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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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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.
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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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