A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Risk prediction of atrial fibrillation and its complications in the community using hs troponin I
Tekijät: Börschel Christin S., Geelhoed Bastiaan, Niiranen Teemu, Camen Stephan, Donati Maria Benedetta, Havulinna Aki S., Gianfagna Francesco, Palosaari Tarja, Jousilahti Pekka, Kontto Jukka, Vartiainen Erkki, Ojeda Francisco M., den Ruijter Hester M., Costanzo Simona, de Gaetano Giovanni, Di Castelnuovo Augusto, Linneberg Allan, Vishram-Nielsen Julie K., Løchen Maja-Lisa, Koenig Wolfgang, Jørgensen Torben, Kuulasmaa Kari, Blankenberg Stefan, Iacoviello Licia, Zeller Tanja, Söderberg Stefan, Salomaa Veikko, Schnabel Renate B.
Kustantaja: Wiley
Julkaisuvuosi: 2023
Journal: European Journal of Clinical Investigation
Tietokannassa oleva lehden nimi: EUROPEAN JOURNAL OF CLINICAL INVESTIGATION
Lehden akronyymi: EUR J CLIN INVEST
Artikkelin numero: e13950
Vuosikerta: 53
Numero: 5
Sivujen määrä: 9
ISSN: 0014-2972
DOI: https://doi.org/10.1111/eci.13950
Verkko-osoite: https://doi.org/10.1111/eci.13950
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/178882652
Aims: Atrial fibrillation (AF) is becoming increasingly common. Traditional cardiovascular risk factors (CVRF) do not explain all AF cases. Blood-based biomarkers reflecting cardiac injury such as high-sensitivity troponin I (hsTnI) may help close this gap.
Methods: We investigated the predictive ability of hsTnI for incident AF in 45,298 participants (median age 51.4 years, 45.0% men) across European community cohorts in comparison to CVRF and established biomarkers (C-reactive protein, N-terminal pro B-type natriuretic peptide).
Results: During a median follow-up of 7.7 years, 1734 (3.8%) participants developed AF. Those in the highest hsTnI quarter (≥4.2 ng/L) had a 3.91-fold (95% confidence interval (CI) 3.30, 4.63; p < .01) risk for developing AF compared to the lowest quarter (<1.4 ng/L). In multivariable-adjusted Cox proportional hazards models a statistically significant association was seen between hsTnI and AF (hazard ratio (HR) per 1 standard deviation (SD) increase in log10(hsTnI) 1.08; 95% CI 1.01, 1.16; p = .03). Inclusion of hsTnI did improve model discrimination (C-index CVRF 0.811 vs. C-index CVRF and hsTnI 0.813; p < .01). Higher hsTnI concentrations were associated with heart failure (HR per SD 1.37; 95% CI 1.12, 1.68; p < .01) and overall mortality (HR per SD 1.24; 95% CI 1.09, 1.41; p < .01).
Conclusion: hsTnI as a biomarker of myocardial injury does not improve prediction of AF incidence beyond classical CVRF and NT-proBNP. However, it is associated with the AF-related disease heart failure and mortality likely reflecting underlying subclinical cardiovascular impairment.
Ladattava julkaisu This is an electronic reprint of the original article. |