B‐type natriuretic peptide over N‐terminal pro‐brain natriuretic peptide to predict incident atrial fibrillation after cryptogenic stroke
Background and purpose B‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT‐proBNP. The aim was to determine and directly compare the validity of...
Saved in:
Published in | European journal of neurology Vol. 28; no. 2; pp. 540 - 547 |
---|---|
Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley & Sons, Inc
01.02.2021
|
Subjects | |
Online Access | Get full text |
ISSN | 1351-5101 1468-1331 1468-1331 |
DOI | 10.1111/ene.14579 |
Cover
Abstract | Background and purpose
B‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT‐proBNP. The aim was to determine and directly compare the validity of the two biomarkers as a tool to predict AF and guide prolonged cardiac monitoring in cryptogenic stroke patients.
Methods
Non‐lacunar acute ischaemic stroke (<72 h) patients over 55 years of age with cryptogenic stroke after standard evaluation were included in the Crypto‐AF study and blood was collected. BNP and NT‐proBNP levels were determined by automated immunoassays. AF was assessed by 28 days’ monitoring. Highest (optimizing specificity) and lowest (optimizing sensitivity) quartiles were used as biomarker cut‐offs to build predictive models adjusted by sex and age. The integrated discrimination improvement index (IDI) and DeLong test were used to compare the performance of the two biomarkers.
Results
From 320 patients evaluated, 218 were included in the analysis. AF was detected in 50 patients (22.9%). NT‐proBNP (P < 0.001) and BNP (P < 0.001) levels were higher in subjects with AF and their levels correlated (r = 0.495, P < 0.001). BNP showed an increased area under the curve (0.720 vs. 0.669; P = 0.0218) and a better predictive capacity (IDI = 3.63%, 95% confidence interval 1.36%–5.91%) compared to NT‐proBNP. BNP performed better than NT‐proBNP in a specific model (IDI = 3.7%, 95% confidence interval 0.87%–6.5%), whilst both biomarkers performed similarly in the case of a sensitive model.
Conclusions
Both BNP and NT‐proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT‐proBNP, especially in terms of specificity.
B‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT‐proBNP. In our study, both BNP and NT‐proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT‐proBNP, especially in terms of specificity. |
---|---|
AbstractList | B-type natriuretic peptide (BNP) and N-terminal pro-brain natriuretic peptide (NT-proBNP) are well-known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT-proBNP. The aim was to determine and directly compare the validity of the two biomarkers as a tool to predict AF and guide prolonged cardiac monitoring in cryptogenic stroke patients.
Non-lacunar acute ischaemic stroke (<72 h) patients over 55 years of age with cryptogenic stroke after standard evaluation were included in the Crypto-AF study and blood was collected. BNP and NT-proBNP levels were determined by automated immunoassays. AF was assessed by 28 days' monitoring. Highest (optimizing specificity) and lowest (optimizing sensitivity) quartiles were used as biomarker cut-offs to build predictive models adjusted by sex and age. The integrated discrimination improvement index (IDI) and DeLong test were used to compare the performance of the two biomarkers.
From 320 patients evaluated, 218 were included in the analysis. AF was detected in 50 patients (22.9%). NT-proBNP (P < 0.001) and BNP (P < 0.001) levels were higher in subjects with AF and their levels correlated (r = 0.495, P < 0.001). BNP showed an increased area under the curve (0.720 vs. 0.669; P = 0.0218) and a better predictive capacity (IDI = 3.63%, 95% confidence interval 1.36%-5.91%) compared to NT-proBNP. BNP performed better than NT-proBNP in a specific model (IDI = 3.7%, 95% confidence interval 0.87%-6.5%), whilst both biomarkers performed similarly in the case of a sensitive model.
Both BNP and NT-proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT-proBNP, especially in terms of specificity. Background and purpose B‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT‐proBNP. The aim was to determine and directly compare the validity of the two biomarkers as a tool to predict AF and guide prolonged cardiac monitoring in cryptogenic stroke patients. Methods Non‐lacunar acute ischaemic stroke (<72 h) patients over 55 years of age with cryptogenic stroke after standard evaluation were included in the Crypto‐AF study and blood was collected. BNP and NT‐proBNP levels were determined by automated immunoassays. AF was assessed by 28 days’ monitoring. Highest (optimizing specificity) and lowest (optimizing sensitivity) quartiles were used as biomarker cut‐offs to build predictive models adjusted by sex and age. The integrated discrimination improvement index (IDI) and DeLong test were used to compare the performance of the two biomarkers. Results From 320 patients evaluated, 218 were included in the analysis. AF was detected in 50 patients (22.9%). NT‐proBNP (P < 0.001) and BNP (P < 0.001) levels were higher in subjects with AF and their levels correlated (r = 0.495, P < 0.001). BNP showed an increased area under the curve (0.720 vs. 0.669; P = 0.0218) and a better predictive capacity (IDI = 3.63%, 95% confidence interval 1.36%–5.91%) compared to NT‐proBNP. BNP performed better than NT‐proBNP in a specific model (IDI = 3.7%, 95% confidence interval 0.87%–6.5%), whilst both biomarkers performed similarly in the case of a sensitive model. Conclusions Both BNP and NT‐proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT‐proBNP, especially in terms of specificity. B‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT‐proBNP. In our study, both BNP and NT‐proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT‐proBNP, especially in terms of specificity. B-type natriuretic peptide (BNP) and N-terminal pro-brain natriuretic peptide (NT-proBNP) are well-known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT-proBNP. The aim was to determine and directly compare the validity of the two biomarkers as a tool to predict AF and guide prolonged cardiac monitoring in cryptogenic stroke patients.BACKGROUND AND PURPOSEB-type natriuretic peptide (BNP) and N-terminal pro-brain natriuretic peptide (NT-proBNP) are well-known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT-proBNP. The aim was to determine and directly compare the validity of the two biomarkers as a tool to predict AF and guide prolonged cardiac monitoring in cryptogenic stroke patients.Non-lacunar acute ischaemic stroke (<72 h) patients over 55 years of age with cryptogenic stroke after standard evaluation were included in the Crypto-AF study and blood was collected. BNP and NT-proBNP levels were determined by automated immunoassays. AF was assessed by 28 days' monitoring. Highest (optimizing specificity) and lowest (optimizing sensitivity) quartiles were used as biomarker cut-offs to build predictive models adjusted by sex and age. The integrated discrimination improvement index (IDI) and DeLong test were used to compare the performance of the two biomarkers.METHODSNon-lacunar acute ischaemic stroke (<72 h) patients over 55 years of age with cryptogenic stroke after standard evaluation were included in the Crypto-AF study and blood was collected. BNP and NT-proBNP levels were determined by automated immunoassays. AF was assessed by 28 days' monitoring. Highest (optimizing specificity) and lowest (optimizing sensitivity) quartiles were used as biomarker cut-offs to build predictive models adjusted by sex and age. The integrated discrimination improvement index (IDI) and DeLong test were used to compare the performance of the two biomarkers.From 320 patients evaluated, 218 were included in the analysis. AF was detected in 50 patients (22.9%). NT-proBNP (P < 0.001) and BNP (P < 0.001) levels were higher in subjects with AF and their levels correlated (r = 0.495, P < 0.001). BNP showed an increased area under the curve (0.720 vs. 0.669; P = 0.0218) and a better predictive capacity (IDI = 3.63%, 95% confidence interval 1.36%-5.91%) compared to NT-proBNP. BNP performed better than NT-proBNP in a specific model (IDI = 3.7%, 95% confidence interval 0.87%-6.5%), whilst both biomarkers performed similarly in the case of a sensitive model.RESULTSFrom 320 patients evaluated, 218 were included in the analysis. AF was detected in 50 patients (22.9%). NT-proBNP (P < 0.001) and BNP (P < 0.001) levels were higher in subjects with AF and their levels correlated (r = 0.495, P < 0.001). BNP showed an increased area under the curve (0.720 vs. 0.669; P = 0.0218) and a better predictive capacity (IDI = 3.63%, 95% confidence interval 1.36%-5.91%) compared to NT-proBNP. BNP performed better than NT-proBNP in a specific model (IDI = 3.7%, 95% confidence interval 0.87%-6.5%), whilst both biomarkers performed similarly in the case of a sensitive model.Both BNP and NT-proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT-proBNP, especially in terms of specificity.CONCLUSIONSBoth BNP and NT-proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT-proBNP, especially in terms of specificity. Background and purposeB‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT‐proBNP. The aim was to determine and directly compare the validity of the two biomarkers as a tool to predict AF and guide prolonged cardiac monitoring in cryptogenic stroke patients.MethodsNon‐lacunar acute ischaemic stroke (<72 h) patients over 55 years of age with cryptogenic stroke after standard evaluation were included in the Crypto‐AF study and blood was collected. BNP and NT‐proBNP levels were determined by automated immunoassays. AF was assessed by 28 days’ monitoring. Highest (optimizing specificity) and lowest (optimizing sensitivity) quartiles were used as biomarker cut‐offs to build predictive models adjusted by sex and age. The integrated discrimination improvement index (IDI) and DeLong test were used to compare the performance of the two biomarkers.ResultsFrom 320 patients evaluated, 218 were included in the analysis. AF was detected in 50 patients (22.9%). NT‐proBNP (P < 0.001) and BNP (P < 0.001) levels were higher in subjects with AF and their levels correlated (r = 0.495, P < 0.001). BNP showed an increased area under the curve (0.720 vs. 0.669; P = 0.0218) and a better predictive capacity (IDI = 3.63%, 95% confidence interval 1.36%–5.91%) compared to NT‐proBNP. BNP performed better than NT‐proBNP in a specific model (IDI = 3.7%, 95% confidence interval 0.87%–6.5%), whilst both biomarkers performed similarly in the case of a sensitive model.ConclusionsBoth BNP and NT‐proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT‐proBNP, especially in terms of specificity. |
Author | González‐Alujas, T. Pagola, J. De Lera Alfonso, M. Arenillas, J. F. Pérez‐Sánchez, S. Rodriguez, M. Montaner, J. Molina, C. A. Palà, E. Comas, I. Torres, R. Francisco‐Pascual, J. Bustamante, A. Penalba, A. Moniche, F. Juega, J. Cabezas, J. A. |
Author_xml | – sequence: 1 givenname: E. orcidid: 0000-0002-1074-990X surname: Palà fullname: Palà, E. organization: Universitat Autònoma de Barcelona – sequence: 2 givenname: J. orcidid: 0000-0002-0725-1369 surname: Pagola fullname: Pagola, J. organization: Vall d'Hebrón Hospital and Autonomous University of Barcelona – sequence: 3 givenname: J. surname: Juega fullname: Juega, J. organization: Vall d'Hebrón Hospital and Autonomous University of Barcelona – sequence: 4 givenname: J. surname: Francisco‐Pascual fullname: Francisco‐Pascual, J. organization: Vall d'Hebrón Hospital – sequence: 5 givenname: A. surname: Bustamante fullname: Bustamante, A. organization: Universitat Autònoma de Barcelona – sequence: 6 givenname: A. surname: Penalba fullname: Penalba, A. organization: Universitat Autònoma de Barcelona – sequence: 7 givenname: I. surname: Comas fullname: Comas, I. organization: Vall d'Hebrón Hospital – sequence: 8 givenname: M. surname: Rodriguez fullname: Rodriguez, M. organization: Vall d'Hebrón Hospital and Autonomous University of Barcelona – sequence: 9 givenname: M. surname: De Lera Alfonso fullname: De Lera Alfonso, M. organization: University Hospital of Valladolid – sequence: 10 givenname: J. F. surname: Arenillas fullname: Arenillas, J. F. organization: University Hospital of Valladolid – sequence: 11 givenname: R. surname: Torres fullname: Torres, R. organization: University Hospital Virgen del Rocio – sequence: 12 givenname: S. surname: Pérez‐Sánchez fullname: Pérez‐Sánchez, S. organization: University Hospital Virgen del Rocio – sequence: 13 givenname: J. A. surname: Cabezas fullname: Cabezas, J. A. organization: University Hospital Virgen del Rocio – sequence: 14 givenname: F. surname: Moniche fullname: Moniche, F. organization: University Hospital Virgen del Rocio – sequence: 15 givenname: T. surname: González‐Alujas fullname: González‐Alujas, T. organization: Vall d'Hebrón Hospital – sequence: 16 givenname: C. A. surname: Molina fullname: Molina, C. A. organization: Vall d'Hebrón Hospital and Autonomous University of Barcelona – sequence: 17 givenname: J. surname: Montaner fullname: Montaner, J. email: joan.montaner@vhir.org organization: Universitat Autònoma de Barcelona |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33043545$$D View this record in MEDLINE/PubMed |
BookMark | eNp1kc1O3DAUha2Kqvy0C14AWWLTLgJ27CTjJaDpj4Topl1bjnNdGTJ2sB2q2fUN2mfsk_QOM2wQ9cY_-s7R9TmHZC_EAIQcc3bGcZ1DgDMum069IgdctouKC8H38CwaXjWc8X1ymPMtY6zuavaG7AvBpGhkc0B-X_799aesJ6DBlOTnBMVbOsFU_AA0PkCiNxsC0soHM9IpRbz2yfjwoqJERGDwtlAfLL6EQjcYSp3vkx9HU3wM1Di0pDatpxJ_QECHXFK8g7fktTNjhne7_Yh8_7j8dvW5uv766cvVxXVlJVeqWqi6tZypoXWD4APrnOmdkdZBrUBK0zjmWgV12zDp3GAXvWi5a3thBo7hdOKIvN_64ofuZ8hFr3y2gOMFiHPWtZRKKVRLRE-fobdxThjGhuo6zrpFw5A62VFzv4JBT8mvTFrrp6gRON8CNsWcEzhtfXkMo2Cao-ZMb8rUWKZ-LBMVH54pnkxfYnfuP_0I6_-Denmz3Cr-AULqs7w |
CitedBy_id | crossref_primary_10_1016_j_ijcha_2022_100977 crossref_primary_10_3390_pathophysiology31030024 crossref_primary_10_1007_s00392_023_02218_z crossref_primary_10_1177_17474930221124412 crossref_primary_10_4330_wjc_v13_i11_608 crossref_primary_10_1080_00325481_2021_1886770 crossref_primary_10_3389_fcvm_2022_908053 crossref_primary_10_4330_wjc_v15_i4_119 crossref_primary_10_1016_j_amjcard_2022_12_028 crossref_primary_10_1093_eurheartj_ehac245 crossref_primary_10_1002_ehf2_13703 crossref_primary_10_1161_STROKEAHA_123_044143 crossref_primary_10_3389_fneur_2021_624930 crossref_primary_10_36290_vnl_2025_007 crossref_primary_10_1016_j_rec_2021_12_001 crossref_primary_10_1111_ene_15746 crossref_primary_10_3389_fneur_2024_1436062 crossref_primary_10_3988_jcn_2023_0068 crossref_primary_10_1038_s41582_022_00663_4 crossref_primary_10_1016_j_ijcha_2022_101132 crossref_primary_10_1016_j_jstrokecerebrovasdis_2025_108239 crossref_primary_10_1016_j_hsr_2024_100161 crossref_primary_10_1016_j_recesp_2021_11_032 crossref_primary_10_2478_joepi_2022_0002 crossref_primary_10_1016_j_jjcc_2021_05_005 |
Cites_doi | 10.2217/bmm.09.47 10.1016/j.jacc.2007.09.021 10.7326/0003-4819-146-12-200706190-00007 10.1016/j.ijcard.2017.10.063 10.1159/000083249 10.1002/sim.2929 10.1161/01.HYP.33.1.290 10.1212/WNL.0000000000004922 10.1007/s10840-019-00515-0 10.1080/00207454.2017.1408612 10.1016/j.amjcard.2019.10.050 10.1111/ijs.12126 10.1161/STROKEAHA.114.008311 10.1007/s00392-018-1256-9 10.2307/2531595 10.1016/bs.acc.2018.02.001 10.1111/ene.14281 10.1056/NEJMoa1313600 10.1161/STROKEAHA.119.026496 10.1007/s00380-019-01345-w 10.1056/NEJMoa1311376 10.1016/j.jstrokecerebrovasdis.2014.02.014 10.1371/journal.pone.0034351 10.1177/1747493018799981 10.1161/STROKEAHA.119.027123 10.1161/CIRCULATIONAHA.119.040267 10.1161/STROKEAHA.119.025169 10.1111/ane.12112 |
ContentType | Journal Article |
Copyright | 2020 European Academy of Neurology 2020 European Academy of Neurology. Copyright © 2021 European Academy of Neurology |
Copyright_xml | – notice: 2020 European Academy of Neurology – notice: 2020 European Academy of Neurology. – notice: Copyright © 2021 European Academy of Neurology |
DBID | AAYXX CITATION NPM 7TK 7U7 C1K K9. 7X8 |
DOI | 10.1111/ene.14579 |
DatabaseName | CrossRef PubMed Neurosciences Abstracts Toxicology Abstracts Environmental Sciences and Pollution Management ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic |
DatabaseTitle | CrossRef PubMed ProQuest Health & Medical Complete (Alumni) Toxicology Abstracts Neurosciences Abstracts Environmental Sciences and Pollution Management MEDLINE - Academic |
DatabaseTitleList | PubMed MEDLINE - Academic ProQuest Health & Medical Complete (Alumni) |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1468-1331 |
EndPage | 547 |
ExternalDocumentID | 33043545 10_1111_ene_14579 ENE14579 |
Genre | article Journal Article |
GrantInformation_xml | – fundername: Instituto de Salud Carlos III funderid: PI15/02265; PI18/00804 – fundername: Instituto de Salud Carlos III grantid: PI18/00804 – fundername: Instituto de Salud Carlos III grantid: PI15/02265 |
GroupedDBID | --- .3N .GA .Y3 05W 0R~ 10A 169 1OB 1OC 24P 29G 31~ 33P 36B 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52R 52S 52T 52U 52V 52W 52X 53G 5GY 5HH 5LA 5VS 66C 702 7PT 7X7 8-0 8-1 8-3 8-4 8-5 8FI 8FJ 8UM 930 A01 A03 AAESR AAEVG AAHHS AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABEML ABIVO ABJNI ABPVW ABUWG ABXGK ACAHQ ACBWZ ACCFJ ACCMX ACCZN ACGFS ACGOF ACMXC ACPOU ACPRK ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADBTR ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADPDF ADXAS ADZMN ADZOD AEEZP AEIGN AEIMD AENEX AEQDE AEUQT AEUYR AFBPY AFEBI AFGKR AFKRA AFPWT AFRAH AFWVQ AFZJQ AHMBA AIACR AIURR AIWBW AJBDE ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN AMBMR AMYDB ASPBG ATUGU AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BENPR BFHJK BHBCM BMXJE BROTX BRXPI BY8 C45 CAG CCPQU COF CS3 D-6 D-7 D-E D-F DCZOG DPXWK DR2 DRFUL DRMAN DRSTM DU5 EBS EJD EMOBN ESX EX3 F00 F5P FEDTE FUBAC FYBCS FYUFA G-S G.N GODZA H.X HF~ HMCUK HVGLF HZI HZ~ IHE IX1 J0M K48 KBYEO LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRMAN MRSTM MSFUL MSMAN MSSTM MXFUL MXMAN MXSTM N04 N05 N9A NF~ O66 O9- OIG OVD OVEED P2P P2W P2X P2Z P4B P4D PALCI PQQKQ Q.N Q11 QB0 R.K RIG RIWAO RJQFR ROL RPM RX1 SAMSI SUPJJ TEORI UB1 UKHRP W8V W99 WBKPD WHWMO WIH WIJ WIK WOHZO WOW WQJ WVDHM WXI WXSBR XG1 YFH ZZTAW ~IA ~WT AAYXX AGQPQ CITATION NPM 7TK 7U7 AAMMB AEFGJ AGXDD AIDQK AIDYY C1K K9. 7X8 WIN |
ID | FETCH-LOGICAL-c4199-8926c109d6fd31d07fabfa4cfe29e44a5f0f69e26504ffdc8b361f6b3ad113373 |
IEDL.DBID | DR2 |
ISSN | 1351-5101 1468-1331 |
IngestDate | Fri Sep 05 11:06:29 EDT 2025 Tue Jul 15 04:07:08 EDT 2025 Thu Apr 03 07:03:12 EDT 2025 Tue Jul 01 03:15:52 EDT 2025 Thu Apr 24 23:06:38 EDT 2025 Wed Jan 22 16:30:26 EST 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Keywords | atrial fibrillation NT-proBNP cryptogenic stroke BNP biomarkers |
Language | English |
License | 2020 European Academy of Neurology. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c4199-8926c109d6fd31d07fabfa4cfe29e44a5f0f69e26504ffdc8b361f6b3ad113373 |
Notes | E Palà and J. Pagola contributed equally to this work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ORCID | 0000-0002-1074-990X 0000-0002-0725-1369 |
PMID | 33043545 |
PQID | 2477107850 |
PQPubID | 1066358 |
PageCount | 8 |
ParticipantIDs | proquest_miscellaneous_2449995044 proquest_journals_2477107850 pubmed_primary_33043545 crossref_citationtrail_10_1111_ene_14579 crossref_primary_10_1111_ene_14579 wiley_primary_10_1111_ene_14579_ENE14579 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | February 2021 |
PublicationDateYYYYMMDD | 2021-02-01 |
PublicationDate_xml | – month: 02 year: 2021 text: February 2021 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: Oxford |
PublicationTitle | European journal of neurology |
PublicationTitleAlternate | Eur J Neurol |
PublicationYear | 2021 |
Publisher | John Wiley & Sons, Inc |
Publisher_xml | – name: John Wiley & Sons, Inc |
References | 2007; 146 2019; 50 2018; 128 2018; 107 2019; 34 2019; 14 2013; 128 2014; 370 2020; 57 2020; 13 2018; 85 2007; 50 2020; 125 2019; 140 2014; 23 2015; 46 2018; 251 2005; 19 2020; 51 2008; 27 2020; 27 1988; 44 1999; 33 2018; 90 2014; 9 2009; 3 2012; 7 e_1_2_9_30_1 e_1_2_9_11_1 Rørth R (e_1_2_9_28_1) 2020; 13 e_1_2_9_10_1 e_1_2_9_13_1 e_1_2_9_12_1 e_1_2_9_15_1 e_1_2_9_14_1 e_1_2_9_17_1 e_1_2_9_16_1 e_1_2_9_19_1 e_1_2_9_18_1 e_1_2_9_20_1 e_1_2_9_22_1 e_1_2_9_21_1 e_1_2_9_24_1 e_1_2_9_23_1 e_1_2_9_8_1 e_1_2_9_7_1 e_1_2_9_6_1 e_1_2_9_5_1 e_1_2_9_4_1 e_1_2_9_3_1 e_1_2_9_2_1 e_1_2_9_9_1 e_1_2_9_26_1 e_1_2_9_25_1 e_1_2_9_27_1 e_1_2_9_29_1 |
References_xml | – volume: 90 start-page: e455 year: 2018 end-page: e465 article-title: Midregional proatrial natriuretic peptide improves risk stratification after ischemic stroke publication-title: Neurology – volume: 370 start-page: 2478 year: 2014 end-page: 2486 article-title: Cryptogenic stroke and underlying atrial fibrillation publication-title: N Engl J Med – volume: 3 start-page: 465 year: 2009 end-page: 481 article-title: Comparison of the cardiac markers B‐type natriuretic peptide and N‐terminal pro B‐type natriuretic peptide publication-title: Biomark Med – volume: 33 start-page: 290 year: 1999 end-page: 297 article-title: Genes encoding atrial and brain natriuretic peptides as candidates for sensitivity to brain ischemia in stroke‐prone hypertensive rats publication-title: Hypertension – volume: 7 start-page: 1 year: 2012 end-page: 7 article-title: Natriuretic peptides for the detection of paroxysmal atrial fibrillation in patients with cerebral ischemia—the Find‐AF study publication-title: PLoS One – volume: 34 start-page: 1178 year: 2019 end-page: 1186 article-title: Direct comparison of prognostic ability of cardiac biomarkers for cardiogenic stroke and clinical outcome in patients with stroke publication-title: Heart Vessels – volume: 140 start-page: 1834 year: 2019 end-page: 1850 article-title: Searching for atrial fibrillation poststroke: a white paper of the AF‐SCREEN International Collaboration publication-title: Circulation – volume: 50 start-page: 2175 year: 2019 end-page: 2180 article-title: Prolonged cardiac rhythm monitoring and secondary stroke prevention in patients with cryptogenic cerebral ischemia publication-title: Stroke – volume: 23 start-page: 1882 year: 2014 end-page: 1889 article-title: Predicting cardioembolic stroke with the B‐type natriuretic peptide test: a systematic review and meta‐analysis publication-title: J Stroke Cerebrovasc Dis – volume: 14 start-page: 207 year: 2019 end-page: 214 article-title: The AtRial Cardiopathy and Antithrombotic Drugs In prevention After cryptogenic stroke randomized trial: rationale and methods publication-title: Int J Stroke – volume: 44 start-page: 837 year: 1988 end-page: 845 article-title: Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach publication-title: Biometrics – volume: 27 start-page: 1618 year: 2020 end-page: 1624 article-title: Large vessel occlusion is independently associated with atrial fibrillation detection publication-title: Eur J Neurol – volume: 107 start-page: 871 year: 2018 end-page: 880 article-title: Expert opinion paper on atrial fibrillation detection after ischemic stroke publication-title: Clin Res Cardiol – volume: 9 start-page: 419 year: 2014 end-page: 425 article-title: N‐terminal pro‐brain natriuretic peptide shows diagnostic accuracy for detecting atrial fibrillation in cryptogenic stroke patients publication-title: Int J Stroke – volume: 27 start-page: 157 year: 2008 end-page: 172 article-title: Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond publication-title: Stat Med – volume: 251 start-page: 45 year: 2018 end-page: 50 article-title: Yield of atrial fibrillation detection with textile wearable Holter from the acute phase of stroke: pilot study of Crypto‐AF registry publication-title: Int J Cardiol – volume: 125 start-page: 409 year: 2020 end-page: 414 article-title: Detecting atrial fibrillation in patients with an embolic stroke of undetermined source (from the DAF‐ESUS registry) publication-title: Am J Cardiol – volume: 128 start-page: 1100 year: 2018 end-page: 1108 article-title: Detection of cardioembolic stroke with B‐type natriuretic peptide or N‐terminal pro‐BNP: a comparative diagnostic meta‐analysis publication-title: Int J Neurosci – volume: 128 start-page: 235 year: 2013 end-page: 240 article-title: Time course of NT‐proBNP levels after acute ischemic stroke publication-title: Acta Neurol Scand – volume: 85 start-page: 1 year: 2018 end-page: 30 article-title: Standardization of BNP and NT‐ProBNP immunoassays in light of the diverse and complex nature of circulating BNP‐related peptides publication-title: Adv Clin Chem – volume: 51 start-page: 395 year: 2020 end-page: 401 article-title: Brain natriuretic peptide and discovery of atrial fibrillation after stroke: a subanalysis of the find‐AF Trial publication-title: Stroke – volume: 19 start-page: 157 year: 2005 end-page: 164 article-title: Plasma concentrations of brain natriuretic peptide in patients with acute ischemic stroke publication-title: Cerebrovasc Dis – volume: 57 start-page: 361 year: 2020 end-page: 369 article-title: A randomized trial evaluating the accuracy of AF detection by four external ambulatory ECG monitors compared to permanent pacemaker AF detection publication-title: J Interv Card Electrophysiol – volume: 370 start-page: 2467 year: 2014 end-page: 2477 article-title: Atrial fibrillation in patients with cryptogenic stroke publication-title: N Engl J Med – volume: 51 start-page: 1419 year: 2020 end-page: 1427 article-title: Etiologic workup in cases of cryptogenic stroke: a systematic review of international clinical practice guidelines publication-title: Stroke – volume: 13 start-page: 1 year: 2020 end-page: 10 article-title: Comparison of BNP and NT‐proBNP in patients with heart failure and reduced ejection fraction publication-title: Circ Hear Fail – volume: 146 start-page: 857 year: 2007 end-page: 867 article-title: Meta‐analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation publication-title: Ann Intern Med – volume: 50 start-page: 2357 year: 2007 end-page: 2368 article-title: Natriuretic peptides publication-title: J Am Coll Cardiol – volume: 46 start-page: 1187 year: 2015 end-page: 1195 article-title: B‐type natriuretic peptides help in cardioembolic stroke diagnosis publication-title: Stroke – ident: e_1_2_9_23_1 doi: 10.2217/bmm.09.47 – ident: e_1_2_9_24_1 doi: 10.1016/j.jacc.2007.09.021 – ident: e_1_2_9_4_1 doi: 10.7326/0003-4819-146-12-200706190-00007 – ident: e_1_2_9_9_1 doi: 10.1016/j.ijcard.2017.10.063 – ident: e_1_2_9_26_1 doi: 10.1159/000083249 – ident: e_1_2_9_21_1 doi: 10.1002/sim.2929 – ident: e_1_2_9_27_1 doi: 10.1161/01.HYP.33.1.290 – ident: e_1_2_9_30_1 doi: 10.1212/WNL.0000000000004922 – ident: e_1_2_9_14_1 doi: 10.1007/s10840-019-00515-0 – ident: e_1_2_9_17_1 doi: 10.1080/00207454.2017.1408612 – ident: e_1_2_9_13_1 doi: 10.1016/j.amjcard.2019.10.050 – ident: e_1_2_9_12_1 doi: 10.1111/ijs.12126 – ident: e_1_2_9_8_1 doi: 10.1161/STROKEAHA.114.008311 – ident: e_1_2_9_22_1 doi: 10.1007/s00392-018-1256-9 – ident: e_1_2_9_20_1 doi: 10.2307/2531595 – volume: 13 start-page: 1 year: 2020 ident: e_1_2_9_28_1 article-title: Comparison of BNP and NT‐proBNP in patients with heart failure and reduced ejection fraction publication-title: Circ Hear Fail – ident: e_1_2_9_29_1 doi: 10.1016/bs.acc.2018.02.001 – ident: e_1_2_9_10_1 doi: 10.1111/ene.14281 – ident: e_1_2_9_3_1 doi: 10.1056/NEJMoa1313600 – ident: e_1_2_9_11_1 doi: 10.1161/STROKEAHA.119.026496 – ident: e_1_2_9_16_1 doi: 10.1007/s00380-019-01345-w – ident: e_1_2_9_2_1 doi: 10.1056/NEJMoa1311376 – ident: e_1_2_9_18_1 doi: 10.1016/j.jstrokecerebrovasdis.2014.02.014 – ident: e_1_2_9_15_1 doi: 10.1371/journal.pone.0034351 – ident: e_1_2_9_19_1 doi: 10.1177/1747493018799981 – ident: e_1_2_9_5_1 doi: 10.1161/STROKEAHA.119.027123 – ident: e_1_2_9_7_1 doi: 10.1161/CIRCULATIONAHA.119.040267 – ident: e_1_2_9_6_1 doi: 10.1161/STROKEAHA.119.025169 – ident: e_1_2_9_25_1 doi: 10.1111/ane.12112 |
SSID | ssj0002720 |
Score | 2.4403307 |
Snippet | Background and purpose
B‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial... B-type natriuretic peptide (BNP) and N-terminal pro-brain natriuretic peptide (NT-proBNP) are well-known surrogates of atrial fibrillation (AF) detection but... Background and purposeB‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial... |
SourceID | proquest pubmed crossref wiley |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 540 |
SubjectTerms | atrial fibrillation Biomarkers BNP Brain Brain natriuretic peptide Cardiac arrhythmia Confidence intervals cryptogenic stroke Fibrillation Immunoassays Monitoring NT‐proBNP Peptides Prediction models Quartiles Stroke |
Title | B‐type natriuretic peptide over N‐terminal pro‐brain natriuretic peptide to predict incident atrial fibrillation after cryptogenic stroke |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fene.14579 https://www.ncbi.nlm.nih.gov/pubmed/33043545 https://www.proquest.com/docview/2477107850 https://www.proquest.com/docview/2449995044 |
Volume | 28 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB5VPSAuvB8LBRnEgUuqdWwnsTjx2KpC6h4QlXpAivy8dJWsdrOHcuIfwG_klzDjPKBQJMQtUcaOHzP2jD3zDcALFU3wlQiZy9FEkbHMM6N9kUkkr6QS0XOKdz5ZFsen8v2ZOtuDV2MsTI8PMR24kWSk9ZoE3NjtL0KOSwGKuSopeI-LgnDz3334CR1F94vJ2FI8I74bUIXIi2cqeXkv-kPBvKyvpg3n6CZ8Gpva-5mcH-46e-g-_4bi-J99uQU3BkWUve455zbsheYOXDsZrtrvwtc33798owNa1hCK_y5FO7I1OcH4wMjxky2JonemWTFsJ75ayjhxZYmuRRKqvWN0vE_xwcyknCEsUtjBqnfKYylpOXObi3XXInNjDdtu056He3B6tPj49jgbsjdkTnKts0rnheNznPjoBffzMhobjXQx5DpIaVScx0KHHFVEGaN3lRUFj4UVxnM0nEtxH_abtgkPgQkenNZIZUKU2kpLoHu2FN6q0igRZvBynMfaDdDmlGFjVY8mDg5wnQZ4Bs8n0nWP53EV0cHIDPUg0ts6lyVqY2Wl5jN4Nn1GYaQbFtOEdkc0ZEBih-QMHvRMNP2FDo4E6qvY2MQKf_99vVgu0sOjfyd9DNdz8rZJ_uQHsN9tduEJqkudfZrk4gcirhdj |
linkProvider | Wiley-Blackwell |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LbtQwcFSKBFzKs3ShgEEcuKTaxM7DEhdAWy3Q3QNqpV5Q5Oelq2S1zR7aU_-gfCNfwozzgEKRELdEGTt-zNjzHoDXqVfOFtxFJkERRfg8iZS0WSQQvBAp9zameOfZPJseiU_H6fEGvO1jYdr8EIPCjSgjnNdE4KSQ_oXK8SxAOk9zeQNuBvscsURffiaPIgtjELfSOCLM6_IKkR_P0PTqbfQHi3mVYw1Xzv5d-NoPtvU0OdlbN3rPnP-Wx_F_Z3MPtjpelL1rkec-bLjqAdyaddb2h3D5_vvFN9LRsooS-a9DwCNbkh-MdYx8P9mcIFp_mgXDgeKrpqIT17ZoagSh3htGGn4KEWYqlA1hniIPFq1fHgt1y5lZnS2bGvEbezhtVvWJewRH-5PDD9OoK-AQGRFLGRUyyUw8xr33lsd2nHulvRLGu0Q6IVTqxz6TLkEuUXhvTaF5FvtMc2VjlJ1zvg2bVV25HWA8dkZKhFLOC6mFprx7OudWp7lKuRvBm34jS9NlN6ciG4uyl3JwgcuwwCN4NYAu25Qe1wHt9thQdlR9WiYiR4YsL9LxCF4On5EeyciiKlevCYZkSJyQGMHjFouGv5DuiCPLioMNuPD335eT-SQ8PPl30Bdwe3o4OygPPs4_P4U7CTnfBPfyXdhsVmv3DLmnRj8PRPIDdqQbgQ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB6VIlVceFMWChjEgUuqTWwnsTjx2FV5dIUQlXpAivy8dJWsttkDnPgH8Bv5Jcw4DygUCXFLlLHjx4w9Y898A_BYBu1dyX1iMzRRRCiyRCuXJwLJSyF5cCnFOx8u8oMj8fpYHm_B0yEWpsOHGA_cSDLiek0CvnLhFyHHpQDFXBbqAlwUOW6TpBG9_4kdRReM0dqSaUKM18MKkRvPWPTsZvSHhnlWYY07zvwKfBza2jmanOxvWrNvP_8G4_ifnbkKl3tNlD3rWOcabPn6Ouwc9nftN-Dr8-9fvtEJLasJxn8Twx3ZirxgnGfk-ckWRNF50ywZthNfDaWcOLdE2yAJ1d4yOt-nAGGmY9IQFijuYNl55bGYtZzZ9adV2yB3Yw2n7bo58TfhaD778OIg6dM3JFakSiWlynKbTnHmg-OpmxZBm6CFDT5TXggtwzTkymeoI4oQnC0Nz9OQG65dipZzwW_Bdt3U_jYwnnqrFFJpH4QywhDqnim4M7LQkvsJPBnmsbI9tjml2FhWg42DA1zFAZ7Ao5F01QF6nEe0NzBD1cv0aZWJAtWxopTTCTwcP6M00hWLrn2zIRqyILFDYgK7HRONf6GTI44KKzY2ssLff1_NFrP4cOffSR_AzruX8-rtq8Wbu3ApI8-b6Fu-B9vteuPvoerUmvtRRH4AJI4aMA |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=B-type+natriuretic+peptide+over+N-terminal+pro-brain+natriuretic+peptide+to+predict+incident+atrial+fibrillation+after+cryptogenic+stroke&rft.jtitle=European+journal+of+neurology&rft.au=Pal%C3%A0%2C+E&rft.au=Pagola%2C+J&rft.au=Juega%2C+J&rft.au=Francisco-Pascual%2C+J&rft.date=2021-02-01&rft.eissn=1468-1331&rft.volume=28&rft.issue=2&rft.spage=540&rft_id=info:doi/10.1111%2Fene.14579&rft_id=info%3Apmid%2F33043545&rft.externalDocID=33043545 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1351-5101&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1351-5101&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1351-5101&client=summon |