Gábor Bánfai

Dr. Gábor Bánfai

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
27 May 2022 in Metabolites
Verified
Journal Article
Open access
PDF file
GBGábor Bánfai
Gábor Bánfai
PKPeter Kanizsai
Peter Kanizsai
CCCsaba Csontos
Csaba Csontos
SKSzilárd Kun
Szilárd Kun
ÁLÁgnes Lakatos
Ágnes Lakatos
GMGergo A. Molnar
Gergo A. Molnar
COVID-19 infection may lead to serious complications, e.g., need for mechanical ventilation or death in some cases. A retrospective analysis of patients referred to our COVID Emergency Department, indiscriminately, was performed. A routine lab analysis measured amino acids in plasma and urine of patients. Data of surviving and deceased patients and those requiring or not requiring mechanical ventilation were compared, and logistic regression analyses have been performed. Deceased patients were older, had higher blood glucose, potassium, AST, LDH, troponin, d-dimer, hsCRP, procalcitonin, interleukin-6 levels (p < 0.05 for all). They had lower plasma serine, glycine, threonine, tryptophan levels (p < 0.01), higher tyrosine and phenylalanine levels (p < 0.05), and higher fractional excretion of arginine, methionine, and proline (p < 0.05) than survivors. In a regression model, age, severity score of COVID-pneumonia, plasma levels of threonine and phenylalanine were predictors of in-hospital mortality. There was a difference in ventilated vs. non-ventilated patients in CT-scores, glucose, and renal function (p < 0.001). Using logistic regression, CT-score, troponin, plasma level, and fractional excretion of glycine were predictors of ventilation. Plasma levels and renal excretion of certain amino acids are associated with the outcome of COVID-19 infection beside other parameters such as the CT-score or age.

Verified
Journal Article
Open access
PDF file
MGMarin Gergics
Marin Gergics
GPGréta Pham-Dobor
Gréta Pham-Dobor
CKCsilla Kurdi
Csilla Kurdi
GMGergely Montskó
Gergely Montskó
KMKrisztina Mihályi
Krisztina Mihályi
LBLászló Bajnok
László Bajnok
Background: The adrenocortical system and copeptin as prognostic markers were intensively investigated in critical illness. The potential predictive power of apelin-13 as a biomarker is largely unknown. We aimed to investigate the prognostic role of apelin-13 in relation to free cortisol, aldosterone, CRH, and copeptin in critically ill patients. Methods: In this prospective observational study, 124 critically ill patients (64 men, 60 women, median age: 70 (59–78) years) were consecutively enrolled at the time of admission. All routinely available clinical and laboratory parameters were evaluated and correlated to hormonal changes. Results: Serum apelin-13 was 1161 (617–2967) pg/mL in non-survivors vs. 2477 (800–3531) pg/mL in survivors (p = 0.054). The concentrations of apelin-13 and CRH had strong positive correlations (r = 0.685, p < 0.001) and were significantly higher in surviving non-septic patients (Apelin-13 (pg/mL): 2286 (790–3330) vs. 818 (574–2732) p < 0.05; CRH (pg/mL) 201 (84–317) vs. 89 (74–233) p < 0.05). Apelin-13 and free cortisol were independent determinants of survival in the multivariate Cox regression analysis, while copeptin, CRH, or aldosterone were not. Conclusions: Beyond free cortisol, serum apelin-13 may also help refine prognostic predictions in the early phase of critical illness, especially in non-septic patients.

1 January 2021 in Diabetologia Hungarica
Verified
Journal Article
Open access
GMGergő Attila Molnár
Gergő Attila Molnár
GBGábor Bánfai
Gábor Bánfai
PKPeter Kanizsai
Peter Kanizsai
CCCsaba Csontos
Csaba Csontos
SKSzilárd Kun
Szilárd Kun
IWIstván Wittmann
István Wittmann