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Thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method

OBJECTIVE: There are no reports from Japan showing the effects of using the thromboelastography algorithm on transfusion requirements after Intensive Care Unit (ICU) admission, and post-implementation knowledge regarding the thromboelastography algorithm under the Japanese healthcare system is insuf...

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Autores principales: Tamura, Takahiro, Suzuki, Shogo, Fujii, Tasuku, Hirai, Takahiro, Imaizumi, Takahiro, Kubo, Yoko, Shibata, Yasuyuki, Narita, Yuji, Mutsuga, Masato, Nishiwaki, Kimitoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180616/
https://www.ncbi.nlm.nih.gov/pubmed/37173610
http://dx.doi.org/10.1007/s11748-023-01941-8
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author Tamura, Takahiro
Suzuki, Shogo
Fujii, Tasuku
Hirai, Takahiro
Imaizumi, Takahiro
Kubo, Yoko
Shibata, Yasuyuki
Narita, Yuji
Mutsuga, Masato
Nishiwaki, Kimitoshi
author_facet Tamura, Takahiro
Suzuki, Shogo
Fujii, Tasuku
Hirai, Takahiro
Imaizumi, Takahiro
Kubo, Yoko
Shibata, Yasuyuki
Narita, Yuji
Mutsuga, Masato
Nishiwaki, Kimitoshi
author_sort Tamura, Takahiro
collection PubMed
description OBJECTIVE: There are no reports from Japan showing the effects of using the thromboelastography algorithm on transfusion requirements after Intensive Care Unit (ICU) admission, and post-implementation knowledge regarding the thromboelastography algorithm under the Japanese healthcare system is insufficient. Therefore, this study aimed to clarify the effect of the TEG6s thromboelastography algorithm on transfusion requirements for patients in the ICU after cardiac surgery. METHODS: We retrospectively compared the requirements for blood transfusion up to 24 h after ICU admission using the thromboelastography algorithm (January 2021 to April 2022) (thromboelastography group; n = 201) and specialist consultation with surgeons and anesthesiologists (January 2018 to December 2020) (non-thromboelastography group; n = 494). RESULTS: There were no significant between-group differences in terms of age, height, weight, body mass index, operative procedure, duration of surgery or cardiopulmonary bypass, body temperature, or urine volume during surgical intervention. Moreover, there was no significant between-group difference in the amount of drainage at 24 h after ICU admission. However, crystalloid and urine volumes were significantly higher in the thromboelastography group than in the non-thromboelastography group. Additionally, fresh-frozen plasma (FFP) transfusion volumes were significantly lower in the thromboelastography group. However, there were no significant between-group differences in red blood cell count or platelet transfusion volume. After variable adjustment, the amount of FFP used from the operating room to 24 h after ICU admission was significantly reduced in the thromboelastography group. CONCLUSIONS: The thromboelastography algorithm optimized transfusion requirements at 24 h after admission to the ICU following cardiac surgery. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11748-023-01941-8.
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spelling pubmed-101806162023-05-14 Thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method Tamura, Takahiro Suzuki, Shogo Fujii, Tasuku Hirai, Takahiro Imaizumi, Takahiro Kubo, Yoko Shibata, Yasuyuki Narita, Yuji Mutsuga, Masato Nishiwaki, Kimitoshi Gen Thorac Cardiovasc Surg Original Article OBJECTIVE: There are no reports from Japan showing the effects of using the thromboelastography algorithm on transfusion requirements after Intensive Care Unit (ICU) admission, and post-implementation knowledge regarding the thromboelastography algorithm under the Japanese healthcare system is insufficient. Therefore, this study aimed to clarify the effect of the TEG6s thromboelastography algorithm on transfusion requirements for patients in the ICU after cardiac surgery. METHODS: We retrospectively compared the requirements for blood transfusion up to 24 h after ICU admission using the thromboelastography algorithm (January 2021 to April 2022) (thromboelastography group; n = 201) and specialist consultation with surgeons and anesthesiologists (January 2018 to December 2020) (non-thromboelastography group; n = 494). RESULTS: There were no significant between-group differences in terms of age, height, weight, body mass index, operative procedure, duration of surgery or cardiopulmonary bypass, body temperature, or urine volume during surgical intervention. Moreover, there was no significant between-group difference in the amount of drainage at 24 h after ICU admission. However, crystalloid and urine volumes were significantly higher in the thromboelastography group than in the non-thromboelastography group. Additionally, fresh-frozen plasma (FFP) transfusion volumes were significantly lower in the thromboelastography group. However, there were no significant between-group differences in red blood cell count or platelet transfusion volume. After variable adjustment, the amount of FFP used from the operating room to 24 h after ICU admission was significantly reduced in the thromboelastography group. CONCLUSIONS: The thromboelastography algorithm optimized transfusion requirements at 24 h after admission to the ICU following cardiac surgery. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11748-023-01941-8. Springer Nature Singapore 2023-05-12 /pmc/articles/PMC10180616/ /pubmed/37173610 http://dx.doi.org/10.1007/s11748-023-01941-8 Text en © The Author(s), under exclusive licence to The Japanese Association for Thoracic Surgery 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Tamura, Takahiro
Suzuki, Shogo
Fujii, Tasuku
Hirai, Takahiro
Imaizumi, Takahiro
Kubo, Yoko
Shibata, Yasuyuki
Narita, Yuji
Mutsuga, Masato
Nishiwaki, Kimitoshi
Thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method
title Thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method
title_full Thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method
title_fullStr Thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method
title_full_unstemmed Thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method
title_short Thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method
title_sort thromboelastographic evaluation after cardiac surgery optimizes transfusion requirements in the intensive care unit: a single-center retrospective cohort study using an inverse probability weighting method
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180616/
https://www.ncbi.nlm.nih.gov/pubmed/37173610
http://dx.doi.org/10.1007/s11748-023-01941-8
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