Galateia Verykokou

Dr. Galateia Verykokou

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

View All Publications
Verified
Journal Article
Open access
PDF file
Konstantinos BartziokasKonstantinos Bartziokas
Konstantinos Bartziokas
EPEvgenia Papathanasiou
Evgenia Papathanasiou
APAndriana I Papaioannou
Andriana I Papaioannou
IPIlias C Papanikolaou
Ilias C Papanikolaou
EAEmmanouil Antonakis
Emmanouil Antonakis
KKKostas Kostikas
Kostas Kostikas
Background: In recent years, blood eosinophils have been evaluated as a surrogate biomarker for eosinophilic airway inflammation and as a prognostic indicator of the outcomes of hospitalized COPD subjects. During an exacerbation of COPD, eosinopenia has been proposed as a prognostic marker of adverse outcomes. Objectives: The aim of the present post hoc analysis was to elucidate the effectiveness of blood eosinophils for predicting the need of NIV in subjects with COPD exacerbation. Methods: Consecutive subjects admitted to a hospital for COPD exacerbation were included in the analysis. The eosinophil count from the first complete blood count was used to designate the eosinophil groups. The relationship between the clinical characteristics and blood eosinophil counts, as dichotomized using 150 cells/μL, was evaluated. Results Subjects with blood eosinophil number < 150 k/μL had a more severe disease on admission compared to subjects with ≥150 k/μL, regarding pH 7.400 (7.36, 7.44) vs. 7.42 (7.38, 7.45), p = 0.008, PO2/FiO2 levels 238.1 (189.8, 278.6) vs. 276.2 (238.2, 305.6), p < 0.001, CRP (mg/L) levels 7.3 (3.1, 19.9) vs. 3.5 (0.7, 7.8), p < 0.001 and required a longer hospital stay (days) 10.0 (8.0, 14.0) vs. 5.0 (3.0, 7.0) p < 0.001 respectively. The number of blood eosinophils correlated with the levels of CRP upon admission (p < 0.001, r = −0.334), with arterial pH upon admission (p < 0.030, r = 0.121), with PO2/FiO2 (p < 0.001, r = −0.248), and with duration of hospital stay (p < 0.001, r = −0.589). In the multinomial logistic regression analysis, blood eosinophil count < 150 k/μL was an independent predictor of the use of NIV during hospital stay. Conclusion: During COPD exacerbation, low blood eosinophil levels upon admission are related to more severe disease and can be used as a predictor of the need of NIV. Further prospective studies are needed to identify the use of blood eosinophil levels as a predictor of unfavorable outcomes.

1 January 2023 in Geriatrics & Gerontology International
Verified
Journal Article
Closed access
GVGalateia Verykokou
Galateia Verykokou
VAVasiliki Apollonatou
Vasiliki Apollonatou
APAndriana I Papaioannou
Andriana I Papaioannou
AVAnastasios Vogiatzoglou
Anastasios Vogiatzoglou
KRKonstantinos Roukas
Konstantinos Roukas
SLStelios Loukides
Stelios Loukides

1 November 2024 in Experimental and Therapeutic Medicine
Verified
Journal Article
Open access
PDF file
GVGalateia Verykokou
Galateia Verykokou
APAndriana I. Papaioannou
Andriana I. Papaioannou
VAVassiliki Apollonatou
Vassiliki Apollonatou
DKDimitra Kavatha
Dimitra Kavatha
DBDimitrios Boumpas
Dimitrios Boumpas
SLStelios Loukides
Stelios Loukides
During the coronavirus disease‑19 (COVID‑19) pandemic, there was an unprecedented requirement for hospital bed availability. The present study aimed to examine the characteristics and outcomes of patients hospitalized in a COVID‑19 unit that operated as a novel middle‑step unit in Greece. The present study aimed to determine whether the middle‑step unit supported the central general hospitals; thus, highlighting the potential of these models in future pandemics. During the 9‑month period of operation, a total of 631 patients were admitted. In addition, 539 (85.4%) patients were discharged, 57 (9%) patients were referred to surrounding hospitals for further management and 35 (5.6%) patients succumbed. Based on the results of the present study, an algorithm for patient referral to middle‑step units was outlined for future pandemics.