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The Burden of Eclampsia: Results from a Multicenter Study on Surveillance of Severe Maternal Morbidity in Brazil

  • Juliana C. Giordano,

    Affiliation Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil

  • Mary A. Parpinelli ,

    Affiliation Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil

  • Jose G. Cecatti,

    Affiliations Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil, Center for Studies on Reproductive Health of Campinas (CEMICAMP), Campinas, São Paulo, Brazil

  • Samira M. Haddad,

    Affiliation Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil

  • Maria L. Costa,

    Affiliation Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil

  • Fernanda G. Surita,

    Affiliation Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil

  • Joao L. Pinto e Silva,

    Affiliation Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil

  • Maria H. Sousa

    Affiliation Center for Studies on Reproductive Health of Campinas (CEMICAMP), Campinas, São Paulo, Brazil

The Burden of Eclampsia: Results from a Multicenter Study on Surveillance of Severe Maternal Morbidity in Brazil

  • Juliana C. Giordano, 
  • Mary A. Parpinelli, 
  • Jose G. Cecatti, 
  • Samira M. Haddad, 
  • Maria L. Costa, 
  • Fernanda G. Surita, 
  • Joao L. Pinto e Silva, 
  • Maria H. Sousa


1 Jul 2014: The PLOS ONE Staff (2014) Correction: The Burden of Eclampsia: Results from a Multicenter Study on Surveillance of Severe Maternal Morbidity in Brazil. PLOS ONE 9(7): e102208. View correction



Maternal mortality (MM) is a core indicator of disparities in women’s rights. The study of Near Miss cases is strategic to identifying the breakdowns in obstetrical care. In absolute numbers, both MM and occurrence of eclampsia are rare events. We aim to assess the obstetric care indicators and main predictors for severe maternal outcome from eclampsia (SMO: maternal death plus maternal near miss).


Secondary analysis of a multicenter, cross-sectional study, including 27 centers from all geographic regions of Brazil, from 2009 to 2010. 426 cases of eclampsia were identified and classified according to the outcomes: SMO and non-SMO. We classified facilities as coming from low- and high-income regions and calculated the WHO’s obstetric health indicators. SPSS and Stata softwares were used to calculate the prevalence ratios (PR) and respective 95% confidence interval (CI) to assess maternal characteristics, clinical and obstetrical history, and access to health services as predictors for SMO, subsequently correlating them with the corresponding perinatal outcomes, also applying multiple regression analysis (adjusted for cluster effect).


Prevalence of and mortality indexes for eclampsia in higher and lower income regions were 0.2%/0.8% and 8.1%/22%, respectively. Difficulties in access to health care showed that ICU admission (adjPR 3.61; 95% CI 1.77–7.35) and inadequate monitoring (adjPR 2.31; 95% CI 1.48–3.59) were associated with SMO.


Morbidity and mortality associated with eclampsia were high in Brazil, especially in lower income regions. Promoting quality maternal health care and improving the availability of obstetric emergency care are essential actions to relieve the burden of eclampsia.


Eclampsia is a rare, however potentially life-threatening complication of the hypertensive disorders (HD) of pregnancy, accountable for large numbers in morbidity and deaths among women of reproductive age and their offspring [1][4]. The estimate of incidence and the burden of eclampsia is still a challenging pursuit worldwide; currently only seven countries have national data on the topic [5]. A systematic review on preeclampsia (PE) and eclampsia, performed in 2013, indicated that the crude incidence of eclampsia fluctuates from 0 to 0.1% in Europe and up to 4% in Nigeria; Brazilian studies showed a 0.6% incidence [5], [6]. Nonetheless, 94.6% of the data were collected in the USA, highlighting a marked regionalization bias and, therefore, the need for more studies, especially in low- and middle-income countries (LMIC) [5], [7].

The case fatality rate (number of deaths/number of cases) of eclampsia ranges from 0–1.8% in high-income countries up to 17.7% in India, emphasizing a huge gap in the quality of maternal health care according to social and economic patterns [8]. Over a one-year period, the Swedish Medical Birth Register identified no maternal death due to eclampsia, whilst in India, in the same period, only one hospital reported 11 eclampsia-related deaths [8][10].

Reducing maternal mortality (MM) by three quarters is one of the United Nations’ Millennium Development Goals [11]. Nearly the totality of women who die from pregnancy-related causes comes from LMIC [2], [3]. According to the Brazilian Ministry of Health, there has been a substantial reduction of maternal deaths (MD) in the country from 1990 to 2010, i.e., a decrease from 141 to 62 deaths for 100,000 live births (LB) [12]. Nevertheless, in order to achieve the MDG5 by 2015, Brazil would have to halve this number, what seems to be a very difficult mission to pursue.

Recently, the World Health Organization (WHO) defined the presence of organ dysfunction or failure during pregnancy, childbirth or postpartum as maternal near miss (NM). A woman who fulfills one of the clinical, laboratory or management criteria established by WHO is a NM case. From a theoretical perspective, the NM cases should be as similar to maternal deaths as possible [13][17].

Childbirth care in LMIC is usually associated with difficult access to adequate maternity services [2], [3], [7]. In Brazil, although 98% of pregnant women do deliver their babies in hospitals, a large number of these facilities are not well equipped to deal with pregnancy-related complications. The shortage of intensive care units (ICU) to where such women can be transferred is still a worrying reality in several settings [12]. In addition the proportion of facilities with adequately trained staff to deal with complications is not known at all.

MM is amongst the worst-performing health indicators in resource-poor settings. In absolute numbers, both maternal mortality and the occurrence of eclampsia are rare events [2], [3], [16], [17]. The only Brazilian national data on eclampsia is the total number of deaths, 167 cases in 2010, with a maternal mortality ratio (MMR) of 5.83 [18]. It is with the intent of filling this epidemiological gap that our study aims to assess the obstetric care indicators and main predictors for severe maternal outcomes from eclampsia (SMO: maternal death plus maternal near miss).


Our study is a secondary analysis of The Brazilian Network for Surveillance of Severe Maternal Morbidity Study. The purpose of this network was to identify cases of severe maternal morbidity/near miss, using the criteria recently established by WHO to characterize these conditions [16]. According to this definition, a maternal near miss case is a woman who experienced a very serious complication during pregnancy and as a consequence almost died, surviving at least until the 42nd day after childbirth. The methods of the Brazilian Network have already been described in details elsewhere [19], [20].

Briefly, it was a cross-sectional multicenter study conducted from July 2009 to June 2010, involving 27 hospitals from all different regions of Brazil, excluding the Federal District. From those 27 centers, 95% of cases were insured by SUS, the Brazilian publicly funded health system. Brazil is geographically divided into 5 different regions and one Federal District: North (N), Northeast (NE), Midwest (MW), South (S) and Southeast (SE). We assembled these regions into 2 major groups, according to their 2000, human development index (HDI) [21]. According to this definition, S and SE were high HDI regions and N, NE and MD were low HDI regions. We then calculated the indicators proposed by WHO to monitor the quality of obstetric care using maternal near miss and maternal death cases with eclampsia [16].

During this period, out of the 9,555 women who were diagnosed with severe maternal complications, 6,706 presented with severe hypertensive disorders and 426 were admitted with, or developed, eclampsia during hospitalization. Eclampsia was identified by the occurrence of tonic-clonic seizures - including seizures and coma - that occurred during pregnancy, delivery or puerperium and that were not related to preexisting organic brain disorders [1].

Main Outcomes

Maternal outcomes for eclampsia during pregnancy, childbirth or puerperium were considered in two different groups:

Non-Severe Maternal Outcome (non-SMO).

All cases of eclampsia in the absence of organ failure/dysfunction were classified as non-SMO; this is the comparison group.

SMO (Severe maternal outcome).

All cases of maternal death or maternal near miss.

  • Maternal Near Miss (NM): cases that fulfilled at least one of the clinical, laboratory or management criteria representing life-threatening conditions (i.e., organ failure/dysfunction) and who survived this condition. Figure 1.
  • Maternal Death (MD): death during pregnancy or within 42 days post-partum, regardless length or site of pregnancy, from any cause related to or aggravated by the pregnancy or its management, yet not from accidental or incidental causes.


Information on age, skin color, marital status, schooling and parity were analyzed as possible predictors of SMO from eclampsia, as they are already been identified in some studies as predictors for eclampsia [4], [22], [23].

Previous disease was defined as any pathological condition diagnosed before or during pregnancy, but not related to it. Chronic hypertension was defined as the presence of high blood pressure (BP) ≥140×90 mmHg diagnosed before the 20th week of pregnancy, after two measurements within a minimum interval of 4 hours, regardless of the use of medications [1].

We selected the most frequent associated complications during admission period: hemorrhage, HELLP syndrome, severe hypertension, pulmonary edema and severe sepsis. Coagulation disorders, shock, jaundice concomitantly with preeclampsia and cerebrovascular accident are part of the NM definition criteria, and were therefore excluded from the analysis because of their behavior as interacting variables.

The use of magnesium sulphate (MgSO4) for the prevention and management of eclampsia was assessed as a dichotomous variable (use and non-use) because the data collection form had no information on the exact period of time when clinical events occurred or procedures were performed, Therefore the opportunity of its use could not be detailed assessed.

Post-partum admission was regarded as a worse outcome, based upon the assumption that the eclamptic women who were admitted after giving birth had to be transferred to a health center capable of delivering a better care. Bearing in mind that not all the Brazilian health facilities caring for pregnant women are equipped with an ICU or have an ICU bed promptly available (most ICUs operate at their full capacity at any given time), we had to assume that only the most complicated cases of eclampsia were admitted to ICU. In addition to this inference, ICU availability was also assessed by the variable “inadequate monitoring”, translated into availability or not of ICU care.

Our study had local coordinators who were trained to gather accurate information from both health care providers involved with the care at its initial phases and from medical records, aiming to address as many aspects of care as possible. We classified and defined the variables “lack of drug”,inadequate monitoring”, “delay for transfer”, “lack of staff”, “delay for diagnosis”, “not opportune treatment” and “inadequate management” to evaluate the access to and quality of appropriate obstetric emergency care. This was performed by both the local investigator and coordinator and then checked by the study team of the coordinating center.

We finally analyzed the perinatal outcomes and mode of delivery in SMO cases. The variables were defined as follows: cut-off point for gestational age at delivery, determined by clinical criteria (less than 33 weeks and ≥34 weeks); mode of delivery, listed as cesarean section or vaginal birth; perinatal outcome (stillbirth or live birth); birth weight (<2500 or ≥2500 grams); neonatal outcome (defined as neonatal ICU admission, neonatal death, i.e., death until 28 days of life, or hospital discharge); fifth minute Apgar score (<7 and from 7 to 10 indicates, respectively low and high vitality score at birth); and perinatal death (stillbirth plus neonatal death <7 days).

Statistical Analysis

Bivariate analysis was performed to identify factors (predictors) associated with SMO (maternal NM or MD) by estimating prevalence ratios (PR) and their respective 95% confidence intervals (CI), adjusted for cluster effect (maternal hospital or centers) [24]. Access to health care facilities, maternal characteristics, complications and procedures related to and/or used for management of eclampsia, other than those already used for NM case definition according to the WHO criteria, were described comparatively among women from both groups, with differences assessed by a Chi-square test. Additionally the hazard of perinatal outcomes including the mode of delivery was also estimated for women who progressed towards an SMO, with adjusted PR and their respective 95% confidence interval (CI). Finally, Poisson multiple regression analysis was performed in 321 cases in which all variables were available and adjusted by cluster and all other predictors. The primary sampling units of our study were the health care facilities and therefore it was necessary to adjust the analysis by the cluster effect [25]. The softwares used for the analysis were SPSS version 17 (SPSS, Chicago, IL, USA) and Stata version 7.0 (StataCorp, College Station, TX, USA).

Quality Control

The network database was fed with information extracted from the medical records, transcribed manually onto the data collection form by local investigators and later on transferred to the electronic forms. The technical procedures for case selection and accurate form filling were detailed explained in the respective manual of operation. Local study coordinators performed systematic quality control of data, so that possible incongruences could be identified. One of the investigators from the coordinating center visited the institutions taking part of this study, aiming to verify the consistency of the information retrieved from both manually- and electronically-filled collection forms in light of the case reports of the study subjects, randomly selecting such cases. The final quality control was performed by the application of logical consistency and review of database.

Ethical Statement

This study is a secondary analysis; all records were obtained through the database of the main study, the Brazilian Network for Surveillance of Severe Maternal Morbidity. According to the rules of the sponsor agency the database is not of public domain and the principal investigators are the owners of the data, being responsible for its use for scientific purposes. We followed all the principles that regulate research on human beings defined by the Brazilian National Health Council, as well as the Declaration of Helsinki. There was no need for an Informed Consent Form, since data were collected from medical records post–discharge or post-mortem and no contact occurred with the subjects. Local IRBs (listed below) and the National Committee of Ethics in Research (CONEP, Brazilian Ministry of Health) approved the study, under the letter of approval 097/2009. The National Council for Ethics in Research and the Institutional Review Boards of each site granted a waiver of individual informed consent.

The Review Boards of the following institutions reviewed and approved this study: Maternidade Cidade Nova Dona Nazarina Daou (Manaus, AM), Maternidade Climério de Oliveira (Salvador, BA), Hospital Geral de Fortaleza (Fortaleza, CE), Hospital Geral Dr. César Cals (Fortaleza, CE), Maternidade Escola Assis Chateaubriand (Fortaleza, CE), Hospital Materno Infantil de Goiania (Goiania, GO), Hospital Universitário da Universidade Federal do Maranhao (Sao Luis, MA), Maternidade Odete Valadares (Belo Horizonte, MG), Instituto de Saúde Elıdio de Almeida (Campina Grande, PB), Hospital Universitário Lauro Wanderley da Universidade Federal da Paraiba (Joao Pessoa, PB), Centro Integrado de Saúde Amaury de Medeiros (Recife, PE), Instituto de Medicina Integral Prof. Fernando Figueira (Recife, PE), Hospital das Clınicas da Universidade Federal de Pernambuco (Recife, PE), Hospital das Clınicas da Universidade Federal do Paraná (Curitiba, PR), Hospital Maternidade Fernando Magalhaes (Rio de Janeiro, RJ), Instituto Fernandes Figueira (Rio de Janeiro, RJ), Hospital das Clinicas da Universidade Federal do Rio Grande do Sul (Porto Alegre, RS), Faculdade de Medicina de Botucatu da Universidade Estadual Paulista (Botucatu, SP), Hospital da Mulher da Universidade Estadual de Campinas (Campinas, SP), Hospital e Maternidade Celso Pierro da Pontifıcia Universidade Católica (Campinas, SP), Hospital Israelita Albert Einstein (São Paulo, SP), Faculdade de Medicina de Jundiaí (Jundiaı, SP), Hospital das Clınicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (Ribeirão Preto, SP), Santa Casa de Limeira (Limeira, SP), Santa Casa de São Carlos (São Carlos, SP), Casa Maternal Leonor Mendes de Barros (São Paulo, SP), Hospital São Paulo da Universidade Federal de São Paulo (São Paulo, SP).


In the one-year study period, there were 82,388 women admitted to the 27 maternity hospitals participating in the study; these women gave birth to 82,144 live births (LB). 9,555 women presented pregnancy-related severe complications and met the study inclusion criteria. Out of this population, 910 women progressed to SMO (770 maternal NM and 140 maternal deaths); 20% of cases of eclampsia, 4% of cases of other severe hypertensive disorders (excluding eclampsia) and 17% of other morbidities (infectious and hemorrhagic disorders) developed SMO. Respectively, almost 4% of cases of eclampsia and other morbidities and 0.4% of cases of other severe hypertensive disorders died. (Figure 2).

Figure 2. Distribution of Non-SMO, MNM and MD in women with eclampsia, others SHD and other morbidities [Non-SMO = women without severe maternal outcomes (MNM or MD), SMO = Severe maternal outcome (MNM = maternal near miss or MD = maternal death), SHD = severe hypertensive disorders].

The total prevalence of eclampsia was 5.2 (per 1000 LB) and a specific MMR of 19.5 (per 100,000 LB). The total mortality index was 18.6%, 2.7 times higher in the Brazilian regions of lower HDI: 22.6% gathering the Midwest, Northeast and North regions, and 8.3% for South and Southeast regions (Table 1).

Table 1. Obstetric health indicators for eclampsia to total of cases and according to the level of income from the Brazilian regions where the facilities are located.

Approximately 70% of all eclamptic women were primiparous. The median age of the cases was 20 years, with the youngest being 13 and the eldest 44 (data not showed in tables). Amongst the maternal characteristics, obstetric background and medical history, the only factors associated with the risk of SMO from eclampsia were any previous disease and chronic hypertension. Medical histories of any previous disease were present in 27% of the cases and almost doubled the risk of SMO (PR 1.86; CI 1.35–2.57) (Table 2).

Table 2. Rate of SMO and estimated risk of SMO for eclampsia according to maternal characteristics, obstetric background and medical history.

Moreover, the adequacy of the prenatal care received, indirectly evaluated by the number of visits corrected for gestational age at birth, was appropriate in more than 67% of the total number of cases and the moment of hospital admission, if still during pregnancy (80%) or after giving birth (20%), showed no association with worse outcome amongst eclamptic women (Table 3).

Table 3. Rate of SMO and estimated risk of SMO for eclampsia according to several characteristics concerning access to health care facilities.

Variables used to evaluate the access to health care demonstrated a robust association with the risk of SMO from eclampsia (Table 3). ICU admission (PR 4.70; 95% CI 2.81–7.84), inadequacies of monitoring (PR 2.94; 95% CI 2.13–4.07); delay for transfer (PR 2.32; 95% CI 1.33–4.05); lack of trained staff (PR 1.88; 95% CI 1.20–2.93); delay for diagnosis (PR 2.29; 95% CI 1.42–3.69), not opportune treatment (PR 2.27; 95% CI 1.48–3.46) and inadequate management of the case (PR 1.86; 95% CI 1.33–2.60) led to a two- to four-fold increased in the risk of SMO.

Poisson multiple regression analyses confirmed admission to ICU, lack adequate monitoring, severe sepsis and any previous disease as the main independent predictors for SMO. All complications of pregnancy were strongly associated with increased risk of SMO (data not presented in tables), despite the fact that only severe sepsis, on the multiple regression analysis, predicted SMO (adjusted PR 2.75; 95% CI 1.35–5.61) (Table 4). Nevertheless, the incidence of such complications among eclamptic women was not similar, fluctuating from 1% (pulmonary edema) to 12% (HELLP). (Data not presented in tables.).

Table 4. Variables independently associated with severe maternal outcome by Poisson multiple regression analysis (n = 321).

Gestational age at delivery reached a median of 36 weeks, fluctuating from 22 to 42 weeks; birth weight implied a median of 2.410 grams, ranging from 520 to 4.900 grams (data not presented in tables) and C-section accounted for 88% of all deliveries. Perinatal outcomes were also substantially worse in the SMO group: stillbirth (PR 2.34, 95% CI 1.29–4.24), neonatal ICU admission (PR 1.84; 95% CI 1.09–3.10), neonatal death (PR 2.68; 95% CI 1.21–5.91), low 5-min Apgar score (PR 2.87; 95% CI 1.79–4.62) and perinatal death (PR 2.3; 95% CI 1.45–3.65) (Table 5).

Table 5. Estimated risk of SMO according to gestational age, mode of delivery and perinatal outcomes in women with eclampsia.


Our study presents an overview of the clinical morbidities and the access to health care for women with eclampsia in selected obstetric units in the five geographical Brazilian regions. These results confirm a prevalence of SMO for eclampsia five times higher than for other severe hypertensive disorders of pregnancy group (excluding cases of eclampsia). In fact, eclampsia is a major cause of morbidity and death in this group. Multiple regression analysis pointed out that the lack of emergency care facilities in obstetric units are predictors of worse outcomes among women with eclampsia. In addition, any previous disease and severe sepsis were also main predictors of SMO from eclampsia. The higher risk of dying found when ICU admission was present shows that probably there was a pre-selection of most severe cases towards admission to ICU, and the already well-known shortage of ICU beds in many Brazilian health care facilities has a major impact on this result [26].

Three quarters of the Brazilian population are insured by SUS, the Brazilian publicly funded health system, and the remaining one quarter relies on the insurance and/or private health sector. The only center included in the Brazilian Network that provides care exclusively to high-income private patients did not have any case of eclampsia over this one-year period.

Our study has several strengths, including a broad geographical distribution of the participating centers, assuring the representativeness of all regions (with 55.6% LB from the South and Southeast, and 48.4% from the North, Northeast, and Midwest); a rigorous three-step check for control of data quality, as described; and a large sample size due to the eligibility of many of the cases. We found a proportion of 9.5% of SMO for eclampsia among the 910 cases of SMO from the network, very close to that found by the WHO Multicountry Survey (9.6%) undertaken in 29 countries and 357 health facilities, recently published [27].

Figure 1 demonstrates that SMO was present in 20% of cases of eclampsia and was responsible for the majority of SMO in the severe hypertensive disorders group. One of our study’s strengths is the design of a severity scale over which eclampsia cases can be split into two groups. This provides a clear view of the main predictors of worse outcomes. In other words, even though eclampsia is a rare event, the percentage of life threatening complications or death due to it is still extremely high in our population.

Notwithstanding the well-established association between occurrence of eclampsia and maternal characteristics such as age, ethnicity, marital status, years of education and parity, our findings did not identify the same patterns when assessing the risk of SMO from eclampsia [4], [22], [23]. One possible hypothesis is that no matter how robust the association between the occurrence of eclampsia and low Human Development Index (HDI) and its indicators (e.g., low schooling and income) is, once a woman seizures, the outcomes mainly rely on proper and timely care, irrespective of the social and economic background characteristics [7].

All associated complications (hemorrhage, HELLP syndrome, severe hypertension, pulmonary edema and sepsis) were associated with SMO. The study was originally designed to perform a surveillance of severe complications in all pregnancies from the participating institutions during a fixed period of time. Therefore it was a decision to keep the data collection form as short as possible to facilitate its implementation. Thus specific questions to go deeper in each cause or associated factor were decided not to be included. In addition, taking into account the fact that information was cross-sectionally collected after the women was discharged, the information regarding the exact time on each event occurred or each procedure was performed is not available. That is the reason why our study could only assess use and non-use of MgSO4 and not its appropriateness. Being a key drug to prevent seizures in situations of severe preeclampsia, we can make the inference that its use on the study population was almost always delayed or inappropriate, as all the included cases had seizures [28], [29].

Fourteen women (3%) did not receive MgSO4 at all, which is noteworthy, considering it is a low-cost, effective, life-saving and well-known drug. Our study, however, did not find a significantly increased risk of SMO from eclampsia in cases to whom MgSO4 was not administered. The remaining 97% of cases in our study were prescribed MgSO4 at any given time, what is a remarkably high figure, especially when compared to the finding of 89% MgSO4 use reported in the recently published WHO Multicountry Survey that evaluated 29 different LMIC countries [27]. Only 8% of the cases were reported as having no access to the drug in any given time before or after delivery.

We found a 5-fold increase in the risk of SMO among our population with eclampsia, mostly as a consequence of delays in diagnosis, delay in transportation. inadequate management, lack of well-trained staff and lack of intensive care unit These variables quantify barriers and delays for proper obstetric care, and our findings reinforce studies that pointed those factors out as the main challenges for improving maternal and perinatal health care in LMIC [7], [8], [30], [31]. The 3-fold higher risk of SMO in women that had difficulties in accessing the obstetric ICU corroborates other findings that had already pointed to the need for staff training and better infrastructure for maternal facilities and obstetric ICUs for the delivery of prompt and adequate care to severe obstetric complications [26], [28]. These categorizations were of course attributed with the knowledge of the SMO status. If a risk of information bias is likely to exist, this would probably be in the way of diminishing, and not showing that these substandard care/delays in fact occurred, considering that both local investigators and coordinators were also part of the clinical staff of each participating center.

To the best of our knowledge there are no published findings concerning perinatal outcomes from two different groups of severity (SMO and non-SMO) of eclampsia, making comparisons difficult to be established. We found a 10% total prevalence of perinatal mortality among cases of eclampsia. According to a recent systematic review, a Nigerian study presenting perinatal outcomes in eclampsia treated with MgSO4 found 30% incidence of perinatal mortality, and a British one, 6%. Considering the 97% use of magnesium sulphate in our cases, we could argue that our perinatal mortality amongst cases of eclampsia is more similar to that of the UK than to that of Nigeria [32], [33].

Regarding the possible limitations of our study, the database cannot bet understood as representative of the whole Brazilian population. However it had a multicenter cross sectional design and an appropriate sample size. Secondly, some maternal characteristics are challenging to evaluate, for instance, numbers on skin color and years of education were missing in approximately a third of the database, marital status in a fifth - yet those variables did not appear as predictors of SMO. At the same time, the key variables that predicted maternal SMO had less than 10% of missing data. One of the particularities of studying NM cases is the possibility to interview women after life-threatening events, thus identifying breakdowns in health systems [16]. In our study no interviews were undertaken however, but we developed a structured form and trained investigators to gather information on access to care not only from medical records, but also from hospital staff, and we included an open variable that could be used to describe a randomly peculiar characteristic that could not have been contemplated by the form. Thus we were able to include insights on health systems problems. As examples we could quote: “after C-section in Cabedelo city a patient was transferred to state capital Joao Pessoa (25 km) for ICU admission at 7 pm, and died after several seizures at 9 pm”; or “MgSO4 administered after C-section, patient had other seizure after procedure.”

Brazil is a member of the BRICS nations group, which also includes Russia, India, China and South Africa. The current economic up growth, combined with a significant influence on regional and global matters, bond these emerging nations. It is well known that social and educational improvements do not always progress hand-in-hand with the economic boom, and this is still a challenge not only for Brazil but for the whole BRICS community.

In conclusion, improvements in social and educational structures alone will probably not lead to the needed changes on time for the Millennium Development Goal number 5 to be achieved by 2015. Our findings point out clearly that lower income regions in Brazil have a worse performance in all obstetric health care indicators among women with eclampsia. The strengthening of health systems might be a possible strategy to reduce morbidity and deaths in women of reproductive age and their offspring [28], [34]. It is known that social and economic determinants are associated with higher maternal and perinatal mortality [3], [32]. Waiting for changes in those patterns in order to get better obstetric and perinatal outcomes might not be the faster route to reduce SMO due to eclampsia. Instead, qualifying emergency obstetric health care by promoting continued staff training and increasing the number of well-equipped health care facilities (especially obstetric ICU beds) are a more plausible and expedient pathway not only for Brazil, but also for all other LMIC and emerging nations who endeavor to relieve the burden of eclampsia.


The authors acknowledge the involvement of the members of its Steering Committee and all the other investigators and coordinators from all the centres involved in the National Network for the Surveillance of Severe Maternal Morbidity. The authors acknowledge the contribution of the Brazilian Network for the Surveillance of Severe Maternal Morbidity Group: João P Souza, Rodolfo C Pacagnella, Rodrigo S. Camargo, Vilma Zotareli, Lúcio T. Gurgel, Lale Say, Robert C Pattinson, Marilza V Rudge, Iracema M Calderon, Maria V Bahamondes, Danielly S Santana, Simone P Gonçalves, Eliana M Amaral, Olímpio B Moraes Filho, Simone A Carvalho, Francisco E Feitosa, George N Chaves, Ione R Brum, Gloria C Saint’Ynes, Carlos A Menezes, Patricia N Santos, Everardo M Guanabara, Elson J Almeida Jr, Joaquim L Moreira, Maria R Sousa, Frederico A Peret, Liv B Paula, Luiza E Schmaltz, Cleire Pessoni, Leila Katz, Adriana Bione, Antonio C Barbosa Lima, Edilberto A Rocha Filho, Melania M Amorim, Debora Leite, Ivelyne Radaci, Marilia G Martins, Frederico Barroso, Fernando C Oliveira Jr, Denis J Nascimento, Cláudio S Paiva, Moises D Lima, Djacyr M Freire, Roger D Rohloff, Simone M Rodrigues, Sergio M Costa, Lucia C Pfitscher, Adriana G Luz, Daniela Guimaraes, Gustavo Lobato, Marcos Nakamura-Pereira, Eduardo Cordioli, Alessandra Peterossi, Cynthia D Perez, Jose C Peraçoli, Roberto A Costa, Nelson L Maia Filho, Jacinta P Matias, Silvana M Quintana, Elaine C Moises, Fátima A Lotufo, Luiz E Carvalho, Carla B Andreucci, Márcia M Aquino, Maria H Ohnuma, Rosiane Mattar and Felipe F Campanharo.

Author Contributions

Conceived and designed the experiments: JCG MAP JGC SMH. Performed the experiments: JGC MAP SMH MLC FGS JLPS. Analyzed the data: JGC MAP MHS. Contributed reagents/materials/analysis tools: MAP JCG SMH MHS. Wrote the paper: JCG MAP MLC.


  1. 1. Report of the National High Blood Pressure Education Program Working Group on High Blood Pressure in Pregnancy (2000) American Journal of Obstetris and Gynecology. 183(1): S1–S22.
  2. 2. Duley L (2009) The global impact of pre-eclampsia and eclampsia. Seminars in Perinatology 33(3): 130–7.
  3. 3. Khan KS, Wojdyla D, Say L, Gülmezoglu AM, Van Look PF (2006) WHO analysis of causes of maternal death: a systematic review. Lancet 367(9516): 1066–74.
  4. 4. Fong A, Chau CT, Pan D, Ogunyemi DA (2013) Clinical morbidities, trends, and demographics of eclampsia: a population-based study. American Journal of Obstetris and Gynecology 209(3): 229.e1–7.
  5. 5. Abalos E, Cuesta C, Grosso A, Chou D, Say L (2013) Global and regional estimates of preeclampsia and eclampsia: a systematic review. European Journal of Obstetetrics and Gynecology 170(1): 1–7.
  6. 6. Souza JP, Cecatti JG, Parpinelli MA, Sousa MH, Lago TG, et al. (2010) Maternal morbidity and near miss in the community: findings from the 2006 Brazilian demographic health survey. BJOG 117(13): 1586–92.
  7. 7. Firoz T, Sanghvi H, Merialdi M, von Dadelszen P (2011) Pre-eclampsia in low and middle income countries. Best Practice & Research Clinical Obstetrics & Gynaecology 25(4): 537–48.
  8. 8. Ronsmans C, Campbell O (2011) Quantifying the fall in mortality associated with interventions related to hypertensive diseases of pregnancy. BMC Public Health 11 Suppl 3S8.
  9. 9. Kullberg G, Lindeberg S, Hanson U (2002) Eclampsia in Sweden. Hypertension in Pregnancy 21(1): 13–21.
  10. 10. Khosla AH, Dahiya K, Sangwan K (2000) Maternal mortality and ‘near-miss’ in rural north India. International Journal of Gynaecology and Obstetrics 68(2): 163–4.
  11. 11. United Nations (2013) Millennium Development Goals, Available: Jun 2013.
  12. 12. Brazil (2010) Presidência da República [Internet]. [Millenium Development Goals: national report of follow up]. Brasília (DF): IPEA. Accessed June 14th, 2013. Available: < acompanhamento.pdf/download≥.
  13. 13. Mantel GD, Buchmann E, Rees H, Pattinson RC (1998) Severe acute maternal morbidity: a pilot study of a definition for a near-miss. British Journal of Obstetrics and Gynaecology 105(9): 985–90.
  14. 14. Waterstone M, Bewley S, Wolfe C (2001) Incidence and predictors of severe obstetric morbidity: case-control study. BMJ 322(7294): 1089–93.
  15. 15. Pattinson R, Say L, Souza JP, Broek N, Rooney C (2009) WHO maternal death and near-miss classifications. Bulletim of the World Health Organization 87(10): 734.
  16. 16. Say L, Souza JP, Pattinson RC (2009) WHO working group on Maternal Mortality and Morbidity classifications (2009) Maternal near miss-towards a standard tool for monitoring quality of maternal health care. Best Practice & Research Clinical Obstetrics & Gynaecology 23(3): 287–96.
  17. 17. Sousa MH, Cecatti JG, Hardy EE, Serruya SJ (2008) Severe maternal morbidity (near miss) as a sentinel event of maternal death. An attempt to use routine data for surveillance. Reproductive Health 5: 6.
  18. 18. DATASUS. [Information on health. Vital statistics]. Available: Accessed Aug 15 2013.
  19. 19. Cecatti JG, Souza JP, Parpinelli MA, Haddad SM, Camargo RS, et al. (2009) Brazilian Network for the surveillance of maternal potentially life-threatening morbidity and maternal near-miss and a multidimensional evaluation of their long term consequences. Reproductive Health 6: 15.
  20. 20. Haddad SM, Cecatti JG, Parpinelli MA, Souza JP, Costa ML, et al. (2011) From planning to practice: building the national network for the Surveillance of Severe Maternal Morbidity. BMC Public Health 11: 283.
  21. 21. PNUD Brazil (2010) Program of the United Nations for Development. Available: Accessed Sep 10 2013.
  22. 22. Morikawa M, Cho K, Yamada T, Yamada T, Sato S, et al. (2012) Risk factors for eclampsia in Japan between 2005 and 2009. International Journal of Gynaecology and Obstetrics 117(1): 66–8.
  23. 23. Knight M (2007) Eclampsia in the United Kingdom 2005. British Journal of Obstetrics and Gynaecology 114(9): 1072–8.
  24. 24. Haddad SM, Sousa MH, Cecatti JG, Parpinelli MA, Costa ML, et al. (2012) Intraclass correlation coefficients in the Brazilian Network for Surveillance of Severe Maternal Morbidity study. BMC Pregnancy and Childbirth 12: 101.
  25. 25. Donne A, Klar N (1994) Methods for comparing event rates in intervention studies when the unit of allocation is a cluster. American Journal of Epidemiology 140(3): 279–89.
  26. 26. Oliveira Neto AF, Parpinelli MA, Cecatti JG, Souza JP, Sousa MH (2009) Factors associated with maternal death in women admitted to an intensive care unit with severe maternal morbidity. International Journal of Gynaecology and Obstetrics 105(3): 252–6.
  27. 27. Souza JP, Gülmezoglu AM, Vogel J, Carroli G, Lumbiganon P, et al. (2013) Moving beyond essential interventions for reduction of maternal mortality (the WHO Multicountry Survey on Maternal and Newborn Health): a cross-sectional study. Lancet 381 (9879): 1747–55.
  28. 28. Schutte JM, Schuitemaker N, Van Roosmalen J (2008) Steegers E on behalf of the Dutch Maternal Mortality Committee (2008) Substandard care in maternal mortality due to hypertensive disease in pregnancy in the Netherlands. British Journal of Obstetrics and Gynaecology 115: 732–736.
  29. 29. Duley L, Henderson-Smart DJ, Walker GJ, Chou D (2010) Magnesium sulphate versus diazepam for eclampsia. Cochrane Database Systematic Reviews (12): CD000127.
  30. 30. Knight HE, Self A, Kennedy SH (2013) Why are women dying when they reach hospital on time? A systematic review of the “Third Delay”. PloSOne 8(5): e63846.
  31. 31. WHO. Evaluating the quality of care for severe pregnancy complications. The WHO near-miss approach for maternal health. 2011. Available: Accessed 24 Aug 2013.
  32. 32. Ghulmiyyah L, Sibai B (2012) Maternal Mortality from Preclampsia/Eclampsia. Seminars in Perinatology 36: 56–59.
  33. 33. McDonald SD, Lutsiv O, Dzaja N, Duley L (2012) A systematic review of maternal and infant outcomes following magnesium sulphate for pre-eclampsia/eclampsia in real-world use. International Journal of Gynaecology and Obstetrics 118(2): 90–6.
  34. 34. WHO (2011) Evaluating the quality of care for severe pregnancy complications: The WHO near-miss approach for maternal health. Geneva: WHO.