Serologic Study for TORCH Infection in Women with Bad Obstetric History in Al-Anbar Province (IRAQ)

Alouci, Muntaha M. (2018) Serologic Study for TORCH Infection in Women with Bad Obstetric History in Al-Anbar Province (IRAQ). Egyptian Academic Journal of Biological Sciences, G. Microbiology, 10 (2). pp. 9-4. ISSN 2090-0880

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Abstract

Background: TORCH infections, are a medical abbreviation for a set of perinatal infections that are passed from a pregnant woman to her fetus, they are one of the essential causes of Bad obstetric history (BOH). The best identification of TORCH can be done with serological tests by using rapid test and ELISA.
Patients and Methods: A total of300 women with BOH were enrolled in this study, rapid test and ELISA technique were applied to detect of TORCH infections in study group beside 30 women as the control group.
Results: The age group was ranging between 18-42 years, the highest percentage of IgG was specific for HSV-1 and Rubella virus which were 57.9% and 54.6% respectively, the highest percentage of IgM was specific for Rubella virus and Toxoplasma which was 2% for both of which. The positive seroprevalence for TORCH infection was 89% of the study group. The frequency of abortion was the highest between the other BOH classes 57.3%, followed by early neonatal death 14%, Intrauterine death 7% and 6% for congenital anomalies. The results also showed that there were no significant differences between the results of ELISA technique and rapid test to the IgG and IgM for all items of Torch infection
Conclusions: The most frequent age was between 25-30, the highest decrease in levels of anti-TORCH IgM and increase the percentage of different anti-TORCH IgG which results in highly increasing in positive seroprevalence for THORC infection. The recent rapid tests are very specific and their result is similar to the results of automated ELISA. In aborted women, Intrauterine death, congenital anomalies the highest infection was with CMV

Item Type: Article
Subjects: Science Global Plos > Biological Science
Depositing User: Unnamed user with email support@science.globalplos.com
Date Deposited: 10 Jul 2023 06:18
Last Modified: 16 Oct 2023 04:05
URI: http://ebooks.manu2sent.com/id/eprint/1344

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