How to predict new-onset atrial fibrillation in STEMI patients treated by primary percutaneous coronary intervention: The ALBO score

Objective: Biomarkers are useful to identify individuals at risk of developing new-onset atrial fibrillation (NOAF) in patients with hypertensive cardiomyopathy and heart failure. However, few data on their prognostic value in the setting of ST-Elevation Myocardial Infarction (STEMI) are available....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Vascular pharmacology 2018-04, Vol.103-105, p.63-64
Hauptverfasser: Mazzone, A., Scalese, M., Paradossi, U., Del Turco, S., Botto, N., De Caterina, A., Trianni, G., Ravani, M., Rizza, A., Molinaro, S., Palmieri, C., Berti, S., Basta, G.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 64
container_issue
container_start_page 63
container_title Vascular pharmacology
container_volume 103-105
creator Mazzone, A.
Scalese, M.
Paradossi, U.
Del Turco, S.
Botto, N.
De Caterina, A.
Trianni, G.
Ravani, M.
Rizza, A.
Molinaro, S.
Palmieri, C.
Berti, S.
Basta, G.
description Objective: Biomarkers are useful to identify individuals at risk of developing new-onset atrial fibrillation (NOAF) in patients with hypertensive cardiomyopathy and heart failure. However, few data on their prognostic value in the setting of ST-Elevation Myocardial Infarction (STEMI) are available. We aimed to develop and validate a risk score, based on common clinical risk factors, to assess the incidence of NOAF during hospitalization after primary percutaneous coronary intervention (pPCl). Methods: The risk score for NOAF occurrence during hospitalization (mean 5±6days) was developed in a cohort of 1135 consecutive STEMI patients undergoing pPCl while was externally validated in a temporal cohort of 771 STEMI patients. Biomarkers and clinical variables significantly contributing to predicting NOAF were assessed by multivariate Cox regression analysis. Results: Independent predictors of NOAF were age > 80 years |6.97 (3.40-14.30). hazard ratio (95% confidential interval), p< 0.001], leukocyte count>9.68 x 103/μL [2.65 (1.57-4.48), p80ng/L |2.37 (1.13-4.95), p = 0.02] and obesity (2.07 (1.09-3.92), p = 0.03). By summing the hazard ratios of these predictors we derived the ALBO risk score (Age, Leucocyte, BNP, Obesity) which yielded high C-statistics in both the derivation cohort (0.734 [0.675-0.793], p< 0.001) and the external validation cohort (0.76 (0.688-0.831), p < 0.001). Conclusions: The ALBO risk score, comprising biomarkers and clinical variables that can be assessed in hospital setting, could help to identify high-risk patients for NOAF after pPCl so that a prompter action can be taken.
doi_str_mv 10.1016/j.vph.2017.12.044
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2061519186</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1537189117304123</els_id><sourcerecordid>2061519186</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1226-26ae154eee91707a18aae8c783c4090bd27317572cb5c6991395ed81beed609a3</originalsourceid><addsrcrecordid>eNp9kEtPAyEUhSdGE58_wB2J6xm5zAwPXalRa1LjwromDHMbaSpUoDXu_eHS1LWrA-Sccy9fVZ0DbYACv1w0m9V7wyiIBlhDu26vOgIpVN3yTu2Xc9-KGqSCw-o4pQWlICVXR9XPJHyRHMgq4uhsJh6_6uATZmJydGZJ5m6Ibrk02QVPnCevs_vnJ7Iqd_Q5kRzRZBzJ8F0q3IeJRTHadTYewzoRG2Lw21fnM8ZNyZSeKzJ7R3IzvX0hqRjwtDqYm2XCsz89qd4e7md3k3r68vh0dzOtLTDGa8YNQt8hogJBhQFpDEorZGs7qugwMtGC6AWzQ2-5UtCqHkcJA-LIqTLtSXWx613F8LnGlPUirKMvIzWjHHpQIHlxwc5lY0gp4lz__UwD1VvYeqELbL2FrYHpArtkrncZLOtvHEadbAFkC9SINusxuH_Svw6eiPw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2061519186</pqid></control><display><type>article</type><title>How to predict new-onset atrial fibrillation in STEMI patients treated by primary percutaneous coronary intervention: The ALBO score</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Mazzone, A. ; Scalese, M. ; Paradossi, U. ; Del Turco, S. ; Botto, N. ; De Caterina, A. ; Trianni, G. ; Ravani, M. ; Rizza, A. ; Molinaro, S. ; Palmieri, C. ; Berti, S. ; Basta, G.</creator><creatorcontrib>Mazzone, A. ; Scalese, M. ; Paradossi, U. ; Del Turco, S. ; Botto, N. ; De Caterina, A. ; Trianni, G. ; Ravani, M. ; Rizza, A. ; Molinaro, S. ; Palmieri, C. ; Berti, S. ; Basta, G.</creatorcontrib><description>Objective: Biomarkers are useful to identify individuals at risk of developing new-onset atrial fibrillation (NOAF) in patients with hypertensive cardiomyopathy and heart failure. However, few data on their prognostic value in the setting of ST-Elevation Myocardial Infarction (STEMI) are available. We aimed to develop and validate a risk score, based on common clinical risk factors, to assess the incidence of NOAF during hospitalization after primary percutaneous coronary intervention (pPCl). Methods: The risk score for NOAF occurrence during hospitalization (mean 5±6days) was developed in a cohort of 1135 consecutive STEMI patients undergoing pPCl while was externally validated in a temporal cohort of 771 STEMI patients. Biomarkers and clinical variables significantly contributing to predicting NOAF were assessed by multivariate Cox regression analysis. Results: Independent predictors of NOAF were age &gt; 80 years |6.97 (3.40-14.30). hazard ratio (95% confidential interval), p&lt; 0.001], leukocyte count&gt;9.68 x 103/μL [2.65 (1.57-4.48), p&lt;0.0011, brain natriuretic peptide (BNP)&gt;80ng/L |2.37 (1.13-4.95), p = 0.02] and obesity (2.07 (1.09-3.92), p = 0.03). By summing the hazard ratios of these predictors we derived the ALBO risk score (Age, Leucocyte, BNP, Obesity) which yielded high C-statistics in both the derivation cohort (0.734 [0.675-0.793], p&lt; 0.001) and the external validation cohort (0.76 (0.688-0.831), p &lt; 0.001). Conclusions: The ALBO risk score, comprising biomarkers and clinical variables that can be assessed in hospital setting, could help to identify high-risk patients for NOAF after pPCl so that a prompter action can be taken.</description><identifier>ISSN: 1537-1891</identifier><identifier>EISSN: 1879-3649</identifier><identifier>DOI: 10.1016/j.vph.2017.12.044</identifier><language>eng</language><publisher>Philadelphia: Elsevier Inc</publisher><subject>Angioplasty ; Biomarkers ; Brain ; Brain natriuretic peptide ; Cardiac arrhythmia ; Cardiomyopathy ; Fibrillation ; Heart ; Heart diseases ; Heart failure ; Intervention ; Leukocytes ; Myocardial infarction ; Obesity ; Patients ; Regression analysis ; Risk analysis ; Risk assessment ; Risk factors ; Risk groups ; Statistical analysis</subject><ispartof>Vascular pharmacology, 2018-04, Vol.103-105, p.63-64</ispartof><rights>2017</rights><rights>Copyright Elsevier Science Ltd. Apr 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1537189117304123$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids></links><search><creatorcontrib>Mazzone, A.</creatorcontrib><creatorcontrib>Scalese, M.</creatorcontrib><creatorcontrib>Paradossi, U.</creatorcontrib><creatorcontrib>Del Turco, S.</creatorcontrib><creatorcontrib>Botto, N.</creatorcontrib><creatorcontrib>De Caterina, A.</creatorcontrib><creatorcontrib>Trianni, G.</creatorcontrib><creatorcontrib>Ravani, M.</creatorcontrib><creatorcontrib>Rizza, A.</creatorcontrib><creatorcontrib>Molinaro, S.</creatorcontrib><creatorcontrib>Palmieri, C.</creatorcontrib><creatorcontrib>Berti, S.</creatorcontrib><creatorcontrib>Basta, G.</creatorcontrib><title>How to predict new-onset atrial fibrillation in STEMI patients treated by primary percutaneous coronary intervention: The ALBO score</title><title>Vascular pharmacology</title><description>Objective: Biomarkers are useful to identify individuals at risk of developing new-onset atrial fibrillation (NOAF) in patients with hypertensive cardiomyopathy and heart failure. However, few data on their prognostic value in the setting of ST-Elevation Myocardial Infarction (STEMI) are available. We aimed to develop and validate a risk score, based on common clinical risk factors, to assess the incidence of NOAF during hospitalization after primary percutaneous coronary intervention (pPCl). Methods: The risk score for NOAF occurrence during hospitalization (mean 5±6days) was developed in a cohort of 1135 consecutive STEMI patients undergoing pPCl while was externally validated in a temporal cohort of 771 STEMI patients. Biomarkers and clinical variables significantly contributing to predicting NOAF were assessed by multivariate Cox regression analysis. Results: Independent predictors of NOAF were age &gt; 80 years |6.97 (3.40-14.30). hazard ratio (95% confidential interval), p&lt; 0.001], leukocyte count&gt;9.68 x 103/μL [2.65 (1.57-4.48), p&lt;0.0011, brain natriuretic peptide (BNP)&gt;80ng/L |2.37 (1.13-4.95), p = 0.02] and obesity (2.07 (1.09-3.92), p = 0.03). By summing the hazard ratios of these predictors we derived the ALBO risk score (Age, Leucocyte, BNP, Obesity) which yielded high C-statistics in both the derivation cohort (0.734 [0.675-0.793], p&lt; 0.001) and the external validation cohort (0.76 (0.688-0.831), p &lt; 0.001). Conclusions: The ALBO risk score, comprising biomarkers and clinical variables that can be assessed in hospital setting, could help to identify high-risk patients for NOAF after pPCl so that a prompter action can be taken.</description><subject>Angioplasty</subject><subject>Biomarkers</subject><subject>Brain</subject><subject>Brain natriuretic peptide</subject><subject>Cardiac arrhythmia</subject><subject>Cardiomyopathy</subject><subject>Fibrillation</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Heart failure</subject><subject>Intervention</subject><subject>Leukocytes</subject><subject>Myocardial infarction</subject><subject>Obesity</subject><subject>Patients</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk factors</subject><subject>Risk groups</subject><subject>Statistical analysis</subject><issn>1537-1891</issn><issn>1879-3649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPAyEUhSdGE58_wB2J6xm5zAwPXalRa1LjwromDHMbaSpUoDXu_eHS1LWrA-Sccy9fVZ0DbYACv1w0m9V7wyiIBlhDu26vOgIpVN3yTu2Xc9-KGqSCw-o4pQWlICVXR9XPJHyRHMgq4uhsJh6_6uATZmJydGZJ5m6Ibrk02QVPnCevs_vnJ7Iqd_Q5kRzRZBzJ8F0q3IeJRTHadTYewzoRG2Lw21fnM8ZNyZSeKzJ7R3IzvX0hqRjwtDqYm2XCsz89qd4e7md3k3r68vh0dzOtLTDGa8YNQt8hogJBhQFpDEorZGs7qugwMtGC6AWzQ2-5UtCqHkcJA-LIqTLtSXWx613F8LnGlPUirKMvIzWjHHpQIHlxwc5lY0gp4lz__UwD1VvYeqELbL2FrYHpArtkrncZLOtvHEadbAFkC9SINusxuH_Svw6eiPw</recordid><startdate>201804</startdate><enddate>201804</enddate><creator>Mazzone, A.</creator><creator>Scalese, M.</creator><creator>Paradossi, U.</creator><creator>Del Turco, S.</creator><creator>Botto, N.</creator><creator>De Caterina, A.</creator><creator>Trianni, G.</creator><creator>Ravani, M.</creator><creator>Rizza, A.</creator><creator>Molinaro, S.</creator><creator>Palmieri, C.</creator><creator>Berti, S.</creator><creator>Basta, G.</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7U7</scope><scope>C1K</scope><scope>H94</scope></search><sort><creationdate>201804</creationdate><title>How to predict new-onset atrial fibrillation in STEMI patients treated by primary percutaneous coronary intervention: The ALBO score</title><author>Mazzone, A. ; Scalese, M. ; Paradossi, U. ; Del Turco, S. ; Botto, N. ; De Caterina, A. ; Trianni, G. ; Ravani, M. ; Rizza, A. ; Molinaro, S. ; Palmieri, C. ; Berti, S. ; Basta, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1226-26ae154eee91707a18aae8c783c4090bd27317572cb5c6991395ed81beed609a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Angioplasty</topic><topic>Biomarkers</topic><topic>Brain</topic><topic>Brain natriuretic peptide</topic><topic>Cardiac arrhythmia</topic><topic>Cardiomyopathy</topic><topic>Fibrillation</topic><topic>Heart</topic><topic>Heart diseases</topic><topic>Heart failure</topic><topic>Intervention</topic><topic>Leukocytes</topic><topic>Myocardial infarction</topic><topic>Obesity</topic><topic>Patients</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk factors</topic><topic>Risk groups</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mazzone, A.</creatorcontrib><creatorcontrib>Scalese, M.</creatorcontrib><creatorcontrib>Paradossi, U.</creatorcontrib><creatorcontrib>Del Turco, S.</creatorcontrib><creatorcontrib>Botto, N.</creatorcontrib><creatorcontrib>De Caterina, A.</creatorcontrib><creatorcontrib>Trianni, G.</creatorcontrib><creatorcontrib>Ravani, M.</creatorcontrib><creatorcontrib>Rizza, A.</creatorcontrib><creatorcontrib>Molinaro, S.</creatorcontrib><creatorcontrib>Palmieri, C.</creatorcontrib><creatorcontrib>Berti, S.</creatorcontrib><creatorcontrib>Basta, G.</creatorcontrib><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>Vascular pharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mazzone, A.</au><au>Scalese, M.</au><au>Paradossi, U.</au><au>Del Turco, S.</au><au>Botto, N.</au><au>De Caterina, A.</au><au>Trianni, G.</au><au>Ravani, M.</au><au>Rizza, A.</au><au>Molinaro, S.</au><au>Palmieri, C.</au><au>Berti, S.</au><au>Basta, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How to predict new-onset atrial fibrillation in STEMI patients treated by primary percutaneous coronary intervention: The ALBO score</atitle><jtitle>Vascular pharmacology</jtitle><date>2018-04</date><risdate>2018</risdate><volume>103-105</volume><spage>63</spage><epage>64</epage><pages>63-64</pages><issn>1537-1891</issn><eissn>1879-3649</eissn><abstract>Objective: Biomarkers are useful to identify individuals at risk of developing new-onset atrial fibrillation (NOAF) in patients with hypertensive cardiomyopathy and heart failure. However, few data on their prognostic value in the setting of ST-Elevation Myocardial Infarction (STEMI) are available. We aimed to develop and validate a risk score, based on common clinical risk factors, to assess the incidence of NOAF during hospitalization after primary percutaneous coronary intervention (pPCl). Methods: The risk score for NOAF occurrence during hospitalization (mean 5±6days) was developed in a cohort of 1135 consecutive STEMI patients undergoing pPCl while was externally validated in a temporal cohort of 771 STEMI patients. Biomarkers and clinical variables significantly contributing to predicting NOAF were assessed by multivariate Cox regression analysis. Results: Independent predictors of NOAF were age &gt; 80 years |6.97 (3.40-14.30). hazard ratio (95% confidential interval), p&lt; 0.001], leukocyte count&gt;9.68 x 103/μL [2.65 (1.57-4.48), p&lt;0.0011, brain natriuretic peptide (BNP)&gt;80ng/L |2.37 (1.13-4.95), p = 0.02] and obesity (2.07 (1.09-3.92), p = 0.03). By summing the hazard ratios of these predictors we derived the ALBO risk score (Age, Leucocyte, BNP, Obesity) which yielded high C-statistics in both the derivation cohort (0.734 [0.675-0.793], p&lt; 0.001) and the external validation cohort (0.76 (0.688-0.831), p &lt; 0.001). Conclusions: The ALBO risk score, comprising biomarkers and clinical variables that can be assessed in hospital setting, could help to identify high-risk patients for NOAF after pPCl so that a prompter action can be taken.</abstract><cop>Philadelphia</cop><pub>Elsevier Inc</pub><doi>10.1016/j.vph.2017.12.044</doi><tpages>2</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1537-1891
ispartof Vascular pharmacology, 2018-04, Vol.103-105, p.63-64
issn 1537-1891
1879-3649
language eng
recordid cdi_proquest_journals_2061519186
source Elsevier ScienceDirect Journals Complete
subjects Angioplasty
Biomarkers
Brain
Brain natriuretic peptide
Cardiac arrhythmia
Cardiomyopathy
Fibrillation
Heart
Heart diseases
Heart failure
Intervention
Leukocytes
Myocardial infarction
Obesity
Patients
Regression analysis
Risk analysis
Risk assessment
Risk factors
Risk groups
Statistical analysis
title How to predict new-onset atrial fibrillation in STEMI patients treated by primary percutaneous coronary intervention: The ALBO score
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T20%3A04%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=How%20to%20predict%20new-onset%20atrial%20fibrillation%20in%20STEMI%20patients%20treated%20by%20primary%20percutaneous%20coronary%20intervention:%20The%20ALBO%20score&rft.jtitle=Vascular%20pharmacology&rft.au=Mazzone,%20A.&rft.date=2018-04&rft.volume=103-105&rft.spage=63&rft.epage=64&rft.pages=63-64&rft.issn=1537-1891&rft.eissn=1879-3649&rft_id=info:doi/10.1016/j.vph.2017.12.044&rft_dat=%3Cproquest_cross%3E2061519186%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2061519186&rft_id=info:pmid/&rft_els_id=S1537189117304123&rfr_iscdi=true