{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T21:23:53Z","timestamp":1793395433751,"version":"4.5.0"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T00:00:00Z","timestamp":1598313600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T00:00:00Z","timestamp":1598313600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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\u2009=\u2009101) had longer aPTT than controls (n\u2009=\u2009112) (34.37\u2009\u00b1\u20097.72\u00a0s vs 27.80\u2009\u00b1\u20091.59\u00a0s, p\u2009&lt;\u20090.001), with the mean (\u00b1\u2009SD) aPTT longest in dengue infection (n\u2009=\u200936) (37.99\u2009\u00b1\u20097.93\u00a0s), followed by bacterial infection (n\u2009=\u200952) (33.96\u2009\u00b1\u20097.33\u00a0s) and respiratory viral infection (n\u2009=\u200913) (29.98\u2009\u00b1\u20093.92\u00a0s). Compared to controls\u00a0(min1; min2; max2) (5.53\u2009\u00b1\u20091.16%\/s; 0.89\u2009\u00b1\u20090.19%\/s<jats:sup>2<\/jats:sup>; 0.74\u2009\u00b1\u20090.16%\/s<jats:sup>2<\/jats:sup>), bacterial infection has higher CWA results (6.92\u2009\u00b1\u20091.60%\/s; 1.04\u2009\u00b1\u20090.28%\/s<jats:sup>2<\/jats:sup>; 0.82\u2009\u00b1\u20090.24%\/s<jats:sup>2<\/jats:sup>, all p\u2009&lt;\u20090.05); dengue infection has significantly lower CWA values (3.93\u2009\u00b1\u20091.32%\/s; 0.57\u2009\u00b1\u20090.17%\/s<jats:sup>2<\/jats:sup>; 0.43\u2009\u00b1\u20090.14%\/s<jats:sup>2<\/jats:sup>, all p\u2009&lt;\u20090.001) whilst respiratory virus infection has similar results (6.19\u2009\u00b1\u20091.32%\/s; 0.95\u2009\u00b1\u20090.21%\/s<jats:sup>2<\/jats:sup>; 0.73\u2009\u00b1\u20090.18%\/s<jats:sup>2<\/jats:sup>, all p\u2009&gt;\u20090.05). CWA parameters demonstrated positive correlation with C-reactive protein levels (min1: r\u2009=\u20090.54, min2: r\u2009=\u20090.44, max2: r\u2009=\u20090.34; all p\u2009&lt;\u20090.01). 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.<\/jats:p>","DOI":"10.1038\/s41598-020-71063-1","type":"journal-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T10:04:04Z","timestamp":1598349844000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Assessment of aPTT-based clot waveform analysis for the detection of haemostatic changes in different types of infections"],"prefix":"10.1038","volume":"10","author":[{"given":"Chuen Wen","family":"Tan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wan Hui","family":"Wong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"McVin Hua Heng","family":"Cheen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yvonne Miao Hui","family":"Chu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan Shan","family":"Lim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lawrence Cheng Kiat","family":"Ng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dillon Guo Dong","family":"Yeo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gayathry","family":"Morvil","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lai Heng","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng Joo","family":"Ng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,8,25]]},"reference":[{"key":"71063_CR1","first-page":"114","volume":"70","author":"M Levi","year":"2012","unstructured":"Levi, M., van der Poll, T. & Schultz, M. 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