Association between the outcome of traumatic brain injury patients and cerebrovascular autoregulation, cerebral perfusion pressure, age, and injury grades.
Identifieur interne : 000019 ( PubMed/Corpus ); précédent : 000018; suivant : 000020Association between the outcome of traumatic brain injury patients and cerebrovascular autoregulation, cerebral perfusion pressure, age, and injury grades.
Auteurs : Vytautas Petkus ; Solventa Krakauskait ; Aidanas Preikšaitis ; Saulius Ro Ka ; Romanas Chomskis ; Arminas RagauskasSource :
- Medicina (Kaunas, Lithuania) [ 1648-9144 ] ; 2016.
Abstract
The aim of this study was to explore the association of cerebrovascular autoregulation (CA) and optimal cerebral perfusion pressure (CPP) managing conditions with the outcome of traumatic brain injury (TBI) patients including additional information about the patients' age and grade of diffuse axonal injury (DAI).
DOI: 10.1016/j.medici.2016.01.004
PubMed: 26987500
Links to Exploration step
pubmed:26987500Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Association between the outcome of traumatic brain injury patients and cerebrovascular autoregulation, cerebral perfusion pressure, age, and injury grades.</title><author><name sortKey="Petkus, Vytautas" sort="Petkus, Vytautas" uniqKey="Petkus V" first="Vytautas" last="Petkus">Vytautas Petkus</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania. Electronic address: vytautas.petkus@ktu.lt.</nlm:affiliation></affiliation></author><author><name sortKey="Krakauskait, Solventa" sort="Krakauskait, Solventa" uniqKey="Krakauskait S" first="Solventa" last="Krakauskait">Solventa Krakauskait</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Preiksaitis, Aidanas" sort="Preiksaitis, Aidanas" uniqKey="Preiksaitis A" first="Aidanas" last="Preikšaitis">Aidanas Preikšaitis</name><affiliation><nlm:affiliation>Centre of Neuroangiosurgery, Clinic of Neurology and Neurosurgery, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Ro Ka, Saulius" sort="Ro Ka, Saulius" uniqKey="Ro Ka S" first="Saulius" last="Ro Ka">Saulius Ro Ka</name><affiliation><nlm:affiliation>Centre of Neuroangiosurgery, Clinic of Neurology and Neurosurgery, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Chomskis, Romanas" sort="Chomskis, Romanas" uniqKey="Chomskis R" first="Romanas" last="Chomskis">Romanas Chomskis</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Ragauskas, Arminas" sort="Ragauskas, Arminas" uniqKey="Ragauskas A" first="Arminas" last="Ragauskas">Arminas Ragauskas</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="doi">10.1016/j.medici.2016.01.004</idno><idno type="RBID">pubmed:26987500</idno><idno type="pmid">26987500</idno><idno type="wicri:Area/PubMed/Corpus">000019</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000019</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Association between the outcome of traumatic brain injury patients and cerebrovascular autoregulation, cerebral perfusion pressure, age, and injury grades.</title><author><name sortKey="Petkus, Vytautas" sort="Petkus, Vytautas" uniqKey="Petkus V" first="Vytautas" last="Petkus">Vytautas Petkus</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania. Electronic address: vytautas.petkus@ktu.lt.</nlm:affiliation></affiliation></author><author><name sortKey="Krakauskait, Solventa" sort="Krakauskait, Solventa" uniqKey="Krakauskait S" first="Solventa" last="Krakauskait">Solventa Krakauskait</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Preiksaitis, Aidanas" sort="Preiksaitis, Aidanas" uniqKey="Preiksaitis A" first="Aidanas" last="Preikšaitis">Aidanas Preikšaitis</name><affiliation><nlm:affiliation>Centre of Neuroangiosurgery, Clinic of Neurology and Neurosurgery, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Ro Ka, Saulius" sort="Ro Ka, Saulius" uniqKey="Ro Ka S" first="Saulius" last="Ro Ka">Saulius Ro Ka</name><affiliation><nlm:affiliation>Centre of Neuroangiosurgery, Clinic of Neurology and Neurosurgery, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Chomskis, Romanas" sort="Chomskis, Romanas" uniqKey="Chomskis R" first="Romanas" last="Chomskis">Romanas Chomskis</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Ragauskas, Arminas" sort="Ragauskas, Arminas" uniqKey="Ragauskas A" first="Arminas" last="Ragauskas">Arminas Ragauskas</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Medicina (Kaunas, Lithuania)</title><idno type="eISSN">1648-9144</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The aim of this study was to explore the association of cerebrovascular autoregulation (CA) and optimal cerebral perfusion pressure (CPP) managing conditions with the outcome of traumatic brain injury (TBI) patients including additional information about the patients' age and grade of diffuse axonal injury (DAI).</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="In-Data-Review"><PMID Version="1">26987500</PMID><DateCreated><Year>2016</Year><Month>03</Month><Day>18</Day></DateCreated><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1648-9144</ISSN><JournalIssue CitedMedium="Internet"><Volume>52</Volume><Issue>1</Issue><PubDate><Year>2016</Year></PubDate></JournalIssue><Title>Medicina (Kaunas, Lithuania)</Title><ISOAbbreviation>Medicina (Kaunas)</ISOAbbreviation></Journal><ArticleTitle>Association between the outcome of traumatic brain injury patients and cerebrovascular autoregulation, cerebral perfusion pressure, age, and injury grades.</ArticleTitle><Pagination><MedlinePgn>46-53</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.medici.2016.01.004</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S1010-660X(16)00006-9</ELocationID><Abstract><AbstractText Label="BACKGROUND AND OBJECTIVE" NlmCategory="OBJECTIVE">The aim of this study was to explore the association of cerebrovascular autoregulation (CA) and optimal cerebral perfusion pressure (CPP) managing conditions with the outcome of traumatic brain injury (TBI) patients including additional information about the patients' age and grade of diffuse axonal injury (DAI).</AbstractText><AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">The CA monitoring of 28 TBI patients was performed by using ICM+ software (Cambridge, UK). The CA status estimating pressure reactivity indexes (PRx) and CPP data were processed in order to obtain information on the patient-specific treatment conditions by calculating the optimal CPP.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">There was a negative correlation between the Glasgow outcome scale (GOS) score and PRx (r=-0.448 at hospital discharge and r=-0.402 after 6 months). The estimated threshold value PRx of >0.24 was associated with mortality. The correlation coefficients between the GOS score and the difference CPP-optimal CPP were 0.549 at hospital discharge and 0.484 after 6 months. The threshold value of CPP declination from ΔCPPopt per -6mmHg was associated with mortality. Poorer outcome was predicted for elderly TBI patients (aged >47 years) and patients having a DAI grade of 3.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The association of the GOS score with CPP, CA impairment conditions, age and diffuse axonal injury (DAI) grade showed that the outcomes of TBI patients were associated with patient-specific CPP management and better outcomes were obtained for younger patients, for patients having lower DAI grade and for patients whose CPP was kept within the range from the optimal CPP to the optimal CPP+10mmHg.</AbstractText><CopyrightInformation>Copyright © 2016 The Lithuanian University of Health Sciences. Production and hosting by Elsevier Urban & Partner Sp. z o.o. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Petkus</LastName><ForeName>Vytautas</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania. Electronic address: vytautas.petkus@ktu.lt.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Krakauskaitė</LastName><ForeName>Solventa</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Preikšaitis</LastName><ForeName>Aidanas</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Centre of Neuroangiosurgery, Clinic of Neurology and Neurosurgery, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ročka</LastName><ForeName>Saulius</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Centre of Neuroangiosurgery, Clinic of Neurology and Neurosurgery, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chomskis</LastName><ForeName>Romanas</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ragauskas</LastName><ForeName>Arminas</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>01</Month><Day>28</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Medicina (Kaunas)</MedlineTA><NlmUniqueID>9425208</NlmUniqueID><ISSNLinking>1010-660X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cerebrovascular autoregulation monitoring</Keyword><Keyword MajorTopicYN="N">Optimal cerebral perfusion pressure</Keyword><Keyword MajorTopicYN="N">Outcome</Keyword><Keyword MajorTopicYN="N">Traumatic brain injury</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>10</Month><Day>9</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>1</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2016</Year><Month>1</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>3</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>3</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>3</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">S1010-660X(16)00006-9</ArticleId><ArticleId IdType="doi">10.1016/j.medici.2016.01.004</ArticleId><ArticleId IdType="pubmed">26987500</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/TelematiV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000019 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000019 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= TelematiV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:26987500
|texte= Association between the outcome of traumatic brain injury patients and cerebrovascular autoregulation, cerebral perfusion pressure, age, and injury grades.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:26987500" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a TelematiV1
| This area was generated with Dilib version V0.6.31. |  |