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The First-Derivative Curve of the Coagulation Waveform Reveals the Cause of aPTT Prolongation
Clot waveform analysis based on activated partial thromboplastin time (aPTT) is reported to be a useful assay. We attempted to find beneficial parameters with the first-derivative curve. We examined 106 plasma samples with prolonged aPTT and analyzed the first-derivative curve statistically by divid...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783875/ https://www.ncbi.nlm.nih.gov/pubmed/33372824 http://dx.doi.org/10.1177/1076029620978810 |
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author | Shimomura, Daiki Matsumoto, Tomoko Sugimoto, Kana Takata, Tokio Kouno, Aya Shimada, Masashi Matsuo, Shuji Kamioka, Mikio |
author_facet | Shimomura, Daiki Matsumoto, Tomoko Sugimoto, Kana Takata, Tokio Kouno, Aya Shimada, Masashi Matsuo, Shuji Kamioka, Mikio |
author_sort | Shimomura, Daiki |
collection | PubMed |
description | Clot waveform analysis based on activated partial thromboplastin time (aPTT) is reported to be a useful assay. We attempted to find beneficial parameters with the first-derivative curve. We examined 106 plasma samples with prolonged aPTT and analyzed the first-derivative curve statistically by dividing it into 6 groups (Lupus anticoagulant, Heparin, Direct oral anticoagulants, Factor VIII inhibitor, Hepatic dysfunctions and Factor deficiency). We obtained 7 coordinates for parameter measurement by analyzing the first-derivative curve and set 20 parameters including the velocity axis, the time axis, and area parameters. The distribution was checked by extracting each parameter that showed the most significant difference in the 6 groups. As a result, it was revealed that we could classify aPTT prolongation by using a combination of 3 parameters, the initial-to-peak gradient, the ratio initial-to-intermediate velocity/intermediate-to-peak velocity, and the initial-to-peak area size. We constructed a flowchart combining these 3 parameters and were able to discriminate 75% of the specimens. These parameters derived from the first-derivative curve of clot waveform analysis are useful tools to discriminate aPTT prolongation. |
format | Online Article Text |
id | pubmed-7783875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77838752021-01-14 The First-Derivative Curve of the Coagulation Waveform Reveals the Cause of aPTT Prolongation Shimomura, Daiki Matsumoto, Tomoko Sugimoto, Kana Takata, Tokio Kouno, Aya Shimada, Masashi Matsuo, Shuji Kamioka, Mikio Clin Appl Thromb Hemost Original Article Clot waveform analysis based on activated partial thromboplastin time (aPTT) is reported to be a useful assay. We attempted to find beneficial parameters with the first-derivative curve. We examined 106 plasma samples with prolonged aPTT and analyzed the first-derivative curve statistically by dividing it into 6 groups (Lupus anticoagulant, Heparin, Direct oral anticoagulants, Factor VIII inhibitor, Hepatic dysfunctions and Factor deficiency). We obtained 7 coordinates for parameter measurement by analyzing the first-derivative curve and set 20 parameters including the velocity axis, the time axis, and area parameters. The distribution was checked by extracting each parameter that showed the most significant difference in the 6 groups. As a result, it was revealed that we could classify aPTT prolongation by using a combination of 3 parameters, the initial-to-peak gradient, the ratio initial-to-intermediate velocity/intermediate-to-peak velocity, and the initial-to-peak area size. We constructed a flowchart combining these 3 parameters and were able to discriminate 75% of the specimens. These parameters derived from the first-derivative curve of clot waveform analysis are useful tools to discriminate aPTT prolongation. SAGE Publications 2020-12-29 /pmc/articles/PMC7783875/ /pubmed/33372824 http://dx.doi.org/10.1177/1076029620978810 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Shimomura, Daiki Matsumoto, Tomoko Sugimoto, Kana Takata, Tokio Kouno, Aya Shimada, Masashi Matsuo, Shuji Kamioka, Mikio The First-Derivative Curve of the Coagulation Waveform Reveals the Cause of aPTT Prolongation |
title | The First-Derivative Curve of the Coagulation Waveform Reveals the
Cause of aPTT Prolongation |
title_full | The First-Derivative Curve of the Coagulation Waveform Reveals the
Cause of aPTT Prolongation |
title_fullStr | The First-Derivative Curve of the Coagulation Waveform Reveals the
Cause of aPTT Prolongation |
title_full_unstemmed | The First-Derivative Curve of the Coagulation Waveform Reveals the
Cause of aPTT Prolongation |
title_short | The First-Derivative Curve of the Coagulation Waveform Reveals the
Cause of aPTT Prolongation |
title_sort | first-derivative curve of the coagulation waveform reveals the
cause of aptt prolongation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783875/ https://www.ncbi.nlm.nih.gov/pubmed/33372824 http://dx.doi.org/10.1177/1076029620978810 |
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