Evangelia Fouka

Dr. Evangelia Fouka

G. Papanikolaou General Hospital, Thessaloníki, Kentrikí Makedonía, Greece
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

View All Publications
7 November 2024 in Journal of Allergy and Clinical Immunology
Verified
Journal Article
Open access
Kelly DomvriKelly Domvri
Kelly Domvri
ITIoanna Tsiouprou
Ioanna Tsiouprou
Petros BakakosPetros Bakakos
Petros Bakakos
PSPaschalis Steiropoulos
Paschalis Steiropoulos
KKKonstantinos Katsoulis
Konstantinos Katsoulis
KPKonstantinos Porpodis
Konstantinos Porpodis

31 May 2023 in Life
Verified
Journal Article
Open access
PDF file
Anastasia PapaporfyriouAnastasia Papaporfyriou
Anastasia Papaporfyriou
Konstantinos BartziokasKonstantinos Bartziokas
Konstantinos Bartziokas
DGDaniela Gompelmann
Daniela Gompelmann
MIMarco Idzko
Marco Idzko
Evangelia FoukaEvangelia Fouka
Evangelia Fouka
APAndriana I Papaioannou
Andriana I Papaioannou
Chronic obstructive pulmonary disease (COPD) is considered one of the leading causes of mortality. Cardiovascular comorbidities are diagnosed often in COPD patients, not only because of the common risk factors these two diseases share, but also because of the systemic inflammation which characterizes COPD and has deleterious effects in the cardiovascular system. The comorbid cardiovascular diseases in COPD result in several difficulties in the holistic treatment of these patients and affect outcomes such as morbidity and mortality. Several studies have reported that mortality from cardiovascular causes is common among COPD patients, while the risk for acute cardiovascular events increases during COPD exacerbations and remains high for a long time even after recovery. In this review, we focus on the prevalence of cardiovascular comorbidities in COPD patients, presenting the evidence regarding the interaction of the pathophysiological pathways which characterize each disease. Furthermore, we summarize information regarding the effects of cardiovascular treatment on COPD outcomes and vice versa. Finally, we present the current evidence regarding the impact of cardiovascular comorbidities on exacerbations, quality of life and survival of COPD patients.

Verified
Journal Article
Open access
PDF file
Evangelia FoukaEvangelia Fouka
Evangelia Fouka
APAndriana I Papaioannou
Andriana I Papaioannou
GHGeorgios Hillas
Georgios Hillas
Paschalis SteiropoulosPaschalis Steiropoulos
Paschalis Steiropoulos
The term asthma-COPD overlap (ACO) has been used to identify a heterogeneous condition in which patients present with airflow limitation that is not completely reversible and clinical and inflammatory features of both asthma and chronic obstructive pulmonary disease (COPD). ACO diagnosis may be difficult in clinical practice, while controversy still exists regarding its definition, pathophysiology, and impact. Patients with ACO experience a greater disease burden compared to patients with asthma or COPD alone, but in contrast they show better response to inhaled corticosteroid treatment than other COPD phenotypes. Current management recommendations focus on defining specific and measurable treatable clinical traits, according to disease phenotypes and underlying biological mechanisms for every single patient. In this publication, we review the current knowledge on definition, pathophysiology, clinical characteristics, and management options of ACO.

Verified
Journal Article
Open access
PDF file
Konstantinos PorpodisKonstantinos Porpodis
Konstantinos Porpodis
ITIoanna Tsiouprou
Ioanna Tsiouprou
AAApostolos Apostolopoulos
Apostolos Apostolopoulos
PNPOLYXENI NJTONTSI
POLYXENI NJTONTSI
Evangelia FoukaEvangelia Fouka
Evangelia Fouka
Kelly DomvriKelly Domvri
Kelly Domvri
Asthma phenotyping and endotyping are constantly evolving. Currently, several biologic agents have been developed towards a personalized approach to asthma management. This review will focus on different eosinophilic phenotypes and Th2-associated endotypes with eosinophilic inflammation. Additionally, airway remodeling is analyzed as a key feature of asthmatic eosinophilic endotypes. In addition, evidence of biomarkers is examined with a predictive value to identify patients with severe, uncontrolled asthma who may benefit from new treatment options. Finally, there will be a discussion on the results from clinical trials regarding severe eosinophilic asthma and how the inhibition of the eosinophilic pathway by targeted treatments has led to the reduction of recurrent exacerbations.

14 July 2014 in Lung
Verified
Journal Article
Closed access
PDF file
Evangelia FoukaEvangelia Fouka
Evangelia Fouka
ELEleftheria Lamprianidou
Eleftheria Lamprianidou
KAKonstantinos Arvanitidis
Konstantinos Arvanitidis
EFEirini Filidou
Eirini Filidou
GKGeorge Kolios
George Kolios
DBDEMOSTHENES BOUROS BOUROS
DEMOSTHENES BOUROS BOUROS

26 September 2022 in Frontiers in Medicine
Verified
Journal Article
Open access
Evangelia FoukaEvangelia Fouka
Evangelia Fouka
KDKalliopi Domvri
Kalliopi Domvri
FGFoteini Gkakou
Foteini Gkakou
MAMaria Alevizaki
Maria Alevizaki
PSPaschalis Steiropoulos
Paschalis Steiropoulos
Konstantinos PorpodisKonstantinos Porpodis
Konstantinos Porpodis
Contemporary asthma management requires a proactive and individualized approach, combining precision diagnosis and personalized treatment. The introduction of biologic therapies for severe asthma to everyday clinical practice, increases the need for specific patient selection, prediction of outcomes and monitoring of these costly and long-lasting therapies. Several biomarkers have been used in asthma in disease identification, prediction of asthma severity and prognosis, and response to treatment. Novel advances in the area of personalized medicine regarding disease phenotyping and endotyping, encompass the development and application of reliable biomarkers, accurately quantified using robust and reproducible methods. The availability of powerful omics technologies, together with integrated and network-based genome data analysis, and microbiota changes quantified in serum, body fluids and exhaled air, will lead to a better classification of distinct phenotypes or endotypes. Herein, in this review we discuss on currently used and novel biomarkers for the diagnosis and treatment of asthma.