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Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections
Infections cause varying degrees of haemostatic dysfunction which can be detected by clot waveform analysis (CWA), a global haemostatic marker. CWA has been shown to predict poor outcomes in severe infections with disseminated intravascular coagulopathy. The effect of less severe bacterial and viral...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447776/ https://www.ncbi.nlm.nih.gov/pubmed/32843693 http://dx.doi.org/10.1038/s41598-020-71063-1 |
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author | Tan, Chuen Wen Wong, Wan Hui Cheen, McVin Hua Heng Chu, Yvonne Miao Hui Lim, Shan Shan Ng, Lawrence Cheng Kiat Yeo, Dillon Guo Dong Morvil, Gayathry Lee, Lai Heng Ng, Heng Joo |
author_facet | Tan, Chuen Wen Wong, Wan Hui Cheen, McVin Hua Heng Chu, Yvonne Miao Hui Lim, Shan Shan Ng, Lawrence Cheng Kiat Yeo, Dillon Guo Dong Morvil, Gayathry Lee, Lai Heng Ng, Heng Joo |
author_sort | Tan, Chuen Wen |
collection | PubMed |
description | Infections cause varying degrees of haemostatic dysfunction which can be detected by clot waveform analysis (CWA), a global haemostatic marker. CWA has been shown to predict poor outcomes in severe infections with disseminated intravascular coagulopathy. The effect of less severe bacterial and viral infections on CWA has not been established. We hypothesized that different infections influence CWA distinctively. Patients admitted with bacterial infections, dengue and upper respiratory tract viral infections were recruited if they had an activated partial thromboplastin time (aPTT) measured on admission. APTT-based CWA was performed on Sysmex CS2100i automated analyser using Dade Actin FSL reagent. CWA parameters [(maximum velocity (min1), maximum acceleration (min2) and maximum deceleration (max2)] were compared against control patients. Infected patients (n = 101) had longer aPTT than controls (n = 112) (34.37 ± 7.72 s vs 27.80 ± 1.59 s, p < 0.001), with the mean (± SD) aPTT longest in dengue infection (n = 36) (37.99 ± 7.93 s), followed by bacterial infection (n = 52) (33.96 ± 7.33 s) and respiratory viral infection (n = 13) (29.98 ± 3.92 s). Compared to controls (min1; min2; max2) (5.53 ± 1.16%/s; 0.89 ± 0.19%/s(2); 0.74 ± 0.16%/s(2)), bacterial infection has higher CWA results (6.92 ± 1.60%/s; 1.04 ± 0.28%/s(2); 0.82 ± 0.24%/s(2), all p < 0.05); dengue infection has significantly lower CWA values (3.93 ± 1.32%/s; 0.57 ± 0.17%/s(2); 0.43 ± 0.14%/s(2), all p < 0.001) whilst respiratory virus infection has similar results (6.19 ± 1.32%/s; 0.95 ± 0.21%/s(2); 0.73 ± 0.18%/s(2), all p > 0.05). CWA parameters demonstrated positive correlation with C-reactive protein levels (min1: r = 0.54, min2: r = 0.44, max2: r = 0.34; all p < 0.01). Different infections affect CWA distinctively. CWA could provide information on the haemostatic milieu triggered by infection and further studies are needed to better define its application in this area. |
format | Online Article Text |
id | pubmed-7447776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74477762020-08-26 Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections Tan, Chuen Wen Wong, Wan Hui Cheen, McVin Hua Heng Chu, Yvonne Miao Hui Lim, Shan Shan Ng, Lawrence Cheng Kiat Yeo, Dillon Guo Dong Morvil, Gayathry Lee, Lai Heng Ng, Heng Joo Sci Rep Article Infections cause varying degrees of haemostatic dysfunction which can be detected by clot waveform analysis (CWA), a global haemostatic marker. CWA has been shown to predict poor outcomes in severe infections with disseminated intravascular coagulopathy. The effect of less severe bacterial and viral infections on CWA has not been established. We hypothesized that different infections influence CWA distinctively. Patients admitted with bacterial infections, dengue and upper respiratory tract viral infections were recruited if they had an activated partial thromboplastin time (aPTT) measured on admission. APTT-based CWA was performed on Sysmex CS2100i automated analyser using Dade Actin FSL reagent. CWA parameters [(maximum velocity (min1), maximum acceleration (min2) and maximum deceleration (max2)] were compared against control patients. Infected patients (n = 101) had longer aPTT than controls (n = 112) (34.37 ± 7.72 s vs 27.80 ± 1.59 s, p < 0.001), with the mean (± SD) aPTT longest in dengue infection (n = 36) (37.99 ± 7.93 s), followed by bacterial infection (n = 52) (33.96 ± 7.33 s) and respiratory viral infection (n = 13) (29.98 ± 3.92 s). Compared to controls (min1; min2; max2) (5.53 ± 1.16%/s; 0.89 ± 0.19%/s(2); 0.74 ± 0.16%/s(2)), bacterial infection has higher CWA results (6.92 ± 1.60%/s; 1.04 ± 0.28%/s(2); 0.82 ± 0.24%/s(2), all p < 0.05); dengue infection has significantly lower CWA values (3.93 ± 1.32%/s; 0.57 ± 0.17%/s(2); 0.43 ± 0.14%/s(2), all p < 0.001) whilst respiratory virus infection has similar results (6.19 ± 1.32%/s; 0.95 ± 0.21%/s(2); 0.73 ± 0.18%/s(2), all p > 0.05). CWA parameters demonstrated positive correlation with C-reactive protein levels (min1: r = 0.54, min2: r = 0.44, max2: r = 0.34; all p < 0.01). Different infections affect CWA distinctively. CWA could provide information on the haemostatic milieu triggered by infection and further studies are needed to better define its application in this area. Nature Publishing Group UK 2020-08-25 /pmc/articles/PMC7447776/ /pubmed/32843693 http://dx.doi.org/10.1038/s41598-020-71063-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tan, Chuen Wen Wong, Wan Hui Cheen, McVin Hua Heng Chu, Yvonne Miao Hui Lim, Shan Shan Ng, Lawrence Cheng Kiat Yeo, Dillon Guo Dong Morvil, Gayathry Lee, Lai Heng Ng, Heng Joo Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections |
title | Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections |
title_full | Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections |
title_fullStr | Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections |
title_full_unstemmed | Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections |
title_short | Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections |
title_sort | assessment of aptt-based clot waveform analysis for the detection of haemostatic changes in different types of infections |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447776/ https://www.ncbi.nlm.nih.gov/pubmed/32843693 http://dx.doi.org/10.1038/s41598-020-71063-1 |
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