Stress-Induced Hyperglycemia and Remote Diffusion-Weighted Imaging Lesions in Primary Intracerebral Hemorrhage
Background and Purpose Stress-induced hyperglycemia (SIH) is the relative transient increase in glucose during a critical illness such as intracerebral hemorrhage (ICH) and is likely to play an important role in the pathogenesis of remote diffusion-weighted imaging (DWI) lesion (R-DWIL) in primary I...
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creator | Ye, Xiang-hua Cai, Xue-li Nie, Dong-liang Chen, Ye-jun Li, Jia-wen Xu, Xu-hua Cai, Jin-song Liu, Zhi-rong Yin, Xin-zhen Song, Shui-jiang Tong, Lu-sha Gao, Feng |
description | Background and Purpose
Stress-induced hyperglycemia (SIH) is the relative transient increase in glucose during a critical illness such as intracerebral hemorrhage (ICH) and is likely to play an important role in the pathogenesis of remote diffusion-weighted imaging (DWI) lesion (R-DWIL) in primary ICH. We sought to determine the association between SIH and the occurrence of R-DWILs.
Methods
We prospectively enrolled primary ICH patients within 14 days after onset from November 2016 to May 2018. In these patients, cerebral magnetic resonance imaging was performed within 14 days after ICH onset. R-DWIL was defined as a hyperintensity signal in DWI with corresponding hypointensity in apparent diffusion coefficient, and at least 20 mm apart from the hematoma. SIH was measured by stress-induced hyperglycemia ratio (SHR). SHR was calculated by fasting blood glucose (FBG) divided by estimated average glucose derived from glycosylated hemoglobin. The included patients were dichotomized into two groups by the 50th percentile of SHR, and named as SHR (−P50) group and SHR (P50+) group, respectively. We evaluated the association between SHR and R-DWIL occurrence using multivariable logistic regression modeling adjusted for potential confounders.
Results
Among the 288 patients enrolled, forty-six (16.0%) of them had one or more R-DWILs. Compared with the patients in the lower 50% of SHR (SHR [−P50]), the odds ratio (OR) [95% confidence interval (CI)] for the higher 50% of SHR (SHR [P50+]) group for R-DWIL occurrence was 3.13 (1.39–7.07) in the total population and 6.33 (2.19–18.30) in population absent of background hyperglycemia after adjusting for potential covariates. Similar results were observed after further adjusted for FBG.
Conclusions
Our study demonstrated that SIH was associated with the occurrence of R-DWILs in patients with primary ICH within 14 days of symptom onset. |
doi_str_mv | 10.1007/s12028-019-00747-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2259353804</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2259353804</sourcerecordid><originalsourceid>FETCH-LOGICAL-c441t-7afd501575fd2f890603e1a6f44b65d2c1dc0fdea5f110a3e1e090875612fdc93</originalsourceid><addsrcrecordid>eNp9kU1v1DAQhi1ERUvhD3BAlrhwMR07sbM-ohbYlVYq4kMcLa89TlMlzmInh_z7ekkBiQPywR7PM6898xLyisM7DtBcZS5AbBhwzUpYN2x5Qi64lIqBVvzp6VxzpnRVnZPnOd8DiEY38hk5r_hp1XBB4tcpYc5sF_3s0NPtcsTU9ovDobPURk-_4DBOSG-6EObcjZH9wK69mwq7G2zbxZbu8XSfaRfp59QNNi10F6dkHSY8JNvTbZFI6c62-IKcBdtnfPm4X5LvHz98u96y_e2n3fX7PXN1zSfW2OAlcNnI4EXYaFBQIbcq1PVBSS8c9w6CRysD52BLDkHDppGKi-Cdri7J21X3mMafM-bJDF122Pc24jhnI4TUlaw2UBf0zT_o_TinWH5nhBagGqWFLJRYKZfGnBMGc1xbNRzMyQ2zumGKG-aXG2YpRa8fpefDgP5Pye_xF6BagVxSscX09-3_yD4A90OWYA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2920676925</pqid></control><display><type>article</type><title>Stress-Induced Hyperglycemia and Remote Diffusion-Weighted Imaging Lesions in Primary Intracerebral Hemorrhage</title><source>MEDLINE</source><source>SpringerLink Journals</source><source>ProQuest Central</source><creator>Ye, Xiang-hua ; Cai, Xue-li ; Nie, Dong-liang ; Chen, Ye-jun ; Li, Jia-wen ; Xu, Xu-hua ; Cai, Jin-song ; Liu, Zhi-rong ; Yin, Xin-zhen ; Song, Shui-jiang ; Tong, Lu-sha ; Gao, Feng</creator><creatorcontrib>Ye, Xiang-hua ; Cai, Xue-li ; Nie, Dong-liang ; Chen, Ye-jun ; Li, Jia-wen ; Xu, Xu-hua ; Cai, Jin-song ; Liu, Zhi-rong ; Yin, Xin-zhen ; Song, Shui-jiang ; Tong, Lu-sha ; Gao, Feng</creatorcontrib><description>Background and Purpose
Stress-induced hyperglycemia (SIH) is the relative transient increase in glucose during a critical illness such as intracerebral hemorrhage (ICH) and is likely to play an important role in the pathogenesis of remote diffusion-weighted imaging (DWI) lesion (R-DWIL) in primary ICH. We sought to determine the association between SIH and the occurrence of R-DWILs.
Methods
We prospectively enrolled primary ICH patients within 14 days after onset from November 2016 to May 2018. In these patients, cerebral magnetic resonance imaging was performed within 14 days after ICH onset. R-DWIL was defined as a hyperintensity signal in DWI with corresponding hypointensity in apparent diffusion coefficient, and at least 20 mm apart from the hematoma. SIH was measured by stress-induced hyperglycemia ratio (SHR). SHR was calculated by fasting blood glucose (FBG) divided by estimated average glucose derived from glycosylated hemoglobin. The included patients were dichotomized into two groups by the 50th percentile of SHR, and named as SHR (−P50) group and SHR (P50+) group, respectively. We evaluated the association between SHR and R-DWIL occurrence using multivariable logistic regression modeling adjusted for potential confounders.
Results
Among the 288 patients enrolled, forty-six (16.0%) of them had one or more R-DWILs. Compared with the patients in the lower 50% of SHR (SHR [−P50]), the odds ratio (OR) [95% confidence interval (CI)] for the higher 50% of SHR (SHR [P50+]) group for R-DWIL occurrence was 3.13 (1.39–7.07) in the total population and 6.33 (2.19–18.30) in population absent of background hyperglycemia after adjusting for potential covariates. Similar results were observed after further adjusted for FBG.
Conclusions
Our study demonstrated that SIH was associated with the occurrence of R-DWILs in patients with primary ICH within 14 days of symptom onset.</description><identifier>ISSN: 1541-6933</identifier><identifier>EISSN: 1556-0961</identifier><identifier>DOI: 10.1007/s12028-019-00747-y</identifier><identifier>PMID: 31313140</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Aged ; Blood Glucose - metabolism ; Brain - diagnostic imaging ; Brain Diseases - diagnostic imaging ; Brain Diseases - epidemiology ; Cardiovascular disease ; Cerebral Hemorrhage - complications ; Cerebral Hemorrhage - diagnostic imaging ; Creatinine ; Critical Care Medicine ; Diabetes ; Diffusion Magnetic Resonance Imaging ; Female ; Glucose ; Glycated Hemoglobin A - metabolism ; Hematoma ; Hemoglobin ; Hemorrhage ; Humans ; Hyperglycemia ; Hyperglycemia - epidemiology ; Hyperglycemia - etiology ; Hyperglycemia - metabolism ; Intensive ; Internal Medicine ; Laboratories ; Logistic Models ; Magnetic Resonance Imaging ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Multivariate Analysis ; Neurology ; Original Work ; Stress, Physiological ; Stroke ; Tomography, X-Ray Computed ; Variables</subject><ispartof>Neurocritical care, 2020-04, Vol.32 (2), p.427-436</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature and Neurocritical Care Society 2019</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature and Neurocritical Care Society 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-7afd501575fd2f890603e1a6f44b65d2c1dc0fdea5f110a3e1e090875612fdc93</citedby><cites>FETCH-LOGICAL-c441t-7afd501575fd2f890603e1a6f44b65d2c1dc0fdea5f110a3e1e090875612fdc93</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/s12028-019-00747-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2920676925?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,33722,41464,42533,43781,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31313140$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ye, Xiang-hua</creatorcontrib><creatorcontrib>Cai, Xue-li</creatorcontrib><creatorcontrib>Nie, Dong-liang</creatorcontrib><creatorcontrib>Chen, Ye-jun</creatorcontrib><creatorcontrib>Li, Jia-wen</creatorcontrib><creatorcontrib>Xu, Xu-hua</creatorcontrib><creatorcontrib>Cai, Jin-song</creatorcontrib><creatorcontrib>Liu, Zhi-rong</creatorcontrib><creatorcontrib>Yin, Xin-zhen</creatorcontrib><creatorcontrib>Song, Shui-jiang</creatorcontrib><creatorcontrib>Tong, Lu-sha</creatorcontrib><creatorcontrib>Gao, Feng</creatorcontrib><title>Stress-Induced Hyperglycemia and Remote Diffusion-Weighted Imaging Lesions in Primary Intracerebral Hemorrhage</title><title>Neurocritical care</title><addtitle>Neurocrit Care</addtitle><addtitle>Neurocrit Care</addtitle><description>Background and Purpose
Stress-induced hyperglycemia (SIH) is the relative transient increase in glucose during a critical illness such as intracerebral hemorrhage (ICH) and is likely to play an important role in the pathogenesis of remote diffusion-weighted imaging (DWI) lesion (R-DWIL) in primary ICH. We sought to determine the association between SIH and the occurrence of R-DWILs.
Methods
We prospectively enrolled primary ICH patients within 14 days after onset from November 2016 to May 2018. In these patients, cerebral magnetic resonance imaging was performed within 14 days after ICH onset. R-DWIL was defined as a hyperintensity signal in DWI with corresponding hypointensity in apparent diffusion coefficient, and at least 20 mm apart from the hematoma. SIH was measured by stress-induced hyperglycemia ratio (SHR). SHR was calculated by fasting blood glucose (FBG) divided by estimated average glucose derived from glycosylated hemoglobin. The included patients were dichotomized into two groups by the 50th percentile of SHR, and named as SHR (−P50) group and SHR (P50+) group, respectively. We evaluated the association between SHR and R-DWIL occurrence using multivariable logistic regression modeling adjusted for potential confounders.
Results
Among the 288 patients enrolled, forty-six (16.0%) of them had one or more R-DWILs. Compared with the patients in the lower 50% of SHR (SHR [−P50]), the odds ratio (OR) [95% confidence interval (CI)] for the higher 50% of SHR (SHR [P50+]) group for R-DWIL occurrence was 3.13 (1.39–7.07) in the total population and 6.33 (2.19–18.30) in population absent of background hyperglycemia after adjusting for potential covariates. Similar results were observed after further adjusted for FBG.
Conclusions
Our study demonstrated that SIH was associated with the occurrence of R-DWILs in patients with primary ICH within 14 days of symptom onset.</description><subject>Aged</subject><subject>Blood Glucose - metabolism</subject><subject>Brain - diagnostic imaging</subject><subject>Brain Diseases - diagnostic imaging</subject><subject>Brain Diseases - epidemiology</subject><subject>Cardiovascular disease</subject><subject>Cerebral Hemorrhage - complications</subject><subject>Cerebral Hemorrhage - diagnostic imaging</subject><subject>Creatinine</subject><subject>Critical Care Medicine</subject><subject>Diabetes</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Female</subject><subject>Glucose</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Hematoma</subject><subject>Hemoglobin</subject><subject>Hemorrhage</subject><subject>Humans</subject><subject>Hyperglycemia</subject><subject>Hyperglycemia - epidemiology</subject><subject>Hyperglycemia - etiology</subject><subject>Hyperglycemia - metabolism</subject><subject>Intensive</subject><subject>Internal Medicine</subject><subject>Laboratories</subject><subject>Logistic Models</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neurology</subject><subject>Original Work</subject><subject>Stress, Physiological</subject><subject>Stroke</subject><subject>Tomography, X-Ray Computed</subject><subject>Variables</subject><issn>1541-6933</issn><issn>1556-0961</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU1v1DAQhi1ERUvhD3BAlrhwMR07sbM-ohbYlVYq4kMcLa89TlMlzmInh_z7ekkBiQPywR7PM6898xLyisM7DtBcZS5AbBhwzUpYN2x5Qi64lIqBVvzp6VxzpnRVnZPnOd8DiEY38hk5r_hp1XBB4tcpYc5sF_3s0NPtcsTU9ovDobPURk-_4DBOSG-6EObcjZH9wK69mwq7G2zbxZbu8XSfaRfp59QNNi10F6dkHSY8JNvTbZFI6c62-IKcBdtnfPm4X5LvHz98u96y_e2n3fX7PXN1zSfW2OAlcNnI4EXYaFBQIbcq1PVBSS8c9w6CRysD52BLDkHDppGKi-Cdri7J21X3mMafM-bJDF122Pc24jhnI4TUlaw2UBf0zT_o_TinWH5nhBagGqWFLJRYKZfGnBMGc1xbNRzMyQ2zumGKG-aXG2YpRa8fpefDgP5Pye_xF6BagVxSscX09-3_yD4A90OWYA</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Ye, Xiang-hua</creator><creator>Cai, Xue-li</creator><creator>Nie, Dong-liang</creator><creator>Chen, Ye-jun</creator><creator>Li, Jia-wen</creator><creator>Xu, Xu-hua</creator><creator>Cai, Jin-song</creator><creator>Liu, Zhi-rong</creator><creator>Yin, Xin-zhen</creator><creator>Song, Shui-jiang</creator><creator>Tong, Lu-sha</creator><creator>Gao, Feng</creator><general>Springer US</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20200401</creationdate><title>Stress-Induced Hyperglycemia and Remote Diffusion-Weighted Imaging Lesions in Primary Intracerebral Hemorrhage</title><author>Ye, Xiang-hua ; Cai, Xue-li ; Nie, Dong-liang ; Chen, Ye-jun ; Li, Jia-wen ; Xu, Xu-hua ; Cai, Jin-song ; Liu, Zhi-rong ; Yin, Xin-zhen ; Song, Shui-jiang ; Tong, Lu-sha ; Gao, Feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-7afd501575fd2f890603e1a6f44b65d2c1dc0fdea5f110a3e1e090875612fdc93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Blood Glucose - metabolism</topic><topic>Brain - diagnostic imaging</topic><topic>Brain Diseases - diagnostic imaging</topic><topic>Brain Diseases - epidemiology</topic><topic>Cardiovascular disease</topic><topic>Cerebral Hemorrhage - complications</topic><topic>Cerebral Hemorrhage - diagnostic imaging</topic><topic>Creatinine</topic><topic>Critical Care Medicine</topic><topic>Diabetes</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Female</topic><topic>Glucose</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>Hematoma</topic><topic>Hemoglobin</topic><topic>Hemorrhage</topic><topic>Humans</topic><topic>Hyperglycemia</topic><topic>Hyperglycemia - epidemiology</topic><topic>Hyperglycemia - etiology</topic><topic>Hyperglycemia - metabolism</topic><topic>Intensive</topic><topic>Internal Medicine</topic><topic>Laboratories</topic><topic>Logistic Models</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Neurology</topic><topic>Original Work</topic><topic>Stress, Physiological</topic><topic>Stroke</topic><topic>Tomography, X-Ray Computed</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Xiang-hua</creatorcontrib><creatorcontrib>Cai, Xue-li</creatorcontrib><creatorcontrib>Nie, Dong-liang</creatorcontrib><creatorcontrib>Chen, Ye-jun</creatorcontrib><creatorcontrib>Li, Jia-wen</creatorcontrib><creatorcontrib>Xu, Xu-hua</creatorcontrib><creatorcontrib>Cai, Jin-song</creatorcontrib><creatorcontrib>Liu, Zhi-rong</creatorcontrib><creatorcontrib>Yin, Xin-zhen</creatorcontrib><creatorcontrib>Song, Shui-jiang</creatorcontrib><creatorcontrib>Tong, Lu-sha</creatorcontrib><creatorcontrib>Gao, Feng</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>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Neurocritical care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Xiang-hua</au><au>Cai, Xue-li</au><au>Nie, Dong-liang</au><au>Chen, Ye-jun</au><au>Li, Jia-wen</au><au>Xu, Xu-hua</au><au>Cai, Jin-song</au><au>Liu, Zhi-rong</au><au>Yin, Xin-zhen</au><au>Song, Shui-jiang</au><au>Tong, Lu-sha</au><au>Gao, Feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stress-Induced Hyperglycemia and Remote Diffusion-Weighted Imaging Lesions in Primary Intracerebral Hemorrhage</atitle><jtitle>Neurocritical care</jtitle><stitle>Neurocrit Care</stitle><addtitle>Neurocrit Care</addtitle><date>2020-04-01</date><risdate>2020</risdate><volume>32</volume><issue>2</issue><spage>427</spage><epage>436</epage><pages>427-436</pages><issn>1541-6933</issn><eissn>1556-0961</eissn><abstract>Background and Purpose
Stress-induced hyperglycemia (SIH) is the relative transient increase in glucose during a critical illness such as intracerebral hemorrhage (ICH) and is likely to play an important role in the pathogenesis of remote diffusion-weighted imaging (DWI) lesion (R-DWIL) in primary ICH. We sought to determine the association between SIH and the occurrence of R-DWILs.
Methods
We prospectively enrolled primary ICH patients within 14 days after onset from November 2016 to May 2018. In these patients, cerebral magnetic resonance imaging was performed within 14 days after ICH onset. R-DWIL was defined as a hyperintensity signal in DWI with corresponding hypointensity in apparent diffusion coefficient, and at least 20 mm apart from the hematoma. SIH was measured by stress-induced hyperglycemia ratio (SHR). SHR was calculated by fasting blood glucose (FBG) divided by estimated average glucose derived from glycosylated hemoglobin. The included patients were dichotomized into two groups by the 50th percentile of SHR, and named as SHR (−P50) group and SHR (P50+) group, respectively. We evaluated the association between SHR and R-DWIL occurrence using multivariable logistic regression modeling adjusted for potential confounders.
Results
Among the 288 patients enrolled, forty-six (16.0%) of them had one or more R-DWILs. Compared with the patients in the lower 50% of SHR (SHR [−P50]), the odds ratio (OR) [95% confidence interval (CI)] for the higher 50% of SHR (SHR [P50+]) group for R-DWIL occurrence was 3.13 (1.39–7.07) in the total population and 6.33 (2.19–18.30) in population absent of background hyperglycemia after adjusting for potential covariates. Similar results were observed after further adjusted for FBG.
Conclusions
Our study demonstrated that SIH was associated with the occurrence of R-DWILs in patients with primary ICH within 14 days of symptom onset.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>31313140</pmid><doi>10.1007/s12028-019-00747-y</doi><tpages>10</tpages></addata></record> |
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subjects | Aged Blood Glucose - metabolism Brain - diagnostic imaging Brain Diseases - diagnostic imaging Brain Diseases - epidemiology Cardiovascular disease Cerebral Hemorrhage - complications Cerebral Hemorrhage - diagnostic imaging Creatinine Critical Care Medicine Diabetes Diffusion Magnetic Resonance Imaging Female Glucose Glycated Hemoglobin A - metabolism Hematoma Hemoglobin Hemorrhage Humans Hyperglycemia Hyperglycemia - epidemiology Hyperglycemia - etiology Hyperglycemia - metabolism Intensive Internal Medicine Laboratories Logistic Models Magnetic Resonance Imaging Male Medicine Medicine & Public Health Middle Aged Multivariate Analysis Neurology Original Work Stress, Physiological Stroke Tomography, X-Ray Computed Variables |
title | Stress-Induced Hyperglycemia and Remote Diffusion-Weighted Imaging Lesions in Primary Intracerebral Hemorrhage |
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