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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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 |
doi_str_mv | 10.1155/2020/6685740 |
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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<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<0.01). The cutoff value, sensitivity, and specificity were 12.65, 76.2%, and 87.6%. Compared with patients with MPV<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 & 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 & 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<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<0.01). The cutoff value, sensitivity, and specificity were 12.65, 76.2%, and 87.6%. Compared with patients with MPV<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 & 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 & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><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>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><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></search><sort><creationdate>2020</creationdate><title>The Relationship between the Mean Platelet Volume and Carotid Atherosclerosis and Prognosis in Patients with Acute Cerebral Infarction</title><author>Xu, Min ; 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 & numerical data</topic><topic>Medical imaging</topic><topic>Medical prognosis</topic><topic>Middle Aged</topic><topic>Physiological aspects</topic><topic>Platelets</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Stenosis</topic><topic>Stroke (Disease)</topic><topic>Ultrasonic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Min</creatorcontrib><creatorcontrib>Huang, Pan</creatorcontrib><creatorcontrib>He, Xiao-ying</creatorcontrib><collection>الدوريات العلمية والإحصائية - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Min</au><au>Huang, Pan</au><au>He, Xiao-ying</au><au>Xu, Yuzhen</au><au>Yuzhen Xu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Relationship between the Mean Platelet Volume and Carotid Atherosclerosis and Prognosis in Patients with Acute Cerebral Infarction</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2020</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>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<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<0.01). The cutoff value, sensitivity, and specificity were 12.65, 76.2%, and 87.6%. Compared with patients with MPV<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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