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The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020
BACKGROUND: SARS-CoV-2 is known to transmit in hospital settings, but the contribution of infections acquired in hospitals to the epidemic at a national scale is unknown. METHODS: We used comprehensive national English datasets to determine the number of COVID-19 patients with identified hospital-ac...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902876/ https://www.ncbi.nlm.nih.gov/pubmed/35262072 http://dx.doi.org/10.21203/rs.3.rs-1140332/v1 |
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author | Knight, Gwenan Mui, Thi Stimson, James Funk, Sebastian Jafari, Yalda Pople, Diane Evans, Stephanie Yin, Mo Brown, Colin S. Bhattacharya, Alex Hope, Russell Semple, Malcolm G. Read, Jonathan M Cooper, Ben S Robotham, Julie V. |
author_facet | Knight, Gwenan Mui, Thi Stimson, James Funk, Sebastian Jafari, Yalda Pople, Diane Evans, Stephanie Yin, Mo Brown, Colin S. Bhattacharya, Alex Hope, Russell Semple, Malcolm G. Read, Jonathan M Cooper, Ben S Robotham, Julie V. |
author_sort | Knight, Gwenan |
collection | PubMed |
description | BACKGROUND: SARS-CoV-2 is known to transmit in hospital settings, but the contribution of infections acquired in hospitals to the epidemic at a national scale is unknown. METHODS: We used comprehensive national English datasets to determine the number of COVID-19 patients with identified hospital-acquired infections (with symptom onset >7 days after admission and before discharge) in acute English hospitals up to August 2020. As patients may leave the hospital prior to detection of infection or have rapid symptom onset, we combined measures of the length of stay and the incubation period distribution to estimate how many hospital-acquired infections may have been missed. We used simulations to estimate the total number (identified and unidentified) of symptomatic hospital-acquired infections, as well as infections due to onward community transmission from missed hospital-acquired infections, to 31(st) July 2020. RESULTS: In our dataset of hospitalised COVID-19 patients in acute English hospitals with a recorded symptom onset date (n = 65,028), 7% were classified as hospital-acquired. We estimated that only 30% (range across weeks and 200 simulations: 20-41%) of symptomatic hospital-acquired infections would be identified, with up to 15% (mean, 95% range over 200 simulations: 14.1%-15.8%) of cases currently classified as community-acquired COVID-19 potentially linked to hospital transmission. We estimated that 26,600 (25,900 to 27,700) individuals acquired a symptomatic SARS-CoV-2 infection in an acute Trust in England before 31st July 2020, resulting in 15,900 (15,200-16,400) or 20.1% (19.2%-20.7%) of all identified hospitalised COVID-19 cases. CONCLUSIONS: Transmission of SARS-CoV-2 to hospitalised patients likely caused approximately a fifth of identified cases of hospitalised COVID-19 in the “first wave” in England, but less than 1% of all infections in England. Using time to symptom onset from admission for inpatients as a detection method likely misses a substantial proportion (>60%) of hospital-acquired infections. |
format | Online Article Text |
id | pubmed-8902876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-89028762022-03-09 The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020 Knight, Gwenan Mui, Thi Stimson, James Funk, Sebastian Jafari, Yalda Pople, Diane Evans, Stephanie Yin, Mo Brown, Colin S. Bhattacharya, Alex Hope, Russell Semple, Malcolm G. Read, Jonathan M Cooper, Ben S Robotham, Julie V. Res Sq Article BACKGROUND: SARS-CoV-2 is known to transmit in hospital settings, but the contribution of infections acquired in hospitals to the epidemic at a national scale is unknown. METHODS: We used comprehensive national English datasets to determine the number of COVID-19 patients with identified hospital-acquired infections (with symptom onset >7 days after admission and before discharge) in acute English hospitals up to August 2020. As patients may leave the hospital prior to detection of infection or have rapid symptom onset, we combined measures of the length of stay and the incubation period distribution to estimate how many hospital-acquired infections may have been missed. We used simulations to estimate the total number (identified and unidentified) of symptomatic hospital-acquired infections, as well as infections due to onward community transmission from missed hospital-acquired infections, to 31(st) July 2020. RESULTS: In our dataset of hospitalised COVID-19 patients in acute English hospitals with a recorded symptom onset date (n = 65,028), 7% were classified as hospital-acquired. We estimated that only 30% (range across weeks and 200 simulations: 20-41%) of symptomatic hospital-acquired infections would be identified, with up to 15% (mean, 95% range over 200 simulations: 14.1%-15.8%) of cases currently classified as community-acquired COVID-19 potentially linked to hospital transmission. We estimated that 26,600 (25,900 to 27,700) individuals acquired a symptomatic SARS-CoV-2 infection in an acute Trust in England before 31st July 2020, resulting in 15,900 (15,200-16,400) or 20.1% (19.2%-20.7%) of all identified hospitalised COVID-19 cases. CONCLUSIONS: Transmission of SARS-CoV-2 to hospitalised patients likely caused approximately a fifth of identified cases of hospitalised COVID-19 in the “first wave” in England, but less than 1% of all infections in England. Using time to symptom onset from admission for inpatients as a detection method likely misses a substantial proportion (>60%) of hospital-acquired infections. American Journal Experts 2022-03-03 /pmc/articles/PMC8902876/ /pubmed/35262072 http://dx.doi.org/10.21203/rs.3.rs-1140332/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Knight, Gwenan Mui, Thi Stimson, James Funk, Sebastian Jafari, Yalda Pople, Diane Evans, Stephanie Yin, Mo Brown, Colin S. Bhattacharya, Alex Hope, Russell Semple, Malcolm G. Read, Jonathan M Cooper, Ben S Robotham, Julie V. The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020 |
title | The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020 |
title_full | The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020 |
title_fullStr | The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020 |
title_full_unstemmed | The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020 |
title_short | The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020 |
title_sort | contribution of hospital-acquired infections to the covid-19 epidemic in england in the first half of 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902876/ https://www.ncbi.nlm.nih.gov/pubmed/35262072 http://dx.doi.org/10.21203/rs.3.rs-1140332/v1 |
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