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A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure

Hospital workers are at high risk of contact with COVID-19 patients. Currently, there is no evidence-based, comprehensive risk assessment tool for healthcare-related exposure; so, we aimed to identify independent factors related to COVID-19 infection in hospital workers following workplace exposure(...

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Autores principales: Sripanidkulchai, Kantarida, Rattanaumpawan, Pinyo, Ratanasuwan, Winai, Angkasekwinai, Nasikarn, Assanasen, Susan, Werarak, Peerawong, Navanukroh, Oranich, Phatharodom, Phatharajit, Tocharoenchok, Teerapong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505412/
https://www.ncbi.nlm.nih.gov/pubmed/36136659
http://dx.doi.org/10.3390/tropicalmed7090248
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author Sripanidkulchai, Kantarida
Rattanaumpawan, Pinyo
Ratanasuwan, Winai
Angkasekwinai, Nasikarn
Assanasen, Susan
Werarak, Peerawong
Navanukroh, Oranich
Phatharodom, Phatharajit
Tocharoenchok, Teerapong
author_facet Sripanidkulchai, Kantarida
Rattanaumpawan, Pinyo
Ratanasuwan, Winai
Angkasekwinai, Nasikarn
Assanasen, Susan
Werarak, Peerawong
Navanukroh, Oranich
Phatharodom, Phatharajit
Tocharoenchok, Teerapong
author_sort Sripanidkulchai, Kantarida
collection PubMed
description Hospital workers are at high risk of contact with COVID-19 patients. Currently, there is no evidence-based, comprehensive risk assessment tool for healthcare-related exposure; so, we aimed to identify independent factors related to COVID-19 infection in hospital workers following workplace exposure(s) and construct a risk prediction model. We analyzed the COVID-19 contact tracing dataset from 15 July to 31 December 2021 using multiple logistic regression analysis, considering exposure details, demographics, and vaccination history. Of 7146 included exposures to confirmed COVID-19 patients, 229 (4.2%) had subsequently tested positive via RT-PCR. Independent risk factors for a positive test were having symptoms (adjusted odds ratio 4.94, 95%CI 3.83–6.39), participating in an unprotected aerosol-generating procedure (aOR 2.87, 1.66–4.96), duration of exposure >15 min (aOR 2.52, 1.82–3.49), personnel who did not wear a mask (aOR 2.49, 1.75–3.54), exposure to aerodigestive secretion (aOR 1.5, 1.03–2.17), index patient not wearing a mask (aOR 1.44, 1.01–2.07), and exposure distance <1 m without eye protection (aOR 1.39, 1.02–1.89). High-potency vaccines and high levels of education protected against infection. A risk model and scoring system with good discrimination power were built. Having symptoms, unprotected exposure, lower education level, and receiving low potency vaccines increased the risk of laboratory-confirmed COVID-19 following healthcare-related exposure events.
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spelling pubmed-95054122022-09-24 A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure Sripanidkulchai, Kantarida Rattanaumpawan, Pinyo Ratanasuwan, Winai Angkasekwinai, Nasikarn Assanasen, Susan Werarak, Peerawong Navanukroh, Oranich Phatharodom, Phatharajit Tocharoenchok, Teerapong Trop Med Infect Dis Article Hospital workers are at high risk of contact with COVID-19 patients. Currently, there is no evidence-based, comprehensive risk assessment tool for healthcare-related exposure; so, we aimed to identify independent factors related to COVID-19 infection in hospital workers following workplace exposure(s) and construct a risk prediction model. We analyzed the COVID-19 contact tracing dataset from 15 July to 31 December 2021 using multiple logistic regression analysis, considering exposure details, demographics, and vaccination history. Of 7146 included exposures to confirmed COVID-19 patients, 229 (4.2%) had subsequently tested positive via RT-PCR. Independent risk factors for a positive test were having symptoms (adjusted odds ratio 4.94, 95%CI 3.83–6.39), participating in an unprotected aerosol-generating procedure (aOR 2.87, 1.66–4.96), duration of exposure >15 min (aOR 2.52, 1.82–3.49), personnel who did not wear a mask (aOR 2.49, 1.75–3.54), exposure to aerodigestive secretion (aOR 1.5, 1.03–2.17), index patient not wearing a mask (aOR 1.44, 1.01–2.07), and exposure distance <1 m without eye protection (aOR 1.39, 1.02–1.89). High-potency vaccines and high levels of education protected against infection. A risk model and scoring system with good discrimination power were built. Having symptoms, unprotected exposure, lower education level, and receiving low potency vaccines increased the risk of laboratory-confirmed COVID-19 following healthcare-related exposure events. MDPI 2022-09-14 /pmc/articles/PMC9505412/ /pubmed/36136659 http://dx.doi.org/10.3390/tropicalmed7090248 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sripanidkulchai, Kantarida
Rattanaumpawan, Pinyo
Ratanasuwan, Winai
Angkasekwinai, Nasikarn
Assanasen, Susan
Werarak, Peerawong
Navanukroh, Oranich
Phatharodom, Phatharajit
Tocharoenchok, Teerapong
A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure
title A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure
title_full A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure
title_fullStr A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure
title_full_unstemmed A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure
title_short A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure
title_sort risk prediction model and risk score of sars-cov-2 infection following healthcare-related exposure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505412/
https://www.ncbi.nlm.nih.gov/pubmed/36136659
http://dx.doi.org/10.3390/tropicalmed7090248
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