Prediction scale of cerebrovascular disease subtypes for high-risk population
Cerebrovascular disease can be roughly divided into 2 subtypes: Cerebral ischemia (CI) and cerebral hemorrhage (CH). No scale currently exist that can predict the subtypes of cerebrovascular diseases. This study aims to establish a prediction scale for the subtypes of cerebrovascular diseases. A tot...
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| Veröffentlicht in: | Zhong nan da xue xue bao. Journal of Central South University. Yi xue ban 2022-07, Vol.47 (7), p.928-935 |
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| container_title | Zhong nan da xue xue bao. Journal of Central South University. Yi xue ban |
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| creator | Yan, Wenguang Chen, Ru Hu, Hao Xu, Jiamiao Zheng, Wen Song, Zhi |
| description | Cerebrovascular disease can be roughly divided into 2 subtypes: Cerebral ischemia (CI) and cerebral hemorrhage (CH). No scale currently exist that can predict the subtypes of cerebrovascular diseases. This study aims to establish a prediction scale for the subtypes of cerebrovascular diseases.
A total of 1 200 cerebrovascular disease patients were included in this study, data from 1 081 (90%) patients were used to establish the CI-CH risk scale, and data from 119 (10%) patients were used to test it. Risk factors for the CI-CH risk scale were identified by 2 screens, with two-tailed student's
-test and two-tailed Fisher's exact test preliminarily and with logistic regression analysis further. The scores of each risk factor for CI-CH risk scale were determined according to the odds rate, and the cut-off point was determined by Youden index.
Nine risk factors were ultimately selected for score system, including age (≥75 years old was -1, |
| doi_str_mv | 10.11817/j.issn.1672-7347.2022.210724 |
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| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10930293</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2708261915</sourcerecordid><originalsourceid>FETCH-LOGICAL-p182t-acfafffce5abf014c8c80713b99505ae5e282f41a8ee47ab0d5952d58d80669d3</originalsourceid><addsrcrecordid>eNpVkEtLAzEUhbNQbKn9C5KN4GbGPCaTZCVSfEFFF7oeMpmbNnU6GZMZwX9vi1X0bC7cc_gOHITOKckpVVRebnKfUpfTUrJM8kLmjDCWM0okK47Q9Pc_QfOUNoQQJuheJ2jCS8K10GSKHp8jNN4OPnQ4WdMCDg5biFDH8GGSHVsTceMTmAQ4jfXw2UPCLkS89qt1Fn16w33od7E94hQdO9MmmB_uDL3e3rws7rPl093D4nqZ9VSxITPWGeecBWFqR2hhlVVEUl5rLYgwIIAp5gpqFEAhTU0aoQVrhGoUKUvd8Bm6-ub2Y72FxkI3RNNWffRbEz-rYHz13-n8ulqFj4oSzQnTfEe4OBBieB8hDdXWJwttazoIY6qYJIqVVFOxi579Lftt-RmRfwHdF3j9</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2708261915</pqid></control><display><type>article</type><title>Prediction scale of cerebrovascular disease subtypes for high-risk population</title><source>MEDLINE</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Yan, Wenguang ; Chen, Ru ; Hu, Hao ; Xu, Jiamiao ; Zheng, Wen ; Song, Zhi</creator><creatorcontrib>Yan, Wenguang ; Chen, Ru ; Hu, Hao ; Xu, Jiamiao ; Zheng, Wen ; Song, Zhi</creatorcontrib><description>Cerebrovascular disease can be roughly divided into 2 subtypes: Cerebral ischemia (CI) and cerebral hemorrhage (CH). No scale currently exist that can predict the subtypes of cerebrovascular diseases. This study aims to establish a prediction scale for the subtypes of cerebrovascular diseases.
A total of 1 200 cerebrovascular disease patients were included in this study, data from 1 081 (90%) patients were used to establish the CI-CH risk scale, and data from 119 (10%) patients were used to test it. Risk factors for the CI-CH risk scale were identified by 2 screens, with two-tailed student's
-test and two-tailed Fisher's exact test preliminarily and with logistic regression analysis further. The scores of each risk factor for CI-CH risk scale were determined according to the odds rate, and the cut-off point was determined by Youden index.
Nine risk factors were ultimately selected for score system, including age (≥75 years old was -1, <75 years old was 0), BMI (<24 kg/m
was 0, 24-28 kg/m
was -1, >28 kg/m
was -2), hypertension grade (grade 1 was 1, grade 2 was 2, and grade 3 was 3), diabetes status (no was 0, yes was -1), antihypertensive drug use (no was 0, yes was -2), alcohol consumption (<60 g/d was 1, ≥60 g/d was 2), uric acid (less than normal was 0, normal was -1, high than normal was -2), LDL cholesterol (<2 mmol/L was 0, 2-4 mmol/L was -1, and >4 mmol/L was -2), and HDL cholesterol (<1.55 mmol/L was 0, ≥1.55 mmol/L was 2). Patients with a score more than 0 were classified as the CH group, Conversely, they were assigned to the CI group; its sensitivity, specificity, and accuracy were 74.5%, 77.9%, and 76.4%, respectively.
The CI-CH risk scale can help the clinician predict the subtypes of cerebrovascular diseases.</description><identifier>ISSN: 1672-7347</identifier><identifier>DOI: 10.11817/j.issn.1672-7347.2022.210724</identifier><identifier>PMID: 36039590</identifier><language>eng</language><publisher>China: Central South University Press</publisher><subject>Aged ; Brain Ischemia ; Cerebral Hemorrhage ; Cholesterol, HDL ; Cholesterol, LDL ; Humans ; Risk Factors ; Triglycerides</subject><ispartof>Zhong nan da xue xue bao. Journal of Central South University. Yi xue ban, 2022-07, Vol.47 (7), p.928-935</ispartof><rights>Journal of Central South University (Medical Science). All rights reserved. 2022</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10930293/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10930293/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36039590$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yan, Wenguang</creatorcontrib><creatorcontrib>Chen, Ru</creatorcontrib><creatorcontrib>Hu, Hao</creatorcontrib><creatorcontrib>Xu, Jiamiao</creatorcontrib><creatorcontrib>Zheng, Wen</creatorcontrib><creatorcontrib>Song, Zhi</creatorcontrib><title>Prediction scale of cerebrovascular disease subtypes for high-risk population</title><title>Zhong nan da xue xue bao. Journal of Central South University. Yi xue ban</title><addtitle>Zhong Nan Da Xue Xue Bao Yi Xue Ban</addtitle><description>Cerebrovascular disease can be roughly divided into 2 subtypes: Cerebral ischemia (CI) and cerebral hemorrhage (CH). No scale currently exist that can predict the subtypes of cerebrovascular diseases. This study aims to establish a prediction scale for the subtypes of cerebrovascular diseases.
A total of 1 200 cerebrovascular disease patients were included in this study, data from 1 081 (90%) patients were used to establish the CI-CH risk scale, and data from 119 (10%) patients were used to test it. Risk factors for the CI-CH risk scale were identified by 2 screens, with two-tailed student's
-test and two-tailed Fisher's exact test preliminarily and with logistic regression analysis further. The scores of each risk factor for CI-CH risk scale were determined according to the odds rate, and the cut-off point was determined by Youden index.
Nine risk factors were ultimately selected for score system, including age (≥75 years old was -1, <75 years old was 0), BMI (<24 kg/m
was 0, 24-28 kg/m
was -1, >28 kg/m
was -2), hypertension grade (grade 1 was 1, grade 2 was 2, and grade 3 was 3), diabetes status (no was 0, yes was -1), antihypertensive drug use (no was 0, yes was -2), alcohol consumption (<60 g/d was 1, ≥60 g/d was 2), uric acid (less than normal was 0, normal was -1, high than normal was -2), LDL cholesterol (<2 mmol/L was 0, 2-4 mmol/L was -1, and >4 mmol/L was -2), and HDL cholesterol (<1.55 mmol/L was 0, ≥1.55 mmol/L was 2). Patients with a score more than 0 were classified as the CH group, Conversely, they were assigned to the CI group; its sensitivity, specificity, and accuracy were 74.5%, 77.9%, and 76.4%, respectively.
The CI-CH risk scale can help the clinician predict the subtypes of cerebrovascular diseases.</description><subject>Aged</subject><subject>Brain Ischemia</subject><subject>Cerebral Hemorrhage</subject><subject>Cholesterol, HDL</subject><subject>Cholesterol, LDL</subject><subject>Humans</subject><subject>Risk Factors</subject><subject>Triglycerides</subject><issn>1672-7347</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkEtLAzEUhbNQbKn9C5KN4GbGPCaTZCVSfEFFF7oeMpmbNnU6GZMZwX9vi1X0bC7cc_gOHITOKckpVVRebnKfUpfTUrJM8kLmjDCWM0okK47Q9Pc_QfOUNoQQJuheJ2jCS8K10GSKHp8jNN4OPnQ4WdMCDg5biFDH8GGSHVsTceMTmAQ4jfXw2UPCLkS89qt1Fn16w33od7E94hQdO9MmmB_uDL3e3rws7rPl093D4nqZ9VSxITPWGeecBWFqR2hhlVVEUl5rLYgwIIAp5gpqFEAhTU0aoQVrhGoUKUvd8Bm6-ub2Y72FxkI3RNNWffRbEz-rYHz13-n8ulqFj4oSzQnTfEe4OBBieB8hDdXWJwttazoIY6qYJIqVVFOxi579Lftt-RmRfwHdF3j9</recordid><startdate>20220728</startdate><enddate>20220728</enddate><creator>Yan, Wenguang</creator><creator>Chen, Ru</creator><creator>Hu, Hao</creator><creator>Xu, Jiamiao</creator><creator>Zheng, Wen</creator><creator>Song, Zhi</creator><general>Central South University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20220728</creationdate><title>Prediction scale of cerebrovascular disease subtypes for high-risk population</title><author>Yan, Wenguang ; Chen, Ru ; Hu, Hao ; Xu, Jiamiao ; Zheng, Wen ; Song, Zhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p182t-acfafffce5abf014c8c80713b99505ae5e282f41a8ee47ab0d5952d58d80669d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aged</topic><topic>Brain Ischemia</topic><topic>Cerebral Hemorrhage</topic><topic>Cholesterol, HDL</topic><topic>Cholesterol, LDL</topic><topic>Humans</topic><topic>Risk Factors</topic><topic>Triglycerides</topic><toplevel>online_resources</toplevel><creatorcontrib>Yan, Wenguang</creatorcontrib><creatorcontrib>Chen, Ru</creatorcontrib><creatorcontrib>Hu, Hao</creatorcontrib><creatorcontrib>Xu, Jiamiao</creatorcontrib><creatorcontrib>Zheng, Wen</creatorcontrib><creatorcontrib>Song, Zhi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Zhong nan da xue xue bao. Journal of Central South University. Yi xue ban</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yan, Wenguang</au><au>Chen, Ru</au><au>Hu, Hao</au><au>Xu, Jiamiao</au><au>Zheng, Wen</au><au>Song, Zhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction scale of cerebrovascular disease subtypes for high-risk population</atitle><jtitle>Zhong nan da xue xue bao. Journal of Central South University. Yi xue ban</jtitle><addtitle>Zhong Nan Da Xue Xue Bao Yi Xue Ban</addtitle><date>2022-07-28</date><risdate>2022</risdate><volume>47</volume><issue>7</issue><spage>928</spage><epage>935</epage><pages>928-935</pages><issn>1672-7347</issn><abstract>Cerebrovascular disease can be roughly divided into 2 subtypes: Cerebral ischemia (CI) and cerebral hemorrhage (CH). No scale currently exist that can predict the subtypes of cerebrovascular diseases. This study aims to establish a prediction scale for the subtypes of cerebrovascular diseases.
A total of 1 200 cerebrovascular disease patients were included in this study, data from 1 081 (90%) patients were used to establish the CI-CH risk scale, and data from 119 (10%) patients were used to test it. Risk factors for the CI-CH risk scale were identified by 2 screens, with two-tailed student's
-test and two-tailed Fisher's exact test preliminarily and with logistic regression analysis further. The scores of each risk factor for CI-CH risk scale were determined according to the odds rate, and the cut-off point was determined by Youden index.
Nine risk factors were ultimately selected for score system, including age (≥75 years old was -1, <75 years old was 0), BMI (<24 kg/m
was 0, 24-28 kg/m
was -1, >28 kg/m
was -2), hypertension grade (grade 1 was 1, grade 2 was 2, and grade 3 was 3), diabetes status (no was 0, yes was -1), antihypertensive drug use (no was 0, yes was -2), alcohol consumption (<60 g/d was 1, ≥60 g/d was 2), uric acid (less than normal was 0, normal was -1, high than normal was -2), LDL cholesterol (<2 mmol/L was 0, 2-4 mmol/L was -1, and >4 mmol/L was -2), and HDL cholesterol (<1.55 mmol/L was 0, ≥1.55 mmol/L was 2). Patients with a score more than 0 were classified as the CH group, Conversely, they were assigned to the CI group; its sensitivity, specificity, and accuracy were 74.5%, 77.9%, and 76.4%, respectively.
The CI-CH risk scale can help the clinician predict the subtypes of cerebrovascular diseases.</abstract><cop>China</cop><pub>Central South University Press</pub><pmid>36039590</pmid><doi>10.11817/j.issn.1672-7347.2022.210724</doi><tpages>8</tpages></addata></record> |
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| source | MEDLINE; PubMed Central; Alma/SFX Local Collection |
| subjects | Aged Brain Ischemia Cerebral Hemorrhage Cholesterol, HDL Cholesterol, LDL Humans Risk Factors Triglycerides |
| title | Prediction scale of cerebrovascular disease subtypes for high-risk population |
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