Kranti Suresh Vora1,2*, Paridhi Gupta1, Shahin Saiyed1, Bhumika Prajapati1 and Senthilkumar Natesan1
1Indian Institute of Public Health Gandhinagar (IIPHG), Gujarat, India
2University of Canberra, Australia
*Corresponding Author: Kranti Suresh Vora, Additional Professor, IIPHG, Visiting Fellow, University of Canberra, Australia.
Received: September 17, 2020; Published: October 08, 2020
Introduction: Maternal infections are important causes of poor birth outcomes, child morbidity, and mortality. The most common infections during pregnancy causing adverse birth outcomes are TORCH. Few studies have been done in India to know prevalence of TORCH in general population. The objective of this study is to determine the Prevalence of TORCH infections in a tribal area of the Aravalli district in Gujarat, India.
Methods: Pregnant women in any gestational age residing in tribal area were eligible for this study. The maternal blood sample were collected once during pregnancy to study TORCH infections through molecular detection by nested-PCR and IgG-IgM antibodies detection through ELISA method.
Results: At the time of the study women who were pregnant (n = 901) were included in this research. Prevalence of toxoplasmosis, CMV, and HSV was reported to be 39%, 37%, and 38% respectively. ELISA IgM positivity for toxoplasmosis was 1.22%, CMV was 2.7%, HSV was 4%, and Rubella was 1.55%.
Conclusion: High prevalence of TORCH infections in tribal community by DNA detection indicates higher vulnerability of this population. Regular screening during antenatal period should be done to prevent poor pregnancy outcomes in women.
Keywords: Pregnancy; Prevalence; TORCH; Tribal Women; India; Poor Birth Outcomes; Maternal Infections
Citation: Kranti Suresh Vora., et al. “Prevalence of TORCH Infections during Pregnancy: A Prospective Cohort Study in Tribal Region of Gujarat, India". Acta Scientific Women's Health 2.11 (2020): 16-22.
Copyright: © 2020 Kranti Suresh Vora., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.