Cargando…
Hospital Practices for Respiratory Isolation for Patients With Suspected Tuberculosis and Potential Application of Prediction Models
Hospitalized persons with suspected pulmonary tuberculosis (PTB) are placed in airborne isolation to prevent nosocomial infection, as recommended by the Centers for Disease Control and Prevention (CDC). There is significant evidence that clinicians overuse this resource due to an abundance of cautio...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822524/ https://www.ncbi.nlm.nih.gov/pubmed/36627984 http://dx.doi.org/10.7759/cureus.32294 |
_version_ | 1784865967200796672 |
---|---|
author | Davidson, Joshua Chesen, Bryan Kumar, Samir Shayowitz, Daniel J |
author_facet | Davidson, Joshua Chesen, Bryan Kumar, Samir Shayowitz, Daniel J |
author_sort | Davidson, Joshua |
collection | PubMed |
description | Hospitalized persons with suspected pulmonary tuberculosis (PTB) are placed in airborne isolation to prevent nosocomial infection, as recommended by the Centers for Disease Control and Prevention (CDC). There is significant evidence that clinicians overuse this resource due to an abundance of caution when confronted with a patient with possible PTB. Many researchers have developed predictive tools based on clinical and radiographic data to assist clinicians in deciding which patients to place in respiratory isolation. We assessed the isolation practices for an urban hospital serving a large immigrant population and then retrospectively applied seven previously derived prediction models of isolation of PTB to our population. Our current clinical practice results in 76% of patients with PTB being placed in isolation on admission. However, 208 patients without PTB were placed in isolation unnecessarily for a total of 584 days. Four models had sensitivities greater than 90%, and two models had sensitivities of 100%. The use of these models would have potentially saved more than 150 days of patient isolation per year. |
format | Online Article Text |
id | pubmed-9822524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-98225242023-01-09 Hospital Practices for Respiratory Isolation for Patients With Suspected Tuberculosis and Potential Application of Prediction Models Davidson, Joshua Chesen, Bryan Kumar, Samir Shayowitz, Daniel J Cureus Internal Medicine Hospitalized persons with suspected pulmonary tuberculosis (PTB) are placed in airborne isolation to prevent nosocomial infection, as recommended by the Centers for Disease Control and Prevention (CDC). There is significant evidence that clinicians overuse this resource due to an abundance of caution when confronted with a patient with possible PTB. Many researchers have developed predictive tools based on clinical and radiographic data to assist clinicians in deciding which patients to place in respiratory isolation. We assessed the isolation practices for an urban hospital serving a large immigrant population and then retrospectively applied seven previously derived prediction models of isolation of PTB to our population. Our current clinical practice results in 76% of patients with PTB being placed in isolation on admission. However, 208 patients without PTB were placed in isolation unnecessarily for a total of 584 days. Four models had sensitivities greater than 90%, and two models had sensitivities of 100%. The use of these models would have potentially saved more than 150 days of patient isolation per year. Cureus 2022-12-07 /pmc/articles/PMC9822524/ /pubmed/36627984 http://dx.doi.org/10.7759/cureus.32294 Text en Copyright © 2022, Davidson et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Internal Medicine Davidson, Joshua Chesen, Bryan Kumar, Samir Shayowitz, Daniel J Hospital Practices for Respiratory Isolation for Patients With Suspected Tuberculosis and Potential Application of Prediction Models |
title | Hospital Practices for Respiratory Isolation for Patients With Suspected Tuberculosis and Potential Application of Prediction Models |
title_full | Hospital Practices for Respiratory Isolation for Patients With Suspected Tuberculosis and Potential Application of Prediction Models |
title_fullStr | Hospital Practices for Respiratory Isolation for Patients With Suspected Tuberculosis and Potential Application of Prediction Models |
title_full_unstemmed | Hospital Practices for Respiratory Isolation for Patients With Suspected Tuberculosis and Potential Application of Prediction Models |
title_short | Hospital Practices for Respiratory Isolation for Patients With Suspected Tuberculosis and Potential Application of Prediction Models |
title_sort | hospital practices for respiratory isolation for patients with suspected tuberculosis and potential application of prediction models |
topic | Internal Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822524/ https://www.ncbi.nlm.nih.gov/pubmed/36627984 http://dx.doi.org/10.7759/cureus.32294 |
work_keys_str_mv | AT davidsonjoshua hospitalpracticesforrespiratoryisolationforpatientswithsuspectedtuberculosisandpotentialapplicationofpredictionmodels AT chesenbryan hospitalpracticesforrespiratoryisolationforpatientswithsuspectedtuberculosisandpotentialapplicationofpredictionmodels AT kumarsamir hospitalpracticesforrespiratoryisolationforpatientswithsuspectedtuberculosisandpotentialapplicationofpredictionmodels AT shayowitzdanielj hospitalpracticesforrespiratoryisolationforpatientswithsuspectedtuberculosisandpotentialapplicationofpredictionmodels |