Plasma BNP Levels and Diuretics Use as Predictors of Cardiovascular Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance
Purpose Although impaired glucose tolerance (IGT) promotes cardiovascular events, our Alpha-glucosidase-inhibitor Blocks Cardiac Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance (ABC) study showed that alpha-glucosidase inhibitors do not prevent cardiovascular events in p...
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Veröffentlicht in: | Cardiovascular drugs and therapy 2020-02, Vol.34 (1), p.79-88 |
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creator | Shindo, Kazuhiro Fukuda, Hiroki Hitsumoto, Tatsuro Ito, Shin Kim, Jiyoong Washio, Takashi Kitakaze, Masafumi |
description | Purpose
Although impaired glucose tolerance (IGT) promotes cardiovascular events, our Alpha-glucosidase-inhibitor Blocks Cardiac Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance (ABC) study showed that alpha-glucosidase inhibitors do not prevent cardiovascular events in patients with myocardial infarction (MI) and IGT. The aim of the present study was to identify potential clinical factors for cardiovascular events in patients with MI and IGT.
Methods
Using the limitless-arity multiple testing procedure, an artificial intelligence (AI)–based data mining method, we analyzed 385,391 combinations of fewer than four clinical parameters.
Results
We identified 380 combinations predicting the occurrence of (1) all-cause hospitalization, (2) hospitalization due to worsening of heart failure (HF), (3) hospitalization due to non-fatal MI, and (4) hospitalization due to percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for stable angina among 385,391 combinations in 853 patients. Among these, either plasma BNP levels ≥ 200 pg/dl or diuretic use exclusively predicted (1) all-cause hospitalization, (2) hospitalization due to worsening of HF, and (3) hospitalization due to a non-fatal MI, with plasma BNP levels ≥ 200 pg/dl being the sole predictor of hospitalization due to PCI and CABG. Importantly, each finding was verified by independently drawn Kaplan–Meier curves, revealing the unexpected role of plasma BNP levels in the progression of coronary stenosis determined as the necessity of PCI and CABG for stable angina.
Conclusions
In patients with MI and IGT, high plasma BNP levels predicted the occurrence of coronary stenosis, recurrent MI, and worsening of HF, whereas diuretic use did not predict the progression of coronary stenosis but non-fatal MI and worsening of HF. |
doi_str_mv | 10.1007/s10557-019-06922-9 |
format | Article |
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Although impaired glucose tolerance (IGT) promotes cardiovascular events, our Alpha-glucosidase-inhibitor Blocks Cardiac Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance (ABC) study showed that alpha-glucosidase inhibitors do not prevent cardiovascular events in patients with myocardial infarction (MI) and IGT. The aim of the present study was to identify potential clinical factors for cardiovascular events in patients with MI and IGT.
Methods
Using the limitless-arity multiple testing procedure, an artificial intelligence (AI)–based data mining method, we analyzed 385,391 combinations of fewer than four clinical parameters.
Results
We identified 380 combinations predicting the occurrence of (1) all-cause hospitalization, (2) hospitalization due to worsening of heart failure (HF), (3) hospitalization due to non-fatal MI, and (4) hospitalization due to percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for stable angina among 385,391 combinations in 853 patients. Among these, either plasma BNP levels ≥ 200 pg/dl or diuretic use exclusively predicted (1) all-cause hospitalization, (2) hospitalization due to worsening of HF, and (3) hospitalization due to a non-fatal MI, with plasma BNP levels ≥ 200 pg/dl being the sole predictor of hospitalization due to PCI and CABG. Importantly, each finding was verified by independently drawn Kaplan–Meier curves, revealing the unexpected role of plasma BNP levels in the progression of coronary stenosis determined as the necessity of PCI and CABG for stable angina.
Conclusions
In patients with MI and IGT, high plasma BNP levels predicted the occurrence of coronary stenosis, recurrent MI, and worsening of HF, whereas diuretic use did not predict the progression of coronary stenosis but non-fatal MI and worsening of HF.</description><identifier>ISSN: 0920-3206</identifier><identifier>EISSN: 1573-7241</identifier><identifier>DOI: 10.1007/s10557-019-06922-9</identifier><identifier>PMID: 32076931</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Angina ; Angina pectoris ; Artificial intelligence ; Cardiology ; Congestive heart failure ; Coronary artery ; Data mining ; Diuretics ; Electrocardiography ; Glucose ; Glucose tolerance ; Glucosidase ; Health risk assessment ; Heart attacks ; Heart surgery ; Immunological tolerance ; Medicine ; Medicine & Public Health ; Myocardial infarction ; Original Article ; Parameter identification ; Plasma ; Stenosis ; α-Glucosidase</subject><ispartof>Cardiovascular drugs and therapy, 2020-02, Vol.34 (1), p.79-88</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Cardiovascular Drugs and Therapy is a copyright of Springer, (2020). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-afceb7b688eb8b0f482537ca21ee758ae803ec2689dddecc21c52e3b091a3b463</citedby><cites>FETCH-LOGICAL-c375t-afceb7b688eb8b0f482537ca21ee758ae803ec2689dddecc21c52e3b091a3b463</cites><orcidid>0000-0001-5157-4213</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10557-019-06922-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10557-019-06922-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32076931$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shindo, Kazuhiro</creatorcontrib><creatorcontrib>Fukuda, Hiroki</creatorcontrib><creatorcontrib>Hitsumoto, Tatsuro</creatorcontrib><creatorcontrib>Ito, Shin</creatorcontrib><creatorcontrib>Kim, Jiyoong</creatorcontrib><creatorcontrib>Washio, Takashi</creatorcontrib><creatorcontrib>Kitakaze, Masafumi</creatorcontrib><title>Plasma BNP Levels and Diuretics Use as Predictors of Cardiovascular Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance</title><title>Cardiovascular drugs and therapy</title><addtitle>Cardiovasc Drugs Ther</addtitle><addtitle>Cardiovasc Drugs Ther</addtitle><description>Purpose
Although impaired glucose tolerance (IGT) promotes cardiovascular events, our Alpha-glucosidase-inhibitor Blocks Cardiac Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance (ABC) study showed that alpha-glucosidase inhibitors do not prevent cardiovascular events in patients with myocardial infarction (MI) and IGT. The aim of the present study was to identify potential clinical factors for cardiovascular events in patients with MI and IGT.
Methods
Using the limitless-arity multiple testing procedure, an artificial intelligence (AI)–based data mining method, we analyzed 385,391 combinations of fewer than four clinical parameters.
Results
We identified 380 combinations predicting the occurrence of (1) all-cause hospitalization, (2) hospitalization due to worsening of heart failure (HF), (3) hospitalization due to non-fatal MI, and (4) hospitalization due to percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for stable angina among 385,391 combinations in 853 patients. Among these, either plasma BNP levels ≥ 200 pg/dl or diuretic use exclusively predicted (1) all-cause hospitalization, (2) hospitalization due to worsening of HF, and (3) hospitalization due to a non-fatal MI, with plasma BNP levels ≥ 200 pg/dl being the sole predictor of hospitalization due to PCI and CABG. Importantly, each finding was verified by independently drawn Kaplan–Meier curves, revealing the unexpected role of plasma BNP levels in the progression of coronary stenosis determined as the necessity of PCI and CABG for stable angina.
Conclusions
In patients with MI and IGT, high plasma BNP levels predicted the occurrence of coronary stenosis, recurrent MI, and worsening of HF, whereas diuretic use did not predict the progression of coronary stenosis but non-fatal MI and worsening of HF.</description><subject>Angina</subject><subject>Angina pectoris</subject><subject>Artificial intelligence</subject><subject>Cardiology</subject><subject>Congestive heart failure</subject><subject>Coronary artery</subject><subject>Data mining</subject><subject>Diuretics</subject><subject>Electrocardiography</subject><subject>Glucose</subject><subject>Glucose tolerance</subject><subject>Glucosidase</subject><subject>Health risk assessment</subject><subject>Heart attacks</subject><subject>Heart surgery</subject><subject>Immunological tolerance</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Myocardial infarction</subject><subject>Original Article</subject><subject>Parameter identification</subject><subject>Plasma</subject><subject>Stenosis</subject><subject>α-Glucosidase</subject><issn>0920-3206</issn><issn>1573-7241</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kc1uEzEUhS0EoqHwAiyQJTZspvgnHo-XEEobKUAW7Xp0x3MHXHnsYM8E9S14ZJykgMSC1bWuv3POlQ4hLzm74Izpt5kzpXTFuKlYbYSozCOy4ErLSoslf0wWzAhWScHqM_Is5ztWRMY0T8lZ2enaSL4gP7ce8gj0_ect3eAefaYQevrBzQknZzO9zUgh023C3tkppkzjQFeQehf3kO3sIdHLPYYpUxfoFiZ3fP9w0zf66T7aAwmersMAyU4uhqP_etyBK5b0ys82loib6DFBsPicPBnAZ3zxMM_J7cfLm9V1tflytV6921RWajVVMFjsdFc3DXZNx4ZlI5TUFgRH1KoBbJhEK-rG9H2P1gpulUDZMcNBdstanpM3J99dit9nzFM7umzRewgY59wKqYw0jWKqoK__Qe_inEK5rlAlV9Vam0KJE2VTzDnh0O6SGyHdt5y1h77aU19t6as99tUeRK8erOduxP6P5HdBBZAnIJev8BXT3-z_2P4C-QmiUA</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Shindo, Kazuhiro</creator><creator>Fukuda, Hiroki</creator><creator>Hitsumoto, Tatsuro</creator><creator>Ito, Shin</creator><creator>Kim, Jiyoong</creator><creator>Washio, Takashi</creator><creator>Kitakaze, Masafumi</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7Z</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5157-4213</orcidid></search><sort><creationdate>20200201</creationdate><title>Plasma BNP Levels and Diuretics Use as Predictors of Cardiovascular Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance</title><author>Shindo, Kazuhiro ; Fukuda, Hiroki ; Hitsumoto, Tatsuro ; Ito, Shin ; Kim, Jiyoong ; Washio, Takashi ; Kitakaze, Masafumi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-afceb7b688eb8b0f482537ca21ee758ae803ec2689dddecc21c52e3b091a3b463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Angina</topic><topic>Angina pectoris</topic><topic>Artificial intelligence</topic><topic>Cardiology</topic><topic>Congestive heart failure</topic><topic>Coronary artery</topic><topic>Data mining</topic><topic>Diuretics</topic><topic>Electrocardiography</topic><topic>Glucose</topic><topic>Glucose tolerance</topic><topic>Glucosidase</topic><topic>Health risk assessment</topic><topic>Heart attacks</topic><topic>Heart surgery</topic><topic>Immunological tolerance</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Myocardial infarction</topic><topic>Original Article</topic><topic>Parameter identification</topic><topic>Plasma</topic><topic>Stenosis</topic><topic>α-Glucosidase</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shindo, Kazuhiro</creatorcontrib><creatorcontrib>Fukuda, Hiroki</creatorcontrib><creatorcontrib>Hitsumoto, Tatsuro</creatorcontrib><creatorcontrib>Ito, Shin</creatorcontrib><creatorcontrib>Kim, Jiyoong</creatorcontrib><creatorcontrib>Washio, Takashi</creatorcontrib><creatorcontrib>Kitakaze, Masafumi</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</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>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</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 Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Cardiovascular drugs and therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shindo, Kazuhiro</au><au>Fukuda, Hiroki</au><au>Hitsumoto, Tatsuro</au><au>Ito, Shin</au><au>Kim, Jiyoong</au><au>Washio, Takashi</au><au>Kitakaze, Masafumi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasma BNP Levels and Diuretics Use as Predictors of Cardiovascular Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance</atitle><jtitle>Cardiovascular drugs and therapy</jtitle><stitle>Cardiovasc Drugs Ther</stitle><addtitle>Cardiovasc Drugs Ther</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>34</volume><issue>1</issue><spage>79</spage><epage>88</epage><pages>79-88</pages><issn>0920-3206</issn><eissn>1573-7241</eissn><abstract>Purpose
Although impaired glucose tolerance (IGT) promotes cardiovascular events, our Alpha-glucosidase-inhibitor Blocks Cardiac Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance (ABC) study showed that alpha-glucosidase inhibitors do not prevent cardiovascular events in patients with myocardial infarction (MI) and IGT. The aim of the present study was to identify potential clinical factors for cardiovascular events in patients with MI and IGT.
Methods
Using the limitless-arity multiple testing procedure, an artificial intelligence (AI)–based data mining method, we analyzed 385,391 combinations of fewer than four clinical parameters.
Results
We identified 380 combinations predicting the occurrence of (1) all-cause hospitalization, (2) hospitalization due to worsening of heart failure (HF), (3) hospitalization due to non-fatal MI, and (4) hospitalization due to percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for stable angina among 385,391 combinations in 853 patients. Among these, either plasma BNP levels ≥ 200 pg/dl or diuretic use exclusively predicted (1) all-cause hospitalization, (2) hospitalization due to worsening of HF, and (3) hospitalization due to a non-fatal MI, with plasma BNP levels ≥ 200 pg/dl being the sole predictor of hospitalization due to PCI and CABG. Importantly, each finding was verified by independently drawn Kaplan–Meier curves, revealing the unexpected role of plasma BNP levels in the progression of coronary stenosis determined as the necessity of PCI and CABG for stable angina.
Conclusions
In patients with MI and IGT, high plasma BNP levels predicted the occurrence of coronary stenosis, recurrent MI, and worsening of HF, whereas diuretic use did not predict the progression of coronary stenosis but non-fatal MI and worsening of HF.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32076931</pmid><doi>10.1007/s10557-019-06922-9</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-5157-4213</orcidid></addata></record> |
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source | SpringerLink Journals - AutoHoldings |
subjects | Angina Angina pectoris Artificial intelligence Cardiology Congestive heart failure Coronary artery Data mining Diuretics Electrocardiography Glucose Glucose tolerance Glucosidase Health risk assessment Heart attacks Heart surgery Immunological tolerance Medicine Medicine & Public Health Myocardial infarction Original Article Parameter identification Plasma Stenosis α-Glucosidase |
title | Plasma BNP Levels and Diuretics Use as Predictors of Cardiovascular Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance |
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