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Hypotension in ICU Patients Receiving Vasopressor Therapy
Vasopressor infusion (VPI) is used to treat hypotension in an ICU. We studied compliance with blood pressure (BP) goals during VPI and whether a statistical model might be efficacious for advance warning of impending hypotension, compared with a basic hypotension threshold alert. Retrospective data...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561088/ https://www.ncbi.nlm.nih.gov/pubmed/28819101 http://dx.doi.org/10.1038/s41598-017-08137-0 |
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author | Yapps, Bryce Shin, Sungtae Bighamian, Ramin Thorsen, Jill Arsenault, Colleen Quraishi, Sadeq A. Hahn, Jin-Oh Reisner, Andrew T. |
author_facet | Yapps, Bryce Shin, Sungtae Bighamian, Ramin Thorsen, Jill Arsenault, Colleen Quraishi, Sadeq A. Hahn, Jin-Oh Reisner, Andrew T. |
author_sort | Yapps, Bryce |
collection | PubMed |
description | Vasopressor infusion (VPI) is used to treat hypotension in an ICU. We studied compliance with blood pressure (BP) goals during VPI and whether a statistical model might be efficacious for advance warning of impending hypotension, compared with a basic hypotension threshold alert. Retrospective data were obtained from a public database. Studying adult ICU patients receiving VPI at submaximal dosages, we analyzed characteristics of sustained hypotension episodes (>15 min) and then developed a logistic regression model to predict hypotension episodes using input features related to BP trends. The model was then validated with prospective data. In the retrospective dataset, 102-of-215 ICU stays experienced >1 hypotension episode (median of 2.5 episodes per day in this subgroup). When trained with 75% of retrospective dataset, testing with the remaining 25% of the dataset showed that the model and the threshold alert detected 99.6% and 100% of the episodes, respectively, with median advance forecast times (AFT) of 12 and 0 min. In a second, prospective dataset, the model detected 100% of 26 episodes with a median AFT of 22 min. In conclusion, episodes of hypotension were common during VPI in the ICU. A logistic regression model using BP temporal trend features predicted the episodes before their onset. |
format | Online Article Text |
id | pubmed-5561088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55610882017-08-18 Hypotension in ICU Patients Receiving Vasopressor Therapy Yapps, Bryce Shin, Sungtae Bighamian, Ramin Thorsen, Jill Arsenault, Colleen Quraishi, Sadeq A. Hahn, Jin-Oh Reisner, Andrew T. Sci Rep Article Vasopressor infusion (VPI) is used to treat hypotension in an ICU. We studied compliance with blood pressure (BP) goals during VPI and whether a statistical model might be efficacious for advance warning of impending hypotension, compared with a basic hypotension threshold alert. Retrospective data were obtained from a public database. Studying adult ICU patients receiving VPI at submaximal dosages, we analyzed characteristics of sustained hypotension episodes (>15 min) and then developed a logistic regression model to predict hypotension episodes using input features related to BP trends. The model was then validated with prospective data. In the retrospective dataset, 102-of-215 ICU stays experienced >1 hypotension episode (median of 2.5 episodes per day in this subgroup). When trained with 75% of retrospective dataset, testing with the remaining 25% of the dataset showed that the model and the threshold alert detected 99.6% and 100% of the episodes, respectively, with median advance forecast times (AFT) of 12 and 0 min. In a second, prospective dataset, the model detected 100% of 26 episodes with a median AFT of 22 min. In conclusion, episodes of hypotension were common during VPI in the ICU. A logistic regression model using BP temporal trend features predicted the episodes before their onset. Nature Publishing Group UK 2017-08-17 /pmc/articles/PMC5561088/ /pubmed/28819101 http://dx.doi.org/10.1038/s41598-017-08137-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yapps, Bryce Shin, Sungtae Bighamian, Ramin Thorsen, Jill Arsenault, Colleen Quraishi, Sadeq A. Hahn, Jin-Oh Reisner, Andrew T. Hypotension in ICU Patients Receiving Vasopressor Therapy |
title | Hypotension in ICU Patients Receiving Vasopressor Therapy |
title_full | Hypotension in ICU Patients Receiving Vasopressor Therapy |
title_fullStr | Hypotension in ICU Patients Receiving Vasopressor Therapy |
title_full_unstemmed | Hypotension in ICU Patients Receiving Vasopressor Therapy |
title_short | Hypotension in ICU Patients Receiving Vasopressor Therapy |
title_sort | hypotension in icu patients receiving vasopressor therapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561088/ https://www.ncbi.nlm.nih.gov/pubmed/28819101 http://dx.doi.org/10.1038/s41598-017-08137-0 |
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