Hematoma shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma?
To investigate the performance of hematoma shape, hematoma size, Glasgow coma scale (GCS) score, and intracerebral hematoma (ICH) score in predicting the 30-day mortality for ICH patients. To examine the influence of the estimation error of hematoma size on the prediction of 30-day mortality. This r...
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| creator | Wang, Chih-Wei Liu, Yi-Jui Lee, Yi-Hsiung Hueng, Dueng-Yuan Fan, Hueng-Chuen Yang, Fu-Chi Hsueh, Chun-Jen Kao, Hung-Wen Juan, Chun-Jung Hsu, Hsian-He |
| description | To investigate the performance of hematoma shape, hematoma size, Glasgow coma scale (GCS) score, and intracerebral hematoma (ICH) score in predicting the 30-day mortality for ICH patients. To examine the influence of the estimation error of hematoma size on the prediction of 30-day mortality.
This retrospective study, approved by a local institutional review board with written informed consent waived, recruited 106 patients diagnosed as ICH by non-enhanced computed tomography study. The hemorrhagic shape, hematoma size measured by computer-assisted volumetric analysis (CAVA) and estimated by ABC/2 formula, ICH score and GCS score was examined. The predicting performance of 30-day mortality of the aforementioned variables was evaluated. Statistical analysis was performed using Kolmogorov-Smirnov tests, paired t test, nonparametric test, linear regression analysis, and binary logistic regression. The receiver operating characteristics curves were plotted and areas under curve (AUC) were calculated for 30-day mortality. A P value less than 0.05 was considered as statistically significant.
The overall 30-day mortality rate was 15.1% of ICH patients. The hematoma shape, hematoma size, ICH score, and GCS score all significantly predict the 30-day mortality for ICH patients, with an AUC of 0.692 (P = 0.0018), 0.715 (P = 0.0008) (by ABC/2) to 0.738 (P = 0.0002) (by CAVA), 0.877 (P |
| doi_str_mv | 10.1371/journal.pone.0102326 |
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This retrospective study, approved by a local institutional review board with written informed consent waived, recruited 106 patients diagnosed as ICH by non-enhanced computed tomography study. The hemorrhagic shape, hematoma size measured by computer-assisted volumetric analysis (CAVA) and estimated by ABC/2 formula, ICH score and GCS score was examined. The predicting performance of 30-day mortality of the aforementioned variables was evaluated. Statistical analysis was performed using Kolmogorov-Smirnov tests, paired t test, nonparametric test, linear regression analysis, and binary logistic regression. The receiver operating characteristics curves were plotted and areas under curve (AUC) were calculated for 30-day mortality. A P value less than 0.05 was considered as statistically significant.
The overall 30-day mortality rate was 15.1% of ICH patients. The hematoma shape, hematoma size, ICH score, and GCS score all significantly predict the 30-day mortality for ICH patients, with an AUC of 0.692 (P = 0.0018), 0.715 (P = 0.0008) (by ABC/2) to 0.738 (P = 0.0002) (by CAVA), 0.877 (P<0.0001) (by ABC/2) to 0.882 (P<0.0001) (by CAVA), and 0.912 (P<0.0001), respectively.
Our study shows that hematoma shape, hematoma size, ICH scores and GCS score all significantly predict the 30-day mortality in an increasing order of AUC. The effect of overestimation of hematoma size by ABC/2 formula in predicting the 30-day mortality could be remedied by using ICH score.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0102326</identifier><identifier>PMID: 25029592</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Area Under Curve ; Blood ; Cerebral Hemorrhage - diagnosis ; Cerebral Hemorrhage - mortality ; Coma ; Computed tomography ; Cone-Beam Computed Tomography ; Estimation errors ; Glasgow Coma Scale ; Health aspects ; Hematoma ; Hematoma - pathology ; Hemorrhage ; Hospitals ; Humans ; Informed consent ; Medical imaging ; Medicine and Health Sciences ; Mortality ; Neurology ; Patients ; Performance prediction ; Predictive Value of Tests ; Prognosis ; Regression Analysis ; Research Design ; Retrospective Studies ; Review boards ; Statistical analysis ; Statistics, Nonparametric ; Stroke ; Volumetric analysis</subject><ispartof>PloS one, 2014-07, Vol.9 (7), p.e102326</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Wang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Wang et al 2014 Wang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-b2b461c02fd4c892d7e791f3843c562887609e70ccece7ada511a2077bcc29aa3</citedby><cites>FETCH-LOGICAL-c758t-b2b461c02fd4c892d7e791f3843c562887609e70ccece7ada511a2077bcc29aa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100880/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100880/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23853,27911,27912,53778,53780,79357,79358</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25029592$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Sherman, Jon</contributor><creatorcontrib>Wang, Chih-Wei</creatorcontrib><creatorcontrib>Liu, Yi-Jui</creatorcontrib><creatorcontrib>Lee, Yi-Hsiung</creatorcontrib><creatorcontrib>Hueng, Dueng-Yuan</creatorcontrib><creatorcontrib>Fan, Hueng-Chuen</creatorcontrib><creatorcontrib>Yang, Fu-Chi</creatorcontrib><creatorcontrib>Hsueh, Chun-Jen</creatorcontrib><creatorcontrib>Kao, Hung-Wen</creatorcontrib><creatorcontrib>Juan, Chun-Jung</creatorcontrib><creatorcontrib>Hsu, Hsian-He</creatorcontrib><title>Hematoma shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma?</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To investigate the performance of hematoma shape, hematoma size, Glasgow coma scale (GCS) score, and intracerebral hematoma (ICH) score in predicting the 30-day mortality for ICH patients. To examine the influence of the estimation error of hematoma size on the prediction of 30-day mortality.
This retrospective study, approved by a local institutional review board with written informed consent waived, recruited 106 patients diagnosed as ICH by non-enhanced computed tomography study. The hemorrhagic shape, hematoma size measured by computer-assisted volumetric analysis (CAVA) and estimated by ABC/2 formula, ICH score and GCS score was examined. The predicting performance of 30-day mortality of the aforementioned variables was evaluated. Statistical analysis was performed using Kolmogorov-Smirnov tests, paired t test, nonparametric test, linear regression analysis, and binary logistic regression. The receiver operating characteristics curves were plotted and areas under curve (AUC) were calculated for 30-day mortality. A P value less than 0.05 was considered as statistically significant.
The overall 30-day mortality rate was 15.1% of ICH patients. The hematoma shape, hematoma size, ICH score, and GCS score all significantly predict the 30-day mortality for ICH patients, with an AUC of 0.692 (P = 0.0018), 0.715 (P = 0.0008) (by ABC/2) to 0.738 (P = 0.0002) (by CAVA), 0.877 (P<0.0001) (by ABC/2) to 0.882 (P<0.0001) (by CAVA), and 0.912 (P<0.0001), respectively.
Our study shows that hematoma shape, hematoma size, ICH scores and GCS score all significantly predict the 30-day mortality in an increasing order of AUC. The effect of overestimation of hematoma size by ABC/2 formula in predicting the 30-day mortality could be remedied by using ICH score.</description><subject>Area Under Curve</subject><subject>Blood</subject><subject>Cerebral Hemorrhage - diagnosis</subject><subject>Cerebral Hemorrhage - mortality</subject><subject>Coma</subject><subject>Computed tomography</subject><subject>Cone-Beam Computed Tomography</subject><subject>Estimation errors</subject><subject>Glasgow Coma Scale</subject><subject>Health aspects</subject><subject>Hematoma</subject><subject>Hematoma - pathology</subject><subject>Hemorrhage</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Informed consent</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Neurology</subject><subject>Patients</subject><subject>Performance prediction</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Regression Analysis</subject><subject>Research Design</subject><subject>Retrospective Studies</subject><subject>Review boards</subject><subject>Statistical analysis</subject><subject>Statistics, Nonparametric</subject><subject>Stroke</subject><subject>Volumetric 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shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma?</title><author>Wang, Chih-Wei ; Liu, Yi-Jui ; Lee, Yi-Hsiung ; Hueng, Dueng-Yuan ; Fan, Hueng-Chuen ; Yang, Fu-Chi ; Hsueh, Chun-Jen ; Kao, Hung-Wen ; Juan, Chun-Jung ; Hsu, Hsian-He</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-b2b461c02fd4c892d7e791f3843c562887609e70ccece7ada511a2077bcc29aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Area Under Curve</topic><topic>Blood</topic><topic>Cerebral Hemorrhage - diagnosis</topic><topic>Cerebral Hemorrhage - mortality</topic><topic>Coma</topic><topic>Computed tomography</topic><topic>Cone-Beam Computed Tomography</topic><topic>Estimation errors</topic><topic>Glasgow Coma Scale</topic><topic>Health aspects</topic><topic>Hematoma</topic><topic>Hematoma - 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Yi-Hsiung</au><au>Hueng, Dueng-Yuan</au><au>Fan, Hueng-Chuen</au><au>Yang, Fu-Chi</au><au>Hsueh, Chun-Jen</au><au>Kao, Hung-Wen</au><au>Juan, Chun-Jung</au><au>Hsu, Hsian-He</au><au>Sherman, Jon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hematoma shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma?</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-07-16</date><risdate>2014</risdate><volume>9</volume><issue>7</issue><spage>e102326</spage><pages>e102326-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To investigate the performance of hematoma shape, hematoma size, Glasgow coma scale (GCS) score, and intracerebral hematoma (ICH) score in predicting the 30-day mortality for ICH patients. To examine the influence of the estimation error of hematoma size on the prediction of 30-day mortality.
This retrospective study, approved by a local institutional review board with written informed consent waived, recruited 106 patients diagnosed as ICH by non-enhanced computed tomography study. The hemorrhagic shape, hematoma size measured by computer-assisted volumetric analysis (CAVA) and estimated by ABC/2 formula, ICH score and GCS score was examined. The predicting performance of 30-day mortality of the aforementioned variables was evaluated. Statistical analysis was performed using Kolmogorov-Smirnov tests, paired t test, nonparametric test, linear regression analysis, and binary logistic regression. The receiver operating characteristics curves were plotted and areas under curve (AUC) were calculated for 30-day mortality. A P value less than 0.05 was considered as statistically significant.
The overall 30-day mortality rate was 15.1% of ICH patients. The hematoma shape, hematoma size, ICH score, and GCS score all significantly predict the 30-day mortality for ICH patients, with an AUC of 0.692 (P = 0.0018), 0.715 (P = 0.0008) (by ABC/2) to 0.738 (P = 0.0002) (by CAVA), 0.877 (P<0.0001) (by ABC/2) to 0.882 (P<0.0001) (by CAVA), and 0.912 (P<0.0001), respectively.
Our study shows that hematoma shape, hematoma size, ICH scores and GCS score all significantly predict the 30-day mortality in an increasing order of AUC. The effect of overestimation of hematoma size by ABC/2 formula in predicting the 30-day mortality could be remedied by using ICH score.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25029592</pmid><doi>10.1371/journal.pone.0102326</doi><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Area Under Curve Blood Cerebral Hemorrhage - diagnosis Cerebral Hemorrhage - mortality Coma Computed tomography Cone-Beam Computed Tomography Estimation errors Glasgow Coma Scale Health aspects Hematoma Hematoma - pathology Hemorrhage Hospitals Humans Informed consent Medical imaging Medicine and Health Sciences Mortality Neurology Patients Performance prediction Predictive Value of Tests Prognosis Regression Analysis Research Design Retrospective Studies Review boards Statistical analysis Statistics, Nonparametric Stroke Volumetric analysis |
| title | Hematoma shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma? |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T10%3A40%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hematoma%20shape,%20hematoma%20size,%20Glasgow%20coma%20scale%20score%20and%20ICH%20score:%20which%20predicts%20the%2030-day%20mortality%20better%20for%20intracerebral%20hematoma?&rft.jtitle=PloS%20one&rft.au=Wang,%20Chih-Wei&rft.date=2014-07-16&rft.volume=9&rft.issue=7&rft.spage=e102326&rft.pages=e102326-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0102326&rft_dat=%3Cgale_plos_%3EA418529909%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1545532044&rft_id=info:pmid/25029592&rft_galeid=A418529909&rft_doaj_id=oai_doaj_org_article_02dd87f3a780458a9b8940fa9d98c0c2&rfr_iscdi=true |