Evidence map›Paper›PMID 37263690›Full record

ArticleBMJ open2023

Rubella seroprevalence among pregnant women in the region of Rabat, Morocco: a cross-sectional study.

Hafsa Lamrani Alaoui, Myriam Seffar, Jalal Kassouati, Amal Zouaki, Hakima Kabbaj

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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hafsa Lamrani AlaouiPre-Clinical Sciences, Mohammed V University of Rabat Faculty of Medicine and Pharmacy of Rabat, Rabat, Morocco.ORCID 0000-0002-4988-1377
Myriam SeffarFaculty of Medicine and Pharmacy, Mohammed V University of Rabat, Rabat, Morocco.
Jalal KassouatiFaculty of Medicine and Pharmacy, Mohammed V University of Rabat, Rabat, Morocco.
Amal ZouakiCentral Laboratory of Virology, Ibn Sina University Hospital Center, Rabat, Morocco.
Hakima KabbajFaculty of Medicine and Pharmacy, Mohammed V University of Rabat, Rabat, Morocco kabbaj_hakima@yahoo.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of the present research is to update data on the seroprevalence of rubella and to identify the associated risk factors among pregnant women in the Rabat region of Morocco in order to take immediate action to monitor the virus.

designA cross-sectional study.

settingThe study was conducted at Ibn Sina University Hospital and at referral healthcare centres in the region of Rabat.

participantsA total of 502 pregnant women (mean age 29.7±6.3 years, range 17-44 years) attending the maternity department during 8 months were selected for serological testing. OUTCOME MEASURES: A structured questionnaire was used to obtain sociodemographic, reproductive and clinical characteristics after obtaining written informed consent. Venous blood samples were collected to determine rubella-specific IgG antibodies using an automated chemiluminescent microparticle immunoassay (ARCHITECT i1000SR and i2000SR, Abbott Diagnostics).

resultsAntirubella IgG antibodies (≥10 IU/mL) were found in 408 (85.9%) pregnant women examined. The rate of susceptibility to rubella virus infection among pregnant women was found to be 14.1%. These protective rates were found to differ significantly between uneducated pregnant women (80.9%) and those with university-level education (95.5%) (p=0.02). Pregnant women in the 17-24, 25-34 and 35-44 years age groups accounted for 92.5%, 85.2% and 82.8%, respectively (p=0.015). Also, IgG seropositivity status was found to differ significantly between multiparous (83.3%) and primiparous (92.5%) pregnant women (p=0.01). None of the other characteristics was significantly associated with rubella infections.

conclusionVaccination programmes need to be updated to ensure that campaigns reach their specified goals. Thus, implementing an effective, large-scale screening programme for congenital rubella infection in different regions of Morocco is highly recommended. On the other hand, seronegative pregnant women should be given special preventive care and health education about rubella transmission and congenital rubella syndrome sequelae.

Indexed as

Pregnancy Complications, InfectiousRubellaAntibodies, ViralChild, PreschoolCross-Sectional StudiesFemaleHumansImmunoglobulin GInfantMoroccoPregnancyPregnant PeopleRubella virusSeroepidemiologic StudiesAntibodies, ViralImmunoglobulin GDiagnostic microbiologyEpidemiologyInfection controlPrenatal diagnosisPublic healthVIROLOGY

Identifiers

PMID37263690
PMCPMC10254781

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.