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Predicting long-term cardiovascular outcomes in myocardial infarction survivors using multiple biomarkers
Although there are short- and long-term prognostic studies in patients with myocardial infarction (MI), the data that can be used to predict the clinical outcome following discharge is limited. We analyzed creatinine kinase-MB and troponin related to myonecrosis, suppression of tumorigenicity 2 and...
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| Published in: | Biomarkers in medicine 2021-08, Vol.15 (11), p.899-910 |
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| container_title | Biomarkers in medicine |
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| creator | Somuncu, Mustafa U Avci, Ahmet Kalayci, Belma Gudul, Naile E Tatar, Fatih P Demir, Ali R Can, Murat Akgul, Ferit |
| description | Although there are short- and long-term prognostic studies in patients with myocardial infarction (MI), the data that can be used to predict the clinical outcome following discharge is limited.
We analyzed creatinine kinase-MB and troponin related to myonecrosis, suppression of tumorigenicity 2 and NT-pro B-type natriuretic peptide related to myocardial stress, C-reactive protein and procalcitonin related to inflammation in 259 MI patients.
Being in the high group for myocardial stress (odds ratio [OR]: 3.45, 95% CI: 1.398–8.547, p = 0.004) and inflammation markers (OR: 4.30, 95% CI: 1.690–10.899, p = 0.001) predicted major cardiovascular adverse events while myonecrosis markers could not (OR: 1.70, 95% CI: 0.671–4.306, p = 0.263).
Using multimarker risk stratification composed of inflammation and myocardial stress biomarkers improves the prediction of major cardiovascular adverse events in MI survivors. |
| doi_str_mv | 10.2217/bmm-2020-0875 |
| format | article |
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We analyzed creatinine kinase-MB and troponin related to myonecrosis, suppression of tumorigenicity 2 and NT-pro B-type natriuretic peptide related to myocardial stress, C-reactive protein and procalcitonin related to inflammation in 259 MI patients.
Being in the high group for myocardial stress (odds ratio [OR]: 3.45, 95% CI: 1.398–8.547, p = 0.004) and inflammation markers (OR: 4.30, 95% CI: 1.690–10.899, p = 0.001) predicted major cardiovascular adverse events while myonecrosis markers could not (OR: 1.70, 95% CI: 0.671–4.306, p = 0.263).
Using multimarker risk stratification composed of inflammation and myocardial stress biomarkers improves the prediction of major cardiovascular adverse events in MI survivors.</description><identifier>ISSN: 1752-0363</identifier><identifier>ISSN: 1752-0371</identifier><identifier>EISSN: 1752-0371</identifier><identifier>DOI: 10.2217/bmm-2020-0875</identifier><identifier>PMID: 34241548</identifier><language>eng</language><publisher>England: Future Medicine Ltd</publisher><subject>Aged ; Biomarkers - blood ; C-Reactive Protein - analysis ; C-Reactive Protein - metabolism ; Creatine Kinase, MB Form - blood ; fatal outcome ; Female ; Humans ; Inflammation - blood ; Male ; Middle Aged ; myocardial infarction ; Myocardial Infarction - blood ; Myocardial Infarction - diagnosis ; Natriuretic Peptide, Brain - blood ; Peptide Fragments - blood ; Procalcitonin - blood ; Prognosis ; survivors ; Survivors - statistics & numerical data</subject><ispartof>Biomarkers in medicine, 2021-08, Vol.15 (11), p.899-910</ispartof><rights>2021 Future Medicine Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-e7e9f62d36ef63428937d270cfd6a05397aefcf1ad089d0af070ee3141d8ed9a3</citedby><cites>FETCH-LOGICAL-c343t-e7e9f62d36ef63428937d270cfd6a05397aefcf1ad089d0af070ee3141d8ed9a3</cites><orcidid>0000-0003-4102-081X ; 0000-0002-9823-2592 ; 0000-0002-8510-572X ; 0000-0001-8786-1388 ; 0000-0001-9338-6464 ; 0000-0001-7775-8889 ; 0000-0002-1539-3973 ; 0000-0002-3776-0228</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34241548$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Somuncu, Mustafa U</creatorcontrib><creatorcontrib>Avci, Ahmet</creatorcontrib><creatorcontrib>Kalayci, Belma</creatorcontrib><creatorcontrib>Gudul, Naile E</creatorcontrib><creatorcontrib>Tatar, Fatih P</creatorcontrib><creatorcontrib>Demir, Ali R</creatorcontrib><creatorcontrib>Can, Murat</creatorcontrib><creatorcontrib>Akgul, Ferit</creatorcontrib><title>Predicting long-term cardiovascular outcomes in myocardial infarction survivors using multiple biomarkers</title><title>Biomarkers in medicine</title><addtitle>Biomark Med</addtitle><description>Although there are short- and long-term prognostic studies in patients with myocardial infarction (MI), the data that can be used to predict the clinical outcome following discharge is limited.
We analyzed creatinine kinase-MB and troponin related to myonecrosis, suppression of tumorigenicity 2 and NT-pro B-type natriuretic peptide related to myocardial stress, C-reactive protein and procalcitonin related to inflammation in 259 MI patients.
Being in the high group for myocardial stress (odds ratio [OR]: 3.45, 95% CI: 1.398–8.547, p = 0.004) and inflammation markers (OR: 4.30, 95% CI: 1.690–10.899, p = 0.001) predicted major cardiovascular adverse events while myonecrosis markers could not (OR: 1.70, 95% CI: 0.671–4.306, p = 0.263).
Using multimarker risk stratification composed of inflammation and myocardial stress biomarkers improves the prediction of major cardiovascular adverse events in MI survivors.</description><subject>Aged</subject><subject>Biomarkers - blood</subject><subject>C-Reactive Protein - analysis</subject><subject>C-Reactive Protein - metabolism</subject><subject>Creatine Kinase, MB Form - blood</subject><subject>fatal outcome</subject><subject>Female</subject><subject>Humans</subject><subject>Inflammation - blood</subject><subject>Male</subject><subject>Middle Aged</subject><subject>myocardial infarction</subject><subject>Myocardial Infarction - blood</subject><subject>Myocardial Infarction - diagnosis</subject><subject>Natriuretic Peptide, Brain - blood</subject><subject>Peptide Fragments - blood</subject><subject>Procalcitonin - blood</subject><subject>Prognosis</subject><subject>survivors</subject><subject>Survivors - statistics & numerical data</subject><issn>1752-0363</issn><issn>1752-0371</issn><issn>1752-0371</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kD1PwzAQhi0EoqUwsqKMLAF_JHEyooovqRIMMFuufa4McVzsuFL_PQkpbEx3p3vu1elB6JLgG0oJv107l1NMcY5rXh6hOeElzTHj5Pivr9gMncX4gXHJeUVP0YwVtCBlUc-RfQ2greptt8la323yHoLLlAza-p2MKrUyZD71yjuIme0yt_c_W9kOk5FhOPVdFlPY2Z0PMUtxjHKp7e22hWxtvZPhE0I8RydGthEuDnWB3h_u35ZP-erl8Xl5t8oVK1ifA4fGVFSzCkw1_Fk3jGvKsTK6krhkDZdglCFS47rRWBrMMQAjBdE16EayBbqecrfBfyWIvXA2Kmhb2YFPUdCyxLTiRVUOaD6hKvgYAxixDXZ4dy8IFqNdMdgVo10x2h34q0N0WjvQf_SvzgFoJsCkPgWIykKnQEyTG0XbDv4J_wYBx4yH</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Somuncu, Mustafa U</creator><creator>Avci, Ahmet</creator><creator>Kalayci, Belma</creator><creator>Gudul, Naile E</creator><creator>Tatar, Fatih P</creator><creator>Demir, Ali R</creator><creator>Can, Murat</creator><creator>Akgul, Ferit</creator><general>Future Medicine Ltd</general><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>7X8</scope><orcidid>https://orcid.org/0000-0003-4102-081X</orcidid><orcidid>https://orcid.org/0000-0002-9823-2592</orcidid><orcidid>https://orcid.org/0000-0002-8510-572X</orcidid><orcidid>https://orcid.org/0000-0001-8786-1388</orcidid><orcidid>https://orcid.org/0000-0001-9338-6464</orcidid><orcidid>https://orcid.org/0000-0001-7775-8889</orcidid><orcidid>https://orcid.org/0000-0002-1539-3973</orcidid><orcidid>https://orcid.org/0000-0002-3776-0228</orcidid></search><sort><creationdate>20210801</creationdate><title>Predicting long-term cardiovascular outcomes in myocardial infarction survivors using multiple biomarkers</title><author>Somuncu, Mustafa U ; Avci, Ahmet ; Kalayci, Belma ; Gudul, Naile E ; Tatar, Fatih P ; Demir, Ali R ; Can, Murat ; Akgul, Ferit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-e7e9f62d36ef63428937d270cfd6a05397aefcf1ad089d0af070ee3141d8ed9a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aged</topic><topic>Biomarkers - blood</topic><topic>C-Reactive Protein - analysis</topic><topic>C-Reactive Protein - metabolism</topic><topic>Creatine Kinase, MB Form - blood</topic><topic>fatal outcome</topic><topic>Female</topic><topic>Humans</topic><topic>Inflammation - blood</topic><topic>Male</topic><topic>Middle Aged</topic><topic>myocardial infarction</topic><topic>Myocardial Infarction - blood</topic><topic>Myocardial Infarction - diagnosis</topic><topic>Natriuretic Peptide, Brain - blood</topic><topic>Peptide Fragments - blood</topic><topic>Procalcitonin - blood</topic><topic>Prognosis</topic><topic>survivors</topic><topic>Survivors - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Somuncu, Mustafa U</creatorcontrib><creatorcontrib>Avci, Ahmet</creatorcontrib><creatorcontrib>Kalayci, Belma</creatorcontrib><creatorcontrib>Gudul, Naile E</creatorcontrib><creatorcontrib>Tatar, Fatih P</creatorcontrib><creatorcontrib>Demir, Ali R</creatorcontrib><creatorcontrib>Can, Murat</creatorcontrib><creatorcontrib>Akgul, Ferit</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Biomarkers in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Somuncu, Mustafa U</au><au>Avci, Ahmet</au><au>Kalayci, Belma</au><au>Gudul, Naile E</au><au>Tatar, Fatih P</au><au>Demir, Ali R</au><au>Can, Murat</au><au>Akgul, Ferit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting long-term cardiovascular outcomes in myocardial infarction survivors using multiple biomarkers</atitle><jtitle>Biomarkers in medicine</jtitle><addtitle>Biomark Med</addtitle><date>2021-08-01</date><risdate>2021</risdate><volume>15</volume><issue>11</issue><spage>899</spage><epage>910</epage><pages>899-910</pages><issn>1752-0363</issn><issn>1752-0371</issn><eissn>1752-0371</eissn><abstract>Although there are short- and long-term prognostic studies in patients with myocardial infarction (MI), the data that can be used to predict the clinical outcome following discharge is limited.
We analyzed creatinine kinase-MB and troponin related to myonecrosis, suppression of tumorigenicity 2 and NT-pro B-type natriuretic peptide related to myocardial stress, C-reactive protein and procalcitonin related to inflammation in 259 MI patients.
Being in the high group for myocardial stress (odds ratio [OR]: 3.45, 95% CI: 1.398–8.547, p = 0.004) and inflammation markers (OR: 4.30, 95% CI: 1.690–10.899, p = 0.001) predicted major cardiovascular adverse events while myonecrosis markers could not (OR: 1.70, 95% CI: 0.671–4.306, p = 0.263).
Using multimarker risk stratification composed of inflammation and myocardial stress biomarkers improves the prediction of major cardiovascular adverse events in MI survivors.</abstract><cop>England</cop><pub>Future Medicine Ltd</pub><pmid>34241548</pmid><doi>10.2217/bmm-2020-0875</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4102-081X</orcidid><orcidid>https://orcid.org/0000-0002-9823-2592</orcidid><orcidid>https://orcid.org/0000-0002-8510-572X</orcidid><orcidid>https://orcid.org/0000-0001-8786-1388</orcidid><orcidid>https://orcid.org/0000-0001-9338-6464</orcidid><orcidid>https://orcid.org/0000-0001-7775-8889</orcidid><orcidid>https://orcid.org/0000-0002-1539-3973</orcidid><orcidid>https://orcid.org/0000-0002-3776-0228</orcidid></addata></record> |
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| subjects | Aged Biomarkers - blood C-Reactive Protein - analysis C-Reactive Protein - metabolism Creatine Kinase, MB Form - blood fatal outcome Female Humans Inflammation - blood Male Middle Aged myocardial infarction Myocardial Infarction - blood Myocardial Infarction - diagnosis Natriuretic Peptide, Brain - blood Peptide Fragments - blood Procalcitonin - blood Prognosis survivors Survivors - statistics & numerical data |
| title | Predicting long-term cardiovascular outcomes in myocardial infarction survivors using multiple biomarkers |
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