| Literature DB >> 23198117 |
Prasad Palani Velu1, Courtney A Gravett, Tom K Roberts, Thor A Wagner, Jian Shayne F Zhang, Craig E Rubens, Michael G Gravett, Harry Campbell, Igor Rudan.
Abstract
BACKGROUND: Maternal morbidity and mortality in low- and middle-income countries has remained exceedingly high. However, information on bacterial and viral maternal infections, which are important contributors to poor pregnancy outcomes, is sparse and poorly characterised. This review aims to describe the epidemiology and aetiology of bacterial and viral maternal infections in low- and middle-income countries.Entities:
Year: 2011 PMID: 23198117 PMCID: PMC3484781
Source DB: PubMed Journal: J Glob Health ISSN: 2047-2978 Impact factor: 4.413
Search terms used to identify published articles on the prevalence and etiology of maternal infections in the developing world
| exp Infection/ |
| AND |
| exp Pregnancy/ OR exp Pregnancy Complications, Infectious/ |
| AND |
| exp Developing Countries OR africa/ or africa, northern/ or algeria/ or egypt/ or libya/ or morocco/ or tunisia/ or “africa south of the sahara”/ or africa, central/ or cameroon/ or central african republic/ or chad/ or congo/ or “democratic republic of the congo”/ or gabon/ or africa, eastern/ or burundi/ or djibouti/ or eritrea/ or ethiopia/ or kenya/ or rwanda/ or somalia/ or sudan/ or tanzania/ or uganda/ or africa, southern/ or angola/ or botswana/ or lesotho/ or malawi/ or mozambique/ or namibia/ or south africa/ or swaziland/ or zambia/ or zimbabwe/ or africa, western/ or benin/ or burkina faso/ or cape verde/ or cote d'ivoire/ or gambia/ or ghana/ or guinea/ or guinea-bissau/ or liberia/ or mali/ or mauritania/ or niger/ or nigeria/ or senegal/ or sierra leone/ or togo/ or caribbean region/ or west indies/ or “antigua and barbuda”/ or cuba/ or dominica/ or dominican republic/ or grenada/ or guadeloupe/ or haiti/ or jamaica/ or martinique/ or “saint kitts and nevis”/ or saint lucia/ or “saint vincent and the grenadines”/ or central america/ or belize/ or costa rica/ or el salvador/ or guatemala/ or honduras/ or nicaragua/ or panama/ or latin america/ or mexico/ or south america/ or argentina/ or bolivia/ or brazil/ or chile/ or colombia/ or ecuador/ or french guiana/ or guyana/ or paraguay/ or peru/ or suriname/ or uruguay/ or venezuela/ or asia/ or asia, central/ or kazakhstan/ or kyrgyzstan/ or tajikistan/ or turkmenistan/ or uzbekistan/ or asia, southeastern/ or borneo/ or brunei/ or cambodia/ or east timor/ or indonesia/ or laos/ or malaysia/ or mekong valley/ or myanmar/ or philippines/ or thailand/ or vietnam/ or asia, western/ or bangladesh/ or bhutan/ or india/ or sikkim/ or middle east/ or afghanistan/ or iran/ or iraq/ or jordan/ or lebanon/ or syria/ or turkey/ or yemen/ or nepal/ or pakistan/ or sri lanka/ or far east/ or china/ or tibet/ or “democratic people's republic of korea”/ or mongolia/ or taiwan/ or atlantic islands/ or azores/ or albania/ or lithuania/ or bosnia-herzegovina/ or bulgaria/ or byelarus/ or “macedonia (republic)”/ or moldova/ or montenegro/ or romania/ or russia/ or bashkiria/ or dagestan/ or moscow/ or siberia/ or serbia/ or ukraine/ or yugoslavia/ or armenia/ or azerbaijan/ or “georgia (republic)”/ or indian ocean islands/ or comoros/ or madagascar/ or mauritius/ or reunion/ or seychelles/ or fiji/ or papua new guinea/ or vanuatu/ or guam/ or palau/ or “independent state of samoa”/ or tonga/ |
Figure 1Summary of the literature search.
Figure 2Geographical distribution of studies (n=72) reporting the prevalence of maternal syphilis; “no data” in the legend refers to low and middle-income countries only, as data from high-income countries were not the subject of this study.
Figure 3Distribution according to size of population studied in 72 studies reporting maternal syphilis prevalence.
Figure 4Techniques used to diagnose maternal syphilis in the 72 studies identified. (TRUST – Toluidine red unheated serum test; TPPA – Treponema pallidum particle agglutination test; TPHA – Treponema pallidum haemagglutination test; FTA-ABS – Fluorescent treponemal antibody absorption; VDRL – Venereal Disease Research Laboratory test; RPR – Rapid Plasma Reagent; ICS – immunochromatographic strip).
Figure 5Box plot of syphilis prevalence reported by the 72 relevant studies. All studies measured prevalence by detecting the presence of antibodies towards Treponema pallidum. The following number summaries are depicted in the boxplot: the smallest observation (sample minimum), lower quartile (25%), median (50%), upper quartile (75%), and largest observation (sample maximum). Asterisks indicate outliers.
Figure 6Geographical distribution of studies (n=21) reporting prevalence of maternal gonococcal infection; “no data” in the legend refers to low- and middle-income countries only, as data from high-income countries were not the subject of this study.
Figure 7Techniques used to identify gonococcal infection in the 21 studies identified (LCR – ligase chain reaction).
Figure 8Size of study populations in 21 studies identified reporting maternal gonococcal infection prevalence.
Figure 9Prevalence of N. gonorrhoeae detected in relevant studies (n=21). All studies measured prevalence by detecting the infecting organism in pregnant women. The following number summaries are depicted in the boxplot: the smallest observation (sample minimum), lower quartile (25%), median (50%), upper quartile (75%), and largest observation (sample maximum).
Characteristics and results of studies (n=19) reporting prevalence of maternal Chlamydia trachomatis infection
| Article | Location, setting of study | Type, duration of study | Population | Results / Prevalence | Technique used |
|---|---|---|---|---|---|
| Msuya | Tanzania, 2 primary health clinics | Cross-sectional study, 21 months | 2654 pregnant women | 17.5% | ELISA detecting anti-chlamydial IgG |
| Jalil | Brazil, prenatal services in 6 cities | Cross-sectional study, 1 year | 3003 pregnant women | CT prevalence of 9.4% | Hybrid capture technique |
| Kinoshita-Moleka | Democratic Republic of Congo, 2 maternity clinics | Cross-sectional study, 4 months | 529 pregnant women | 1.7% | PCR |
| Lujan et al 2008 (89) | Mozambique, antenatal clinic | Cross-sectional study, 5 months | 835 first void urine samples from pregnant women | 4.1% | PCR |
| Romoren | Botswana, antenatal clinic | Cross-sectional study, singular time point | 703 pregnant antenatal care attendees | 8% prevalence | LCR |
| Chen | China, antenatal clinic | Cross-sectional study, 3 months | 504 pregnant women | 10.1% | PCR |
| Thammalangsy | Laos, 2 hospitals | Cross-sectional study, 7 months | 500 antenatal attendees | 10.2% by nucleic acid hybridisation and 9.6% by PCR | Nucleic acid hybridisation, PCR |
| Amindavaa | Mongolia, prenatal clinics | Cross-sectional survey, 11 months | 2000 pregnant women | 19.3% | PCR |
| Apea-Kubi | Ghana, gynaecology clinics at teaching hospital | Cross-sectional study, singular time point | 517 pregnant women | 3% prevalence | RNA detection kit |
| Sullivan | Vanuatu, antenatal clinic | Cross-sectional study, 12 months | 547 pregnant women | 21.5% | PCR |
| Gray | Uganda, community based | Randomised control trial, duration not specified | 1576 pregnant women in the control arm of the study | 2.7% | LCR |
| Mayank | India, community based | Cross-sectional study, duration not specified | 600 pregnant women | 4.3% | ELISA |
| Latif | Zimbabwe, Antenatal and primary care clinics | Cross-sectional study | 1189 asymptomatic pregnant women | 5.8% (and/or Gonococcal infection) | Not specified |
| Mulanga-Kabeya | Mali, community based | Cross-sectional study, 1 months | 549 pregnant women | 5.0% | EIA |
| Bourgeois | Gabon, 3 antenatal clinics | Cross-sectional study, 5 months | 646 pregnant women | 9.9% | EIA |
| Kilmarx | Thailand, antenatal clinics | Cross-sectional study, singular time point | 500 pregnant mothers in Chiang Rai, 521 pregnant mothers in Bangkok | 5.70% prevalence | PCR |
| Diallo | Ivory Coast, antenatal clinic | Cross-sectional study, 4 months | 546 pregnant women | 5.5% | Culture, EIA |
| Meda | Burkina Faso, 2 antenatal clinics | Cross-sectional study, duration not specified | 645 pregnant women | 3.1% | EIA |
| Joesoef | Indonesia, prenatal clinic | Cross-sectional study, 15 months | 599 pregnant women | 8.2% | Direct immuno-fluorescence |
EIA – enzyme immunoassay, ELISA – enzyme-linked immunosorbent assay, LCR – ligase chain reaction, PCR – polymerase chain reaction
Characteristics and results of studies (n=12) reporting prevalence of maternal Group B Streptococcus (GBS) colonisation
| Article | Location, setting of study | Type, duration of study | Population | Results / Prevalence | Technique used |
|---|---|---|---|---|---|
| Seoud | Lebanon, 3 hospitals | Cross-sectional study, 8 months | 775 pregnant mothers | 17.7% positive for GBS colonisation | Not specified |
| Mavenyengwa | Zimbabwe, 3 communities | Cohort study, duration not specified | 780 women (one or more samples collected) | 60.3% positive for GBS colonisation | Culture |
| Mansouri | Iran, 3 major non-private hospitals | Cross-sectional study, 11 months | 602 pregnant women at childbirth | 9.1% were colonised by GBS | Culture |
| Namavar | Iran, hospital | Cross-sectional study, 6 months | 1197 pregnant women at labour | 9.1% had rectovaginal colonisation with GBS | Culture |
| Zusman | Brazil, 2 hospitals | Prospective study, 5 months | 598 pregnant women | 17.9% maternal colonisation rate | Culture |
| Goto | Vietnam, community based | Survey, duration not specified | 505 pregnant women | 4% | Culture |
| Larcher | Argentina, hospital | Prospective study, 18 months | 1228 pregnant women | 1.4% maternal colonisation rate | Culture |
| Sidky & Thomas, 2002 (139) | UAE, hospital | Cross-sectional study, 2 months | 891 pregnant women at delivery | 21.5% maternal colonisation rate | Culture |
| Toresani | Argentina, hospital | Cross-sectional study, 25 months | 531 pregnant women | 3.2% were positive for GBS | Culture |
| Werawatakul | Thailand, hospital | Cross-sectional study, 5 m months o | 902 pregnant women presenting at labour | 6.2% maternal colonisation rate | Culture |
| Ocampo-Torres | Mexico, 3 public hospitals | Cross-sectional study, 8 months | 910 pregnant women at delivery | 8.6% GBS colonisation rate | Culture, Latex agglutination |
| Olanisebe & Adetosoye, 1986 (113) | Nigeria, 4 government hospitals | Cross-sectional study, duration not specified | 500 pregnant women (2nd and 3rd trimester) | 1.6% positive for GBS | Culture |
UAE – United Arab Emirates
Characteristics and results of studies (n=11) reporting prevalence of bacterial vaginosis in pregnant women
| Article | Location, setting of study | Type, duration of study | Population | Results / Prevalence | Technique used |
|---|---|---|---|---|---|
| Kurewa | Zimbabwe, peri-urban clinics | Cross-sectional study, 19 months | 691 pregnant women | 32.6% | Amsel's criteria |
| Msuya | Tanzania, 2 primary health clinics | Cross-sectional study, 21 months | 2654 pregnant women | 20.9% | Amsel's criteria |
| Kirakoya-Samadoulougou | Burkina Faso,
4 primary health centres | Cross-sectional study, 3 months | 2133 pregnant women with analysable data | 6.4% | Nugent scoring method |
| Romoren | Botswana, multiple antenatal clinics | Cross-sectional study, 5 months | 703 pregnant women | 38.0% | Microscopy |
| Azargoon & Darvishzadeh, 2006 (16) | Iran, hospital | Cohort study, duration not specified | 1223 pregnant women | 16.0% | Vaginal pH, saline wet mount, Amsel tests |
| Thammalangsy | Laos, 2 hospitals | Cross-sectional study, 7 months | 500 pregnant antenatal attendees | 14.4% by Amsel's criteria and 22.0% by Nugent's score | Amsel’s criteria, Nugent’s score |
| Goto | Vietnam, community based | Survey, duration not specified | 505 pregnant women in 10 communes | 7% | Nugent criteria |
| Gray | Uganda, community based | Randomised control trial, duration not specified | 1576 pregnant women in the control arm of the study | 48.5% | Microscopy |
| Mayank | India, community based | Cross-sectional study, duration not specified | 600 pregnant women | 18% | Microscopy |
| Taha | Malawi, hospital | Cross-sectional study, 25 months | 9126 pregnant women | 30% | Vaginal wet mounts |
| Meda | Burkina Faso, 2 antenatal clinics | Cross-sectional study, duration not specified | 645 pregnant women | 13% | Microscopy |
Figure 10Geographical distribution of studies (n=39) providing information on prevalence of maternal hepatitis B virus (HBV) infection; “no data” in the legend refers to low and middle-income countries only, as data from high-income countries were not the subject of this study.
Figure 11Techniques used to identify hepatitis B virus (HBV) infection in 39 studies.
Figure 12Sizes of study populations in 39 studies reporting maternal hepatitis B (HBV) infection prevalence.
Figure 13Box plot showing prevalence of hepatitis B virus (HBV) infection detected in relevant studies (n=37). Only 30 of 37 relevant studies measured prevalence by detecting Hepatitis B surface antigen (HBsAg) in pregnant women. The following number summaries are depicted in the boxplot: the smallest observation (sample minimum), lower quartile (25%), median (50%), upper quartile (75%), and largest observation (sample maximum). Asterisk indicates an outlier.
Figure 14Geographical distribution of studies (n=21) providing reporting prevalence of maternal hepatitis C (HCV) infection; “no data” in the legend refers to low and middle-income countries only, as data from high-income countries were not the subject of this study.
Figure 15Techniques used to diagnose maternal hepatitis C (HCV) infection (n=21 studies); HCV RNA refers to tests detecting HCV RNA, including PCR and RT-PCR.
Figure 16Size of study populations of 21 studies reporting maternal hepatitis C (HCV) infection prevalence.
Figure 17Box plot showing prevalence of hepatitis C virus (HCV) exposure detected in relevant studies (n=21). All studies diagnosed the history of HCV infection by detecting anti-HCV antibodies in serum. The following number summaries are depicted in the boxplot: the smallest observation (sample minimum), lower quartile (25%), median (50%), upper quartile (75%), and largest observation (sample maximum). Asterisk indicates an outlier.
Characteristics and results of studies (n=15) reporting prevalence of maternal Rubella infection
| Article | Location, setting of study | Type, duration of study | Population | Results / Prevalence | Technique used |
|---|---|---|---|---|---|
| Lin | Taiwan, hospital | Cross-sectional study, 7 years | 10 089 pregnant women | Seronegativity was 14.0% | Microparticle EIA |
| Tamer | Turkey, antenatal clinic | Cross-sectional study, duration not specified | 1972 serum samples from pregnant women | Seropositivity for anti-rubella IgG, IgM and IgG+IgM together was 96.1%, 0.2% and 1.8%, respectively | Commercial ELISA (detecting IgG and IgM) |
| Ai & Ee, 2008 (8) | Malaysia, antenatal clinics and hospital | Cross-sectional study, duration not specified | 500 pregnant mothers | 11.4% were susceptible to Rubella | Rubella IgG studies |
| Majlessi | Iran, health centres | Cross-sectional study, 2 years | 965 pregnant women | Estimated rubella immunity rate was 91.1%, Nonimmunity rate was 8.9% | ELISA |
| Das | India, hospital | Screening, duration not specified | 1115 pregnant women with bad obstetric history, 500 normal pregnant women | 3.6% seropositivity (*BOH), 0% seropositivity (normal) | ELISA (Detecting IgM) |
| Ocak | Turkey, antenatal clinic | Retrospective observational, 23 months | 1652 pregnant women | Anti-rubella IgG and IgM antibodies were reactive in 95.0%, and in 0.54% | ELISA (detecting IgG and IgM) |
| Pehlivan | Turkey, community based | Cross-sectional study, 7 mo months | 824 women from 60 clusters; 803 eligible for serological study | 93.8% positive for anti-rubella IgG, 0.6% were IgM and IgG positive, 5.6% were susceptible | Micro ELISA (detecting IgG and IgM) |
| Tseng | Taiwan, hospital | Retrospective observational, 4 years | 5007 pregnant women | 13.4% susceptible among Taiwanese women; 29.1% susceptible among non-Taiwanese women | Microparticle EIA |
| Barreto | Mozambique, antenatal clinics | Cross-sectional serosurvey, 3 months | 974 pregnant women at antenatal clinic attendance | 95.3% positive for Rubella IgG | ELISA |
| Corcoran & Hardie, 2006 (31) | South Africa, antenatal clinics | Cross-sectional study, duration not specified | 1200 serum samples from a 2003 HIV/syphilis survey | 96.5% immune | ELISA |
| Desinor | Haiti, hospital | Cross-sectional study, 4 months | 503 pregnant women; 8 excluded leaving 495 | 95.2% were seropositive | EIA |
| Weerasekera | Sri Lanka, antenatal clinic | Cross-sectional study, 2 years | 500 maternal blood samples, before 16th week of gestation | 82% were positive for rubella specific IgG, 75% gave a history of vaccination against rubella before their present pregnancy | ELISA (detecting IgG and IgM) |
| Palihawadana | Sri Lanka, multiple antenatal clinics | Cross-sectional study, duration not specified | 620 pregnant women | 76% of pregnant females were seropositive | ELISA (detecting IgG) |
| Ashrafunnessa Khatun, | Bangladesh, hospital | Cross-sectional study, 11 months | 609 pregnant women | 85.9% were seropositive and 14.1% were seronegative | ELISA |
| Dos Santos | Brazil, prenatal testing | Cross-sectional study, 8 months | 1024 pregnant women | 77.4% | Haemagglutinin Inhibition Assay |
EIA – enzyme immunoassay, ELISA – enzyme-linked immunosorbent assay
Characteristics and results of studies (n=5) reporting prevalence of maternal cytomegalovirus (CMV) infection
| Article | Location, setting of study | Type, duration of study | Population | Results / Prevalence | Technique used |
|---|---|---|---|---|---|
| Tabatabaee | Iran, hospital | Cross-sectional study, 7 months | 1472 pregnant women presenting at labour | 97.69% seropositivity, 2.31% seronegativity; prevalence of active infection – 4.35% | Not specified |
| Das | India, hospital | Cross-sectional study | 1115 pregnant women with Bad obstetric history, 500 normal pregnant women | 11% prevalence in women with Bad obstetric history, 4% prevalence in normal pregnant women | Commercial ELISA kit detecting anti-CMV IgM |
| Ocak | Turkey, hospital | Retrospective observational study, 2 years | 1652 pregnant women | 94.9%seropositivity for anti-CMV IgG, 0.4%positive for anti-CMV IgM | ELISA detecting anti-CMV IgG and IgM |
| Suarez | Chile, public outpatient department and a special clinic for university students | Cross-sectional study, 3 years | 939 pregnant women of a low socioeconomic level, and 123 pregnant university students | 95% in low socioeconomic class; 69.9% in pregnant students; 2 primary infections occurred (1 in each group) | ELISA; initially seronegative women were tested again during 2nd and 3rd trimester to identify primary infections |
| Tamer | Turkey, antenatal clinics | Cross-sectional study, singular time point | 1972 samples of sera from pregnant women | Seroprevalence of anti-CMV IgG, IgM and IgG+IgM together were found in 96.4%, 0.7% and 1.9% of the pregnant women, respectively | Commercial ELISA kit |
ELISA – enzyme-linked immunosorbent assay
Characteristics and results of studies (n=5) reporting prevalence of maternal Herpes simplex virus (HSV) infection
| Article | Location, setting of study | Type, duration of study | Population | Results / Prevalence | Technique used |
|---|---|---|---|---|---|
| Kurewa | Zimbabwe, peri-urban clinics | Cross-sectional study, 19 months | 691 pregnant women | 51.10% seropositive | ELISA detecting IgG |
| Yahya-Malima | Tanzania, antenatal clinics (6) | Cross-sectional study, duration not specified | 1296 sera collected from pregnant women | 20.7% prevalence of genital herpes | ELISA |
| Chen | China, antenatal clinic | Cross-sectional study, 3 months | 502 pregnant women | 10.8% seroprevalence of HSV-2 | Commercial ELISA to detect IgG |
| Haddow | Vanuatu, antenatal clinic | Cross-sectional study, 1 to 2 years | 535 pregnant women | 32% seroprevalence of HSV-2 | ELISA |
| Joesoef | Indonesia, prenatal clinic | Cross-sectional study, 15 months | 599 pregnant women | 9.9% seroprevalence of HSV-2 | Immuno-blot |
ELISA – enzyme-linked immunosorbent assay