Document Type : Systematic Review
Authors
1 Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran;Women’s Reproductive Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
2 HIV/STI Surveillance Research Center, WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
3 4Dezful University of Medical Sciences, Dezful, Iran
4 5Department of Pediatrics, Behbahan Faculty of Medical Sciences, Behbahan, Iran
5 Women’s Reproductive Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
Abstract
Keywords
Introduction
Rubella virus is an important pathogen worldwide and a member of the genus Rubivirus in the Togaviridae family. This human virus is transmitted through aerosols and usually causes benign infections in children and young adults (1, 2). Rubella virus in adults may also cause severe inflammation and joint pain (3). Moreover, this infection may cause premature birth, low birth weight (4), miscarriage, stillbirth (5) and congenital rubella syndrome (CRS) during the first trimester of pregnancy (4-6). This syndrome is characterized by fetal abnormalities, including mental retardation, blindness, deafness (7), heart defects, cataracts (6), hepatomegaly and jaundice (8). Rubella infection is dangerous during pregnancy, especially during the first trimester. The rate of congenital malformations in newborns is 50, 25 and 17% for the first, second and third months, respectively (9-11).
Currently, there is no antiviral treatment for rubella (2), but an efficient vaccine is available against rubella (2, 3). The World Health Organization (WHO) recommends a comprehensive strategy for rubella and CRS control and eventual elimination in conjunction with rubella elimination, using measles/rubella or measles/mumps/rubella vaccines (12).
According to studies conducted in different regions of the world, the immunity against rubella has been reported to be diverse from 66-100% (13-16). Many studies have been conducted in Iran and these studies have reported the rubella immunity rate of 75-96% in pregnant women (17-20). Given the importance of this subject, the need for a comprehensive study is necessary. The analysis includes study of rubella immunity in pregnant Iranian women before and after introduction of the vaccine and assessing influence factors on sero-status
A more clear picture of the problem dimensions in the community can be provided through systematic review of all documentation and combining them with meta-analysis (21-23). This study was conducted to assess rubella immunity in pregnant Iranian women.
Materials and Methods Study protocol
To identify relevant studies, a systematic review was performed on cross-sectional and case-control studies related to rubella immunity in pregnant women. The review was carried out in accordance with Meta-analysis of observational studies in epidemiology (MOOSE) protocol and results were reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline (23). To avoid bias in the study, search, selection of studies, quality assessment and data extraction were independently performed by two researchers. In case of discrepancies in the result of the two researchers, the study was referred to the third researcher.
Search strategy
To evaluate related English and Persian literatures, a comprehensive search was conducted in six national databases including: Iranian Research Institute for Information Science and Technology (IranDoc; https://irandoc. ac.ir), Scientific Information Database (SID; http://www. sid.ir/), Barakat Knowledge Network System (http:// health.barakatkns.com), Iranian National Library (http:// www.nlai.ir/) and Regional Information Center for Science and Technology (RICST; http://en.ricest.ac.ir/), Magiran (http://www.magiran.com/) and six international databases including: Scopus, PubMed/Medline, Science Direct, Embase, Cochrane Library, Web of Science (ISI) and Google Scholar search engine. The search was done without time limit until April 1, 2018. High-sensitivity search was independently carried out by two researchers who were familiar with searching in databases (Azami M. and Jaafari Z.). Medical Subject Headings (MeSH) keywords were ‘Pregnant’, ‘Gestational’, ‘Pregnancy’, ‘Rubella infection’, ‘Prevalence, ‘Epidemiology’, ‘Immunity’, ‘Immunization’, ‘Antibody’, ‘Prenatal care’, ‘Immunogenicity’ and ‘Iran’. The combined search was performed using Boolean operators (AND and OR). Combined search in PubMed database is shown as follows: (“Pregnant”[Title/ Abstract] OR “Pregnancy”[Title/Abstract] OR“Prenatal care” [Title/Abstract] OR “Gestational”[Title/Abstract]) AND (“Rubella”[Title/Abstract] OR “Immunity”[Title/ Abstract] OR “Immunogenicity”[Title/Abstract] OR “Immunization”[Title/Abstract] OR “Antibody”[Title/ Abstract] OR “Prevalence”[Title/Abstract] OR “Epidemiology”[Title/Abstract]) AND (“Iran”[Title/Abstract/ Affiliation]).
After the end of search, the title of collected articles was entered into EndNote™ resource management to find similar articles. Manual search was also carried out by reviewing the reference list of relevant articles.
Inclusion and exclusion criteria
The inclusion criteria according to PICO (Evidence Based Medicine) (24) were: i. Population: pregnant Iranian women, ii. Intervention: serological tests such as enzyme-linked immunosorbent assay (ELISA) or haemagglutination-inhibitory (HAI) methods to confirm immunity against rubella, iii. Comparison: it can show the immunity seroprevalence in terms of age, occupation and place of residence, and iv. Outcome: estimating the overall seroprevalence of rubella immunity in pregnant women and other risk factors.
Exclusion criteria were: i. Non-random sample for seroprevalence of rubella immunity, ii. Non-pregnant women, iii. Non-Iranian sample, iv. Low-quality studies, v. Duplicate studies, and vi. Review articles, case reports and letters to the editor.
Methodological quality assessment
The researchers evaluated quality of the selected studies using a scoring system, according to the modified Newcastle Ottawa Scale (NOS) for cross-sectional studies (25). The attainable minimum score was five and the articles that received a minimum score underwent quality assessment and Metadata extraction processes.
Data extraction
Data extraction form included the author’s name, age (mean ± SD), place of residence, sample size, study design, rubella immunity, before/after national vaccination program, diagnostic method, quality score and the number of event and total in case and control groups or odds ratio (OR) and 95% confidence interval (CI) for risk factors. The extracted data was compared by two researchers and shared with the third researcher in case of discrepancies and finally a consensus was reached to re-examine and compare the results. Specific questions or relevant ambiguities in the articles were asked from the author via email.
Statistical analysis
The binomial distribution was used to estimate the standard error of rubella immunity in each study. OR index was calculated to evaluate the effect of age, occupation and place of residence on rubella immunity. Cochran’s Q test and I2 index were used to investigate heterogeneity in the studies. Interpretation in this regard was as follows: 0-24% indicates low heterogeneity, 25-49% indicates moderate heterogeneity, 50-75% indicates substantial heterogeneity and over 75% indicates high heterogeneity. To estimate the seroprevalence of rubella immunity and to measure the effect of age on rubella immunity rate due to high heterogeneity between studies, random-effects model was used. To measure the effect of occupation and place of residence on rubella immunity rate, due to low heterogeneity, the fixed effects model was used to combine data (26). We also conducted sensitivity analysis by removing one study at the same time to assess the stability of the meta-analysis results. Sub-group analysis and meta-regression of the rubella immunity were used to find the potential sources of heterogeneity. Sub-group analysis were divided based on five regions of Iran, national rubella vaccination program, diagnostic methods and quality of studies. Funnel plot and Egger and Begg’s tests were used to examine the publication bias. Finally, data were analyzed using Comprehensive Meta-Analysis software Ver.2 (Biostat, Inc. Company, U.S. and U.K.). The significance level was set at 0.05.
Results Searching results and characteristics
In this systematic review, 280 articles were found by two researchers, among of which 264 articles were excluded because of the following reasons: duplicates (n=140), irrelevance (n=68), non-observational epidemiological studies (n=12), non-random sample (n=14), the sample size other than pregnant Iranian women (n=18); lack of assessing rubella immunity (n=9), and non-original studies (n=4, Fig.1). Finally, 15 studies comprising 7,601 pregnant woman with a mean age of 26.47 years [95% CI: 23.18-29.76] were entered into the meta-analysis process. The characteristics of each study are shown in Table 1.
Study flow diagram.
Summary of characteristics entered into the meta-analysis
First author, Published year | Year of study | Design | Place | Sample size | Age (mean ± SD) | Method | Immunity (%) | Quality | Ref. |
---|---|---|---|---|---|---|---|---|---|
Akbarian et al., 2007 | 2004 | Cross-sectional | Tehran | 810 | 21.9 ± 2.4 | ELISA | 85.5 | High | (17) |
Ghafourian Boroujerdnia et al., 2003 | 2000 | Cross-sectional | Ahvaz | 250 | NR | HAI | 92 | High | (18) |
Doraji et al., 2009 | 2009 | Cross-sectional | Tehran | 120 | NR | ELISA | 91.6 | Medium | (19) |
Pakzad and Moattari,1987 | 1986 | Cross-sectional | Ahvaz | 100 | NR | HAI | 90 | Medium | (20) |
Mokhtari et al., 2010 | 2007 | Cross-sectional | Mashhad | 73 | 26.7 ± 6.5 | ELISA | 90.4 | High | (27) |
Amini et al., 1996 | 2009 | Cross-sectional | Tehran | 210 | NR | ELISA | 94.3 | Medium | (28) |
Ashraf Ganjoei and Mohammadi, 2001 | 1997 | Cross-sectional | Kerman | 410 | 26.58 ± 5.5 | ELISA | 94.6 | High | (29) |
Pakzad and Ghafourian, 1995 | 2004 | Cross-sectional | Dezfull | 500 | NR | HAI | 74.8 | Medium | (30) |
Modarres, 2000 | 1996 | Cross-sectional | Tehran | 3008 | NR | HAI | 94 | Medium | (31) |
Bagheri Josheghani et al., 2015 | 1993 | Cross-sectional | Kashan | 80 | 30 ± 5.2 | ELISA | 92.5 | High | (32) |
Honarvar et al., 2013 | 2010 | Cross-sectional | Shiraz | 175 | 27.3 ± 5.3 | ELISA | 96 | High | (33) |
Ghafourian Boroujerdnia, 2001 | 2011 | Cross-sectional | Ahvaz | 300 | NR | ELISA | 78 | High | (34) |
Majlessi et al., 2008 | 1990 | Cross-sectional | Tehran | 965 | NR | ELISA | 91.1 | High | (35) |
Eslamian, 2000 | 2004 | Cross-sectional | Tehran | 500 | NR | HAI | 76 | Medium | (36) |
Ghaderi and Ghaderi, 2016 | 1995 | Cross-sectional | Birjand | 100 | NR | ELISA | 94 | Medium | (37) |
HAI; Haemagglutination-inhibition, ELISA; Enzyme-linked immunosorbent assay, NR: Not reported. and SD; Standard deviation.
Pooled rubella immunity
The heterogeneity in this study was estimated to be high (P
Results of the subgroup analysis
Quantity of studies in the South, East and Central regions of Iran were 2, 9 and 4 studies, respectively. Rubella immunity rate for these regions was 93.3% (95% CI: 88.7-96.2), 87.8% (95% CI: 79.0-93.1) and 90.1% (95% CI: 85.4-93.4), respectively. This difference was not significant (P=0.286, Table 2). Sub- group analysis of rubella immunity rate based on quality of the studies was not significant (P=0.751, Table 2).
Rubella immunity rate, based on the ELISA method, was 91.4% (95% CI: 87.8-94.0) and based on the HIA method was 87.2% (95% CI: 74.3-94.1). Sub-group difference was not significant (P=0.355, Table 2). Sub-group analysis of rubella immunity rate based on national vaccination program is shown in Table 2. The difference was not significant (P=0.398).
Forest plot for rubella immunity in pregnant Iranian women. A. Pooled estimate and B. sensitivity analysis.
Rubella immunity in pregnant Iranian women subgrouped using regions, quality of studies, diagnostic method and national vaccination program by random effects model
Variable | Study (n) | Sample size (n) | Heterogeneity | 95% CI | Pooled estimate (%) | ||||
---|---|---|---|---|---|---|---|---|---|
Q | df | P value | I2 (%) | ||||||
Regions | Center | 4 | 5793 | 188.24 | 8 | <0.001 | 95.75 | 85.4-93.4 | 90.1 |
South | 2 | 483 | 1.87 | 1 | 0.171 | 46.65 | 88.7-96.2 | 93.3 | |
East | 9 | 1325 | 57.04 | 4 | <0.001 | 92.98 | 79.0-93.1 | 87.8 | |
Test for subgroup differences: Q=2.50, df(Q)=2, P=0.286 | |||||||||
Quality of the studies | High | 8 | 3063 | 71.50 | 7 | <0.001 | 90.21 | 86.5-93.6 | 90.7 |
Medium | 7 | 4538 | 251.62 | 6 | <0.001 | 97.24 | 80.3-94.6 | 89.4 | |
Test for subgroup differences: Q=0.27, df(Q)=1, P=0.751 | |||||||||
Diagnostic method | ELISA | 10 | 3243 | 88.14 | 9 | <0.001 | 88.14 | 87.8-94.0 | 91.4 |
HIA | 5 | 4358 | 241.90 | 4 | <0.001 | 98.34 | 74.3-94.1 | 87.2 | |
Test for subgroup differences: Q=0.85, df(Q)=1, P=0.355 | |||||||||
National vaccination program | Before | 8 | 5278 | 291.49 | 7 | <0.001 | 97.6 | 80.6-93.6 | 88.6 |
After | 7 | 2323 | 26.67 | 6 | <0.001 | 79.34 | 88.1-93.9 | 91.5 | |
Test for subgroup differences: Q=0.71, df(Q)=1, P=0.398 | |||||||||
Association of rubella immunity rate with age, occupation or accommodation place
The rubella immunity among pregnant women was significantly associated with age (.25 versus >25 years old) [OR=10.31 (95% CI: 5.24-20.27, P<0.001)], but it was not significantly associated with occupation (employed versus housekeeper) [OR=1.06 (95% CI: 0.81-1.38, P=0.639)] and place of residence (urban versus rural) [OR=0.97 (95% CI: 0.80-1.18, P=0.801)] (Fig.3).
Meta-regression
Meta-regression of rubella immunity rate for the year of study was not statistically significant (P=0.164, Fig.4A).
The association between rubella immunity rate and variables. A. Age, B. Occupation, and C. Place of residence.
Meta-regression and publication bias. A. Meta-regression model of rubella immunity based on the year of the study, B. Publication bias for rubella immunity rate, and C. Relation between immunity and age.
Publication bias
In the evaluation of publication bias for rubella immunity rate, a funnel plot was drawn and P values based on Egger and Begg’s tests were estimated to be 0.45 and 0.75, respectively. In addition, rubella immunity rate were respectively 0.79 and 0.73 for association between rubella immunity rate and age, while they were not statistically significant (Fig.4B, C).
Discussion
The results showed that rubella immunity rate among pregnant Iranian women was 90.1% and rubella immunity was not significantly associated with geographic regions, quality of the studies, diagnostic methods, vaccination program, occupation, place of residence, and year of the studies, occupation, place of residence, and year of the studies, but it was significantly associated with age.
CRS is declining in the world due to increased rubella vaccine coverage (38, 39). However, it remains a threat and a costly disease in some areas, where pregnant women were not immunized and protected against rubella virus. According to WHO, the primary objective of vaccination against rubella is the prevention of CRS. For this reason, immunization with rubella-containing vaccine is recommended for adult girls, women of childbearing age, or both (40).
In Iran, as a member of WHO, prevention and control of measles and rubella (MR) is an important priority (40). Several studies, conducted in various provinces of Iran, revealed that the immunity rate against rubella in women of reproductive age (15-45 years) is 69.9-97% (41, 42), and according to the present study, the immunity rate against rubella in pregnant Iranian women was found to be 86.1- 93.1%.
Rubella immunity rate among the pregnant women has been reported in European (74-98%), African (53-95%) and Asian (54-96%) countries (43-53). The probable cause of these different reports may be due to the universal coverage of vaccination against rubella and different diagnostic methods. However, in this study, this difference was not statistically significant.
In the past, MR were endemic in Iran and most of the people were infected until puberty. Therefore, most women acquired immunity against measles, rubella and mumps in their reproductive age. In 2002, the Ministry of Health and Medical Education in Iran established a comprehensive strategy for the elimination of MR. This strategy was launched with the aim of vaccinating 33,579,082 people, aged 5-25 years old, and 98% of the target population were vaccinated. This successful measure led to a decline in the incidence of MR to less than one case per million (41).
In this study, the rubella immunity rate in pregnant women before and after national vaccination program was estimated to be 88.6 and 90.4%, respectively. This difference was not statistically significant. It can be said that the high prevalence of IgG antibody seroprevalence during the years before implementation of vaccination programs is due to the high incidence of rubella and immunity through contact with the virus. In other countries such as Mexico, vaccination coverage was carried out from 1998 and this has been increased in Mexican pregnant women (14, 54).
In the present study, immunity rate against rubella was estimated 91.4% and 87.2%, using respectively ELISA and HAI methods. The specificity and sensitivity of the ELISA method for determining antibody against rubella was reported 61.7% and 95%, respectively (55). Shekarchi et al. (56) also mentioned that ELISA method is as accurate as HAI method and it would reliable, if purified antigens and carefully prepared reagents were used.
In this study, rubella immunity rate was higher in younger pregnant women. In a study performed by Alvarado- Esquivela in Mexico (14), age and socioeconomic level were significant and the other risk factors, such as residence, education level and occupation were not significant. In the study conducted by Hamdan et al. (48) in Sudan, the examined risk factors such as age, education level, gestational age, history of jaundice and body mass index were not significant. In another study in United States, international travel was demonstrated as a risk factor (55). Thus, it can be stated that each region has its own set of risk factors.
Limitations of the present study, including: i. The Iranian databases could not be used for advance search and ii. Many risk factors such as the year of birth and etc., were neglected.
Conclusion
This meta-analysis provides information about rubella immunity in pregnant women. Although this study showed that the level of immunity in pregnant Iranian women is acceptable, it is recommended to perform anti-rubella antibody screening for all women of childbearing age.