A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure
Issued Date
2022-09-01
Resource Type
eISSN
24146366
Scopus ID
2-s2.0-85138563334
Journal Title
Tropical Medicine and Infectious Disease
Volume
7
Issue
9
Rights Holder(s)
SCOPUS
Bibliographic Citation
Tropical Medicine and Infectious Disease Vol.7 No.9 (2022)
Suggested Citation
Sripanidkulchai K., Rattanaumpawan P., Ratanasuwan W., Angkasekwinai N., Assanasen S., Werarak P., Navanukroh O., Phatharodom P., Tocharoenchok T. A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure. Tropical Medicine and Infectious Disease Vol.7 No.9 (2022). doi:10.3390/tropicalmed7090248 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/85553
Title
A Risk Prediction Model and Risk Score of SARS-CoV-2 Infection Following Healthcare-Related Exposure
Author's Affiliation
Other Contributor(s)
Abstract
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.