NT-proBNP is a powerful predictor for incident atrial fibrillation — Validation of a multimarker approach

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• 作者：Emma Svennberg^a ; ^{emma.svennberg@ds.se" class="auth_mail" title="E-mail the corresponding author} ; Bertil Lindahl^b ; ^c ; Lars Berglund^c ; Kai M. Eggers^b ; ^c ; Per Venge^d ; Bjö ; rn Zethelius^e ; Må ; rten Rosenqvist^a ; Lars Lind^d ; Ziad Hijazi^b ; ^c
• 关键词：Atrial fibrillation ; Biomarkers ; Natriuretic peptide ; Troponin ; Cystatin C ; C-reactive protein ; Growth differentiating factor 15
• 刊名：International Journal of Cardiology
• 出版年：2016
• 出版时间：15 November 2016
• 年：2016
• 卷：223
• 期：Complete
• 页码：74-81
• 全文大小：633 K

文摘

Biomarkers may be of value to identify individuals at risk of developing atrial fibrillation (AF). Using a multimarker approach, this study investigated if the biomarkers; NT-proBNP, high-sensitivity cardiac troponin (hs-cTn), growth differentiation factor-15 (GDF-15), cystatin C and high-sensitivity C-reactive protein (CRP) are independent predictors for incident AF.

Methods

Blood samples were collected from 883 individuals in the Uppsala Longitudinal Study of Adult Men (ULSAM) and 978 individuals in the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study. Participants were followed for 10–13 years with n = 113 incident AF cases in ULSAM and n = 148 in PIVUS. The associations between biomarkers and incident AF were analysed in Cox proportional hazards regression models.

Results

The hazard ratio (HR) for incident AF was significant for all five biomarkers in unadjusted analyses in both cohorts. Only NT-proBNP remained significant when adjusting for cardiovascular risk factors and the other biomarkers (HR (1SD) 2.05 (1.62–2.59) (ULSAM) and 1.56 (1.30–1.86) (PIVUS), both p < 0.001). The C-index improved from 0.64 to 0.69 in ULSAM and from 0.62 to 0.68 in PIVUS, by adding NT-proBNP to cardiovascular risk factors (both p < 0.001). The C-index of the CHARGE-AF risk score increased from 0.62 to 0.68 (ULSAM) and 0.60 to 0.66 (PIVUS) by addition of NT-proBNP (p < 0.001).

Conclusions

Using a multimarker approach NT-proBNP was the strongest predictor of incident AF in two cohorts, and improved risk prediction when added to traditional risk factors. NT-proBNP significantly improved the predictive ability of the novel CHARGE-AF risk score, although the predictive value remained modest.