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Risk prediction of atrial fibrillation and its complications in the community using hs troponin I

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.

Risk prediction of atrial fibrillation and its complications in the community using hs troponin I

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.
Katso/Avaa
Eur J Clin Investigation - 2023 - B rschel - Risk prediction of atrial fibrillation and its complications in the community.pdf (610.7Kb)
Lataukset: 

Wiley
doi:10.1111/eci.13950
URI
https://doi.org/10.1111/eci.13950
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2023031531713
Tiivistelmä

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.

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