Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis
Introduction Severity of vascular damage of white matter may predict hemorrhagic transformation (HT). We assess the relationship between leukoaraiosis (LA) severity and the type of hemorrhagic transformation in elderly patients treated with thrombolysis. Methods We retrospectively analyzed the clini...
Gespeichert in:
| Veröffentlicht in: | Neuroradiology 2016-10, Vol.58 (10), p.961-967 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 967 |
|---|---|
| container_issue | 10 |
| container_start_page | 961 |
| container_title | Neuroradiology |
| container_volume | 58 |
| creator | Nighoghossian, Norbert Abbas, Fatima Cho, Tae-Hee Geraldo, Ana Filipa Cottaz, Vincent Janecek, Elie Mechtouff, Laura Bischoff, Magali El Khoury, Carlos Schott, Anne Marie Derex, Laurent Hermier, Marc Tisserand, Louis Guy Amelie, Roxana Chamard, Leila Berthezene, Yves |
| description | Introduction
Severity of vascular damage of white matter may predict hemorrhagic transformation (HT). We assess the relationship between leukoaraiosis (LA) severity and the type of hemorrhagic transformation in elderly patients treated with thrombolysis.
Methods
We retrospectively analyzed the clinical data and pretreatment magnetic resonance imaging (MRI) of 180 consecutive ischemic stroke patients aged over 75 years. LA severity was graded according to the Fazekas scale, and acute diffusion-weighted-imaging (DWI) lesion volumes were semi-automatically outlined. Predictors of hemorrhagic infarction (HI) and parenchymal hemorrhage (PH) were identified using logistic regression analysis and exact multinomial logistic analysis.
Results
HT occurred in 31 patients (17 %). Baseline National Institute of Health Stroke Score (NIHSS;
p
= 0.008), severe LA (
p
= 0.02), and diffusion lesion volume (
p
= 0.02) were predictors of HT in univariable logistic regression. Adjusted to lesion volume and baseline NIHSS score, exact multinomial logistic analysis showed that severe LA was the only independent predictor of parenchymal hemorrhage (
p
= 0.03).
Conclusion
In elderly patients, LA severity better predicts parenchymal hemorrhage than infarct size. |
| doi_str_mv | 10.1007/s00234-016-1725-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1837294503</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1837294503</sourcerecordid><originalsourceid>FETCH-LOGICAL-c405t-67470a096c3814c8b9601602e634aa05ac7866210d716415b3d6c06542cb955c3</originalsourceid><addsrcrecordid>eNqNkU1r3DAQhkVoaLab_oBeiqCXXNyMPizZx7Ak7UIgl-QsZHl27dS2NpJM2H9fLbsppRDoSYd55hm9vIR8YfCdAejrCMCFLICpgmleFvqMLJgUvGA1hw9kkcdVIWoJF-RTjM8AILTQH8kF11LqSvMFMetxZ12ifkMHnH95G2zvYx-pn-jOBpxctx_tQDscfQid3SLtJ4pDi2HYZyL1OKVIU0CbsKWvfepo6oIfGz_ss-eSnG_sEPHz6V2Sp7vbx9XP4v7hx3p1c184CWUqlJYaLNTKiYpJVzW1yqmAoxLSWiit05VSnEGrmZKsbESrHKhSctfUZenEklwdvbvgX2aMyYx9dDgMdkI_R8MqoXktSxD_gXKlBRdMZfTbP-izn8OUgxyEAEznP2SKHSkXfIwBN2YX-tGGvWFgDkWZY1EmRzKHoozOO19P5rkZsf2z8dZMBvgRiHk0bTH8dfpd628DU5xW</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1830017065</pqid></control><display><type>article</type><title>Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Nighoghossian, Norbert ; Abbas, Fatima ; Cho, Tae-Hee ; Geraldo, Ana Filipa ; Cottaz, Vincent ; Janecek, Elie ; Mechtouff, Laura ; Bischoff, Magali ; El Khoury, Carlos ; Schott, Anne Marie ; Derex, Laurent ; Hermier, Marc ; Tisserand, Louis Guy ; Amelie, Roxana ; Chamard, Leila ; Berthezene, Yves</creator><creatorcontrib>Nighoghossian, Norbert ; Abbas, Fatima ; Cho, Tae-Hee ; Geraldo, Ana Filipa ; Cottaz, Vincent ; Janecek, Elie ; Mechtouff, Laura ; Bischoff, Magali ; El Khoury, Carlos ; Schott, Anne Marie ; Derex, Laurent ; Hermier, Marc ; Tisserand, Louis Guy ; Amelie, Roxana ; Chamard, Leila ; Berthezene, Yves</creatorcontrib><description>Introduction
Severity of vascular damage of white matter may predict hemorrhagic transformation (HT). We assess the relationship between leukoaraiosis (LA) severity and the type of hemorrhagic transformation in elderly patients treated with thrombolysis.
Methods
We retrospectively analyzed the clinical data and pretreatment magnetic resonance imaging (MRI) of 180 consecutive ischemic stroke patients aged over 75 years. LA severity was graded according to the Fazekas scale, and acute diffusion-weighted-imaging (DWI) lesion volumes were semi-automatically outlined. Predictors of hemorrhagic infarction (HI) and parenchymal hemorrhage (PH) were identified using logistic regression analysis and exact multinomial logistic analysis.
Results
HT occurred in 31 patients (17 %). Baseline National Institute of Health Stroke Score (NIHSS;
p
= 0.008), severe LA (
p
= 0.02), and diffusion lesion volume (
p
= 0.02) were predictors of HT in univariable logistic regression. Adjusted to lesion volume and baseline NIHSS score, exact multinomial logistic analysis showed that severe LA was the only independent predictor of parenchymal hemorrhage (
p
= 0.03).
Conclusion
In elderly patients, LA severity better predicts parenchymal hemorrhage than infarct size.</description><identifier>ISSN: 0028-3940</identifier><identifier>EISSN: 1432-1920</identifier><identifier>DOI: 10.1007/s00234-016-1725-7</identifier><identifier>PMID: 27447872</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged, 80 and over ; Causality ; Cerebral Hemorrhage - diagnostic imaging ; Cerebral Hemorrhage - epidemiology ; Cerebral Hemorrhage - therapy ; Comorbidity ; Diagnostic Neuroradiology ; Female ; France - epidemiology ; Hemorrhage ; Humans ; Imaging ; Ischemia ; Leukoaraiosis - diagnostic imaging ; Leukoaraiosis - epidemiology ; Leukoaraiosis - prevention & control ; Magnetic Resonance Imaging - methods ; Magnetic Resonance Imaging - statistics & numerical data ; Male ; Medicine ; Medicine & Public Health ; Neurology ; Neuroradiology ; Neurosciences ; Neurosurgery ; NMR ; Nuclear magnetic resonance ; Older people ; Prevalence ; Prognosis ; Radiology ; Reproducibility of Results ; Risk Factors ; Sensitivity and Specificity ; Stroke ; Thrombolytic drugs ; Thrombolytic Therapy - statistics & numerical data ; Treatment Outcome</subject><ispartof>Neuroradiology, 2016-10, Vol.58 (10), p.961-967</ispartof><rights>Springer-Verlag Berlin Heidelberg 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-67470a096c3814c8b9601602e634aa05ac7866210d716415b3d6c06542cb955c3</citedby><cites>FETCH-LOGICAL-c405t-67470a096c3814c8b9601602e634aa05ac7866210d716415b3d6c06542cb955c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00234-016-1725-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00234-016-1725-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27447872$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nighoghossian, Norbert</creatorcontrib><creatorcontrib>Abbas, Fatima</creatorcontrib><creatorcontrib>Cho, Tae-Hee</creatorcontrib><creatorcontrib>Geraldo, Ana Filipa</creatorcontrib><creatorcontrib>Cottaz, Vincent</creatorcontrib><creatorcontrib>Janecek, Elie</creatorcontrib><creatorcontrib>Mechtouff, Laura</creatorcontrib><creatorcontrib>Bischoff, Magali</creatorcontrib><creatorcontrib>El Khoury, Carlos</creatorcontrib><creatorcontrib>Schott, Anne Marie</creatorcontrib><creatorcontrib>Derex, Laurent</creatorcontrib><creatorcontrib>Hermier, Marc</creatorcontrib><creatorcontrib>Tisserand, Louis Guy</creatorcontrib><creatorcontrib>Amelie, Roxana</creatorcontrib><creatorcontrib>Chamard, Leila</creatorcontrib><creatorcontrib>Berthezene, Yves</creatorcontrib><title>Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis</title><title>Neuroradiology</title><addtitle>Neuroradiology</addtitle><addtitle>Neuroradiology</addtitle><description>Introduction
Severity of vascular damage of white matter may predict hemorrhagic transformation (HT). We assess the relationship between leukoaraiosis (LA) severity and the type of hemorrhagic transformation in elderly patients treated with thrombolysis.
Methods
We retrospectively analyzed the clinical data and pretreatment magnetic resonance imaging (MRI) of 180 consecutive ischemic stroke patients aged over 75 years. LA severity was graded according to the Fazekas scale, and acute diffusion-weighted-imaging (DWI) lesion volumes were semi-automatically outlined. Predictors of hemorrhagic infarction (HI) and parenchymal hemorrhage (PH) were identified using logistic regression analysis and exact multinomial logistic analysis.
Results
HT occurred in 31 patients (17 %). Baseline National Institute of Health Stroke Score (NIHSS;
p
= 0.008), severe LA (
p
= 0.02), and diffusion lesion volume (
p
= 0.02) were predictors of HT in univariable logistic regression. Adjusted to lesion volume and baseline NIHSS score, exact multinomial logistic analysis showed that severe LA was the only independent predictor of parenchymal hemorrhage (
p
= 0.03).
Conclusion
In elderly patients, LA severity better predicts parenchymal hemorrhage than infarct size.</description><subject>Aged, 80 and over</subject><subject>Causality</subject><subject>Cerebral Hemorrhage - diagnostic imaging</subject><subject>Cerebral Hemorrhage - epidemiology</subject><subject>Cerebral Hemorrhage - therapy</subject><subject>Comorbidity</subject><subject>Diagnostic Neuroradiology</subject><subject>Female</subject><subject>France - epidemiology</subject><subject>Hemorrhage</subject><subject>Humans</subject><subject>Imaging</subject><subject>Ischemia</subject><subject>Leukoaraiosis - diagnostic imaging</subject><subject>Leukoaraiosis - epidemiology</subject><subject>Leukoaraiosis - prevention & control</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Magnetic Resonance Imaging - statistics & numerical data</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Neurosurgery</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Older people</subject><subject>Prevalence</subject><subject>Prognosis</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Stroke</subject><subject>Thrombolytic drugs</subject><subject>Thrombolytic Therapy - statistics & numerical data</subject><subject>Treatment Outcome</subject><issn>0028-3940</issn><issn>1432-1920</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkU1r3DAQhkVoaLab_oBeiqCXXNyMPizZx7Ak7UIgl-QsZHl27dS2NpJM2H9fLbsppRDoSYd55hm9vIR8YfCdAejrCMCFLICpgmleFvqMLJgUvGA1hw9kkcdVIWoJF-RTjM8AILTQH8kF11LqSvMFMetxZ12ifkMHnH95G2zvYx-pn-jOBpxctx_tQDscfQid3SLtJ4pDi2HYZyL1OKVIU0CbsKWvfepo6oIfGz_ss-eSnG_sEPHz6V2Sp7vbx9XP4v7hx3p1c184CWUqlJYaLNTKiYpJVzW1yqmAoxLSWiit05VSnEGrmZKsbESrHKhSctfUZenEklwdvbvgX2aMyYx9dDgMdkI_R8MqoXktSxD_gXKlBRdMZfTbP-izn8OUgxyEAEznP2SKHSkXfIwBN2YX-tGGvWFgDkWZY1EmRzKHoozOO19P5rkZsf2z8dZMBvgRiHk0bTH8dfpd628DU5xW</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Nighoghossian, Norbert</creator><creator>Abbas, Fatima</creator><creator>Cho, Tae-Hee</creator><creator>Geraldo, Ana Filipa</creator><creator>Cottaz, Vincent</creator><creator>Janecek, Elie</creator><creator>Mechtouff, Laura</creator><creator>Bischoff, Magali</creator><creator>El Khoury, Carlos</creator><creator>Schott, Anne Marie</creator><creator>Derex, Laurent</creator><creator>Hermier, Marc</creator><creator>Tisserand, Louis Guy</creator><creator>Amelie, Roxana</creator><creator>Chamard, Leila</creator><creator>Berthezene, Yves</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20161001</creationdate><title>Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis</title><author>Nighoghossian, Norbert ; Abbas, Fatima ; Cho, Tae-Hee ; Geraldo, Ana Filipa ; Cottaz, Vincent ; Janecek, Elie ; Mechtouff, Laura ; Bischoff, Magali ; El Khoury, Carlos ; Schott, Anne Marie ; Derex, Laurent ; Hermier, Marc ; Tisserand, Louis Guy ; Amelie, Roxana ; Chamard, Leila ; Berthezene, Yves</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-67470a096c3814c8b9601602e634aa05ac7866210d716415b3d6c06542cb955c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged, 80 and over</topic><topic>Causality</topic><topic>Cerebral Hemorrhage - diagnostic imaging</topic><topic>Cerebral Hemorrhage - epidemiology</topic><topic>Cerebral Hemorrhage - therapy</topic><topic>Comorbidity</topic><topic>Diagnostic Neuroradiology</topic><topic>Female</topic><topic>France - epidemiology</topic><topic>Hemorrhage</topic><topic>Humans</topic><topic>Imaging</topic><topic>Ischemia</topic><topic>Leukoaraiosis - diagnostic imaging</topic><topic>Leukoaraiosis - epidemiology</topic><topic>Leukoaraiosis - prevention & control</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Magnetic Resonance Imaging - statistics & numerical data</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Neurosurgery</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Older people</topic><topic>Prevalence</topic><topic>Prognosis</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Stroke</topic><topic>Thrombolytic drugs</topic><topic>Thrombolytic Therapy - statistics & numerical data</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nighoghossian, Norbert</creatorcontrib><creatorcontrib>Abbas, Fatima</creatorcontrib><creatorcontrib>Cho, Tae-Hee</creatorcontrib><creatorcontrib>Geraldo, Ana Filipa</creatorcontrib><creatorcontrib>Cottaz, Vincent</creatorcontrib><creatorcontrib>Janecek, Elie</creatorcontrib><creatorcontrib>Mechtouff, Laura</creatorcontrib><creatorcontrib>Bischoff, Magali</creatorcontrib><creatorcontrib>El Khoury, Carlos</creatorcontrib><creatorcontrib>Schott, Anne Marie</creatorcontrib><creatorcontrib>Derex, Laurent</creatorcontrib><creatorcontrib>Hermier, Marc</creatorcontrib><creatorcontrib>Tisserand, Louis Guy</creatorcontrib><creatorcontrib>Amelie, Roxana</creatorcontrib><creatorcontrib>Chamard, Leila</creatorcontrib><creatorcontrib>Berthezene, Yves</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Neuroradiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nighoghossian, Norbert</au><au>Abbas, Fatima</au><au>Cho, Tae-Hee</au><au>Geraldo, Ana Filipa</au><au>Cottaz, Vincent</au><au>Janecek, Elie</au><au>Mechtouff, Laura</au><au>Bischoff, Magali</au><au>El Khoury, Carlos</au><au>Schott, Anne Marie</au><au>Derex, Laurent</au><au>Hermier, Marc</au><au>Tisserand, Louis Guy</au><au>Amelie, Roxana</au><au>Chamard, Leila</au><au>Berthezene, Yves</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis</atitle><jtitle>Neuroradiology</jtitle><stitle>Neuroradiology</stitle><addtitle>Neuroradiology</addtitle><date>2016-10-01</date><risdate>2016</risdate><volume>58</volume><issue>10</issue><spage>961</spage><epage>967</epage><pages>961-967</pages><issn>0028-3940</issn><eissn>1432-1920</eissn><abstract>Introduction
Severity of vascular damage of white matter may predict hemorrhagic transformation (HT). We assess the relationship between leukoaraiosis (LA) severity and the type of hemorrhagic transformation in elderly patients treated with thrombolysis.
Methods
We retrospectively analyzed the clinical data and pretreatment magnetic resonance imaging (MRI) of 180 consecutive ischemic stroke patients aged over 75 years. LA severity was graded according to the Fazekas scale, and acute diffusion-weighted-imaging (DWI) lesion volumes were semi-automatically outlined. Predictors of hemorrhagic infarction (HI) and parenchymal hemorrhage (PH) were identified using logistic regression analysis and exact multinomial logistic analysis.
Results
HT occurred in 31 patients (17 %). Baseline National Institute of Health Stroke Score (NIHSS;
p
= 0.008), severe LA (
p
= 0.02), and diffusion lesion volume (
p
= 0.02) were predictors of HT in univariable logistic regression. Adjusted to lesion volume and baseline NIHSS score, exact multinomial logistic analysis showed that severe LA was the only independent predictor of parenchymal hemorrhage (
p
= 0.03).
Conclusion
In elderly patients, LA severity better predicts parenchymal hemorrhage than infarct size.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27447872</pmid><doi>10.1007/s00234-016-1725-7</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0028-3940 |
| ispartof | Neuroradiology, 2016-10, Vol.58 (10), p.961-967 |
| issn | 0028-3940 1432-1920 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1837294503 |
| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Aged, 80 and over Causality Cerebral Hemorrhage - diagnostic imaging Cerebral Hemorrhage - epidemiology Cerebral Hemorrhage - therapy Comorbidity Diagnostic Neuroradiology Female France - epidemiology Hemorrhage Humans Imaging Ischemia Leukoaraiosis - diagnostic imaging Leukoaraiosis - epidemiology Leukoaraiosis - prevention & control Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - statistics & numerical data Male Medicine Medicine & Public Health Neurology Neuroradiology Neurosciences Neurosurgery NMR Nuclear magnetic resonance Older people Prevalence Prognosis Radiology Reproducibility of Results Risk Factors Sensitivity and Specificity Stroke Thrombolytic drugs Thrombolytic Therapy - statistics & numerical data Treatment Outcome |
| title | Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T05%3A15%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Impact%20of%20leukoaraiosis%20on%20parenchymal%20hemorrhage%20in%20elderly%20patients%20treated%20with%20thrombolysis&rft.jtitle=Neuroradiology&rft.au=Nighoghossian,%20Norbert&rft.date=2016-10-01&rft.volume=58&rft.issue=10&rft.spage=961&rft.epage=967&rft.pages=961-967&rft.issn=0028-3940&rft.eissn=1432-1920&rft_id=info:doi/10.1007/s00234-016-1725-7&rft_dat=%3Cproquest_cross%3E1837294503%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1830017065&rft_id=info:pmid/27447872&rfr_iscdi=true |