Comparative studies of rubella virus immunity of immunized and non-immunized pregnant women visiting Kogi State University Teaching Hospital, Anyigba, North Central Nigeria

Autor:	Martin-Luther Oseni Okolo, Lillian E Odama, Benjamin Mudi Idache, Cornelius Arome Omatola, Ogbu Ogbonnaya, Onyeukwu U Ekuma, Kizito Emeje Bello
Rok vydání:	2020
Předmět:	Adult Adolescent Clinical Biochemistry Immunology Nigeria Enzyme-Linked Immunosorbent Assay medicine.disease_cause 01 natural sciences Rubella Young Adult Pregnancy Immunity Environmental health medicine Humans Immunology and Allergy Pregnancy Complications Infectious Hospitals Teaching North central business.industry 010401 analytical chemistry Rubella virus Middle Aged medicine.disease 0104 chemical sciences Medical Laboratory Technology Immunoglobulin M Immunoglobulin G Female University teaching business
Zdroj:	Journal of Immunoassay and Immunochemistry. 41:709-717
ISSN:	1532-4230 1532-1819
DOI:	10.1080/15321819.2020.1741384
Popis:	Rubella is endemic worldwide and poses a serious threat to infants and pregnant women. Although the disease has been widely reported in parts of the country, there is currently no documented evidence of the disease in Anyigba. A comparative study of rubella immunity was conducted among immunized and non-immunized pregnant women visiting the Kogi State University Teaching Hospital, Anyigba. In a cross-sectional study, blood samples collected from 300 pregnant women (immunized = 127; non-immunized = 173) were tested for rubella antibodies using ELISA kit. Overall, anti-rubella-IgM and IgG seroprevalence rates of 38 (12.7%) and 83 (27.7%) were detected. Seventy (55.1%) of the immunized against 13 (7.5%) of non-immunized women had detectable IgG. The non-immunized women were significantly more seropositive for IgM than the immunized who recorded higher prevalence of IgG. Immunized and non-immunized women aged 23-32 years had higher IgG and IgM positivity rates. The difference in IgM and IgG seropositivity rates in relation to vaccination was statistically significant (
Databáze:	OpenAIRE
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