Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical Illness

In this retrospective study, we aimed to identify the risk factors for bleeding in patients after critical illness during edoxaban treatment. Data from patients who received edoxaban after critical illness at the Emergency Department at a tertiary care hospital were obtained from the hospital medica...

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Main Authors: Ryusei Mikami, Mineji Hayakawa, Shungo Imai, Kunihiko Maekawa, Kojiro Yamazaki, Mitsuru Sugawara, Yoh Takekuma
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/12/3/860
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author Ryusei Mikami
Mineji Hayakawa
Shungo Imai
Kunihiko Maekawa
Kojiro Yamazaki
Mitsuru Sugawara
Yoh Takekuma
author_facet Ryusei Mikami
Mineji Hayakawa
Shungo Imai
Kunihiko Maekawa
Kojiro Yamazaki
Mitsuru Sugawara
Yoh Takekuma
author_sort Ryusei Mikami
collection DOAJ
description In this retrospective study, we aimed to identify the risk factors for bleeding in patients after critical illness during edoxaban treatment. Data from patients who received edoxaban after critical illness at the Emergency Department at a tertiary care hospital were obtained from the hospital medical records. Multivariate analysis revealed the risk factors for edoxaban-associated bleeding. Additionally, we developed an edoxaban-associated bleeding score (EAB score) based on these results. The derived EAB score was compared with the HAS-BLED score using receiver operating characteristic (ROC) curve analysis. Bleeding was observed in 42 of 114 patients (36.8%). We identified the following bleeding predictors (odds ratios, 95% confidence interval, score points) using multivariate analysis: concomitant use of antiplatelet agents (6.759, 2.047–22.32, 2 points), concomitant use of P-glycoprotein inhibitors (3.825, 1.484–9.856, 1 point), prothrombin time (PT)% following edoxaban administration of <75% and ≥60% (2.507, 0.788–7.970, 1 point), and PT% following edoxaban administration of <60% (11.23, 3.560–35.42, 3 points). The ROC curve analysis revealed an area under the curve of 0.826 for the EAB score and 0.625 for the HAS-BLED score. Under appropriate edoxaban dosing regimens in patients after critical illness, a combination of antiplatelet agents, P-gp inhibitors, and a low PT% following edoxaban administration were identified as strong risk factors for bleeding.
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spelling doaj.art-2b1a4da89d364722bb7a311326c6352b2023-11-16T17:08:14ZengMDPI AGJournal of Clinical Medicine2077-03832023-01-0112386010.3390/jcm12030860Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical IllnessRyusei Mikami0Mineji Hayakawa1Shungo Imai2Kunihiko Maekawa3Kojiro Yamazaki4Mitsuru Sugawara5Yoh Takekuma6Department of Pharmacy, Hokkaido University Hospital, Sapporo 060-8648, JapanDepartment of Emergency Medicine, Hokkaido University Hospital, Sapporo 060-8648, JapanFaculty of Pharmacy, Keio University, Tokyo 105-8512, JapanDepartment of Emergency Medicine, Hokkaido University Hospital, Sapporo 060-8648, JapanDepartment of Pharmacy, Hokkaido University Hospital, Sapporo 060-8648, JapanFaculty of Pharmaceutical Sciences, Hokkaido University, Sapporo 060-0812, JapanDepartment of Pharmacy, Hokkaido University Hospital, Sapporo 060-8648, JapanIn this retrospective study, we aimed to identify the risk factors for bleeding in patients after critical illness during edoxaban treatment. Data from patients who received edoxaban after critical illness at the Emergency Department at a tertiary care hospital were obtained from the hospital medical records. Multivariate analysis revealed the risk factors for edoxaban-associated bleeding. Additionally, we developed an edoxaban-associated bleeding score (EAB score) based on these results. The derived EAB score was compared with the HAS-BLED score using receiver operating characteristic (ROC) curve analysis. Bleeding was observed in 42 of 114 patients (36.8%). We identified the following bleeding predictors (odds ratios, 95% confidence interval, score points) using multivariate analysis: concomitant use of antiplatelet agents (6.759, 2.047–22.32, 2 points), concomitant use of P-glycoprotein inhibitors (3.825, 1.484–9.856, 1 point), prothrombin time (PT)% following edoxaban administration of <75% and ≥60% (2.507, 0.788–7.970, 1 point), and PT% following edoxaban administration of <60% (11.23, 3.560–35.42, 3 points). The ROC curve analysis revealed an area under the curve of 0.826 for the EAB score and 0.625 for the HAS-BLED score. Under appropriate edoxaban dosing regimens in patients after critical illness, a combination of antiplatelet agents, P-gp inhibitors, and a low PT% following edoxaban administration were identified as strong risk factors for bleeding.https://www.mdpi.com/2077-0383/12/3/860critical illnessanticoagulantedoxabanbleeding score
spellingShingle Ryusei Mikami
Mineji Hayakawa
Shungo Imai
Kunihiko Maekawa
Kojiro Yamazaki
Mitsuru Sugawara
Yoh Takekuma
Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical Illness
Journal of Clinical Medicine
critical illness
anticoagulant
edoxaban
bleeding score
title Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical Illness
title_full Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical Illness
title_fullStr Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical Illness
title_full_unstemmed Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical Illness
title_short Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical Illness
title_sort prediction and implications of edoxaban associated bleeding in patients after critical illness
topic critical illness
anticoagulant
edoxaban
bleeding score
url https://www.mdpi.com/2077-0383/12/3/860
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