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16 results on '"Hazarika, Rahul"'

7. Authors' response

Author

Gupta, Nivedita, primary, Praharaj, Ira, additional, Jain, Amita, additional, Singh, Mini, additional, Balakrishnan, Anukumar, additional, Dhodapkar, Rahul, additional, Borkakoty, Biswajyoti, additional, Ashok, Munivenkatappa, additional, Das, Pradeep Das, additional, Biswas, Debasis, additional, Kalawat, Usha, additional, Turuk, Jyotirmayee, additional, Sugunan, A.P., additional, Prakash, Shantanu, additional, Singh, AnirudhK., additional, Barathidasan, Rajamani, additional, Subhadra, Subhra, additional, Sabat, Jyotsnamayee, additional, Manjunath, M.J., additional, Kanta, Poonam, additional, Mudhigeti, Nagaraja, additional, Hazarika, Rahul, additional, Mishra, Hricha, additional, Abhishek, Kumar, additional, Santhalembi, C., additional, Dikhit, ManasRanjan, additional, Vijay, Neetu, additional, Narayan, Jitendra, additional, Kaur, Harmanmeet, additional, and Giri, Sidhartha, additional

Published
2021
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10. Pooled testing for COVID-19 diagnosis by real-time RT-PCR: A multi-site comparative evaluation of 5- & 10-sample pooling

Author

Gupta, Nivedita, primary, Praharaj, Ira, additional, Jain, Amita, additional, Singh, Mini, additional, Balakrishnan, Anukumar, additional, Dhodapkar, Rahul, additional, Borkakoty, Biswajyoti, additional, Ashok, Munivenkatappa, additional, Das, Pradeep, additional, Biswas, Debasis, additional, Kalawat, Usha, additional, Turuk, Jyotirmayee, additional, Sugunan, AP, additional, Prakash, Shantanu, additional, Singh, AnirudhK, additional, Barathidasan, Rajamani, additional, Subhadra, Subhra, additional, Sabat, Jyotsnamayee, additional, Manjunath, MJ, additional, Kanta, Poonam, additional, Mudhigeti, Nagaraja, additional, Hazarika, Rahul, additional, Mishra, Hricha, additional, Abhishek, Kumar, additional, Santhalembi, C, additional, Dikhit, ManasRanjan, additional, Vijay, Neetu, additional, Narayan, Jitendra, additional, Kaur, Harmanmeet, additional, and Giri, Sidhartha, additional

Published
2020
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12. Prevalence of CampylobacterEnteritis in Children under 5 Years Hospitalised for Diarrhoea in Two Cities of Northeast India

Author

Borkakoty, Biswajyoti, Jakharia, Aniruddha, Sarmah, Mandakini Das, Hazarika, Rahul, Baruah, Pranjal Jyoti, Bora, Chandra Jyoti, Temsu, T., Gohain, Munmun, Devi, Utpala, and Biswas, Dipankar

Abstract

Background:Campylobacterenteritis is the major cause of bacterial gastroenteritis worldwide. In recent years, there has been a rise in global incidence of campylobacteriosis. There are no available data on prevalence of Campylobacterdiarrhoea from Northeast India. Materials and Methods:The study investigated archival stool samples collected between 2014 and 2016 from two hospitals of Northeast India. A total of 407 archival stool samples from cases of diarrhoea under 5 years of age were screened for Campylobacterspp. using commercial probe-based real-time polymerase chain reaction assay. Results:Campylobacterspp. was detected in overall 10.1% (41/407; 95% confidence interval: 7.4%–13.3%) in children under 5 years hospitalised for diarrhoea. The prevalence was significantly higher from Dibrugarh, Assam, compared to Dimapur, i.e., 13.4% (27/201) versus 6.8% (14/206), respectively (P= 0.02). Campylobacterdetection was highest in the month of June and July compared to December and January (20%–18.8% vs. 8.9%–6.2%, respectively). Further, Campylobacterinfection was higher in the age group below 24 months (11.7%) compared to above 24 months (7.0%). Campylobacter jejuniwas detected in 80.5% of the positive cases. Conclusion:The present study reveals that Campylobacterinfection is endemic in the studied regions of Northeast India and microbiological laboratories of the region should actively pursue the isolation or detection of Campylobacterspp. in cases of diarrhoea in routine stool cultures.

Published
2020
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13. Presence of fimH and isstype 1, 2 and 3 genes in uropathogenic Escherichia coliisolates recovered from an apex medical institute in North India

Author

Bali, Nargis, Borkakoty, Biswajyoti, Ali, Aamir, Ahmed, Tufail, Roohi, Shugufta, Wani, Sayim, Nisar, Qounser, and Hazarika, Rahul

Abstract

To detect the presence of fimH and isstype 1, 2 and 3 genes in uropathogenic Escherichia coli(UPEC) isolates recovered from patients coming to the out patient department (OPD) of our hospital.

Published
2023
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14. Norovirusgastroenteritis in children under-five years hospitalized for diarrhea in two cities of northeast India: A retrospective study

Author

Borkakoty, Biswajyoti, Bali, Nargis K., Jakaria, Aniruddha, Hazarika, Rahul, Temsu, T., Gohain, Munmun, and Kaur, Harpreet

Abstract

Norovirusgastroenteritis, known to cause ‘winter vomiting disease’ is increasingly being identified as a major cause of viral gastroenteritis worldwide. The impact and prevalence of this viral disease are lacking in many parts of India including northeast India. This study aimed to determine the prevalence and association of norovirusgastroenteritis among under-five-year-old hospitalized children in two cities in northeast India (Dibrugarh in Assam & Dimapur in Nagaland).

Published
2023
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15. Authors' response.

Author

Praharaj I, Jain A, Singh M, Balakrishnan A, Dhodapkar R, Borkakoty B, Ashok M, Das P, Biswas D, Kalawat U, Turuk J, Sugunan AP, Prakash S, Singh AK, Barathidasan R, Subhadra S, Sabat J, Manjunath MJ, Kanta P, Mudhigeti N, Hazarika R, Mishra H, Abhishek K, Santhalembi C, Dikhit MR, Vijay N, Narayan J, Kaur H, Giri S, and Gupta N

Abstract

Competing Interests: None

Published
2021
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16. Pooled testing for COVID-19 diagnosis by real-time RT-PCR: A multi-site comparative evaluation of 5- & 10-sample pooling.

Author

Praharaj I, Jain A, Singh M, Balakrishnan A, Dhodapkar R, Borkakoty B, Ashok M, Das P, Biswas D, Kalawat U, Turuk J, Sugunan AP, Prakash S, Singh AK, Barathidasan R, Subhadra S, Sabat J, Manjunath MJ, Kanta P, Mudhigeti N, Hazarika R, Mishra H, Abhishek K, Santhalembi C, Dikhit MR, Vijay N, Narayan J, Kaur H, Giri S, and Gupta N

Subjects
Betacoronavirus genetics, Betacoronavirus pathogenicity, COVID-19, COVID-19 Testing, COVID-19 Vaccines, Coronavirus Infections epidemiology, Coronavirus Infections genetics, Coronavirus Infections virology, Diagnostic Tests, Routine methods, Female, Humans, India epidemiology, Male, Pandemics, Pneumonia, Viral epidemiology, Pneumonia, Viral genetics, Pneumonia, Viral virology, RNA, Viral genetics, Real-Time Polymerase Chain Reaction methods, Reverse Transcriptase Polymerase Chain Reaction, SARS-CoV-2, Serologic Tests, Specimen Handling, Viral Load genetics, Betacoronavirus isolation & purification, Clinical Laboratory Techniques, Coronavirus Infections diagnosis, Pneumonia, Viral diagnosis, RNA, Viral isolation & purification
Abstract

Background & Objectives: Public health and diagnostic laboratories are facing huge sample loads for COVID-19 diagnosis by real-time reverse transcription-polymerase chain reaction (RT-PCR). High sensitivity of optimized real-time RT-PCR assays makes pooled testing a potentially efficient strategy for resource utilization when positivity rates for particular regions or groups of individuals are low. We report here a comparative analysis of pooled testing for 5- and 10-sample pools by real-time RT-PCR across 10 COVID-19 testing laboratories in India., Methods: Ten virus research and diagnostic laboratories (VRDLs) testing for COVID-19 by real-time RT-PCR participated in this evaluation. At each laboratory, 100 nasopharyngeal swab samples including 10 positive samples were used to create 5- and 10-sample pools with one positive sample in each pool. RNA extraction and real-time RT-PCR for SARS-CoV-2-specific E gene target were performed for individual positive samples as well as pooled samples. Concordance between individual sample testing and testing in the 5- or 10-sample pools was calculated, and the variation across sites and by sample cycle threshold (C t ) values was analyzed., Results: A total of 110 each of 5- and 10-sample pools were evaluated. Concordance between the 5-sample pool and individual sample testing was 100 per cent in the C t value ≤30 cycles and 95.5 per cent for C t values ≤33 cycles. Overall concordance between the 5-sample pooled and individual sample testing was 88 per cent while that between 10-sample pool and individual sample testing was 66 per cent. Although the concordance rates for both the 5- and 10-sample pooled testing varied across laboratories, yet for samples with C t values ≤33 cycles, the concordance was ≥90 per cent across all laboratories for the 5-sample pools., Interpretation & Conclusions: Results from this multi-site assessment suggest that pooling five samples for SARS-CoV-2 detection by real-time RT-PCR may be an acceptable strategy without much loss of sensitivity even for low viral loads, while with 10-sample pools, there may be considerably higher numbers of false negatives. However, testing laboratories should perform validations with the specific RNA extraction and RT-PCR kits in use at their centres before initiating pooled testing., Competing Interests: None

Published
2020
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