Diagnostics (Dec 2022)

ECG and Biomarker Profile in Patients with Acute Heart Failure: A Pilot Study

  • Adriana Chetran,
  • Alexandru Dan Costache,
  • Carmen Iulia Ciongradi,
  • Stefania Teodora Duca,
  • Ovidiu Mitu,
  • Victorita Sorodoc,
  • Corina Maria Cianga,
  • Cristina Tuchilus,
  • Ivona Mitu,
  • Raluca Daria Mitea,
  • Minerva Codruta Badescu,
  • Irina Afrasanie,
  • Bogdan Huzum,
  • Stefana Maria Moisa,
  • Cristian Sorin Prepeliuc,
  • Mihai Roca,
  • Irina Iuliana Costache

DOI
https://doi.org/10.3390/diagnostics12123037
Journal volume & issue
Vol. 12, no. 12
p. 3037

Abstract

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Background: Biomarkers, electrocardiogram (ECG) and Holter ECG are basic, accessible and feasible cardiac investigations. The combination of their results may lead to a more complex predictive model that may improve the clinical approach in acute heart failure (AHF). The main objective was to investigate which ECG parameters are correlated with the usual cardiac biomarkers (prohormone N-terminal proBNP, high-sensitive cardiac troponin I) in patients with acute heart failure, in a population from Romania. The relationship between certain ECG parameters and cardiac biomarkers may support future research on their combined prognostic value. Methods: In this prospective case-control study were included 49 patients with acute heart failure and 31 participants in the control group. For all patients we measured levels of prohormone N-terminal proBNP (NT-proBNP), high-sensitive cardiac troponin I (hs-cTnI) and MB isoenzyme of creatine phosphokinase (CK-MB) and evaluated the 12-lead ECG and 24 h Holter monitoring. Complete clinical and paraclinical evaluation was performed. Results: NT-proBNP level was significantly higher in patients with AHF (p p = 0.027), pathological Q wave (p = 0.029), complex premature ventricular contractions (PVCs) (p = 0.034) and ventricular tachycardia (p = 0.048). Hs-cTnI and CK-MB were correlated with ST-segment modification (p = 0.038; p = 0.018) and hs-cTnI alone with complex PVCs (p = 0.031). Conclusions: The statistical relationships found between cardiac biomarkers and ECG patterns support the added value of ECG in the diagnosis of AHF. We emphasize the importance of proper ECG analysis of more subtle parameters that can easily be missed. As a non-invasive technique, ECG can be used in the outpatient setting as a warning signal, announcing the acute decompensation of HF. In addition, the information provided by the ECG complements the biomarker results, supporting the diagnosis of AHF in cases of dyspnea of uncertain etiology. Further studies are needed to confirm long-term prognosis in a multi-marker approach.

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