (95 % CI 1.5–11.6) times increase in odds of renal, limb and lip/cleft/palate malformations respectively. Chronic hypertension with superimposed preeclampsia was associated with a 4.3 (95 % CI 1.3–14.4), 8.7 (95 % CI 2.5–30.2), 7.1 (95 % CI 2.1–23.5) and 8.2 (95 % CI 2.0–34.3) times increase in odds of neural tube/central nervous system, renal, limb and Lip/Cleft/Palate malformations.

Conclusions

This study shows that chronic hypertension in the maternal period exposes newborns to a significant risk of developing renal, limb and lip/cleft/palate congenital malformations, and the risk is further exacerbate by superimposing eclampsia. Additional research is needed to identify shared pathways of maternal hypertensive disorders and congenital malformations.

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Background

Annually, around 7.9 million children are born with birth defects [1]. At least 3.3 million children under 5 years of age die from birth defects every year and an estimated 3.2 million of those who survive may be disabled for life [1]. The contribution of congenital malformations to neonatal mortality is generally higher, in lower infant mortality countries [1].

Eclampsia/pre-eclampsia syndrome consists of a state of excessive systemic inflammation causing new-onset proteinuria and hypertension during the second half of pregnancy [2]. Pre-eclampsia affects between two and eight percent [37] of all pregnancies with a worldwide estimation of 8 370 000 cases per year whilst eclampsia ranges from 0.3 to 1.4 % [6, 7]. The syndrome affects both the mother and her fetus and the pathogenesis features an impaired placental perfusion and widespread endothelial cell dysfunction [8, 9]. Severe pre-eclampsia is a major cause of severe maternal/fetal morbidity and adverse perinatal outcomes, such as prematurity and intrauterine growth restriction [10].

Only a few studies have explored the associations between pre-eclampsia and malformations providing inconclusive results: one reported an increased risk of renal dysgenesis (OR 4.7, 95 % CI 1.7–12.8), esophageal atresia/stenosis (OR 4.6, 95 % CI 1.8–12.2) and rectal/anal stenosis (OR 3.7, 95 % CI 1.6–8.5) in the offspring of pregnant women who developed preeclampsia with superimposed chronic hypertension [11] whilst another found that esophageal atresia/stenosis was a greater risk in pregnant women with chronic hypertension (OR 3.1, 95 % CI 1.4–6.8) [12]. Some studies have suggested a correlation between maternal hypertension and severe hypospadias (OR 2.1, 95 % CI 1.6–2.9) [13, 14]. Altered perfusion of placenta and embryo/fetus is being considered as plausible biological pathway [15]; however, there is a dearth of knowledge on the likely common events leading to hypertensive disorders and congenital abnormalities [16] mainly because of the different gestational timing of these two separate events, namely first trimester of gestation for congenital malformation and second/third trimester for hypertensive disorders [17]. Using data collected in 29 countries worldwide as part of the World Health Organization Multicountry Survey (WHOMCS), in this analysis we aimed to examine the association between hypertensive disorders of pregnancy and the risk of congenital malformations in the newborn.

Methods

Settings and participants

The study population and data collection methods used in this survey are described in detailed elsewhere [18]. In brief, the WHOMCS was an international, multi-country, cross-sectional survey for all delivering mothers and their newborns in 359 facilities across 29 countries involving over 1500 collaborators. It was conducted from May 2010 to December 2011 and captured data from over 314 000 deliveries.

The Study involved five WHO regions: African Region (Angola, DR Congo, Kenya, Niger, Nigeria and Uganda); Region of the Americas (Argentina, Brazil, Ecuador, Mexico, Nicaragua, Paraguay and Peru); Eastern Mediterranean Region (Afghanistan, Jordan, Lebanon, occupied Palestinian territory, Palestine, Pakistan and Qatar); South-East Asia Region (India, Nepal, Sri Lanka and Thailand); Western Pacific Region (Cambodia, China, Japan, Mongolia, Philippines and Vietnam).

The hospitals with a minimum of 1000 deliveries per year were identified. Within each country, the capital city was included, along with two randomly selected provinces with probability proportional to their population size. In each province and in the capital city, seven hospitals with over 1000 deliveries per year and the capacity to perform caesarean sections were selected using a multi-stage cluster sampling method.

Participants in the study were all women giving birth during the data collection period in the participating hospitals together with their respective newborns, all maternal near-miss cases and all maternal deaths taking place in the participating hospitals up to seven postpartum/postabortion days, discharge or death (whichever came first), regardless of the gestational age and delivery status.

Data were collected from hospital medical records through daily visits to the obstetrical/postpartum ward, gynecologic/abortion care unit, delivery room and intensive care unit for the duration of 2 months if the hospital had 6000 deliveries/year or and three months if the health facility had less than 6000 deliveries/year [19].

Study population

In the WHOMCS, ascertainment of malformations was made by obstetricians and pediatrician and the inclusion criteria were major congenital anomalies among live births and stillbirths.

All live births (n = 310 401) during the data collection were included to explore the frequency of congenital malformation.

We aimed to evaluate the risk of specific categories of congenital malformation against maternal hypertensive disorders. Multiple pregnancies were excluded from the analysis since more susceptible to maternal complications, potentially distorting estimates. Also stillbirths were excluded from the analysis, as our preliminary analysis indicated that congenital malformations were significantly under-reported in stillbirths.

Mothers and newborns with missing information on status at birth (n = 1426) or number of fetuses (n = 60) were excluded. Individuals with missing values on congenital malformations (n = 20) and maternal hypertensive disorders (n = 9) were also excluded in the analysis leaving a final study population of 302 135 women. See flowchart showing the selection of study participants in Fig. 1.

Fig. 1
figure 1

Study population selection process

Outcomes and exposures

In the WHOMCS, data collectors performed daily visits to the obstetrical/postpartum ward, gynaecologic/abortion care unit, delivery room and intensive care unit to review medical records and extract data from these into individual data forms.

Six categories of congenital malformations were defined for data collector to extract data from the medical records in line with the International Clearinghouse for Birth Defects Monitoring Systems classification [20].

The six groups consisted of: “Neural tube/Central Nervous System” (Anencephaly, Spina Bifida, Encephalocele, Microcephaly, Holoprosencephaly, Hydrocephaly, Anophthalmos/microphtalmos, Anotia/microtia) “Cardiac” (Transposition of great vessels, Tetralogy of Fallot, Hypoplastic left Heart Syndrome, Coarctation of the aorta), “Renal” (Renal agenesis, Cystic kidney, Bladder exstrophy), “Limb” (Polydactyly, Limb reduction defects), “Lip/Cleft/Palate” (Choanal atresia, Cleft palate without cleft lip, Cleft lip with or without cleft palate) and “Chromosomal” (Trisomy 13, Trisomy 18, Down syndrome).

Hypertensive disorders information was collected from delivery records and was categorized into “Chronic Hypertension”, “Preeclampsia” and “Eclampsia”. The study definition for pre-eclampsia was the presence of hypertension (blood pressure >140/90 mmHg) associated with proteinuria in women known to be previously normotensive. Eclampsia was defined as the occurrence of convulsions and/or coma unrelated to other cerebral conditions in women with signs and symptoms of pre-eclampsia. Seizures are of grand mal type and may first appear before labour, during labour or up to 48 h postpartum. Chronic hypertension was defined as a blood pressure >140/90 mmHg diagnosed prior to the onset of pregnancy or before the 20th week of gestation; all women with chronic hypertension and who developed preeclampsia were grouped and classified under the new variable “Chronic hypertension with superimposed preeclampsia”.

Statistical analysis

We determined the frequency of newborns with congenital malformations per 1000 live births for each of the 29 countries participating in the WHOMCS stratified by WHO Region and by Human Development Index (HDI) [21]. Whereas the categorization by WHO regions gives a geographical perspective, it can conceal important epidemiological differences and patterns. HDI is a summary measure of human development. It measures the average achievements in a country in three dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. Categorization of countries by HDI is an increasingly used approach as it pools together more similar countries [22, 23].

We used frequencies to describe the congenital malformation categories by maternal age, marital status, woman education and number of previous births; as health facilities were the primary sampling unit of the WHOMCS, individual-level analyses may be affected by clustering. After excluding missing data, all estimates of association (chi-square tests) were corrected for the cluster effects (health facilities as sampling units, countries as strata) and P < 0.05 was regarded as significant.

Crude and adjusted ORs with 95 % CI were evaluated using a multi-category logistic regression models for the occurrence of any congenital malformation; the adjusted logistic regression model considered potential maternal confounders: age, marital status, woman education and number of previous births. Because of the possible cluster effect of individual analysis [24] we generated the OR adjusted for the random mixed effect of facilities nested within countries and took into account the sampling selection of the additional provinces into account. Considering the large variability of reporting amongst WHO Regions and specifically the very low incidence of congenital malformation reported in the African Region participating countries, we performed a sensitivity analysis excluding the African Region countries.

Stata 13 was used for statistical analyses and p-values <0.05 was regarded as significant.

The WHOMCS was approved by the WHO Ethical Review Committee and the relevant ethical clearance bodies in participating countries and facilities. Written consent from individual participants was not required.

Results

In the WHOMCS, overall 1706 newborns with congenital malformations were recorded, distributed as follows: 322 (1.04 per 1000 livebirths) “Neural tube/Central Nervous System”, 494 (1.59 per 1000 livebirths) “Cardiac”, 136 (0.44 per 1000 livebirths) “Renal”, 367 (1.18 per 1000 livebirths) “Limb”, 212 (0.68 per 1000 livebirths) “Lip/Cleft/Palate” and 175 (0.56 per 1000 livebirths) “Chromosomal”.

By country, the occupied territories of Palestine presented the highest rates in all malformation except for “Lip/Cleft/Palate” where Japan was highest. In the occupied territories of Palestine, it was found a prevalence of 10.2 cases of “Neural tube/Central Nervous System”, 24.6 cases of “Cardiac”, 11.3 cases for “Renal”, 8.2 cases for “Limb” and 3.1 cases for “Chromosomal” (Table 1).

Table 1 The prevalence of newborn with congenital malformations by country per 1000 livebirths

On the other hand, Niger reported only two cases of “Limb”, with a total of 0.2 malformation per 1000 live births.

When considering prevalence of congenital malformations by WHO Regions the highest prevalence of malformations as a whole was reported in the Region of the Americas with 9.2 cases per 1000 live births and the lowest in the African Region with 2.5 cases for 1000 live births (Table 1).

The stratification by HDI showed a clear linear trend as countries with high HDI and very high HDI had the highest frequency of congenital malformations (11.4 per 1000 livebirths and 9.7 per 1000 livebirths respectively) followed countries with medium HDI (4.3 per 1000 livebirths), and finally countries with low HDI (2.7 per 1000 livebirths) (Table 2).

Table 2 The prevalence of newborn with congenital malformations by HDI quartiles per 1000 livebirths

We noted that “Chromosomal” malformations were significantly higher with increasing maternal age and increasing number of previous births; similarly “Cardiac” malformations were significantly more common as maternal age and years of education increase (Table 3).

Table 3 Maternal characteristics in all Congenital Malformations groups

The study population included 1152 women with chronic hypertension, 6163 women with preeclampsia, 765 women with eclampsia and 294 with preeclampsia superimposed on chronic hypertension.

Some variability on reporting exposure data existed across WHO regions: chronic hypertension incidence ranged from 2.3 cases per 1000 livebirths in SEAR to 6.6 cases per 1000 livebirths in AMR; preeclampsia was the lowest in EMR with 12.1 cases per 1000 livebirths and highest in AMR with 38.2 cases per 1000 livebirths; eclampsia varied from a low 1.2 cases per 1000 livebirths in WPR to 5.0 cases each 1000 livebirths in AFR; finally chronic hypertension with superimposed preeclampsia ranged from 0.2 cases per 1000 livebirths in SEAR to 2.1 per 1000 livebirths in AMR.

Table 4 presents the crude and adjusted odd ratios for the four the different categories of hypertensive disorders of pregnancy and the different birth defects considered in this analysis.

Table 4 Crude and adjusted Odds Ratio of pregnancy hypertensive disorders and congenital malformations

When adjusted for covariates and for mixed effects at country and hospital levels, we found that newborns of women with chronic maternal hypertension are at higher risk of renal (aOR 3.7, 95 % CI 1.3–10.7), limb (aOR 3.9, 95 % CI 1.7–9.0) and lip/cleft/palate malformations (aOR 4.2, 95 % CI 1.5–11.6) while preeclampsia held significant associations with “Cardiac” (aOR 2.3, 95 % CI 1.6–3.5). Eclampsia was not associated to the malformation for which data were available (Lip/Cleft/Palate).

The multivariable analysis strengthened the association between the chronic hypertension with superimposed preeclampsia and “neural tube/central nervous system” (aOR 4.3, 95 % CI 1.3–14.4), “Renal” (aOR 8.7, 95 % CI 2.5–30.2), “Limb” (aOR 7.1, 95 % CI 2.1–23.5) and “Lip/Cleft/Palate” (aOR 8.2, 95 % CI 2.0–34.3) malformations (Table 4).

The sensitivity analysis carried without the African countries showed no substantial differences on finding with the original pooled analysis (Table 5).

Table 5 Sensitivity Analysis: Crude and adjusted Odds Ratio of pregnancy hypertensive disorders and congenital malformations excluding AFR countries

Discussion

This multicountry, facility-based survey showed wide differences in the prevalence and ascertainment of congenital abnormalities in facility deliveries across the 29 countries with occupied Palestinian territory the leading country for almost all defects such as “Cardiac” malformations with 24.6 cases per 1000 live births. Conversely some African countries showed the lowest incidence rates like Niger reporting overall only two “Limb” malformations with an overall rate of 0.2 cases per 1000 live births (Table 1). At aggregated level, the highest rates were observed in the American Region and the lowest in Africa Region. On the other hand, higher rates of birth defects were seen in higher HDI countries showing a gradual decrease with lowering HDI. Interpretation of these patterns needs caution as better screening for congenital malformations in countries with higher HDI is likely to be directly related to higher resourced facilities which in turn would explain higher identification and reporting rates in these countries. We cannot rule out that this as a reason for the lower rates in the African Region (0.25 %).

These figures deserve a number of considerations involving accuracy and can very likely be considered underestimates. We excluded stillbirths and multiple pregnancies from the analysis despite the fact that congenital abnormalities generally accounts for a considerable proportion of all stillbirths.

In addition, although the WHOMCS was conducted mainly in secondary and tertiary facilities, and these data might not be representative of newborn outcomes and maternal conditions in smaller facilities or in the community; it is also likely that some selective ascertainment occurred in relation to maternal pathologic conditions. We also compared our results for specific malformation categories with other national sources [20] for countries such as Japan where we found no substantive differences. The 2012 Annual Report of the International Clearinghouse for Birth Defects Surveillance and Research reported between 2 and 3 lip/cleft/palate malformations per 1000 total births (livebirths and stillbirths) for Japan compared to 2.2 per 1000 livebirths of the WHOMCS.

On the other hand the true rate of cardiovascular defects is around 1 %, known from numerous studies [25, 26], whilst in this study the overall rate is only 0.16 %, again indicating a certain level of under ascertainment.

Even though our dataset does not provide specific information on consanguinity, high frequency of congenital disorders in countries of the Eastern Mediterranean Region is largely regarded as due to consanguineous marriage, 25–70 % of unions involve related family members: parental consanguinity increases the birth prevalence of autosomal recessive birth defects and the risk of neonatal and childhood death, intellectual disability and serious birth defects is almost doubled for first cousin unions [2730].

Our analysis revealed around four times increased odds of “renal”, “limb” and “lip/cleft/palate” malformations associated with chronic maternal hypertension (Table 4); these associations were further increased in the condition of chronic hypertension with superimposed preeclampsia where adjusted odds ratio ranged from 7.1 for “limb” to 8.7 for “renal” malformations. The analysis also showed 2.3 and 1.6 times increased odd of respectively “cardiac” and “other” malformations due to preeclampsia as well as 4.3 times increased odd of “neural tube/central nervous system” malformations due to chronic hypertension with superimposed preeclampsia.

Since no correlation was detected between WHO regions with respect to registered malformations risk and registered hypertension risk the association between the two variables is likely to be true.

Pregnant women with chronic hypertension presumably had this condition prior to conception and throughout pregnancy; therefore, during the critical period for organogenesis where major congenital abnormalities can develop, it is important to remark how a “dose/effect relationship” manifests when considering the increased risk of renal, limb and lip/cleft/palate malformations due to the chronic hypertension with superimposed preeclampsia when compared with the significant associations of the same defects with only chronic hypertension. This effect has also been shown in a recent large case–control study in US although this study did not find statistically significant association between hypertensive disorders and these specific birth defects [31].

The association between chronic hypertension with superimposed preeclampsia with renal dysgenesis has been reported by a previous case–control study [12]; however we should address the lack of information in our datasets concerning use of angiotensin-converting enzyme inhibitors and angiotensin II receptor inhibitors/antagonists which are contraindicated in pregnant women due to their teratogenicity [32].

Other studies found similar effects of beta-blockers [33] and suggested that the general effect of anti-hypertensives could be an effect of drug-induced fetal hypotension or an effect of the underlying disease [34].

It is difficult to determine what possible mechanisms may have led to the association of chronic hypertension with higher rates of limb and lip/cleft/palate defects.

The lack of association between preeclampsia and most of congenital malformations can be explained by the onset of this hypertensive disorder after the first trimester; nevertheless the association of preeclampsia with cardiac defects might be explained in line with a common genetic predisposition for angiogenic/anti-angiogenic imbalance in maternal and fetal blood [35].

It also not obvious to argue a causal effect of chronic hypertension with superimposed preeclampsia on the insurgence of neural tube defects; however a recent article put the evidence on the effect of the folic acid supplementation, well known for protecting from the risk of neural tube/spina bifida [36, 37], in reducing the risk of gestational hypertension and preeclampsia [38] suggesting again a common pathway for the two conditions.

Strengths of this analysis include the large and multi-country dataset for the purpose of exploring the incidence of congenital malformation and its association with hypertensive disorders of pregnancy. Consistency in study methodology and definitions across facilities and countries enhance comparability. In addition, the large sample size allows for stratification by type of hypertensive disorder providing more clinical relevance.

This analysis presents several limitations. In the WHOMCS, a specific ascertainment of congenital malformations was not carried out and only broader groups of congenital malformations were included. Hence we were not able to consider the specific birth defect categories that may be associated with hypertensive disorders. In this regard, we were unable to assess associations between specific congenital malformations (such as esophageal atresia and hypospadias) and hypertensive disorders that have been identified in other studies [1114]. Another limitation concerns the outcome variable, congenital malformations, being ascertained at birth or immediately after birth. Some birth defects like several cardiac lesions appear late (there may be delayed appearance/capture even up to 5 years) [17].

For the exposure variables (“Eclampsia”, “Pre-eclampsia” and “Chronic Hypertension”) time of onset or duration of exposure is not specified in WHOMCS database. This is important since many congenital malformations occur before 8 weeks of gestation and risk lies in pre-conception period. In addition, the WHOMCS did not collect data on antihypertensive medication exposure and other risk factors associated with a number of specific birth defects. Many other major risk factors (eg. diabetes, smoking, obesity, alcohol use) were not available to give adjusted OR. ORs were calculated only for age, education, previous births and marital Status.

Disparities in the ascertainment of congenital malformations in high and low HDI countries is clearly apparent with very high and high HDI countries reporting a majority of congenital malformations even with lesser number of live births.

Conclusions

To our knowledge this is one of the few analyses reporting estimate the prevalence of congenital malformation in facilities in middle and low income countries where more than 90 % of all infants with a serious birth defect are born and where many of them will die young because of lack of adequate health care services [39]. A concerted effort to start a systematic collection, analysis and dissemination of data on congenital malformation is crucial for the years to come when the burden of disease will increase with the steady proportional decrease of post neonatal mortality. As a step towards this objective, in 2014 WHO published a manual intended to serve as a tool for the development, implementation and ongoing improvement of congenital anomalies surveillance programmes, particularly for countries with limited resources [40].

In view of findings and characteristics of our study we also suggest additional research on associations and possible common pathogenesis pathways in maternal hypertensive disorders and congenital defects, given their roles in maternal and child morbidity and mortality.

Abbreviations

AFR, African Region; AMR, American Region; EMR, Eastern Mediterranean Region; HDI, human development index; MCS, multi-country survey; SEAR, South-East Asian Region; WHO, World Health Organization; WPR, Western Pacific Region

References

  1. Christianson A, Howson CP, Modell B. March of Dimes, Global Report on birth defects. White Plains: March of Dimes Birth Defects Foundation; 2006.

    Google Scholar 

  2. Steegers EA, von Dadelszen P, Duvekot JJ, Pijnenborg R. Pre-eclampsia. Lancet. 2010;376(9741):631–44.

    Article  PubMed  Google Scholar 

  3. Duley L. The global impact of pre-eclampsia and eclampsia. Semin Perinatol. 2009;33(3):130–7.

    Article  PubMed  Google Scholar 

  4. Villar K. Eclampsia and pre-eclampsia: a health problem for 2000 years. In: Critchley H et al., editors. Preeclampsia, 189–207. London: RCOG Press; 2003.

    Google Scholar 

  5. Sibai BM. Diagnosis and management of gestational hypertension and preeclampsia. Obstet Gynecol. 2003;102:181–92.

    PubMed  Google Scholar 

  6. Abalos E, Cuesta C, Carroli G, Qureshi Z, Widmer M, Vogel JP, Souza JP. WHO Multicountry Survey on Maternal and Newborn Health Research Network. Pre-eclampsia, eclampsia and adverse maternal and perinatal outcomes: a secondary analysis of the World Health Organization Multicountry Survey on Maternal and Newborn Health. BJOG. 2014;121 Suppl 1:14–24.

    Article  PubMed  Google Scholar 

  7. Abalos E, Cuesta C, Grosso AL, Chou D, Say L. Global and regional estimates of preeclampsia and eclampsia: a systematic review. Eur J Obstet Gynecol Reprod Biol. 2013;170(1):1–7.

    Article  PubMed  Google Scholar 

  8. Roberts JM, Taylor RN, Goldfien A. Clinical and biochemical evidence of endothelial cell dysfunction in the pregnancy syndrome preeclampsia. Am J Hypertens. 1991;4(8):700–8.

    CAS  PubMed  Google Scholar 

  9. Hall JE, Granger JP, do Carmo JM, et al. Hypertension: physiology and pathophysiology. Compr Physiol. 2012;2(4):2393–442.

    PubMed  Google Scholar 

  10. Zupan J. Perinatal Mortality in Developing Countries. N Eng J Med. 2005;352(20):2047–8.

    Article  CAS  Google Scholar 

  11. Bánhidy F, Acs N, Puhó EH, Czeizel AE. Chronic hypertension with related drug treatment of pregnant women and congenital abnormalities in their offspring: a population-based study. Hypertens Res. 2011;34(2):257–63.

    Article  PubMed  Google Scholar 

  12. Bánhidy F, Szilasi M, Czeizel AE. Association of pre-eclampsia with or without superimposed chronic hypertension in pregnant women with the risk of congenital abnormalities in their offspring: a population-based case–control study. Eur J Obstet Gynecol Reprod Biol. 2012;163(1):17–21.

    Article  PubMed  Google Scholar 

  13. Caton AR, Bell EM, Druschel CM, et al. National Birth Defects Prevention Study. Maternal hypertension, antihypertensive medication use, and the risk of severe hypospadias. Birth Defects Res A Clin Mol Teratol. 2008;82(1):34.

    Article  CAS  PubMed  Google Scholar 

  14. Huisma F, Thomas M, Armstrong L. Severe hypospadias and its association with maternal-placental factors. Am J Med Genet A. 2013;161(9):2183–7.

    Article  Google Scholar 

  15. Caton AR, Bell EM, Druschel CM, et al. Antihypertensive medication use during pregnancy and the risk of cardiovascular malformations. Hypertension. 2009;54(1):63–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Shepard TH, Lemire RJ. Catalog of teratogenic agents. 11th ed. Baltimore: Johns Hopkins University Press; 2004.

    Google Scholar 

  17. Czeizel AE. Specified critical period of different congenital abnormalities: a new approach for human teratological studies. Congenit Anom (Kyoto). 2008;48(3):103–9.

    Article  Google Scholar 

  18. Souza JP, Gülmezoglu AM, Carroli G, Lumbiganon P, Qureshi Z, WHOMCS Research Group.WHOMCS Research Group. The world health organization multicountry survey on maternal and newborn health: study protocol. BMC Health Serv Res. 2011;11:28.

    Article  Google Scholar 

  19. Souza JP, Gulmezoglu AM, Vogel J, et al. Moving beyond essential interventions for reduction of maternal mortality (the WHO Multicountry Survey on Maternal and Newborn Health): a cross-sectional study. Lancet. 2013;381(9879):1747–55.

    Article  PubMed  Google Scholar 

  20. http://www.icbdsr.org/filebank/documents/ar2005/Report2012.pdf; accessed on 18 Dec 2013

  21. World Bank. World Development Indicators 2009. Washington: World Bank; 2009.

    Book  Google Scholar 

  22. Vogel PV, Betran AP, Vindevoghel N, et al. Using the Robson classification to assess caesarean section trends in 21 countries: a secondary analysis of two WHO multi-country surveys. Lancet Global Health. 2015;3(5):e260–70.

    Article  PubMed  Google Scholar 

  23. Ye J, Zhang J, Mikolajczyk R, Torloni MR, Gulmezoglu AM, Betran AP. Association between rates of cesarean section and maternal and neonatal mortality in the 21st century: A worldwide population-based ecological study with longitudinal data. BJOG. 2016;123(5):745–53.

    Article  CAS  PubMed  Google Scholar 

  24. Donner A, Klar N. Methods for comparing event rates in intervention studies when the unit of allocation is a cluster. Am J Epidemiol. 1994;140:279–89.

    CAS  PubMed  Google Scholar 

  25. Glidewell J, Olney RS, Hinton C, Pawelsky J, Sontag M, Wood T, et al. State Legislation, Regulations, and Hospital Guidelines for Newborn Screening for Critical Congenital Heart Defects- United States, 2011-2014. MMWR Morb Mortal Wkly Rep. 2015;64(23):625–30.

    PubMed  Google Scholar 

  26. Van der Linde D, Konings EE, Slager MA, Witsenburg M, Helbing WA, Takkenberg JJ, et al. Birth prevalence of congenital heart disease worldwide: a systematic review and meta-analysis. J Am Coll Cardiol. 2011;58(21):2241–7.

    Article  PubMed  Google Scholar 

  27. Hussain R, Bittles AH, Sullivan S. Consanguinity and early mortality in the Muslim populations of India and Pakistan. Am J Hum Biol. 2001;13(6):777–87.

    Article  CAS  PubMed  Google Scholar 

  28. Bittles AH, Mason WM, Greene J, Rao NA. Reproductive behavior and health in consanguineous marriages. Science. 1991;252(5007):789–94.

    Article  CAS  PubMed  Google Scholar 

  29. Rittler M, Liascovich R, López-Camelo J, Castilla EE. Parental consanguinity in specific types of congenital anomalies. Am J Med Genet. 2001;102(1):36–43.

    Article  CAS  PubMed  Google Scholar 

  30. Modell B, Kuliev AM. Impact of public health on human genetics. Clin Genet. 1989;36(5):286–98.

    CAS  PubMed  Google Scholar 

  31. Van Gelder M, Van Bennekom C, Louik C, Werler M, Roeleveld N, Mitchell A. Maternal hypertensive disorders, antihypertensive medication use, and the risk of birth defects: a case–control study. BJOG. 2015;122(7):1002–9.

    Article  PubMed  Google Scholar 

  32. Cooper WO, Hernandez-Diaz S, Arbogast PG, et al. Major Congenital malformations after first-trimester exposure to ACE inhibitors. N Engl J Med. 2006;354(23):2443–51.

    Article  CAS  PubMed  Google Scholar 

  33. Lennestal R, Otterblad Okausson P, Kallen B. Maternal Use of antihypertensive drugs in early pregnancy and delivery outcome, notably the presence of congenital heart defects in the infants. Eur J Clin Pharmacol. 2009;65(6):615–25.

    Article  CAS  PubMed  Google Scholar 

  34. Rey E, Couturier A. The prognosis of pregnancy in women with chronic hypertension. Am J Obstet Gynecol. 1994;171(2):410–6.

    Article  CAS  PubMed  Google Scholar 

  35. Sliwa K, Mebazaa A. Possible joint pathways of early pre-eclampsia and congenital heart defects via angiogenic imbalance and potential evidence for cardio-placental syndrome. Eur Heart J. 2014;35(11):680–2.

    Article  PubMed  Google Scholar 

  36. Nevin NC, Seller MJ. Prevention of neural tube defect recurrences. Lancet. 1990;335:178–9.

    Article  CAS  PubMed  Google Scholar 

  37. MRC Vitamin Study Research Group. Prevention of neural tube defects: Results of the Medical Research Council Vitamin Study. Lancet. 1991;338(8760):131–7.

    Article  Google Scholar 

  38. Li Z, Ye R, Zhang L, Li H, Liu J, Ren A. Folic acid supplementation during early pregnancy and the risk of gestational hypertension and preeclampsia. Hypertension. 2013;61(4):873–9.

    Article  CAS  PubMed  Google Scholar 

  39. Christianson A, Modell B. Medical genetics in developing countries. Annu Rev Genomics Hum Genet. 2004;5:219–65.

    Article  CAS  PubMed  Google Scholar 

  40. WHO/CDC/ICBDSR. Birth defects surveillance: a manual for programme managers. Geneva: World Health Organization; 2014.

    Google Scholar 

Download references

Acknowledgements

We would like to express our gratitude to Prof. Pierpaolo Mastroiacovo, director of the International Clearinghouse for Birth Defects Surveillance and Research in Rome, Italy, for his expert opinion on birth defects.

Funding

No funding was obtained for this study.

Availability of data and materials

Data are available on request from the Department of Reproductive Health and Research, World Health Organization (reproductivehealth@who.int).

Authors’ contributions

SB and MMA are the project leaders for the study. SB and MMA wrote the first draft and made revisions. SB conducted the data analysis. SB and MMA directed the work. SB, MMA, EA, APB, JK, CP, JPV, MM contributed to the interpretation of the results and critically commented and provided revisions to the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

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Not applicable.

Ethics approval and consent to participate

Individual informed consent from the individual study participants was not necessary since data were extracted from the health facility medical records without any identification.

The WHO Multicountry Survey was approved by the WHO ethical review committee and the relevant ethical clearance mechanisms in all countries.

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Correspondence to M. M. Ali.

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Bellizzi, S., Ali, M.M., Abalos, E. et al. Are hypertensive disorders in pregnancy associated with congenital malformations in offspring? Evidence from the WHO Multicountry cross sectional survey on maternal and newborn health. BMC Pregnancy Childbirth 16, 198 (2016). https://doi.org/10.1186/s12884-016-0987-8

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