Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients

Davies, Gareth; Stanford, Sophia; Lawrence, Matthew; Gill, D; Williams, Rhodri; Morris, K; Thomas, D; Evans, Adrian

doi:10.1186/cc11037

Journal article 1194 views

Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients

Gareth Davies

, Sophia Stanford, Matthew Lawrence, D Gill, Rhodri Williams

, K Morris, D Thomas, Adrian Evans

Critical Care, Volume: 16, Issue: S1, Start page: P430

Swansea University Authors: Gareth Davies , Sophia Stanford, Matthew Lawrence, Rhodri Williams , Adrian Evans

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DOI (Published version): 10.1186/cc11037

Abstract

IntroductionRecent research [1] has highlighted a novel new biomarker of haemostasis: the fractal dimension (Df). This new biomarker relates the kinetics of clot formation to clot outcome in whole blood and allows us to quantify the complexity of the fibrin network microstructure which is believed t...

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Published in:	Critical Care
ISSN:	1364-8535
Published:	Springer Science and Business Media LLC 2012
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa20027
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This new biomarker relates the kinetics of clot formation to clot outcome in whole blood and allows us to quantify the complexity of the fibrin network microstructure which is believed to be the template for development of the mature clot. It is well established that abnormalities in haemostasis contribute to the pathogenicity of critical illness [2]. This prospective study aims to assess the effect of critical illness on clot structure and monitor the sensitivity of Df to therapeutic intervention.MethodsPatients with critical illness inducing SIRS were recruited on admission to the intensive therapy unit in a large teaching hospital in Wales. Blood was taken for routine coagulation testing, ROTEM thromboelastometry and rheological analysis (Df and Tgel) on admission, at 6 hours and 24 hours to assess pathophysiological state and progression. Twelve patients were recruited: nine severe sepsis and three severe DKA with metabolic disorder. Twelve healthy volunteers were recruited as a matched control.ResultsMean Df in the control group was 1.73 ± 0.03 whereas mean Df in DKA and sepsis was found to be 1.77 ± 0.07 and 1.65 ± 0.05 respectively. Marked differences were observed in Df and maximum clot firmness (MCF) in response to treatment intervention (Figure 1). Furthermore, patients saw a dramatic decrease in Df post enoxaparin, but no significant change in MCF was observed (Table 1).ConclusionDf shows specificity between severe DKA and sepsis. Df shows sensitivity to treatment intervention and illness progression in the critically ill</abstract><type>Journal Article</type><journal>Critical Care</journal><volume>16</volume><journalNumber>S1</journalNumber><paginationStart>P430</paginationStart><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>1364-8535</issnElectronic><keywords>Fractal Dimension; Severe Sepsis; Enoxaparin; Critical Illness; Treatment Intervention</keywords><publishedDay>20</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2012</publishedYear><publishedDate>2012-03-20</publishedDate><doi>10.1186/cc11037</doi><url/><notes/><college>COLLEGE NANME</college><department>Biomedical Sciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BMS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-11-02T16:52:32.8017075</lastEdited><Created>2015-01-21T15:51:59.1187534</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Gareth</firstname><surname>Davies</surname><orcid>0000-0002-0863-9234</orcid><order>1</order></author><author><firstname>Sophia</firstname><surname>Stanford</surname><order>2</order></author><author><firstname>Matthew</firstname><surname>Lawrence</surname><order>3</order></author><author><firstname>D</firstname><surname>Gill</surname><order>4</order></author><author><firstname>Rhodri</firstname><surname>Williams</surname><orcid>0000-0002-6912-5288</orcid><order>5</order></author><author><firstname>K</firstname><surname>Morris</surname><order>6</order></author><author><firstname>D</firstname><surname>Thomas</surname><order>7</order></author><author><firstname>Adrian</firstname><surname>Evans</surname><orcid>0000-0002-0814-5162</orcid><order>8</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling	2022-11-02T16:52:32.8017075 v2 20027 2015-01-21 Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients 3959a373060151515e05594d4cbcd6b1 0000-0002-0863-9234 Gareth Davies Gareth Davies true false 218ce0a50952db5f4f96062e680603fa Sophia Stanford Sophia Stanford true false 262d0cae7663ded863d6e2de15757f3c Matthew Lawrence Matthew Lawrence true false 642bf793695f412ed932f1ea4d9bc3f1 0000-0002-6912-5288 Rhodri Williams Rhodri Williams true false 21761f6eb805546a561c9f036e85405b 0000-0002-0814-5162 Adrian Evans Adrian Evans true false 2015-01-21 BMS IntroductionRecent research [1] has highlighted a novel new biomarker of haemostasis: the fractal dimension (Df). This new biomarker relates the kinetics of clot formation to clot outcome in whole blood and allows us to quantify the complexity of the fibrin network microstructure which is believed to be the template for development of the mature clot. It is well established that abnormalities in haemostasis contribute to the pathogenicity of critical illness [2]. This prospective study aims to assess the effect of critical illness on clot structure and monitor the sensitivity of Df to therapeutic intervention.MethodsPatients with critical illness inducing SIRS were recruited on admission to the intensive therapy unit in a large teaching hospital in Wales. Blood was taken for routine coagulation testing, ROTEM thromboelastometry and rheological analysis (Df and Tgel) on admission, at 6 hours and 24 hours to assess pathophysiological state and progression. Twelve patients were recruited: nine severe sepsis and three severe DKA with metabolic disorder. Twelve healthy volunteers were recruited as a matched control.ResultsMean Df in the control group was 1.73 ± 0.03 whereas mean Df in DKA and sepsis was found to be 1.77 ± 0.07 and 1.65 ± 0.05 respectively. Marked differences were observed in Df and maximum clot firmness (MCF) in response to treatment intervention (Figure 1). Furthermore, patients saw a dramatic decrease in Df post enoxaparin, but no significant change in MCF was observed (Table 1).ConclusionDf shows specificity between severe DKA and sepsis. Df shows sensitivity to treatment intervention and illness progression in the critically ill Journal Article Critical Care 16 S1 P430 Springer Science and Business Media LLC 1364-8535 Fractal Dimension; Severe Sepsis; Enoxaparin; Critical Illness; Treatment Intervention 20 3 2012 2012-03-20 10.1186/cc11037 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2022-11-02T16:52:32.8017075 2015-01-21T15:51:59.1187534 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Gareth Davies 0000-0002-0863-9234 1 Sophia Stanford 2 Matthew Lawrence 3 D Gill 4 Rhodri Williams 0000-0002-6912-5288 5 K Morris 6 D Thomas 7 Adrian Evans 0000-0002-0814-5162 8
title	Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients
spellingShingle	Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients Gareth Davies Sophia Stanford Matthew Lawrence Rhodri Williams Adrian Evans
title_short	Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients
title_full	Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients
title_fullStr	Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients
title_full_unstemmed	Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients
title_sort	Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients
author_id_str_mv	3959a373060151515e05594d4cbcd6b1 218ce0a50952db5f4f96062e680603fa 262d0cae7663ded863d6e2de15757f3c 642bf793695f412ed932f1ea4d9bc3f1 21761f6eb805546a561c9f036e85405b
author_id_fullname_str_mv	3959a373060151515e05594d4cbcd6b1_*_Gareth Davies 218ce0a50952db5f4f96062e680603fa__Sophia Stanford 262d0cae7663ded863d6e2de15757f3c__Matthew Lawrence 642bf793695f412ed932f1ea4d9bc3f1__Rhodri Williams 21761f6eb805546a561c9f036e85405b_**_Adrian Evans
author	Gareth Davies Sophia Stanford Matthew Lawrence Rhodri Williams Adrian Evans
author2	Gareth Davies Sophia Stanford Matthew Lawrence D Gill Rhodri Williams K Morris D Thomas Adrian Evans
format	Journal article
container_title	Critical Care
container_volume	16
container_issue	S1
container_start_page	P430
publishDate	2012
institution	Swansea University
issn	1364-8535
doi_str_mv	10.1186/cc11037
publisher	Springer Science and Business Media LLC
college_str	Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id	facultyofmedicinehealthandlifesciences
hierarchy_top_title	Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id	facultyofmedicinehealthandlifesciences
hierarchy_parent_title	Faculty of Medicine, Health and Life Sciences
department_str	Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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description	IntroductionRecent research [1] has highlighted a novel new biomarker of haemostasis: the fractal dimension (Df). This new biomarker relates the kinetics of clot formation to clot outcome in whole blood and allows us to quantify the complexity of the fibrin network microstructure which is believed to be the template for development of the mature clot. It is well established that abnormalities in haemostasis contribute to the pathogenicity of critical illness [2]. This prospective study aims to assess the effect of critical illness on clot structure and monitor the sensitivity of Df to therapeutic intervention.MethodsPatients with critical illness inducing SIRS were recruited on admission to the intensive therapy unit in a large teaching hospital in Wales. Blood was taken for routine coagulation testing, ROTEM thromboelastometry and rheological analysis (Df and Tgel) on admission, at 6 hours and 24 hours to assess pathophysiological state and progression. Twelve patients were recruited: nine severe sepsis and three severe DKA with metabolic disorder. Twelve healthy volunteers were recruited as a matched control.ResultsMean Df in the control group was 1.73 ± 0.03 whereas mean Df in DKA and sepsis was found to be 1.77 ± 0.07 and 1.65 ± 0.05 respectively. Marked differences were observed in Df and maximum clot firmness (MCF) in response to treatment intervention (Figure 1). Furthermore, patients saw a dramatic decrease in Df post enoxaparin, but no significant change in MCF was observed (Table 1).ConclusionDf shows specificity between severe DKA and sepsis. Df shows sensitivity to treatment intervention and illness progression in the critically ill
published_date	2012-03-20T03:23:36Z
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score	11.012678

Fractal analysis: a new biomarker for determining clot characteristics in critically ill patients

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