{"markup":"\u003C?xml version=\u00221.0\u0022 encoding=\u0022UTF-8\u0022 ?\u003E\n    \u003Chtml version=\u0022HTML+RDFa+MathML 1.1\u0022\n    xmlns:content=\u0022http:\/\/purl.org\/rss\/1.0\/modules\/content\/\u0022\n    xmlns:dc=\u0022http:\/\/purl.org\/dc\/terms\/\u0022\n    xmlns:foaf=\u0022http:\/\/xmlns.com\/foaf\/0.1\/\u0022\n    xmlns:og=\u0022http:\/\/ogp.me\/ns#\u0022\n    xmlns:rdfs=\u0022http:\/\/www.w3.org\/2000\/01\/rdf-schema#\u0022\n    xmlns:sioc=\u0022http:\/\/rdfs.org\/sioc\/ns#\u0022\n    xmlns:sioct=\u0022http:\/\/rdfs.org\/sioc\/types#\u0022\n    xmlns:skos=\u0022http:\/\/www.w3.org\/2004\/02\/skos\/core#\u0022\n    xmlns:xsd=\u0022http:\/\/www.w3.org\/2001\/XMLSchema#\u0022\n    xmlns:mml=\u0022http:\/\/www.w3.org\/1998\/Math\/MathML\u0022\u003E\n  \u003Chead\u003E\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/sites\/default\/files\/js\/js_itu2PgFdrjV-docKmLK8Jn5oXe_05RgvQh73eOhI_mE.js\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_at_symbol.js?nzniwq\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_article_reference_popup.js?nzniwq\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/sites\/default\/files\/js\/js_I8yX6RYPZb7AtMcDUA3QKDZqVkvEn35ED11_1i7vVpc.js\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022\u003E\n\u003C!--\/\/--\u003E\u003C![CDATA[\/\/\u003E\u003C!--\n(function(i,s,o,g,r,a,m){i[\u0022GoogleAnalyticsObject\u0022]=r;i[r]=i[r]||function(){(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)})(window,document,\u0022script\u0022,\u0022\/\/www.google-analytics.com\/analytics.js\u0022,\u0022ga\u0022);ga(\u0022create\u0022, \u0022UA-15605596-27\u0022, {\u0022cookieDomain\u0022:\u0022auto\u0022});ga(\u0022set\u0022, \u0022page\u0022, location.pathname + location.search + location.hash);ga(\u0022send\u0022, \u0022pageview\u0022);ga(\u0027create\u0027, \u0027UA-189672-26\u0027, \u0027auto\u0027, {\u0027name\u0027: \u0027hwTracker\u0027});\r\nga(\u0027hwTracker.send\u0027, \u0027pageview\u0027);\n\/\/--\u003E\u003C!]]\u003E\n\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022\u003E\n\u003C!--\/\/--\u003E\u003C![CDATA[\/\/\u003E\u003C!--\njQuery.extend(Drupal.settings, {\u0022basePath\u0022:\u0022\\\/\u0022,\u0022pathPrefix\u0022:\u0022\u0022,\u0022highwire\u0022:{\u0022markup\u0022:[{\u0022requested\u0022:\u0022full-text\u0022,\u0022variant\u0022:\u0022full-text\u0022,\u0022view\u0022:\u0022full\u0022,\u0022pisa\u0022:\u0022spmdc;12\\\/1\\\/22\u0022},{\u0022requested\u0022:\u0022long\u0022,\u0022variant\u0022:\u0022full-text\u0022,\u0022view\u0022:\u0022full\u0022,\u0022pisa\u0022:\u0022spmdc;12\\\/1\\\/22\u0022}],\u0022ac\u0022:{\u0022spmdc;12\\\/1\\\/22\u0022:{\u0022access\u0022:{\u0022reprint\u0022:true,\u0022full\u0022:true},\u0022pisa_id\u0022:\u0022spmdc;12\\\/1\\\/22\u0022,\u0022atom_uri\u0022:\u0022\u0022,\u0022jcode\u0022:\u0022spmdc\u0022}}},\u0022googleanalytics\u0022:{\u0022trackOutbound\u0022:1,\u0022trackMailto\u0022:1,\u0022trackDownload\u0022:1,\u0022trackDownloadExtensions\u0022:\u00227z|aac|arc|arj|asf|asx|avi|bin|csv|doc(x|m)?|dot(x|m)?|exe|flv|gif|gz|gzip|hqx|jar|jpe?g|js|mp(2|3|4|e?g)|mov(ie)?|msi|msp|pdf|phps|png|ppt(x|m)?|pot(x|m)?|pps(x|m)?|ppam|sld(x|m)?|thmx|qtm?|ra(m|r)?|sea|sit|tar|tgz|torrent|txt|wav|wma|wmv|wpd|xls(x|m|b)?|xlt(x|m)|xlam|xml|z|zip\u0022,\u0022trackUrlFragments\u0022:1},\u0022ajaxPageState\u0022:{\u0022js\u0022:{\u0022sites\\\/all\\\/libraries\\\/cluetip\\\/jquery.cluetip.js\u0022:1,\u0022sites\\\/all\\\/libraries\\\/cluetip\\\/lib\\\/jquery.hoverIntent.js\u0022:1,\u0022sites\\\/all\\\/libraries\\\/cluetip\\\/lib\\\/jquery.bgiframe.min.js\u0022:1,\u0022sites\\\/all\\\/modules\\\/highwire\\\/highwire\\\/plugins\\\/highwire_markup_process\\\/js\\\/highwire_at_symbol.js\u0022:1,\u0022sites\\\/all\\\/modules\\\/highwire\\\/highwire\\\/plugins\\\/highwire_markup_process\\\/js\\\/highwire_article_reference_popup.js\u0022:1,\u0022sites\\\/all\\\/modules\\\/contrib\\\/google_analytics\\\/googleanalytics.js\u0022:1,\u00220\u0022:1}}});\n\/\/--\u003E\u003C!]]\u003E\n\u003C\/script\u003E\n\u003Clink type=\u0022text\/css\u0022 rel=\u0022stylesheet\u0022 href=\u0022\/\/d282kpwvnogo5m.cloudfront.net\/sites\/default\/files\/cdn\/css\/http\/css_Xg7z6oCTVgud_Q0huYz9x9iiD5H_2YPSJ5z2ZViSWdY.css\u0022 media=\u0022all\u0022 \/\u003E\n\u003Clink rel=\u0027stylesheet\u0027 type=\u0027text\/css\u0027 href=\u0027\/sites\/all\/modules\/contrib\/panels\/plugins\/layouts\/onecol\/onecol.css\u0027 \/\u003E\u003C\/head\u003E\u003Cbody\u003E\u003Cdiv class=\u0022panels-ajax-tab-panel panels-ajax-tab-panel-sageoa-tab-art\u0022\u003E\u003Cdiv class=\u0022panel-display panel-1col clearfix\u0022 \u003E\n  \u003Cdiv class=\u0022panel-panel panel-col\u0022\u003E\n    \u003Cdiv\u003E\u003Cdiv class=\u0022panel-pane pane-highwire-markup\u0022 \u003E\n  \n      \n  \n  \u003Cdiv class=\u0022pane-content\u0022\u003E\n    \u003Cdiv class=\u0022highwire-markup\u0022\u003E\u003Cdiv xmlns=\u0022http:\/\/www.w3.org\/1999\/xhtml\u0022 id=\u0022content-block-markup\u0022 xmlns:xhtml=\u0022http:\/\/www.w3.org\/1999\/xhtml\u0022\u003E\u003Cdiv class=\u0022article fulltext-view \u0022\u003E\u003Cspan class=\u0022highwire-journal-article-marker-start\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022section abstract\u0022 id=\u0022abstract-1\u0022\u003E\u003Ch2\u003ESummary\u003C\/h2\u003E\n            \u003Cp id=\u0022p-1\u0022\u003EThe use of multimodal imaging is increasing, with the hope that it will improve patient selection for endovascular stroke treatment. This article discusses the effects of time delays on outcomes and hemorrhage rates in patients who receive noncontrast computed tomography only or multimodal CT imaging, as well as the DIFFUSE-2 and Multi MERCI Trials.\u003C\/p\u003E\n         \u003C\/div\u003E\u003Cul class=\u0022kwd-group\u0022\u003E\u003Cli class=\u0022kwd\u0022\u003EInterventional Techniques \u0026amp; Devices\u003C\/li\u003E\u003Cli class=\u0022kwd\u0022\u003EIschemia\u003C\/li\u003E\u003Cli class=\u0022kwd\u0022\u003EInterventional Techniques \u0026amp; Devices\u003C\/li\u003E\u003Cli class=\u0022kwd\u0022\u003ECerebrovascular Disease\u003C\/li\u003E\u003C\/ul\u003E\u003Cp id=\u0022p-2\u0022\u003EThe use of multimodal imaging is increasing, with the hope that it will improve patient selection for endovascular stroke treatment. A recent post hoc analysis of the Interventional Management of Stroke I-II trial suggests a 12% decrease in the probability of a good outcome for every 30 minutes of delay from symptom onset to the initiation of endovascular treatment [Khatri P et al. \u003Cem\u003ENeurology\u003C\/em\u003E 2009]. Rishi Gupta, MD, Emory School of Medicine, Atlanta, Georgia, USA, discussed the effects of time delays on outcomes and hemorrhage rates in patients who receive noncontrast computed tomography (NCCT) only or multimodal CT imaging.\u003C\/p\u003E\u003Cp id=\u0022p-3\u0022\u003EPatients with occlusion of the middle cerebral artery (MCA; M1 or M2) or internal carotid artery who were treated \u0026lt;8 hours from symptom onset were in a retrospective review of patients at eight tertiary stroke centers. From September 2009 to December 2011, a total of 594 patients were screened; 418 were included in the study. Data were collected on time points for every milestone, as well as on demographics, radiographic interpretation of hemorrhages, and reperfusion status. Infarct volume was calculated using summation of region of interest of each slice.\u003C\/p\u003E\u003Cp id=\u0022p-4\u0022\u003ESuccessful reperfusion was defined as Thrombolysis in Cerebral Infarction (TICI) score 2b or better. Asymptomatic hemorrhage was defined as H1, H12, or PH1, based on the European Cooperative Acute Stroke Study (ECASS) definition. Modified Rankin scale score at 90 days was used to assess outcomes from 0 to 2.\u003C\/p\u003E\u003Cp id=\u0022p-5\u0022\u003EBaseline demographics were comparable between the NCCT (n=227) and CT perfusion (n=191) groups, except patients in the NCCT group were noted to have a higher pretreatment NIHSS (19\u00b16 vs 17\u00b16; p\u0026lt;0.01). Patients who were undergoing CT perfusion prior to reperfusion had significantly longer times from CT acquisition to groin puncture (121\u00b168 min vs 81\u00b161 min; p\u0026lt;0.001) and from CT acquisition to reperfusion (223\u00b189 min vs 175\u00b194 min; p\u0026lt;0.001) compared with NCCT. There were no differences in good outcomes or intracranial hemorrhage between the two groups.\u003C\/p\u003E\u003Cp id=\u0022p-6\u0022\u003EOverall, use of multimodal CT imaging led to significant delays in acute endovascular care. Additional imaging did not translate to better clinical outcomes or reduce hemorrhagic rates. These results suggest that the streamlining of treatment will require rapid triage and that NCCT may be sufficient to select patients for endovascular therapy and achieve faster reperfusion.\u003C\/p\u003E\u003Cdiv class=\u0022section\u0022 id=\u0022sec-1\u0022\u003E\n         \u003Ch2 class=\u0022\u0022\u003EDEFUSE-2: Target Mismatch and Favorable Clinical Outcomes\u003C\/h2\u003E\n         \u003Cp id=\u0022p-7\u0022\u003EThe DEFUSE-1 study identified a specific magnetic resonance imaging (MRI) profile (Target Mismatch [TMM]; \u003Ca id=\u0022xref-table-wrap-1-1\u0022 class=\u0022xref-table\u0022 href=\u0022#T1\u0022\u003ETable 1\u003C\/a\u003E) that is associated with benefit from reperfusion in IV tissue plasminogen activator (tPA)-treated patients. It was unknown whether local investigators in the acute setting could accurately determine a patient\u0027s TMM status or if patients with that profile would respond more favorably to endovascular reperfusion than those without it.\u003C\/p\u003E\n         \u003Cdiv id=\u0022T1\u0022 class=\u0022table pos-float\u0022\u003E\u003Cdiv class=\u0022table-inline\u0022\u003E\u003Cdiv class=\u0022callout\u0022\u003E\u003Cspan\u003EView this table:\u003C\/span\u003E\u003Cul class=\u0022callout-links\u0022\u003E\u003Cli class=\u00220 first\u0022\u003E\u003Ca href=\u0022\/\u0022 class=\u0022table-expand-inline\u0022 data-table-url=\u0022\/highwire\/markup\/12723\/expansion?postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media%2Chighwire_embed\u0026amp;table-expand-inline=1\u0022 html=\u00221\u0022 fragment=\u0022#\u0022 external=\u00221\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView inline\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00221\u0022\u003E\u003Ca href=\u0022\/highwire\/markup\/12723\/expansion?width=1000\u0026amp;height=500\u0026amp;iframe=true\u0026amp;postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media\u0022 class=\u0022colorbox colorbox-load table-expand-popup\u0022 rel=\u0022gallery-fragment-tables\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView popup\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00222 last\u0022\u003E\u003Ca href=\u0022\/highwire\/powerpoint\/12723\u0022 class=\u0022highwire-figure-link highwire-figure-link-ppt\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload powerpoint\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv class=\u0022table-caption\u0022\u003E\u003Cspan class=\u0022table-label\u0022\u003ETable 1.\u003C\/span\u003E \n               \u003Cp id=\u0022p-8\u0022 class=\u0022first-child\u0022\u003EDefinition of TMM.\u003C\/p\u003E\n            \u003Cdiv class=\u0022sb-div caption-clear\u0022\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\n         \u003Cp id=\u0022p-9\u0022\u003EThe aim of Diffusion-Weighted Imaging Evaluation for Understanding Stroke Evolution Study-2 [DEFUSE-2; \u003Ca class=\u0022external-ref external-ref-type-clintrialgov\u0022 href=\u0022\/lookup\/external-ref?link_type=CLINTRIALGOV\u0026amp;access_num=NCT01349946\u0026amp;atom=%2Fspmdc%2F12%2F1%2F22.atom\u0022\u003ENCT01349946\u003C\/a\u003E] was to demonstrate that clinicians in the emergency setting, with the aid of RAPID\u2014a fully automated MRI analysis program that outlines and measures perfusion-weighted imaging and diffusion-weighted imaging lesions (\u003Ca id=\u0022xref-fig-1-1\u0022 class=\u0022xref-fig\u0022 href=\u0022#F1\u0022\u003EFigure 1\u003C\/a\u003E)\u2014can identify MRI profiles that predict clinical and radiographic outcomes following endovascular reperfusion. Maarten G. Lansberg, MD, PhD, Stanford University, Palo Alto, California, USA, reviewed clinical endpoint results from DEFUSE-2.\u003C\/p\u003E\n         \u003Cdiv id=\u0022F1\u0022 class=\u0022fig pos-float  odd\u0022\u003E\u003Cdiv class=\u0022highwire-figure\u0022\u003E\u003Cdiv class=\u0022fig-inline-img-wrapper\u0022\u003E\u003Cdiv class=\u0022fig-inline-img\u0022\u003E\u003Ca href=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/content\/spmdc\/12\/1\/22\/F1.large.jpg?width=800\u0026amp;height=600\u0026amp;carousel=1\u0022 title=\u0022RAPID\u0026#x2014;Automated MRI Analysis Program That Outlines and Measures PWI and DWI Lesions.\u0022 class=\u0022fragment-images colorbox-load\u0022 rel=\u0022gallery-fragment-images-1597305615\u0022 data-figure-caption=\u0022RAPID\u0026#x2014;Automated MRI Analysis Program That Outlines and Measures PWI and DWI Lesions.\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003E\u003Cimg class=\u0022fragment-image\u0022 alt=\u0022Figure 1.\u0022 src=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/content\/spmdc\/12\/1\/22\/F1.medium.gif\u0022\/\u003E\u003C\/a\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cul class=\u0022highwire-figure-links inline\u0022\u003E\u003Cli class=\u00220 first\u0022\u003E\u003Ca href=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/content\/spmdc\/12\/1\/22\/F1.large.jpg?download=true\u0022 class=\u0022highwire-figure-link highwire-figure-link-download\u0022 title=\u0022Download Figure 1.\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload figure\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00221\u0022\u003E\u003Ca href=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/content\/spmdc\/12\/1\/22\/F1.large.jpg\u0022 class=\u0022highwire-figure-link highwire-figure-link-newtab\u0022 target=\u0022_blank\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EOpen in new tab\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00222 last\u0022\u003E\u003Ca href=\u0022\/highwire\/powerpoint\/12722\u0022 class=\u0022highwire-figure-link highwire-figure-link-ppt\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload powerpoint\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003Cdiv class=\u0022fig-caption attrib\u0022\u003E\u003Cspan class=\u0022fig-label\u0022\u003EFigure 1.\u003C\/span\u003E \n               \u003Cp id=\u0022p-10\u0022 class=\u0022first-child\u0022\u003ERAPID\u2014Automated MRI Analysis Program That Outlines and Measures PWI and DWI Lesions.\u003C\/p\u003E\n            \u003Cq class=\u0022attrib\u0022 id=\u0022attrib-1\u0022\u003EReproduced with permission from MG Lansberg, MD, PhD.\u003C\/q\u003E\u003Cdiv class=\u0022sb-div caption-clear\u0022\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\n         \u003Cp id=\u0022p-11\u0022\u003EThe multicenter, prospective cohort study enrolled 138 patients from 2009 to 2011. Study participants had NIHSS \u22655, were aged \u226518 years, were scheduled to undergo acute stroke therapy (groin puncture \u0026lt;12 hours from symptom onset), and were able to undergo an MRI stroke study \u0026lt;90 minutes prior to the start of the intraarterial procedure. The DEFUSE-2 protocol called for serial MRI imaging before and after endovascular therapy and Day 30 clinical assessment (NIHSS and Rankin).\u003C\/p\u003E\n         \u003Cp id=\u0022p-12\u0022\u003EOne hypothesis was that investigators in multiple clinical sites can quickly and accurately establish the MR profile of acute stroke patients using RAPID. In the DEFUSE-2 study, there was 97% agreement between local investigators and the core imaging laboratory in assessment of TMM status. The other hypothesis was that patients with a TMM would respond more favorably to endovascular reperfusion therapy than patients without it.\u003C\/p\u003E\n         \u003Cp id=\u0022p-13\u0022\u003EThe primary analysis\u2014a comparison of the odds ratios (OR) for the association between reperfusion and favorable clinical response in TMM (n=78) versus No TMM (n=21) patients\u2014showed a significant association between reperfusion and favorable clinical response in TMM patients (OR, 5.0; 95% CI, 1.9 to 13.0) but not in patients without TMM (OR, 0.2; 95% CI, 0.0 to 1.4). The difference between the two ORs was significant (p=0.004).\u003C\/p\u003E\n         \u003Cp id=\u0022p-14\u0022\u003EThe authors concluded that local investigators in the acute stroke setting, with the aid of RAPID software, can accurately identify which patients have the TMM profile. Patients in this group have an increased chance of favorable clinical outcomes with early reperfusion, whereas there was no signal of benefit from reperfusion in the non-TMM group.\u003C\/p\u003E\n      \u003C\/div\u003E\u003Cdiv class=\u0022section\u0022 id=\u0022sec-2\u0022\u003E\n         \u003Ch2 class=\u0022\u0022\u003EMulti MERCI \u2013 Upgrading Metrics for Recanalization and Reperfusion\u003C\/h2\u003E\n         \u003Cp id=\u0022p-15\u0022\u003EDavid S. Liebeskind, MD, UCLA Stroke Center, Los Angeles, California, USA, discussed how angiographic definitions for revascularization of arterial occlusion often vary in endovascular stroke trials and how TIMI scores continue to be used despite inconsistent methods and limited correlation with clinical outcome after stroke.\u003C\/p\u003E\n         \u003Cp id=\u0022p-16\u0022\u003EArterial Occlusive Lesion (AOL) and Thrombolysis in Cerebral Infarction (TICI) metrics of recanalization and reperfusion are better options, but detailed questions persist about scale implementation. To address these issues, Dr. Liebeskind and colleagues conducted a prospective analysis of central core lab angiography scores with local site reads in Multi MERCI [\u003Ca class=\u0022external-ref external-ref-type-clintrialgov\u0022 href=\u0022\/lookup\/external-ref?link_type=CLINTRIALGOV\u0026amp;access_num=NCT00318071\u0026amp;atom=%2Fspmdc%2F12%2F1%2F22.atom\u0022\u003ENCT00318071\u003C\/a\u003E]. Their objective was to establish AOL and TICI metrics of recanalization and reperfusion, linking revascularization and clinical outcomes.\u003C\/p\u003E\n         \u003Cp id=\u0022p-17\u0022\u003EData showed that local-site TIMI score had a modest but statistically significant correlation with AOL recanalization (p\u0026lt;0.001) and TICI reperfusion (p\u0026lt;0.001). Interrater reliabilities of central readers were excellent for AOL (k=0.987) and TICI (k=0.826); AOL and TICI were moderately correlated (p\u0026lt;0.001). AOL recanalization was associated with time from symptom onset to procedure (p=0.005), platelet count (p=0.043), and systolic blood pressure \u0026lt;150 mm Hg (p=0.022). TICI reperfusion was associated with time from symptom onset to procedure (p=0.029), current smoking (p=0.042), congestive heart failure (p=0.031), and systolic blood pressure \u0026lt;150 mm Hg (p=0.013).\u003C\/p\u003E\n         \u003Cp id=\u0022p-18\u0022\u003EAcross all grades, TICI reperfusion was inversely associated with 90-day death (p=0.007) and positively associated with good outcomes (p=0.003). AOL recanalization showed the same trend, although the association was weakened (p=0.129; p=0.047).\u003C\/p\u003E\n         \u003Cp id=\u0022p-19\u0022\u003EThe optimal TICI score was 2b\/3. It strongly predicted 90-day modified Rankin scale 0\u20132 (OR, 2.73; p=0.004) and decreased mortality (OR, 0.29; p\u0026lt;0.001) beyond AOL 2\/3 (OR, 2.78; p=0.020; OR, 0.56; p=0.125). AOL and TICI exhibited similar relationships across various sites of arterial occlusion.\u003C\/p\u003E\n      \u003C\/div\u003E\u003Cul class=\u0022copyright-statement\u0022\u003E\u003Cli class=\u0022fn\u0022 id=\u0022copyright-statement-1\u0022\u003E\u00a9 2012 MD Conference Express\u00ae\u003C\/li\u003E\u003C\/ul\u003E\u003Cspan class=\u0022highwire-journal-article-marker-end\u0022\u003E\u003C\/span\u003E\u003C\/div\u003E\u003Cspan id=\u0022related-urls\u0022\u003E\u003C\/span\u003E\u003C\/div\u003E\u003Ca href=\u0022http:\/\/mdc.sagepub.com\/content\/12\/1\/22.abstract\u0022 class=\u0022hw-link hw-link-article-abstract\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView Summary\u003C\/a\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \u003C\/div\u003E\n\u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n\u003C\/div\u003E\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_figures.js?nzniwq\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_openurl.js?nzniwq\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_tables.js?nzniwq\u0022\u003E\u003C\/script\u003E\n\u003C\/body\u003E\u003C\/html\u003E"}