Perinatal outcomes of twin pregnancies complicated with preeclampsia at a tertiary hospital in Ethiopia: A case‐control study
Abraham Fessehaye Sium, Don Eliseo III Lucero‐Prisno, Wondimu Gudu

TL;DR
This study found that twin pregnancies with preeclampsia are more likely to result in preterm birth compared to those without the condition.
Contribution
The study provides new data on perinatal outcomes in twin pregnancies with preeclampsia from a tertiary hospital in Ethiopia.
Findings
Preeclampsia in twin pregnancies was associated with a 61.9% preterm birth rate compared to 33.6% in normotensive controls.
Preeclampsia increased the likelihood of preterm delivery by 2.58 times in twin pregnancies.
No significant difference in adverse neonatal outcomes was found between the groups.
Abstract
Preeclampsia accounts for 10–15% maternal deaths globally, corresponding to 50,000 annual maternal deaths. Twin pregnancy is a known risk factor for preeclampsia; however, there is inadequate data on the clinical characteristics and perinatal outcomes of twin pregnancies complicated with preeclampsia. This paper studied the perinatal outcomes of twin pregnancies complicated with preeclampsia at a tertiary hospital in Ethiopia. A case‐control study was conducted at St. Paul's Hospital Millennium Medical College (Addis Ababa, Ethiopia) from September 1, 2016 till August 31, 2018. A total of 173 twin deliveries (63 preeclampsia cases and 110 normotensive controls) were included in the study and the primary outcome was the frequency of preterm delivery. Data were analyzed using SPSS version 23 and statistical test of association was done using chi‐square test for categorical data.…
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| Twin pregnancy with normotensive ( | Twin pregnancy with preeclampsia ( | ||||
|---|---|---|---|---|---|
| Parameters |
| (%) or (SD) |
| (%) or (SD) |
|
| Maternal age (years), mean ± SD | 26.9 | (±4.2) | 28.27 | (±4.6) | 0.049 |
| Estimated fetal weight (in grams), mean ± SD | 2282 | (±434.5) | 2120.35 | (±436.3) | 0.003 |
| Mode of delivery | 0.072 | ||||
| Spontaneous vaginal delivery | 41 | (37.6) | 13 | (21.0) | |
| Cesarean section | 65 | (59.6) | 47 | (75.8) | |
| Instrumental delivery | 3 | (2.8) | 2 | (3.2) | |
| Gravidity | |||||
| Primigravida | 41 | (38.0) | 18 | (28.6) | 0.245 |
| Multigravida | 67 | (62.0) | 45 | (71.4) | |
| ANC Status | |||||
| Booked at SPHMMC | 72 | (65.5) | 41 | (65.08) | 0.960 |
| Booked at Catchment HC | 38 | 34.6 | 22 | (34.9) | |
| Chorionicity | |||||
| Monochorionicity | 99 | (90.0) | 58 | (92.1) | 0.788 |
| Dichorionicity | 11 | (10.0) | 5 | (5.9) | |
| Discordance of EFW≥20% | 12 | (13.3) | 6 | (11.3) | 0.726 |
| IUGR (EFW less than 5th percentile) | 7 | (6.5) | 7 | (10.8) | 0.748 |
| Gestational age at delivery | |||||
| Preterm delivery (<37 wks) | 37 | (33.6) | 39 | (61.9) | <0.001 |
| Early preterm delivery (<34 weeks) | 10 | (9.1) | 8 | (12.7) | 0.568 |
| Term delivery (≥37 weeks) | 73 | (66.4) | 24 | (38.1) | 0.001 |
| Variables | Normotensive twin pregnancy ( | Twin pregnancy with preeclampsia ( |
|
|---|---|---|---|
| GA calculation | |||
| Both reliable LNMP and early US | 17 (15.6) | 3 (4.8) | 0.012 |
| Early US | 61 (56.0) | 29 (46.8) | |
| Only reliable LNMP | 31 (28.4) | 30 (48.4) | |
|
CS done in labor, | 41 (62.1) | 11 (22.9) | <0.001 |
| CS or instrumental delivery for fetal distress | 4 (6.4) | 0 (0.0) | 0.128 |
| Dexamethasone treatment, | 1(0.1) | 9 (14.3) | 0.001 |
| Normotensive group | Preeclampsia group | ||||||
|---|---|---|---|---|---|---|---|
| Perinatal outcome |
| (%) |
| % | OR (95% CI) | Adjusted OR (95% CI) |
|
| Preterm delivery | 37 | (33.6) | 39 | (61.9) | 3.21 (1.68–6.11) | 2.58 (1.24–5.35) | 0.011 |
| RDS, | 19 | (16.5) | 22 | (30.1) | 2.05 (0.85–4.98) | 1.47 (0.45–4.70) | 0.519 |
| IUGR, | 7 | (6.5) | 7 | (10.8) | 1.44 (0.42–4.92) | 1.85 (0.38–9.01) | 0.444 |
| Low ApgarScore, | 16 | (14.4) | 13 | (20.0) | 1.31 (0.54–3.14) | 0.96 (0.33–2.76) | 0.933 |
| LBW, | 123 | (80.4) | 78 | (85.7) | 1.44 (0.69–3.03) | 0.99 (0.43–2.30) | 0.989 |
| VLBW, | 14 | (12.2) | 7 | (11.1) | 1.40 (0.50–3.97) | 0.33 (0.06–1.79) | 0.201 |
| END, | 1 | (0.9) | 5 | (7.8) | 7.25 (0.79–66.41) | 2.98 (0.16–55.59) | 0.465 |
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Taxonomy
TopicsPregnancy and preeclampsia studies · Assisted Reproductive Technology and Twin Pregnancy · Birth, Development, and Health
INTRODUCTION
Hypertension in pregnancy complicates 10% of pregnancies [1, 2]. Preeclampsia/Eclampsia is one of the leading causes of maternal morbidity and mortality globally [3]. It remains one of the most common causes of perinatal mortality and morbidity in developing countries, mainly due to high rate of preterm birth associated with it [4], contributing to 500,000 perinatal deaths annually [5].
Preeclampsia (PE) occurs in 6–31% of twin pregnancies [6]. Twin pregnancy is a known risk factor for preeclampsia. However, the reason why it is seen more in twin pregnancies is still yet not known [3, 7]. A 2014 review on the risk factors for preeclampsia in twin pregnancy reported that chorionicity is not associated with the occurrence of preeclampsia [8]. Twin pregnancies also have increased rates of post‐partum hemorrhage and preterm birth [9]. A study among 997 twin gestations showed that preeclampsia in twin pregnancy was associated with increased rate of cesarean delivery, low Apgar score, and lower mean gestational age at delivery [10]. Another study done on the perinatal outcome of twin gestations with preeclampsia concluded that twin pregnancies with PE were associated with worse perinatal outcomes and increased frequency of preterm delivery [11].
Although the incidence of preeclampsia in twin pregnancy has been well studied, there is inadequate data regarding it's perinatal outcomes. This study aimed to determine perinatal outcomes of twin pregnancies complicated with preeclampsia at tertiary hospital in Ethiopia.
METHODS
Study design
This is a case‐control study conducted at Saint Paul's Hospital Millennium Medical College (SPHMMC), in Addis Ababa, Ethiopia, from 2016 to 2018. SPHMMC is tertiary teaching hospital and a leading medical college in Ethiopia with various specialty and sub‐specialty level care and training programs. An average of 11,500 deliveries are attended to per annum at the hospital. It's maternal‐fetal medicine sub‐specialty unit provides an inclusive prenatal and maternity care to women with high‐risk pregnancies, such as twin pregnancy complicated with preeclampsia.
Study population
A total of 423 twin pregnancy records were retrieved from the Hospital Management Information system between September 1, 2016 and August 31, 2018. Out of which, 173 twin pregnancies (63 preeclampsia cases and 110 normotensive cases‐controls) were included in the final analysis based on the inclusion and exclusion criteria.
Delivery registry was used to identify twin pregnancies complicated with preeclampsia and twin without any form of hypertension (normotensive) who had their deliveries attended at SPHMMC. The inclusion criteria were: twin pregnancy with confirmed chorionicity; gestational age (GA) >28 weeks of gestation; alive co‐twin with no congenital anomaly; and antenatal care follow‐up at SPHMMC or its catchment health centers.
The exclusion criteria were: gestational hypertension, chronic hypertension, chronic hypertension with superimposed preeclampsia, eclampsia, unknown date (unreliable date from last normal menstrual period and no early ultrasound), concurrent medical or obstetric illness, and higher order pregnancies.
Controls were matched cases with no hypertension. Normotension was defined as twin pregnancies with no hypertensive disorders of pregnancy and blood pressure in the range of <130/90 mmHg and ≥90/60 mmHg measured in the right arm. Gestational age was determined from early ultrasound and from reliable last normal menstrual period date in those cases that lacked early ultrasound.
Data collection and variables
Data were collected by reviewing maternal charts and neonatal intensive care unit (NICU) registry. Sociodemographic data, antenatal care and obstetric care characteristics, and perinatal outcomes were extracted using a structured questionnaire prepared in English language. Data were collected by second year obstetrics and gynecology residents. Completeness and consistency of the data was checked by the principal investigator. The primary outcome of the study was rate of preterm delivery (delivery at gestational age of less than 37 weeks). Secondary outcomes were the rate of intrauterine growth restriction, low Apgar score (1 and 5 min Apgar score of <7), early neonatal death, respiratory distress syndrome, low birth weight, and very low birth weight.
Data analysis
Data were entered into Epi Info 7, and exported to SPSS version 23 for analysis. Statistical test of association was done using chi‐square for categorical data; strength of association is reported using odds ratio and 95% confidence interval. Those variables with p < 0.2 on bivariate analyses were tested using multivariable logistic regression analysis p < 0.05 were considered significant.
Ethics considerations
Ethical clearance was obtained from the Institutional Review Board, SPHMMC. Because it is a retrospective study, informed consent from study participants was not required for this study, hence it was not obtained.
RESULTS
The frequency of preterm birth in the PE group was statistically different from that observed in the normotensive group (61.9 vs. 33.6%, p < 0.001) (Table 1) but the was no difference in rate of early preterm delivery (delivery at <34 weeks) between the groups (12.7 vs. 9.1%, p = 0.568).
Among the important findings of this study was the lack of uniformity in the gestational age calculation methods (Table 2). More number of cases in the normotensive group had both early ultrasound findings and reliable last normal menstrual dates available to calculate the gestational age.
Multivariable logistic regression data analysis (Table 3) shows that the adjusted Odds Ratio (adjusted OR) for preterm birth was significantly increased [adjusted OR = 2.58, 95% CI (1.24–5.35), p = 0.01]. There were five early neonatal deaths in the PE group while there was only one such early neonatal death in the normotensive group, which was not statistically significant [adjusted OR = 2.98, 95% CI (0.16–55.59), p = 0.465]. Similarly, there was no significant difference in occurrence of respiratory distress syndrome between the groups [adjusted OR = 1.47, 95% CI (0.45–4.70), p‐value 0.519], nor intra‐uterine growth restriction [adjusted OR = 1.85, 95% CI (0.38–9.01), p = 0.44], nor low Apgar score [adjusted OR = 0.96, 95% CI (0.33–2.76), p value = 0.933] nor in the rate of low birth weight and very low birth weight babies [adjusted OR = 0.99 (0.43–2.30) p = 0.989, and adjusted OR = 0.33 (0.06–1.79), p = 0.201, respectively].
DISCUSSION
In this study, twin pregnancies complicated with preeclampsia had an increased rate of preterm birth, compared to those without hypertension. However there was no difference in the rate of early preterm birth (birth at less than 34 weeks) between the groups. Similarly, there was no difference in the rate of adverse neonatal outcome (respiratory distress syndrome, early neonatal death, and Low Apgar score) between the groups.
Multiple studies show that twin gestations complicated by preeclampsia have a higher rate of preterm delivery when compared to singletons. However, it is not known whether this is the result of increased incidence of preterm labor in twins or as a result of the difference in the clinical behavior of preeclampsia in these two different obstetric populations [11, 12, 13]. There are too few studies that report on the course of preeclampsia in twin pregnancies in terms of preterm birth. The higher frequency of preterm birth observed in the preeclampsia group in our study remained unchanged after controlling known contributors to preterm delivery. This finding is consistent with a report of a recent study conducted in China, in which perinatal outcomes of 143 preeclamptic women were compared with 367 normotensive women with twin pregnancies. The study found that twin pregnancies complicated with preeclampsia were 2.75 more likely to have preterm birth compared to controls [14]. Likewise, a cohort study from Israel which compared perinatal outcomes of 19 cases of severe preeclampsia to 44 matched controls reported that preeclampsia in twin gestation was associated with increased rate of preterm birth. The mean gestational age at delivery was 34.8 ± 3.5 weeks in the severe preeclampsia cases compared to 36.2 ± 2.8 weeks in the controls [15].
The finding of high preterm birth rate among women with twin pregnancy complicated with preeclampsia in our study implies institution of pre‐delivery obstetric interventions aiming at alleviating complications of preterm birth that should synchronize with readiness for the management of preterm neonates. However, this warrants further exploration as important limitations overshadow these interpretations. The main limitations of this study are retrospective data collection, small sample size allocation, the finding of no difference in the rate of preterm delivery at gestational age less than 34 weeks, and non‐uniformity of gestational age calculation methods. The lack of random sampling technique is the other limitation. We recommend a further analytic study, preferably prospective comparative study, with appropriate sample size allocation, ideal and uniform gestational age calculation method, correct sub‐group analysis such as spontaneous versus indicated preterm delivery and analysis of adverse maternal outcomes.
CONCLUSION
In this study, twin pregnancies complicated with preeclampsia were found to be associated with high preterm birth rate. Although this may imply readiness for pre‐delivery and post‐delivery interventions to alleviate complications of preterm delivery in such pregnancies, it warrants further exploration and we recommend further analytic study.
AUTHOR CONTRIBUTIONS
Wondimu Gudu and Abraham Fessehaye Sium developed the concept and design of study and subsequent data collection and analysis. Abraham Fessehaye Sium, Wondimu Gudu, and Don Eliseo III Lucero‐Prisno drafted the manuscript and edited the final manuscript. All authors critically revised the article for intellectual content and gave final approval.
CONFLICTS OF INTEREST
The authors declare that they have no financial or non‐financial competing interests. Abraham Fessehaye Sium is an Editorial Board member of Public Health Challenges and co‐author of this article. Don Eliseo III Lucero‐Prisno is the Editor‐in‐Chief of Public Health Challenges and co‐author of this article. They were excluded from editorial decision‐making related to the acceptance of this article for publication in the journal.
FUNDING INFORMATION
No funding was received for this study.
ETHICS APPROVAL
Ethical clearance & permission letter was obtained from the Institutional Review Board (IRB) of St. Paul's hospital millennium Medical College (SPHMMC). A written informed consent was not required for this study; therefore, not obtained.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Jeyabalan A . Epidemiology of preeclampsia: impact of obesity. Nutr Rev. 2013;71(0 1):S 18‐25. 10.1111/nure.12055. PMID: 24147919; PMCID: PMC 3871181.24147919 PMC 3871181 · doi ↗ · pubmed ↗
- 2Koopmans CM , Bijlenga D , Groen H , et al. Induction of labour versus expectant monitoring for gestational hypertension or mild pre‐eclampsia after 36 weeks’ gestation (HYPITAT): a multicentre, open‐label randomised controlled trial. Lancet. 2009;374(9694):979‐988.19656558 10.1016/S 0140-6736(09)60736-4 · doi ↗ · pubmed ↗
- 3Francisco C , Wright D , Benkő Z , Syngelaki A , Nicolaides KH . Hidden high rate of pre‐eclampsia in twin compared with singleton pregnancy. Ultrasound Obstet Gynecol. 2017;50(1):88‐92.28317207 10.1002/uog.17470 · doi ↗ · pubmed ↗
- 4Seyom E , Abera M , Tesfaye M , Fentahun N . Maternal and fetal outcome of pregnancy related hypertension in Mettu Karl Referral Hospital, Ethiopia. J Ovarian Res. 2015;8(1):4‐10.25824330 10.1186/s 13048-015-0135-5PMC 4374296 · doi ↗ · pubmed ↗
- 5Nathan HL , Paul T , De Greeff A , et al. Maternal and perinatal adverse outcomes in women with pre‐eclampsia cared for at facility‐level in South Africa: a prospective cohort study. J Glob Health. 2018;8(2).10.7189/jogh.08-020401 PMC 607658330140431 · doi ↗ · pubmed ↗
- 6Savvidou MD , Karanastasi E , Skentou C , Geerts L , Nicolaides KH . Twin chorionicity and pre‐eclampsia. Ultrasound Obstet Gynecol. 2001;18(3):228‐231.11555451 10.1046/j.0960-7692.2001.00470.x · doi ↗ · pubmed ↗
- 7Grum T , Seifu A , Abay M , Angesom T , Tsegay L . Determinants of pre‐eclampsia/Eclampsia among women attending delivery services in selected Public Hospitals of Addis Ababa, Ethiopia: a case control study. BMC Pregnancy Childbirth. 2017;17(1):1‐7.28915802 10.1186/s 12884-017-1507-1PMC 5603094 · doi ↗ · pubmed ↗
- 8Ohkuchi A . Risk factors associated with the occurrence of preeclampsia in women with twin pregnancies: mini review. Med J Obstet Gynecol. 2014;2(2):1027.
