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A model based on electronic health records to predict transfusion events in on-pump cardiac surgery
Perioperative blood transfusion is costly and raises safety concerns. We developed and validated a model for predicting minor, moderate, or major transfusion given to patients during on-pump cardiac procedures based on two centers’ database. Model performance incorporating 7 variables on the develop...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514444/ https://www.ncbi.nlm.nih.gov/pubmed/37744030 http://dx.doi.org/10.1016/j.isci.2023.107798 |
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author | Chen, Dong Xu Wang, Yi Shun Yan, Min Du, Lei Li, Qian |
author_facet | Chen, Dong Xu Wang, Yi Shun Yan, Min Du, Lei Li, Qian |
author_sort | Chen, Dong Xu |
collection | PubMed |
description | Perioperative blood transfusion is costly and raises safety concerns. We developed and validated a model for predicting minor, moderate, or major transfusion given to patients during on-pump cardiac procedures based on two centers’ database. Model performance incorporating 7 variables on the development set had an AUC of 0.803 [95% CI, 0.790–0.815] for minor transfusion; moderate transfusion, giving an AUC of 0.822 (95% CI, 0.803–0.841); and major transfusion, giving an AUC of 0.813 (95% CI, 0.759–0.866). Model performance on the validation set had an AUC of 0.739 (95% CI 0.714–0.765), 0.730 (95% CI 0.702–0.758), and 0.713 (95% CI 0.677–0.749), respectively. A model based entirely on readily available electronic health records can accurately predict intraoperative minor, moderate, or major transfusion and provide individualized transfusion risk profiles before surgery among those on-pump cardiac surgical patients, and may help guide patient management. |
format | Online Article Text |
id | pubmed-10514444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105144442023-09-23 A model based on electronic health records to predict transfusion events in on-pump cardiac surgery Chen, Dong Xu Wang, Yi Shun Yan, Min Du, Lei Li, Qian iScience Article Perioperative blood transfusion is costly and raises safety concerns. We developed and validated a model for predicting minor, moderate, or major transfusion given to patients during on-pump cardiac procedures based on two centers’ database. Model performance incorporating 7 variables on the development set had an AUC of 0.803 [95% CI, 0.790–0.815] for minor transfusion; moderate transfusion, giving an AUC of 0.822 (95% CI, 0.803–0.841); and major transfusion, giving an AUC of 0.813 (95% CI, 0.759–0.866). Model performance on the validation set had an AUC of 0.739 (95% CI 0.714–0.765), 0.730 (95% CI 0.702–0.758), and 0.713 (95% CI 0.677–0.749), respectively. A model based entirely on readily available electronic health records can accurately predict intraoperative minor, moderate, or major transfusion and provide individualized transfusion risk profiles before surgery among those on-pump cardiac surgical patients, and may help guide patient management. Elsevier 2023-09-01 /pmc/articles/PMC10514444/ /pubmed/37744030 http://dx.doi.org/10.1016/j.isci.2023.107798 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Dong Xu Wang, Yi Shun Yan, Min Du, Lei Li, Qian A model based on electronic health records to predict transfusion events in on-pump cardiac surgery |
title | A model based on electronic health records to predict transfusion events in on-pump cardiac surgery |
title_full | A model based on electronic health records to predict transfusion events in on-pump cardiac surgery |
title_fullStr | A model based on electronic health records to predict transfusion events in on-pump cardiac surgery |
title_full_unstemmed | A model based on electronic health records to predict transfusion events in on-pump cardiac surgery |
title_short | A model based on electronic health records to predict transfusion events in on-pump cardiac surgery |
title_sort | model based on electronic health records to predict transfusion events in on-pump cardiac surgery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514444/ https://www.ncbi.nlm.nih.gov/pubmed/37744030 http://dx.doi.org/10.1016/j.isci.2023.107798 |
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