Prediction of intracerebral hemorrhage survival
The Pilot Stroke Data Bank obtained information on 94 patients with intracerebral hemorrhage. These data were used to identify factors predictive of 30‐day outcome from among 85 demographic, historical, clinical, and laboratory variables generally available to clinicians on the day of admission. The...
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Veröffentlicht in: | Annals of neurology 1988-08, Vol.24 (2), p.258-263 |
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creator | Tuhrim, Stanley Dambrosia, James M. Price, Thomas R. Mohr, Jay P. Wolf, Philip A. Heyman, Albert Kase, Carlos S. |
description | The Pilot Stroke Data Bank obtained information on 94 patients with intracerebral hemorrhage. These data were used to identify factors predictive of 30‐day outcome from among 85 demographic, historical, clinical, and laboratory variables generally available to clinicians on the day of admission. The 9 univariate factors statistically associated with outcome were Glasgow Coma Scale score, systolic blood pressure, pulse pressure, horizontal and vertical gaze palsies, severity of weakness, presence of brainstem‐cerebellar deficits, interval stroke course, and parenchymal hemorrhage size. Beginning with these factors, a step‐down variable selection procedure was used to derive a logistic regression model, containing only Glasgow Coma Scale score, pulse pressure, and hemorrhage size, that could be used to categorize correctly 92% of the patients as alive or dead at 30 days after onset. |
doi_str_mv | 10.1002/ana.410240213 |
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These data were used to identify factors predictive of 30‐day outcome from among 85 demographic, historical, clinical, and laboratory variables generally available to clinicians on the day of admission. The 9 univariate factors statistically associated with outcome were Glasgow Coma Scale score, systolic blood pressure, pulse pressure, horizontal and vertical gaze palsies, severity of weakness, presence of brainstem‐cerebellar deficits, interval stroke course, and parenchymal hemorrhage size. Beginning with these factors, a step‐down variable selection procedure was used to derive a logistic regression model, containing only Glasgow Coma Scale score, pulse pressure, and hemorrhage size, that could be used to categorize correctly 92% of the patients as alive or dead at 30 days after onset.</description><identifier>ISSN: 0364-5134</identifier><identifier>EISSN: 1531-8249</identifier><identifier>DOI: 10.1002/ana.410240213</identifier><identifier>PMID: 3178180</identifier><identifier>CODEN: ANNED3</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Biological and medical sciences ; Cerebral Hemorrhage - mortality ; Cerebral Hemorrhage - physiopathology ; Female ; Humans ; Male ; Medical sciences ; Neurology ; Prognosis ; Risk Factors ; Vascular diseases and vascular malformations of the nervous system</subject><ispartof>Annals of neurology, 1988-08, Vol.24 (2), p.258-263</ispartof><rights>Copyright © 1988 American Neurological Association</rights><rights>1989 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4693-658f6975b25448dc52492bf2f3a892e0eacd1e462cd0bce302133afa5188bbeb3</citedby><cites>FETCH-LOGICAL-c4693-658f6975b25448dc52492bf2f3a892e0eacd1e462cd0bce302133afa5188bbeb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fana.410240213$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fana.410240213$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=7280310$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/3178180$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tuhrim, Stanley</creatorcontrib><creatorcontrib>Dambrosia, James M.</creatorcontrib><creatorcontrib>Price, Thomas R.</creatorcontrib><creatorcontrib>Mohr, Jay P.</creatorcontrib><creatorcontrib>Wolf, Philip A.</creatorcontrib><creatorcontrib>Heyman, Albert</creatorcontrib><creatorcontrib>Kase, Carlos S.</creatorcontrib><title>Prediction of intracerebral hemorrhage survival</title><title>Annals of neurology</title><addtitle>Ann Neurol</addtitle><description>The Pilot Stroke Data Bank obtained information on 94 patients with intracerebral hemorrhage. These data were used to identify factors predictive of 30‐day outcome from among 85 demographic, historical, clinical, and laboratory variables generally available to clinicians on the day of admission. The 9 univariate factors statistically associated with outcome were Glasgow Coma Scale score, systolic blood pressure, pulse pressure, horizontal and vertical gaze palsies, severity of weakness, presence of brainstem‐cerebellar deficits, interval stroke course, and parenchymal hemorrhage size. Beginning with these factors, a step‐down variable selection procedure was used to derive a logistic regression model, containing only Glasgow Coma Scale score, pulse pressure, and hemorrhage size, that could be used to categorize correctly 92% of the patients as alive or dead at 30 days after onset.</description><subject>Biological and medical sciences</subject><subject>Cerebral Hemorrhage - mortality</subject><subject>Cerebral Hemorrhage - physiopathology</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Neurology</subject><subject>Prognosis</subject><subject>Risk Factors</subject><subject>Vascular diseases and vascular malformations of the nervous system</subject><issn>0364-5134</issn><issn>1531-8249</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1988</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM1PwkAQxTdGg4gePZpwMN4K-9V2e0QU1BA0RuNxM91OZbW0uAso_70lNMSTpzm837x58wg5Z7THKOV9KKEnGeWSciYOSJuFggWKy-SQtKmIZBAyIY_JifcflNIkYrRFWoLFiinaJv0nh5k1S1uV3Srv2nLpwKDD1EHRneG8cm4G79j1K7e2ayhOyVEOhcezZnbI6-j2ZXgXTB7H98PBJDAySkQQhSqPkjhMeSilykxY5-FpznMBKuFIEUzGUEbcZDQ1KLbZBeQQMqXSFFPRIVc734Wrvlbol3puvcGigBKrldexknH9C6_BYAcaV3nvMNcLZ-fgNppRvS1I1wXpfUE1f9EYr9I5Znu6aaTWLxsdvIEid1Aa6_dYzGuGbbF4h33bAjf_39SD6eBvgCaw9Uv82W-C-9RRLOJQv03H-oHfDNXo-llPxC9JZYvz</recordid><startdate>198808</startdate><enddate>198808</enddate><creator>Tuhrim, Stanley</creator><creator>Dambrosia, James M.</creator><creator>Price, Thomas R.</creator><creator>Mohr, Jay P.</creator><creator>Wolf, Philip A.</creator><creator>Heyman, Albert</creator><creator>Kase, Carlos S.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Willey-Liss</general><scope>BSCLL</scope><scope>IQODW</scope><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>7X8</scope></search><sort><creationdate>198808</creationdate><title>Prediction of intracerebral hemorrhage survival</title><author>Tuhrim, Stanley ; Dambrosia, James M. ; Price, Thomas R. ; Mohr, Jay P. ; Wolf, Philip A. ; Heyman, Albert ; Kase, Carlos S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4693-658f6975b25448dc52492bf2f3a892e0eacd1e462cd0bce302133afa5188bbeb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Biological and medical sciences</topic><topic>Cerebral Hemorrhage - mortality</topic><topic>Cerebral Hemorrhage - physiopathology</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Neurology</topic><topic>Prognosis</topic><topic>Risk Factors</topic><topic>Vascular diseases and vascular malformations of the nervous system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tuhrim, Stanley</creatorcontrib><creatorcontrib>Dambrosia, James M.</creatorcontrib><creatorcontrib>Price, Thomas R.</creatorcontrib><creatorcontrib>Mohr, Jay P.</creatorcontrib><creatorcontrib>Wolf, Philip A.</creatorcontrib><creatorcontrib>Heyman, Albert</creatorcontrib><creatorcontrib>Kase, Carlos S.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Annals of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tuhrim, Stanley</au><au>Dambrosia, James M.</au><au>Price, Thomas R.</au><au>Mohr, Jay P.</au><au>Wolf, Philip A.</au><au>Heyman, Albert</au><au>Kase, Carlos S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of intracerebral hemorrhage survival</atitle><jtitle>Annals of neurology</jtitle><addtitle>Ann Neurol</addtitle><date>1988-08</date><risdate>1988</risdate><volume>24</volume><issue>2</issue><spage>258</spage><epage>263</epage><pages>258-263</pages><issn>0364-5134</issn><eissn>1531-8249</eissn><coden>ANNED3</coden><abstract>The Pilot Stroke Data Bank obtained information on 94 patients with intracerebral hemorrhage. These data were used to identify factors predictive of 30‐day outcome from among 85 demographic, historical, clinical, and laboratory variables generally available to clinicians on the day of admission. The 9 univariate factors statistically associated with outcome were Glasgow Coma Scale score, systolic blood pressure, pulse pressure, horizontal and vertical gaze palsies, severity of weakness, presence of brainstem‐cerebellar deficits, interval stroke course, and parenchymal hemorrhage size. Beginning with these factors, a step‐down variable selection procedure was used to derive a logistic regression model, containing only Glasgow Coma Scale score, pulse pressure, and hemorrhage size, that could be used to categorize correctly 92% of the patients as alive or dead at 30 days after onset.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>3178180</pmid><doi>10.1002/ana.410240213</doi><tpages>6</tpages></addata></record> |
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subjects | Biological and medical sciences Cerebral Hemorrhage - mortality Cerebral Hemorrhage - physiopathology Female Humans Male Medical sciences Neurology Prognosis Risk Factors Vascular diseases and vascular malformations of the nervous system |
title | Prediction of intracerebral hemorrhage survival |
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