Abstract | BACKGROUND:
Nucleic acid amplification testing ( NAT) is restricted to a few blood banks in India since 2008. This review was directed toward understanding NAT yield in different parts of the country and prevalence in the NAT of different types of virus. MATERIALS AND METHODS: English literature was searched from 1990 to 2016 in PubMed, Scopus, Ind med, and Google database using properly constructed key words. Literature was collected and finally the data were synthesized. RESULTS:
NAT results from 11 publications and one personal communication showed that till date 389387 blood units have been NAT tested from various parts of the country. NAT yield varied from 1:476 to 1:4403 in various studies. Till date, 58/2550 (2%) blood banks of India are doing NAT testing but all of them have not published their results. Majority of the centers have used ID- NAT (Individual NAT) protocol and 21 blood banks are using minipool format of the test. One center has used in-house NAT testing system. In> 70% of the time, the NAT positivity with due to hepatitis B (Hep B). For individual infection, NAT yield from the pooled data showed HIV in 1:66,000, Hep C virus 1:5484 and Hep B in 1:1761 seronegative donors. DISCUSSION AND CONCLUSION: In view of the very high NAT yield (1:1361), NAT in some from needs to be universally applied in Indian blood banks. However, the high Hep B occult infection suggests stricter donor selection and immunization of adults for Hep B may be way forward toward ensuring the viral safety of blood components in India.
|
Authors | Kanjaksha Ghosh, Kanchan Mishra |
Journal | Indian journal of pathology & microbiology
(Indian J Pathol Microbiol)
2017 Jul-Sep
Vol. 60
Issue 3
Pg. 313-318
ISSN: 0974-5130 [Electronic] India |
PMID | 28937364
(Publication Type: Journal Article, Review)
|
Topics |
- Blood Banks
- Communicable Diseases
(diagnosis)
- Health Services Research
- Humans
- India
- Mass Screening
(methods)
- Molecular Diagnostic Techniques
(methods, statistics & numerical data)
- Nucleic Acid Amplification Techniques
(methods, statistics & numerical data)
|