{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T16:09:36Z","timestamp":1790352576689,"version":"4.1.0"},"reference-count":25,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"8","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2016,8,8]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Intracerebral hemorrhage (\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              ) carries high risk for short\u2010term mortality. We sought to identify race\u2010specific predictors of mortality in\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              patients.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              We used 2 databases, the Johns Hopkins clinical stroke database and the Nationwide Inpatient Sample (\n              <jats:styled-content style=\"fixed-case\">NIS<\/jats:styled-content>\n              ). We included 226 patients with the primary diagnosis of spontaneous\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              from our stroke database between 2010 and 2013; in the\n              <jats:styled-content style=\"fixed-case\">NIS<\/jats:styled-content>\n              , 42\u00a0077 patients met inclusion criteria. Logistic regression was used to assess differences in predictors of mortality in blacks compared to whites. In our clinical stroke database, Glasgow Coma Scale (\n              <jats:styled-content style=\"fixed-case\">GCS<\/jats:styled-content>\n              ;\n              <jats:italic>P<\/jats:italic>\n              =0.016),\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              volume (\n              <jats:italic>P<\/jats:italic>\n              =0.013), intraventricular haemorrhage (\n              <jats:styled-content style=\"fixed-case\">IVH<\/jats:styled-content>\n              ;\n              <jats:italic>P<\/jats:italic>\n              =0.023), and diabetes mellitus (\n              <jats:italic>P<\/jats:italic>\n              =0.037) were predictors of mortality in blacks, whereas\n              <jats:styled-content style=\"fixed-case\">GCS<\/jats:styled-content>\n              (\n              <jats:italic>P<\/jats:italic>\n              =0.007),\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              volume (\n              <jats:italic>P<\/jats:italic>\n              =0.005), age (\n              <jats:italic>P<\/jats:italic>\n              =0.002), chronic kidney disease (\n              <jats:italic>P<\/jats:italic>\n              =0.003), and smoking (\n              <jats:italic>P<\/jats:italic>\n              =0.010) predicted mortality in whites. Among patients with\n              <jats:styled-content style=\"fixed-case\">IVH<\/jats:styled-content>\n              , blacks had over 7 times higher odds of mortality compared to whites (odds ratio [\n              <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n              ], 7.27;\n              <jats:italic>P<\/jats:italic>\n              value for interaction, 0.017) and were more likely to present with hydrocephalus (\n              <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n              , 2.76;\n              <jats:italic>P<\/jats:italic>\n              =0.026). In the\n              <jats:styled-content style=\"fixed-case\">NIS<\/jats:styled-content>\n              , black\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              patients had higher rates of external ventricular drain (\n              <jats:styled-content style=\"fixed-case\">EVD<\/jats:styled-content>\n              ) placement compared to whites (9.7% vs 5.0%;\n              <jats:italic>P<\/jats:italic>\n              &lt;0.001) and were more likely to develop hydrocephalus (\n              <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n              , 1.32; 95%\n              <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n              , 1.20\u20131.46). Comparison of a race\u2010specific\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              score to the original\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              score showed that the various\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              score components have differential relevance for\n              <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n              score performance by race.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              <jats:styled-content style=\"fixed-case\">IVH<\/jats:styled-content>\n              and age differentially predict mortality among blacks and whites. Blacks have higher rates of obstructive hydrocephalus and more frequently require\n              <jats:styled-content style=\"fixed-case\">EVD<\/jats:styled-content>\n              placement compared to their white counterparts.\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.116.003540","type":"journal-article","created":{"date-parts":[[2016,8,17]],"date-time":"2016-08-17T01:29:21Z","timestamp":1471397361000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":20,"title":["Race\u2010Specific Predictors of Mortality in Intracerebral Hemorrhage: Differential Impacts of Intraventricular Hemorrhage and Age Among Blacks and Whites"],"prefix":"10.1161","volume":"5","author":[{"given":"Roland","family":"Faigle","sequence":"first","affiliation":[{"name":"Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabeth B.","family":"Marsh","sequence":"additional","affiliation":[{"name":"Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael H.","family":"Llinas","sequence":"additional","affiliation":[{"name":"Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor C.","family":"Urrutia","sequence":"additional","affiliation":[{"name":"Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rebecca F.","family":"Gottesman","sequence":"additional","affiliation":[{"name":"Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2014.7692"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0b013e3182009701"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.111.000529"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.52.8.1617"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12028-012-9793-y"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199203123261103"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.114.005620"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(09)70340-0"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/ana.410290614"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.24.7.987"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.44.1.133"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1097\/00003246-199505000-00026"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.32.4.891"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000089493.23505.CA"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000047847.18178.D3"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000018666.74574.9B"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000174293.17959.a1"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000032240.28636.BD"},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/0895-4356(92)90133-8"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.111.617639"},{"key":"e_1_3_3_22_2","first-page":"45","article-title":"Refinement of the Medicare diagnosis\u2010related groups to incorporate a measure of severity","volume":"16","author":"Edwards N","year":"1994","unstructured":"Edwards N, Honemann D, Burley D, Navarro M. Refinement of the Medicare diagnosis\u2010related groups to incorporate a measure of severity. Health Care Financ Rev. 1994;16:45\u201364.","journal-title":"Health Care Financ Rev"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.14.4.493"},{"key":"e_1_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.28.1.1"},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.29.7.1352"},{"key":"e_1_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1097\/MLR.0b013e3181ef9d53"}],"container-title":["Journal of the American Heart Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ahajournals.org\/doi\/full\/10.1161\/JAHA.116.003540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T10:18:56Z","timestamp":1715595536000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ahajournals.org\/doi\/10.1161\/JAHA.116.003540"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,8]]},"references-count":25,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2016,8,8]]}},"alternative-id":["10.1161\/JAHA.116.003540"],"URL":"https:\/\/doi.org\/10.1161\/jaha.116.003540","relation":{},"ISSN":["2047-9980"],"issn-type":[{"value":"2047-9980","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,8,8]]},"assertion":[{"value":"2016-03-10","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2016-07-06","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2016-08-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e003540"}}