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SARS-CoV-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in India: An observational study
BACKGROUND: There are sparse longitudinal data on SARS-CoV-2 infection after previous infection and after partial or full vaccination. METHODS: This study of a cohort of healthcare workers used Kaplan-Meier analysis with appropriate definition of events and censoring and used Cox models to assess ou...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857778/ https://www.ncbi.nlm.nih.gov/pubmed/35192951 http://dx.doi.org/10.1016/j.ijid.2022.02.037 |
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author | Dhumal, Sachin Patil, Amar More, Ashwini Kamtalwar, Sujeet Joshi, Amit Gokarn, Anant Mirgh, Sumeet Thatikonda, Puneeth Bhat, Prasanth Murthy, Vedang Chavan, Preeti Oak, Amey Gore, Suvarna Bhattacharjee, Atanu Patkar, Nikhil Kannan, Sadhana Shetty, Nitin Rawat, Anjali Achrekar, Meera Trivedi, Bhakti Laskar, Siddhartha Chaturvedi, Pankaj Badwe, Rajendra Khattry, Navin Gupta, Sudeep |
author_facet | Dhumal, Sachin Patil, Amar More, Ashwini Kamtalwar, Sujeet Joshi, Amit Gokarn, Anant Mirgh, Sumeet Thatikonda, Puneeth Bhat, Prasanth Murthy, Vedang Chavan, Preeti Oak, Amey Gore, Suvarna Bhattacharjee, Atanu Patkar, Nikhil Kannan, Sadhana Shetty, Nitin Rawat, Anjali Achrekar, Meera Trivedi, Bhakti Laskar, Siddhartha Chaturvedi, Pankaj Badwe, Rajendra Khattry, Navin Gupta, Sudeep |
author_sort | Dhumal, Sachin |
collection | PubMed |
description | BACKGROUND: There are sparse longitudinal data on SARS-CoV-2 infection after previous infection and after partial or full vaccination. METHODS: This study of a cohort of healthcare workers used Kaplan-Meier analysis with appropriate definition of events and censoring and used Cox models to assess outcomes, with data cut-off on June 18, 2021. RESULTS: A total of 1806 individuals with median age of 32 (18-64) years, 1483 (82.1%) with at least one vaccine dose, 1085 (60.1%) with 2 vaccine doses, 408 (22.6%) with at least one episode of SARS-CoV-2 infection, and 6 (1.47%) with 2 episodes of infection were included in the analysis. At median follow-up of 38.4 weeks after first SARS-CoV-2 infection (n=408), the 52-week probability of reinfection was 2.2% (95% CI, 1.0-4.91%); and at median follow-up of 13.3 weeks after second dose, the 16-week probability of breakthrough infection was 5.6% (95% CI, 4.33-7.23%), which was significantly higher among those without previous SARS-CoV-2 infection versus with previous infection (6.4% vs 1.8%, p=0.016, adjusted Cox HR=3.49, 95% CI, 1.09-11.20, p=0.036) and females versus males (7.9% vs 3.8%, p=0.007, adjusted Cox HR=2.06, 95% CI 1.19-3.56, p=0.01). CONCLUSIONS: There was low probability of reinfection after previous SARS-CoV-2 infection and higher vaccine breakthrough infections among females and those without previous infection. |
format | Online Article Text |
id | pubmed-8857778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88577782022-02-22 SARS-CoV-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in India: An observational study Dhumal, Sachin Patil, Amar More, Ashwini Kamtalwar, Sujeet Joshi, Amit Gokarn, Anant Mirgh, Sumeet Thatikonda, Puneeth Bhat, Prasanth Murthy, Vedang Chavan, Preeti Oak, Amey Gore, Suvarna Bhattacharjee, Atanu Patkar, Nikhil Kannan, Sadhana Shetty, Nitin Rawat, Anjali Achrekar, Meera Trivedi, Bhakti Laskar, Siddhartha Chaturvedi, Pankaj Badwe, Rajendra Khattry, Navin Gupta, Sudeep Int J Infect Dis Article BACKGROUND: There are sparse longitudinal data on SARS-CoV-2 infection after previous infection and after partial or full vaccination. METHODS: This study of a cohort of healthcare workers used Kaplan-Meier analysis with appropriate definition of events and censoring and used Cox models to assess outcomes, with data cut-off on June 18, 2021. RESULTS: A total of 1806 individuals with median age of 32 (18-64) years, 1483 (82.1%) with at least one vaccine dose, 1085 (60.1%) with 2 vaccine doses, 408 (22.6%) with at least one episode of SARS-CoV-2 infection, and 6 (1.47%) with 2 episodes of infection were included in the analysis. At median follow-up of 38.4 weeks after first SARS-CoV-2 infection (n=408), the 52-week probability of reinfection was 2.2% (95% CI, 1.0-4.91%); and at median follow-up of 13.3 weeks after second dose, the 16-week probability of breakthrough infection was 5.6% (95% CI, 4.33-7.23%), which was significantly higher among those without previous SARS-CoV-2 infection versus with previous infection (6.4% vs 1.8%, p=0.016, adjusted Cox HR=3.49, 95% CI, 1.09-11.20, p=0.036) and females versus males (7.9% vs 3.8%, p=0.007, adjusted Cox HR=2.06, 95% CI 1.19-3.56, p=0.01). CONCLUSIONS: There was low probability of reinfection after previous SARS-CoV-2 infection and higher vaccine breakthrough infections among females and those without previous infection. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2022-05 2022-02-19 /pmc/articles/PMC8857778/ /pubmed/35192951 http://dx.doi.org/10.1016/j.ijid.2022.02.037 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Dhumal, Sachin Patil, Amar More, Ashwini Kamtalwar, Sujeet Joshi, Amit Gokarn, Anant Mirgh, Sumeet Thatikonda, Puneeth Bhat, Prasanth Murthy, Vedang Chavan, Preeti Oak, Amey Gore, Suvarna Bhattacharjee, Atanu Patkar, Nikhil Kannan, Sadhana Shetty, Nitin Rawat, Anjali Achrekar, Meera Trivedi, Bhakti Laskar, Siddhartha Chaturvedi, Pankaj Badwe, Rajendra Khattry, Navin Gupta, Sudeep SARS-CoV-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in India: An observational study |
title | SARS-CoV-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in India: An observational study |
title_full | SARS-CoV-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in India: An observational study |
title_fullStr | SARS-CoV-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in India: An observational study |
title_full_unstemmed | SARS-CoV-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in India: An observational study |
title_short | SARS-CoV-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in India: An observational study |
title_sort | sars-cov-2 reinfection after previous infection and vaccine breakthrough infection through the second wave of pandemic in india: an observational study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857778/ https://www.ncbi.nlm.nih.gov/pubmed/35192951 http://dx.doi.org/10.1016/j.ijid.2022.02.037 |
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