Risks for preterm delivery and low birth weight are independently increased by severity of maternal anaemia.
Objective. To estimate the effect of the severity of maternal
anaemia on various perinatal outcomes.
Design. A cross-sectional study.
Setting. Labour Ward, Muhimbili National Hospital, Dar es Salaam, Tanzania.
Methods. The haemoglobin of eligible pregnant women admitted for delivery between 15 November 2002 and 15 February 2003 was measured. Data on socio-demographic characteristics, iron supplementation, malaria prophylaxis, blood transfusion during current pregnancy, and current and previous pregnancy outcomes were collected and analysed. Anaemia was classified according to the World Health Organization (WHO) standards: normal--Hb [greater than or equal to] 11.0 g/dl; mild--Hb 9.0-10.9 g/dl; moderate--Hb 7.0-8.9 g/dl; and severe --Hb <7.0 g/dl. Logistic regression analysis was performed to estimate the severity of anaemia. The following outcome measures were used: preterm delivery (<37 weeks), Apgar score, stillbirth, early neonatal death, low birth weight (LBW) (<2 500 g) and very low birth weight (VLBW) (<1 500 g).
Results. A total of 1 174 anaemic and 547 non-anaemic women were enrolled. Their median age was 24 years (range 14-46 years) and median parity was 2 (range 0-17). The prevalence of anaemia and severe anaemia was 68% and 5.8%, respectively. The risk of preterm delivery increased significantly with the severity of anaemia, with odds ratios of 1.4, 1.4 and 4.1 respectively for mild, moderate and severe anaemia. The corresponding risks for LBW and VLBW were 1.2 and 1.7, 3.8 and 1.5, and 1.9 and 4.2 respectively.
Conclusion. The risks of preterm delivery and LBW increased in proportion to the severity of maternal anaemia.
Birth weight, Low
Premature labor (Risk factors)
Anemia (Complications and side effects)
Pregnant women (Health aspects)
Kidanto, Hussein L.
|Publication:||Name: South African Medical Journal Publisher: South African Medical Association Audience: Academic Format: Magazine/Journal Subject: Health Copyright: COPYRIGHT 2009 South African Medical Association ISSN: 0256-9574|
|Issue:||Date: Feb, 2009 Source Volume: 99 Source Issue: 2|
|Topic:||Canadian Subject Form: Premature labour|
|Geographic:||Geographic Scope: South Africa Geographic Code: 6SOUT South Africa|
Anaemia is the most widespread nutritional disorder in the world,
affecting 30% of the global population, and is even more prevalent among
pregnant women. Massawe et al. showed that 65% of pregnant women
attending antenatal clinics in Dar es Salaam were anaemic; (1) this
constitutes a public health problem that requires attention.
Anaemia has a significant impact on the health of mother and fetus especially if the condition is severe; however, the literature is conflicting about the association between anaemia and perinatal outcomes. Some studies (2-4) have demonstrated a strong association between low haemoglobin before delivery and adverse outcomes such as preterm delivery, low birth weight (LBW), intra-uterine growth retardation, small-for-gestational-age and anaemia, while other studies found no association. (5,6) A meta-analysis showed that anaemia during early pregnancy, but not late pregnancy, is associated with slightly increased risk of preterm delivery and LBW. (7) Many studies have used different definitions and were performed in areas with a low prevalence of anaemia. (7) There is therefore insufficient information to conclusively assess the effect of maternal anaemia on perinatal outcomes.
Our study set out to investigate the effect of the severity of maternal anaemia on various perinatal outcomes in an area with a high prevalence of anaemia.
Subjects and methods
Our study was conducted on pregnant women in the labour ward of Muhimbili National Hospital (MNH), Dar es Salaam, between 15 November 2002 and 15 February 2003. The hospital is a referral centre for Dar es Salaam and the coastal region but occasionally receives patients from elsewhere in the country. The MNH is a teaching hospital for the Muhimbili University of Health and Allied Sciences. The average number of deliveries per year ranges from 13 000 to 17 000.
Our initial sample totalled 3 275 women, from whom we selected all who met the inclusion criteria, i.e. attended outpatient care before 16 weeks' gestation, were aged [greater than or equal to] 16 years, and had a singleton pregnancy with a complete medical record. Women with multiple gestations, antepartum haemorrhage, a previous history of preterm delivery, or chronic diseases such as tuberculosis, sickle cell anaemia and malignancy, and who were admitted in the second stage of labour or had eclampsia, were excluded to control for confounding factors. Accordingly, 1 721 women remained for analysis. All eligible women were informed of the aims of the study and were asked to participate.
Women were interviewed in Swahili using a pretested questionnaire. Information was collected on socioeconomic characteristics, previous pregnancy outcome, iron supplementation, malaria prophylaxis and blood transfusion because of anaemia or treatment for malaria during the current pregnancy. The questionnaire was pretested on 33 women and was assessed as appropriate for the purposes of the study.
Although haemoglobin measurement was standard for pregnant women during antenatal care (ANC), this study required an additional collection of blood samples from all eligible women admitted to the labour ward to estimate the haemoglobin level for the purpose of standardisation. Venous blood samples were collected on admission to MNH, and the haemoglobin level was estimated using a Coulter machine. A thick blood film was also taken, fixed and Giemsa-stained, and malaria parasites were counted under the microscope as a ratio of number of parasites to 200 leucocytes. Measurement of haemoglobin was done by a senior laboratory technician; the Coulter machine was calibrated daily to ensure validity of the results.
Epi Info and SPSS were used for data entry and statistical analysis, respectively. Pearson's chi-squared test was used to test the difference between two categorical variables. A logistic regression analysis was performed separately for each perinatal outcome to estimate the effect of mild, moderate and severe maternal anaemia. Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were calculated, using non-anaemic women as the reference category.
Ethical clearance was obtained from the Ethical and Publication Committee of the Muhimbili University College of Health Sciences, Dar es Salaam.
Anaemia in pregnancy was defined according to the World Health Organization (WHO) standards as: normal--Hb [greater than or equal to] 11.0 g/dl; mild--Hb 9.0 - 10.9 g/dl; moderate--Hb 7.0-8.9 g/dl; and severe--Hb <7.0 g/dl.
Gestational age was defined according to Naegele's formula as the duration of the pregnancy in weeks, i.e. from the first day of the last normal menstrual period (LNMP) to the date of delivery, and compared with first-trimester ultrasound as recorded in the patient's antenatal record.
Preterm delivery was defined using the international definition endorsed by the World Health Organization (WHO) in 1977 and the International Federation of Gynaecology and Obstetrics in 1986, where term pregnancy includes gestational age of 37 -41 completed weeks (259 - 293 days), preterm pregnancy gestational age is <37 weeks (<259 days) and post-term pregnancy gestational age is [greater than or equal to] 42 weeks ([greater than or equal to] 294 days).
Low birth weight (LBW) and very low birth weight (VLBW) were defined as birth weight <2 500 g and <1 500 g respectively.
Apgar score was assessed at 1 and 5 minutes after birth.
Early neonatal death was defined as death during the first 7 days of life.
Stillbirth was defined as intra-uterine fetal death.
Positive malaria test was defined as the presence of malaria parasites in a thick blood film examined under microscope.
A total of 1 721 pregnant women participated; the median age 24 years (range 14 - 46 years), and median parity was 2 (range 0-17). The prevalence of anaemia and severe anaemia was 68% and 5.8%, respectively (Table I). There was no difference in the prevalence of anaemia and severe anaemia according to socio-demographic characteristics, with the exception of anaemia and occupation (p=0.003).
The overall prevalence of positive blood slides for malaria was 6.4%; this increased from 5.5% in the non-anaemic group to 6.7%, 5.8% and 11% in the mild, moderate and severe anaemic groups, respectively; 23% had a history of at least one malaria episode during the index pregnancy. The prevalence of malaria decreased according to increasing age for women [less than or equal to] 19, 20 - 29, 30 - 39 and =40 years, to 8.3%, 6.5%, 4.6% and 4.3% respectively.
The prevalence of preterm delivery and LBW was 17% and 14%, respectively. The risk of preterm delivery increased significantly with severity of anaemia with ORs of 1.4, 1.4 and 4.1 for women with mild, moderate and severe anaemia, compared with women with normal haemoglobin levels (Table II). The corresponding risks for LBW and VLBW were 1.2, 1.7 and 3.8, and 1.5, 1.9 and 4.2 respectively. There was no association between severity of anaemia and Apgar score, stillbirths and early neonatal deaths.
Anaemia is a common problem during pregnancy in most developing countries. Pregnancy outcomes vary depending on its type and severity. Although the association between anaemia during pregnancy and adverse perinatal outcomes has been studied extensively, the literature is still conflicting. It has been reported that maternal anaemia diagnosed before mid-pregnancy is associated with an increased risk of preterm delivery, (8,10) but other researchers found no association between anaemia during the last trimester and adverse pregnancy outcomes; (7) however, most of these studies were not able to study anaemia according to severity of the disease.
In our study, the prevalence of anaemia and severe anaemia was high (68% and 5.8% respectively). A previous study in the same area indicated that a major proportion of women at reproductive age were anaemic before entering pregnancy. (11,17) It is therefore probable that many women were anaemic before their index pregnancy.
Preterm birth and LBW have been demonstrated to contribute significantly to early neonatal deaths. (12,13) At MNH, prematurity and birth asphyxia were the main causes of perinatal death. Some studies have demonstrated that severe anaemia (<7.0 g/dl) is associated with birth weight figures which are 200-400 g lower than in women with higher (>10 g/dl) haemoglobin values, but these studies generally have not excluded other factors that might also have contributed to LBW and severity of anaemia. (4)
The correlation between prematurity and birth weight points to a probable association with small-for-gestational-age (SGA). However, the SGA classification is meaningful only when gestational duration has been established by an appropriate method, e.g. gestational age assessed by ultrasound in the second trimester. The other requisite for an adequate SGA assessment is reference curves of fetal growth in the population under investigation. There were no such references available for the population in our study. To create them in this tertiary centre is possible but they will have low validity because of the selected population. The validity of birth charts is based on reliable estimation of gestational age expressed as completed weeks, in accordance with international recommendations. (14) This is not the case at MNH since not all women undergo confirmation of gestational age by ultrasound.
Our study was conducted in an area with a known high prevalence of anaemia during pregnancy, (11) which was an advantage concerning the research objective. Maternal anaemia detected during the later stages of pregnancy, especially the second trimester, often reflects the physiological expansion of maternal plasma. In this study, maternal haemoglobin was measured at delivery, at the end of the third trimester in most cases. Women included in the study had attended various ANC clinics using different methods of haemoglobin measurement. Furthermore, some women had had no antenatal haemoglobin measurements done during pregnancy. To ensure quality of data, we decided to measure haemoglobin on admission to standardise the measurement.
Although the study area was endemic for malaria, only 6.4% of the pregnant women had peripheral malaria; and the fact that 1 in 4 women had a positive history of treatment for malaria during their current pregnancy confirms that a thick blood film is not always a reliable test for malaria in pregnancy. The low laboratory figure may be attributed either to intermittent presumptive prophylaxis or placental localisation of the parasites, which we did not investigate. The mechanisms of malaria's serious effects in pregnancy have not yet been fully established. (15) However, it appears probable that a major factor is the severe anaemia caused by malarial parasitaemia. Previous studies have indicated that malaria increases the risk of preterm birth, and 25% of the babies born are also anaemic. (16) Placental malarial infestation may lead to severe intra-uterine growth restriction of the fetus, which in turn predisposes to preterm birth.
Severe anaemia is an indicator of nutritional deficiency, and it contributes to several maternal diseases, all of which may affect pregnancy outcomes and fetal development. In particular, all maternal infections and parasitic diseases may directly cause preterm labour and retardation of fetal growth. The complications of preterm labour and pregnancy-related infections have a mutual causal effect. Maternal infections during pregnancy are well-known risk factors for preterm labour; examination of amniotic fluid or placental membranes shows the presence of bacteria or inflammatory cytokines, and appropriate treatment can reduce the adverse effects. (16) The scope of our study did not include investigating the impact of infections on premature labour and anaemia, which we consider to be a disadvantage. However, a previous study (17) conducted within the same catchment area revealed that, in addition to a range of micronutrient deficiencies, chronic infections such as HIV also contributed to the occurrence of anaemia, and C-reactive protein increased in most of the anaemic patients. Studies elsewhere (18) indicate that women with HIV have a small increased risk of miscarriage, stillbirth, perinatal and neonatal mortality, intra-uterine growth restriction and LBW babies. In our study area, where anaemia is caused by a combination of factors, HIV is only one of the infections that would impinge on maternal anaemia; consequently, information on HIV serostatus alone is probably of limited value since anaemia can only be expected in a later phase.
Our hospital-based study in the referral centre may not be representative of the Dar es Salaam population in general; however, our findings are consistent with previous community-based studies in the same area. (17)
The strong association shown in this study between anaemia, LBW and preterm delivery demonstrates that maternal anaemia should be seen as an important predictor for increased perinatal risk, although it is not possible to evaluate to what extent this relates to the maternal anaemic condition per se.
The prevalence of anaemia and severe anaemia was high. The risks of preterm delivery and LBW were significantly and independently increased relative to the severity of maternal anaemia found on admission for delivery.
We thank the Department for Research Co-operation (SAREC), within the Swedish International Development Agency (SIDA), for their financial support which enabled this study to be conducted; and the Muhimbili National Hospital administration for allowing us to conduct the study in the hospital.
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(2.) Scanlon KS, Yip R, Schieve LA, Cogswell ME. High and low hemoglobin levels during pregnancy: differential risks for preterm birth and small for gestational age. Obstet Gynecol 2000; 96(5 pt 1): 741-748.
(3.) Lone FW, Qureshi RN, Emanuel F. Maternal anaemia and its impact on perinatal outcome. Trop Med Int Health 2004; 9(4): 486-490.
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(5.) Levy A, Fraser D, Katz M, et al. Maternal anaemia during pregnancy is an independent risk factor for low birth weight and birth outcome: A meta analysis. Am J Perinatol 2005; 122(2): 182-186.
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(11.) Massawe SN, Urassa EN, Nystrom L, Lindmark G. Anaemia in pregnancy: perceptions of patients in Dar-es-Salaam. East Afr Med J 1995; 72(8): 498-503.
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Accepted 2 December 2008.
Department of Obstetrics and Gynaecology, Muhimbili National Hospital, Dar es Salaam, Tanzania
Hussein L Kidanto, MD, MMed Siriel Massawe, MD, MMed, PhD
Department of Clinical Science, Obstetrics and Gynaecology, Umea University, Umea, Sweden
Ingrid Mogren, MD, MMed, PhD
Department of Women's and Children's Health, Academic Hospital, Uppsala, Sweden Gunilla Lindmark, MD, MMed, PhD
Division of Epidemiology and Public Health Sciences, Department of Public Health and Clinical Medicine, Umea University
Hussein L Kidanto, MD, MMed Ingrid Mogren, MD, MMed, PhD Lennarth Nystrom, BA, PhD SN Massawe, MD, MMed, PhD
Corresponding author: H Kidanto (firstname.lastname@example.org)
Table I. Prevalence of anaemia (Hb <11 g/dl) and severe anaemia (Hb <7.0 g/dl) by specified socio-demographic characteristics Socio-demographic characteristics No. of women (%) Age (years) [less than or equal to] 19 329 (19.1) 20-29 986 (57.3) 30-39 348 (20.2) [greater than or equal to] 40 23 (1.3) Marital status Single 82 (4.8) Married 1 008 (58.6) Cohabiting 619 (36.0) Parity 0 747 (43.4) 1 469 (27.3) 2 248 (14.4) [greater than or equal to] 3 246 (14.3) Education level Illiterate 102 (5.9) Schooling <7 years 99 (5.8) Primary level (7 years) 1 159 (67.3) Secondary level 305 (17.7) Post secondary level 44 (2.6) Occupation Housewife 1 321 (76.8) Peasant 40 (2.3) Casual worker 265 (15.4) Professional job 87 (5.1) Total 1 721 Anaemia Severe anaemia Socio-demographic characteristics N % N % Age (years) [less than or equal to] 19 237 72.0 12 3.6 20-29 677 68.7 67 6.8 30-39 216 62.1 18 5.2 [greater than or equal to] 40 16 69.6 2 8.7 Marital status Single 56 67.7 6 7.3 Married 682 67.7 54 5.4 Cohabiting 427 69.0 38 6.1 Parity 0 492 65.9 35 4.7 1 332 70.8 28 6.0 2 176 67.3 19 7.7 [greater than or equal to] 3 177 72.0 18 7.3 Education level Illiterate 69 67.6 1 1.0 Schooling <7 years 75 75.8 9 9.1 Primary level (7 years) 800 69.0 68 5.9 Secondary level 197 64.6 18 5.9 Post secondary level 24 54.5 2 4.5 Occupation Housewife 927 70.2 77 5.8 Peasant 30 75.0 3 7.5 Casual worker 164 61.9 15 5.7 Professional job 49 56.3 4 4.6 Total 1 174 68.2 100 5.8 Table II. Bivariated logistic regression analysis of the impact of severity of anaemia on the perinatal outcomes. Odds ratio (OR) and 95% confidence intervals (CI) using the non-anaemic group as reference group Non-anaemic Level of anaemia (Hb [greater than or equal to] 11.0 g/dl) Mild (Hb 9.0-10.9 g/dl) Perinatal outcome N = 547 OR N = 671 OR 95% CI Apgar at 1 min. <7 113 1 162 1.1 0.85-1.5 Apgar at 5 min. <7 78 1 108 1.2 0.84-1.6 Preterm delivery 68 1 112 1.4 1.01-1.9 Stillbirth 38 1 44 0.96 0.61-1.5 Early neonatal death 5 1 18 3.0 1.1-8.1 LBW 59 1 86 1.2 0.85-1.7 LBW; GA <37 weeks 33 1 54 1.02 0.68-1.5 LBW; malaria neg. 57 1 80 3.6 0.44-31 VLBW 7 1 13 1.5 0.60-3.9 Level of anaemia Moderate (Hb 7.0-8.9 g/dl)) Perinatal outcome N = 403 OR 95% CI Apgar at 1 min. <7 88 1.1 0.78-1.5 Apgar at 5 min. <7 54 0.93 0.64-1.4 Preterm delivery 67 1.4 0.96-2.0 Stillbirth 29 1.1 0.63-1.7 Early neonatal death 9 2.5 0.82-7.5 LBW 72 1.7 1.2-2.6 LBW; GA <37 weeks 35 0.75 0.37-1.5 LBW; malaria neg. 68 3.4 0.36-31 VLBW 10 1.9 0.73-5.1 Level of anaemia Severe (Hb <7.0 g/l) Perinatal outcome N = 100 OR 95% CI Apgar at 1 min. <7 21 1.1 0.62-1.8 Apgar at 5 min. <7 15 1.1 0.61-2.0 Preterm delivery 37 4.1 2.5-6.6 Stillbirth 11 1.7 0.84-3.5 Early neonatal death 3 3.6 0.84-15 LBW 30 3.8 2.3-6.3 LBW; GA <37 weeks 22 2.2 0.8-5.7 LBW; malaria neg. 28 4.1 0.35-46 VLBW 5 4.2 1.3-14 Preterm delivery = gestational age <37 weeks of gestation; Early neonatal death = death during the first 7 days of life (cases of stillbirth excluded from analysis); Stillbirth = intra-uterine fetal death (early neonatal deaths excluded from the reference group); LBW = low birth weight, i.e. birth weight <2 500 g; VLBW = very low birth weight, i.e. birth weight <1 500 g.
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