Skip to main content
Springer Nature - PMC COVID-19 Collection logoLink to Springer Nature - PMC COVID-19 Collection
. 2020 Jan 29;132(7-8):188–196. doi: 10.1007/s00508-019-01606-8

Dengue and malaria infections in pregnancy

Maternal, fetal and neonatal outcomes at a tertiary care hospital

Mujtaba Mubashir 1, Kaleem S Ahmed 1, Hadika Mubashir 1, Ayesha Quddusi 1, Ayesha Farooq 1,, Sheikh Irfan Ahmed 2, Bushra Jamil 3, Rahat Qureshi 2
PMCID: PMC7095108  PMID: 31997066

Abstract

Background

Malaria and dengue cause major morbidity in developing nations and are more severe in pregnancy. Maternal, fetal, and neonatal outcomes in pregnant patients infected with dengue or malaria were studied.

Methods

The medical records of pregnant women admitted with either dengue or malaria infections from 2011–2015 to this hospital were reviewed. Clinical outcomes and laboratory tests were examined.

Results

Of 85 women, 56%, 21%, and 22% had contracted dengue, malaria, and multiple infections, respectively. Pregnant women who had contracted dengue fever alone were more likely to present to the hospital at an earlier gestational age (24 weeks, p = 0.03). Women with multiple infections, were more likely to deliver earlier (30 weeks, p < 0.01). Women with malaria were more likely to have low birth weight deliveries (mean birth weight 2394 g, p = 0.03). The incidence of in-hospital deaths among the cohort was 7%.

Conclusion

It is imperative to develop guidelines to screen for and diagnose dengue and malaria in pregnancy.

Electronic supplementary material

The online version of this article (10.1007/s00508-019-01606-8) contains supplementary material, which is available to authorized users.

Keywords: Dengue fever, Plasmodium, Fetomaternal outcomes, Perinatal infection, Maternal morbidity, Neonatal outcomes

Introduction

Infectious diseases have emerged as a major cause of mortality during pregnancy contributing to an estimated 15% of maternal deaths [1]. Pregnant women are thought to be at an increased risk of acquiring infections due to the underlying immune system modulations that are necessary to prevent fetal rejection in the gravid state [2]. There are two vector-borne infectious diseases, malaria and dengue fever, which disproportionately affect impoverished individuals and impose a major economic burden on developing nations [3]. Unfortunately, these infections are associated with an increased severity during pregnancy and worse maternofetal outcomes, an alarming issue that has only recently come to light and is currently being systematically studied [4, 5].

Malaria is a parasitic infection caused by the eukaryotic pathogen Plasmodium and is highly prevalent in the tropical countries of the global south, such as Pakistan [6]. The Plasmodium parasite is transmitted to humans from the bite of the female Anopheles mosquito with P. falciparum and P. vivax being the most frequently encountered species [6]. Interestingly, more than 60% of the Pakistani population is at risk of malarial infection with an estimated 100,000 new cases and approximately 1000 malaria-related deaths occurring annually [7]. In addition, malaria is currently recognized as an important risk factor not only for adverse obstetric outcomes including miscarriage, maternal anemia, cerebral malaria [4] but also poor fetal outcomes such as preterm delivery and intrauterine growth restriction [810]. In contrast, dengue fever is a viral infection caused by the “dengue virus” of the flavivirus family and can cause serious illness even leading to death in some cases. For example, Ong et al. reported a case fatality rate of 5.4% among non-pregnant adults with dengue hemorrhagic fever [11]. Interestingly, while the worse outcomes of malaria in pregnancy are well documented, data on the impact of dengue fever on pregnancy outcomes are sparse and conflicting. Several studies have described an increased risk of vertical transmission leading to preterm birth [12, 13], still birth [14] and low birth weight [12]; however, results have been inconclusive [15]. In addition, there is evidence that dengue fever outcomes correlate with disease severity as categorized by the World Health Organization (WHO) [16].

Malaria and dengue fever have a high incidence in Pakistan and cause hundreds of deaths among the Pakistani population [17]. To our knowledge, while the outcomes of malaria and dengue infections have been studied among non-pregnant Pakistani adults, the effect of these infections among pregnant women are yet to be evaluated [18]. Therefore, this study sought to examine the maternal, fetal, and neonatal outcomes in a cohort of pregnant patients infected with either dengue or malaria who were admitted to a tertiary care hospital in Pakistan.

Methods

Study design and patient population

A retrospective review of patient medical records was carried out for pregnant and post-partum women who were admitted with either dengue or malaria infections from January 2011 to December 2015 at the Aga Khan University Hospital, a tertiary care center in Karachi, Pakistan.

Data sources

As described elsewhere, patients were selected by querying the medical records database that is coded using the International Classification of Diseases, 9th Revision Clinical Modification (ICD-9-CM), using the keywords “Dengue” or “Malaria” with the timeframe set to during pregnancy and 6 weeks postpartum. The records of all patients meeting these inclusion criteria were collected and entered into a computerized database. Also noted was any patient having a diagnosis of a concurrent infection in addition to a diagnosis of dengue or malaria (labeled as multiple infection group) (Table S1 in the Electronic Supplementary Material). Dengue infection was diagnosed in patients who had simultaneous dengue and malaria infections were also included in the multiple infections group. Data collected included the women’s demographics, general health status, past medical and obstetric history, laboratory parameters, clinical course during the illness, and management criteria. Data on fetal and neonatal parameters, specifically birth weight, Apgar scores, and primary admitting service were also collected.

Case definitions

Patients were considered to have dengue infection if viral ribonucleic acid (RNA), dengue nonstructural protein 1 (NS1) antigen, or immunoglobulin M (IgM) antibodies were detected in blood samples [19]. Malaria was considered if malarial parasite was visualized on blood smear or if the patients had a positive immunochromatographic assay in the presence of other clinical findings [20, 21].

Ethics

All information gathered remained confidential and no items of information that would enable the identification of any subject were recorded. The study was evaluated and approved for exemption by the Ethical Review Committee of the Aga Khan University Hospital, Karachi, Pakistan (4417-Obs-ERC-16).

Statistical analysis

Clinical characteristics, including baseline data, and laboratory findings were reported separately for pregnant patients infected with dengue only, malaria only, as well as multiple infections. Categorical variables were reported as frequency and percentage and continuous variables as either mean and standard deviation or median and interquartile range. The data among these three groups were analyzed and compared using χ2-testsand Fisher’s exact tests for categorical variables and independent samples t-test and analysis of variance (ANOVA) for continuous variables. The maternal and fetal outcomes of patients in these groups were then reported. The characteristics of patients delivering at the Aga Khan University as well as those who experienced an in-hospital death were tabulated separately. Throughout analysis, a p-value of <0.05 was considered to be statistically significant.

Results

Patient characteristics

Overall the final cohort included 85 pregnant women admitted with dengue and/or malaria infections at the Aga Khan University Hospital over the study period. The median age of the cohort was 28 years (interquartile range, IQR: 25–32 years) and the median length of stay was 3 days (IQR: 2–5 days). Only 5% (n = 4) of the women were actively employed and only 44% (n = 37) had the current pregnancy registered with an obstetrician. More women had contracted dengue fever compared to malaria (n = 48, 56% vs. n = 18, 21%). Of the 19 women (22%) included in the multiple infections group, 4 women had concurrent dengue and malaria infection. Patients infected with dengue fever were more likely to have a lower parity (median parity: 1 vs. 3, p = 0.01) and present at an earlier gestational age than those with malaria (24 weeks vs. 35 weeks, p < 0.01). Fever was the most common presenting complaint, reported by 88% (n = 76) of women. In the present cohort, more than one quarter (n = 24; 27%) of the patients were admitted to the intensive care unit (ICU). Moreover, while nearly two thirds of the patients received blood transfusion (n = 33, 39%) the minority of the patients (n = 12, 14%) also underwent intubation and/or treatment with vasoactive medications (n = 10, 12%). Alarmingly, the mortality rate for this cohort was 7% (n = 6) thereby highlighting the severity of dengue fever and malaria infections among the pregnant population (Table 1).

Table 1.

Clinical characteristics of the patients admitted with dengue and/or malaria infections

Entire sample
(n = 85)
Dengue (D)
(n = 48)
Malaria (M)
(n = 18)
p-value
(D vs M)
Multiple infections (Mul)
(n = 19)
p-value
(D vs. M vs. Mul)
Age in years, median (IQR) 28 (25–32) 27.5 (25–33) 28.5 (25–30) 0.43 29 (26–32) 0.97
Length of stay, days,median (IQR) 3 (2–5) 3 (2–4) 3 (2–5) 0.87 5 (4–8) 0.10
Employed, n (%) 4 (5%) 3 (6%) 0 (0%) 0.56 1 (5%) 0.81
BMI, median (IQR) 26.5 (22.4–29.8) 26.3 (22.3–29.7) 28.2 (22.2–31.2) 0.98 28.7 (24.2–29.6) 0.56
Missing 19 (22%) 10 (12%) 5 (6%) 4 (21%)
Respiratory rate, median (IQR) 20 (20–22) 20 (20–20) 20 (18–24) 0.18 21.0 (20.0–22.0) 0.44
Systolic BP, median (IQR) 110 (102–120) 110 (102–120) 110 (104–122) 0.67 110 (103–120) 0.69
Glasgow coma scale (GCS) at admission, median 15 15 15 15
Past obstetric history, median (IQR)
Gravidity 2 (1–4) 2 (1–3) 4 (1.5–5) 0.06 1.5 (1–2) 0.03
Parity 1 (0–2) 1 (0–2) 3 (1–4) 0.01 1 (0.5–2) 0.06
Pregnancy registered, n (%) 37 (44%) 24 (50%) 9 (50%) 1 4 (21%) 0.08
Gestational age at registration, median (IQR) 12 (8–18) 10 (8–16.5) 16 (10–31) 0.17 16.5 (16.0–20.8) 0.59
Missing (unregistered) 48 (56.5%) 24 (50%) 9 (50%) 15 (79%)
Status at admission, n (%)
Pregnant 69 (81%) 45 (94%) 13 (72%) 0.03 11 (58%) <0.01
Post-partum 16 (19%) 3 (6%) 5 (28%) 8 (42%)
Gestational age at admission, median (IQR) 19 (28–35) 24 (19–35) 35 (33–38) <0.01 31 (16–34) 0.03
Missing (post-partum) 16 (19%) 3 (6%) 5 (28%) 8 (42%)
Level of care at admission to, n (%)
Ward 50 (53.5%) 35 (73%) 10 (56%) 0.25 5 (26%) <0.01
Special care unit 11 (13%) 10 (21%) 5 (28%) 9 (47%)
Intensive care unit 24 (27%) 3 (6%) 3 (17%) 5 (26%)
Presenting complaint, n (%)
Fever 76 (88%) 42 (87.5%) 16 (89%) 1 18 (95%) 0.68
Cough and dyspnea 11 (13%) 4 (8%) 3 (17%) 0.38 4 (21%) 0.30
Abdominal pain 19 (22%) 7 (14.5%) 5 (27.78%) 0.28 7 (36.84%) 0.12
Bleeding from any site 10 (12%) 9 (19%) 0 (0%) 0.10 1 (5%) 0.08
Vomiting 16 (19%) 6 (12.5%) 3 (17%) 0.70 7 (37%) 0.08
Duration of presenting complaint in days, median (IQR) 4 (2–6) 4 (2.25–6) 4 (3–7) 0.51 5 (2–7) 0.49
Management criteria, n (%)
Vasoactive drugs 10 (12%) 3 (6%) 3 (17%) 0.33 4 (21%) 0.16
Surgery during admission 21 (25%) 9 (19%) 8 (44%) 0.07 4 (21%) 0.11
Blood transfusion 33 (39%) 14 (29%) 8 (44%) 0.38 11 (58%) 0.08
Intubation 12 (14%) 4 (8%) 4 (22%) 0.20 4 (21%) 0.20
Dialysis 3 (3.5%) 1 (2%) 0 (0%) 1 2 (11%) 0.24
CPR 1 (1%) 0 (0%) 1 (5.5%) 0.27 0 (0%) 0.21
Diuretic use in 1st 24 h of admission 15 (18%) 5 (10%) 5 (28%) 0.12 5 (26%) 0.11

Laboratory test results

Not surprisingly, the overall hematocrit (%) (median: 32.7, IQR: 29.1–35.3) and platelet levels (×109/l) (median: 101, IQR: 53–157) were deranged outside the lower limit of normal; however, there were no differences in the average hematocrit or platelet counts among the three groups (all p > 0.05). Of note, the multiple infections group was more likely to deliver preterm (mean ± standard deviation (SD) = 29.8 ± 11.6 weeks) compared with women with malaria (mean ± SD = 34.9 ± 5.2 weeks) or dengue fever alone (mean ± SD = 37.6 ± 4.9 weeks) (p < 0.01). Moreover this group also had higher alanine aminotransferase (ALT) levels (median: 70 U/L, IQR: 33–182 U/L; p < 0.01) and a higher white blood cell (WBC) count (×109/l) (median: 11.5, IQR: 6.3–17.1; p < 0.01) than patients infected with dengue or malaria alone. Among patients with malaria, P. vivax was the most frequently encountered species (n = 12), whereas only one case of P. falciparum was found. In the remaining patients, malaria was found to be caused by multiple species (P. vivax, P. malariae, and P. ovale) (Tables 2 and 3).

Table 2.

Laboratory findings of the patients admitted with dengue and/or malarial infections

Entire sample
(n = 85)
Dengue (D)
(n = 48)
Malaria (M)
(n = 18)
p-value
(D vs. M)
Multiple infections
(Mul) (n = 19)
p-value
(D vs. M vs. Mul)
Labs on admission, median (IQR)
Hemoglobin (g/dl) 10.6 (9.6–11.8) 10.7 (10.2–11.9) 9.9 (9.3–10.9) 0.11 10.80 (9.8–11.7) 0.38
Hematocrit (%) 32.7 (29.1–35.3) 33.2 (30.8–35.8) 32.3 (27.0–32.7) 0.05 33.4 (29.7–35.3) 0.28
WBC (×109/l) 6.3 (4.6–9.6) 5.90 (4.40–7.95) 6.00 (4.20–8.05) 0.75 11.5 (6.3–17.1) <0.01
Platelets (×109/l) 101 (53–157) 114 (47–170) 91 (68–134) 0.23 89 (50–171) 0.63
Missing 1 (1%) 1 (2%) 0 (0%) 0 (0%)
Dengue labs, n (%)
Any dengue test positive 55 (65%) 43 (90%) 12 (63%)
Dengue Ag
Positive 21 (24%) 18 (38%) 3 (16%)
Negative 6 (7%) 5 (10%) 1 (5%)
Dengue Ab
Positive 35 (41%) 24 (50%) 11 (58%)
Negative 8 (9%) 4 (8%) 1 (5%)
Dengue PCR
Positive 4 (5%) 4 (8%)
Negative 2 (2%) 2 (4%)
Malaria labs, n (%)
Any malaria test positive 25 (29%) 17 (94%) 8 (42%)
MP-ICT
Positive 16 (19%) 12 (67%) 4 (21%)
Negative 46 (54%) 9 (47%)
Microscopy for malaria
Positive 18 (21%) 12 (67%) 6 (32%)
Negative 45 (53%) 3 (17%) 10 (53%)
Markers of liver function, median (IQR)
ALT (units/l) 55 (28–162) 63 (31–174) 31 (13–53) <0.01 70 (33–182) 0.02
Missing 10 (12%) 5 (10%) 4 (22%) 1 (5%)
Total bilirubin levels (µmol/l) 0.8 (0.4–1.3) 0.50 (0.3–0.9) 1.2 (0.9–2.9) 0.11 0.9 (0.5–2.6) 0.87
Missing 32 (37%) 21 (44%) 7 (39%) 4 (21%)

WBC White blood cell count, Ag antigen, Ab Antibody, PCR polymerase chain reaction, MP-ICT Malaria P. falciparum/ P. vivax immunochromatographic test, ALT alanine aminotrasferase

Table 3.

Maternal and fetal outcomes of patients who delivered at this hospital

Entire sample
(n = 57)
Dengue (D)
(n = 33)
Malaria (M)
(n = 15)
p-value
(D vs. M)
Multiple infections (Mul)
(n = 9)
p-value
(D vs. M vs. Mul)
Gestational age at delivery (weeks), mean (SD) 35.6 (6.9) 37.6 (4.9) 34.9 (5.2) 0.09 29.8 (11.6) <0.01
Type of delivery, n (%)
SVD 24 (42.8%) 13 (39.4%) 8 (53.3%) 0.51 3 (33.3%) 0.55
LSCS 28 (50.0%) 16 (48.5%) 7 (46.7%) 5 (55.6%)
Instrumental 3 (5.2%) 3 (9.1%) 0 (0%) 0 (0%)
D and E to remove RPOC 2 (3.5%) 1 (3%) 0 (0%) 1 (11.1%)
Status at birth, n (%)
Alive 51 (89.5%) 31 (93.9%) 14 (93.3%) 0.38 6 (66.7%) 0.12
Stillbirth 2 (3.5%) 1 (3%) 0 (0%) 1 (11.1%)
Terminated pregnancy 1 (1.8%) 0 (0%) 1 (6.7%) 0 (0%)
IUFD, uterus unevacuated 1 (1.8%) 0 (0%) 0 (0%) 1 (11.1%)
Incomplete abortion 2 (3.5%) 1 (3%) 0 (0%) 1 (11.1%)
Birth weight (g), mean (SD) 2770 (713) 2969 (577) 2394 (840) 0.02 2674 (740) 0.03
Missinga 3 (5.3%)
Birth anomaly, n (%)
Yes 13 (22.8%) 8 (25.8%) 3 (21.4%) 0.75 2 (33.3%) 0.17
No 38 (66.7%) 23 (74.2%) 11 (78.6%) 4 (66.7%)
NAb 6 (10.5%)
Birth injury, n (%)
Yes 1 (1.8%) 1 (3.2%) 0 (0%) 0.50 0 (0%) 0.72
No 50 (87.7%) 30 (96.8%) 14 (100%) 6 (100%)
NAb 6 (10.5%)
Neonate admitted to, n (%)
NICU 11 (19.3%) 6 (18.2%) 3 (20.0%) 0.98 2 (22.2%) 0.17
WBN 40 (70.2%) 25 (75.8%) 11 (73.3%) 4 (44.4%)
Mortuaryb 6 (10.5%) 2 (6.1%) 1 (6.7%) 3 (33.3%)
Maternal status at discharge, n (%)
Dead 5 (8.8%) 3 (9.1%) 1 (6.7%) 0.78 1 (11.1%) 0.98
Alive 52 (91.2%) 30 (90.9%) 14 (93.3%) 8 (88.9%)

SVD spontaneous vaginal delivery, LSCS lower segment C‑section, D and E dilation and evacuation, RPOC retained products of conception, IUFD intrauterine fetal death

a2 incomplete abortions, 1 IUFD, uterus not evacuated as patient died too

b2 incomplete abortions, 2 stillbirths, 1 termination of pregnancy, 1 IUFD

Perinatal outcomes

Of the 57 women who delivered at this institution 90% (n = 51) delivered an alive fetus, one half (n = 28) of the patients had a delivery via cesarean section. Malaria patients delivered newborns of a lower birth weight (mean ± SD = 2394 ± 840 g) compared with dengue patients (mean ± SD = 2969 ± 577 g) or those with multiple infections (mean ± SD = 2674 ± 740 g) (both p < 0.05). All other maternofetal outcomes (birth anomaly, birth injury, neonatal ICU admission, and in-hospital maternal death) were equivalent among the three groups (all p > 0.05) (Table 3).

Characteristics of patients experiencing an in-hospital death

The results of a subanalysis of patients (n = 6, 7%) experiencing an in-hospital death are noted in Table 4. The median age of the women experiencing an in-hospital death was lower than that of the overall cohort (median: 25 years, IQR: 22–29 years vs. median: 28 years, IQR: 25–32 years) and 50% (n = 3) did not have any prior comorbid conditions. Of these 6 women, nearly all needed intensive care hospitalization (n = 5) due to the development of major complications. Moreover, for 50% (n = 3) the current pregnancy was their first and all but 1 woman delivered an alive fetus. While 5 women had dengue infections, 1 was infected with malaria. Additionally, 2 of the 5 dengue-infected women also had concurrent infection with hepatitis E virus which is known to have an increased severity in the gravid state ([22]; Table 4).

Table 4.

Maternal and fetal outcomes of women who died during admission

No. Maternal age (weeks) BMI Blood pressure (mmHg) Prior diagnoses Gravida/parity Status at admission Gestational age at admission (weeks) Diagnoses during admission Hematocrit (%) Platelets (×109/l) Admitted to Length of stay (days) Fetal outcome
1 22 160/91 Epilepsy, acquired hemophilia B G1P0 Pregnant 35 Dengue fever, ARDS, Liver failure 41.2 12 SCU 6 Alive
2 30 36 140/90 HTN, HELLP G3P2+1 Postpartum 33 Fulminant septic shock secondary to dengue and hepatitis E. Multi-organ failure. Resp failure. Encephalopathy, coagulopathy, DIC. liver failure. Acinetobacter in blood culture 25.6 89 ICU 2 Alive
3 27 28 88/60 None G1P0 Pregnant 31 Dengue and hepatitis E, jaundice, septic shock, multiorgan failure: respiratory failure, AKI, DIC/coagulopathy, cardiovascular instability, acute liver failure, anoxic brain injury 31.1 67 ICU 4 IUFD. Uterus not evacuated
4 39 119/89 HTN G4P2+1 Pregnant 37 Dengue, ARDS, APH 31.4 17 ICU 5 Alive
5 21 27 110/70 None G1P0 Pregnant 40 Complicated dengue fever, GI bleed, septic shock, acute liver failure, PPH 30.9 155 ICU 5 Alive
6 22 18 95/60 None G1P0 Pregnant 28 Complicated malaria vivax, Acute pulmonary edema, ARDS, TRALI, HCAP, VAP, renal failure, bilateral pneumothorax 25.3 25 ICU 23 Alive

BMI body mass index, ARDS acute respiratory distress syndrome, SCU special care unit, ICU intensive care unit, AKI acute kidney injury, DIC disseminated intravascular coagulation, IUFD intrauterine fetal death, APH antepartum hemorrhage, PPH post-partum hemorrhage, TRALI transfusion-related acute lung injury, HCAP healthcare-associated pneumonia, VAP ventilator-associated pneumonia

Discussion

Dengue fever and malaria are two systemic arthropod-borne infections that are endemic to tropical and subtropical South Asian, and African countries [6]. As such, the WHO estimates that nearly 400 million dengue cases and more than 200 million malaria cases occur annually, highlighting the immense burden of this public health problem [21, 23]. While there are robust data examining the clinical course of dengue and malaria, the outcomes of these infections among the pregnant population, however, are not well described. Using retrospective data from a single institution, the present study sought to assess outcomes of pregnant women admitted with a dengue or malaria infection. Among the 85 patients included in the analysis, the majority were unemployed and had no antenatal booking. The cohort was relatively young with a median age of 28 years. Furthermore, more women had contracted dengue fever compared with malaria (56% vs. 21%). Of note, two fifths of the patients received a blood transfusion during admission; one quarter needed intensive care; and more than 14% required intubation. In addition, while patients with dengue became symptomatic and presented to the hospital at an earlier gestational age, patients with malarial infections were more likely to deliver low birth weight infants. Moreover, patients with multiple infections were more likely to deliver preterm and have higher WBC and ALT levels. In the current study one particularly alarming finding was the relatively high mortality rate of 7%. Collectively, these data demonstrate that women contracting dengue and/or malaria infections during pregnancy are at high risk of developing severe illness that can be fatal.

There has been much interest in the outcomes of dengue and malaria in pregnancy; however, the consequences of these infections for the pregnant female remain unclear. For example, while Friedman et al. found that mothers with symptomatic dengue infections during pregnancy were more likely to deliver preterm and have low birth weight infants [12]; in a separate study, Tan et al. reported equivocal perinatal outcomes among women with and without dengue infection [24]. In the present study, we found that most dengue patients delivered at term, with an average gestational age of approximately 38 weeks. Furthermore, babies born to mothers infected with dengue were, on average, of normal birth weight (mean weight [g] = 2969, SD = 577). In addition, the finding of the present study that mothers infected with malaria were more likely to deliver low birth weight babies (mean weight [g] = 2394, SD = 840) is in accordance with that of previous investigators [25]. The mechanism through which malaria causes low birth weight is thought to be related to intrauterine growth restriction (IUGR) [25]. In fact, it is estimated that in certain parts of Africa, up to 70% of the risk of IUGR is attributable to malaria [26].

Importantly, in the present cohort, most patients were young, unemployed, and did not have their pregnancy registered with an obstetrician. These findings add to the current literature and emphasize the existing inequities in the provision of healthcare for women belonging to developing countries. Of note, Pakistani society is widely acknowledged to be patriarchal with gender norms restricting women’s mobility, access to health services, and professional opportunities [27, 28]. In an ethnographic analysis, Mumtaz and Salway reported that women’s subordinate position within the household, economic dependency, and the taboos surrounding pregnancy contribute to the reduced utilization of antenatal services [27]. Additionally, there is growing evidence that education level is closely tied to improved health. For example, higher levels of female education have shown to be correlated with increased utilization of antenatal care [27]. To this end, sustained efforts are needed at multiple levels for tackling low female enrolment in schools, as well as for providing safe, reliable, female-centric public transport services to address the sex-based disparities in healthcare provision.

Pregnant women are thought to be more vulnerable to infectious diseases and can have an increased severity of illness with rapid progression to complications and even death. Alarmingly, the mortality rate of the present cohort was particularly high at 7% (n = 6). As such, previous studies have shown that pregnant women have a fourfold increased risk of developing severe dengue compared to non-pregnant women [29]. Indeed, previous authors have also noted the dengue case fatality rate to be higher among pregnant patients relative to the non-pregnant population [29]. In the current study, all the patients who experienced an in-hospital death had multiorgan involvement with all but one patient needing ICU admission. In contrast, in the overall cohort, one quarter of patients required ICU admission. In this context, the data in the current study are derived from a tertiary care center, and the high mortality rate should be interpreted with the caveat that patients at tertiary care hospitals are more likely to have severe disease. Of interest, in the current study the platelet levels were deranged below the lower end of normal with up to 40% of patients receiving a blood transfusion. The degree of thrombocytopenia among patients infected with dengue/malaria is an indicator of clinical severity and is thought to be due to platelet lysis by the complement cascade, platelet consumption secondary to disseminated intravascular coagulation, and disruption of the hematopoietic cells by the pathogens [30, 31]. Moreover, the diagnosis of dengue/malaria in pregnancy is made challenging due to similar symptomatology (such as thrombocytopenia, impaired liver function, and decreased urine output) as other pregnancy-related conditions such as pre-eclampsia. As such, physicians practicing in endemic regions should entertain a high index of suspicion to be able to differentiate between the two conditions and successfully manage patients [32].

To the best of our knowledge this is the largest South Asian cohort to compare dengue and malaria infections in terms of maternofetal outcomes. The setting of a tertiary care center enabled collection and analysis of detailed patient information including disease presentation, diagnostic work-up, and management while lowering the deficits in the variables. In addition, data collection spanning 5 years helped account for seasonal variation of disease incidence, as well as the annual variations in severity of dengue infections seen during outbreaks. The results of the present study, however, should be interpreted with several limitations in mind. First, this was a retrospective study and therefore subject to coding errors and selection biases. Moreover, the study analyzed data from a single institution, thereby limiting generalizability and preventing analysis of the geographical distribution of the malaria and dengue pathogens. Additionally, in the present cohort, the minority of patients did not deliver at this hospital, therefore the fetal outcomes could not be assessed.

Notwithstanding these limitations, the current study provides important data on the clinical course and outcomes of dengue or malaria infections among pregnant patients. The cohort was predominantly young, and the majority had contracted dengue fever. Nearly two fifths of the patients received a blood transfusion during admission; one quarter of patients had an ICU admission and 14% were intubated. While patients with dengue presented at an earlier gestational age, patients with multiple infections were more likely to deliver preterm and have higher WBC and ALT levels. Patients with malarial infections delivered babies of a lower birth weight than the other two groups. A particularly worrisome finding was the relatively high mortality rate of 7%. The present study provides useful data to obstetricians and infectious disease specialists who may encounter pregnant patients with dengue or malarial infections. Moreover, these data can potentially serve as an initial guide to clinicians as they engage in conversations with patients regarding prognosis and initial treatment strategies. Given the rise in vector-borne illnesses globally, it has become imperative to develop more efficient guidelines for the screening, diagnosis and management of such infections, allowing tailored prevention programs in the obstetric population.

Caption Electronic Supplementary Material

508_2019_1606_MOESM1_ESM.docx (12.8KB, docx)

Table S1: List of included infections in the Multiple infections category (defined as Dengue and/or Malaria in addition to any of the following)

Conflict of interest

M. Mubashir, K.S. Ahmed, H. Mubashir, A. Quddusi, A. Farooq, S.I. Ahmed, B. Jamil, and R. Qureshi declare that they have no competing interests.

Footnotes

All authors contributed equally to the manuscript.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Nour NM. An introduction to maternal mortality. Rev Obstet Gynecol. 2008;1(2):77–81. [PMC free article] [PubMed] [Google Scholar]
  • 2.Kourtis AP, Read JS, Jamieson DJ. Pregnancy and infection. N Engl J Med. 2014;371(11):1077. doi: 10.1056/NEJMc1405047. [DOI] [PubMed] [Google Scholar]
  • 3.Bhutta ZA, Sommerfeld J, Lassi ZS, Salam RA, Das JK. Global burden, distribution, and interventions for infectious diseases of poverty. Infect Dis Poverty. 2014;3:21. doi: 10.1186/2049-9957-3-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rogerson SJ, Desai M, Mayor A, Sicuri E, Taylor SM, van Eijk AM. Burden, pathology, and costs of malaria in pregnancy: new developments for an old problem. Lancet Infect Dis. 2018;18(4):e107–e18. doi: 10.1016/S1473-3099(18)30066-5. [DOI] [PubMed] [Google Scholar]
  • 5.Singla N, Arora S, Goel P, Chander J, Huria A. Dengue in pregnancy: an under-reported illness, with special reference to other existing co-infections. Asian Pac J Trop Med. 2015;8(3):206–208. doi: 10.1016/S1995-7645(14)60316-3. [DOI] [PubMed] [Google Scholar]
  • 6.Autino B, Noris A, Russo R, Castelli F. Epidemiology of malaria in endemic areas. Mediterr J Hematol Infect Dis. 2012;4(1):e2012060. doi: 10.4084/mjhid.2012.060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.World Health Organization (WHO). World Malaria Report. 2018. https://apps.who.int/iris/bitstream/handle/10665/275867/9789241565653-eng.pdf. Accessed Jan 17, 2020.
  • 8.Moore KA, Simpson JA, Scoullar MJL, McGready R, Fowkes FJI. Quantification of the association between malaria in pregnancy and stillbirth: a systematic review and meta-analysis. Lancet Glob Health. 2017;5(11):e1101–e12. doi: 10.1016/S2214-109X(17)30340-6. [DOI] [PubMed] [Google Scholar]
  • 9.Taylor SM, Ter Kuile FO. Stillbirths: the hidden burden of malaria in pregnancy. Lancet Glob Health. 2017;5(11):e1052–e3. doi: 10.1016/S2214-109X(17)30378-9. [DOI] [PubMed] [Google Scholar]
  • 10.Takem EN, D’Alessandro U. Malaria in pregnancy. Mediterr J Hematol Infect Dis. 2013;5(1):e2013010. doi: 10.4084/mjhid.2013.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ong A, Sandar M, Chen MI, Sin LY. Fatal dengue hemorrhagic fever in adults during a dengue epidemic in Singapore. Int J Infect Dis. 2007;11(3):263–267. doi: 10.1016/j.ijid.2006.02.012. [DOI] [PubMed] [Google Scholar]
  • 12.Friedman EE, Dallah F, Harville EW, Myers L, Buekens P, Breart G, et al. Symptomatic Dengue infection during pregnancy and infant outcomes: a retrospective cohort study. PLoS Negl Trop Dis. 2014;8(10):e3226. doi: 10.1371/journal.pntd.0003226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Nascimento LB, Siqueira CM, Coelho GE, Siqueira JB. Symptomatic dengue infection during pregnancy and livebirth outcomes in Brazil, 2007–13: a retrospective observational cohort study. Lancet Infect Dis. 2017;17(9):949–956. doi: 10.1016/S1473-3099(17)30169-X. [DOI] [PubMed] [Google Scholar]
  • 14.Paixão ES, Costa MDCN, Teixeira MG, Harron K, de Almeida MF, Barreto ML, et al. Symptomatic dengue infection during pregnancy and the risk of stillbirth in Brazil, 2006–12: a matched case-control study. Lancet Infect Dis. 2017;17(9):957–964. doi: 10.1016/S1473-3099(17)30366-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Pouliot SH, Xiong X, Harville E, Paz-Soldan V, Tomashek KM, Breart G, et al. Maternal dengue and pregnancy outcomes: a systematic review. Obstet Gynecol Surv. 2010;65(2):107–118. doi: 10.1097/OGX.0b013e3181cb8fbc. [DOI] [PubMed] [Google Scholar]
  • 16.Machain-Williams C, Raga E, Baak-Baak CM, Kiem S, Blitvich BJ, Ramos C. Maternal, fetal, and neonatal outcomes in pregnant dengue patients in Mexico. Biomed Res Int. 2018;2018:9643083. doi: 10.1155/2018/9643083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Rasheed SB, Butlin RK, Boots M. A review of dengue as an emerging disease in Pakistan. Public Health. 2013;127(1):11–17. doi: 10.1016/j.puhe.2012.09.006. [DOI] [PubMed] [Google Scholar]
  • 18.Khattak AA, Venkatesan M, Nadeem MF, Satti HS, Yaqoob A, Strauss K, et al. Prevalence and distribution of human plasmodium infection in Pakistan. Malar J. 2013;12:297. doi: 10.1186/1475-2875-12-297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Basurko C, Everhard S, Matheus S, Restrepo M, Hildéral H, Lambert V, et al. A prospective matched study on symptomatic dengue in pregnancy. PLoS ONE. 2018;13(10):e0202005. doi: 10.1371/journal.pone.0202005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Centers for Disease Control and Prevention (CDC). Malaria diagnosis (United States). 2018. https://www.cdc.gov/malaria/diagnosis_treatment/diagnosis.html. Accessed Jan 17, 2020.
  • 21.World Health Organization. Malaria. 2019. https://www.who.int/news-room/fact-sheets/detail/malaria. Accessed Jan 17, 2020.
  • 22.Teshale EH, Hu DJ, Holmberg SD. The two faces of hepatitis E virus. Clin Infect Dis. 2010;51(3):328–334. doi: 10.1086/653943. [DOI] [PubMed] [Google Scholar]
  • 23.da Silva Oliveira LN, Itria A, Lima EC. Cost of illness and program of dengue: a systematic review. PLoS ONE. 2019;14(2):e0211401. doi: 10.1371/journal.pone.0211401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tan PC, Rajasingam G, Devi S, Omar SZ. Dengue infection in pregnancy: prevalence, vertical transmission, and pregnancy outcome. Obstet Gynecol. 2008;111(5):1111–1117. doi: 10.1097/AOG.0b013e31816a49fc. [DOI] [PubMed] [Google Scholar]
  • 25.De Beaudrap P, Turyakira E, White LJ, Nabasumba C, Tumwebaze B, Muehlenbachs A, et al. Impact of malaria during pregnancy on pregnancy outcomes in a Ugandan prospective cohort with intensive malaria screening and prompt treatment. Malar J. 2013;12:139. doi: 10.1186/1475-2875-12-139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Steketee RW, Nahlen BL, Parise ME, Menendez C. The burden of malaria in pregnancy in malaria-endemic areas. Am J Trop Med Hyg. 2001;64(1–2):28–35. doi: 10.4269/ajtmh.2001.64.28. [DOI] [PubMed] [Google Scholar]
  • 27.Mumtaz Z, Salway SM. Gender, pregnancy and the uptake of antenatal care services in Pakistan. Sociol Health Illn. 2007;29(1):1–26. doi: 10.1111/j.1467-9566.2007.00519.x. [DOI] [PubMed] [Google Scholar]
  • 28.Mumtaz Z, Salway S, Waseem M, Umer N. Gender-based barriers to primary health care provision in Pakistan: the experience of female providers. Health Policy Plan. 2003;18(3):261–269. doi: 10.1093/heapol/czg032. [DOI] [PubMed] [Google Scholar]
  • 29.Machado CR, Machado ES, Rohloff RD, Azevedo M, Campos DP, de Oliveira RB, et al. Is pregnancy associated with severe dengue? A review of data from the Rio de Janeiro surveillance information system. PLoS Negl Trop Dis. 2013;7(5):e2217. doi: 10.1371/journal.pntd.0002217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.de Azeredo EL, Monteiro RQ, de-Oliveira Pinto LM. Thrombocytopenia in dengue: interrelationship between virus and the imbalance between coagulation and fibrinolysis and inflammatory mediators. Mediators Inflamm. 2015;2015:313842. doi: 10.1155/2015/313842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Kotepui M, Phunphuech B, Phiwklam N, Chupeerach C, Duangmano S. Effect of malarial infection on haematological parameters in population near Thailand-Myanmar border. Malar J. 2014;13:218. doi: 10.1186/1475-2875-13-218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Ismail NA, Kampan N, Mahdy ZA, Jamil MA, Razi ZR. Dengue in pregnancy. Southeast Asian J Trop Med Public Health. 2006;37(4):681–683. [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

508_2019_1606_MOESM1_ESM.docx (12.8KB, docx)

Table S1: List of included infections in the Multiple infections category (defined as Dengue and/or Malaria in addition to any of the following)


Articles from Wiener Klinische Wochenschrift are provided here courtesy of Nature Publishing Group

RESOURCES