The influence of atrial fibrillation on the prognostic value of brain natriuretic peptide (BNP) in risk assesment of paroxysmal ventricular tachycardia

Author:

Matsiukevich M. Ch.1ORCID,Snezhitskiy V. A.1ORCID

Affiliation:

1. Grodno state medical university

Abstract

Introduction. Brain natriuretic peptide (BNP) as marker of higher left ventricular myocardial mechanical stress has a strong prognostic value in patients with heart failure (HF). Elevated BNP levels are associated with the of malignant ventricular arrhythmias. Atrial fibrillation (AF) is known to futher elevate BNP levels and this can influence on BNP prognostic value. The aim of the study was to assess the predictive value of BNP in risk assessment of paroxysmal ventricular tachycardia (PVT) in patients with HF and AF. Materials and methods. Totally, 92 patients with sustained or persistent AF, HF with left ventricular ejection fraction < 50 %. All patients underwent transthoratic echocardiography; 24-hour ECG monitoring to assess the ventricular arrhythmia burden. BNP determination by enzyme immunoassay in venous blood serum. Results. Patients with HF, AF and PVTcompared with patients with HF and AF without PVT have higher levels of BNP (298,8 [149; 500,6] pg/ml versus 152 [145,7; 335,4] pg/ml, р = 0,02). There is a significant positive correlation between the level of BNP and the amount of PVT per 24 hours (r = 0,26; р < 0,05). Increased BNP levels are associated with an increased risk of VPT, OR = 3,71 [95 % CI 1,2 to 13,1]. Discussion. BNP is a novel biomarker to improve risk stratification of sudden cardiac death not only for patients in sinus rhythm but for patients with AF. Conclusions. BNP has a predictive value in risk assessment of PVT in patients with HF and AF.

Publisher

Ural State Medical University

Reference24 articles.

1. Oganov R.G., Simanenkov V.I., Bakulin I.G., Bakulina N.V., Barbarash O.L., Boitsov S.A., Boldueva S.A., Garganeeva N.P., Doshchitsin V.L., Karateev A.E., Kotovskaya Yu.V., Lila A.M., Luk'yanov M.M., Morozova T.E., Pereverzev A.P., Petrova M.M., Pozdnyakov Yu.M., Syrov A.V., Tarasov A.V., Tkacheva O.N., Shal'nova S.A. Komorbidnaya patologiya v klinicheskoi praktike. Algoritmy diagnostiki i lecheniya. Kardiovaskulyarnaya terapiya i profilaktika. 2019;18(1):5–66. https://doi.org/10.15829/1728-8800-2019-1-5-66.

2. Kozyrev O.A., Bazina I.B., Zubkov S.K., Litvinova I.A., Levina Yu.V., Zagubnaya E.S., Kirsova M.P. Kardiorenal'nyi sindrom u bol'nykh s ostrym infarktom miokarda. Kardiologiya: novosti, mneniya, obuchenie. 2019;7(4): 7–13. DOI: 10.24411/2309-1908-2019-14001.

3. Bolezni serdtsa po Braunval'du: rukovodstvo po serdechno-sosudistoi meditsine / pod red. P. Libbi i dr.; per. s angl., pod obshch. red. R.G. Oganova. V 4 t. T. 4: glavy 61–89. M.: Logosfera, 2015. 808 s.: Perevod izd. Braunwald’s heart disease: a textbook of cardiovascular medicine, Peter Libby [ et al.], 8th ed. ISBN 978-5-98657-048-8.

4. Davydov V.V., Arekhina E.L. Prichiny razvitiya i progressirovaniya kardiorenal'nogo sindroma pri khronicheskoi serdechnoi nedostatochnosti. Metody profilaktiki. Rossiiskii kardiologicheskii zhurnal. 2021;26(1):4160. DOI:10.15829/1560-4071-2021-4160.

5. Pyrikova N.V., Osipova I.V., Mozgunov N.A. Otsenka gemodinamicheskikh parametrov u bol'nykh, gospitalizirovannykh s dekompensatsiei khronicheskoi serdechnoi nedostatochnosti. RMZh. 2021;1:5–9.

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