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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...

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Detalles Bibliográficos
Autores principales: Chen, Dong Xu, Wang, Yi Shun, Yan, Min, Du, Lei, Li, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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