The Relationship between the Mean Platelet Volume and Carotid Atherosclerosis and Prognosis in Patients with Acute Cerebral Infarction

Objective. To investigate the relationship between mean platelet volume (MPV) level and carotid atherosclerosis and prognosis in patients with acute cerebral infarction. Methods. A retrospectively included 160 patients with acute cerebral infarction classified by TOAST classification as aortic ather...

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Veröffentlicht in:BioMed research international 2020, Vol.2020 (2020), p.1-6
Hauptverfasser: Xu, Min, Huang, Pan, He, Xiao-ying
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description Objective. To investigate the relationship between mean platelet volume (MPV) level and carotid atherosclerosis and prognosis in patients with acute cerebral infarction. Methods. A retrospectively included 160 patients with acute cerebral infarction classified by TOAST classification as aortic atherosclerosis as the observation group. To analyze the relationship between MPV and carotid atherosclerosis, and use receiver operating characteristic (ROC) curves to analyze the role of MPV in predicting the prognosis of acute cerebral infarction in the observation group, grouping patients with different MPV by cut-off value, and analyze the differences in factors between the two groups of patients.Results. MPV has a positive correlation with carotid atherosclerosis in patients with acute cerebral infarction. Multivariate logistic regression analysis revealed that increased MPV was an independent predictor of poor functional outcome in patients with acute cerebral infarction (Odds Ratio (OR): 6.152, 95% CI: 2.385-13.625, P
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To investigate the relationship between mean platelet volume (MPV) level and carotid atherosclerosis and prognosis in patients with acute cerebral infarction. Methods. A retrospectively included 160 patients with acute cerebral infarction classified by TOAST classification as aortic atherosclerosis as the observation group. To analyze the relationship between MPV and carotid atherosclerosis, and use receiver operating characteristic (ROC) curves to analyze the role of MPV in predicting the prognosis of acute cerebral infarction in the observation group, grouping patients with different MPV by cut-off value, and analyze the differences in factors between the two groups of patients.Results. MPV has a positive correlation with carotid atherosclerosis in patients with acute cerebral infarction. Multivariate logistic regression analysis revealed that increased MPV was an independent predictor of poor functional outcome in patients with acute cerebral infarction (Odds Ratio (OR): 6.152, 95% CI: 2.385-13.625, P&lt;0.01). ROC curve analysis showed that the area under the curve for MPV to predict poor prognosis was 0.868 (95% CI: 0.787-949, P&lt;0.01). The cutoff value, sensitivity, and specificity were 12.65, 76.2%, and 87.6%. Compared with patients with MPV&lt;12.65 at admission, patients with higher MPV levels (MPV≥12.65) at admission have larger infarct size, more severe carotid artery stenosis, poor short-term prognosis, and higher mortality. Conclusion. MPV level is closely related to the degree of carotid atherosclerosis in patients with acute cerebral infarction, and it is also an independent predictor of poor prognosis in patients with acute cerebral infarction at 3 months.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2020/6685740</identifier><identifier>PMID: 33490251</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Acute Disease ; Adult ; Aged ; Aged, 80 and over ; Aorta ; Arteriosclerosis ; Atherosclerosis ; Blood platelets ; Blood pressure ; Cardiovascular disease ; Carotid arteries ; Carotid artery ; Carotid Artery Diseases - blood ; Carotid Artery Diseases - complications ; Carotid Artery Diseases - diagnosis ; Carotid Artery Diseases - epidemiology ; Cerebral infarction ; Cerebral Infarction - blood ; Cerebral Infarction - complications ; Cerebral Infarction - diagnosis ; Cerebral Infarction - epidemiology ; Correlation analysis ; Diabetes ; Drugs ; Female ; Flow velocity ; Hospitals ; Humans ; Hypertension ; Infarction ; Male ; Mean Platelet Volume - statistics &amp; numerical data ; Medical imaging ; Medical prognosis ; Middle Aged ; Physiological aspects ; Platelets ; Predictive Value of Tests ; Prognosis ; Regression analysis ; Retrospective Studies ; Stenosis ; Stroke (Disease) ; Ultrasonic imaging</subject><ispartof>BioMed research international, 2020, Vol.2020 (2020), p.1-6</ispartof><rights>Copyright © 2020 Min Xu et al.</rights><rights>COPYRIGHT 2020 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2020 Min Xu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2020 Min Xu et al. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-c6050de7f1fe95103f3e381eb634a0d55bb919bd76a474b4c400afc2fc29390f3</citedby><cites>FETCH-LOGICAL-c499t-c6050de7f1fe95103f3e381eb634a0d55bb919bd76a474b4c400afc2fc29390f3</cites><orcidid>0000-0002-2747-0227 ; 0000-0002-5927-0369 ; 0000-0001-8187-7637</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790567/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790567/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,4010,27900,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33490251$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Xu, Yuzhen</contributor><contributor>Yuzhen Xu</contributor><creatorcontrib>Xu, Min</creatorcontrib><creatorcontrib>Huang, Pan</creatorcontrib><creatorcontrib>He, Xiao-ying</creatorcontrib><title>The Relationship between the Mean Platelet Volume and Carotid Atherosclerosis and Prognosis in Patients with Acute Cerebral Infarction</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Objective. To investigate the relationship between mean platelet volume (MPV) level and carotid atherosclerosis and prognosis in patients with acute cerebral infarction. Methods. A retrospectively included 160 patients with acute cerebral infarction classified by TOAST classification as aortic atherosclerosis as the observation group. To analyze the relationship between MPV and carotid atherosclerosis, and use receiver operating characteristic (ROC) curves to analyze the role of MPV in predicting the prognosis of acute cerebral infarction in the observation group, grouping patients with different MPV by cut-off value, and analyze the differences in factors between the two groups of patients.Results. MPV has a positive correlation with carotid atherosclerosis in patients with acute cerebral infarction. Multivariate logistic regression analysis revealed that increased MPV was an independent predictor of poor functional outcome in patients with acute cerebral infarction (Odds Ratio (OR): 6.152, 95% CI: 2.385-13.625, P&lt;0.01). ROC curve analysis showed that the area under the curve for MPV to predict poor prognosis was 0.868 (95% CI: 0.787-949, P&lt;0.01). The cutoff value, sensitivity, and specificity were 12.65, 76.2%, and 87.6%. Compared with patients with MPV&lt;12.65 at admission, patients with higher MPV levels (MPV≥12.65) at admission have larger infarct size, more severe carotid artery stenosis, poor short-term prognosis, and higher mortality. Conclusion. MPV level is closely related to the degree of carotid atherosclerosis in patients with acute cerebral infarction, and it is also an independent predictor of poor prognosis in patients with acute cerebral infarction at 3 months.</description><subject>Acute Disease</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aorta</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Blood platelets</subject><subject>Blood pressure</subject><subject>Cardiovascular disease</subject><subject>Carotid arteries</subject><subject>Carotid artery</subject><subject>Carotid Artery Diseases - blood</subject><subject>Carotid Artery Diseases - complications</subject><subject>Carotid Artery Diseases - diagnosis</subject><subject>Carotid Artery Diseases - epidemiology</subject><subject>Cerebral infarction</subject><subject>Cerebral Infarction - blood</subject><subject>Cerebral Infarction - complications</subject><subject>Cerebral Infarction - diagnosis</subject><subject>Cerebral Infarction - epidemiology</subject><subject>Correlation analysis</subject><subject>Diabetes</subject><subject>Drugs</subject><subject>Female</subject><subject>Flow velocity</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Infarction</subject><subject>Male</subject><subject>Mean Platelet Volume - statistics &amp; numerical data</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Middle Aged</subject><subject>Physiological aspects</subject><subject>Platelets</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Stenosis</subject><subject>Stroke (Disease)</subject><subject>Ultrasonic imaging</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkktvEzEQx1cIRKvSG2dkiQsShNrrx8YXpCjiUamIChWultc7Tlxt7GDvEvEF-NzMNiEFTliWH5qf_zPjmap6yuhrxqS8qGlNL5Say0bQB9VpzZmYKSbYw-OZ85PqvJRbimPOFNXqcXXCudC0luy0-nmzBvIZejuEFMs6bEkLww4gkgENH8FGco1G6GEgX1M_boDY2JGlzWkIHVkglVNx_bSGcme7zmkV724BH6MwxKGQXRjWZOHGAcgSMrTZ9uQyepvd5PlJ9cjbvsD5YT-rvrx7e7P8MLv69P5yubiaOaH1MHOKStpB45kHLRnlngOfM2gVF5Z2UratZrrtGmVFI1rhBKXWuxqn5pp6fla92etux3YDncPQMBCzzWFj8w-TbDB_W2JYm1X6bppGU6kaFHhxEMjp2whlMJtQHPS9jZDGYmoxp1gLrTiiz_9Bb9OYI6aHVKMQZELcUyvbgwnRJ_TrJlGzUFoKJBuF1Ks95fCfSwZ_DJlRM3WCmTrBHDoB8Wd_pnmEf9cdgZd7YB1iZ3fhP-UAGfD2nmZcMSr4L33yxZk</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Xu, Min</creator><creator>Huang, Pan</creator><creator>He, Xiao-ying</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley &amp; 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Huang, Pan ; He, Xiao-ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-c6050de7f1fe95103f3e381eb634a0d55bb919bd76a474b4c400afc2fc29390f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acute Disease</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aorta</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Blood platelets</topic><topic>Blood pressure</topic><topic>Cardiovascular disease</topic><topic>Carotid arteries</topic><topic>Carotid artery</topic><topic>Carotid Artery Diseases - blood</topic><topic>Carotid Artery Diseases - complications</topic><topic>Carotid Artery Diseases - diagnosis</topic><topic>Carotid Artery Diseases - epidemiology</topic><topic>Cerebral infarction</topic><topic>Cerebral Infarction - blood</topic><topic>Cerebral Infarction - complications</topic><topic>Cerebral Infarction - diagnosis</topic><topic>Cerebral Infarction - epidemiology</topic><topic>Correlation analysis</topic><topic>Diabetes</topic><topic>Drugs</topic><topic>Female</topic><topic>Flow velocity</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Infarction</topic><topic>Male</topic><topic>Mean Platelet Volume - statistics &amp; 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To investigate the relationship between mean platelet volume (MPV) level and carotid atherosclerosis and prognosis in patients with acute cerebral infarction. Methods. A retrospectively included 160 patients with acute cerebral infarction classified by TOAST classification as aortic atherosclerosis as the observation group. To analyze the relationship between MPV and carotid atherosclerosis, and use receiver operating characteristic (ROC) curves to analyze the role of MPV in predicting the prognosis of acute cerebral infarction in the observation group, grouping patients with different MPV by cut-off value, and analyze the differences in factors between the two groups of patients.Results. MPV has a positive correlation with carotid atherosclerosis in patients with acute cerebral infarction. Multivariate logistic regression analysis revealed that increased MPV was an independent predictor of poor functional outcome in patients with acute cerebral infarction (Odds Ratio (OR): 6.152, 95% CI: 2.385-13.625, P&lt;0.01). ROC curve analysis showed that the area under the curve for MPV to predict poor prognosis was 0.868 (95% CI: 0.787-949, P&lt;0.01). The cutoff value, sensitivity, and specificity were 12.65, 76.2%, and 87.6%. Compared with patients with MPV&lt;12.65 at admission, patients with higher MPV levels (MPV≥12.65) at admission have larger infarct size, more severe carotid artery stenosis, poor short-term prognosis, and higher mortality. Conclusion. MPV level is closely related to the degree of carotid atherosclerosis in patients with acute cerebral infarction, and it is also an independent predictor of poor prognosis in patients with acute cerebral infarction at 3 months.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>33490251</pmid><doi>10.1155/2020/6685740</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-2747-0227</orcidid><orcidid>https://orcid.org/0000-0002-5927-0369</orcidid><orcidid>https://orcid.org/0000-0001-8187-7637</orcidid><oa>free_for_read</oa></addata></record>
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subjects Acute Disease
Adult
Aged
Aged, 80 and over
Aorta
Arteriosclerosis
Atherosclerosis
Blood platelets
Blood pressure
Cardiovascular disease
Carotid arteries
Carotid artery
Carotid Artery Diseases - blood
Carotid Artery Diseases - complications
Carotid Artery Diseases - diagnosis
Carotid Artery Diseases - epidemiology
Cerebral infarction
Cerebral Infarction - blood
Cerebral Infarction - complications
Cerebral Infarction - diagnosis
Cerebral Infarction - epidemiology
Correlation analysis
Diabetes
Drugs
Female
Flow velocity
Hospitals
Humans
Hypertension
Infarction
Male
Mean Platelet Volume - statistics & numerical data
Medical imaging
Medical prognosis
Middle Aged
Physiological aspects
Platelets
Predictive Value of Tests
Prognosis
Regression analysis
Retrospective Studies
Stenosis
Stroke (Disease)
Ultrasonic imaging
title The Relationship between the Mean Platelet Volume and Carotid Atherosclerosis and Prognosis in Patients with Acute Cerebral Infarction
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