The unsupervised machine learning to analyze the use strategy of statins for ischaemic stroke patients with elevated transaminase
Statins could elevate hepatic transaminase in ischemic stroke patients. There needed to be more evidence on which method stopped statins or adjusting the dose of statins was better for patients. And no evidence showed which way more suit for some patients. We collected ischaemic stroke patients with...
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| Veröffentlicht in: | Clinical neurology and neurosurgery 2023-09, Vol.232, p.107900, Article 107900 |
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| creator | Cui, Chaohua Li, Yuchuan Liu, Shaohui Wang, Ping Huang, Zhonghua |
| description | Statins could elevate hepatic transaminase in ischemic stroke patients. There needed to be more evidence on which method stopped statins or adjusting the dose of statins was better for patients. And no evidence showed which way more suit for some patients.
We collected ischaemic stroke patients with elevated hepatic transaminase when they take statins. The outcome was a recurrent stroke rate, transaminase value after stopping or adjusted, mortality, and favorable functional outcome (FFO). We compare outcome events between the stopped group and the adjustment group. We grouped all patients by unsupervised machine learning and analyzed data characters by the different groups.
The patients stopping statins had a higher stroke recurrence and rate of FFO (mRS 0–2), a lower mean value of transaminase, and mortality. By difference unsupervised machine learning group, the km2 group had the lowest stroke recurrence (p = 0.046), lowest mortality (p = 0.049), and highest FFO (p = 0.023). The patients of the km2 group were younger (p |
| doi_str_mv | 10.1016/j.clineuro.2023.107900 |
| format | Article |
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We collected ischaemic stroke patients with elevated hepatic transaminase when they take statins. The outcome was a recurrent stroke rate, transaminase value after stopping or adjusted, mortality, and favorable functional outcome (FFO). We compare outcome events between the stopped group and the adjustment group. We grouped all patients by unsupervised machine learning and analyzed data characters by the different groups.
The patients stopping statins had a higher stroke recurrence and rate of FFO (mRS 0–2), a lower mean value of transaminase, and mortality. By difference unsupervised machine learning group, the km2 group had the lowest stroke recurrence (p = 0.046), lowest mortality (p = 0.049), and highest FFO (p = 0.023). The patients of the km2 group were younger (p < 0.001), more male (p < 0.001), had lesser National Institutes of Health Stroke Scale (NIHSS) scores (p < 0.001), and had slightly higher values of blood pressure (p = 0.002). The group of unsupervised machine learning could improve models’ performance.
For ischemic patients with elevated hepatic transaminase, stopping statins temporarily was a better choice of treatment strategy. These patients who were younger, male, with a lesser NIHSS score at admission and a slightly higher blood lipid value at admission, could have had a better prognosis.
•Unsupervised machine learning to analyse data.•Stopping statins temporarily was a feasible.•Younger males with lesser NIHSS were better prognosis.</description><identifier>ISSN: 0303-8467</identifier><identifier>ISSN: 1872-6968</identifier><identifier>EISSN: 1872-6968</identifier><identifier>DOI: 10.1016/j.clineuro.2023.107900</identifier><identifier>PMID: 37478641</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Blood pressure ; Chi-square test ; Cluster analysis ; Clustering ; Drug dosages ; Hemorrhage ; Ischemia ; Ischemic stroke ; Learning algorithms ; Libraries ; Liver ; Machine learning ; Mortality ; Neurology ; Regression analysis ; Statins ; Statistical analysis ; Stroke ; Supervised machine learning ; Transaminase ; Unsupervised machine learning</subject><ispartof>Clinical neurology and neurosurgery, 2023-09, Vol.232, p.107900, Article 107900</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.</rights><rights>2023. The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-365f5b704c25e0bc025ca2bc266707c29cc791b75f727bcac5ad7fe1d244eb243</citedby><cites>FETCH-LOGICAL-c444t-365f5b704c25e0bc025ca2bc266707c29cc791b75f727bcac5ad7fe1d244eb243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2863283795?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994,64384,64386,64388,72240</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37478641$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cui, Chaohua</creatorcontrib><creatorcontrib>Li, Yuchuan</creatorcontrib><creatorcontrib>Liu, Shaohui</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Huang, Zhonghua</creatorcontrib><title>The unsupervised machine learning to analyze the use strategy of statins for ischaemic stroke patients with elevated transaminase</title><title>Clinical neurology and neurosurgery</title><addtitle>Clin Neurol Neurosurg</addtitle><description>Statins could elevate hepatic transaminase in ischemic stroke patients. There needed to be more evidence on which method stopped statins or adjusting the dose of statins was better for patients. And no evidence showed which way more suit for some patients.
We collected ischaemic stroke patients with elevated hepatic transaminase when they take statins. The outcome was a recurrent stroke rate, transaminase value after stopping or adjusted, mortality, and favorable functional outcome (FFO). We compare outcome events between the stopped group and the adjustment group. We grouped all patients by unsupervised machine learning and analyzed data characters by the different groups.
The patients stopping statins had a higher stroke recurrence and rate of FFO (mRS 0–2), a lower mean value of transaminase, and mortality. By difference unsupervised machine learning group, the km2 group had the lowest stroke recurrence (p = 0.046), lowest mortality (p = 0.049), and highest FFO (p = 0.023). The patients of the km2 group were younger (p < 0.001), more male (p < 0.001), had lesser National Institutes of Health Stroke Scale (NIHSS) scores (p < 0.001), and had slightly higher values of blood pressure (p = 0.002). The group of unsupervised machine learning could improve models’ performance.
For ischemic patients with elevated hepatic transaminase, stopping statins temporarily was a better choice of treatment strategy. These patients who were younger, male, with a lesser NIHSS score at admission and a slightly higher blood lipid value at admission, could have had a better prognosis.
•Unsupervised machine learning to analyse data.•Stopping statins temporarily was a feasible.•Younger males with lesser NIHSS were better prognosis.</description><subject>Blood pressure</subject><subject>Chi-square test</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Drug dosages</subject><subject>Hemorrhage</subject><subject>Ischemia</subject><subject>Ischemic stroke</subject><subject>Learning algorithms</subject><subject>Libraries</subject><subject>Liver</subject><subject>Machine learning</subject><subject>Mortality</subject><subject>Neurology</subject><subject>Regression analysis</subject><subject>Statins</subject><subject>Statistical analysis</subject><subject>Stroke</subject><subject>Supervised machine learning</subject><subject>Transaminase</subject><subject>Unsupervised machine learning</subject><issn>0303-8467</issn><issn>1872-6968</issn><issn>1872-6968</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkUFv1DAQhS0EotvCX6gsceGSxbEdO7mBKqBIlbiUs-VMJl0vib3YzqLlxj_H0bYcuHDyyPO9Z-s9Qq5rtq1Zrd7ttzA5j0sMW864KJe6Y-wZ2dSt5pXqVPucbJhgomql0hfkMqU9Y0wI1b4kF0JL3SpZb8jv-x3SxaflgPHoEg50trArznRCG73zDzQHar2dTr-Q5hVOSFOONuPDiYaxzDY7n-gYInUJdhZnBysRviM9lB36nOhPl3cUJzwW3UCL3Cc7O28TviIvRjslfP14XpFvnz7e39xWd18_f7n5cFeBlDJXQjVj02smgTfIemC8Act74EpppoF3ALqre92MmuseLDR20CPWA5cSey7FFXl79j3E8GPBlM1cvovTZD2GJRneyppxLWRT0Df_oPuwxJLBSinBW6G7lVJnCmJIKeJoDtHNNp5Mzcxaktmbp5LMWpI5l1SE14_2Sz_j8Ff21EoB3p8BLHkcHUaToMQIOLiIkM0Q3P_e-AOTlakl</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Cui, Chaohua</creator><creator>Li, Yuchuan</creator><creator>Liu, Shaohui</creator><creator>Wang, Ping</creator><creator>Huang, Zhonghua</creator><general>Elsevier B.V</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20230901</creationdate><title>The unsupervised machine learning to analyze the use strategy of statins for ischaemic stroke patients with elevated transaminase</title><author>Cui, Chaohua ; Li, Yuchuan ; Liu, Shaohui ; Wang, Ping ; Huang, Zhonghua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c444t-365f5b704c25e0bc025ca2bc266707c29cc791b75f727bcac5ad7fe1d244eb243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Blood pressure</topic><topic>Chi-square test</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Drug dosages</topic><topic>Hemorrhage</topic><topic>Ischemia</topic><topic>Ischemic stroke</topic><topic>Learning algorithms</topic><topic>Libraries</topic><topic>Liver</topic><topic>Machine learning</topic><topic>Mortality</topic><topic>Neurology</topic><topic>Regression analysis</topic><topic>Statins</topic><topic>Statistical analysis</topic><topic>Stroke</topic><topic>Supervised machine learning</topic><topic>Transaminase</topic><topic>Unsupervised machine learning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cui, Chaohua</creatorcontrib><creatorcontrib>Li, Yuchuan</creatorcontrib><creatorcontrib>Liu, Shaohui</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Huang, Zhonghua</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database (ProQuest)</collection><collection>ProQuest_Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical neurology and neurosurgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cui, Chaohua</au><au>Li, Yuchuan</au><au>Liu, Shaohui</au><au>Wang, Ping</au><au>Huang, Zhonghua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The unsupervised machine learning to analyze the use strategy of statins for ischaemic stroke patients with elevated transaminase</atitle><jtitle>Clinical neurology and neurosurgery</jtitle><addtitle>Clin Neurol Neurosurg</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>232</volume><spage>107900</spage><pages>107900-</pages><artnum>107900</artnum><issn>0303-8467</issn><issn>1872-6968</issn><eissn>1872-6968</eissn><abstract>Statins could elevate hepatic transaminase in ischemic stroke patients. There needed to be more evidence on which method stopped statins or adjusting the dose of statins was better for patients. And no evidence showed which way more suit for some patients.
We collected ischaemic stroke patients with elevated hepatic transaminase when they take statins. The outcome was a recurrent stroke rate, transaminase value after stopping or adjusted, mortality, and favorable functional outcome (FFO). We compare outcome events between the stopped group and the adjustment group. We grouped all patients by unsupervised machine learning and analyzed data characters by the different groups.
The patients stopping statins had a higher stroke recurrence and rate of FFO (mRS 0–2), a lower mean value of transaminase, and mortality. By difference unsupervised machine learning group, the km2 group had the lowest stroke recurrence (p = 0.046), lowest mortality (p = 0.049), and highest FFO (p = 0.023). The patients of the km2 group were younger (p < 0.001), more male (p < 0.001), had lesser National Institutes of Health Stroke Scale (NIHSS) scores (p < 0.001), and had slightly higher values of blood pressure (p = 0.002). The group of unsupervised machine learning could improve models’ performance.
For ischemic patients with elevated hepatic transaminase, stopping statins temporarily was a better choice of treatment strategy. These patients who were younger, male, with a lesser NIHSS score at admission and a slightly higher blood lipid value at admission, could have had a better prognosis.
•Unsupervised machine learning to analyse data.•Stopping statins temporarily was a feasible.•Younger males with lesser NIHSS were better prognosis.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>37478641</pmid><doi>10.1016/j.clineuro.2023.107900</doi><oa>free_for_read</oa></addata></record> |
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| source | Elsevier ScienceDirect Journals Complete; ProQuest Central |
| subjects | Blood pressure Chi-square test Cluster analysis Clustering Drug dosages Hemorrhage Ischemia Ischemic stroke Learning algorithms Libraries Liver Machine learning Mortality Neurology Regression analysis Statins Statistical analysis Stroke Supervised machine learning Transaminase Unsupervised machine learning |
| title | The unsupervised machine learning to analyze the use strategy of statins for ischaemic stroke patients with elevated transaminase |
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