Sero-prevalence and factors associated with Toxoplasma gondii infection among pregnant women attending antenatal care in Mwanza, Tanzania

  • Berno Mwambe1,

    Affiliated with

    • Stephen E Mshana2,

      Affiliated with

      • Benson R Kidenya3Email author,

        Affiliated with

        • Anthony N Massinde1,

          Affiliated with

          • Humphrey D Mazigo4,

            Affiliated with

            • Denna Michael5,

              Affiliated with

              • Charles Majinge1 and

                Affiliated with

                • Uwe Groß6

                  Affiliated with

                  Contributed equally
                  Parasites & Vectors20136:222

                  DOI: 10.1186/1756-3305-6-222

                  Received: 18 June 2013

                  Accepted: 2 August 2013

                  Published: 6 August 2013

                  Abstract

                  Background

                  Serological screening of pregnant women for Toxoplasma gondii-specific antibodies is not practiced as an antenatal care in Tanzania; and there is a limited data about sero-prevalence of T. gondii infection in developing countries. We therefore conducted this study to determine the sero-prevalence and factors associated with T. gondii infection among pregnant women attending antenatal care clinics in Mwanza, Tanzania.

                  Methods

                  Between 1st November 2012 and 31st May 2013 a total of 350 pregnant women attending antenatal care clinics in Mwanza were enrolled and screened for IgG and IgM antibodies against T. gondii using the ELISA technique.

                  Results

                  Of 350 pregnant women, 108 (30.9%) were sero-positive for T. gondii-specific antibodies. The risk of contracting T. gondii infection increases by 7% with each yearly increase in a woman’s age (OR=1.07, 95% CI: 1.02 - 1.11, p=0.002). The sero-positivity rate of T. gondii- specific antibodies was higher among pregnant women from the urban than those from rural communities (41.5% versus 22.0%); [OR=2.2, 95% CI; 1.4 - 3.7, p=0.001]. Likewise employed/business women were more likely to get T. gondii infection than peasants (40.0% versus 25.9%) [OR=1.9, 95% CI: 1.2 - 3.0, p=0.006].

                  Conclusions

                  Sero-prevalence of T. gondii- specific antibodies is high among pregnant women in Mwanza with a significant proportion of women at risk of contracting primary T. gondii infections. Screening of T. gondii infections during antenatal care should be considered in Tanzania as the main strategy to minimize congenital toxoplasmosis.

                  Background

                  Primary infections with T. gondii acquired during pregnancy are usually asymptomatic for the pregnant woman but can lead to serious neonatal complications [1]. Toxoplasmosis in pregnancy has been associated with miscarriage, hydrocephalus, cerebral calcification and chorioretinitis in the newborn [2]. Primary infection with T. gondii during the third trimester of pregnancy carries a higher risk of congenital transmission than if it is acquired during the first trimester [3, 4]. Generally, it is estimated that about one third of the world’s population is infected with T. gondii[5, 6]. In developed countries, congenital toxoplasmosis affects 0.01% - 0.1% of infants [5]. In a study done in Dar es Salaam, Tanzania a sero-prevalence of 35% was reported in pregnant women in 1995 [7]. Since then there has been no follow-up study done and no intervention programme implemented. Antenatal serological screening of T. gondii infection based on IgG and IgM detection is the mainstay in monitoring the risk for congenital toxoplasmosis. Maternal-fetal intervention for toxoplasmosis can be achieved through the use of drugs such as spiramycine which prevents congenital infection by more than 60% [5]. In Tanzania, there is no screening program during antenatal care for pregnant women. Therefore, this study aimed at determining the seroprevalence of T. gondii infection and its associated factors to provide basic information that could be used to justify the introduction of an antenatal screening programme in Tanzania.

                  Methods

                  An analytical cross–sectional health facility based study was conducted from 1st November 2012 to 31st May 2013 and was approved by Bugando Medical Centre/Catholic University of Health and Allied Sciences ethics review committee. The study was conducted in Mwanza, in the three highly populated public antenatal care clinics as representative sites (Igombe Health Centre, Sekou-Toure Regional Hospital and UMATI clinic). Igombe Health Centre is located in Ilemela district about 20 kilometers from Mwanza city centre, Igombe was considered as a rural area in this study. Sekou-Toure Regional Hospital and UMATI clinic are located in Mwanza city centre and were considered as urban areas. Mwanza is one of the largest cities of Tanzania and the capital of the Lake Victoria region. The staple foods for people living in Mwanza are maize, rice, fish, beef and chicken. The meat is usually cooked but may be eaten undercooked especially when taken in bars (Nyama Choma).

                  All pregnant women attended these clinics with gestational age between 8–42 weeks were serially enrolled until the sample size was reached. The sample size was estimated using the Kish Lisle formula for a cross-sectional study; a prevalence (p) of 35% from the study in Dar es Salaam was used to calculate the sample size [7], resulting in a minimum sample size of 350 pregnant women.

                  Sample collection procedure and laboratory work

                  About 4 mL of venous blood was collected aseptically from each of the 350 pregnant women, of these 180 were from Igombe and 170 from UMATI and Sekou-Toure. All specimens were transported to the Bugando Medical Centre where serum was separated from the whole blood by centrifugation at 3,000 rpm for 5 minutes. Separated serum was numbered and kept at −80°C until transportation to Germany for further analysis at the National Consulting Laboratory of Toxoplasma. Sera were tested for anti-T. gondii antibodies using ELISA test kits (VIDAS Toxo-IgG-II-ELFA and Toxo-IgM-ELFA for anti-T. gondii-specific IgG and IgM antibodies respectively (bioMérieux GmbH, Nürtingen, Germany). The cut-off values for detection of IgG were as follows: IgG levels <4 IU/mL were negative; IgG levels 4 - <8 IU/mL were borderline and IgG levels ≥8 IU/mL were positive. The cut-off values for detection of IgM were as follows: IgM index value of <0.55 was negative; IgM index value of 0.55 - <0.65 was borderline and IgM index value of ≥0.65 was positive. Demographic data such as age, residence, occupation, marital status, education, and relevant clinical information such as gravidity and trimester were collected using a pre-tested standardized data collection tool.

                  Data management and analysis

                  Data were entered into a computer using Microsoft Office Excel 2007 according to codes given, and analyzed using the STATA version 12 (College Station, Texas, USA). Categorical variables were summarized as proportions and were analyzed using the Pearson’s Chi-square test to observe the differences among the various groups. Continuous variables were summarized as mean ± standard deviation. Univariate analysis and multivariate logistic regression models were fitted to determine factors associated with T. gondii infection. These factors were age, residence, occupation, education level, gravidity, eating of undercooked meat, drinking unsafe water and contact with cats. We used a backward-stepwise selection model to select factors with a p-value of less than 0.2 to be fitted into the multivariate logistic regression analysis. Odds ratios (OR) and their and 95% confidence interval [95% CI] were noted. Factors with the p-value of less than 0.05 on multivariate logistic regression analysis were considered to have a statistically significant association with T. gondii infection.

                  Results

                  A total of 350 pregnant women were enrolled during the study period with the mean age of 25.3 ± 5.4 years with majority of women 174/350 (49.7%) aged between 15–24 years. Most of the women were from a rural residence 186/350 (53.1%), peasants 220/350 (62.9%), married 294/350 (84.0%), multigravid 188/350 (53.7%) and on third trimester 185/350 (52.9%). The majority of women 243/350 (69.4%) had primary education, with 86/350 (24.6%) attaining a higher level of education (Table 1). Of the 350 pregnant women studied, 108 (30.9%) were positive for anti-T. gondii-specific IgG antibodies, indicating past infection (Table 1). None had positive IgM results. The risk of contracting T. gondii infection increases by 7% with each yearly increase in a woman’s age (OR=1.07, 95% CI: 1.02 - 1.11, p=0.002). The sero-prevalence increases by 1.4% with one year increase in age (Figure 1).
                  Table 1

                  Distribution of T. gondii sero-prevalence along with demographic characteristics among pregnant women, Mwanza, 2013

                  Patients characteristic

                  T. gondii seroprevalence (N=350)

                  Total

                  Positive

                  Negative

                   

                  n (%)

                  n (%)

                   

                  Age (Yr)

                     

                    15-24

                  38 (21.8)

                  136 (78.2)

                  174

                    25-34

                  61 (40.1)

                  91 (59.9)

                  152

                    35-44

                  10 (41.7)

                  14 (58.3)

                  24

                  Residence

                     

                    Urban

                  68 (41.5)

                  96 (58.5)

                  164

                    Rural

                  41 (22.0)

                  145 (78.0)

                  186

                  Occupation

                     

                    Business

                  37 (37.8)

                  61 (62.2)

                  98

                    Peasant

                  57 (25.9)

                  163 (74.1)

                  220

                    Employed

                  15 (46.9)

                  17 (53.1)

                  32

                  Education

                     

                    Illiterate

                  7 (33.3)

                  14 (66.7)

                  21

                    Primary

                  66 (27.2)

                  177 (72.8)

                  243

                    Secondary and above

                  36 (41.9)

                  50 (58.1)

                  86

                  Marital status

                     

                    Married

                  89 (30.3)

                  205 (69.7)

                  294

                    Unmarried

                  20 (35.7)

                  36 (64.3)

                  56

                  Gravidity

                     

                    Primigravid

                  33 (29.5)

                  79 (70.5)

                  112

                    Multigravid

                  61 (32.5)

                  127 (67.5)

                  188

                    Grandmultigravid

                  15 (30.0)

                  35 (70.0)

                  50

                  Trimester

                     

                    1st Trimester

                  4 (26.7)

                  11 (73.3)

                  15

                    2nd Trimester

                  50 (33.3)

                  100 (66.7)

                  150

                    3rd Trimester

                  55 (29.7)

                  130 (70.3)

                  185

                  http://static-content.springer.com/image/art%3A10.1186%2F1756-3305-6-222/MediaObjects/13071_2013_Article_1016_Fig1_HTML.jpg
                  Figure 1

                  Age specific Sero-prevalence of Toxoplasma gondii . There is an increase of sero-prevalence of T. gondii infection with an increase in age. The sero-prevalence increases by 1.4% with one year increase in age. The risk (odds ratios) of acquiring T. gondii infection increases by 7% with one year increase in age.

                  The sero-prevalence of T. gondii-specific IgG antibodies was higher in pregnant women residing in urban (41.5%) than those in rural areas (22.0%) [OR=2.2, 95% CI: 1.4 - 3.7, p=0.001] (Table 2). A total of 220/350 (62.9%) of the pregnant women were peasants, of these, 25.9% (57/220) tested positive for T. gondii- specific antibodies. On univariate analysis there was a significant difference in Toxoplasma sero-positivity among individuals with different occupations; employed/business pregnant women had a higher sero-positivity rate of T. gondii- specific antibodies than peasants (40.0% versus 25.9%) (OR=1.9, 95% CI: 1.2 – 3.0, p=0.006). The factor occupation of pregnant women was not subjected into multivariate analysis because it had a co-linearity relation with residence; as most of the peasants were living in rural areas.
                  Table 2

                  Factors associated with T. gondii infection among pregnant women (N=350) in Mwanza

                  Patient’s characteristic

                  Toxoplasma sero-prevalence

                  Univariate

                  Multivariate

                  Positive

                  Negative

                  OR [95% CI]

                  p-value

                  OR [95% CI]

                  p-value

                  n (%)

                  n (%)

                  Age (years)

                        

                    15-24

                  38 (21.8)

                  136 (78.2)

                  1

                   

                  1

                   

                    25-34

                  61 (40.1)

                  91 (59.9)

                  2.4 [1.5-3.9]

                  <0.001

                  2.2 [1.4-3.7]

                  0.001

                    35-44

                  10 (41.7)

                  14 (58.3

                  2.6 [1.1-6.2]

                  0.038

                  2.3 [0.9-5.7]

                  0.070

                  Residence

                        

                    Rural

                  41 (22.0)

                  145 (78.0)

                  1

                   

                  1

                   

                    Urban

                  68 (41.5)

                  96 (58.5)

                  2.5 [1.6-4.0]

                  <0.001

                  2.2 [1.4-3.7]

                  0.001

                  Occupation

                        

                    Peasant

                  57 (25.9)

                  163 (74.1)

                  1

                     

                    Employed/Business

                  52 (40.0)

                  78 (60.0)

                  1.9 [1.2-3.0]

                  0.006

                  -

                  -

                  Education

                        

                    Illiterate

                  7 (33.3)

                  14 (66.7

                  1

                     

                    Primary

                  66 (27.2)

                  177 (72.8)

                  0.7 [0.3-1.9]

                  0.545

                  -

                  -

                    Secondary/above

                  36 (41.9)

                  50 (58.1)

                  1.4 [0.5-3.9]

                  0.476

                  -

                  -

                  Unsafe water

                        

                    Yes

                  62 (28.1)

                  159 (71.9)

                  1

                   

                  1

                   

                    No

                  47 (36.4)

                  82 (63.6)

                  1.5 [0.9-2.3]

                  0.103

                  1.2 [0.7-1.9]

                  0.541

                  Gravidity

                        

                    Primigravid

                  33 (29.5)

                  79 (70.5)

                  1

                     

                    Multigravid

                  61 (32.5)

                  127 (67.5)

                  1.1 [0.7-1.9]

                  0.590

                  -

                  -

                    Grandmultigravid

                  15 (30.0)

                  35 (70.0)

                  1.0 [0.5-2.1]

                  0.945

                  -

                  -

                  Undercooked meat

                        

                    Yes

                  48 (28.4)

                  121 (71.6)

                  1

                     

                    No

                  61 (33.7)

                  120 (66.2)

                  1.3 [0.8-2.0]

                  0.285

                  -

                  -

                  Contacts with Cat

                        

                    No

                  64 (32.6)

                  132 (67.4)

                  1

                     

                    Yes

                  45 (29.2)

                  109 (70.8)

                  0.9 [0.5-1.3]

                  0.491

                  -

                  -

                  Discussion

                  The sero-prevalence of T. gondii infection in this study was lower than that reported in Dar es Salaam, Tanzania two decades ago in which more than 35% of the pregnant women had evidence of T. gondii infections [7, 8]. The difference could partly be explained by the geographical variation; Dar es Salaam is hotter than Mwanza and hotter weather has been found to favour sporulation of oocysts; secondly the difference could be due to the diagnostic methods, a study in Dar es Salaam used an immunosorbent agglutination assay while in the current study a highly specific ELISA method was used. However, the variation of sero-prevalence within a given country is not a new phenomenon; in USA the seroprevalence was found to vary from 17.5% in the west to 20.5% and 29.2% in the south-midwest and north-east, respectively [9]. Also the sero-prevalence in this study was low compared to studies in Brazil [10], Saudi Arabia [11], Morocco [12] and Sudan [13]. This may be accounted for by differences in climatic conditions, as reported before, where higher sero-prevalence is associated with hotter and wetter areas, which is favourable for sporulation of oocysts compared to less humid areas [14, 15].

                  An increase in sero-positivity of anti-T. gondii antibodies was observed with increasing age in this study, which is consistent with other studies [6, 16]. The observed risk increase per year might be considered high and may reflect higher infection risks at early adolescence. In this study, business women and employed pregnant women had higher infection rates with T. gondii than peasants, in contrary to other studies [6, 17]. This may partly be explained by the economic status of the pregnant women in which more employed and business women, who have a high income compared to peasants; also tend to live in towns and can afford to eat poultry and pork which have been found to be a major source for T. gondii transmission [17, 18]. This observation is further supported by the fact that, in this study, as it was observed in China [19]; residents from urban areas were more infected with T. gondii than those from rural areas.

                  Contaminated fruits and eating undercooked meat has been reported as a potential source of T. gondii infection [18, 2022]. Drinking contaminated water is another source of T. gondii infection [23, 24]. A study done in Zaria, Nigeria documented a high sero-prevalence rate among pregnant women who drunk water from the well [25], this was not the case in the recent study done in Mexico [26] and in the present study. Contact with cat litter may pose another risk for T. gondii infection. However, in this study no significant association between T. gondii infection and a history of cat contact was found. The findings are consistent with studies done in Palestine [15], Turkey [21] and Nigeria [25]. Nevertheless, studies from Taiwan [27] and Ethiopia [6] showed a significant association between contact with cats and sero-prevalence of T. gondii. However, the risk of contracting T. gondii infection is not just the mere contact with cats but the way the cats’ litter is handled.

                  Conclusions

                  Sero-prevalence of T. gondii-specific antibodies is high among pregnant women in Mwanza with a significant proportion of women at risk of contracting T. gondii infections. Advanced woman’s age, urban residence and being an employed or a business woman were the independent risk factors associated with the presence of T. gondii infections. Screening of T. gondii infections during antenatal care should be considered in Tanzania as the main strategy to prevent and minimize congenital toxoplasmosis.

                  Declarations

                  Acknowledgements

                  The authors would like to acknowledge the technical support provided by Benard Okamo and the Institute of Medical Microbiology Goettingen. We thank all staff in UMATI, Sekou-Toure and Igombe antenatal clinics for their technical support.

                  Authors’ Affiliations

                  (1)
                  Department of Obstetrics and Gynaecology, Catholic University of Health and Allied Sciences
                  (2)
                  Department of Microbiology/Immunology, Catholic University of Health and Allied Sciences
                  (3)
                  Department of Biochemistry and Molecular Biology, Catholic University of Health and Allied Sciences
                  (4)
                  Department of Parasitology, Catholic University of Health and Allied Sciences
                  (5)
                  Mwanza Research Centre, National Institute of Medical Research Mwanza
                  (6)
                  Institute of Medical Microbiology and German Consulting Laboratory for Toxoplasma, Göttingen University Medical Center

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                  © Mwambe et al.; licensee BioMed Central Ltd. 2013

                  This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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